From d086fa0e9aa8cc3afa7f2b4d9bf2c14ea2427249 Mon Sep 17 00:00:00 2001 From: Molly Smith Date: Thu, 8 Jun 2023 13:57:31 -0600 Subject: [PATCH 01/50] Cloned precipGauge to create ensemble app --- apps/ensemble/.eslintrc.json | 49 + apps/ensemble/.meteor/.finished-upgraders | 19 + apps/ensemble/.meteor/.gitignore | 1 + apps/ensemble/.meteor/.id | 7 + apps/ensemble/.meteor/packages | 31 + apps/ensemble/.meteor/platforms | 2 + apps/ensemble/.meteor/release | 1 + apps/ensemble/.meteor/versions | 109 + apps/ensemble/.prettierrc | 3 + apps/ensemble/app.css | 159 + apps/ensemble/client/main.js | 8 + apps/ensemble/package-lock.json | 6699 +++++++++++++++++ apps/ensemble/package.json | 42 + apps/ensemble/public/favicon.ico | Bin 0 -> 5430 bytes apps/ensemble/public/title | 1 + .../server/dataFunctions/data_contour.js | 231 + .../server/dataFunctions/data_contour_diff.js | 259 + .../dataFunctions/data_dailymodelcycle.js | 254 + .../server/dataFunctions/data_dieoff.js | 274 + .../server/dataFunctions/data_histogram.js | 207 + .../server/dataFunctions/data_perfDiagram.js | 266 + .../server/dataFunctions/data_series.js | 271 + .../server/dataFunctions/data_threshold.js | 244 + .../server/dataFunctions/data_validtime.js | 245 + apps/ensemble/server/main.js | 1451 ++++ 25 files changed, 10833 insertions(+) create mode 100644 apps/ensemble/.eslintrc.json create mode 100644 apps/ensemble/.meteor/.finished-upgraders create mode 100644 apps/ensemble/.meteor/.gitignore create mode 100644 apps/ensemble/.meteor/.id create mode 100644 apps/ensemble/.meteor/packages create mode 100644 apps/ensemble/.meteor/platforms create mode 100644 apps/ensemble/.meteor/release create mode 100644 apps/ensemble/.meteor/versions create mode 100644 apps/ensemble/.prettierrc create mode 100644 apps/ensemble/app.css create mode 100644 apps/ensemble/client/main.js create mode 100644 apps/ensemble/package-lock.json create mode 100644 apps/ensemble/package.json create mode 100755 apps/ensemble/public/favicon.ico create mode 100644 apps/ensemble/public/title create mode 100644 apps/ensemble/server/dataFunctions/data_contour.js create mode 100644 apps/ensemble/server/dataFunctions/data_contour_diff.js create mode 100644 apps/ensemble/server/dataFunctions/data_dailymodelcycle.js create mode 100644 apps/ensemble/server/dataFunctions/data_dieoff.js create mode 100644 apps/ensemble/server/dataFunctions/data_histogram.js create mode 100644 apps/ensemble/server/dataFunctions/data_perfDiagram.js create mode 100644 apps/ensemble/server/dataFunctions/data_series.js create mode 100644 apps/ensemble/server/dataFunctions/data_threshold.js create mode 100644 apps/ensemble/server/dataFunctions/data_validtime.js create mode 100644 apps/ensemble/server/main.js diff --git a/apps/ensemble/.eslintrc.json b/apps/ensemble/.eslintrc.json new file mode 100644 index 0000000000..8b795b7df7 --- /dev/null +++ b/apps/ensemble/.eslintrc.json @@ -0,0 +1,49 @@ +{ + "env": { + "node": true, + "browser": true + }, + "parser": "@babel/eslint-parser", + "parserOptions": { + "sourceType": "module", + "requireConfigFile": false, + "allowImportExportEverywhere": true + }, + "extends": ["airbnb", "prettier", "plugin:meteor/recommended"], + "plugins": ["prettier", "meteor"], + "settings": { + "import/resolver": "meteor" + }, + "rules": { + "prettier/prettier": "error", + "react/jsx-filename-extension": "off", + "import/no-absolute-path": "off", + "import/extensions": "off", + // disabled so that we're not expecting to find 'meteor' within + // our dependencies. + // XXX: this *should* be taken care of by eslint-import-resolver-meteor, investigate. + // "import/no-extraneous-dependencies": "off", + "no-underscore-dangle": ["error", { "allow": ["_id", "_ensureIndex"] }], + "object-shorthand": ["error", "always", { "avoidQuotes": false }], + "space-before-function-paren": "off", + // for Meteor API's that rely on `this` context, e.g. Template.onCreated and publications + "func-names": "off", + "prefer-arrow-callback": "off", + + // Vx Team modifications - Warn on rules that would require refactoring to implement. + // We want to be able to turn these back into "error"'s at some point. However, for + // our first pass, we'll only consider the checks that ESLint can auto-fix as errors. + // https://eslint.org/docs/latest/use/configure/rules#rule-severities + "no-undef": "warn", + "no-plusplus": "warn", + "vars-on-top": "warn", + "no-var": "warn", + "block-scoped-var": "warn", + "no-loop-func": "warn", + "no-unused-vars": "warn", + "prefer-destructuring": "warn", + "no-param-reassign": "warn", + "camelcase": "warn", + "no-redeclare": "warn" + } +} diff --git a/apps/ensemble/.meteor/.finished-upgraders b/apps/ensemble/.meteor/.finished-upgraders new file mode 100644 index 0000000000..c07b6ff75a --- /dev/null +++ b/apps/ensemble/.meteor/.finished-upgraders @@ -0,0 +1,19 @@ +# This file contains information which helps Meteor properly upgrade your +# app when you run 'meteor update'. You should check it into version control +# with your project. + +notices-for-0.9.0 +notices-for-0.9.1 +0.9.4-platform-file +notices-for-facebook-graph-api-2 +1.2.0-standard-minifiers-package +1.2.0-meteor-platform-split +1.2.0-cordova-changes +1.2.0-breaking-changes +1.3.0-split-minifiers-package +1.4.0-remove-old-dev-bundle-link +1.4.1-add-shell-server-package +1.4.3-split-account-service-packages +1.5-add-dynamic-import-package +1.7-split-underscore-from-meteor-base +1.8.3-split-jquery-from-blaze diff --git a/apps/ensemble/.meteor/.gitignore b/apps/ensemble/.meteor/.gitignore new file mode 100644 index 0000000000..4083037423 --- /dev/null +++ b/apps/ensemble/.meteor/.gitignore @@ -0,0 +1 @@ +local diff --git a/apps/ensemble/.meteor/.id b/apps/ensemble/.meteor/.id new file mode 100644 index 0000000000..d134f932ce --- /dev/null +++ b/apps/ensemble/.meteor/.id @@ -0,0 +1,7 @@ +# This file contains a token that is unique to your project. +# Check it into your repository along with the rest of this directory. +# It can be used for purposes such as: +# - ensuring you don't accidentally deploy one app on top of another +# - providing package authors with aggregated statistics + +17m0cbn1e1jjc21wsi83n diff --git a/apps/ensemble/.meteor/packages b/apps/ensemble/.meteor/packages new file mode 100644 index 0000000000..c1f540349b --- /dev/null +++ b/apps/ensemble/.meteor/packages @@ -0,0 +1,31 @@ +# Meteor packages used by this project, one per line. +# Check this file (and the other files in this directory) into your repository. +# +# 'meteor add' and 'meteor remove' will edit this file for you, +# but you can also edit it by hand. + +meteor-base@1.5.1 # Packages every Meteor app needs to have +mobile-experience@1.1.0 # Packages for a great mobile UX +mongo@1.16.5 # The database Meteor supports right now +blaze-html-templates # Compile .html files into Meteor Blaze views +reactive-var@1.0.12 # Reactive variable for tracker +jquery@1.11.10 # Helpful client-side library +tracker@1.3.1 # Meteor's client-side reactive programming library +standard-minifier-js@2.8.1 # JS minifier run for production mode +es5-shim@4.8.0 # ECMAScript 5 compatibility for older browsers. +ecmascript@0.16.6 # Enable ECMAScript2015+ syntax in app code +shell-server@0.5.0 # Server-side component of the `meteor shell` command +pcel:mysql +seba:minifiers-autoprefixer +session@1.2.1 +momentjs:moment +randyp:mats-common@5.1.0 +accounts-google@1.4.0 +accounts-base@2.2.7 +accounts-ui@1.4.2 +google-config-ui@1.0.3 +dynamic-import@0.7.2 +underscore@1.0.12 +kadira:blaze-layout +ostrio:flow-router-extra +meteorhacks:picker diff --git a/apps/ensemble/.meteor/platforms b/apps/ensemble/.meteor/platforms new file mode 100644 index 0000000000..efeba1b50c --- /dev/null +++ b/apps/ensemble/.meteor/platforms @@ -0,0 +1,2 @@ +server +browser diff --git a/apps/ensemble/.meteor/release b/apps/ensemble/.meteor/release new file mode 100644 index 0000000000..31dd9a2ea8 --- /dev/null +++ b/apps/ensemble/.meteor/release @@ -0,0 +1 @@ +METEOR@2.11.0 diff --git a/apps/ensemble/.meteor/versions b/apps/ensemble/.meteor/versions new file mode 100644 index 0000000000..9b76c4ab05 --- /dev/null +++ b/apps/ensemble/.meteor/versions @@ -0,0 +1,109 @@ +accounts-base@2.2.7 +accounts-google@1.4.0 +accounts-oauth@1.4.2 +accounts-password@2.3.4 +accounts-ui@1.4.2 +accounts-ui-unstyled@1.7.0 +allow-deny@1.1.1 +autoupdate@1.8.0 +babel-compiler@7.10.3 +babel-runtime@1.5.1 +base64@1.0.12 +binary-heap@1.0.11 +blaze@2.6.1 +blaze-html-templates@2.0.0 +blaze-tools@1.1.3 +boilerplate-generator@1.7.1 +caching-compiler@1.2.2 +caching-html-compiler@1.2.1 +callback-hook@1.5.0 +check@1.3.2 +ddp@1.4.1 +ddp-client@2.6.1 +ddp-common@1.4.0 +ddp-rate-limiter@1.1.1 +ddp-server@2.6.0 +diff-sequence@1.1.2 +differential:event-hooks@1.5.0 +dynamic-import@0.7.2 +ecmascript@0.16.6 +ecmascript-runtime@0.8.0 +ecmascript-runtime-client@0.12.1 +ecmascript-runtime-server@0.11.0 +ejson@1.1.3 +email@2.2.4 +es5-shim@4.8.0 +fetch@0.1.3 +geojson-utils@1.0.11 +google-config-ui@1.0.3 +google-oauth@1.4.3 +hot-code-push@1.0.4 +html-tools@1.1.3 +htmljs@1.1.1 +id-map@1.1.1 +inter-process-messaging@0.1.1 +jquery@1.11.11 +kadira:blaze-layout@2.3.0 +launch-screen@1.3.0 +less@4.0.0 +localstorage@1.2.0 +logging@1.3.2 +mdg:validated-method@1.3.0 +meteor@1.11.1 +meteor-base@1.5.1 +meteorhacks:picker@1.0.3 +meteortoys:toykit@10.0.0 +minifier-css@1.6.2 +minifier-js@2.7.5 +minimongo@1.9.2 +mobile-experience@1.1.0 +mobile-status-bar@1.1.0 +modern-browsers@0.1.9 +modules@0.19.0 +modules-runtime@0.13.1 +momentjs:moment@2.29.3 +mongo@1.16.5 +mongo-decimal@0.1.3 +mongo-dev-server@1.1.0 +mongo-id@1.0.8 +msavin:mongol@10.0.1 +natestrauser:select2@4.0.3 +npm-mongo@4.14.0 +oauth@2.2.0 +oauth2@1.3.2 +observe-sequence@1.0.20 +ordered-dict@1.1.0 +ostrio:flow-router-extra@3.9.0 +pcel:mysql@0.1.0 +promise@0.12.2 +random@1.2.1 +randyp:mats-common@5.1.0 +rate-limit@1.0.9 +react-fast-refresh@0.2.6 +reactive-dict@1.3.1 +reactive-var@1.0.12 +reload@1.3.1 +retry@1.1.0 +risul:bootstrap-colorpicker@2.3.6 +routepolicy@1.1.1 +seba:minifiers-autoprefixer@2.0.1 +service-configuration@1.3.1 +session@1.2.1 +sha@1.0.9 +shell-server@0.5.0 +socket-stream-client@0.5.0 +spacebars@1.3.0 +spacebars-compiler@1.3.1 +standard-minifier-js@2.8.1 +templating@1.4.2 +templating-compiler@1.4.1 +templating-runtime@1.6.1 +templating-tools@1.2.2 +tracker@1.3.1 +twbs:bootstrap@3.3.6 +underscore@1.0.12 +url@1.3.2 +webapp@1.13.4 +webapp-hashing@1.1.1 +yasinuslu:json-view@1.2.3 +zodern:types@1.0.9 diff --git a/apps/ensemble/.prettierrc b/apps/ensemble/.prettierrc new file mode 100644 index 0000000000..b90ca94e60 --- /dev/null +++ b/apps/ensemble/.prettierrc @@ -0,0 +1,3 @@ +{ + "printWidth": 88 +} diff --git a/apps/ensemble/app.css b/apps/ensemble/app.css new file mode 100644 index 0000000000..5e50cb8e28 --- /dev/null +++ b/apps/ensemble/app.css @@ -0,0 +1,159 @@ +/* + * Copyright (c) 2021 Colorado State University and Regents of the University of Colorado. All rights reserved. + */ + +/* CSS declarations go here */ +html, +body { + height: 100%; +} + +@font-face { + font-family: "PublicSans-Regular"; + src: url("/packages/randyp_mats-common/public/fonts/PublicSans-Regular.ttf"); +} + +@font-face { + font-family: "PublicSans-SemiBold"; + src: url("/packages/randyp_mats-common/public/fonts/PublicSans-SemiBold.ttf"); +} + +@font-face { + font-family: "PublicSans-Medium"; + src: url("/packages/randyp_mats-common/public/fonts/PublicSans-Medium.ttf"); +} + +body { + margin-top: 1%; + margin-left: 2%; + margin-right: 2%; + margin-bottom: 1%; + padding: 0; + background: url("/packages/randyp_mats-common/public/img/bg.png") repeat; + font-family: PublicSans-Regular, Arial, Helvetica, sans-serif; + font-size: 15px; + color: #333333; /*#545454;*/ +} + +.main { + width: 100%; + margin: 0; + padding: 0; + background-color: white; + font-family: PublicSans-Regular, Arial, Helvetica, sans-serif; + font-size: 15px; +} + +.modal-backdrop { + background-color: grey; +} + +.modal-header { + background-image: url("/packages/randyp_mats-common/public/img/subtle_grunge_@2X.png"); +} + +.modal-body { + background-image: url("/packages/randyp_mats-common/public/img/texturetastic_gray.png"); +} + +.modal-content { + background-image: url("/packages/randyp_mats-common/public/img/subtle_grunge_@2X.png"); +} + +.modal-footer { + background-image: url("/packages/randyp_mats-common/public/img/subtle_grunge_@2X.png"); +} + +#Mongol.Mongol_expand { + max-width: 720px !important; +} + +#placeholder .button { + position: absolute; + cursor: pointer; +} + +#placeholder div.button { + font-size: smaller; + color: #999; + background-color: #eee; + padding: 2px; +} + +.message { + padding-left: 50px; + font-size: smaller; +} + +hr { + height: 0; + border-top: 1px; + color: #eee; + background-color: #eee; +} + +.spacer { + padding-left: 1em; +} + +.rule { + width: 100%; + height: 7px; + overflow: hidden; +} + +.spacebutton { + background: transparent; + border: none; +} + +.input { + max-width: 100%; +} + +.select2-selection--multiple { + max-height: 200px; + overflow: auto; +} + +.boldedPublicSans { + font-family: PublicSans-SemiBold, Arial, Helvetica, serif; +} + +.regularPublicSans { + font-family: PublicSans-Regular, Arial, Helvetica, sans-serif; +} + +.mediumPublicSans { + font-family: PublicSans-Medium, Arial, Helvetica, serif; +} + +.item + .tooltip > .tooltip-inner { + background-color: #73ad21; + color: #ffffff; + border: 1px solid green; + padding: 5px; + font-size: 15px; + max-width: 350px; + width: 350px; +} + +.daterangepicker .ranges li { + background-color: #bfdfff; + font-size: 14px !important; + margin: 5px 2px; + border-radius: 10px; + border-color: #dddddd; + border-width: 1px; +} + +.daterangepicker .drp-selected { + font-size: 18px !important; + color: #990000; +} + +.login-link-text { + color: white; + font-size: medium; + text-decoration: none !important; +} diff --git a/apps/ensemble/client/main.js b/apps/ensemble/client/main.js new file mode 100644 index 0000000000..a87407a1f4 --- /dev/null +++ b/apps/ensemble/client/main.js @@ -0,0 +1,8 @@ +/* + * Copyright (c) 2021 Colorado State University and Regents of the University of Colorado. All rights reserved. + */ + +import { matsTypes, matsCollections, methods } from "meteor/randyp:mats-common"; +import "@fortawesome/fontawesome-free"; +import "@fortawesome/fontawesome-free/css/all.css"; +import "@fortawesome/fontawesome-free/js/all.js"; diff --git a/apps/ensemble/package-lock.json b/apps/ensemble/package-lock.json new file mode 100644 index 0000000000..a193d171c3 --- /dev/null +++ b/apps/ensemble/package-lock.json @@ -0,0 +1,6699 @@ +{ + "name": "ensemble", + "lockfileVersion": 2, + "requires": true, + "packages": { + "": { + "name": "ensemble", + "dependencies": { + "@babel/runtime": "^7.21.0", + "@fortawesome/fontawesome-free": "^6.3.0", + "@popperjs/core": "^2.11.6", + "bootstrap": "^4.6.2", + "chai": "^4.3.7", + "daterangepicker": "^3.1.0", + "downsample-lttb": "0.0.1", + "fibers": "^5.0.3", + "fs-extra": "^7.0.1", + "html2canvas": "^1.4.1", + "jquery": "^2.2.4", + "jspdf": "^2.5.1", + "modules": "^0.4.0", + "object-hash": "^1.3.1", + "object-sizeof": "^1.6.3", + 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a/apps/ensemble/public/title b/apps/ensemble/public/title new file mode 100644 index 0000000000..7d0141ae0e --- /dev/null +++ b/apps/ensemble/public/title @@ -0,0 +1 @@ +Ensemble \ No newline at end of file diff --git a/apps/ensemble/server/dataFunctions/data_contour.js b/apps/ensemble/server/dataFunctions/data_contour.js new file mode 100644 index 0000000000..e4cd3b9a06 --- /dev/null +++ b/apps/ensemble/server/dataFunctions/data_contour.js @@ -0,0 +1,231 @@ +/* + * Copyright (c) 2021 Colorado State University and Regents of the University of Colorado. All rights reserved. + */ + +import { + matsCollections, + matsTypes, + matsDataUtils, + matsDataQueryUtils, + matsDataCurveOpsUtils, + matsDataProcessUtils, +} from "meteor/randyp:mats-common"; +import { moment } from "meteor/momentjs:moment"; + +dataContour = function (plotParams, plotFunction) { + // initialize variables common to all curves + const appParams = { + plotType: matsTypes.PlotTypes.contour, + matching: plotParams.plotAction === matsTypes.PlotActions.matched, + completeness: plotParams.completeness, + outliers: plotParams.outliers, + hideGaps: plotParams.noGapsCheck, + hasLevels: false, + }; + const dataRequests = {}; // used to store data queries + let dataFoundForCurve = true; + const totalProcessingStart = moment(); + const dateRange = matsDataUtils.getDateRange(plotParams.dates); + const fromSecs = dateRange.fromSeconds; + const toSecs = dateRange.toSeconds; + const xAxisParam = plotParams["x-axis-parameter"]; + const yAxisParam = plotParams["y-axis-parameter"]; + const xValClause = matsCollections.PlotParams.findOne({ name: "x-axis-parameter" }) + .optionsMap[xAxisParam]; + const yValClause = matsCollections.PlotParams.findOne({ name: "y-axis-parameter" }) + .optionsMap[yAxisParam]; + let error = ""; + const curves = JSON.parse(JSON.stringify(plotParams.curves)); + if (curves.length > 1) { + throw new Error("INFO: There must only be one added curve."); + } + const dataset = []; + const axisMap = Object.create(null); + + // initialize variables specific to the curve + const curve = curves[0]; + const { label } = curve; + const model = matsCollections["data-source"].findOne({ name: "data-source" }) + .optionsMap[curve["data-source"]][0]; + const regionStr = curve.region; + const region = Object.keys( + matsCollections.region.findOne({ name: "region" }).valuesMap + ).find( + (key) => + matsCollections.region.findOne({ name: "region" }).valuesMap[key] === regionStr + ); + const source = curve.truth; + let sourceStr = ""; + if (source !== "All") { + sourceStr = `_${source}`; + } + const queryTableClause = `from ${model}_${region}${sourceStr} as m0`; + let thresholdClause = ""; + let validTimeClause = ""; + let forecastLengthClause = ""; + let dateString = ""; + let dateClause = ""; + if (xAxisParam !== "Threshold" && yAxisParam !== "Threshold") { + const thresholdStr = curve.threshold; + const threshold = Object.keys( + matsCollections.threshold.findOne({ name: "threshold" }).valuesMap + ).find( + (key) => + matsCollections.threshold.findOne({ name: "threshold" }).valuesMap[key] === + thresholdStr + ); + thresholdClause = `and m0.thresh = ${threshold}`; + } + if (xAxisParam !== "Valid UTC hour" && yAxisParam !== "Valid UTC hour") { + const validTimes = curve["valid-time"] === undefined ? [] : curve["valid-time"]; + if (validTimes.length > 0 && validTimes !== matsTypes.InputTypes.unused) { + validTimeClause = `and m0.valid_time%(24*3600)/3600 IN(${validTimes})`; + } + } + if (xAxisParam !== "Fcst lead time" && yAxisParam !== "Fcst lead time") { + const forecastLength = curve["forecast-length"]; + forecastLengthClause = `and m0.fcst_len = ${forecastLength}`; + } + if ( + (xAxisParam === "Init Date" || yAxisParam === "Init Date") && + xAxisParam !== "Valid Date" && + yAxisParam !== "Valid Date" + ) { + dateString = "m0.valid_time-m0.fcst_len*3600"; + } else { + dateString = "m0.valid_time"; + } + dateClause = `and ${dateString} >= ${fromSecs} and ${dateString} <= ${toSecs}`; + const statisticSelect = curve.statistic; + const statisticOptionsMap = matsCollections.statistic.findOne( + { name: "statistic" }, + { optionsMap: 1 } + ).optionsMap; + const statisticClause = + "sum(m0.yy) as hit, sum(m0.yn) as fa, sum(m0.ny) as miss, sum(m0.nn) as cn, group_concat(m0.valid_time, ';', m0.yy, ';', m0.yn, ';', m0.ny, ';', m0.nn order by m0.valid_time) as sub_data, count(m0.yy) as N0"; + // For contours, this functions as the colorbar label. + const statType = statisticOptionsMap[statisticSelect][0]; + curve.unitKey = statisticOptionsMap[statisticSelect][1]; + + let d; + // this is a database driven curve, not a difference curve + // prepare the query from the above parameters + let statement = + "{{xValClause}} " + + "{{yValClause}} " + + "count(distinct {{dateString}}) as N_times, " + + "min({{dateString}}) as min_secs, " + + "max({{dateString}}) as max_secs, " + + "{{statisticClause}} " + + "{{queryTableClause}} " + + "where 1=1 " + + "{{dateClause}} " + + "{{thresholdClause}} " + + "{{validTimeClause}} " + + "{{forecastLengthClause}} " + + "group by xVal,yVal " + + "order by xVal,yVal" + + ";"; + + statement = statement.replace("{{xValClause}}", xValClause); + statement = statement.replace("{{yValClause}}", yValClause); + statement = statement.replace("{{statisticClause}}", statisticClause); + statement = statement.replace("{{queryTableClause}}", queryTableClause); + statement = statement.replace("{{thresholdClause}}", thresholdClause); + statement = statement.replace("{{validTimeClause}}", validTimeClause); + statement = statement.replace("{{forecastLengthClause}}", forecastLengthClause); + statement = statement.replace("{{dateClause}}", dateClause); + statement = statement.split("{{dateString}}").join(dateString); + dataRequests[label] = statement; + + let queryResult; + const startMoment = moment(); + let finishMoment; + try { + // send the query statement to the query function + queryResult = matsDataQueryUtils.queryDBContour( + sumPool, + statement, + appParams, + statisticSelect + ); + finishMoment = moment(); + dataRequests[`data retrieval (query) time - ${label}`] = { + begin: startMoment.format(), + finish: finishMoment.format(), + duration: `${moment + .duration(finishMoment.diff(startMoment)) + .asSeconds()} seconds`, + recordCount: queryResult.data.xTextOutput.length, + }; + // get the data back from the query + d = queryResult.data; + } catch (e) { + // this is an error produced by a bug in the query function, not an error returned by the mysql database + e.message = `Error in queryDB: ${e.message} for statement: ${statement}`; + throw new Error(e.message); + } + if (queryResult.error !== undefined && queryResult.error !== "") { + if (queryResult.error === matsTypes.Messages.NO_DATA_FOUND) { + // this is NOT an error just a no data condition + dataFoundForCurve = false; + } else { + // this is an error returned by the mysql database + error += `Error from verification query:
${queryResult.error}
query:
${statement}
`; + throw new Error(error); + } + } + + if (!dataFoundForCurve) { + // we found no data for any curves so don't bother proceeding + throw new Error("INFO: No valid data for any curves."); + } + + const postQueryStartMoment = moment(); + + // set curve annotation to be the curve mean -- may be recalculated later + // also pass previously calculated axis stats to curve options + const { mean } = d.glob_stats; + const annotation = + mean === undefined + ? `${label}- mean = NoData` + : `${label}- mean = ${mean.toPrecision(4)}`; + curve.annotation = annotation; + curve.xmin = d.xmin; + curve.xmax = d.xmax; + curve.ymin = d.ymin; + curve.ymax = d.ymax; + curve.zmin = d.zmin; + curve.zmax = d.zmax; + curve.xAxisKey = xAxisParam; + curve.yAxisKey = yAxisParam; + const cOptions = matsDataCurveOpsUtils.generateContourCurveOptions( + curve, + axisMap, + d, + appParams + ); // generate plot with data, curve annotation, axis labels, etc. + dataset.push(cOptions); + const postQueryFinishMoment = moment(); + dataRequests[`post data retrieval (query) process time - ${label}`] = { + begin: postQueryStartMoment.format(), + finish: postQueryFinishMoment.format(), + duration: `${moment + .duration(postQueryFinishMoment.diff(postQueryStartMoment)) + .asSeconds()} seconds`, + }; + + // process the data returned by the query + const curveInfoParams = { curve: curves, statType, axisMap }; + const bookkeepingParams = { + dataRequests, + totalProcessingStart, + }; + const result = matsDataProcessUtils.processDataContour( + dataset, + curveInfoParams, + plotParams, + bookkeepingParams + ); + plotFunction(result); +}; diff --git a/apps/ensemble/server/dataFunctions/data_contour_diff.js b/apps/ensemble/server/dataFunctions/data_contour_diff.js new file mode 100644 index 0000000000..5460fe0f7f --- /dev/null +++ b/apps/ensemble/server/dataFunctions/data_contour_diff.js @@ -0,0 +1,259 @@ +/* + * Copyright (c) 2021 Colorado State University and Regents of the University of Colorado. All rights reserved. + */ + +import { + matsCollections, + matsTypes, + matsDataUtils, + matsDataQueryUtils, + matsDataDiffUtils, + matsDataCurveOpsUtils, + matsDataProcessUtils, + matsPlotUtils, +} from "meteor/randyp:mats-common"; +import { moment } from "meteor/momentjs:moment"; + +dataContourDiff = function (plotParams, plotFunction) { + // initialize variables common to all curves + const appParams = { + plotType: matsTypes.PlotTypes.contourDiff, + matching: plotParams.plotAction === matsTypes.PlotActions.matched, + completeness: plotParams.completeness, + outliers: plotParams.outliers, + hideGaps: plotParams.noGapsCheck, + hasLevels: false, + }; + const dataRequests = {}; // used to store data queries + let dataFoundForCurve = true; + let dataNotFoundForAnyCurve = false; + const showSignificance = plotParams.significance !== "none"; + const totalProcessingStart = moment(); + const dateRange = matsDataUtils.getDateRange(plotParams.dates); + const fromSecs = dateRange.fromSeconds; + const toSecs = dateRange.toSeconds; + const xAxisParam = plotParams["x-axis-parameter"]; + const yAxisParam = plotParams["y-axis-parameter"]; + const xValClause = matsCollections.PlotParams.findOne({ name: "x-axis-parameter" }) + .optionsMap[xAxisParam]; + const yValClause = matsCollections.PlotParams.findOne({ name: "y-axis-parameter" }) + .optionsMap[yAxisParam]; + let error = ""; + let curves = JSON.parse(JSON.stringify(plotParams.curves)); + const curvesLength = curves.length; + if (curvesLength !== 2) { + throw new Error("INFO: There must be two added curves."); + } + let dataset = []; + const axisMap = Object.create(null); + + for (let curveIndex = 0; curveIndex < curvesLength; curveIndex++) { + // initialize variables specific to each curve + const curve = curves[curveIndex]; + const { label } = curve; + const model = matsCollections["data-source"].findOne({ name: "data-source" }) + .optionsMap[curve["data-source"]][0]; + var regionStr = curve.region; + const region = Object.keys( + matsCollections.region.findOne({ name: "region" }).valuesMap + ).find( + (key) => + matsCollections.region.findOne({ name: "region" }).valuesMap[key] === regionStr + ); + const source = curve.truth; + let sourceStr = ""; + if (source !== "All") { + sourceStr = `_${source}`; + } + const queryTableClause = `from ${model}_${region}${sourceStr} as m0`; + let thresholdClause = ""; + let validTimeClause = ""; + let forecastLengthClause = ""; + let dateString = ""; + let dateClause = ""; + if (xAxisParam !