From 054fa0dfa398a5760f0b8fb1fa8974850958d2c0 Mon Sep 17 00:00:00 2001 From: Vincent Q Thai <70456187+vthai321@users.noreply.github.com> Date: Mon, 22 Apr 2024 16:53:57 -0700 Subject: [PATCH 01/44] Grant Dummy Operators Access to Dummy Property Field (#2572) This is a minor change that allows dummy operators, from the workflow parser, the ability to access the dummy properties field. In the future, the workflow parser will take advantage of the dummy property feature to describe properties of equivalent operators from other workflows that aren't currently present in Texera. Below is an image of what this functionality looks like. ![Capture](https://github.com/Texera/texera/assets/70456187/0c8a0b13-4e2c-48d2-b4d7-f3de52af4f0e) Co-authored-by: Xiaozhen Liu --- .../operator-property-edit-frame.component.ts | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/core/gui/src/app/workspace/component/property-editor/operator-property-edit-frame/operator-property-edit-frame.component.ts b/core/gui/src/app/workspace/component/property-editor/operator-property-edit-frame/operator-property-edit-frame.component.ts index 4e939f697b0..30d23d8b3d6 100644 --- a/core/gui/src/app/workspace/component/property-editor/operator-property-edit-frame/operator-property-edit-frame.component.ts +++ b/core/gui/src/app/workspace/component/property-editor/operator-property-edit-frame/operator-property-edit-frame.component.ts @@ -396,9 +396,12 @@ export class OperatorPropertyEditFrameComponent implements OnInit, OnChanges, On }; } - // Disable dummy property list for all operators + // Disable dummy property list for all operators, except for dummy operator. if (mappedField.key === "dummyPropertyList") { mappedField.hide = true; + if (this.currentOperatorSchema?.operatorType === "Dummy") { + mappedField.hide = false; + } mappedField.expressionProperties = { "templateOptions.disabled": () => true, "templateOptions.readonly": () => true, From 325ea479625a6cf95ba13c9f5fba99f99d5ae452 Mon Sep 17 00:00:00 2001 From: Bob Bai <43344272+bobbai00@users.noreply.github.com> Date: Wed, 24 Apr 2024 08:22:35 -0700 Subject: [PATCH 02/44] Generate dataset version name based on number of versions and user-provided description (#2610) This PR introduces the generation of dataset version name. When creating a new version of a dataset, the dataset version name is **no longer required** The generation rule and format are as follows: Assume there are `n` existing versions: - If user provides the version description, the version name would be `v{n+1} - {user-provided description}` - if user doesn't provide anything, the version name would simply be `v{n+1}` The generation happens on the backend. --- .../user/dataset/DatasetResource.scala | 24 ++++++++++++++++++- .../user-dataset-version-creator.component.ts | 21 ++++++++-------- 2 files changed, 34 insertions(+), 11 deletions(-) diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/web/resource/dashboard/user/dataset/DatasetResource.scala b/core/amber/src/main/scala/edu/uci/ics/texera/web/resource/dashboard/user/dataset/DatasetResource.scala index 3797ac53d41..5da0a2925c2 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/web/resource/dashboard/user/dataset/DatasetResource.