== "Threshold" && yAxisParam !== "Threshold") { + var thresholdStr = curve.threshold; + const threshold = Object.keys( + matsCollections.threshold.findOne({ name: "threshold" }).valuesMap + ).find( + (key) => + matsCollections.threshold.findOne({ name: "threshold" }).valuesMap[key] === + thresholdStr + ); + thresholdClause = `and m0.thresh = ${threshold}`; + } + if (xAxisParam !== "Valid UTC hour" && yAxisParam !== "Valid UTC hour") { + const validTimes = curve["valid-time"] === undefined ? [] : curve["valid-time"]; + if (validTimes.length > 0 && validTimes !== matsTypes.InputTypes.unused) { + validTimeClause = `and m0.valid_time%(24*3600)/3600 IN(${validTimes})`; + } + } + if (xAxisParam !== "Fcst lead time" && yAxisParam !== "Fcst lead time") { + const forecastLength = curve["forecast-length"]; + forecastLengthClause = `and m0.fcst_len = ${forecastLength}`; + } + if ( + (xAxisParam === "Init Date" || yAxisParam === "Init Date") && + xAxisParam !== "Valid Date" && + yAxisParam !== "Valid Date" + ) { + dateString = "m0.valid_time-m0.fcst_len*3600"; + } else { + dateString = "m0.valid_time"; + } + dateClause = `and ${dateString} >= ${fromSecs} and ${dateString} <= ${toSecs}`; + var statisticSelect = curve.statistic; + const statisticOptionsMap = matsCollections.statistic.findOne( + { name: "statistic" }, + { optionsMap: 1 } + ).optionsMap; + const statisticClause = + "sum(m0.yy) as hit, sum(m0.yn) as fa, sum(m0.ny) as miss, sum(m0.nn) as cn, group_concat(m0.valid_time, ';', m0.yy, ';', m0.yn, ';', m0.ny, ';', m0.nn order by m0.valid_time) as sub_data, count(m0.yy) as N0"; + // For contours, this functions as the colorbar label. + var statType = statisticOptionsMap[statisticSelect][0]; + curves[curveIndex].unitKey = statisticOptionsMap[statisticSelect][1]; + + var d; + // this is a database driven curve, not a difference curve + // prepare the query from the above parameters + let statement = + "{{xValClause}} " + + "{{yValClause}} " + + "count(distinct {{dateString}}) as N_times, " + + "min({{dateString}}) as min_secs, " + + "max({{dateString}}) as max_secs, " + + "{{statisticClause}} " + + "{{queryTableClause}} " + + "where 1=1 " + + "{{dateClause}} " + + "{{thresholdClause}} " + + "{{validTimeClause}} " + + "{{forecastLengthClause}} " + + "group by xVal,yVal " + + "order by xVal,yVal" + + ";"; + + statement = statement.replace("{{xValClause}}", xValClause); + statement = statement.replace("{{yValClause}}", yValClause); + statement = statement.replace("{{statisticClause}}", statisticClause); + statement = statement.replace("{{queryTableClause}}", queryTableClause); + statement = statement.replace("{{thresholdClause}}", thresholdClause); + statement = statement.replace("{{validTimeClause}}", validTimeClause); + statement = statement.replace("{{forecastLengthClause}}", forecastLengthClause); + statement = statement.replace("{{dateClause}}", dateClause); + statement = statement.split("{{dateString}}").join(dateString); + dataRequests[label] = statement; + + var queryResult; + const startMoment = moment(); + var finishMoment; + try { + // send the query statement to the query function + queryResult = matsDataQueryUtils.queryDBContour( + sumPool, + statement, + appParams, + statisticSelect + ); + finishMoment = moment(); + dataRequests[`data retrieval (query) time - ${label}`] = { + begin: startMoment.format(), + finish: finishMoment.format(), + duration: `${moment + .duration(finishMoment.diff(startMoment)) + .asSeconds()} seconds`, + recordCount: queryResult.data.xTextOutput.length, + }; + // get the data back from the query + d = queryResult.data; + } catch (e) { + // this is an error produced by a bug in the query function, not an error returned by the mysql database + e.message = `Error in queryDB: ${e.message} for statement: ${statement}`; + throw new Error(e.message); + } + if (queryResult.error !== undefined && queryResult.error !== "") { + if (queryResult.error === matsTypes.Messages.NO_DATA_FOUND) { + // this is NOT an error just a no data condition + dataFoundForCurve = false; + } else { + // this is an error returned by the mysql database + error += `Error from verification query:
${queryResult.error}
query:
${statement}
`; + throw new Error(error); + } + dataNotFoundForAnyCurve = true; + } + + const postQueryStartMoment = moment(); + + // set curve annotation to be the curve mean -- may be recalculated later + // also pass previously calculated axis stats to curve options + const { mean } = d.glob_stats; + const annotation = + mean === undefined + ? `${label}- mean = NoData` + : `${label}- mean = ${mean.toPrecision(4)}`; + curve.annotation = annotation; + curve.xmin = d.xmin; + curve.xmax = d.xmax; + curve.ymin = d.ymin; + curve.ymax = d.ymax; + curve.zmin = d.zmin; + curve.zmax = d.zmax; + curve.xAxisKey = xAxisParam; + curve.yAxisKey = yAxisParam; + const cOptions = matsDataCurveOpsUtils.generateContourCurveOptions( + curve, + axisMap, + d, + appParams + ); // generate plot with data, curve annotation, axis labels, etc. + dataset.push(cOptions); + const postQueryFinishMoment = moment(); + dataRequests[`post data retrieval (query) process time - ${label}`] = { + begin: postQueryStartMoment.format(), + finish: postQueryFinishMoment.format(), + duration: `${moment + .duration(postQueryFinishMoment.diff(postQueryStartMoment)) + .asSeconds()} seconds`, + }; + } // end for curves + + if (dataNotFoundForAnyCurve) { + // we found no data for at least one curve so don't bother proceeding + throw new Error( + "INFO: No valid data for at least one curve. Try making individual contour plots to determine which one." + ); + } + + // turn the two contours into one difference contour + dataset = matsDataDiffUtils.getDataForDiffContour( + dataset, + appParams, + showSignificance, + plotParams.significance, + statisticSelect, + statType === "ctc", + statType === "scalar" + ); + plotParams.curves = matsDataUtils.getDiffContourCurveParams(plotParams.curves); + curves = plotParams.curves; + dataset[0].name = matsPlotUtils.getCurveText( + matsTypes.PlotTypes.contourDiff, + curves[0] + ); + dataset[1] = matsDataCurveOpsUtils.getContourSignificanceLayer(dataset); + + // process the data returned by the query + const curveInfoParams = { curve: curves, statType, axisMap }; + const bookkeepingParams = { + dataRequests, + totalProcessingStart, + }; + const result = matsDataProcessUtils.processDataContour( + dataset, + curveInfoParams, + plotParams, + bookkeepingParams + ); + plotFunction(result); +}; diff --git a/apps/ensemble/server/dataFunctions/data_dailymodelcycle.js b/apps/ensemble/server/dataFunctions/data_dailymodelcycle.js new file mode 100644 index 0000000000..e0f4721495 --- /dev/null +++ b/apps/ensemble/server/dataFunctions/data_dailymodelcycle.js @@ -0,0 +1,254 @@ +/* + * Copyright (c) 2021 Colorado State University and Regents of the University of Colorado. All rights reserved. + */ + +import { + matsCollections, + matsTypes, + matsDataUtils, + matsDataQueryUtils, + matsDataDiffUtils, + matsDataCurveOpsUtils, + matsDataProcessUtils, +} from "meteor/randyp:mats-common"; +import { moment } from "meteor/momentjs:moment"; + +dataDailyModelCycle = function (plotParams, plotFunction) { + // initialize variables common to all curves + const appParams = { + plotType: matsTypes.PlotTypes.dailyModelCycle, + matching: plotParams.plotAction === matsTypes.PlotActions.matched, + completeness: plotParams.completeness, + outliers: plotParams.outliers, + hideGaps: plotParams.noGapsCheck, + hasLevels: false, + }; + const dataRequests = {}; // used to store data queries + let dataFoundForCurve = true; + let dataFoundForAnyCurve = false; + const totalProcessingStart = moment(); + const dateRange = matsDataUtils.getDateRange(plotParams.dates); + const fromSecs = dateRange.fromSeconds; + const toSecs = dateRange.toSeconds; + let error = ""; + const curves = JSON.parse(JSON.stringify(plotParams.curves)); + const curvesLength = curves.length; + const dataset = []; + const utcCycleStarts = []; + const axisMap = Object.create(null); + let xmax = -1 * Number.MAX_VALUE; + let ymax = -1 * Number.MAX_VALUE; + let xmin = Number.MAX_VALUE; + let ymin = Number.MAX_VALUE; + const idealValues = []; + + for (let curveIndex = 0; curveIndex < curvesLength; curveIndex++) { + // initialize variables specific to each curve + const curve = curves[curveIndex]; + const { diffFrom } = curve; + const { label } = curve; + const model = matsCollections["data-source"].findOne({ name: "data-source" }) + .optionsMap[curve["data-source"]][0]; + var regionStr = curve.region; + const region = Object.keys( + matsCollections.region.findOne({ name: "region" }).valuesMap + ).find( + (key) => + matsCollections.region.findOne({ name: "region" }).valuesMap[key] === regionStr + ); + const source = curve.truth; + let sourceStr = ""; + if (source !== "All") { + sourceStr = `_${source}`; + } + const queryTableClause = `from ${model}_${region}${sourceStr} as m0`; + var thresholdStr = curve.threshold; + const threshold = Object.keys( + matsCollections.threshold.findOne({ name: "threshold" }).valuesMap + ).find( + (key) => + matsCollections.threshold.findOne({ name: "threshold" }).valuesMap[key] === + thresholdStr + ); + const thresholdClause = `and m0.thresh = ${threshold}`; + if (curve["utc-cycle-start"].length !== 1) { + throw new Error( + "INFO: Please select exactly one UTC Cycle Init Hour for this plot type." + ); + } + const utcCycleStart = Number(curve["utc-cycle-start"][0]); + utcCycleStarts[curveIndex] = utcCycleStart; + const utcCycleStartClause = `and floor((m0.valid_time - m0.fcst_len*3600)%(24*3600)/3600) IN(${utcCycleStart})`; + const forecastLengthClause = "and m0.fcst_len < 24"; + const dateClause = `and m0.valid_time >= ${fromSecs} and m0.valid_time <= ${toSecs}`; + const statisticSelect = curve.statistic; + const statisticOptionsMap = matsCollections.statistic.findOne( + { name: "statistic" }, + { optionsMap: 1 } + ).optionsMap; + const statisticClause = + "sum(m0.yy) as hit, sum(m0.yn) as fa, sum(m0.ny) as miss, sum(m0.nn) as cn, group_concat(m0.valid_time, ';', m0.yy, ';', m0.yn, ';', m0.ny, ';', m0.nn order by m0.valid_time) as sub_data, count(m0.yy) as N0"; + // axisKey is used to determine which axis a curve should use. + // This axisKeySet object is used like a set and if a curve has the same + // units (axisKey) it will use the same axis. + // The axis number is assigned to the axisKeySet value, which is the axisKey. + var statType = statisticOptionsMap[statisticSelect][0]; + const axisKey = statisticOptionsMap[statisticSelect][1]; + curves[curveIndex].axisKey = axisKey; // stash the axisKey to use it later for axis options + const idealVal = statisticOptionsMap[statisticSelect][2]; + if (idealVal !== null && idealValues.indexOf(idealVal) === -1) { + idealValues.push(idealVal); + } + + var d; + if (!diffFrom) { + // this is a database driven curve, not a difference curve + // prepare the query from the above parameters + let statement = + "select m0.valid_time as avtime, " + + "count(distinct m0.valid_time) as N_times, " + + "min(m0.valid_time) as min_secs, " + + "max(m0.valid_time) as max_secs, " + + "{{statisticClause}} " + + "{{queryTableClause}} " + + "where 1=1 " + + "{{dateClause}} " + + "{{utcCycleStartClause}} " + + "{{thresholdClause}} " + + "{{forecastLengthClause}} " + + "group by avtime " + + "order by avtime" + + ";"; + + statement = statement.replace("{{statisticClause}}", statisticClause); + statement = statement.replace("{{queryTableClause}}", queryTableClause); + statement = statement.replace("{{thresholdClause}}", thresholdClause); + statement = statement.replace("{{utcCycleStartClause}}", utcCycleStartClause); + statement = statement.replace("{{forecastLengthClause}}", forecastLengthClause); + statement = statement.replace("{{dateClause}}", dateClause); + dataRequests[label] = statement; + + var queryResult; + const startMoment = moment(); + var finishMoment; + try { + // send the query statement to the query function + queryResult = matsDataQueryUtils.queryDBSpecialtyCurve( + sumPool, + statement, + appParams, + statisticSelect + ); + finishMoment = moment(); + dataRequests[`data retrieval (query) time - ${label}`] = { + begin: startMoment.format(), + finish: finishMoment.format(), + duration: `${moment + .duration(finishMoment.diff(startMoment)) + .asSeconds()} seconds`, + recordCount: queryResult.data.x.length, + }; + // get the data back from the query + d = queryResult.data; + } catch (e) { + // this is an error produced by a bug in the query function, not an error returned by the mysql database + e.message = `Error in queryDB: ${e.message} for statement: ${statement}`; + throw new Error(e.message); + } + if (queryResult.error !== undefined && queryResult.error !== "") { + if (queryResult.error === matsTypes.Messages.NO_DATA_FOUND) { + // this is NOT an error just a no data condition + dataFoundForCurve = false; + } else { + // this is an error returned by the mysql database + error += `Error from verification query:
${queryResult.error}
query:
${statement}
`; + throw new Error(error); + } + } else { + dataFoundForAnyCurve = true; + } + + // set axis limits based on returned data + var postQueryStartMoment = moment(); + if (dataFoundForCurve) { + xmin = xmin < d.xmin ? xmin : d.xmin; + xmax = xmax > d.xmax ? xmax : d.xmax; + ymin = ymin < d.ymin ? ymin : d.ymin; + ymax = ymax > d.ymax ? ymax : d.ymax; + } + } else { + // this is a difference curve + const diffResult = matsDataDiffUtils.getDataForDiffCurve( + dataset, + diffFrom, + appParams, + statType === "ctc", + statType === "scalar" + ); + d = diffResult.dataset; + xmin = xmin < d.xmin ? xmin : d.xmin; + xmax = xmax > d.xmax ? xmax : d.xmax; + ymin = ymin < d.ymin ? ymin : d.ymin; + ymax = ymax > d.ymax ? ymax : d.ymax; + } + + // set curve annotation to be the curve mean -- may be recalculated later + // also pass previously calculated axis stats to curve options + const mean = d.sum / d.x.length; + const annotation = + mean === undefined + ? `${label}- mean = NoData` + : `${label}- mean = ${mean.toPrecision(4)}`; + curve.annotation = annotation; + curve.xmin = d.xmin; + curve.xmax = d.xmax; + curve.ymin = d.ymin; + curve.ymax = d.ymax; + curve.axisKey = axisKey; + const cOptions = matsDataCurveOpsUtils.generateSeriesCurveOptions( + curve, + curveIndex, + axisMap, + d, + appParams + ); // generate plot with data, curve annotation, axis labels, etc. + dataset.push(cOptions); + const postQueryFinishMoment = moment(); + dataRequests[`post data retrieval (query) process time - ${label}`] = { + begin: postQueryStartMoment.format(), + finish: postQueryFinishMoment.format(), + duration: `${moment + .duration(postQueryFinishMoment.diff(postQueryStartMoment)) + .asSeconds()} seconds`, + }; + } // end for curves + + if (!dataFoundForAnyCurve) { + // we found no data for any curves so don't bother proceeding + throw new Error("INFO: No valid data for any curves."); + } + + // process the data returned by the query + const curveInfoParams = { + curves, + curvesLength, + idealValues, + utcCycleStarts, + statType, + axisMap, + xmax, + xmin, + }; + const bookkeepingParams = { + dataRequests, + totalProcessingStart, + }; + const result = matsDataProcessUtils.processDataXYCurve( + dataset, + appParams, + curveInfoParams, + plotParams, + bookkeepingParams + ); + plotFunction(result); +}; diff --git a/apps/ensemble/server/dataFunctions/data_dieoff.js b/apps/ensemble/server/dataFunctions/data_dieoff.js new file mode 100644 index 0000000000..9a61398c19 --- /dev/null +++ b/apps/ensemble/server/dataFunctions/data_dieoff.js @@ -0,0 +1,274 @@ +/* + * Copyright (c) 2021 Colorado State University and Regents of the University of Colorado. All rights reserved. + */ + +import { + matsCollections, + matsTypes, + matsDataUtils, + matsDataQueryUtils, + matsDataDiffUtils, + matsDataCurveOpsUtils, + matsDataProcessUtils, +} from "meteor/randyp:mats-common"; +import { moment } from "meteor/momentjs:moment"; + +dataDieOff = function (plotParams, plotFunction) { + // initialize variables common to all curves + const appParams = { + plotType: matsTypes.PlotTypes.dieoff, + matching: plotParams.plotAction === matsTypes.PlotActions.matched, + completeness: plotParams.completeness, + outliers: plotParams.outliers, + hideGaps: plotParams.noGapsCheck, + hasLevels: false, + }; + const dataRequests = {}; // used to store data queries + let dataFoundForCurve = true; + let dataFoundForAnyCurve = false; + const totalProcessingStart = moment(); + let error = ""; + const curves = JSON.parse(JSON.stringify(plotParams.curves)); + const curvesLength = curves.length; + const dataset = []; + const utcCycleStarts = []; + const axisMap = Object.create(null); + let xmax = -1 * Number.MAX_VALUE; + let ymax = -1 * Number.MAX_VALUE; + let xmin = Number.MAX_VALUE; + let ymin = Number.MAX_VALUE; + const idealValues = []; + + for (let curveIndex = 0; curveIndex < curvesLength; curveIndex++) { + // initialize variables specific to each curve + const curve = curves[curveIndex]; + const { diffFrom } = curve; + const { label } = curve; + const model = matsCollections["data-source"].findOne({ name: "data-source" }) + .optionsMap[curve["data-source"]][0]; + var regionStr = curve.region; + const region = Object.keys( + matsCollections.region.findOne({ name: "region" }).valuesMap + ).find( + (key) => + matsCollections.region.findOne({ name: "region" }).valuesMap[key] === regionStr + ); + const source = curve.truth; + let sourceStr = ""; + if (source !== "All") { + sourceStr = `_${source}`; + } + const queryTableClause = `from ${model}_${region}${sourceStr} as m0`; + var thresholdStr = curve.threshold; + const threshold = Object.keys( + matsCollections.threshold.findOne({ name: "threshold" }).valuesMap + ).find( + (key) => + matsCollections.threshold.findOne({ name: "threshold" }).valuesMap[key] === + thresholdStr + ); + const thresholdClause = `and m0.thresh = ${threshold}`; + var validTimes; + let validTimeClause = ""; + var utcCycleStart; + let utcCycleStartClause = ""; + const forecastLengthStr = curve["dieoff-type"]; + const forecastLengthOptionsMap = matsCollections["dieoff-type"].findOne( + { name: "dieoff-type" }, + { optionsMap: 1 } + ).optionsMap; + const forecastLength = forecastLengthOptionsMap[forecastLengthStr][0]; + const forecastLengthClause = ""; + const dateRange = matsDataUtils.getDateRange(curve["curve-dates"]); + const fromSecs = dateRange.fromSeconds; + const toSecs = dateRange.toSeconds; + var dateClause; + if (forecastLength === matsTypes.ForecastTypes.dieoff) { + validTimes = curve["valid-time"] === undefined ? [] : curve["valid-time"]; + if (validTimes.length !== 0 && validTimes !== matsTypes.InputTypes.unused) { + validTimeClause = `and floor((m0.valid_time)%(24*3600)/3600) IN(${validTimes})`; + } + dateClause = `and m0.valid_time >= ${fromSecs} and m0.valid_time <= ${toSecs}`; + } else if (forecastLength === matsTypes.ForecastTypes.utcCycle) { + utcCycleStart = + curve["utc-cycle-start"] === undefined ? [] : curve["utc-cycle-start"]; + if (utcCycleStart.length !== 0 && utcCycleStart !== matsTypes.InputTypes.unused) { + utcCycleStartClause = `and floor(((m0.valid_time) - m0.fcst_len*3600)%(24*3600)/3600) IN(${utcCycleStart})`; // adjust by 1800 seconds to center obs at the top of the hour + } + dateClause = `and m0.valid_time-m0.fcst_len*3600 >= ${fromSecs} and m0.valid_time-m0.fcst_len*3600 <= ${toSecs}`; + } else { + dateClause = `and m0.valid_time-m0.fcst_len*3600 = ${fromSecs}`; + } + const statisticSelect = curve.statistic; + const statisticOptionsMap = matsCollections.statistic.findOne( + { name: "statistic" }, + { optionsMap: 1 } + ).optionsMap; + const statisticClause = + "sum(m0.yy) as hit, sum(m0.yn) as fa, sum(m0.ny) as miss, sum(m0.nn) as cn, group_concat(m0.valid_time, ';', m0.yy, ';', m0.yn, ';', m0.ny, ';', m0.nn order by m0.valid_time) as sub_data, count(m0.yy) as N0"; + // axisKey is used to determine which axis a curve should use. + // This axisKeySet object is used like a set and if a curve has the same + // units (axisKey) it will use the same axis. + // The axis number is assigned to the axisKeySet value, which is the axisKey. + var statType = statisticOptionsMap[statisticSelect][0]; + const axisKey = statisticOptionsMap[statisticSelect][1]; + curves[curveIndex].axisKey = axisKey; // stash the axisKey to use it later for axis options + const idealVal = statisticOptionsMap[statisticSelect][2]; + if (idealVal !== null && idealValues.indexOf(idealVal) === -1) { + idealValues.push(idealVal); + } + + var d; + if (!diffFrom) { + // this is a database driven curve, not a difference curve + // prepare the query from the above parameters + let statement = + "select m0.fcst_len as fcst_lead, " + + "count(distinct m0.valid_time) as N_times, " + + "min(m0.valid_time) as min_secs, " + + "max(m0.valid_time) as max_secs, " + + "{{statisticClause}} " + + "{{queryTableClause}} " + + "where 1=1 " + + "{{dateClause}} " + + "{{thresholdClause}} " + + "{{validTimeClause}} " + + "{{forecastLengthClause}} " + + "{{utcCycleStartClause}} " + + "group by fcst_lead " + + "order by fcst_lead" + + ";"; + + statement = statement.replace("{{statisticClause}}", statisticClause); + statement = statement.replace("{{queryTableClause}}", queryTableClause); + statement = statement.replace("{{thresholdClause}}", thresholdClause); + statement = statement.replace("{{validTimeClause}}", validTimeClause); + statement = statement.replace("{{forecastLengthClause}}", forecastLengthClause); + statement = statement.replace("{{utcCycleStartClause}}", utcCycleStartClause); + statement = statement.replace("{{dateClause}}", dateClause); + dataRequests[label] = statement; + + var queryResult; + const startMoment = moment(); + var finishMoment; + try { + // send the query statement to the query function + queryResult = matsDataQueryUtils.queryDBSpecialtyCurve( + sumPool, + statement, + appParams, + statisticSelect + ); + finishMoment = moment(); + dataRequests[`data retrieval (query) time - ${label}`] = { + begin: startMoment.format(), + finish: finishMoment.format(), + duration: `${moment + .duration(finishMoment.diff(startMoment)) + .asSeconds()} seconds`, + recordCount: queryResult.data.x.length, + }; + // get the data back from the query + d = queryResult.data; + } catch (e) { + // this is an error produced by a bug in the query function, not an error returned by the mysql database + e.message = `Error in queryDB: ${e.message} for statement: ${statement}`; + throw new Error(e.message); + } + if (queryResult.error !== undefined && queryResult.error !== "") { + if (queryResult.error === matsTypes.Messages.NO_DATA_FOUND) { + // this is NOT an error just a no data condition + dataFoundForCurve = false; + } else { + // this is an error returned by the mysql database + error += `Error from verification query:
${queryResult.error}
query:
${statement}
`; + throw new Error(error); + } + } else { + dataFoundForAnyCurve = true; + } + + // set axis limits based on returned data + var postQueryStartMoment = moment(); + if (dataFoundForCurve) { + xmin = xmin < d.xmin ? xmin : d.xmin; + xmax = xmax > d.xmax ? xmax : d.xmax; + ymin = ymin < d.ymin ? ymin : d.ymin; + ymax = ymax > d.ymax ? ymax : d.ymax; + } + } else { + // this is a difference curve + const diffResult = matsDataDiffUtils.getDataForDiffCurve( + dataset, + diffFrom, + appParams, + statType === "ctc", + statType === "scalar" + ); + d = diffResult.dataset; + xmin = xmin < d.xmin ? xmin : d.xmin; + xmax = xmax > d.xmax ? xmax : d.xmax; + ymin = ymin < d.ymin ? ymin : d.ymin; + ymax = ymax > d.ymax ? ymax : d.ymax; + } + + // set curve annotation to be the curve mean -- may be recalculated later + // also pass previously calculated axis stats to curve options + const mean = d.sum / d.x.length; + const annotation = + mean === undefined + ? `${label}- mean = NoData` + : `${label}- mean = ${mean.toPrecision(4)}`; + curve.annotation = annotation; + curve.xmin = d.xmin; + curve.xmax = d.xmax; + curve.ymin = d.ymin; + curve.ymax = d.ymax; + curve.axisKey = axisKey; + const cOptions = matsDataCurveOpsUtils.generateSeriesCurveOptions( + curve, + curveIndex, + axisMap, + d, + appParams + ); // generate plot with data, curve annotation, axis labels, etc. + dataset.push(cOptions); + const postQueryFinishMoment = moment(); + dataRequests[`post data retrieval (query) process time - ${label}`] = { + begin: postQueryStartMoment.format(), + finish: postQueryFinishMoment.format(), + duration: `${moment + .duration(postQueryFinishMoment.diff(postQueryStartMoment)) + .asSeconds()} seconds`, + }; + } // end for curves + + if (!dataFoundForAnyCurve) { + // we found no data for any curves so don't bother proceeding + throw new Error("INFO: No valid data for any curves."); + } + + // process the data returned by the query + const curveInfoParams = { + curves, + curvesLength, + idealValues, + utcCycleStarts, + statType, + axisMap, + xmax, + xmin, + }; + const bookkeepingParams = { + dataRequests, + totalProcessingStart, + }; + const result = matsDataProcessUtils.processDataXYCurve( + dataset, + appParams, + curveInfoParams, + plotParams, + bookkeepingParams + ); + plotFunction(result); +}; diff --git a/apps/ensemble/server/dataFunctions/data_histogram.js b/apps/ensemble/server/dataFunctions/data_histogram.js new file mode 100644 index 0000000000..08e43cd2e6 --- /dev/null +++ b/apps/ensemble/server/dataFunctions/data_histogram.js @@ -0,0 +1,207 @@ +/* + * Copyright (c) 2021 Colorado State University and Regents of the University of Colorado. All rights reserved. + */ + +import { + matsCollections, + matsTypes, + matsDataUtils, + matsDataQueryUtils, + matsDataProcessUtils, +} from "meteor/randyp:mats-common"; +import { moment } from "meteor/momentjs:moment"; + +dataHistogram = function (plotParams, plotFunction) { + // initialize variables common to all curves + const appParams = { + plotType: matsTypes.PlotTypes.histogram, + matching: plotParams.plotAction === matsTypes.PlotActions.matched, + completeness: plotParams.completeness, + outliers: plotParams.outliers, + hideGaps: plotParams.noGapsCheck, + hasLevels: false, + }; + const alreadyMatched = false; + const dataRequests = {}; // used to store data queries + const dataFoundForCurve = []; + let dataFoundForAnyCurve = false; + const totalProcessingStart = moment(); + let error = ""; + const curves = JSON.parse(JSON.stringify(plotParams.curves)); + const curvesLength = curves.length; + const dataset = []; + const allReturnedSubStats = []; + const allReturnedSubSecs = []; + const axisMap = Object.create(null); + + // process user bin customizations + const binParams = matsDataUtils.setHistogramParameters(plotParams); + const { yAxisFormat } = binParams; + const { binNum } = binParams; + + for (let curveIndex = 0; curveIndex < curvesLength; curveIndex++) { + // initialize variables specific to each curve + const curve = curves[curveIndex]; + const { diffFrom } = curve; + dataFoundForCurve[curveIndex] = true; + const { label } = curve; + const model = matsCollections["data-source"].findOne({ name: "data-source" }) + .optionsMap[curve["data-source"]][0]; + var regionStr = curve.region; + const region = Object.keys( + matsCollections.region.findOne({ name: "region" }).valuesMap + ).find( + (key) => + matsCollections.region.findOne({ name: "region" }).valuesMap[key] === regionStr + ); + const source = curve.truth; + let sourceStr = ""; + if (source !== "All") { + sourceStr = `_${source}`; + } + const queryTableClause = `from ${model}_${region}${sourceStr} as m0`; + var thresholdStr = curve.threshold; + const threshold = Object.keys( + matsCollections.threshold.findOne({ name: "threshold" }).valuesMap + ).find( + (key) => + matsCollections.threshold.findOne({ name: "threshold" }).valuesMap[key] === + thresholdStr + ); + const thresholdClause = `and m0.thresh = ${threshold}`; + let validTimeClause = ""; + const validTimes = curve["valid-time"] === undefined ? [] : curve["valid-time"]; + if (validTimes.length !== 0 && validTimes !== matsTypes.InputTypes.unused) { + validTimeClause = `and floor((m0.valid_time)%(24*3600)/3600) IN(${validTimes})`; + } + const forecastLength = curve["forecast-length"]; + const forecastLengthClause = `and m0.fcst_len = ${forecastLength}`; + const dateRange = matsDataUtils.getDateRange(curve["curve-dates"]); + const fromSecs = dateRange.fromSeconds; + const toSecs = dateRange.toSeconds; + const dateClause = `and m0.valid_time >= ${fromSecs} and m0.valid_time <= ${toSecs}`; + const statisticSelect = curve.statistic; + const statisticOptionsMap = matsCollections.statistic.findOne( + { name: "statistic" }, + { optionsMap: 1 } + ).optionsMap; + const statisticClause = + "sum(m0.yy) as hit, sum(m0.yn) as fa, sum(m0.ny) as miss, sum(m0.nn) as cn, group_concat(m0.valid_time, ';', m0.yy, ';', m0.yn, ';', m0.ny, ';', m0.nn order by m0.valid_time) as sub_data, count(m0.yy) as N0"; + // axisKey is used to determine which axis a curve should use. + // This axisKeySet object is used like a set and if a curve has the same + // units (axisKey) it will use the same axis. + // The axis number is assigned to the axisKeySet value, which is the axisKey. + var statType = statisticOptionsMap[statisticSelect][0]; + var varUnits = statisticOptionsMap[statisticSelect][1]; + let axisKey = yAxisFormat; + if (yAxisFormat === "Relative frequency") { + axisKey += " (x100)"; + } + curves[curveIndex].axisKey = axisKey; // stash the axisKey to use it later for axis options + curves[curveIndex].binNum = binNum; // stash the binNum to use it later for bar chart options + + var d; + if (!diffFrom) { + // this is a database driven curve, not a difference curve + // prepare the query from the above parameters + let statement = + "select m0.valid_time as avtime, " + + "count(distinct m0.valid_time) as N_times, " + + "min(m0.valid_time) as min_secs, " + + "max(m0.valid_time) as max_secs, " + + "{{statisticClause}} " + + "{{queryTableClause}} " + + "where 1=1 " + + "{{dateClause}} " + + "{{thresholdClause}} " + + "{{validTimeClause}} " + + "{{forecastLengthClause}} " + + "group by avtime " + + "order by avtime" + + ";"; + + statement = statement.replace("{{statisticClause}}", statisticClause); + statement = statement.replace("{{queryTableClause}}", queryTableClause); + statement = statement.replace("{{thresholdClause}}", thresholdClause); + statement = statement.replace("{{validTimeClause}}", validTimeClause); + statement = statement.replace("{{forecastLengthClause}}", forecastLengthClause); + statement = statement.replace("{{dateClause}}", dateClause); + dataRequests[label] = statement; + + var queryResult; + const startMoment = moment(); + var finishMoment; + try { + // send the query statement to the query function + queryResult = matsDataQueryUtils.queryDBSpecialtyCurve( + sumPool, + statement, + appParams, + statisticSelect + ); + finishMoment = moment(); + dataRequests[`data retrieval (query) time - ${label}`] = { + begin: startMoment.format(), + finish: finishMoment.format(), + duration: `${moment + .duration(finishMoment.diff(startMoment)) + .asSeconds()} seconds`, + recordCount: queryResult.data.x.length, + }; + // get the data back from the query + d = queryResult.data; + allReturnedSubStats.push(d.subVals); // save returned data so that we can calculate histogram stats once all the queries are done + allReturnedSubSecs.push(d.subSecs); + } catch (e) { + // this is an error produced by a bug in the query function, not an error returned by the mysql database + e.message = `Error in queryDB: ${e.message} for statement: ${statement}`; + throw new Error(e.message); + } + if (queryResult.error !== undefined && queryResult.error !== "") { + if (queryResult.error === matsTypes.Messages.NO_DATA_FOUND) { + // this is NOT an error just a no data condition + dataFoundForCurve[curveIndex] = false; + } else { + // this is an error returned by the mysql database + error += `Error from verification query:
${queryResult.error}
query:
${statement}
`; + throw new Error(error); + } + } else { + dataFoundForAnyCurve = true; + } + } + } + + if (!dataFoundForAnyCurve) { + // we found no data for any curves so don't bother proceeding + throw new Error("INFO: No valid data for any curves."); + } + + // process the data returned by the query + const curveInfoParams = { + curves, + curvesLength, + dataFoundForCurve, + statType, + axisMap, + yAxisFormat, + varUnits, + }; + const bookkeepingParams = { + alreadyMatched, + dataRequests, + totalProcessingStart, + }; + const result = matsDataProcessUtils.processDataHistogram( + allReturnedSubStats, + allReturnedSubSecs, + [], + dataset, + appParams, + curveInfoParams, + plotParams, + binParams, + bookkeepingParams + ); + plotFunction(result); +}; diff --git a/apps/ensemble/server/dataFunctions/data_perfDiagram.js b/apps/ensemble/server/dataFunctions/data_perfDiagram.js new file mode 100644 index 0000000000..12c3fb5d20 --- /dev/null +++ b/apps/ensemble/server/dataFunctions/data_perfDiagram.js @@ -0,0 +1,266 @@ +/* + * Copyright (c) 2021 Colorado State University and Regents of the University of Colorado. All rights reserved. + */ + +import { + matsCollections, + matsTypes, + matsDataUtils, + matsDataQueryUtils, + matsDataCurveOpsUtils, + matsDataProcessUtils, +} from "meteor/randyp:mats-common"; +import { moment } from "meteor/momentjs:moment"; + +dataPerformanceDiagram = function (plotParams, plotFunction) { + // initialize variables common to all curves + const appParams = { + plotType: matsTypes.PlotTypes.performanceDiagram, + matching: plotParams.plotAction === matsTypes.PlotActions.matched, + completeness: plotParams.completeness, + outliers: plotParams.outliers, + hideGaps: plotParams.noGapsCheck, + hasLevels: false, + }; + const dataRequests = {}; // used to store data queries + let dataFoundForCurve = true; + let dataFoundForAnyCurve = false; + const totalProcessingStart = moment(); + let error = ""; + const curves = JSON.parse(JSON.stringify(plotParams.curves)); + const curvesLength = curves.length; + const dataset = []; + const axisMap = Object.create(null); + let xmax = -1 * Number.MAX_VALUE; + let ymax = -1 * Number.MAX_VALUE; + let xmin = Number.MAX_VALUE; + let ymin = Number.MAX_VALUE; + + for (let curveIndex = 0; curveIndex < curvesLength; curveIndex++) { + // initialize variables specific to each curve + const curve = curves[curveIndex]; + const { diffFrom } = curve; + const { label } = curve; + const binParam = curve["bin-parameter"]; + const binClause = matsCollections["bin-parameter"].findOne({ + name: "bin-parameter", + }).optionsMap[binParam]; + const model = matsCollections["data-source"].findOne({ name: "data-source" }) + .optionsMap[curve["data-source"]][0]; + var regionStr = curve.region; + const region = Object.keys( + matsCollections.region.findOne({ name: "region" }).valuesMap + ).find( + (key) => + matsCollections.region.findOne({ name: "region" }).valuesMap[key] === regionStr + ); + const source = curve.truth; + let sourceStr = ""; + if (source !== "All") { + sourceStr = `_${source}`; + } + const queryTableClause = `from ${model}_${region}${sourceStr} as m0`; + let thresholdClause = ""; + let validTimeClause = ""; + let forecastLengthClause = ""; + const dateRange = matsDataUtils.getDateRange(curve["curve-dates"]); + const fromSecs = dateRange.fromSeconds; + const toSecs = dateRange.toSeconds; + let dateString = ""; + let dateClause = ""; + if (binParam !== "Threshold") { + var thresholdStr = curve.threshold; + if (thresholdStr === undefined) { + throw new Error( + `INFO: ${label}'s threshold is undefined. Please assign it a value.` + ); + } + const threshold = Object.keys( + matsCollections.threshold.findOne({ name: "threshold" }).valuesMap + ).find( + (key) => + matsCollections.threshold.findOne({ name: "threshold" }).valuesMap[key] === + thresholdStr + ); + thresholdClause = `and m0.thresh = ${threshold}`; + } + if (binParam !== "Valid UTC hour") { + const validTimes = curve["valid-time"] === undefined ? [] : curve["valid-time"]; + if (validTimes.length > 0 && validTimes !== matsTypes.InputTypes.unused) { + validTimeClause = `and m0.valid_time%(24*3600)/3600 IN(${validTimes})`; + } + } + if (binParam !== "Fcst lead time") { + const forecastLength = curve["forecast-length"]; + if (forecastLength === undefined) { + throw new Error( + `INFO: ${label}'s forecast lead time is undefined. Please assign it a value.` + ); + } + forecastLengthClause = `and m0.fcst_len = ${forecastLength}`; + } + if (binParam === "Init Date") { + dateString = "m0.valid_time-m0.fcst_len*3600"; + } else { + dateString = "m0.valid_time"; + } + dateClause = `and ${dateString} >= ${fromSecs} and ${dateString} <= ${toSecs}`; + const statisticSelect = "PerformanceDiagram"; + var statType = "ctc"; + // axisKey is used to determine which axis a curve should use. + // This axisKeySet object is used like a set and if a curve has the same + // variable + statistic (axisKey) it will use the same axis. + // The axis number is assigned to the axisKeySet value, which is the axisKey. + curves[curveIndex].axisKey = statisticSelect; // stash the axisKey to use it later for axis options + + var d; + if (!diffFrom) { + // this is a database driven curve, not a difference curve + // prepare the query from the above parameters + let statement = + "{{binClause}} " + + "count(distinct {{dateString}}) as N_times, " + + "min({{dateString}}) as min_secs, " + + "max({{dateString}}) as max_secs, " + + "((sum(m0.yy)+0.00)/sum(m0.yy+m0.ny)) as pod, ((sum(m0.yn)+0.00)/sum(m0.yn+m0.yy)) as far, " + + "sum(m0.yy+m0.ny) as oy_all, sum(m0.yn+m0.nn) as on_all, group_concat(m0.valid_time, ';', m0.yy, ';', " + + "m0.yn, ';', m0.ny, ';', m0.nn order by m0.valid_time) as sub_data, count(m0.yy) as N0 " + + "{{queryTableClause}} " + + "where 1=1 " + + "{{dateClause}} " + + "{{thresholdClause}} " + + "{{validTimeClause}} " + + "{{forecastLengthClause}} " + + "group by binVal " + + "order by binVal" + + ";"; + + statement = statement.replace("{{binClause}}", binClause); + statement = statement.replace("{{queryTableClause}}", queryTableClause); + statement = statement.replace("{{thresholdClause}}", thresholdClause); + statement = statement.replace("{{validTimeClause}}", validTimeClause); + statement = statement.replace("{{forecastLengthClause}}", forecastLengthClause); + statement = statement.replace("{{dateClause}}", dateClause); + statement = statement.split("{{dateString}}").join(dateString); + dataRequests[label] = statement; + + var queryResult; + const startMoment = moment(); + var finishMoment; + try { + // send the query statement to the query function + queryResult = matsDataQueryUtils.queryDBPerformanceDiagram( + sumPool, + statement, + appParams + ); + finishMoment = moment(); + dataRequests[`data retrieval (query) time - ${label}`] = { + begin: startMoment.format(), + finish: finishMoment.format(), + duration: `${moment + .duration(finishMoment.diff(startMoment)) + .asSeconds()} seconds`, + recordCount: queryResult.data.x.length, + }; + // get the data back from the query + d = queryResult.data; + } catch (e) { + // this is an error produced by a bug in the query function, not an error returned by the mysql database + e.message = `Error in queryDB: ${e.message} for statement: ${statement}`; + throw new Error(e.message); + } + if (queryResult.error !== undefined && queryResult.error !== "") { + if (queryResult.error === matsTypes.Messages.NO_DATA_FOUND) { + // this is NOT an error just a no data condition + dataFoundForCurve = false; + } else { + // this is an error returned by the mysql database + error += `Error from verification query:
${queryResult.error}
query:
${statement}
`; + if (error.includes("ER_NO_SUCH_TABLE")) { + throw new Error( + `INFO: The region/scale combination [${regionStr} and ${scaleStr}] is not supported by the database for the model [${model}]. ` + + `Choose a different scale to continue using this region.` + ); + } else { + throw new Error(error); + } + } + } else { + dataFoundForAnyCurve = true; + } + + // set axis limits based on returned data + var postQueryStartMoment = moment(); + if (dataFoundForCurve) { + xmin = xmin < d.xmin ? xmin : d.xmin; + xmax = xmax > d.xmax ? xmax : d.xmax; + ymin = ymin < d.ymin ? ymin : d.ymin; + ymax = ymax > d.ymax ? ymax : d.ymax; + } + } else { + // this is a difference curve -- not supported for ROC plots + throw new Error( + "INFO: Difference curves are not supported for performance diagrams, as they do not feature consistent x or y values across all curves." + ); + } + + // set curve annotation to be the curve mean -- may be recalculated later + // also pass previously calculated axis stats to curve options + const mean = d.sum / d.x.length; + const annotation = + mean === undefined + ? `${label}- mean = NoData` + : `${label}- mean = ${mean.toPrecision(4)}`; + curve.annotation = annotation; + curve.xmin = d.xmin; + curve.xmax = d.xmax; + curve.ymin = d.ymin; + curve.ymax = d.ymax; + curve.axisKey = statisticSelect; + curve.binParam = binParam; + const cOptions = matsDataCurveOpsUtils.generateSeriesCurveOptions( + curve, + curveIndex, + axisMap, + d, + appParams + ); // generate plot with data, curve annotation, axis labels, etc. + dataset.push(cOptions); + const postQueryFinishMoment = moment(); + dataRequests[`post data retrieval (query) process time - ${label}`] = { + begin: postQueryStartMoment.format(), + finish: postQueryFinishMoment.format(), + duration: `${moment + .duration(postQueryFinishMoment.diff(postQueryStartMoment)) + .asSeconds()} seconds`, + }; + } // end for curves + + if (!dataFoundForAnyCurve) { + // we found no data for any curves so don't bother proceeding + throw new Error("INFO: No valid data for any curves."); + } + + // process the data returned by the query + const curveInfoParams = { + curves, + curvesLength, + statType, + axisMap, + xmax, + xmin, + }; + const bookkeepingParams = { + dataRequests, + totalProcessingStart, + }; + const result = matsDataProcessUtils.processDataPerformanceDiagram( + dataset, + appParams, + curveInfoParams, + plotParams, + bookkeepingParams + ); + plotFunction(result); +}; diff --git a/apps/ensemble/server/dataFunctions/data_series.js b/apps/ensemble/server/dataFunctions/data_series.js new file mode 100644 index 0000000000..7a929ba26b --- /dev/null +++ b/apps/ensemble/server/dataFunctions/data_series.js @@ -0,0 +1,271 @@ +/* + * Copyright (c) 2021 Colorado State University and Regents of the University of Colorado. All rights reserved. + */ + +import { + matsCollections, + matsTypes, + matsDataUtils, + matsDataQueryUtils, + matsDataDiffUtils, + matsDataCurveOpsUtils, + matsDataProcessUtils, +} from "meteor/randyp:mats-common"; +import { moment } from "meteor/momentjs:moment"; + +dataSeries = function (plotParams, plotFunction) { + // initialize variables common to all curves + const appParams = { + plotType: matsTypes.PlotTypes.timeSeries, + matching: plotParams.plotAction === matsTypes.PlotActions.matched, + completeness: plotParams.completeness, + outliers: plotParams.outliers, + hideGaps: plotParams.noGapsCheck, + hasLevels: false, + }; + const dataRequests = {}; // used to store data queries + let dataFoundForCurve = true; + let dataFoundForAnyCurve = false; + const totalProcessingStart = moment(); + const dateRange = matsDataUtils.getDateRange(plotParams.dates); + const fromSecs = dateRange.fromSeconds; + const toSecs = dateRange.toSeconds; + let error = ""; + const curves = JSON.parse(JSON.stringify(plotParams.curves)); + const curvesLength = curves.length; + const dataset = []; + const utcCycleStarts = []; + const axisMap = Object.create(null); + let xmax = -1 * Number.MAX_VALUE; + let ymax = -1 * Number.MAX_VALUE; + let xmin = Number.MAX_VALUE; + let ymin = Number.MAX_VALUE; + const idealValues = []; + + for (let curveIndex = 0; curveIndex < curvesLength; curveIndex++) { + // initialize variables specific to each curve + const curve = curves[curveIndex]; + const { diffFrom } = curve; + const { label } = curve; + const model = matsCollections["data-source"].findOne({ name: "data-source" }) + .optionsMap[curve["data-source"]][0]; + var regionStr = curve.region; + const region = Object.keys( + matsCollections.region.findOne({ name: "region" }).valuesMap + ).find( + (key) => + matsCollections.region.findOne({ name: "region" }).valuesMap[key] === regionStr + ); + const source = curve.truth; + let sourceStr = ""; + if (source !== "All") { + sourceStr = `_${source}`; + } + const queryTableClause = `from ${model}_${region}${sourceStr} as m0`; + var thresholdStr = curve.threshold; + const threshold = Object.keys( + matsCollections.threshold.findOne({ name: "threshold" }).valuesMap + ).find( + (key) => + matsCollections.threshold.findOne({ name: "threshold" }).valuesMap[key] === + thresholdStr + ); + const thresholdClause = `and m0.thresh = ${threshold}`; + let validTimeClause = ""; + const validTimes = curve["valid-time"] === undefined ? [] : curve["valid-time"]; + if (validTimes.length !== 0 && validTimes !== matsTypes.InputTypes.unused) { + validTimeClause = `and floor((m0.valid_time)%(24*3600)/3600) IN(${validTimes})`; + } + let forecastLength = curve["forecast-length"]; + const forecastLengthClause = `and m0.fcst_len = ${forecastLength}`; + const dateClause = `and m0.valid_time >= ${fromSecs} and m0.valid_time <= ${toSecs}`; + const averageStr = curve.average; + const averageOptionsMap = matsCollections.average.findOne( + { name: "average" }, + { optionsMap: 1 } + ).optionsMap; + const average = averageOptionsMap[averageStr][0]; + const statisticSelect = curve.statistic; + const statisticOptionsMap = matsCollections.statistic.findOne( + { name: "statistic" }, + { optionsMap: 1 } + ).optionsMap; + const statisticClause = + "sum(m0.yy) as hit, sum(m0.yn) as fa, sum(m0.ny) as miss, sum(m0.nn) as cn, group_concat(m0.valid_time, ';', m0.yy, ';', m0.yn, ';', m0.ny, ';', m0.nn order by m0.valid_time) as sub_data, count(m0.yy) as N0"; + // axisKey is used to determine which axis a curve should use. + // This axisKeySet object is used like a set and if a curve has the same + // units (axisKey) it will use the same axis. + // The axis number is assigned to the axisKeySet value, which is the axisKey. + var statType = statisticOptionsMap[statisticSelect][0]; + const axisKey = statisticOptionsMap[statisticSelect][1]; + curves[curveIndex].axisKey = axisKey; // stash the axisKey to use it later for axis options + const idealVal = statisticOptionsMap[statisticSelect][2]; + if (idealVal !== null && idealValues.indexOf(idealVal) === -1) { + idealValues.push(idealVal); + } + + var d; + if (!diffFrom) { + // this is a database driven curve, not a difference curve + // prepare the query from the above parameters + let statement = + "select {{average}} as avtime, " + + "count(distinct m0.valid_time) as N_times, " + + "min(m0.valid_time) as min_secs, " + + "max(m0.valid_time) as max_secs, " + + "{{statisticClause}} " + + "{{queryTableClause}} " + + "where 1=1 " + + "{{dateClause}} " + + "{{thresholdClause}} " + + "{{validTimeClause}} " + + "{{forecastLengthClause}} " + + "group by avtime " + + "order by avtime" + + ";"; + + statement = statement.replace("{{average}}", average); + statement = statement.replace("{{statisticClause}}", statisticClause); + statement = statement.replace("{{queryTableClause}}", queryTableClause); + statement = statement.replace("{{thresholdClause}}", thresholdClause); + statement = statement.replace("{{validTimeClause}}", validTimeClause); + statement = statement.replace("{{forecastLengthClause}}", forecastLengthClause); + statement = statement.replace("{{dateClause}}", dateClause); + dataRequests[label] = statement; + + // math is done on forecastLength later on -- set all analyses to 0 + if (forecastLength === "-99") { + forecastLength = "0"; + } + + var queryResult; + const startMoment = moment(); + var finishMoment; + try { + // send the query statement to the query function + queryResult = matsDataQueryUtils.queryDBTimeSeries( + sumPool, + statement, + model, + forecastLength, + fromSecs, + toSecs, + averageStr, + statisticSelect, + validTimes, + appParams, + false + ); + finishMoment = moment(); + dataRequests[`data retrieval (query) time - ${label}`] = { + begin: startMoment.format(), + finish: finishMoment.format(), + duration: `${moment + .duration(finishMoment.diff(startMoment)) + .asSeconds()} seconds`, + recordCount: queryResult.data.x.length, + }; + // get the data back from the query + d = queryResult.data; + } catch (e) { + // this is an error produced by a bug in the query function, not an error returned by the mysql database + e.message = `Error in queryDB: ${e.message} for statement: ${statement}`; + throw new Error(e.message); + } + if (queryResult.error !== undefined && queryResult.error !== "") { + if (queryResult.error === matsTypes.Messages.NO_DATA_FOUND) { + // this is NOT an error just a no data condition + dataFoundForCurve = false; + } else { + // this is an error returned by the mysql database + error += `Error from verification query:
${queryResult.error}
query:
${statement}
`; + throw new Error(error); + } + } else { + dataFoundForAnyCurve = true; + } + + // set axis limits based on returned data + var postQueryStartMoment = moment(); + if (dataFoundForCurve) { + xmin = xmin < d.xmin ? xmin : d.xmin; + xmax = xmax > d.xmax ? xmax : d.xmax; + ymin = ymin < d.ymin ? ymin : d.ymin; + ymax = ymax > d.ymax ? ymax : d.ymax; + } + } else { + // this is a difference curve + const diffResult = matsDataDiffUtils.getDataForDiffCurve( + dataset, + diffFrom, + appParams, + statType === "ctc", + statType === "scalar" + ); + d = diffResult.dataset; + xmin = xmin < d.xmin ? xmin : d.xmin; + xmax = xmax > d.xmax ? xmax : d.xmax; + ymin = ymin < d.ymin ? ymin : d.ymin; + ymax = ymax > d.ymax ? ymax : d.ymax; + } + + // set curve annotation to be the curve mean -- may be recalculated later + // also pass previously calculated axis stats to curve options + const mean = d.sum / d.x.length; + const annotation = + mean === undefined + ? `${label}- mean = NoData` + : `${label}- mean = ${mean.toPrecision(4)}`; + curve.annotation = annotation; + curve.xmin = d.xmin; + curve.xmax = d.xmax; + curve.ymin = d.ymin; + curve.ymax = d.ymax; + curve.axisKey = axisKey; + const cOptions = matsDataCurveOpsUtils.generateSeriesCurveOptions( + curve, + curveIndex, + axisMap, + d, + appParams + ); // generate plot with data, curve annotation, axis labels, etc. + dataset.push(cOptions); + const postQueryFinishMoment = moment(); + dataRequests[`post data retrieval (query) process time - ${label}`] = { + begin: postQueryStartMoment.format(), + finish: postQueryFinishMoment.format(), + duration: `${moment + .duration(postQueryFinishMoment.diff(postQueryStartMoment)) + .asSeconds()} seconds`, + }; + } // end for curves + + if (!dataFoundForAnyCurve) { + // we found no data for any curves so don't bother proceeding + throw new Error("INFO: No valid data for any curves."); + } + + // process the data returned by the query + const curveInfoParams = { + curves, + curvesLength, + idealValues, + utcCycleStarts, + statType, + axisMap, + xmax, + xmin, + }; + const bookkeepingParams = { + dataRequests, + totalProcessingStart, + }; + const result = matsDataProcessUtils.processDataXYCurve( + dataset, + appParams, + curveInfoParams, + plotParams, + bookkeepingParams + ); + plotFunction(result); +}; diff --git a/apps/ensemble/server/dataFunctions/data_threshold.js b/apps/ensemble/server/dataFunctions/data_threshold.js new file mode 100644 index 0000000000..1e8b3b36da --- /dev/null +++ b/apps/ensemble/server/dataFunctions/data_threshold.js @@ -0,0 +1,244 @@ +/* + * Copyright (c) 2021 Colorado State University and Regents of the University of Colorado. All rights reserved. + */ + +import { + matsCollections, + matsTypes, + matsDataUtils, + matsDataQueryUtils, + matsDataDiffUtils, + matsDataCurveOpsUtils, + matsDataProcessUtils, +} from "meteor/randyp:mats-common"; +import { moment } from "meteor/momentjs:moment"; + +dataThreshold = function (plotParams, plotFunction) { + // initialize variables common to all curves + const appParams = { + plotType: matsTypes.PlotTypes.threshold, + matching: plotParams.plotAction === matsTypes.PlotActions.matched, + completeness: plotParams.completeness, + outliers: plotParams.outliers, + hideGaps: plotParams.noGapsCheck, + hasLevels: false, + }; + const dataRequests = {}; // used to store data queries + let dataFoundForCurve = true; + let dataFoundForAnyCurve = false; + const totalProcessingStart = moment(); + let error = ""; + const curves = JSON.parse(JSON.stringify(plotParams.curves)); + const curvesLength = curves.length; + const dataset = []; + const utcCycleStarts = []; + const axisMap = Object.create(null); + let xmax = -1 * Number.MAX_VALUE; + let ymax = -1 * Number.MAX_VALUE; + let xmin = Number.MAX_VALUE; + let ymin = Number.MAX_VALUE; + const idealValues = []; + + for (let curveIndex = 0; curveIndex < curvesLength; curveIndex++) { + // initialize variables specific to each curve + const curve = curves[curveIndex]; + const { diffFrom } = curve; + const { label } = curve; + const model = matsCollections["data-source"].findOne({ name: "data-source" }) + .optionsMap[curve["data-source"]][0]; + var regionStr = curve.region; + const region = Object.keys( + matsCollections.region.findOne({ name: "region" }).valuesMap + ).find( + (key) => + matsCollections.region.findOne({ name: "region" }).valuesMap[key] === regionStr + ); + const source = curve.truth; + let sourceStr = ""; + if (source !