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/web/resource/dashboard/user/dataset/DatasetResource.scala @@ -142,6 +142,27 @@ object DatasetResource { ) } + // the format of dataset version name is: v{#n} - {user provided dataset version name}. e.g. v10 - new version + private def generateDatasetVersionName( + ctx: DSLContext, + did: UInteger, + userProvidedVersionName: String + ): String = { + val numberOfExistingVersions = ctx + .selectFrom(DATASET_VERSION) + .where(DATASET_VERSION.DID.eq(did)) + .fetch() + .size() + + val res = if (userProvidedVersionName == "") { + "v" + (numberOfExistingVersions + 1).toString + } else { + "v" + (numberOfExistingVersions + 1).toString + " - " + userProvidedVersionName + } + + res + } + // this function retrieve the latest DatasetVersion from DB // the latest here means the one with latest creation time // read access will be checked @@ -174,7 +195,7 @@ object DatasetResource { ctx: DSLContext, did: UInteger, uid: UInteger, - versionName: String, + userProvidedVersionName: String, multiPart: FormDataMultiPart ): Option[DashboardDatasetVersion] = { @@ -196,6 +217,7 @@ object DatasetResource { // for file:remove, the value would be filepath1,filepath2 val fields = multiPart.getFields().keySet().iterator() + val versionName = generateDatasetVersionName(ctx, did, userProvidedVersionName) val commitHash = GitVersionControlLocalFileStorage.withCreateVersion( datasetPath, versionName, diff --git a/core/gui/src/app/dashboard/user/component/user-dataset/user-dataset-explorer/user-dataset-version-creator/user-dataset-version-creator.component.ts b/core/gui/src/app/dashboard/user/component/user-dataset/user-dataset-explorer/user-dataset-version-creator/user-dataset-version-creator.component.ts index de676e736d5..bc52a2bf65d 100644 --- a/core/gui/src/app/dashboard/user/component/user-dataset/user-dataset-explorer/user-dataset-version-creator/user-dataset-version-creator.component.ts +++ b/core/gui/src/app/dashboard/user/component/user-dataset/user-dataset-explorer/user-dataset-version-creator/user-dataset-version-creator.component.ts @@ -58,11 +58,12 @@ export class UserDatasetVersionCreatorComponent implements OnInit { ? [ // Fields when isCreatingVersion is true { - key: "name", + key: "versionDescription", type: "input", + defaultValue: "", templateOptions: { - label: "Name", - required: true, + label: "Describe the new version", + required: false, }, }, ] @@ -85,12 +86,12 @@ export class UserDatasetVersionCreatorComponent implements OnInit { }, }, { - key: "versionName", + key: "versionDescription", type: "input", - defaultValue: "v1", + defaultValue: "", templateOptions: { - label: "Initial Version Name", - required: true, + label: "Version Description", + required: false, }, }, ]; @@ -135,13 +136,13 @@ export class UserDatasetVersionCreatorComponent implements OnInit { this.isUploading = true; if (this.isCreatingVersion && this.baseVersion) { - const versionName = this.form.get("name")?.value; + const versionName = this.form.get("versionDescription")?.value; this.datasetService .createDatasetVersion(this.baseVersion?.did, versionName, this.removedFilePaths, this.newUploadFiles) .pipe(untilDestroyed(this)) .subscribe({ next: res => { - this.notificationService.success(`Version '${versionName}' Created`); + this.notificationService.success("Version Created"); this.datasetOrVersionCreationID.emit(res.dvid); this.isUploading = false; }, @@ -160,7 +161,7 @@ export class UserDatasetVersionCreatorComponent implements OnInit { creationTime: undefined, versionHierarchy: undefined, }; - const initialVersionName = this.form.get("versionName")?.value; + const initialVersionName = this.form.get("versionDescription")?.value; // do the name sanitization From 5def81f9068342bf21c29b0c7f9fdf4b37e579c5 Mon Sep 17 00:00:00 2001 From: Xiaozhen Liu Date: Wed, 24 Apr 2024 14:11:56 -0700 Subject: [PATCH 03/44] Enable Fine-grained Property Panel Shared Editing (#2617) #2014 disabled `UpdateYTypeFromObject` when updating the content of the properties of an operator. This caused the issues described in #2608 / #2613. This PR enables this function again because we cannot see the incompatibility problem with formly and `UpdateYTypeFromObject` anymore, and enabling this update logic will solve the issue of UDF code not being saved. --- .../service/workflow-graph/model/workflow-graph.ts | 12 +++++------- 1 file changed, 5 insertions(+), 7 deletions(-) diff --git a/core/gui/src/app/workspace/service/workflow-graph/model/workflow-graph.ts b/core/gui/src/app/workspace/service/workflow-graph/model/workflow-graph.ts index eff1c8d9cf1..0a073c82049 100644 --- a/core/gui/src/app/workspace/service/workflow-graph/model/workflow-graph.ts +++ b/core/gui/src/app/workspace/service/workflow-graph/model/workflow-graph.ts @@ -811,14 +811,12 @@ export class WorkflowGraph { if (!this.hasOperator(operatorID)) { throw new Error(`operator with ID ${operatorID} doesn't exist`); } - // - // const previousProperty = this.getSharedOperatorType(operatorID).get( - // "operatorProperties" - // ) as YType; + + const previousProperty = this.getSharedOperatorType(operatorID).get( + "operatorProperties" + ) as YType; // set the new copy back to the operator ID map - // TODO: we temporarily disable this due to Yjs update causing issues in Formly. - this.getSharedOperatorType(operatorID).set("operatorProperties", createYTypeFromObject(newProperty)); - // updateYTypeFromObject(previousProperty, newProperty); + updateYTypeFromObject(previousProperty, newProperty); } public setPortProperty(operatorPortID: LogicalPort, newProperty: object) { From 1e600081f0cd0ce5875fb8ae3dc7c81f07ed40a2 Mon Sep 17 00:00:00 2001 From: Yicong Huang <17627829+Yicong-Huang@users.noreply.github.com> Date: Fri, 26 Apr 2024 09:40:56 -0700 Subject: [PATCH 04/44] Add ICDE 2024 workshop paper and SIGMOD 2024 demo paper (#2619) - Add publication "Data Science Tasks Implemented with Scripts versus GUI-Based Workflows: The Good, the Bad, and the Ugly" - Add publication "Demonstration of Udon: Line-by-line Debugging of User-Defined Functions in Data Workflows" --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index 50afbd5ff76..a0accbb3297 100644 --- a/README.md +++ b/README.md @@ -62,6 +62,8 @@ The following is a workflow formulated using the Texera GUI in a Web browser, wh ![Sample Texera Workflow](https://user-images.githubusercontent.com/12926365/171459157-1792971d-a31f-49e7-ab98-6f3b9ead9f5b.png) ## Publications (Computer Science): +* (3/2024) Demonstration