== "All") { + sourceStr = `_${source}`; + } + const queryTableClause = `from ${model}_${region}${sourceStr} as m0`; + const thresholdClause = ""; + let validTimeClause = ""; + const validTimes = curve["valid-time"] === undefined ? [] : curve["valid-time"]; + if (validTimes.length !== 0 && validTimes !== matsTypes.InputTypes.unused) { + validTimeClause = `and floor((m0.valid_time)%(24*3600)/3600) IN(${validTimes})`; + } + const forecastLength = curve["forecast-length"]; + const forecastLengthClause = `and m0.fcst_len = ${forecastLength}`; + const dateRange = matsDataUtils.getDateRange(curve["curve-dates"]); + const fromSecs = dateRange.fromSeconds; + const toSecs = dateRange.toSeconds; + const dateClause = `and m0.valid_time >= ${fromSecs} and m0.valid_time <= ${toSecs}`; + const statisticSelect = curve.statistic; + const statisticOptionsMap = matsCollections.statistic.findOne( + { name: "statistic" }, + { optionsMap: 1 } + ).optionsMap; + const statisticClause = + "sum(m0.yy) as hit, sum(m0.yn) as fa, sum(m0.ny) as miss, sum(m0.nn) as cn, group_concat(m0.valid_time, ';', m0.yy, ';', m0.yn, ';', m0.ny, ';', m0.nn order by m0.valid_time) as sub_data, count(m0.yy) as N0"; + // axisKey is used to determine which axis a curve should use. + // This axisKeySet object is used like a set and if a curve has the same + // units (axisKey) it will use the same axis. + // The axis number is assigned to the axisKeySet value, which is the axisKey. + var statType = statisticOptionsMap[statisticSelect][0]; + const axisKey = statisticOptionsMap[statisticSelect][1]; + curves[curveIndex].axisKey = axisKey; // stash the axisKey to use it later for axis options + const idealVal = statisticOptionsMap[statisticSelect][2]; + if (idealVal !== null && idealValues.indexOf(idealVal) === -1) { + idealValues.push(idealVal); + } + + var d; + if (!diffFrom) { + // this is a database driven curve, not a difference curve + // prepare the query from the above parameters + let statement = + "select m0.thresh/100 as thresh, " + // produces thresholds in inches + "count(distinct m0.valid_time) as N_times, " + + "min(m0.valid_time) as min_secs, " + + "max(m0.valid_time) as max_secs, " + + "{{statisticClause}} " + + "{{queryTableClause}} " + + "where 1=1 " + + "{{dateClause}} " + + "{{thresholdClause}} " + + "{{validTimeClause}} " + + "{{forecastLengthClause}} " + + "group by thresh " + + "order by thresh" + + ";"; + + statement = statement.replace("{{statisticClause}}", statisticClause); + statement = statement.replace("{{queryTableClause}}", queryTableClause); + statement = statement.replace("{{thresholdClause}}", thresholdClause); + statement = statement.replace("{{validTimeClause}}", validTimeClause); + statement = statement.replace("{{forecastLengthClause}}", forecastLengthClause); + statement = statement.replace("{{dateClause}}", dateClause); + dataRequests[label] = statement; + + var queryResult; + const startMoment = moment(); + var finishMoment; + try { + // send the query statement to the query function + queryResult = matsDataQueryUtils.queryDBSpecialtyCurve( + sumPool, + statement, + appParams, + statisticSelect + ); + finishMoment = moment(); + dataRequests[`data retrieval (query) time - ${label}`] = { + begin: startMoment.format(), + finish: finishMoment.format(), + duration: `${moment + .duration(finishMoment.diff(startMoment)) + .asSeconds()} seconds`, + recordCount: queryResult.data.x.length, + }; + // get the data back from the query + d = queryResult.data; + } catch (e) { + // this is an error produced by a bug in the query function, not an error returned by the mysql database + e.message = `Error in queryDB: ${e.message} for statement: ${statement}`; + throw new Error(e.message); + } + if (queryResult.error !== undefined && queryResult.error !== "") { + if (queryResult.error === matsTypes.Messages.NO_DATA_FOUND) { + // this is NOT an error just a no data condition + dataFoundForCurve = false; + } else { + // this is an error returned by the mysql database + error += `Error from verification query:
${queryResult.error}
query:
${statement}
`; + throw new Error(error); + } + } else { + dataFoundForAnyCurve = true; + } + + // set axis limits based on returned data + var postQueryStartMoment = moment(); + if (dataFoundForCurve) { + xmin = xmin < d.xmin ? xmin : d.xmin; + xmax = xmax > d.xmax ? xmax : d.xmax; + ymin = ymin < d.ymin ? ymin : d.ymin; + ymax = ymax > d.ymax ? ymax : d.ymax; + } + } else { + // this is a difference curve + const diffResult = matsDataDiffUtils.getDataForDiffCurve( + dataset, + diffFrom, + appParams, + statType === "ctc", + statType === "scalar" + ); + d = diffResult.dataset; + xmin = xmin < d.xmin ? xmin : d.xmin; + xmax = xmax > d.xmax ? xmax : d.xmax; + ymin = ymin < d.ymin ? ymin : d.ymin; + ymax = ymax > d.ymax ? ymax : d.ymax; + } + + // set curve annotation to be the curve mean -- may be recalculated later + // also pass previously calculated axis stats to curve options + const mean = d.sum / d.x.length; + const annotation = + mean === undefined + ? `${label}- mean = NoData` + : `${label}- mean = ${mean.toPrecision(4)}`; + curve.annotation = annotation; + curve.xmin = d.xmin; + curve.xmax = d.xmax; + curve.ymin = d.ymin; + curve.ymax = d.ymax; + curve.axisKey = axisKey; + const cOptions = matsDataCurveOpsUtils.generateSeriesCurveOptions( + curve, + curveIndex, + axisMap, + d, + appParams + ); // generate plot with data, curve annotation, axis labels, etc. + dataset.push(cOptions); + const postQueryFinishMoment = moment(); + dataRequests[`post data retrieval (query) process time - ${label}`] = { + begin: postQueryStartMoment.format(), + finish: postQueryFinishMoment.format(), + duration: `${moment + .duration(postQueryFinishMoment.diff(postQueryStartMoment)) + .asSeconds()} seconds`, + }; + } // end for curves + + if (!dataFoundForAnyCurve) { + // we found no data for any curves so don't bother proceeding + throw new Error("INFO: No valid data for any curves."); + } + + // process the data returned by the query + const curveInfoParams = { + curves, + curvesLength, + idealValues, + utcCycleStarts, + statType, + axisMap, + xmax, + xmin, + }; + const bookkeepingParams = { + dataRequests, + totalProcessingStart, + }; + const result = matsDataProcessUtils.processDataXYCurve( + dataset, + appParams, + curveInfoParams, + plotParams, + bookkeepingParams + ); + plotFunction(result); +}; diff --git a/apps/ensemble/server/dataFunctions/data_validtime.js b/apps/ensemble/server/dataFunctions/data_validtime.js new file mode 100644 index 0000000000..6df0ed4397 --- /dev/null +++ b/apps/ensemble/server/dataFunctions/data_validtime.js @@ -0,0 +1,245 @@ +/* + * Copyright (c) 2021 Colorado State University and Regents of the University of Colorado. All rights reserved. + */ + +import { + matsCollections, + matsTypes, + matsDataUtils, + matsDataQueryUtils, + matsDataDiffUtils, + matsDataCurveOpsUtils, + matsDataProcessUtils, +} from "meteor/randyp:mats-common"; +import { moment } from "meteor/momentjs:moment"; + +dataValidTime = function (plotParams, plotFunction) { + // initialize variables common to all curves + const appParams = { + plotType: matsTypes.PlotTypes.validtime, + matching: plotParams.plotAction === matsTypes.PlotActions.matched, + completeness: plotParams.completeness, + outliers: plotParams.outliers, + hideGaps: plotParams.noGapsCheck, + hasLevels: false, + }; + const dataRequests = {}; // used to store data queries + let dataFoundForCurve = true; + let dataFoundForAnyCurve = false; + const totalProcessingStart = moment(); + let error = ""; + const curves = JSON.parse(JSON.stringify(plotParams.curves)); + const curvesLength = curves.length; + const dataset = []; + const utcCycleStarts = []; + const axisMap = Object.create(null); + let xmax = -1 * Number.MAX_VALUE; + let ymax = -1 * Number.MAX_VALUE; + let xmin = Number.MAX_VALUE; + let ymin = Number.MAX_VALUE; + const idealValues = []; + + for (let curveIndex = 0; curveIndex < curvesLength; curveIndex++) { + // initialize variables specific to each curve + const curve = curves[curveIndex]; + const { diffFrom } = curve; + const { label } = curve; + const model = matsCollections["data-source"].findOne({ name: "data-source" }) + .optionsMap[curve["data-source"]][0]; + var regionStr = curve.region; + const region = Object.keys( + matsCollections.region.findOne({ name: "region" }).valuesMap + ).find( + (key) => + matsCollections.region.findOne({ name: "region" }).valuesMap[key] === regionStr + ); + const source = curve.truth; + let sourceStr = ""; + if (source !== "All") { + sourceStr = `_${source}`; + } + const queryTableClause = `from ${model}_${region}${sourceStr} as m0`; + var thresholdStr = curve.threshold; + const threshold = Object.keys( + matsCollections.threshold.findOne({ name: "threshold" }).valuesMap + ).find( + (key) => + matsCollections.threshold.findOne({ name: "threshold" }).valuesMap[key] === + thresholdStr + ); + const thresholdClause = `and m0.thresh = ${threshold}`; + const forecastLength = curve["forecast-length"]; + const forecastLengthClause = `and m0.fcst_len = ${forecastLength}`; + const dateRange = matsDataUtils.getDateRange(curve["curve-dates"]); + const fromSecs = dateRange.fromSeconds; + const toSecs = dateRange.toSeconds; + const dateClause = `and m0.valid_time >= ${fromSecs} and m0.valid_time <= ${toSecs}`; + const statisticSelect = curve.statistic; + const statisticOptionsMap = matsCollections.statistic.findOne( + { name: "statistic" }, + { optionsMap: 1 } + ).optionsMap; + const statisticClause = + "sum(m0.yy) as hit, sum(m0.yn) as fa, sum(m0.ny) as miss, sum(m0.nn) as cn, group_concat(m0.valid_time, ';', m0.yy, ';', m0.yn, ';', m0.ny, ';', m0.nn order by m0.valid_time) as sub_data, count(m0.yy) as N0"; + // axisKey is used to determine which axis a curve should use. + // This axisKeySet object is used like a set and if a curve has the same + // units (axisKey) it will use the same axis. + // The axis number is assigned to the axisKeySet value, which is the axisKey. + var statType = statisticOptionsMap[statisticSelect][0]; + const axisKey = statisticOptionsMap[statisticSelect][1]; + curves[curveIndex].axisKey = axisKey; // stash the axisKey to use it later for axis options + const idealVal = statisticOptionsMap[statisticSelect][2]; + if (idealVal !== null && idealValues.indexOf(idealVal) === -1) { + idealValues.push(idealVal); + } + + var d; + if (!diffFrom) { + // this is a database driven curve, not a difference curve + // prepare the query from the above parameters + let statement = + "select floor(m0.valid_time%(24*3600)/3600) as hr_of_day, " + + "count(distinct m0.valid_time) as N_times, " + + "min(m0.valid_time) as min_secs, " + + "max(m0.valid_time) as max_secs, " + + "{{statisticClause}} " + + "{{queryTableClause}} " + + "where 1=1 " + + "{{dateClause}} " + + "{{thresholdClause}} " + + "{{forecastLengthClause}} " + + "group by hr_of_day " + + "order by hr_of_day" + + ";"; + + statement = statement.replace("{{statisticClause}}", statisticClause); + statement = statement.replace("{{queryTableClause}}", queryTableClause); + statement = statement.replace("{{thresholdClause}}", thresholdClause); + statement = statement.replace("{{forecastLengthClause}}", forecastLengthClause); + statement = statement.replace("{{dateClause}}", dateClause); + dataRequests[label] = statement; + + var queryResult; + const startMoment = moment(); + var finishMoment; + try { + // send the query statement to the query function + queryResult = matsDataQueryUtils.queryDBSpecialtyCurve( + sumPool, + statement, + appParams, + statisticSelect + ); + finishMoment = moment(); + dataRequests[`data retrieval (query) time - ${label}`] = { + begin: startMoment.format(), + finish: finishMoment.format(), + duration: `${moment + .duration(finishMoment.diff(startMoment)) + .asSeconds()} seconds`, + recordCount: queryResult.data.x.length, + }; + // get the data back from the query + d = queryResult.data; + } catch (e) { + // this is an error produced by a bug in the query function, not an error returned by the mysql database + e.message = `Error in queryDB: ${e.message} for statement: ${statement}`; + throw new Error(e.message); + } + if (queryResult.error !== undefined && queryResult.error !== "") { + if (queryResult.error === matsTypes.Messages.NO_DATA_FOUND) { + // this is NOT an error just a no data condition + dataFoundForCurve = false; + } else { + // this is an error returned by the mysql database + error += `Error from verification query:
${queryResult.error}
query:
${statement}
`; + throw new Error(error); + } + } else { + dataFoundForAnyCurve = true; + } + + // set axis limits based on returned data + var postQueryStartMoment = moment(); + if (dataFoundForCurve) { + xmin = xmin < d.xmin ? xmin : d.xmin; + xmax = xmax > d.xmax ? xmax : d.xmax; + ymin = ymin < d.ymin ? ymin : d.ymin; + ymax = ymax > d.ymax ? ymax : d.ymax; + } + } else { + // this is a difference curve + const diffResult = matsDataDiffUtils.getDataForDiffCurve( + dataset, + diffFrom, + appParams, + statType === "ctc", + statType === "scalar" + ); + d = diffResult.dataset; + xmin = xmin < d.xmin ? xmin : d.xmin; + xmax = xmax > d.xmax ? xmax : d.xmax; + ymin = ymin < d.ymin ? ymin : d.ymin; + ymax = ymax > d.ymax ? ymax : d.ymax; + } + + // set curve annotation to be the curve mean -- may be recalculated later + // also pass previously calculated axis stats to curve options + const mean = d.sum / d.x.length; + const annotation = + mean === undefined + ? `${label}- mean = NoData` + : `${label}- mean = ${mean.toPrecision(4)}`; + curve.annotation = annotation; + curve.xmin = d.xmin; + curve.xmax = d.xmax; + curve.ymin = d.ymin; + curve.ymax = d.ymax; + curve.axisKey = axisKey; + const cOptions = matsDataCurveOpsUtils.generateSeriesCurveOptions( + curve, + curveIndex, + axisMap, + d, + appParams + ); // generate plot with data, curve annotation, axis labels, etc. + dataset.push(cOptions); + const postQueryFinishMoment = moment(); + dataRequests[`post data retrieval (query) process time - ${label}`] = { + begin: postQueryStartMoment.format(), + finish: postQueryFinishMoment.format(), + duration: `${moment + .duration(postQueryFinishMoment.diff(postQueryStartMoment)) + .asSeconds()} seconds`, + }; + } // end for curves + + if (!dataFoundForAnyCurve) { + // we found no data for any curves so don't bother proceeding + throw new Error("INFO: No valid data for any curves."); + } + + // process the data returned by the query + const curveInfoParams = { + curves, + curvesLength, + idealValues, + utcCycleStarts, + statType, + axisMap, + xmax, + xmin, + }; + const bookkeepingParams = { + dataRequests, + totalProcessingStart, + }; + const result = matsDataProcessUtils.processDataXYCurve( + dataset, + appParams, + curveInfoParams, + plotParams, + bookkeepingParams + ); + plotFunction(result); +}; diff --git a/apps/ensemble/server/main.js b/apps/ensemble/server/main.js new file mode 100644 index 0000000000..498df19815 --- /dev/null +++ b/apps/ensemble/server/main.js @@ -0,0 +1,1451 @@ +/* + * Copyright (c) 2021 Colorado State University and Regents of the University of Colorado. All rights reserved. + */ + +import { Meteor } from "meteor/meteor"; +import { mysql } from "meteor/pcel:mysql"; +import { + matsTypes, + matsCollections, + matsDataUtils, + matsDataQueryUtils, + matsParamUtils, + matsCouchbaseUtils, +} from "meteor/randyp:mats-common"; + +// determined in doCurveParanms +let minDate; +let maxDate; +let dstr; + +const doPlotParams = function () { + if ( + matsCollections.Settings.findOne({}) === undefined || + matsCollections.Settings.findOne({}).resetFromCode === undefined || + matsCollections.Settings.findOne({}).resetFromCode === true + ) { + matsCollections.PlotParams.remove({}); + } + if (matsCollections.PlotParams.find().count() === 0) { + matsCollections.PlotParams.insert({ + name: "dates", + type: matsTypes.InputTypes.dateRange, + options: [""], + startDate: minDate, + stopDate: maxDate, + superiorNames: ["data-source"], + controlButtonCovered: true, + default: dstr, + controlButtonVisibility: "block", + displayOrder: 1, + displayPriority: 1, + displayGroup: 1, + help: "dateHelp.html", + }); + + const plotFormats = {}; + plotFormats[matsTypes.PlotFormats.matching] = "show matching diffs"; + plotFormats[matsTypes.PlotFormats.pairwise] = "pairwise diffs"; + plotFormats[matsTypes.PlotFormats.none] = "no diffs"; + matsCollections.PlotParams.insert({ + name: "plotFormat", + type: matsTypes.InputTypes.radioGroup, + optionsMap: plotFormats, + options: [ + matsTypes.PlotFormats.matching, + matsTypes.PlotFormats.pairwise, + matsTypes.PlotFormats.none, + ], + default: matsTypes.PlotFormats.none, + controlButtonCovered: false, + controlButtonVisibility: "block", + displayOrder: 1, + displayPriority: 1, + displayGroup: 3, + }); + + const yAxisOptionsMap = { + "Relative frequency": ["relFreq"], + Number: ["number"], + }; + matsCollections.PlotParams.insert({ + name: "histogram-yaxis-controls", + type: matsTypes.InputTypes.select, + optionsMap: yAxisOptionsMap, + options: Object.keys(yAxisOptionsMap), + default: Object.keys(yAxisOptionsMap)[0], + controlButtonCovered: true, + controlButtonText: "Y-axis mode", + displayOrder: 2, + displayPriority: 1, + displayGroup: 2, + }); + + const binOptionsMap = { + "Default bins": ["default"], + "Set number of bins": ["binNumber"], + "Make zero a bin bound": ["zeroBound"], + "Choose a bin bound": ["chooseBound"], + "Set number of bins and make zero a bin bound": ["binNumberWithZero"], + "Set number of bins and choose a bin bound": ["binNumberWithChosen"], + "Manual bins": ["manual"], + "Manual bin start, number, and stride": ["manualStride"], + }; + matsCollections.PlotParams.insert({ + name: "histogram-bin-controls", + type: matsTypes.InputTypes.select, + optionsMap: binOptionsMap, + options: Object.keys(binOptionsMap), + hideOtherFor: { + "bin-number": [ + "Default bins", + "Make zero a bin bound", + "Manual bins", + "Choose a bin bound", + ], + "bin-pivot": [ + "Default bins", + "Set number of bins", + "Make zero a bin bound", + "Set number of bins and make zero a bin bound", + "Manual bins", + "Manual bin start, number, and stride", + ], + "bin-start": [ + "Default bins", + "Set number of bins", + "Make zero a bin bound", + "Choose a bin bound", + "Set number of bins and make zero a bin bound", + "Set number of bins and choose a bin bound", + "Manual bins", + ], + "bin-stride": [ + "Default bins", + "Set number of bins", + "Make zero a bin bound", + "Choose a bin bound", + "Set number of bins and make zero a bin bound", + "Set number of bins and choose a bin bound", + "Manual bins", + ], + "bin-bounds": [ + "Default bins", + "Set number of bins", + "Make zero a bin bound", + "Choose a bin bound", + "Set number of bins and make zero a bin bound", + "Set number of bins and choose a bin bound", + "Manual bin start, number, and stride", + ], + }, + default: Object.keys(binOptionsMap)[0], + controlButtonCovered: true, + controlButtonText: "customize bins", + displayOrder: 3, + displayPriority: 1, + displayGroup: 2, + }); + + matsCollections.PlotParams.insert({ + name: "bin-number", + type: matsTypes.InputTypes.numberSpinner, + optionsMap: {}, + options: [], + min: "2", + max: "100", + step: "any", + default: "12", + controlButtonCovered: true, + controlButtonText: "number of bins", + displayOrder: 4, + displayPriority: 1, + displayGroup: 2, + }); + + matsCollections.PlotParams.insert({ + name: "bin-pivot", + type: matsTypes.InputTypes.numberSpinner, + optionsMap: {}, + options: [], + min: "-10000", + max: "10000", + step: "any", + default: "0", + controlButtonCovered: true, + controlButtonText: "bin pivot value", + displayOrder: 5, + displayPriority: 1, + displayGroup: 2, + }); + + matsCollections.PlotParams.insert({ + name: "bin-start", + type: matsTypes.InputTypes.numberSpinner, + optionsMap: {}, + options: [], + min: "-10000", + max: "10000", + step: "any", + default: "0", + controlButtonCovered: true, + controlButtonText: "bin start", + displayOrder: 6, + displayPriority: 1, + displayGroup: 2, + }); + + matsCollections.PlotParams.insert({ + name: "bin-stride", + type: matsTypes.InputTypes.numberSpinner, + optionsMap: {}, + options: [], + min: "-10000", + max: "10000", + step: "any", + default: "0", + controlButtonCovered: true, + controlButtonText: "bin stride", + displayOrder: 7, + displayPriority: 1, + displayGroup: 2, + }); + + matsCollections.PlotParams.insert({ + name: "bin-bounds", + type: matsTypes.InputTypes.textInput, + optionsMap: {}, + options: [], + default: " ", + controlButtonCovered: true, + controlButtonText: "bin bounds (Enter numbers separated by commas)", + displayOrder: 8, + displayPriority: 1, + displayGroup: 2, + }); + + const xOptionsMap = { + "Fcst lead time": "select m0.fcst_len as xVal, ", + Threshold: "select m0.thresh/100 as xVal, ", // produces thresholds in in + "Valid UTC hour": "select m0.valid_time%(24*3600)/3600 as xVal, ", + "Init UTC hour": + "select (m0.valid_time-m0.fcst_len*3600)%(24*3600)/3600 as xVal, ", + "Valid Date": "select m0.valid_time as xVal, ", + "Init Date": "select m0.valid_time-m0.fcst_len*3600 as xVal, ", + }; + + matsCollections.PlotParams.insert({ + name: "x-axis-parameter", + type: matsTypes.InputTypes.select, + options: Object.keys(xOptionsMap), + optionsMap: xOptionsMap, + selected: "", + controlButtonCovered: true, + unique: false, + default: Object.keys(xOptionsMap)[2], + controlButtonVisibility: "block", + displayOrder: 9, + displayPriority: 1, + displayGroup: 2, + }); + + const yOptionsMap = { + "Fcst lead time": "m0.fcst_len as yVal, ", + Threshold: "m0.thresh/100 as yVal, ", // produces thresholds in in + "Valid UTC hour": "m0.valid_time%(24*3600)/3600 as yVal, ", + "Init UTC hour": "(m0.valid_time-m0.fcst_len*3600)%(24*3600)/3600 as yVal, ", + "Valid Date": "m0.valid_time as yVal, ", + "Init Date": "m0.valid_time-m0.fcst_len*3600 as yVal, ", + }; + + matsCollections.PlotParams.insert({ + name: "y-axis-parameter", + type: matsTypes.InputTypes.select, + options: Object.keys(yOptionsMap), + optionsMap: yOptionsMap, + selected: "", + controlButtonCovered: true, + unique: false, + default: Object.keys(yOptionsMap)[0], + controlButtonVisibility: "block", + displayOrder: 10, + displayPriority: 1, + displayGroup: 2, + }); + + matsCollections.PlotParams.insert({ + name: "significance", + type: matsTypes.InputTypes.select, + options: ["none", "significance at 95th percentile"], + selected: "", + controlButtonCovered: true, + unique: false, + default: "none", + controlButtonVisibility: "block", + controlButtonText: "overlay significance", + displayOrder: 11, + displayPriority: 1, + displayGroup: 2, + }); + } else { + // need to update the dates selector if the metadata has changed + const currentParam = matsCollections.PlotParams.findOne({ name: "dates" }); + if ( + !matsDataUtils.areObjectsEqual(currentParam.startDate, minDate) || + !matsDataUtils.areObjectsEqual(currentParam.stopDate, maxDate) || + !matsDataUtils.areObjectsEqual(currentParam.default, dstr) + ) { + // have to reload model data + matsCollections.PlotParams.update( + { name: "dates" }, + { + $set: { + startDate: minDate, + stopDate: maxDate, + default: dstr, + }, + } + ); + } + } +}; + +const doCurveParams = function () { + // force a reset if requested - simply remove all the existing params to force a reload + if ( + matsCollections.Settings.findOne({}) === undefined || + matsCollections.Settings.findOne({}).resetFromCode === undefined || + matsCollections.Settings.findOne({}).resetFromCode === true + ) { + const params = matsCollections.CurveParamsInfo.find({ + curve_params: { $exists: true }, + }).fetch()[0].curve_params; + for (let cp = 0; cp < params.length; cp++) { + matsCollections[params[cp]].remove({}); + } + } + const modelOptionsMap = {}; + let modelDateRangeMap = {}; + const regionModelOptionsMap = {}; + const forecastLengthOptionsMap = {}; + const thresholdsModelOptionsMap = {}; + const sourceOptionsMap = {}; + const masterRegionValuesMap = {}; + const masterThresholdValuesMap = {}; + + try { + const rows = matsDataQueryUtils.simplePoolQueryWrapSynchronous( + metadataPool, + "select short_name,description from region_descriptions;" + ); + let masterRegDescription; + let masterShortName; + for (var j = 0; j < rows.length; j++) { + masterRegDescription = rows[j].description.trim(); + masterShortName = rows[j].short_name.trim(); + masterRegionValuesMap[masterShortName] = masterRegDescription; + } + } catch (err) { + console.log(err.message); + } + + try { + const rows = matsDataQueryUtils.simplePoolQueryWrapSynchronous( + modelPool, + "select trsh,description from threshold_descriptions;" + ); + let masterDescription; + let masterTrsh; + for (var j = 0; j < rows.length; j++) { + masterDescription = rows[j].description.trim(); + masterTrsh = rows[j].trsh.trim(); + masterThresholdValuesMap[masterTrsh] = masterDescription; + } + } catch (err) { + console.log(err.message); + } + + try { + const rows = matsDataQueryUtils.simplePoolQueryWrapSynchronous( + sumPool, + "select model,regions,sources,display_text,fcst_lens,trsh,mindate,maxdate from regions_per_model_mats_all_categories order by display_category, display_order;" + ); + for (let i = 0; i < rows.length; i++) { + const model_value = rows[i].model.trim(); + const model = rows[i].display_text.trim(); + modelOptionsMap[model] = [model_value]; + + const rowMinDate = moment.utc(rows[i].mindate * 1000).format("MM/DD/YYYY HH:mm"); + const rowMaxDate = moment.utc(rows[i].maxdate * 1000).format("MM/DD/YYYY HH:mm"); + modelDateRangeMap[model] = { minDate: rowMinDate, maxDate: rowMaxDate }; + + const { sources } = rows[i]; + const sourceArr = sources + .split(",") + .map(Function.prototype.call, String.prototype.trim); + for (var j = 0; j < sourceArr.length; j++) { + sourceArr[j] = sourceArr[j].replace(/'|\[|\]/g, ""); + } + sourceOptionsMap[model] = sourceArr; + + const forecastLengths = rows[i].fcst_lens; + const forecastLengthArr = forecastLengths + .split(",") + .map(Function.prototype.call, String.prototype.trim); + for (var j = 0; j < forecastLengthArr.length; j++) { + forecastLengthArr[j] = forecastLengthArr[j].replace(/'|\[|\]/g, ""); + } + forecastLengthOptionsMap[model] = forecastLengthArr; + + const thresholds = rows[i].trsh; + const thresholdsArrRaw = thresholds + .split(",") + .map(Function.prototype.call, String.prototype.trim); + const thresholdsArr = []; + var dummyThresh; + for (var j = 0; j < thresholdsArrRaw.length; j++) { + dummyThresh = thresholdsArrRaw[j].replace(/'|\[|\]/g, ""); + thresholdsArr.push(masterThresholdValuesMap[dummyThresh]); + } + thresholdsModelOptionsMap[model] = thresholdsArr; + + const { regions } = rows[i]; + const regionsArrRaw = regions + .split(",") + .map(Function.prototype.call, String.prototype.trim); + const regionsArr = []; + var dummyRegion; + for (var j = 0; j < regionsArrRaw.length; j++) { + dummyRegion = regionsArrRaw[j].replace(/'|\[|\]/g, ""); + regionsArr.push(masterRegionValuesMap[dummyRegion]); + } + regionModelOptionsMap[model] = regionsArr; + } + } catch (err) { + console.log(err.message); + } + + if (matsCollections.label.findOne({ name: "label" }) === undefined) { + matsCollections.label.insert({ + name: "label", + type: matsTypes.InputTypes.textInput, + optionsMap: {}, + options: [], + controlButtonCovered: true, + default: "", + unique: true, + controlButtonVisibility: "block", + displayOrder: 1, + displayPriority: 1, + displayGroup: 1, + help: "label.html", + }); + } + + if (matsCollections["data-source"].findOne({ name: "data-source" }) === undefined) { + matsCollections["data-source"].insert({ + name: "data-source", + type: matsTypes.InputTypes.select, + optionsMap: modelOptionsMap, + dates: modelDateRangeMap, + options: Object.keys(modelOptionsMap), + dependentNames: [ + "region", + "forecast-length", + "threshold", + "truth", + "dates", + "curve-dates", + ], + controlButtonCovered: true, + default: Object.keys(modelOptionsMap)[0], + unique: false, + controlButtonVisibility: "block", + displayOrder: 3, + displayPriority: 1, + displayGroup: 1, + }); + } else { + // it is defined but check for necessary update + var currentParam = matsCollections["data-source"].findOne({ name: "data-source" }); + if ( + !matsDataUtils.areObjectsEqual(currentParam.optionsMap, modelOptionsMap) || + !matsDataUtils.areObjectsEqual(currentParam.dates, modelDateRangeMap) + ) { + // have to reload model data + matsCollections["data-source"].update( + { name: "data-source" }, + { + $set: { + optionsMap: modelOptionsMap, + dates: modelDateRangeMap, + options: Object.keys(modelOptionsMap), + default: Object.keys(modelOptionsMap)[0], + }, + } + ); + } + } + + if (matsCollections.region.findOne({ name: "region" }) === undefined) { + matsCollections.region.insert({ + name: "region", + type: matsTypes.InputTypes.select, + optionsMap: regionModelOptionsMap, + options: regionModelOptionsMap[Object.keys(regionModelOptionsMap)[0]], + valuesMap: masterRegionValuesMap, + superiorNames: ["data-source"], + controlButtonCovered: true, + unique: false, + default: regionModelOptionsMap[Object.keys(regionModelOptionsMap)[0]][0], + controlButtonVisibility: "block", + displayOrder: 2, + displayPriority: 1, + displayGroup: 2, + }); + } else { + // it is defined but check for necessary update + var currentParam = matsCollections.region.findOne({ name: "region" }); + if ( + !matsDataUtils.areObjectsEqual(currentParam.optionsMap, regionModelOptionsMap) || + !matsDataUtils.areObjectsEqual(currentParam.valuesMap, masterRegionValuesMap) + ) { + // have to reload region data + matsCollections.region.update( + { name: "region" }, + { + $set: { + optionsMap: regionModelOptionsMap, + valuesMap: masterRegionValuesMap, + options: regionModelOptionsMap[Object.keys(regionModelOptionsMap)[0]], + default: regionModelOptionsMap[Object.keys(regionModelOptionsMap)[0]][0], + }, + } + ); + } + } + + if (matsCollections.statistic.findOne({ name: "statistic" }) === undefined) { + const optionsMap = { + "CSI (Critical Success Index)": ["ctc", "x100", 100], + + "TSS (True Skill Score)": ["ctc", "x100", 100], + + "PODy (POD of value > threshold)": ["ctc", "x100", 100], + + "PODn (POD of value < threshold)": ["ctc", "x100", 100], + + "FAR (False Alarm Ratio)": ["ctc", "x100", 0], + + "Bias (forecast/actual)": ["ctc", "Ratio", 1], + + "HSS (Heidke Skill Score)": ["ctc", "x100", 100], + + "ETS (Equitable Threat Score)": ["ctc", "x100", 100], + + "Nlow (Number of obs < threshold (false alarms + correct nulls))": [ + "ctc", + "Number", + null, + ], + + "Nhigh (Number of obs > threshold (hits + misses))": ["ctc", "Number", null], + + "Ntot (Total number of obs, (Nlow + Nhigh))": ["ctc", "Number", null], + + "Ratio Nlow / Ntot ((fa + cn)/(hit + miss + fa + cn))": ["ctc", "Ratio", null], + + "Ratio Nhigh / Ntot ((hit + miss)/(hit + miss + fa + cn))": [ + "ctc", + "Ratio", + null, + ], + + "N times*levels(*stations if station plot) per graph point": [ + "ctc", + "Number", + null, + ], + }; + matsCollections.statistic.insert({ + name: "statistic", + type: matsTypes.InputTypes.select, + optionsMap, + options: Object.keys(optionsMap), + controlButtonCovered: true, + unique: false, + default: Object.keys(optionsMap)[0], + controlButtonVisibility: "block", + displayOrder: 1, + displayPriority: 1, + displayGroup: 2, + }); + } + + if (matsCollections.threshold.findOne({ name: "threshold" }) === undefined) { + matsCollections.threshold.insert({ + name: "threshold", + type: matsTypes.InputTypes.select, + optionsMap: thresholdsModelOptionsMap, + options: thresholdsModelOptionsMap[Object.keys(thresholdsModelOptionsMap)[0]], + valuesMap: masterThresholdValuesMap, + superiorNames: ["data-source"], + controlButtonCovered: true, + unique: false, + default: thresholdsModelOptionsMap[Object.keys(thresholdsModelOptionsMap)[0]][0], + controlButtonVisibility: "block", + displayOrder: 1, + displayPriority: 1, + displayGroup: 3, + }); + } else { + // it is defined but check for necessary update + var currentParam = matsCollections.threshold.findOne({ name: "threshold" }); + if ( + !matsDataUtils.areObjectsEqual( + currentParam.optionsMap, + thresholdsModelOptionsMap + ) || + !matsDataUtils.areObjectsEqual(currentParam.valuesMap, masterThresholdValuesMap) + ) { + // have to reload threshold data + matsCollections.threshold.update( + { name: "threshold" }, + { + $set: { + optionsMap: thresholdsModelOptionsMap, + valuesMap: masterThresholdValuesMap, + options: + thresholdsModelOptionsMap[Object.keys(thresholdsModelOptionsMap)[0]], + default: + thresholdsModelOptionsMap[Object.keys(thresholdsModelOptionsMap)[0]][0], + }, + } + ); + } + } + + if (matsCollections.truth.find({ name: "truth" }).count() === 0) { + matsCollections.truth.insert({ + name: "truth", + type: matsTypes.InputTypes.select, + optionsMap: sourceOptionsMap, + options: sourceOptionsMap[Object.keys(sourceOptionsMap)[0]], + superiorNames: ["data-source"], + controlButtonCovered: true, + unique: false, + default: sourceOptionsMap[Object.keys(sourceOptionsMap)[0]][0], + controlButtonVisibility: "block", + displayOrder: 3, + displayPriority: 1, + displayGroup: 3, + }); + } else { + // it is defined but check for necessary update + var currentParam = matsCollections.truth.findOne({ name: "truth" }); + if (!matsDataUtils.areObjectsEqual(currentParam.optionsMap, sourceOptionsMap)) { + // have to reload truth data + matsCollections.truth.update( + { name: "truth" }, + { + $set: { + optionsMap: sourceOptionsMap, + options: sourceOptionsMap[Object.keys(sourceOptionsMap)[0]], + default: sourceOptionsMap[Object.keys(sourceOptionsMap)[0]][0], + }, + } + ); + } + } + + if ( + matsCollections["forecast-length"].findOne({ name: "forecast-length" }) === + undefined + ) { + matsCollections["forecast-length"].insert({ + name: "forecast-length", + type: matsTypes.InputTypes.select, + optionsMap: forecastLengthOptionsMap, + options: forecastLengthOptionsMap[Object.keys(forecastLengthOptionsMap)[0]], + superiorNames: ["data-source"], + selected: "", + controlButtonCovered: true, + unique: false, + default: 6, + controlButtonVisibility: "block", + controlButtonText: "forecast lead time (h)", + displayOrder: 1, + displayPriority: 1, + displayGroup: 4, + }); + } else { + // it is defined but check for necessary update + var currentParam = matsCollections["forecast-length"].findOne({ + name: "forecast-length", + }); + if ( + !matsDataUtils.areObjectsEqual(currentParam.optionsMap, forecastLengthOptionsMap) + ) { + // have to reload forecast length data + matsCollections["forecast-length"].update( + { name: "forecast-length" }, + { + $set: { + optionsMap: forecastLengthOptionsMap, + options: forecastLengthOptionsMap[Object.keys(forecastLengthOptionsMap)[0]], + }, + } + ); + } + } + + if (matsCollections["dieoff-type"].findOne({ name: "dieoff-type" }) === undefined) { + const dieoffOptionsMap = { + Dieoff: [matsTypes.ForecastTypes.dieoff], + "Dieoff for a specified UTC cycle init hour": [matsTypes.ForecastTypes.utcCycle], + "Single cycle forecast (uses first date in range)": [ + matsTypes.ForecastTypes.singleCycle, + ], + }; + matsCollections["dieoff-type"].insert({ + name: "dieoff-type", + type: matsTypes.InputTypes.select, + optionsMap: dieoffOptionsMap, + options: Object.keys(dieoffOptionsMap), + hideOtherFor: { + "valid-time": [ + "Dieoff for a specified UTC cycle init hour", + "Single cycle forecast (uses first date in range)", + ], + "utc-cycle-start": [ + "Dieoff", + "Single cycle forecast (uses first date in range)", + ], + }, + selected: "", + controlButtonCovered: true, + unique: false, + default: Object.keys(dieoffOptionsMap)[0], + controlButtonVisibility: "block", + controlButtonText: "dieoff type", + displayOrder: 2, + displayPriority: 1, + displayGroup: 4, + }); + } + + if (matsCollections["valid-time"].findOne({ name: "valid-time" }) === undefined) { + matsCollections["valid-time"].insert({ + name: "valid-time", + type: matsTypes.InputTypes.select, + options: [ + "0", + "1", + "2", + "3", + "4", + "5", + "6", + "7", + "8", + "9", + "10", + "11", + "12", + "13", + "14", + "15", + "16", + "17", + "18", + "19", + "20", + "21", + "22", + "23", + ], + controlButtonCovered: true, + selected: [], + unique: false, + default: matsTypes.InputTypes.unused, + controlButtonVisibility: "block", + controlButtonText: "valid utc hour", + displayOrder: 3, + displayPriority: 1, + displayGroup: 4, + multiple: true, + }); + } + + if ( + matsCollections["utc-cycle-start"].findOne({ name: "utc-cycle-start" }) === + undefined + ) { + matsCollections["utc-cycle-start"].insert({ + name: "utc-cycle-start", + type: matsTypes.InputTypes.select, + options: [ + "0", + "1", + "2", + "3", + "4", + "5", + "6", + "7", + "8", + "9", + "10", + "11", + "12", + "13", + "14", + "15", + "16", + "17", + "18", + "19", + "20", + "21", + "22", + "23", + ], + selected: "", + controlButtonCovered: true, + unique: false, + default: ["12"], + controlButtonVisibility: "block", + controlButtonText: "utc cycle init hour", + displayOrder: 4, + displayPriority: 1, + displayGroup: 4, + multiple: true, + }); + } + + if (matsCollections.average.findOne({ name: "average" }) === undefined) { + const optionsMap = { + None: [`ceil(${3600}*floor(((m0.valid_time)+${3600}/2)/${3600}))`], + "3hr": [`ceil(${3600 * 3}*floor(((m0.valid_time)+${3600 * 3}/2)/${3600 * 3}))`], + "6hr": [`ceil(${3600 * 6}*floor(((m0.valid_time)+${3600 * 6}/2)/${3600 * 6}))`], + "12hr": [ + `ceil(${3600 * 12}*floor(((m0.valid_time)+${3600 * 12}/2)/${3600 * 12}))`, + ], + "1D": [`ceil(${3600 * 24}*floor(((m0.valid_time)+${3600 * 24}/2)/${3600 * 24}))`], + "3D": [ + `ceil(${3600 * 24 * 3}*floor(((m0.valid_time)+${3600 * 24 * 3}/2)/${ + 3600 * 24 * 3 + }))`, + ], + "7D": [ + `ceil(${3600 * 24 * 7}*floor(((m0.valid_time)+${3600 * 24 * 7}/2)/${ + 3600 * 24 * 7 + }))`, + ], + "30D": [ + `ceil(${3600 * 24 * 30}*floor(((m0.valid_time)+${3600 * 24 * 30}/2)/${ + 3600 * 24 * 30 + }))`, + ], + "60D": [ + `ceil(${3600 * 24 * 60}*floor(((m0.valid_time)+${3600 * 24 * 60}/2)/${ + 3600 * 24 * 60 + }))`, + ], + "90D": [ + `ceil(${3600 * 24 * 90}*floor(((m0.valid_time)+${3600 * 24 * 90}/2)/${ + 3600 * 24 * 90 + }))`, + ], + "180D": [ + `ceil(${3600 * 24 * 180}*floor(((m0.valid_time)+${3600 * 24 * 180}/2)/${ + 3600 * 24 * 180 + }))`, + ], + }; + matsCollections.average.insert({ + name: "average", + type: matsTypes.InputTypes.select, + optionsMap, + options: Object.keys(optionsMap), + controlButtonCovered: true, + unique: false, + selected: "None", + default: "None", + controlButtonVisibility: "block", + displayOrder: 1, + displayPriority: 1, + displayGroup: 5, + }); + } + + if ( + matsCollections["bin-parameter"].findOne({ name: "bin-parameter" }) === undefined + ) { + const optionsMap = { + "Fcst lead time": "select m0.fcst_len as binVal, ", + Threshold: "select m0.thresh/100 as binVal, ", + "Valid UTC hour": "select m0.valid_time%(24*3600)/3600 as binVal, ", + "Init UTC hour": + "select (m0.valid_time-m0.fcst_len*3600)%(24*3600)/3600 as binVal, ", + "Valid Date": "select m0.valid_time as binVal, ", + "Init Date": "select m0.valid_time-m0.fcst_len*3600 as binVal, ", + }; + + matsCollections["bin-parameter"].insert({ + name: "bin-parameter", + type: matsTypes.InputTypes.select, + options: Object.keys(optionsMap), + optionsMap, + hideOtherFor: { + "forecast-length": ["Fcst lead time"], + threshold: ["Threshold"], + "valid-time": ["Valid UTC hour"], + }, + selected: "", + controlButtonCovered: true, + unique: false, + default: Object.keys(optionsMap)[4], + controlButtonVisibility: "block", + displayOrder: 3, + displayPriority: 1, + displayGroup: 6, + }); + } + + // determine date defaults for dates and curveDates + const defaultDataSource = matsCollections["data-source"].findOne( + { name: "data-source" }, + { default: 1 } + ).default; + modelDateRangeMap = matsCollections["data-source"].findOne( + { name: "data-source" }, + { dates: 1 } + ).dates; + minDate = modelDateRangeMap[defaultDataSource].minDate; + maxDate = modelDateRangeMap[defaultDataSource].maxDate; + + // need to turn the raw max and min from the metadata into the last valid month of data + const newDateRange = matsParamUtils.getMinMaxDates(minDate, maxDate); + const minusMonthMinDate = newDateRange.minDate; + maxDate = newDateRange.maxDate; + dstr = `${moment.utc(minusMonthMinDate).format("MM/DD/YYYY HH:mm")} - ${moment + .utc(maxDate) + .format("MM/DD/YYYY HH:mm")}`; + + if (matsCollections["curve-dates"].findOne({ name: "curve-dates" }) === undefined) { + const optionsMap = { + "1 day": ["1 day"], + "3 days": ["3 days"], + "7 days": ["7 days"], + "31 days": ["31 days"], + "90 days": ["90 days"], + "180 days": ["180 days"], + "365 days": ["365 days"], + }; + matsCollections["curve-dates"].insert({ + name: "curve-dates", + type: matsTypes.InputTypes.dateRange, + optionsMap, + options: Object.keys(optionsMap).sort(), + startDate: minDate, + stopDate: maxDate, + superiorNames: ["data-source"], + controlButtonCovered: true, + unique: false, + default: dstr, + controlButtonVisibility: "block", + displayOrder: 1, + displayPriority: 1, + displayGroup: 7, + help: "dateHelp.html", + }); + } else { + // it is defined but check for necessary update + var currentParam = matsCollections["curve-dates"].findOne({ name: "curve-dates" }); + if ( + !matsDataUtils.areObjectsEqual(currentParam.startDate, minDate) || + !matsDataUtils.areObjectsEqual(currentParam.stopDate, maxDate) || + !matsDataUtils.areObjectsEqual(currentParam.default, dstr) + ) { + // have to reload dates data + matsCollections["curve-dates"].update( + { name: "curve-dates" }, + { + $set: { + startDate: minDate, + stopDate: maxDate, + default: dstr, + }, + } + ); + } + } +}; + +/* The format of a curveTextPattern is an array of arrays, each sub array has + [labelString, localVariableName, delimiterString] any of which can be null. + Each sub array will be joined (the localVariableName is always dereferenced first) + and then the sub arrays will be joined maintaining order. + + The curveTextPattern is found by its name which must match the corresponding matsCollections.PlotGraphFunctions.PlotType value. + See curve_item.js and standAlone.js. + */ +const doCurveTextPatterns = function () { + if ( + matsCollections.Settings.findOne({}) === undefined || + matsCollections.Settings.findOne({}).resetFromCode === undefined || + matsCollections.Settings.findOne({}).resetFromCode === true + ) { + matsCollections.CurveTextPatterns.remove({}); + } + if (matsCollections.CurveTextPatterns.find().count() === 0) { + matsCollections.CurveTextPatterns.insert({ + plotType: matsTypes.PlotTypes.timeSeries, + textPattern: [ + ["", "label", ": "], + ["", "data-source", " in "], + ["", "region", ", "], + ["", "threshold", " "], + ["", "statistic", ", "], + ["fcst_len: ", "forecast-length", "h, "], + ["valid-time: ", "valid-time", ", "], + ["avg: ", "average", ", "], + ["", "truth", ""], + ], + displayParams: [ + "label", + "data-source", + "region", + "statistic", + "threshold", + "average", + "forecast-length", + "valid-time", + "truth", + ], + groupSize: 6, + }); + matsCollections.CurveTextPatterns.insert({ + plotType: matsTypes.PlotTypes.dieoff, + textPattern: [ + ["", "label", ": "], + ["", "data-source", " in "], + ["", "region", ", "], + ["", "threshold", " "], + ["", "statistic", ", "], + ["", "dieoff-type", ", "], + ["valid-time: ", "valid-time", ", "], + ["start utc: ", "utc-cycle-start", ", "], + ["", "truth", ", "], + ["", "curve-dates", ""], + ], + displayParams: [ + "label", + "data-source", + "region", + "statistic", + "threshold", + "dieoff-type", + "valid-time", + "utc-cycle-start", + "truth", + "curve-dates", + ], + groupSize: 6, + }); + matsCollections.CurveTextPatterns.insert({ + plotType: matsTypes.PlotTypes.threshold, + textPattern: [ + ["", "label", ": "], + ["", "data-source", " in "], + ["", "region", ", "], + ["", "statistic", ", "], + ["fcst_len: ", "forecast-length", "h, "], + ["valid-time: ", "valid-time", ", "], + ["", "truth", ", "], + ["", "curve-dates", ""], + ], + displayParams: [ + "label", + "data-source", + "region", + "statistic", + "forecast-length", + "valid-time", + "truth", + "curve-dates", + ], + groupSize: 6, + }); + matsCollections.CurveTextPatterns.insert({ + plotType: matsTypes.PlotTypes.validtime, + textPattern: [ + ["", "label", ": "], + ["", "data-source", " in "], + ["", "region", ", "], + ["", "threshold", " "], + ["", "statistic", ", "], + ["fcst_len: ", "forecast-length", "h, "], + ["", "truth", ", "], + ["", "curve-dates", ""], + ], + displayParams: [ + "label", + "data-source", + "region", + "statistic", + "threshold", + "forecast-length", + "truth", + "curve-dates", + ], + groupSize: 6, + }); + matsCollections.CurveTextPatterns.insert({ + plotType: matsTypes.PlotTypes.dailyModelCycle, + textPattern: [ + ["", "label", ": "], + ["", "data-source", " in "], + ["", "region", ", "], + ["", "threshold", " "], + ["", "statistic", ", "], + ["start utc: ", "utc-cycle-start", ", "], + ["", "truth", ""], + ], + displayParams: [ + "label", + "data-source", + "region", + "statistic", + "threshold", + "utc-cycle-start", + "truth", + ], + groupSize: 6, + }); + matsCollections.CurveTextPatterns.insert({ + plotType: matsTypes.PlotTypes.performanceDiagram, + textPattern: [ + ["", "label", ": "], + ["", "data-source", " in "], + ["", "region", ", "], + ["", "threshold", " "], + ["fcst_len: ", "forecast-length", "h, "], + ["valid-time: ", "valid-time", ", "], + ["", "truth", ", "], + ["", "curve-dates", ""], + ], + displayParams: [ + "label", + "data-source", + "region", + "threshold", + "forecast-length", + "valid-time", + "truth", + "bin-parameter", + "curve-dates", + ], + groupSize: 6, + }); + matsCollections.CurveTextPatterns.insert({ + plotType: matsTypes.PlotTypes.histogram, + textPattern: [ + ["", "label", ": "], + ["", "data-source", " in "], + ["", "region", ", "], + ["", "threshold", " "], + ["", "statistic", ", "], + ["fcst_len: ", "forecast-length", "h, "], + ["valid-time: ", "valid-time", ", "], + ["", "truth", ", "], + ["", "curve-dates", ""], + ], + displayParams: [ + "label", + "data-source", + "region", + "statistic", + "threshold", + "forecast-length", + "valid-time", + "truth", + "curve-dates", + ], + groupSize: 6, + }); + matsCollections.CurveTextPatterns.insert({ + plotType: matsTypes.PlotTypes.contour, + textPattern: [ + ["", "label", ": "], + ["", "data-source", " in "], + ["", "region", ", "], + ["", "threshold", " "], + ["", "statistic", ", "], + ["fcst_len: ", "forecast-length", "h, "], + ["valid-time: ", "valid-time", ", "], + ["", "truth", ""], + ], + displayParams: [ + "label", + "data-source", + "region", + "statistic", + "threshold", + "forecast-length", + "valid-time", + "truth", + ], + groupSize: 6, + }); + matsCollections.CurveTextPatterns.insert({ + plotType: matsTypes.PlotTypes.contourDiff, + textPattern: [ + ["", "label", ": "], + ["", "data-source", " in "], + ["", "region", ", "], + ["", "threshold", " "], + ["", "statistic", ", "], + ["fcst_len: ", "forecast-length", "h, "], + ["valid-time: ", "valid-time", ", "], + ["", "truth", ""], + ], + displayParams: [ + "label", + "data-source", + "region", + "statistic", + "threshold", + "forecast-length", + "valid-time", + "truth", + ], + groupSize: 6, + }); + } +}; + +const doSavedCurveParams = function () { + if ( + matsCollections.Settings.findOne({}) === undefined || + matsCollections.Settings.findOne({}).resetFromCode === undefined || + matsCollections.Settings.findOne({}).resetFromCode === true + ) { + matsCollections.SavedCurveParams.remove({}); + } + if (matsCollections.SavedCurveParams.find().count() === 0) { + matsCollections.SavedCurveParams.insert({ clName: "changeList", changeList: [] }); + } +}; + +const doPlotGraph = function () { + if ( + matsCollections.Settings.findOne({}) === undefined || + matsCollections.Settings.findOne({}).resetFromCode === undefined || + matsCollections.Settings.findOne({}).resetFromCode === true + ) { + matsCollections.PlotGraphFunctions.remove({}); + } + if (matsCollections.PlotGraphFunctions.find().count() === 0) { + matsCollections.PlotGraphFunctions.insert({ + plotType: matsTypes.PlotTypes.timeSeries, + graphFunction: "graphPlotly", + dataFunction: "dataSeries", + checked: true, + }); + matsCollections.PlotGraphFunctions.insert({ + plotType: matsTypes.PlotTypes.dieoff, + graphFunction: "graphPlotly", + dataFunction: "dataDieOff", + checked: false, + }); + matsCollections.PlotGraphFunctions.insert({ + plotType: matsTypes.PlotTypes.threshold, + graphFunction: "graphPlotly", + dataFunction: "dataThreshold", + checked: false, + }); + matsCollections.PlotGraphFunctions.insert({ + plotType: matsTypes.PlotTypes.validtime, + graphFunction: "graphPlotly", + dataFunction: "dataValidTime", + checked: false, + }); + matsCollections.PlotGraphFunctions.insert({ + plotType: matsTypes.PlotTypes.dailyModelCycle, + graphFunction: "graphPlotly", + dataFunction: "dataDailyModelCycle", + checked: false, + }); + matsCollections.PlotGraphFunctions.insert({ + plotType: matsTypes.PlotTypes.performanceDiagram, + graphFunction: "graphPlotly", + dataFunction: "dataPerformanceDiagram", + checked: false, + }); + matsCollections.PlotGraphFunctions.insert({ + plotType: matsTypes.PlotTypes.histogram, + graphFunction: "graphPlotly", + dataFunction: "dataHistogram", + checked: false, + }); + matsCollections.PlotGraphFunctions.insert({ + plotType: matsTypes.PlotTypes.contour, + graphFunction: "graphPlotly", + dataFunction: "dataContour", + checked: false, + }); + matsCollections.PlotGraphFunctions.insert({ + plotType: matsTypes.PlotTypes.contourDiff, + graphFunction: "graphPlotly", + dataFunction: "dataContourDiff", + checked: false, + }); + } +}; + +Meteor.startup(function () { + matsCollections.Databases.remove({}); + if (matsCollections.Databases.find({}).count() < 0) { + console.log( + "main startup: corrupted Databases collection: dropping Databases collection" + ); + matsCollections.Databases.drop(); + } + if (matsCollections.Databases.find({}).count() === 0) { + let databases; + if ( + Meteor.settings === undefined || + Meteor.settings.private === undefined || + Meteor.settings.private.databases === undefined + ) { + databases = undefined; + } else { + databases = Meteor.settings.private.databases; + } + if (databases !== null && databases !== undefined && Array.isArray(databases)) { + for (let di = 0; di < databases.length; di++) { + matsCollections.Databases.insert(databases[di]); + } + } + } + + // create list of all pools + const allPools = []; + + // connect to the couchbase cluster + const cbConnection = matsCollections.Databases.findOne( + { + role: matsTypes.DatabaseRoles.COUCHBASE, + status: "active", + }, + { + host: 1, + port: 1, + bucket: 1, + scope: 1, + collection: 1, + user: 1, + password: 1, + } + ); + if (cbConnection) { + // global cbScorecardSettingsPool + cbScorecardSettingsPool = new matsCouchbaseUtils.CBUtilities( + cbConnection.host, + cbConnection.bucket, + cbConnection.scope, + cbConnection.collection, + cbConnection.user, + cbConnection.password + ); + } + + const metadataSettings = matsCollections.Databases.findOne( + { + role: matsTypes.DatabaseRoles.META_DATA, + status: "active", + }, + { + host: 1, + port: 1, + user: 1, + password: 1, + database: 1, + connectionLimit: 1, + } + ); + // the pool is intended to be global + if (metadataSettings) { + metadataPool = mysql.createPool(metadataSettings); + allPools.push({ pool: "metadataPool", role: matsTypes.DatabaseRoles.META_DATA }); + } + + const modelSettings = matsCollections.Databases.findOne( + { role: matsTypes.DatabaseRoles.MODEL_DATA, status: "active" }, + { + host: 1, + port: 1, + user: 1, + password: 1, + database: 1, + connectionLimit: 1, + } + ); + // the pool is intended to be global + if (modelSettings) { + modelPool = mysql.createPool(modelSettings); + allPools.push({ pool: "modelPool", role: matsTypes.DatabaseRoles.MODEL_DATA }); + } + + const sumSettings = matsCollections.Databases.findOne( + { + role: matsTypes.DatabaseRoles.SUMS_DATA, + status: "active", + }, + { + host: 1, + port: 1, + user: 1, + password: 1, + database: 1, + connectionLimit: 1, + } + ); + // the pool is intended to be global + if (sumSettings) { + sumPool = mysql.createPool(sumSettings); + allPools.push({ pool: "sumPool", role: matsTypes.DatabaseRoles.SUMS_DATA }); + } + + // create list of tables we need to monitor for update + const mdr = new matsTypes.MetaDataDBRecord("metadataPool", "mats_common", [ + "region_descriptions", + ]); + mdr.addRecord("modelPool", "precip_mesonets2", ["threshold_descriptions"]); + mdr.addRecord("sumPool", "precip_mesonets2_sums", [ + "regions_per_model_mats_all_categories", + ]); + try { + matsMethods.resetApp({ + appPools: allPools, + appMdr: mdr, + appType: matsTypes.AppTypes.mats, + }); + } catch (error) { + console.log(error.message); + } +}); + +// this object is global so that the reset code can get to it +// These are application specific mongo data - like curve params +// The appSpecificResetRoutines object is a special name, +// as is doCurveParams. The refreshMetaData mechanism depends on them being named that way. +appSpecificResetRoutines = [ + doPlotGraph, + doCurveParams, + doSavedCurveParams, + doPlotParams, + doCurveTextPatterns, +]; From 91f04a1386e95df6010736fd00195589e9a48140 Mon Sep 17 00:00:00 2001 From: Molly Smith Date: Tue, 13 Jun 2023 13:14:08 -0600 Subject: [PATCH 02/50] Switched dummy ensemble functions from gaugePrecip to radar, which is more apt. --- .../server/dataFunctions/data_contour.js | 47 +- .../server/dataFunctions/data_contour_diff.js | 46 +- .../dataFunctions/data_dailymodelcycle.js | 52 +- .../server/dataFunctions/data_dieoff.js | 56 +- .../server/dataFunctions/data_histogram.js | 52 +- .../server/dataFunctions/data_perfDiagram.js | 41 +- .../server/dataFunctions/data_series.js | 50 +- .../server/dataFunctions/data_threshold.js | 46 +- .../server/dataFunctions/data_validtime.js | 50 +- apps/ensemble/server/main.js | 546 +++++++++++------- 10 files changed, 619 insertions(+), 367 deletions(-) diff --git a/apps/ensemble/server/dataFunctions/data_contour.js b/apps/ensemble/server/dataFunctions/data_contour.js index e4cd3b9a06..f37c909014 100644 --- a/apps/ensemble/server/dataFunctions/data_contour.js +++ b/apps/ensemble/server/dataFunctions/data_contour.js @@ -45,8 +45,12 @@ dataContour = function (plotParams, plotFunction) { // initialize variables specific to the curve const curve = curves[0]; const { label } = curve; + const { variable } = curve; + const databaseRef = matsCollections.variable.findOne({ name: "variable" }).optionsMap[ + variable + ]; const model = matsCollections["data-source"].findOne({ name: "data-source" }) - .optionsMap[curve["data-source"]][0]; + .optionsMap[variable][curve["data-source"]][0]; const regionStr = curve.region; const region = Object.keys( matsCollections.region.findOne({ name: "region" }).valuesMap @@ -54,12 +58,15 @@ dataContour = function (plotParams, plotFunction) { (key) => matsCollections.region.findOne({ name: "region" }).valuesMap[key] === regionStr ); - const source = curve.truth; - let sourceStr = ""; - if (source !== "All") { - sourceStr = `_${source}`; - } - const queryTableClause = `from ${model}_${region}${sourceStr} as m0`; + const scaleStr = curve.scale; + const grid_scale = Object.keys( + matsCollections.scale.findOne({ name: "scale" }).valuesMap[variable] + ).find( + (key) => + matsCollections.scale.findOne({ name: "scale" }).valuesMap[variable][key] === + scaleStr + ); + const queryTableClause = `from ${databaseRef}.${model}_${grid_scale}_${region} as m0`; let thresholdClause = ""; let validTimeClause = ""; let forecastLengthClause = ""; @@ -68,18 +75,19 @@ dataContour = function (plotParams, plotFunction) { if (xAxisParam !== "Threshold" && yAxisParam !== "Threshold") { const thresholdStr = curve.threshold; const threshold = Object.keys( - matsCollections.threshold.findOne({ name: "threshold" }).valuesMap + matsCollections.threshold.findOne({ name: "threshold" }).valuesMap[variable] ).find( (key) => - matsCollections.threshold.findOne({ name: "threshold" }).valuesMap[key] === - thresholdStr + matsCollections.threshold.findOne({ name: "threshold" }).valuesMap[variable][ + key + ] === thresholdStr ); - thresholdClause = `and m0.thresh = ${threshold}`; + thresholdClause = `and m0.trsh = ${threshold / 10000}`; } if (xAxisParam !== "Valid UTC hour" && yAxisParam !== "Valid UTC hour") { const validTimes = curve["valid-time"] === undefined ? [] : curve["valid-time"]; if (validTimes.length > 0 && validTimes !== matsTypes.InputTypes.unused) { - validTimeClause = `and m0.valid_time%(24*3600)/3600 IN(${validTimes})`; + validTimeClause = `and m0.time%(24*3600)/3600 IN(${validTimes})`; } } if (xAxisParam !== "Fcst lead time" && yAxisParam !== "Fcst lead time") { @@ -91,9 +99,9 @@ dataContour = function (plotParams, plotFunction) { xAxisParam !== "Valid Date" && yAxisParam !== "Valid Date" ) { - dateString = "m0.valid_time-m0.fcst_len*3600"; + dateString = "m0.time-m0.fcst_len*3600"; } else { - dateString = "m0.valid_time"; + dateString = "m0.time"; } dateClause = `and ${dateString} >= ${fromSecs} and ${dateString} <= ${toSecs}`; const statisticSelect = curve.statistic; @@ -102,7 +110,7 @@ dataContour = function (plotParams, plotFunction) { { optionsMap: 1 } ).optionsMap; const statisticClause = - "sum(m0.yy) as hit, sum(m0.yn) as fa, sum(m0.ny) as miss, sum(m0.nn) as cn, group_concat(m0.valid_time, ';', m0.yy, ';', m0.yn, ';', m0.ny, ';', m0.nn order by m0.valid_time) as sub_data, count(m0.yy) as N0"; + "sum(m0.yy) as hit, sum(m0.ny) as fa, sum(m0.yn) as miss, sum(m0.nn) as cn, group_concat(m0.time, ';', m0.yy, ';', m0.ny, ';', m0.yn, ';', m0.nn order by m0.time) as sub_data, count(m0.yy) as N0"; // For contours, this functions as the colorbar label. const statType = statisticOptionsMap[statisticSelect][0]; curve.unitKey = statisticOptionsMap[statisticSelect][1]; @@ -172,7 +180,14 @@ dataContour = function (plotParams, plotFunction) { } else { // this is an error returned by the mysql database error += `Error from verification query:
${queryResult.error}
query:
${statement}
`; - throw new Error(error); + if (error.includes("ER_NO_SUCH_TABLE")) { + throw new Error( + `INFO: The region/scale combination [${regionStr} and ${scaleStr}] is not supported by the database for the model [${model}]. ` + + `Choose a different scale to continue using this region.` + ); + } else { + throw new Error(error); + } } } diff --git a/apps/ensemble/server/dataFunctions/data_contour_diff.js b/apps/ensemble/server/dataFunctions/data_contour_diff.js index 5460fe0f7f..f367787887 100644 --- a/apps/ensemble/server/dataFunctions/data_contour_diff.js +++ b/apps/ensemble/server/dataFunctions/data_contour_diff.js @@ -51,8 +51,11 @@ dataContourDiff = function (plotParams, plotFunction) { // initialize variables specific to each curve const curve = curves[curveIndex]; const { label } = curve; + var { variable } = curve; + const databaseRef = matsCollections.variable.findOne({ name: "variable" }) + .optionsMap[variable]; const model = matsCollections["data-source"].findOne({ name: "data-source" }) - .optionsMap[curve["data-source"]][0]; + .optionsMap[variable][curve["data-source"]][0]; var regionStr = curve.region; const region = Object.keys( matsCollections.region.findOne({ name: "region" }).valuesMap @@ -60,12 +63,15 @@ dataContourDiff = function (plotParams, plotFunction) { (key) => matsCollections.region.findOne({ name: "region" }).valuesMap[key] === regionStr ); - const source = curve.truth; - let sourceStr = ""; - if (source !== "All") { - sourceStr = `_${source}`; - } - const queryTableClause = `from ${model}_${region}${sourceStr} as m0`; + var scaleStr = curve.scale; + const grid_scale = Object.keys( + matsCollections.scale.findOne({ name: "scale" }).valuesMap[variable] + ).find( + (key) => + matsCollections.scale.findOne({ name: "scale" }).valuesMap[variable][key] === + scaleStr + ); + const queryTableClause = `from ${databaseRef}.${model}_${grid_scale}_${region} as m0`; let thresholdClause = ""; let validTimeClause = ""; let forecastLengthClause = ""; @@ -74,18 +80,19 @@ dataContourDiff = function (plotParams, plotFunction) { if (xAxisParam !== "Threshold" && yAxisParam !== "Threshold") { var thresholdStr = curve.threshold; const threshold = Object.keys( - matsCollections.threshold.findOne({ name: "threshold" }).valuesMap + matsCollections.threshold.findOne({ name: "threshold" }).valuesMap[variable] ).find( (key) => - matsCollections.threshold.findOne({ name: "threshold" }).valuesMap[key] === - thresholdStr + matsCollections.threshold.findOne({ name: "threshold" }).valuesMap[variable][ + key + ] === thresholdStr ); - thresholdClause = `and m0.thresh = ${threshold}`; + thresholdClause = `and m0.trsh = ${threshold / 10000}`; } if (xAxisParam !== "Valid UTC hour" && yAxisParam !== "Valid UTC hour") { const validTimes = curve["valid-time"] === undefined ? [] : curve["valid-time"]; if (validTimes.length > 0 && validTimes !== matsTypes.InputTypes.unused) { - validTimeClause = `and m0.valid_time%(24*3600)/3600 IN(${validTimes})`; + validTimeClause = `and m0.time%(24*3600)/3600 IN(${validTimes})`; } } if (xAxisParam !== "Fcst lead time" && yAxisParam !== "Fcst lead time") { @@ -97,9 +104,9 @@ dataContourDiff = function (plotParams, plotFunction) { xAxisParam !== "Valid Date" && yAxisParam !== "Valid Date" ) { - dateString = "m0.valid_time-m0.fcst_len*3600"; + dateString = "m0.time-m0.fcst_len*3600"; } else { - dateString = "m0.valid_time"; + dateString = "m0.time"; } dateClause = `and ${dateString} >= ${fromSecs} and ${dateString} <= ${toSecs}`; var statisticSelect = curve.statistic; @@ -108,7 +115,7 @@ dataContourDiff = function (plotParams, plotFunction) { { optionsMap: 1 } ).optionsMap; const statisticClause = - "sum(m0.yy) as hit, sum(m0.yn) as fa, sum(m0.ny) as miss, sum(m0.nn) as cn, group_concat(m0.valid_time, ';', m0.yy, ';', m0.yn, ';', m0.ny, ';', m0.nn order by m0.valid_time) as sub_data, count(m0.yy) as N0"; + "sum(m0.yy) as hit, sum(m0.ny) as fa, sum(m0.yn) as miss, sum(m0.nn) as cn, group_concat(m0.time, ';', m0.yy, ';', m0.ny, ';', m0.yn, ';', m0.nn order by m0.time) as sub_data, count(m0.yy) as N0"; // For contours, this functions as the colorbar label. var statType = statisticOptionsMap[statisticSelect][0]; curves[curveIndex].unitKey = statisticOptionsMap[statisticSelect][1]; @@ -178,7 +185,14 @@ dataContourDiff = function (plotParams, plotFunction) { } else { // this is an error returned by the mysql database error += `Error from verification query:
${queryResult.error}
query:
${statement}
`; - throw new Error(error); + if (error.includes("ER_NO_SUCH_TABLE")) { + throw new Error( + `INFO: The region/scale combination [${regionStr} and ${scaleStr}] is not supported by the database for the model [${model}]. ` + + `Choose a different scale to continue using this region.` + ); + } else { + throw new Error(error); + } } dataNotFoundForAnyCurve = true; } diff --git a/apps/ensemble/server/dataFunctions/data_dailymodelcycle.js b/apps/ensemble/server/dataFunctions/data_dailymodelcycle.js index e0f4721495..be4a3b51b7 100644 --- a/apps/ensemble/server/dataFunctions/data_dailymodelcycle.js +++ b/apps/ensemble/server/dataFunctions/data_dailymodelcycle.js @@ -47,8 +47,11 @@ dataDailyModelCycle = function (plotParams, plotFunction) { const curve = curves[curveIndex]; const { diffFrom } = curve; const { label } = curve; + var { variable } = curve; + const databaseRef = matsCollections.variable.findOne({ name: "variable" }) + .optionsMap[variable]; const model = matsCollections["data-source"].findOne({ name: "data-source" }) - .optionsMap[curve["data-source"]][0]; + .optionsMap[variable][curve["data-source"]][0]; var regionStr = curve.region; const region = Object.keys( matsCollections.region.findOne({ name: "region" }).valuesMap @@ -56,21 +59,25 @@ dataDailyModelCycle = function (plotParams, plotFunction) { (key) => matsCollections.region.findOne({ name: "region" }).valuesMap[key] === regionStr ); - const source = curve.truth; - let sourceStr = ""; - if (source !== "All") { - sourceStr = `_${source}`; - } - const queryTableClause = `from ${model}_${region}${sourceStr} as m0`; + var scaleStr = curve.scale; + const grid_scale = Object.keys( + matsCollections.scale.findOne({ name: "scale" }).valuesMap[variable] + ).find( + (key) => + matsCollections.scale.findOne({ name: "scale" }).valuesMap[variable][key] === + scaleStr + ); + const queryTableClause = `from ${databaseRef}.${model}_${grid_scale}_${region} as m0`; var thresholdStr = curve.threshold; const threshold = Object.keys( - matsCollections.threshold.findOne({ name: "threshold" }).valuesMap + matsCollections.threshold.findOne({ name: "threshold" }).valuesMap[variable] ).find( (key) => - matsCollections.threshold.findOne({ name: "threshold" }).valuesMap[key] === - thresholdStr + matsCollections.threshold.findOne({ name: "threshold" }).valuesMap[variable][ + key + ] === thresholdStr ); - const thresholdClause = `and m0.thresh = ${threshold}`; + const thresholdClause = `and m0.trsh = ${threshold / 10000}`; if (curve["utc-cycle-start"].length !== 1) { throw new Error( "INFO: Please select exactly one UTC Cycle Init Hour for this plot type." @@ -78,16 +85,16 @@ dataDailyModelCycle = function (plotParams, plotFunction) { } const utcCycleStart = Number(curve["utc-cycle-start"][0]); utcCycleStarts[curveIndex] = utcCycleStart; - const utcCycleStartClause = `and floor((m0.valid_time - m0.fcst_len*3600)%(24*3600)/3600) IN(${utcCycleStart})`; + const utcCycleStartClause = `and floor((m0.time - m0.fcst_len*3600)%(24*3600)/3600) IN(${utcCycleStart})`; const forecastLengthClause = "and m0.fcst_len < 24"; - const dateClause = `and m0.valid_time >= ${fromSecs} and m0.valid_time <= ${toSecs}`; + const dateClause = `and m0.time >= ${fromSecs} and m0.time <= ${toSecs}`; const statisticSelect = curve.statistic; const statisticOptionsMap = matsCollections.statistic.findOne( { name: "statistic" }, { optionsMap: 1 } ).optionsMap; const statisticClause = - "sum(m0.yy) as hit, sum(m0.yn) as fa, sum(m0.ny) as miss, sum(m0.nn) as cn, group_concat(m0.valid_time, ';', m0.yy, ';', m0.yn, ';', m0.ny, ';', m0.nn order by m0.valid_time) as sub_data, count(m0.yy) as N0"; + "sum(m0.yy) as hit, sum(m0.ny) as fa, sum(m0.yn) as miss, sum(m0.nn) as cn, group_concat(m0.time, ';', m0.yy, ';', m0.ny, ';', m0.yn, ';', m0.nn order by m0.time) as sub_data, count(m0.yy) as N0"; // axisKey is used to determine which axis a curve should use. // This axisKeySet object is used like a set and if a curve has the same // units (axisKey) it will use the same axis. @@ -105,10 +112,10 @@ dataDailyModelCycle = function (plotParams, plotFunction) { // this is a database driven curve, not a difference curve // prepare the query from the above parameters let statement = - "select m0.valid_time as avtime, " + - "count(distinct m0.valid_time) as N_times, " + - "min(m0.valid_time) as min_secs, " + - "max(m0.valid_time) as max_secs, " + + "select m0.time as avtime, " + + "count(distinct m0.time) as N_times, " + + "min(m0.time) as min_secs, " + + "max(m0.time) as max_secs, " + "{{statisticClause}} " + "{{queryTableClause}} " + "where 1=1 " + @@ -162,7 +169,14 @@ dataDailyModelCycle = function (plotParams, plotFunction) { } else { // this is an error returned by the mysql database error += `Error from verification query:
${queryResult.error}
query:
${statement}
`; - throw new Error(error); + if (error.includes("ER_NO_SUCH_TABLE")) { + throw new Error( + `INFO: The region/scale combination [${regionStr} and ${scaleStr}] is not supported by the database for the model [${model}]. ` + + `Choose a different scale to continue using this region.` + ); + } else { + throw new Error(error); + } } } else { dataFoundForAnyCurve = true; diff --git a/apps/ensemble/server/dataFunctions/data_dieoff.js b/apps/ensemble/server/dataFunctions/data_dieoff.js index 9a61398c19..40e1e4e8ff 100644 --- a/apps/ensemble/server/dataFunctions/data_dieoff.js +++ b/apps/ensemble/server/dataFunctions/data_dieoff.js @@ -44,8 +44,11 @@ dataDieOff = function (plotParams, plotFunction) { const curve = curves[curveIndex]; const { diffFrom } = curve; const { label } = curve; + var { variable } = curve; + const databaseRef = matsCollections.variable.findOne({ name: "variable" }) + .optionsMap[variable]; const model = matsCollections["data-source"].findOne({ name: "data-source" }) - .optionsMap[curve["data-source"]][0]; + .optionsMap[variable][curve["data-source"]][0]; var regionStr = curve.region; const region = Object.keys( matsCollections.region.findOne({ name: "region" }).valuesMap @@ -53,21 +56,25 @@ dataDieOff = function (plotParams, plotFunction) { (key) => matsCollections.region.findOne({ name: "region" }).valuesMap[key] === regionStr ); - const source = curve.truth; - let sourceStr = ""; - if (source !== "All") { - sourceStr = `_${source}`; - } - const queryTableClause = `from ${model}_${region}${sourceStr} as m0`; + var scaleStr = curve.scale; + const grid_scale = Object.keys( + matsCollections.scale.findOne({ name: "scale" }).valuesMap[variable] + ).find( + (key) => + matsCollections.scale.findOne({ name: "scale" }).valuesMap[variable][key] === + scaleStr + ); + const queryTableClause = `from ${databaseRef}.${model}_${grid_scale}_${region} as m0`; var thresholdStr = curve.threshold; const threshold = Object.keys( - matsCollections.threshold.findOne({ name: "threshold" }).valuesMap + matsCollections.threshold.findOne({ name: "threshold" }).valuesMap[variable] ).find( (key) => - matsCollections.threshold.findOne({ name: "threshold" }).valuesMap[key] === - thresholdStr + matsCollections.threshold.findOne({ name: "threshold" }).valuesMap[variable][ + key + ] === thresholdStr ); - const thresholdClause = `and m0.thresh = ${threshold}`; + const thresholdClause = `and m0.trsh = ${threshold / 10000}`; var validTimes; let validTimeClause = ""; var utcCycleStart; @@ -86,18 +93,18 @@ dataDieOff = function (plotParams, plotFunction) { if (forecastLength === matsTypes.ForecastTypes.dieoff) { validTimes = curve["valid-time"] === undefined ? [] : curve["valid-time"]; if (validTimes.length !== 0 && validTimes !== matsTypes.InputTypes.unused) { - validTimeClause = `and floor((m0.valid_time)%(24*3600)/3600) IN(${validTimes})`; + validTimeClause = `and floor((m0.time)%(24*3600)/3600) IN(${validTimes})`; } - dateClause = `and m0.valid_time >= ${fromSecs} and m0.valid_time <= ${toSecs}`; + dateClause = `and m0.time >= ${fromSecs} and m0.time <= ${toSecs}`; } else if (forecastLength === matsTypes.ForecastTypes.utcCycle) { utcCycleStart = curve["utc-cycle-start"] === undefined ? [] : curve["utc-cycle-start"]; if (utcCycleStart.length !== 0 && utcCycleStart !== matsTypes.InputTypes.unused) { - utcCycleStartClause = `and floor(((m0.valid_time) - m0.fcst_len*3600)%(24*3600)/3600) IN(${utcCycleStart})`; // adjust by 1800 seconds to center obs at the top of the hour + utcCycleStartClause = `and floor(((m0.time) - m0.fcst_len*3600)%(24*3600)/3600) IN(${utcCycleStart})`; // adjust by 1800 seconds to center obs at the top of the hour } - dateClause = `and m0.valid_time-m0.fcst_len*3600 >= ${fromSecs} and m0.valid_time-m0.fcst_len*3600 <= ${toSecs}`; + dateClause = `and m0.time-m0.fcst_len*3600 >= ${fromSecs} and m0.time-m0.fcst_len*3600 <= ${toSecs}`; } else { - dateClause = `and m0.valid_time-m0.fcst_len*3600 = ${fromSecs}`; + dateClause = `and m0.time-m0.fcst_len*3600 = ${fromSecs}`; } const statisticSelect = curve.statistic; const statisticOptionsMap = matsCollections.statistic.findOne( @@ -105,7 +112,7 @@ dataDieOff = function (plotParams, plotFunction) { { optionsMap: 1 } ).optionsMap; const statisticClause = - "sum(m0.yy) as hit, sum(m0.yn) as fa, sum(m0.ny) as miss, sum(m0.nn) as cn, group_concat(m0.valid_time, ';', m0.yy, ';', m0.yn, ';', m0.ny, ';', m0.nn order by m0.valid_time) as sub_data, count(m0.yy) as N0"; + "sum(m0.yy) as hit, sum(m0.ny) as fa, sum(m0.yn) as miss, sum(m0.nn) as cn, group_concat(m0.time, ';', m0.yy, ';', m0.ny, ';', m0.yn, ';', m0.nn order by m0.time) as sub_data, count(m0.yy) as N0"; // axisKey is used to determine which axis a curve should use. // This axisKeySet object is used like a set and if a curve has the same // units (axisKey) it will use the same axis. @@ -124,9 +131,9 @@ dataDieOff = function (plotParams, plotFunction) { // prepare the query from the above parameters let statement = "select m0.fcst_len as fcst_lead, " + - "count(distinct m0.valid_time) as N_times, " + - "min(m0.valid_time) as min_secs, " + - "max(m0.valid_time) as max_secs, " + + "count(distinct m0.time) as N_times, " + + "min(m0.time) as min_secs, " + + "max(m0.time) as max_secs, " + "{{statisticClause}} " + "{{queryTableClause}} " + "where 1=1 " + @@ -182,7 +189,14 @@ dataDieOff = function (plotParams, plotFunction) { } else { // this is an error returned by the mysql database error += `Error from verification query:
${queryResult.error}
query:
${statement}
`; - throw new Error(error); + if (error.includes("ER_NO_SUCH_TABLE")) { + throw new Error( + `INFO: The region/scale combination [${regionStr} and ${scaleStr}] is not supported by the database for the model [${model}]. ` + + `Choose a different scale to continue using this region.` + ); + } else { + throw new Error(error); + } } } else { dataFoundForAnyCurve = true; diff --git a/apps/ensemble/server/dataFunctions/data_histogram.js b/apps/ensemble/server/dataFunctions/data_histogram.js index 08e43cd2e6..1ea2f4bb97 100644 --- a/apps/ensemble/server/dataFunctions/data_histogram.js +++ b/apps/ensemble/server/dataFunctions/data_histogram.js @@ -45,8 +45,11 @@ dataHistogram = function (plotParams, plotFunction) { const { diffFrom } = curve; dataFoundForCurve[curveIndex] = true; const { label } = curve; + var { variable } = curve; + const databaseRef = matsCollections.variable.findOne({ name: "variable" }) + .optionsMap[variable]; const model = matsCollections["data-source"].findOne({ name: "data-source" }) - .optionsMap[curve["data-source"]][0]; + .optionsMap[variable][curve["data-source"]][0]; var regionStr = curve.region; const region = Object.keys( matsCollections.region.findOne({ name: "region" }).valuesMap @@ -54,39 +57,43 @@ dataHistogram = function (plotParams, plotFunction) { (key) => matsCollections.region.findOne({ name: "region" }).valuesMap[key] === regionStr ); - const source = curve.truth; - let sourceStr = ""; - if (source !== "All") { - sourceStr = `_${source}`; - } - const queryTableClause = `from ${model}_${region}${sourceStr} as m0`; + var scaleStr = curve.scale; + const grid_scale = Object.keys( + matsCollections.scale.findOne({ name: "scale" }).valuesMap[variable] + ).find( + (key) => + matsCollections.scale.findOne({ name: "scale" }).valuesMap[variable][key] === + scaleStr + ); + const queryTableClause = `from ${databaseRef}.${model}_${grid_scale}_${region} as m0`; var thresholdStr = curve.threshold; const threshold = Object.keys( - matsCollections.threshold.findOne({ name: "threshold" }).valuesMap + matsCollections.threshold.findOne({ name: "threshold" }).valuesMap[variable] ).find( (key) => - matsCollections.threshold.findOne({ name: "threshold" }).valuesMap[key] === - thresholdStr + matsCollections.threshold.findOne({ name: "threshold" }).valuesMap[variable][ + key + ] === thresholdStr ); - const thresholdClause = `and m0.thresh = ${threshold}`; + const thresholdClause = `and m0.trsh = ${threshold / 10000}`; let validTimeClause = ""; const validTimes = curve["valid-time"] === undefined ? [] : curve["valid-time"]; if (validTimes.length !== 0 && validTimes !== matsTypes.InputTypes.unused) { - validTimeClause = `and floor((m0.valid_time)%(24*3600)/3600) IN(${validTimes})`; + validTimeClause = `and floor((m0.time)%(24*3600)/3600) IN(${validTimes})`; } const forecastLength = curve["forecast-length"]; const forecastLengthClause = `and m0.fcst_len = ${forecastLength}`; const dateRange = matsDataUtils.getDateRange(curve["curve-dates"]); const fromSecs = dateRange.fromSeconds; const toSecs = dateRange.toSeconds; - const dateClause = `and m0.valid_time >= ${fromSecs} and m0.valid_time <= ${toSecs}`; + const dateClause = `and m0.time >= ${fromSecs} and m0.time <= ${toSecs}`; const statisticSelect = curve.statistic; const statisticOptionsMap = matsCollections.statistic.findOne( { name: "statistic" }, { optionsMap: 1 } ).optionsMap; const statisticClause = - "sum(m0.yy) as hit, sum(m0.yn) as fa, sum(m0.ny) as miss, sum(m0.nn) as cn, group_concat(m0.valid_time, ';', m0.yy, ';', m0.yn, ';', m0.ny, ';', m0.nn order by m0.valid_time) as sub_data, count(m0.yy) as N0"; + "sum(m0.yy) as hit, sum(m0.ny) as fa, sum(m0.yn) as miss, sum(m0.nn) as cn, group_concat(m0.time, ';', m0.yy, ';', m0.ny, ';', m0.yn, ';', m0.nn order by m0.time) as sub_data, count(m0.yy) as N0"; // axisKey is used to determine which axis a curve should use. // This axisKeySet object is used like a set and if a curve has the same // units (axisKey) it will use the same axis. @@ -105,10 +112,10 @@ dataHistogram = function (plotParams, plotFunction) { // this is a database driven curve, not a difference curve // prepare the query from the above parameters let statement = - "select m0.valid_time as avtime, " + - "count(distinct m0.valid_time) as N_times, " + - "min(m0.valid_time) as min_secs, " + - "max(m0.valid_time) as max_secs, " + + "select m0.time as avtime, " + + "count(distinct m0.time) as N_times, " + + "min(m0.time) as min_secs, " + + "max(m0.time) as max_secs, " + "{{statisticClause}} " + "{{queryTableClause}} " + "where 1=1 " + @@ -164,7 +171,14 @@ dataHistogram = function (plotParams, plotFunction) { } else { // this is an error returned by the mysql database error += `Error from verification query:
${queryResult.error}
query:
${statement}
`; - throw new Error(error); + if (error.includes("ER_NO_SUCH_TABLE")) { + throw new Error( + `INFO: The region/scale combination [${regionStr} and ${scaleStr}] is not supported by the database for the model [${model}]. ` + + `Choose a different scale to continue using this region.` + ); + } else { + throw new Error(error); + } } } else { dataFoundForAnyCurve = true; diff --git a/apps/ensemble/server/dataFunctions/data_perfDiagram.js b/apps/ensemble/server/dataFunctions/data_perfDiagram.js index 12c3fb5d20..037bc7324f 100644 --- a/apps/ensemble/server/dataFunctions/data_perfDiagram.js +++ b/apps/ensemble/server/dataFunctions/data_perfDiagram.js @@ -45,8 +45,11 @@ dataPerformanceDiagram = function (plotParams, plotFunction) { const binClause = matsCollections["bin-parameter"].findOne({ name: "bin-parameter", }).optionsMap[binParam]; + var { variable } = curve; + const databaseRef = matsCollections.variable.findOne({ name: "variable" }) + .optionsMap[variable]; const model = matsCollections["data-source"].findOne({ name: "data-source" }) - .optionsMap[curve["data-source"]][0]; + .optionsMap[variable][curve["data-source"]][0]; var regionStr = curve.region; const region = Object.keys( matsCollections.region.findOne({ name: "region" }).valuesMap @@ -54,12 +57,15 @@ dataPerformanceDiagram = function (plotParams, plotFunction) { (key) => matsCollections.region.findOne({ name: "region" }).valuesMap[key] === regionStr ); - const source = curve.truth; - let sourceStr = ""; - if (source !== "All") { - sourceStr = `_${source}`; - } - const queryTableClause = `from ${model}_${region}${sourceStr} as m0`; + var scaleStr = curve.scale; + const grid_scale = Object.keys( + matsCollections.scale.findOne({ name: "scale" }).valuesMap[variable] + ).find( + (key) => + matsCollections.scale.findOne({ name: "scale" }).valuesMap[variable][key] === + scaleStr + ); + const queryTableClause = `from ${databaseRef}.${model}_${grid_scale}_${region} as m0`; let thresholdClause = ""; let validTimeClause = ""; let forecastLengthClause = ""; @@ -76,18 +82,19 @@ dataPerformanceDiagram = function (plotParams, plotFunction) { ); } const threshold = Object.keys( - matsCollections.threshold.findOne({ name: "threshold" }).valuesMap + matsCollections.threshold.findOne({ name: "threshold" }).valuesMap[variable] ).find( (key) => - matsCollections.threshold.findOne({ name: "threshold" }).valuesMap[key] === - thresholdStr + matsCollections.threshold.findOne({ name: "threshold" }).valuesMap[variable][ + key + ] === thresholdStr ); - thresholdClause = `and m0.thresh = ${threshold}`; + thresholdClause = `and m0.trsh = ${threshold / 10000}`; } if (binParam !== "Valid UTC hour") { const validTimes = curve["valid-time"] === undefined ? [] : curve["valid-time"]; if (validTimes.length > 0 && validTimes !== matsTypes.InputTypes.unused) { - validTimeClause = `and m0.valid_time%(24*3600)/3600 IN(${validTimes})`; + validTimeClause = `and m0.time%(24*3600)/3600 IN(${validTimes})`; } } if (binParam !== "Fcst lead time") { @@ -100,9 +107,9 @@ dataPerformanceDiagram = function (plotParams, plotFunction) { forecastLengthClause = `and m0.fcst_len = ${forecastLength}`; } if (binParam === "Init Date") { - dateString = "m0.valid_time-m0.fcst_len*3600"; + dateString = "m0.time-m0.fcst_len*3600"; } else { - dateString = "m0.valid_time"; + dateString = "m0.time"; } dateClause = `and ${dateString} >= ${fromSecs} and ${dateString} <= ${toSecs}`; const statisticSelect = "PerformanceDiagram"; @@ -122,9 +129,9 @@ dataPerformanceDiagram = function (plotParams, plotFunction) { "count(distinct {{dateString}}) as N_times, " + "min({{dateString}}) as min_secs, " + "max({{dateString}}) as max_secs, " + - "((sum(m0.yy)+0.00)/sum(m0.yy+m0.ny)) as pod, ((sum(m0.yn)+0.00)/sum(m0.yn+m0.yy)) as far, " + - "sum(m0.yy+m0.ny) as oy_all, sum(m0.yn+m0.nn) as on_all, group_concat(m0.valid_time, ';', m0.yy, ';', " + - "m0.yn, ';', m0.ny, ';', m0.nn order by m0.valid_time) as sub_data, count(m0.yy) as N0 " + + "((sum(m0.yy)+0.00)/sum(m0.yy+m0.yn)) as pod, ((sum(m0.ny)+0.00)/sum(m0.ny+m0.yy)) as far, " + + "sum(m0.yy+m0.yn) as oy_all, sum(m0.ny+m0.nn) as on_all, group_concat(m0.time, ';', m0.yy, ';', " + + "m0.ny, ';', m0.yn, ';', m0.nn order by m0.time) as sub_data, count(m0.yy) as N0 " + "{{queryTableClause}} " + "where 1=1 " + "{{dateClause}} " + diff --git a/apps/ensemble/server/dataFunctions/data_series.js b/apps/ensemble/server/dataFunctions/data_series.js index 7a929ba26b..efe9d2e739 100644 --- a/apps/ensemble/server/dataFunctions/data_series.js +++ b/apps/ensemble/server/dataFunctions/data_series.js @@ -47,8 +47,11 @@ dataSeries = function (plotParams, plotFunction) { const curve = curves[curveIndex]; const { diffFrom } = curve; const { label } = curve; + var { variable } = curve; + const databaseRef = matsCollections.variable.findOne({ name: "variable" }) + .optionsMap[variable]; const model = matsCollections["data-source"].findOne({ name: "data-source" }) - .optionsMap[curve["data-source"]][0]; + .optionsMap[variable][curve["data-source"]][0]; var regionStr = curve.region; const region = Object.keys( matsCollections.region.findOne({ name: "region" }).valuesMap @@ -56,29 +59,33 @@ dataSeries = function (plotParams, plotFunction) { (key) => matsCollections.region.findOne({ name: "region" }).valuesMap[key] === regionStr ); - const source = curve.truth; - let sourceStr = ""; - if (source !== "All") { - sourceStr = `_${source}`; - } - const queryTableClause = `from ${model}_${region}${sourceStr} as m0`; + var scaleStr = curve.scale; + const grid_scale = Object.keys( + matsCollections.scale.findOne({ name: "scale" }).valuesMap[variable] + ).find( + (key) => + matsCollections.scale.findOne({ name: "scale" }).valuesMap[variable][key] === + scaleStr + ); + const queryTableClause = `from ${databaseRef}.${model}_${grid_scale}_${region} as m0`; var thresholdStr = curve.threshold; const threshold = Object.keys( - matsCollections.threshold.findOne({ name: "threshold" }).valuesMap + matsCollections.threshold.findOne({ name: "threshold" }).valuesMap[variable] ).find( (key) => - matsCollections.threshold.findOne({ name: "threshold" }).valuesMap[key] === - thresholdStr + matsCollections.threshold.findOne({ name: "threshold" }).valuesMap[variable][ + key + ] === thresholdStr ); - const thresholdClause = `and m0.thresh = ${threshold}`; + const thresholdClause = `and m0.trsh = ${threshold / 10000}`; let validTimeClause = ""; const validTimes = curve["valid-time"] === undefined ? [] : curve["valid-time"]; if (validTimes.length !== 0 && validTimes !== matsTypes.InputTypes.unused) { - validTimeClause = `and floor((m0.valid_time)%(24*3600)/3600) IN(${validTimes})`; + validTimeClause = `and floor((m0.time)%(24*3600)/3600) IN(${validTimes})`; } let forecastLength = curve["forecast-length"]; const forecastLengthClause = `and m0.fcst_len = ${forecastLength}`; - const dateClause = `and m0.valid_time >= ${fromSecs} and m0.valid_time <= ${toSecs}`; + const dateClause = `and m0.time >= ${fromSecs} and m0.time <= ${toSecs}`; const averageStr = curve.average; const averageOptionsMap = matsCollections.average.findOne( { name: "average" }, @@ -91,7 +98,7 @@ dataSeries = function (plotParams, plotFunction) { { optionsMap: 1 } ).optionsMap; const statisticClause = - "sum(m0.yy) as hit, sum(m0.yn) as fa, sum(m0.ny) as miss, sum(m0.nn) as cn, group_concat(m0.valid_time, ';', m0.yy, ';', m0.yn, ';', m0.ny, ';', m0.nn order by m0.valid_time) as sub_data, count(m0.yy) as N0"; + "sum(m0.yy) as hit, sum(m0.ny) as fa, sum(m0.yn) as miss, sum(m0.nn) as cn, group_concat(m0.time, ';', m0.yy, ';', m0.ny, ';', m0.yn, ';', m0.nn order by m0.time) as sub_data, count(m0.yy) as N0"; // axisKey is used to determine which axis a curve should use. // This axisKeySet object is used like a set and if a curve has the same // units (axisKey) it will use the same axis. @@ -110,9 +117,9 @@ dataSeries = function (plotParams, plotFunction) { // prepare the query from the above parameters let statement = "select {{average}} as avtime, " + - "count(distinct m0.valid_time) as N_times, " + - "min(m0.valid_time) as min_secs, " + - "max(m0.valid_time) as max_secs, " + + "count(distinct m0.time) as N_times, " + + "min(m0.time) as min_secs, " + + "max(m0.time) as max_secs, " + "{{statisticClause}} " + "{{queryTableClause}} " + "where 1=1 " + @@ -179,7 +186,14 @@ dataSeries = function (plotParams, plotFunction) { } else { // this is an error returned by the mysql database error += `Error from verification query:
${queryResult.error}
query:
${statement}
`; - throw new Error(error); + if (error.includes("ER_NO_SUCH_TABLE")) { + throw new Error( + `INFO: The region/scale combination [${regionStr} and ${scaleStr}] is not supported by the database for the model [${model}]. ` + + `Choose a different scale to continue using this region.` + ); + } else { + throw new Error(error); + } } } else { dataFoundForAnyCurve = true; diff --git a/apps/ensemble/server/dataFunctions/data_threshold.js b/apps/ensemble/server/dataFunctions/data_threshold.js index 1e8b3b36da..7e5d769ea3 100644 --- a/apps/ensemble/server/dataFunctions/data_threshold.js +++ b/apps/ensemble/server/dataFunctions/data_threshold.js @@ -44,8 +44,11 @@ dataThreshold = function (plotParams, plotFunction) { const curve = curves[curveIndex]; const { diffFrom } = curve; const { label } = curve; + var { variable } = curve; + const databaseRef = matsCollections.variable.findOne({ name: "variable" }) + .optionsMap[variable]; const model = matsCollections["data-source"].findOne({ name: "data-source" }) - .optionsMap[curve["data-source"]][0]; + .optionsMap[variable][curve["data-source"]][0]; var regionStr = curve.region; const region = Object.keys( matsCollections.region.findOne({ name: "region" }).valuesMap @@ -53,31 +56,33 @@ dataThreshold = function (plotParams, plotFunction) { (key) => matsCollections.region.findOne({ name: "region" }).valuesMap[key] === regionStr ); - const source = curve.truth; - let sourceStr = ""; - if (source !== "All") { - sourceStr = `_${source}`; - } - const queryTableClause = `from ${model}_${region}${sourceStr} as m0`; - const thresholdClause = ""; + var scaleStr = curve.scale; + const grid_scale = Object.keys( + matsCollections.scale.findOne({ name: "scale" }).valuesMap[variable] + ).find( + (key) => + matsCollections.scale.findOne({ name: "scale" }).valuesMap[variable][key] === + scaleStr + ); + const queryTableClause = `from ${databaseRef}.${model}_${grid_scale}_${region} as m0`; let validTimeClause = ""; const validTimes = curve["valid-time"] === undefined ? [] : curve["valid-time"]; if (validTimes.length !== 0 && validTimes !== matsTypes.InputTypes.unused) { - validTimeClause = `and floor((m0.valid_time)%(24*3600)/3600) IN(${validTimes})`; + validTimeClause = `and floor((m0.time)%(24*3600)/3600) IN(${validTimes})`; } const forecastLength = curve["forecast-length"]; const forecastLengthClause = `and m0.fcst_len = ${forecastLength}`; const dateRange = matsDataUtils.getDateRange(curve["curve-dates"]); const fromSecs = dateRange.fromSeconds; const toSecs = dateRange.toSeconds; - const dateClause = `and m0.valid_time >= ${fromSecs} and m0.valid_time <= ${toSecs}`; + const dateClause = `and m0.time >= ${fromSecs} and m0.time <= ${toSecs}`; const statisticSelect = curve.statistic; const statisticOptionsMap = matsCollections.statistic.findOne( { name: "statistic" }, { optionsMap: 1 } ).optionsMap; const statisticClause = - "sum(m0.yy) as hit, sum(m0.yn) as fa, sum(m0.ny) as miss, sum(m0.nn) as cn, group_concat(m0.valid_time, ';', m0.yy, ';', m0.yn, ';', m0.ny, ';', m0.nn order by m0.valid_time) as sub_data, count(m0.yy) as N0"; + "sum(m0.yy) as hit, sum(m0.ny) as fa, sum(m0.yn) as miss, sum(m0.nn) as cn, group_concat(m0.time, ';', m0.yy, ';', m0.ny, ';', m0.yn, ';', m0.nn order by m0.time) as sub_data, count(m0.yy) as N0"; // axisKey is used to determine which axis a curve should use. // This axisKeySet object is used like a set and if a curve has the same // units (axisKey) it will use the same axis. @@ -95,15 +100,14 @@ dataThreshold = function (plotParams, plotFunction) { // this is a database driven curve, not a difference curve // prepare the query from the above parameters let statement = - "select m0.thresh/100 as thresh, " + // produces thresholds in inches - "count(distinct m0.valid_time) as N_times, " + - "min(m0.valid_time) as min_secs, " + - "max(m0.valid_time) as max_secs, " + + "select m0.trsh as thresh, " + + "count(distinct m0.time) as N_times, " + + "min(m0.time) as min_secs, " + + "max(m0.time) as max_secs, " + "{{statisticClause}} " + "{{queryTableClause}} " + "where 1=1 " + "{{dateClause}} " + - "{{thresholdClause}} " + "{{validTimeClause}} " + "{{forecastLengthClause}} " + "group by thresh " + @@ -112,7 +116,6 @@ dataThreshold = function (plotParams, plotFunction) { statement = statement.replace("{{statisticClause}}", statisticClause); statement = statement.replace("{{queryTableClause}}", queryTableClause); - statement = statement.replace("{{thresholdClause}}", thresholdClause); statement = statement.replace("{{validTimeClause}}", validTimeClause); statement = statement.replace("{{forecastLengthClause}}", forecastLengthClause); statement = statement.replace("{{dateClause}}", dateClause); @@ -152,7 +155,14 @@ dataThreshold = function (plotParams, plotFunction) { } else { // this is an error returned by the mysql database error += `Error from verification query:
${queryResult.error}
query:
${statement}
`; - throw new Error(error); + if (error.includes("ER_NO_SUCH_TABLE")) { + throw new Error( + `INFO: The region/scale combination [${regionStr} and ${scaleStr}] is not supported by the database for the model [${model}]. ` + + `Choose a different scale to continue using this region.` + ); + } else { + throw new Error(error); + } } } else { dataFoundForAnyCurve = true; diff --git a/apps/ensemble/server/dataFunctions/data_validtime.js b/apps/ensemble/server/dataFunctions/data_validtime.js index 6df0ed4397..006c9be2e6 100644 --- a/apps/ensemble/server/dataFunctions/data_validtime.js +++ b/apps/ensemble/server/dataFunctions/data_validtime.js @@ -44,8 +44,11 @@ dataValidTime = function (plotParams, plotFunction) { const curve = curves[curveIndex]; const { diffFrom } = curve; const { label } = curve; + var { variable } = curve; + const databaseRef = matsCollections.variable.findOne({ name: "variable" }) + .optionsMap[variable]; const model = matsCollections["data-source"].findOne({ name: "data-source" }) - .optionsMap[curve["data-source"]][0]; + .optionsMap[variable][curve["data-source"]][0]; var regionStr = curve.region; const region = Object.keys( matsCollections.region.findOne({ name: "region" }).valuesMap @@ -53,34 +56,38 @@ dataValidTime = function (plotParams, plotFunction) { (key) => matsCollections.region.findOne({ name: "region" }).valuesMap[key] === regionStr ); - const source = curve.truth; - let sourceStr = ""; - if (source !== "All") { - sourceStr = `_${source}`; - } - const queryTableClause = `from ${model}_${region}${sourceStr} as m0`; + var scaleStr = curve.scale; + const grid_scale = Object.keys( + matsCollections.scale.findOne({ name: "scale" }).valuesMap[variable] + ).find( + (key) => + matsCollections.scale.findOne({ name: "scale" }).valuesMap[variable][key] === + scaleStr + ); + const queryTableClause = `from ${databaseRef}.${model}_${grid_scale}_${region} as m0`; var thresholdStr = curve.threshold; const threshold = Object.keys( - matsCollections.threshold.findOne({ name: "threshold" }).valuesMap + matsCollections.threshold.findOne({ name: "threshold" }).valuesMap[variable] ).find( (key) => - matsCollections.threshold.findOne({ name: "threshold" }).valuesMap[key] === - thresholdStr + matsCollections.threshold.findOne({ name: "threshold" }).valuesMap[variable][ + key + ] === thresholdStr ); - const thresholdClause = `and m0.thresh = ${threshold}`; + const thresholdClause = `and m0.trsh = ${threshold / 10000}`; const forecastLength = curve["forecast-length"]; const forecastLengthClause = `and m0.fcst_len = ${forecastLength}`; const dateRange = matsDataUtils.getDateRange(curve["curve-dates"]); const fromSecs = dateRange.fromSeconds; const toSecs = dateRange.toSeconds; - const dateClause = `and m0.valid_time >= ${fromSecs} and m0.valid_time <= ${toSecs}`; + const dateClause = `and m0.time >= ${fromSecs} and m0.time <= ${toSecs}`; const statisticSelect = curve.statistic; const statisticOptionsMap = matsCollections.statistic.findOne( { name: "statistic" }, { optionsMap: 1 } ).optionsMap; const statisticClause = - "sum(m0.yy) as hit, sum(m0.yn) as fa, sum(m0.ny) as miss, sum(m0.nn) as cn, group_concat(m0.valid_time, ';', m0.yy, ';', m0.yn, ';', m0.ny, ';', m0.nn order by m0.valid_time) as sub_data, count(m0.yy) as N0"; + "sum(m0.yy) as hit, sum(m0.ny) as fa, sum(m0.yn) as miss, sum(m0.nn) as cn, group_concat(m0.time, ';', m0.yy, ';', m0.ny, ';', m0.yn, ';', m0.nn order by m0.time) as sub_data, count(m0.yy) as N0"; // axisKey is used to determine which axis a curve should use. // This axisKeySet object is used like a set and if a curve has the same // units (axisKey) it will use the same axis. @@ -98,10 +105,10 @@ dataValidTime = function (plotParams, plotFunction) { // this is a database driven curve, not a difference curve // prepare the query from the above parameters let statement = - "select floor(m0.valid_time%(24*3600)/3600) as hr_of_day, " + - "count(distinct m0.valid_time) as N_times, " + - "min(m0.valid_time) as min_secs, " + - "max(m0.valid_time) as max_secs, " + + "select floor(m0.time%(24*3600)/3600) as hr_of_day, " + + "count(distinct m0.time) as N_times, " + + "min(m0.time) as min_secs, " + + "max(m0.time) as max_secs, " + "{{statisticClause}} " + "{{queryTableClause}} " + "where 1=1 " + @@ -153,7 +160,14 @@ dataValidTime = function (plotParams, plotFunction) { } else { // this is an error returned by the mysql database error += `Error from verification query:
${queryResult.error}
query:
${statement}
`; - throw new Error(error); + if (error.includes("ER_NO_SUCH_TABLE")) { + throw new Error( + `INFO: The region/scale combination [${regionStr} and ${scaleStr}] is not supported by the database for the model [${model}]. ` + + `Choose a different scale to continue using this region.` + ); + } else { + throw new Error(error); + } } } else { dataFoundForAnyCurve = true; diff --git a/apps/ensemble/server/main.js b/apps/ensemble/server/main.js index 498df19815..b05aa6c1ae 100644 --- a/apps/ensemble/server/main.js +++ b/apps/ensemble/server/main.js @@ -13,6 +13,15 @@ import { matsCouchbaseUtils, } from "meteor/randyp:mats-common"; +// This app combines three previous apps, cref, echotop, and vil. +// This is where we store the databases referenced by those apps. +const variableDBNames = { + "Composite Reflectivity": "cref", + "Echo Top": "echotop", + "Vertically Integrated Liquid": "vil", +}; +const variables = Object.keys(variableDBNames); + // determined in doCurveParanms let minDate; let maxDate; @@ -33,7 +42,7 @@ const doPlotParams = function () { options: [""], startDate: minDate, stopDate: maxDate, - superiorNames: ["data-source"], + superiorNames: ["variable", "data-source"], controlButtonCovered: true, default: dstr, controlButtonVisibility: "block", @@ -226,12 +235,11 @@ const doPlotParams = function () { const xOptionsMap = { "Fcst lead time": "select m0.fcst_len as xVal, ", - Threshold: "select m0.thresh/100 as xVal, ", // produces thresholds in in - "Valid UTC hour": "select m0.valid_time%(24*3600)/3600 as xVal, ", - "Init UTC hour": - "select (m0.valid_time-m0.fcst_len*3600)%(24*3600)/3600 as xVal, ", - "Valid Date": "select m0.valid_time as xVal, ", - "Init Date": "select m0.valid_time-m0.fcst_len*3600 as xVal, ", + Threshold: "select m0.trsh as xVal, ", + "Valid UTC hour": "select m0.time%(24*3600)/3600 as xVal, ", + "Init UTC hour": "select (m0.time-m0.fcst_len*3600)%(24*3600)/3600 as xVal, ", + "Valid Date": "select m0.time as xVal, ", + "Init Date": "select m0.time-m0.fcst_len*3600 as xVal, ", }; matsCollections.PlotParams.insert({ @@ -251,11 +259,11 @@ const doPlotParams = function () { const yOptionsMap = { "Fcst lead time": "m0.fcst_len as yVal, ", - Threshold: "m0.thresh/100 as yVal, ", // produces thresholds in in - "Valid UTC hour": "m0.valid_time%(24*3600)/3600 as yVal, ", - "Init UTC hour": "(m0.valid_time-m0.fcst_len*3600)%(24*3600)/3600 as yVal, ", - "Valid Date": "m0.valid_time as yVal, ", - "Init Date": "m0.valid_time-m0.fcst_len*3600 as yVal, ", + Threshold: "m0.trsh as yVal, ", + "Valid UTC hour": "m0.time%(24*3600)/3600 as yVal, ", + "Init UTC hour": "(m0.time-m0.fcst_len*3600)%(24*3600)/3600 as yVal, ", + "Valid Date": "m0.time as yVal, ", + "Init Date": "m0.time-m0.fcst_len*3600 as yVal, ", }; matsCollections.PlotParams.insert({ @@ -266,7 +274,7 @@ const doPlotParams = function () { selected: "", controlButtonCovered: true, unique: false, - default: Object.keys(yOptionsMap)[0], + default: Object.keys(yOptionsMap)[1], controlButtonVisibility: "block", displayOrder: 10, displayPriority: 1, @@ -324,14 +332,16 @@ const doCurveParams = function () { matsCollections[params[cp]].remove({}); } } + const modelOptionsMap = {}; let modelDateRangeMap = {}; const regionModelOptionsMap = {}; const forecastLengthOptionsMap = {}; const thresholdsModelOptionsMap = {}; - const sourceOptionsMap = {}; + const scaleModelOptionsMap = {}; const masterRegionValuesMap = {}; const masterThresholdValuesMap = {}; + const masterScaleValuesMap = {}; try { const rows = matsDataQueryUtils.simplePoolQueryWrapSynchronous( @@ -349,77 +359,129 @@ const doCurveParams = function () { console.log(err.message); } + let rows; + let didx; + try { - const rows = matsDataQueryUtils.simplePoolQueryWrapSynchronous( - modelPool, - "select trsh,description from threshold_descriptions;" - ); - let masterDescription; - let masterTrsh; - for (var j = 0; j < rows.length; j++) { - masterDescription = rows[j].description.trim(); - masterTrsh = rows[j].trsh.trim(); - masterThresholdValuesMap[masterTrsh] = masterDescription; + for (didx = 0; didx < variables.length; didx++) { + masterThresholdValuesMap[variables[didx]] = {}; + rows = matsDataQueryUtils.simplePoolQueryWrapSynchronous( + sumPool, + `select trsh,description from ${ + variableDBNames[variables[didx]] + }.threshold_descriptions;` + ); + var masterDescription; + var masterTrsh; + var trshTemp; + for (var j = 0; j < rows.length; j++) { + masterDescription = rows[j].description.trim(); + trshTemp = rows[j].trsh.trim(); + masterTrsh = trshTemp * 10000; + masterThresholdValuesMap[variables[didx]][masterTrsh] = masterDescription; + } } } catch (err) { console.log(err.message); } try { - const rows = matsDataQueryUtils.simplePoolQueryWrapSynchronous( - sumPool, - "select model,regions,sources,display_text,fcst_lens,trsh,mindate,maxdate from regions_per_model_mats_all_categories order by display_category, display_order;" - ); - for (let i = 0; i < rows.length; i++) { - const model_value = rows[i].model.trim(); - const model = rows[i].display_text.trim(); - modelOptionsMap[model] = [model_value]; - - const rowMinDate = moment.utc(rows[i].mindate * 1000).format("MM/DD/YYYY HH:mm"); - const rowMaxDate = moment.utc(rows[i].maxdate * 1000).format("MM/DD/YYYY HH:mm"); - modelDateRangeMap[model] = { minDate: rowMinDate, maxDate: rowMaxDate }; - - const { sources } = rows[i]; - const sourceArr = sources - .split(",") - .map(Function.prototype.call, String.prototype.trim); - for (var j = 0; j < sourceArr.length; j++) { - sourceArr[j] = sourceArr[j].replace(/'|\[|\]/g, ""); - } - sourceOptionsMap[model] = sourceArr; - - const forecastLengths = rows[i].fcst_lens; - const forecastLengthArr = forecastLengths - .split(",") - .map(Function.prototype.call, String.prototype.trim); - for (var j = 0; j < forecastLengthArr.length; j++) { - forecastLengthArr[j] = forecastLengthArr[j].replace(/'|\[|\]/g, ""); - } - forecastLengthOptionsMap[model] = forecastLengthArr; - - const thresholds = rows[i].trsh; - const thresholdsArrRaw = thresholds - .split(",") - .map(Function.prototype.call, String.prototype.trim); - const thresholdsArr = []; - var dummyThresh; - for (var j = 0; j < thresholdsArrRaw.length; j++) { - dummyThresh = thresholdsArrRaw[j].replace(/'|\[|\]/g, ""); - thresholdsArr.push(masterThresholdValuesMap[dummyThresh]); + for (didx = 0; didx < variables.length; didx++) { + masterScaleValuesMap[variables[didx]] = {}; + rows = matsDataQueryUtils.simplePoolQueryWrapSynchronous( + sumPool, + `select scale,description from ${ + variableDBNames[variables[didx]] + }.scale_descriptions;` + ); + var masterDescription; + var masterScale; + for (var j = 0; j < rows.length; j++) { + masterDescription = rows[j].description.trim(); + masterScale = rows[j].scale.trim(); + masterScaleValuesMap[variables[didx]][masterScale] = masterDescription; } - thresholdsModelOptionsMap[model] = thresholdsArr; - - const { regions } = rows[i]; - const regionsArrRaw = regions - .split(",") - .map(Function.prototype.call, String.prototype.trim); - const regionsArr = []; - var dummyRegion; - for (var j = 0; j < regionsArrRaw.length; j++) { - dummyRegion = regionsArrRaw[j].replace(/'|\[|\]/g, ""); - regionsArr.push(masterRegionValuesMap[dummyRegion]); + } + } catch (err) { + console.log(err.message); + } + + try { + for (didx = 0; didx < variables.length; didx++) { + modelOptionsMap[variables[didx]] = {}; + modelDateRangeMap[variables[didx]] = {}; + forecastLengthOptionsMap[variables[didx]] = {}; + thresholdsModelOptionsMap[variables[didx]] = {}; + scaleModelOptionsMap[variables[didx]] = {}; + regionModelOptionsMap[variables[didx]] = {}; + + rows = matsDataQueryUtils.simplePoolQueryWrapSynchronous( + sumPool, + `select model,regions,display_text,fcst_lens,trsh,scale,mindate,maxdate from ${ + variableDBNames[variables[didx]] + }.regions_per_model_mats_all_categories order by display_category, display_order;` + ); + for (let i = 0; i < rows.length; i++) { + const model_value = rows[i].model.trim(); + const model = rows[i].display_text.trim(); + modelOptionsMap[variables[didx]][model] = [model_value]; + + const rowMinDate = moment + .utc(rows[i].mindate * 1000) + .format("MM/DD/YYYY HH:mm"); + const rowMaxDate = moment + .utc(rows[i].maxdate * 1000) + .format("MM/DD/YYYY HH:mm"); + modelDateRangeMap[variables[didx]][model] = { + minDate: rowMinDate, + maxDate: rowMaxDate, + }; + + const forecastLengths = rows[i].fcst_lens; + const forecastLengthArr = forecastLengths + .split(",") + .map(Function.prototype.call, String.prototype.trim); + for (var j = 0; j < forecastLengthArr.length; j++) { + forecastLengthArr[j] = forecastLengthArr[j].replace(/'|\[|\]/g, ""); + } + forecastLengthOptionsMap[variables[didx]][model] = forecastLengthArr; + + const thresholds = rows[i].trsh; + const thresholdsArrRaw = thresholds + .split(",") + .map(Function.prototype.call, String.prototype.trim); + const thresholdsArr = []; + var dummyThresh; + for (var j = 0; j < thresholdsArrRaw.length; j++) { + dummyThresh = thresholdsArrRaw[j].replace(/'|\[|\]/g, "") * 10000; + thresholdsArr.push(masterThresholdValuesMap[variables[didx]][dummyThresh]); + } + thresholdsModelOptionsMap[variables[didx]][model] = thresholdsArr; + + const scales = rows[i].scale; + const scalesArrRaw = scales + .split(",") + .map(Function.prototype.call, String.prototype.trim); + const scalesArr = []; + var dummyScale; + for (var j = 0; j < scalesArrRaw.length; j++) { + dummyScale = scalesArrRaw[j].replace(/'|\[|\]/g, ""); + scalesArr.push(masterScaleValuesMap[variables[didx]][dummyScale]); + } + scaleModelOptionsMap[variables[didx]][model] = scalesArr; + + const { regions } = rows[i]; + const regionsArrRaw = regions + .split(",") + .map(Function.prototype.call, String.prototype.trim); + const regionsArr = []; + var dummyRegion; + for (var j = 0; j < regionsArrRaw.length; j++) { + dummyRegion = regionsArrRaw[j].replace(/'|\[|\]/g, ""); + regionsArr.push(masterRegionValuesMap[dummyRegion]); + } + regionModelOptionsMap[variables[didx]][model] = regionsArr; } - regionModelOptionsMap[model] = regionsArr; } } catch (err) { console.log(err.message); @@ -442,23 +504,55 @@ const doCurveParams = function () { }); } + if (matsCollections.variable.findOne({ name: "variable" }) === undefined) { + matsCollections.variable.insert({ + name: "variable", + type: matsTypes.InputTypes.select, + optionsMap: variableDBNames, + options: variables, + dates: modelDateRangeMap, + dependentNames: ["data-source"], + controlButtonCovered: true, + default: variables[0], + unique: false, + controlButtonVisibility: "block", + displayOrder: 2, + displayPriority: 1, + displayGroup: 1, + }); + } else { + // it is defined but check for necessary update + var currentParam = matsCollections.variable.findOne({ name: "variable" }); + if (!matsDataUtils.areObjectsEqual(currentParam.dates, modelDateRangeMap)) { + // have to reload variable data + matsCollections.variable.update( + { name: "variable" }, + { + $set: { + dates: modelDateRangeMap, + }, + } + ); + } + } + if (matsCollections["data-source"].findOne({ name: "data-source" }) === undefined) { matsCollections["data-source"].insert({ name: "data-source", type: matsTypes.InputTypes.select, optionsMap: modelOptionsMap, - dates: modelDateRangeMap, - options: Object.keys(modelOptionsMap), + options: Object.keys(modelOptionsMap[variables[0]]), + superiorNames: ["variable"], dependentNames: [ "region", "forecast-length", "threshold", - "truth", + "scale", "dates", "curve-dates", ], controlButtonCovered: true, - default: Object.keys(modelOptionsMap)[0], + default: Object.keys(modelOptionsMap[variables[0]])[0], unique: false, controlButtonVisibility: "block", displayOrder: 3, @@ -468,19 +562,15 @@ const doCurveParams = function () { } else { // it is defined but check for necessary update var currentParam = matsCollections["data-source"].findOne({ name: "data-source" }); - if ( - !matsDataUtils.areObjectsEqual(currentParam.optionsMap, modelOptionsMap) || - !matsDataUtils.areObjectsEqual(currentParam.dates, modelDateRangeMap) - ) { + if (!matsDataUtils.areObjectsEqual(currentParam.optionsMap, modelOptionsMap)) { // have to reload model data matsCollections["data-source"].update( { name: "data-source" }, { $set: { optionsMap: modelOptionsMap, - dates: modelDateRangeMap, - options: Object.keys(modelOptionsMap), - default: Object.keys(modelOptionsMap)[0], + options: Object.keys(modelOptionsMap[variables[0]]), + default: Object.keys(modelOptionsMap[variables[0]])[0], }, } ); @@ -492,12 +582,18 @@ const doCurveParams = function () { name: "region", type: matsTypes.InputTypes.select, optionsMap: regionModelOptionsMap, - options: regionModelOptionsMap[Object.keys(regionModelOptionsMap)[0]], + options: + regionModelOptionsMap[variables[0]][ + Object.keys(regionModelOptionsMap[variables[0]])[0] + ], valuesMap: masterRegionValuesMap, - superiorNames: ["data-source"], + superiorNames: ["variable", "data-source"], controlButtonCovered: true, unique: false, - default: regionModelOptionsMap[Object.keys(regionModelOptionsMap)[0]][0], + default: + regionModelOptionsMap[variables[0]][ + Object.keys(regionModelOptionsMap[variables[0]])[0] + ][0], controlButtonVisibility: "block", displayOrder: 2, displayPriority: 1, @@ -517,8 +613,14 @@ const doCurveParams = function () { $set: { optionsMap: regionModelOptionsMap, valuesMap: masterRegionValuesMap, - options: regionModelOptionsMap[Object.keys(regionModelOptionsMap)[0]], - default: regionModelOptionsMap[Object.keys(regionModelOptionsMap)[0]][0], + options: + regionModelOptionsMap[variables[0]][ + Object.keys(regionModelOptionsMap[variables[0]])[0] + ], + default: + regionModelOptionsMap[variables[0]][ + Object.keys(regionModelOptionsMap[variables[0]])[0] + ][0], }, } ); @@ -587,12 +689,18 @@ const doCurveParams = function () { name: "threshold", type: matsTypes.InputTypes.select, optionsMap: thresholdsModelOptionsMap, - options: thresholdsModelOptionsMap[Object.keys(thresholdsModelOptionsMap)[0]], + options: + thresholdsModelOptionsMap[variables[0]][ + Object.keys(thresholdsModelOptionsMap[variables[0]])[0] + ], valuesMap: masterThresholdValuesMap, - superiorNames: ["data-source"], + superiorNames: ["variable", "data-source"], controlButtonCovered: true, unique: false, - default: thresholdsModelOptionsMap[Object.keys(thresholdsModelOptionsMap)[0]][0], + default: + thresholdsModelOptionsMap[variables[0]][ + Object.keys(thresholdsModelOptionsMap[variables[0]])[0] + ][0], controlButtonVisibility: "block", displayOrder: 1, displayPriority: 1, @@ -616,42 +724,63 @@ const doCurveParams = function () { optionsMap: thresholdsModelOptionsMap, valuesMap: masterThresholdValuesMap, options: - thresholdsModelOptionsMap[Object.keys(thresholdsModelOptionsMap)[0]], + thresholdsModelOptionsMap[variables[0]][ + Object.keys(thresholdsModelOptionsMap[variables[0]])[0] + ], default: - thresholdsModelOptionsMap[Object.keys(thresholdsModelOptionsMap)[0]][0], + thresholdsModelOptionsMap[variables[0]][ + Object.keys(thresholdsModelOptionsMap[variables[0]])[0] + ][0], }, } ); } } - if (matsCollections.truth.find({ name: "truth" }).count() === 0) { - matsCollections.truth.insert({ - name: "truth", + if (matsCollections.scale.findOne({ name: "scale" }) === undefined) { + matsCollections.scale.insert({ + name: "scale", type: matsTypes.InputTypes.select, - optionsMap: sourceOptionsMap, - options: sourceOptionsMap[Object.keys(sourceOptionsMap)[0]], - superiorNames: ["data-source"], + optionsMap: scaleModelOptionsMap, + options: + scaleModelOptionsMap[variables[0]][ + Object.keys(scaleModelOptionsMap[variables[0]])[0] + ], + valuesMap: masterScaleValuesMap, + superiorNames: ["variable", "data-source"], controlButtonCovered: true, unique: false, - default: sourceOptionsMap[Object.keys(sourceOptionsMap)[0]][0], + default: + scaleModelOptionsMap[variables[0]][ + Object.keys(scaleModelOptionsMap[variables[0]])[0] + ][0], controlButtonVisibility: "block", - displayOrder: 3, + displayOrder: 2, displayPriority: 1, displayGroup: 3, }); } else { // it is defined but check for necessary update - var currentParam = matsCollections.truth.findOne({ name: "truth" }); - if (!matsDataUtils.areObjectsEqual(currentParam.optionsMap, sourceOptionsMap)) { - // have to reload truth data - matsCollections.truth.update( - { name: "truth" }, + var currentParam = matsCollections.scale.findOne({ name: "scale" }); + if ( + !matsDataUtils.areObjectsEqual(currentParam.optionsMap, scaleModelOptionsMap) || + !matsDataUtils.areObjectsEqual(currentParam.valuesMap, masterScaleValuesMap) + ) { + // have to reload scale data + matsCollections.scale.update( + { name: "scale" }, { $set: { - optionsMap: sourceOptionsMap, - options: sourceOptionsMap[Object.keys(sourceOptionsMap)[0]], - default: sourceOptionsMap[Object.keys(sourceOptionsMap)[0]][0], + optionsMap: scaleModelOptionsMap, + valuesMap: masterScaleValuesMap, + options: + scaleModelOptionsMap[variables[0]][ + Object.keys(scaleModelOptionsMap[variables[0]])[0] + ], + default: + scaleModelOptionsMap[variables[0]][ + Object.keys(scaleModelOptionsMap[variables[0]])[0] + ][0], }, } ); @@ -666,8 +795,11 @@ const doCurveParams = function () { name: "forecast-length", type: matsTypes.InputTypes.select, optionsMap: forecastLengthOptionsMap, - options: forecastLengthOptionsMap[Object.keys(forecastLengthOptionsMap)[0]], - superiorNames: ["data-source"], + options: + forecastLengthOptionsMap[variables[0]][ + Object.keys(forecastLengthOptionsMap[variables[0]])[0] + ], + superiorNames: ["variable", "data-source"], selected: "", controlButtonCovered: true, unique: false, @@ -692,7 +824,10 @@ const doCurveParams = function () { { $set: { optionsMap: forecastLengthOptionsMap, - options: forecastLengthOptionsMap[Object.keys(forecastLengthOptionsMap)[0]], + options: + forecastLengthOptionsMap[variables[0]][ + Object.keys(forecastLengthOptionsMap[variables[0]])[0] + ], }, } ); @@ -825,40 +960,34 @@ const doCurveParams = function () { if (matsCollections.average.findOne({ name: "average" }) === undefined) { const optionsMap = { - None: [`ceil(${3600}*floor(((m0.valid_time)+${3600}/2)/${3600}))`], - "3hr": [`ceil(${3600 * 3}*floor(((m0.valid_time)+${3600 * 3}/2)/${3600 * 3}))`], - "6hr": [`ceil(${3600 * 6}*floor(((m0.valid_time)+${3600 * 6}/2)/${3600 * 6}))`], - "12hr": [ - `ceil(${3600 * 12}*floor(((m0.valid_time)+${3600 * 12}/2)/${3600 * 12}))`, - ], - "1D": [`ceil(${3600 * 24}*floor(((m0.valid_time)+${3600 * 24}/2)/${3600 * 24}))`], + None: [`ceil(${3600}*floor(((m0.time)+${3600}/2)/${3600}))`], + "3hr": [`ceil(${3600 * 3}*floor(((m0.time)+${3600 * 3}/2)/${3600 * 3}))`], + "6hr": [`ceil(${3600 * 6}*floor(((m0.time)+${3600 * 6}/2)/${3600 * 6}))`], + "12hr": [`ceil(${3600 * 12}*floor(((m0.time)+${3600 * 12}/2)/${3600 * 12}))`], + "1D": [`ceil(${3600 * 24}*floor(((m0.time)+${3600 * 24}/2)/${3600 * 24}))`], "3D": [ - `ceil(${3600 * 24 * 3}*floor(((m0.valid_time)+${3600 * 24 * 3}/2)/${ - 3600 * 24 * 3 - }))`, + `ceil(${3600 * 24 * 3}*floor(((m0.time)+${3600 * 24 * 3}/2)/${3600 * 24 * 3}))`, ], "7D": [ - `ceil(${3600 * 24 * 7}*floor(((m0.valid_time)+${3600 * 24 * 7}/2)/${ - 3600 * 24 * 7 - }))`, + `ceil(${3600 * 24 * 7}*floor(((m0.time)+${3600 * 24 * 7}/2)/${3600 * 24 * 7}))`, ], "30D": [ - `ceil(${3600 * 24 * 30}*floor(((m0.valid_time)+${3600 * 24 * 30}/2)/${ + `ceil(${3600 * 24 * 30}*floor(((m0.time)+${3600 * 24 * 30}/2)/${ 3600 * 24 * 30 }))`, ], "60D": [ - `ceil(${3600 * 24 * 60}*floor(((m0.valid_time)+${3600 * 24 * 60}/2)/${ + `ceil(${3600 * 24 * 60}*floor(((m0.time)+${3600 * 24 * 60}/2)/${ 3600 * 24 * 60 }))`, ], "90D": [ - `ceil(${3600 * 24 * 90}*floor(((m0.valid_time)+${3600 * 24 * 90}/2)/${ + `ceil(${3600 * 24 * 90}*floor(((m0.time)+${3600 * 24 * 90}/2)/${ 3600 * 24 * 90 }))`, ], "180D": [ - `ceil(${3600 * 24 * 180}*floor(((m0.valid_time)+${3600 * 24 * 180}/2)/${ + `ceil(${3600 * 24 * 180}*floor(((m0.time)+${3600 * 24 * 180}/2)/${ 3600 * 24 * 180 }))`, ], @@ -884,12 +1013,11 @@ const doCurveParams = function () { ) { const optionsMap = { "Fcst lead time": "select m0.fcst_len as binVal, ", - Threshold: "select m0.thresh/100 as binVal, ", - "Valid UTC hour": "select m0.valid_time%(24*3600)/3600 as binVal, ", - "Init UTC hour": - "select (m0.valid_time-m0.fcst_len*3600)%(24*3600)/3600 as binVal, ", - "Valid Date": "select m0.valid_time as binVal, ", - "Init Date": "select m0.valid_time-m0.fcst_len*3600 as binVal, ", + Threshold: "select m0.trsh as binVal, ", + "Valid UTC hour": "select m0.time%(24*3600)/3600 as binVal, ", + "Init UTC hour": "select (m0.time-m0.fcst_len*3600)%(24*3600)/3600 as binVal, ", + "Valid Date": "select m0.time as binVal, ", + "Init Date": "select m0.time-m0.fcst_len*3600 as binVal, ", }; matsCollections["bin-parameter"].insert({ @@ -907,23 +1035,27 @@ const doCurveParams = function () { unique: false, default: Object.keys(optionsMap)[4], controlButtonVisibility: "block", - displayOrder: 3, + displayOrder: 1, displayPriority: 1, displayGroup: 6, }); } // determine date defaults for dates and curveDates - const defaultDataSource = matsCollections["data-source"].findOne( - { name: "data-source" }, + const defaultDb = matsCollections.variable.findOne( + { name: "variable" }, { default: 1 } ).default; - modelDateRangeMap = matsCollections["data-source"].findOne( - { name: "data-source" }, + modelDateRangeMap = matsCollections.variable.findOne( + { name: "variable" }, { dates: 1 } ).dates; - minDate = modelDateRangeMap[defaultDataSource].minDate; - maxDate = modelDateRangeMap[defaultDataSource].maxDate; + const defaultDataSource = matsCollections["data-source"].findOne( + { name: "data-source" }, + { default: 1 } + ).default; + minDate = modelDateRangeMap[variables[0]][defaultDataSource].minDate; + maxDate = modelDateRangeMap[variables[0]][defaultDataSource].maxDate; // need to turn the raw max and min from the metadata into the last valid month of data const newDateRange = matsParamUtils.getMinMaxDates(minDate, maxDate); @@ -950,7 +1082,7 @@ const doCurveParams = function () { options: Object.keys(optionsMap).sort(), startDate: minDate, stopDate: maxDate, - superiorNames: ["data-source"], + superiorNames: ["variable", "data-source"], controlButtonCovered: true, unique: false, default: dstr, @@ -1006,23 +1138,25 @@ const doCurveTextPatterns = function () { ["", "label", ": "], ["", "data-source", " in "], ["", "region", ", "], - ["", "threshold", " "], - ["", "statistic", ", "], + ["", "scale", " "], + ["", "variable", " "], + ["", "statistic", " at "], + ["", "threshold", ", "], ["fcst_len: ", "forecast-length", "h, "], ["valid-time: ", "valid-time", ", "], - ["avg: ", "average", ", "], - ["", "truth", ""], + ["avg: ", "average", ""], ], displayParams: [ "label", + "variable", "data-source", "region", "statistic", "threshold", + "scale", "average", "forecast-length", "valid-time", - "truth", ], groupSize: 6, }); @@ -1032,24 +1166,26 @@ const doCurveTextPatterns = function () { ["", "label", ": "], ["", "data-source", " in "], ["", "region", ", "], - ["", "threshold", " "], - ["", "statistic", ", "], + ["", "scale", " "], + ["", "variable", " "], + ["", "statistic", " at "], + ["", "threshold", ", "], ["", "dieoff-type", ", "], ["valid-time: ", "valid-time", ", "], ["start utc: ", "utc-cycle-start", ", "], - ["", "truth", ", "], ["", "curve-dates", ""], ], displayParams: [ "label", + "variable", "data-source", "region", "statistic", "threshold", + "scale", "dieoff-type", "valid-time", "utc-cycle-start", - "truth", "curve-dates", ], groupSize: 6, @@ -1060,20 +1196,22 @@ const doCurveTextPatterns = function () { ["", "label", ": "], ["", "data-source", " in "], ["", "region", ", "], + ["", "scale", " "], + ["", "variable", " "], ["", "statistic", ", "], ["fcst_len: ", "forecast-length", "h, "], ["valid-time: ", "valid-time", ", "], - ["", "truth", ", "], ["", "curve-dates", ""], ], displayParams: [ "label", + "variable", "data-source", "region", "statistic", + "scale", "forecast-length", "valid-time", - "truth", "curve-dates", ], groupSize: 6, @@ -1084,20 +1222,22 @@ const doCurveTextPatterns = function () { ["", "label", ": "], ["", "data-source", " in "], ["", "region", ", "], - ["", "threshold", " "], - ["", "statistic", ", "], + ["", "scale", " "], + ["", "variable", " "], + ["", "statistic", " at "], + ["", "threshold", ", "], ["fcst_len: ", "forecast-length", "h, "], - ["", "truth", ", "], ["", "curve-dates", ""], ], displayParams: [ "label", + "variable", "data-source", "region", "statistic", "threshold", + "scale", "forecast-length", - "truth", "curve-dates", ], groupSize: 6, @@ -1108,19 +1248,21 @@ const doCurveTextPatterns = function () { ["", "label", ": "], ["", "data-source", " in "], ["", "region", ", "], - ["", "threshold", " "], - ["", "statistic", ", "], - ["start utc: ", "utc-cycle-start", ", "], - ["", "truth", ""], + ["", "scale", " "], + ["", "variable", " "], + ["", "statistic", " at "], + ["", "threshold", ", "], + ["start utc: ", "utc-cycle-start", ""], ], displayParams: [ "label", + "variable", "data-source", "region", "statistic", "threshold", + "scale", "utc-cycle-start", - "truth", ], groupSize: 6, }); @@ -1130,20 +1272,22 @@ const doCurveTextPatterns = function () { ["", "label", ": "], ["", "data-source", " in "], ["", "region", ", "], - ["", "threshold", " "], + ["", "scale", " "], + ["", "variable", " at "], + ["", "threshold", ", "], ["fcst_len: ", "forecast-length", "h, "], ["valid-time: ", "valid-time", ", "], - ["", "truth", ", "], ["", "curve-dates", ""], ], displayParams: [ "label", + "variable", "data-source", "region", "threshold", + "scale", "forecast-length", "valid-time", - "truth", "bin-parameter", "curve-dates", ], @@ -1155,22 +1299,24 @@ const doCurveTextPatterns = function () { ["", "label", ": "], ["", "data-source", " in "], ["", "region", ", "], - ["", "threshold", " "], - ["", "statistic", ", "], + ["", "scale", " "], + ["", "variable", " "], + ["", "statistic", " at "], + ["", "threshold", ", "], ["fcst_len: ", "forecast-length", "h, "], ["valid-time: ", "valid-time", ", "], - ["", "truth", ", "], ["", "curve-dates", ""], ], displayParams: [ "label", + "variable", "data-source", "region", "statistic", "threshold", + "scale", "forecast-length", "valid-time", - "truth", "curve-dates", ], groupSize: 6, @@ -1181,21 +1327,23 @@ const doCurveTextPatterns = function () { ["", "label", ": "], ["", "data-source", " in "], ["", "region", ", "], - ["", "threshold", " "], - ["", "statistic", ", "], + ["", "scale", " "], + ["", "variable", " "], + ["", "statistic", " at "], + ["", "threshold", ", "], ["fcst_len: ", "forecast-length", "h, "], - ["valid-time: ", "valid-time", ", "], - ["", "truth", ""], + ["valid-time: ", "valid-time", ""], ], displayParams: [ "label", + "variable", "data-source", "region", "statistic", "threshold", + "scale", "forecast-length", "valid-time", - "truth", ], groupSize: 6, }); @@ -1205,21 +1353,23 @@ const doCurveTextPatterns = function () { ["", "label", ": "], ["", "data-source", " in "], ["", "region", ", "], - ["", "threshold", " "], - ["", "statistic", ", "], + ["", "scale", " "], + ["", "variable", " "], + ["", "statistic", " at "], + ["", "threshold", ", "], ["fcst_len: ", "forecast-length", "h, "], - ["valid-time: ", "valid-time", ", "], - ["", "truth", ""], + ["valid-time: ", "valid-time", ""], ], displayParams: [ "label", + "variable", "data-source", "region", "statistic", "threshold", + "scale", "forecast-length", "valid-time", - "truth", ], groupSize: 6, }); @@ -1382,23 +1532,6 @@ Meteor.startup(function () { allPools.push({ pool: "metadataPool", role: matsTypes.DatabaseRoles.META_DATA }); } - const modelSettings = matsCollections.Databases.findOne( - { role: matsTypes.DatabaseRoles.MODEL_DATA, status: "active" }, - { - host: 1, - port: 1, - user: 1, - password: 1, - database: 1, - connectionLimit: 1, - } - ); - // the pool is intended to be global - if (modelSettings) { - modelPool = mysql.createPool(modelSettings); - allPools.push({ pool: "modelPool", role: matsTypes.DatabaseRoles.MODEL_DATA }); - } - const sumSettings = matsCollections.Databases.findOne( { role: matsTypes.DatabaseRoles.SUMS_DATA, @@ -1423,10 +1556,13 @@ Meteor.startup(function () { const mdr = new matsTypes.MetaDataDBRecord("metadataPool", "mats_common", [ "region_descriptions", ]); - mdr.addRecord("modelPool", "precip_mesonets2", ["threshold_descriptions"]); - mdr.addRecord("sumPool", "precip_mesonets2_sums", [ - "regions_per_model_mats_all_categories", - ]); + for (let didx = 0; didx < variables.length; didx++) { + mdr.addRecord("sumPool", variableDBNames[variables[didx]], [ + "threshold_descriptions", + "scale_descriptions", + "regions_per_model_mats_all_categories", + ]); + } try { matsMethods.resetApp({ appPools: allPools, From e6138737407991f1b2952e20be1f0dfaaa1a5759 Mon Sep 17 00:00:00 2001 From: Molly Smith Date: Tue, 13 Jun 2023 13:50:01 -0600 Subject: [PATCH 03/50] Updated static HTML templates --- static/applist.json | 193 ++++++++++++++++++++++++----------------- static/index.html | 5 +- static/mats.html | 5 +- static/metexpress.html | 2 +- 4 files changed, 121 insertions(+), 84 deletions(-) diff --git a/static/applist.json b/static/applist.json index e6162de5b3..66db24bfd0 100644 --- a/static/applist.json +++ b/static/applist.json @@ -1,81 +1,112 @@ -[{ - "app": "upperair", - "displayName": "Upper Air (RAOBS)", - "group": "Upper Air" -}, { - "app": "aircraft", - "displayName": "Upper Air (AMDAR)", - "group": "Upper Air" -}, { - "app": "anomalycor", - "displayName": "Anomaly Correlation", - "group": "Upper Air" -}, { - "app": "ceiling", - "displayName": "Ceiling", - "group": "Ceiling and Visibility" -}, { - "app": "ceiling15", - "displayName": "Ceiling 15 Min", - "group": "Ceiling and Visibility" -}, { - "app": "visibility", - "displayName": "Visibility", - "group": "Ceiling and Visibility" -}, { - "app": "visibility15", - "displayName": "Visibility 15 Min", - "group": "Ceiling and Visibility" -}, { - "app": "surface", - "displayName": "Surface", - "group": "Surface" -}, { - "app": "landuse", - "displayName": "Surface Land Use", - "group": "Surface" -}, { - "app": "surfrad", - "displayName": "Surface Radiation", - "group": "Surface" -}, { - "app": "precipGauge", - "displayName": "AQPI Precipitation", - "group": "Precipitation" -}, { - "app": "precipitation24hr", - "displayName": "24 Hour Precipitation", - "group": "Precipitation" -}, { - "app": "precipitationSub24hr", - "displayName": "Sub 24 Hour Precipitation", - "group": "Precipitation" -}, { - "app": "compositeReflectivity", - "displayName": "Composite Reflectivity", - "group": "Radar" -}, { - "app": "echotop", - "displayName": "Echo Top", - "group": "Radar" -}, { - "app": "vil", - "displayName": "Vertically Integrated Liquid", - "group": "Radar" -}, { - "app": "wfip2", - "displayName": "Wfip2", - "group": "Experimental" -}, { - "app": "met-upperair", - "displayName": "MET Upper Air", - "group": "MET Express" -}, { - "app": "met-anomalycor", - "displayName": "MET Anomaly Correlation", - "group": "MET Express" -}, { - "app": "met-surface", - "displayName": "MET Surface", - "group": "MET Express" -}] +[ + { + "app": "upperair", + "title": "Upper Air", + "group": "Upper Air" + }, + { + "app": "met-upperair", + "title": "MET Upper Air", + "group": "Upper Air" + }, + { + "app": "met-anomalycor", + "title": "MET Anomaly Correlation", + "group": "Upper Air" + }, + { + "app": "ceil-vis", + "title": "Ceiling and Visibility", + "group": "Ceiling and Visibility" + }, + { + "app": "cb-ceiling", + "title": "CB-Ceiling", + "group": "Ceiling and Visibility" + }, + { + "app": "ceil-vis15", + "title": "15 Minute Ceiling and Visibility", + "group": "Ceiling and Visibility" + }, + { + "app": "surface", + "title": "Surface", + "group": "Surface" + }, + { + "app": "met-surface", + "title": "MET Surface", + "group": "Surface" + }, + { + "app": "landuse", + "title": "Surface Land Use", + "group": "Surface" + }, + { + "app": "surfrad", + "title": "Surface Radiation", + "group": "Surface" + }, + { + "app": "met-airquality", + "title": "MET Air Quality", + "group": "Surface" + }, + { + "app": "precipAccum", + "title": "24 Hour / Sub 24 Hour Precipitation", + "group": "Precipitation By Accumulation Interval" + }, + { + "app": "precipGauge", + "title": "Gauge Precipitation", + "group": "Precipitation By Lead Time" + }, + { + "app": "precipitation1hr", + "title": "1 Hour Precipitation", + "group": "Precipitation By Lead Time" + }, + { + "app": "met-precip", + "title": "MET Precipitation", + "group": "Precipitation By Lead Time" + }, + { + "app": "ptype", + "title": "Precipitation Type", + "group": "Precipitation Type" + }, + { + "app": "radar", + "title": "Radar", + "group": "Radar" + }, + { + "app": "ensemble", + "title": "Ensemble", + "group": "Ensemble" + }, + { + "app": "met-ensemble", + "title": "MET Ensemble", + "group": "Ensemble" + }, + { + "app": "scorecard", + "title": "Scorecard", + "group": "Miscellaneous" + }, + { + "app": "met-cyclone", + "title": "MET Cyclone", + "group": "Miscellaneous" + }, + { + "app": "met-object", + "title": "MET Objects", + "group": "Miscellaneous" + } +] diff --git a/static/index.html b/static/index.html index 63e77e6c7f..e2066a4cd1 100644 --- a/static/index.html +++ b/static/index.html @@ -47,9 +47,12 @@ success(function (data) { for (var di = 0; di < data.length; di++) { data[di].itemColor = '#3366bb'; - if (data[di].group.startsWith("MET")) { + if (data[di].group.startsWith("met-")) { data[di].itemColor = 'darkorchid'; } + if (data[di].group.startsWith("cb-")) { + data[di].itemColor = 'teal'; + } if ($scope.items[data[di].group] == null) { $scope.items[data[di].group] = [data[di]]; $scope.groups.push(data[di].group); diff --git a/static/mats.html b/static/mats.html index 63e77e6c7f..e2066a4cd1 100644 --- a/static/mats.html +++ b/static/mats.html @@ -47,9 +47,12 @@ success(function (data) { for (var di = 0; di < data.length; di++) { data[di].itemColor = '#3366bb'; - if (data[di].group.startsWith("MET")) { + if (data[di].group.startsWith("met-")) { data[di].itemColor = 'darkorchid'; } + if (data[di].group.startsWith("cb-")) { + data[di].itemColor = 'teal'; + } if ($scope.items[data[di].group] == null) { $scope.items[data[di].group] = [data[di]]; $scope.groups.push(data[di].group); diff --git a/static/metexpress.html b/static/metexpress.html index 32a6840327..63b7383824 100644 --- a/static/metexpress.html +++ b/static/metexpress.html @@ -47,7 +47,7 @@ success(function (data) { for (var di = 0; di < data.length; di++) { - if (data[di].group.startsWith("MET")) { + if (data[di].group.startsWith("met-")) { data[di].itemColor = '#3366bb'; if ($scope.items[data[di].group] == null) { $scope.items[data[di].group] = [data[di]]; From fb30161f050eae24d6ccd2e8abed70690d6d98ec Mon Sep 17 00:00:00 2001 From: Molly Smith Date: Tue, 13 Jun 2023 13:58:29 -0600 Subject: [PATCH 04/50] Updated static HTML templates (correctly this time) --- static/index.html | 4 ++-- static/mats.html | 4 ++-- static/metexpress.html | 2 +- 3 files changed, 5 insertions(+), 5 deletions(-) diff --git a/static/index.html b/static/index.html index e2066a4cd1..52a6261cc3 100644 --- a/static/index.html +++ b/static/index.html @@ -47,10 +47,10 @@ success(function (data) { for (var di = 0; di < data.length; di++) { data[di].itemColor = '#3366bb'; - if (data[di].group.startsWith("met-")) { + if (data[di].app.startsWith("met-")) { data[di].itemColor = 'darkorchid'; } - if (data[di].group.startsWith("cb-")) { + if (data[di].app.startsWith("cb-")) { data[di].itemColor = 'teal'; } if ($scope.items[data[di].group] == null) { diff --git a/static/mats.html b/static/mats.html index e2066a4cd1..52a6261cc3 100644 --- a/static/mats.html +++ b/static/mats.html @@ -47,10 +47,10 @@ success(function (data) { for (var di = 0; di < data.length; di++) { data[di].itemColor = '#3366bb'; - if (data[di].group.startsWith("met-")) { + if (data[di].app.startsWith("met-")) { data[di].itemColor = 'darkorchid'; } - if (data[di].group.startsWith("cb-")) { + if (data[di].app.startsWith("cb-")) { data[di].itemColor = 'teal'; } if ($scope.items[data[di].group] == null) { diff --git a/static/metexpress.html b/static/metexpress.html index 63b7383824..de4974a16e 100644 --- a/static/metexpress.html +++ b/static/metexpress.html @@ -47,7 +47,7 @@ success(function (data) { for (var di = 0; di < data.length; di++) { - if (data[di].group.startsWith("met-")) { + if (data[di].app.startsWith("met-")) { data[di].itemColor = '#3366bb'; if ($scope.items[data[di].group] == null) { $scope.items[data[di].group] = [data[di]]; From c3bc6ab83be6b16e124f32c2eb05c9a92d216bca Mon Sep 17 00:00:00 2001 From: Molly Smith Date: Tue, 13 Jun 2023 15:41:20 -0600 Subject: [PATCH 05/50] Fixed links on static home pages --- static/index.html | 14 ++++++-------- static/mats.html | 14 ++++++-------- static/metexpress.html | 10 ++++------ 3 files changed, 16 insertions(+), 22 deletions(-) diff --git a/static/index.html b/static/index.html index 52a6261cc3..0124074512 100644 --- a/static/index.html +++ b/static/index.html @@ -142,7 +142,7 @@ style="color:white">U.S. Department of Commerce
  • National Oceanic and Atmospheric Administration
    • -
  • NOAA Research
    • @@ -172,7 +172,7 @@ @@ -172,7 +172,7 @@