of Udon: Line-by-line Debugging of User-Defined Functions in Data Workflows, Yicong Huang, Zuozhi Wang, and Chen Li, to appear in SIGMOD 2024 Demo. +* (2/2024) Data Science Tasks Implemented with Scripts versus GUI-Based Workflows: The Good, the Bad, and the Ugly, Alexander K Taylor, Yicong Huang, Junheng Hao, Xinyuan Lin, Xiusi Chen, Wei Wang, and Chen Li, to appear in ICDE 2024 DataPlat Workshop. * (8/2023) Building a Collaborative Data Analytics System: Opportunities and Challenges, Zuozhi Wang, Chen Li, in Tutorial at VLDB 2023 [PDF](https://www.vldb.org/pvldb/vol16/p3898-wang.pdf), [Slides](https://chenli.ics.uci.edu/files/vldb2023-texera-tutorial.pdf). * (8/2023) Udon: Efficient Debugging of User-Defined Functions in Big Data Systems with Line-by-Line Control, Yicong Huang, Zuozhi Wang, and Chen Li, in SIGMOD 2024 [PDF](https://dl.acm.org/doi/10.1145/3626712). * (8/2023) Improving Iterative Analytics in GUI-Based Data-Processing Systems with Visualization, From 9ffa898814e159da7552bc325de9e7b911839f79 Mon Sep 17 00:00:00 2001 From: Yicong Huang <17627829+Yicong-Huang@users.noreply.github.com> Date: Fri, 26 Apr 2024 10:38:02 -0700 Subject: [PATCH 05/44] Update system statistics on README (#2621) --- README.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index a0accbb3297..d43a9a54edb 100644 --- a/README.md +++ b/README.md @@ -20,12 +20,12 @@

- Static Badge + Static Badge Static Badge - Static Badge - Static Badge - Static Badge - Static Badge + Static Badge + Static Badge + Static Badge + Static Badge Static Badge

From 1f519856b4c73c81acf4199f7e08aa2a1e54956a Mon Sep 17 00:00:00 2001 From: Yicong Huang <17627829+Yicong-Huang@users.noreply.github.com> Date: Fri, 26 Apr 2024 12:34:40 -0700 Subject: [PATCH 06/44] Fix macOS CI timeout on frontend unit tests (#1704) This PR intends to fix the macOS CI timeout issue as an urgent fix. It includes a few changes: 1. upgrade karma version to 6.4.3 2. enlarge the timeouts 3. adding waitwebpack wrapper according to https://github.com/karma-runner/karma-chrome-launcher/issues/154#issuecomment-986661937. --- core/gui/angular.json | 6 +- core/gui/karma.conf.js | 25 +++-- core/gui/karma.waitwebpack.js | 27 +++++ core/gui/package.json | 22 ++-- .../component/workspace.component.spec.ts | 1 - core/gui/yarn.lock | 100 ++++++++++++++---- 6 files changed, 137 insertions(+), 44 deletions(-) create mode 100644 core/gui/karma.waitwebpack.js diff --git a/core/gui/angular.json b/core/gui/angular.json index 6a11d768436..a76ee354362 100644 --- a/core/gui/angular.json +++ b/core/gui/angular.json @@ -2,7 +2,7 @@ "$schema": "./node_modules/@angular/cli/lib/config/schema.json", "version": 1, "projects": { - "texera-gui": { + "gui": { "root": "", "sourceRoot": "src", "projectType": "application", @@ -73,12 +73,12 @@ "serve": { "builder": "@angular-builders/custom-webpack:dev-server", "options": { - "browserTarget": "texera-gui:build", + "browserTarget": "gui:build", "proxyConfig": "proxy.config.json" }, "configurations": { "production": { - "browserTarget": "texera-gui:build:production" + "browserTarget": "gui:build:production" } } }, diff --git a/core/gui/karma.conf.js b/core/gui/karma.conf.js index dd82140de31..76d1e89bd83 100644 --- a/core/gui/karma.conf.js +++ b/core/gui/karma.conf.js @@ -4,12 +4,13 @@ module.exports = function(config) { config.set({ basePath: "", - frameworks: ["jasmine", "@angular-devkit/build-angular"], + frameworks: ['waitwebpack', "jasmine", "@angular-devkit/build-angular"], plugins: [ require("karma-jasmine"), require("karma-chrome-launcher"), require("karma-coverage"), require("karma-jasmine-html-reporter"), + require('./karma.waitwebpack'), require("@angular-devkit/build-angular/plugins/karma") ], client: { @@ -18,16 +19,28 @@ module.exports = function(config) { random: false // disable the random running order } }, + customLaunchers: { + ChromeHeadlessCustom: { + base: 'ChromeHeadless', + flags: [ + '--no-sandbox', + '--headless', + '--disable-gpu', + '--disable-translate', + '--disable-extensions' + ], + }, + }, reporters: ["progress", "kjhtml"], port: 9876, colors: true, logLevel: config.LOG_INFO, autoWatch: true, - browsers: ["Chrome"], + browsers: ["ChromeHeadlessCustom"], singleRun: false, - captureTimeout: 60000, - browserDisconnectTimeout: 10000, - browserDisconnectTolerance: 3, - browserNoActivityTimeout: 60000 + captureTimeout: 240000, + browserDisconnectTimeout: 60000, + browserDisconnectTolerance: 1, + browserNoActivityTimeout: 240000 }); }; diff --git a/core/gui/karma.waitwebpack.js b/core/gui/karma.waitwebpack.js new file mode 100644 index 00000000000..9901177f20d --- /dev/null +++ b/core/gui/karma.waitwebpack.js @@ -0,0 +1,27 @@ +function WebpackCompilerEventsPlugin(options) { + this.options = options; +} + +WebpackCompilerEventsPlugin.prototype.apply = function(compiler) { + compiler.hooks.afterDone.tap('webpack-compiler-events-plugin', this.options.afterDone) +}; + +function waitWebpackFactory(config) { + return new Promise(resolve => { + let isFirstBuild = true; + config.buildWebpack.webpackConfig.plugins.push(new WebpackCompilerEventsPlugin({ + afterDone: () => { + if (isFirstBuild) { + console.log('First webpack build done'); + isFirstBuild = false; + resolve(); + } + } + })); + }); +} +waitWebpackFactory.$inject = ['config']; + +module.exports = { + 'framework:waitwebpack': ['factory', waitWebpackFactory] +}; diff --git a/core/gui/package.json b/core/gui/package.json index 388c3d1864f..9f1a59b1fb2 100644 --- a/core/gui/package.json +++ b/core/gui/package.json @@ -11,7 +11,7 @@ "build:ci": "nx build --configuration=production --progress=false --source-map=false", "analyze": "ng build --configuration=production --stats-json && webpack-bundle-analyzer dist/stats.json", "test": "ng test", - "test:ci": "node --max_old_space_size=4096 ./node_modules/nx/bin/nx test --watch=false --progress=false --browsers=ChromeHeadless", + "test:ci": "node --max_old_space_size=6144 ./node_modules/nx/bin/nx test --watch=false --progress=false --browsers=ChromeHeadless", "prettier:fix": "prettier --write ./src", "lint": "ng lint", "eslint:fix": "yarn eslint --fix ./src", @@ -21,6 +21,7 @@ }, "private": true, "dependencies": { + "@ali-hm/angular-tree-component": "12.0.5", "@angular/animations": "16.2.12", "@angular/cdk": "16.2.12", "@angular/common": "16.2.12", @@ -40,7 +41,6 @@ "@stoplight/json-ref-resolver": "3.1.5", "@types/lodash-es": "4.17.4", "@types/plotly.js-basic-dist-min": "^2.12.4", - "@ali-hm/angular-tree-component": "12.0.5", "ajv": "8.10.0", "backbone": "1.4.1", "dagre": "0.8.5", @@ -58,22 +58,22 @@ "monaco-editor": "0.36.1", "monaco-languageclient": "5.0.1", "ng-zorro-antd": "16.2.2", + "ng2-pdf-viewer": "9.1.5", "ngx-color-picker": "12.0.1", + "ngx-file-drop": "16.0.0", + "ngx-image-viewer": "1.0.13", "ngx-json-viewer": "3.2.1", "ngx-markdown": "16.0.0", "papaparse": "5.4.1", - "ng2-pdf-viewer": "9.1.5", - "ngx-file-drop": "16.0.0", - "ngx-image-viewer": "1.0.13", - "read-excel-file": "5.7.1", - "sanitize-filename": "1.6.3", "path-browserify": "^1.0.1", "plotly.js-basic-dist-min": "^2.29.0", "popper.js": "1.16.1", "quill": "1.3.7", "quill-cursors": "3.1.2", + "read-excel-file": "5.7.1", "ring-buffer-ts": "1.0.3", "rxjs": "7.5.5", + "sanitize-filename": "1.6.3", "tinyqueue": "2.0.3", "tslib": "2.3.1", "uuid": "8.3.2", @@ -105,9 +105,9 @@ "@types/json-schema": "7.0.9", "@types/lodash": "4.14.179", "@types/node": "~18.15.5", + "@types/papaparse": "5.3.5", "@types/quill": "2.0.9", "@types/uuid": "8.3.4", - "@types/papaparse": "5.3.5", "@typescript-eslint/eslint-plugin": "7.0.2", "@typescript-eslint/parser": "7.0.2", "babel-plugin-dynamic-import-node": "^2.3.3", @@ -123,7 +123,7 @@ "git-describe": "4.1.0", "jasmine-core": "3.8.0", "jasmine-spec-reporter": "5.0.2", - "karma": "6.3.17", + "karma": "6.4.3", "karma-chrome-launcher": "3.1.0", "karma-coverage": "~2.2.1", "karma-jasmine": "4.0.1", @@ -135,10 +135,10 @@ "prettier-eslint-cli": "8.0.1", "rxjs-marbles": "7.0.1", "sass": "1.71.1", + "style-loader": "3.3.4", "ts-node": "4.1.0", "typescript": "5.1.6", - "webpack-bundle-analyzer": "4.5.0", - "style-loader": "~3.3.3" + "webpack-bundle-analyzer": "4.5.0" }, "browserslist": [ "defaults", diff --git a/core/gui/src/app/workspace/component/workspace.component.spec.ts b/core/gui/src/app/workspace/component/workspace.component.spec.ts index ab3806ec656..e69de29bb2d 100644 --- a/core/gui/src/app/workspace/component/workspace.component.spec.ts +++ b/core/gui/src/app/workspace/component/workspace.component.spec.ts @@ -1 +0,0 @@ -describe("WorkspaceComponent", () => {}); diff --git a/core/gui/yarn.lock b/core/gui/yarn.lock index bf67ffa68d6..2b9e4fc2aa5 100644 --- a/core/gui/yarn.lock +++ b/core/gui/yarn.lock @@ -457,11 +457,16 @@ "@babel/highlight" "^7.24.2" picocolors "^1.0.0" -"@babel/compat-data@^7.22.6", "@babel/compat-data@^7.22.9", "@babel/compat-data@^7.23.5", "@babel/compat-data@^7.24.1": +"@babel/compat-data@^7.22.6", "@babel/compat-data@^7.22.9", "@babel/compat-data@^7.24.1": version "7.24.1" resolved "https://registry.yarnpkg.com/@babel/compat-data/-/compat-data-7.24.1.tgz#31c1f66435f2a9c329bb5716a6d6186c516c3742" integrity sha512-Pc65opHDliVpRHuKfzI+gSA4zcgr65O4cl64fFJIWEEh8JoHIHh0Oez1Eo8Arz8zq/JhgKodQaxEwUPRtZylVA== +"@babel/compat-data@^7.23.5": + version "7.24.4" + resolved "https://registry.yarnpkg.com/@babel/compat-data/-/compat-data-7.24.4.tgz#6f102372e9094f25d908ca0d34fc74c74606059a" + integrity sha512-vg8Gih2MLK+kOkHJp4gBEIkyaIi00jgWot2D9QOmmfLC8jINSOzmCLta6Bvz/JSBCqnegV0L80jhxkol5GWNfQ== + "@babel/core@7.22.9": version "7.22.9" resolved "https://registry.yarnpkg.com/@babel/core/-/core-7.22.9.tgz#bd96492c68822198f33e8a256061da3cf391f58f" @@ -504,7 +509,28 @@ json5 "^2.2.3" semver "^6.3.1" -"@babel/core@^7.12.3", "@babel/core@^7.23.2": +"@babel/core@^7.12.3": + version "7.24.4" + resolved "https://registry.yarnpkg.com/@babel/core/-/core-7.24.4.tgz#1f758428e88e0d8c563874741bc4ffc4f71a4717" + integrity sha512-MBVlMXP+kkl5394RBLSxxk/iLTeVGuXTV3cIDXavPpMMqnSnt6apKgan/U8O3USWZCWZT/TbgfEpKa4uMgN4Dg== + dependencies: + "@ampproject/remapping" "^2.2.0" + "@babel/code-frame" "^7.24.2" + "@babel/generator" "^7.24.4" + "@babel/helper-compilation-targets" "^7.23.6" + "@babel/helper-module-transforms" "^7.23.3" + "@babel/helpers" "^7.24.4" + "@babel/parser" "^7.24.4" + "@babel/template" "^7.24.0" + "@babel/traverse" "^7.24.1" + "@babel/types" "^7.24.0" + convert-source-map "^2.0.0" + debug "^4.1.0" + gensync "^1.0.0-beta.2" + json5 "^2.2.3" + semver "^6.3.1" + +"@babel/core@^7.23.2": version "7.24.3" resolved "https://registry.yarnpkg.com/@babel/core/-/core-7.24.3.tgz#568864247ea10fbd4eff04dda1e05f9e2ea985c3" integrity sha512-5FcvN1JHw2sHJChotgx8Ek0lyuh4kCKelgMTTqhYJJtloNvUfpAFMeNQUtdlIaktwrSV9LtCdqwk48wL2wBacQ== @@ -535,7 +561,7 @@ "@jridgewell/trace-mapping" "^0.3.17" jsesc "^2.5.1" -"@babel/generator@^7.22.9", "@babel/generator@^7.23.0", "@babel/generator@^7.24.1": +"@babel/generator@^7.22.9", "@babel/generator@^7.23.0": version "7.24.1" resolved "https://registry.yarnpkg.com/@babel/generator/-/generator-7.24.1.tgz#e67e06f68568a4ebf194d1c6014235344f0476d0" integrity sha512-DfCRfZsBcrPEHUfuBMgbJ1Ut01Y/itOs+hY2nFLgqsqXd52/iSiVq5TITtUasIUgm+IIKdY2/1I7auiQOEeC9A== @@ -545,6 +571,16 @@ "@jridgewell/trace-mapping" "^0.3.25" jsesc "^2.5.1" +"@babel/generator@^7.24.1", "@babel/generator@^7.24.4": + version "7.24.4" + resolved "https://registry.yarnpkg.com/@babel/generator/-/generator-7.24.4.tgz#1fc55532b88adf952025d5d2d1e71f946cb1c498" + integrity sha512-Xd6+v6SnjWVx/nus+y0l1sxMOTOMBkyL4+BIdbALyatQnAe/SRVjANeDPSCYaX+i1iJmuGSKf3Z+E+V/va1Hvw== + dependencies: + "@babel/types" "^7.24.0" + "@jridgewell/gen-mapping" "^0.3.5" + "@jridgewell/trace-mapping" "^0.3.25" + jsesc "^2.5.1" + "@babel/helper-annotate-as-pure@7.22.5", "@babel/helper-annotate-as-pure@^7.22.5": version "7.22.5" resolved "https://registry.yarnpkg.com/@babel/helper-annotate-as-pure/-/helper-annotate-as-pure-7.22.5.tgz#e7f06737b197d580a01edf75d97e2c8be99d3882" @@ -747,7 +783,7 @@ "@babel/template" "^7.22.15" "@babel/types" "^7.22.19" -"@babel/helpers@^7.22.6", "@babel/helpers@^7.23.2", "@babel/helpers@^7.24.1": +"@babel/helpers@^7.22.6", "@babel/helpers@^7.23.2": version "7.24.1" resolved "https://registry.yarnpkg.com/@babel/helpers/-/helpers-7.24.1.tgz#183e44714b9eba36c3038e442516587b1e0a1a94" integrity sha512-BpU09QqEe6ZCHuIHFphEFgvNSrubve1FtyMton26ekZ85gRGi6LrTF7zArARp2YvyFxloeiRmtSCq5sjh1WqIg== @@ -756,6 +792,15 @@ "@babel/traverse" "^7.24.1" "@babel/types" "^7.24.0" +"@babel/helpers@^7.24.1", "@babel/helpers@^7.24.4": + version "7.24.4" + resolved "https://registry.yarnpkg.com/@babel/helpers/-/helpers-7.24.4.tgz#dc00907fd0d95da74563c142ef4cd21f2cb856b6" + integrity sha512-FewdlZbSiwaVGlgT1DPANDuCHaDMiOo+D/IDYRFYjHOuv66xMSJ7fQwwODwRNAPkADIO/z1EoF/l2BCWlWABDw== + dependencies: + "@babel/template" "^7.24.0" + "@babel/traverse" "^7.24.1" + "@babel/types" "^7.24.0" + "@babel/highlight@^7.24.2": version "7.24.2" resolved "https://registry.yarnpkg.com/@babel/highlight/-/highlight-7.24.2.tgz#3f539503efc83d3c59080a10e6634306e0370d26" @@ -766,11 +811,16 @@ js-tokens "^4.0.0" picocolors "^1.0.0" -"@babel/parser@^7.10.3", "@babel/parser@^7.14.7", "@babel/parser@^7.22.5", "@babel/parser@^7.22.7", "@babel/parser@^7.23.0", "@babel/parser@^7.24.0", "@babel/parser@^7.24.1": +"@babel/parser@^7.10.3", "@babel/parser@^7.22.5", "@babel/parser@^7.22.7", "@babel/parser@^7.23.0": version "7.24.1" resolved "https://registry.yarnpkg.com/@babel/parser/-/parser-7.24.1.tgz#1e416d3627393fab1cb5b0f2f1796a100ae9133a" integrity 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sha512-+Fj43pSMwJs4KRrH/938Uf+uAELIgVBmQzg/q1YG10djyfA3TnrU8N8XzqCh/okZdszqBQTZf96idMfE5lnwTA== "@socket.io/component-emitter@~3.1.0": - version "3.1.0" - resolved "https://registry.yarnpkg.com/@socket.io/component-emitter/-/component-emitter-3.1.0.tgz#96116f2a912e0c02817345b3c10751069920d553" - integrity sha512-+9jVqKhRSpsc591z5vX+X5Yyw+he/HCB4iQ/RYxw35CEPaY1gnsNE43nf9n9AaYjAQrTiI/mOwKUKdUs9vf7Xg== + version "3.1.2" + resolved "https://registry.yarnpkg.com/@socket.io/component-emitter/-/component-emitter-3.1.2.tgz#821f8442f4175d8f0467b9daf26e3a18e2d02af2" + integrity sha512-9BCxFwvbGg/RsZK9tjXd8s4UcwR0MWeFQ1XEKIQVVvAGJyINdrqKMcTRyLoK8Rse1GjzLV9cwjWV1olXRWEXVA== "@stoplight/json-ref-resolver@3.1.5": version "3.1.5" @@ -3081,9 +3131,9 @@ "@types/node" "*" "@types/node@*", "@types/node@>=10.0.0": - version "20.11.30" - resolved "https://registry.yarnpkg.com/@types/node/-/node-20.11.30.tgz#9c33467fc23167a347e73834f788f4b9f399d66f" - integrity sha512-dHM6ZxwlmuZaRmUPfv1p+KrdD1Dci04FbdEm/9wEMouFqxYoFl5aMkt0VMAUtYRQDyYvD41WJLukhq/ha3YuTw== + version "20.12.7" + resolved "https://registry.yarnpkg.com/@types/node/-/node-20.12.7.tgz#04080362fa3dd6c5822061aa3124f5c152cff384" + integrity sha512-wq0cICSkRLVaf3UGLMGItu/PtdY7oaXaI/RVU+xliKVOtRna3PRY57ZDfztpDL0n11vfymMUnXv8QwYCO7L1wg== dependencies: undici-types "~5.26.4" @@ -4453,11 +4503,16 @@ caniuse-api@^3.0.0: lodash.memoize "^4.1.2" lodash.uniq "^4.5.0" -caniuse-lite@^1.0.0, caniuse-lite@^1.0.30001464, caniuse-lite@^1.0.30001587, caniuse-lite@^1.0.30001599: +caniuse-lite@^1.0.0, caniuse-lite@^1.0.30001464, caniuse-lite@^1.0.30001599: version "1.0.30001600" resolved "https://registry.yarnpkg.com/caniuse-lite/-/caniuse-lite-1.0.30001600.tgz#93a3ee17a35aa6a9f0c6ef1b2ab49507d1ab9079" integrity sha512-+2S9/2JFhYmYaDpZvo0lKkfvuKIglrx68MwOBqMGHhQsNkLjB5xtc/TGoEPs+MxjSyN/72qer2g97nzR641mOQ== +caniuse-lite@^1.0.30001587: + version "1.0.30001612" + resolved "https://registry.yarnpkg.com/caniuse-lite/-/caniuse-lite-1.0.30001612.tgz#d34248b4ec1f117b70b24ad9ee04c90e0b8a14ae" + integrity sha512-lFgnZ07UhaCcsSZgWW0K5j4e69dK1u/ltrL9lTUiFOwNHs12S3UMIEYgBV0Z6C6hRDev7iRnMzzYmKabYdXF9g== + caseless@~0.12.0: version "0.12.0" resolved "https://registry.yarnpkg.com/caseless/-/caseless-0.12.0.tgz#1b681c21ff84033c826543090689420d187151dc" @@ -5782,9 +5837,9 @@ ejs@^3.1.7: jake "^10.8.5" electron-to-chromium@^1.4.668: - version "1.4.715" - resolved "https://registry.yarnpkg.com/electron-to-chromium/-/electron-to-chromium-1.4.715.tgz#bb16bcf2a3537962fccfa746b5c98c5f7404ff46" - integrity sha512-XzWNH4ZSa9BwVUQSDorPWAUQ5WGuYz7zJUNpNif40zFCiCl20t8zgylmreNmn26h5kiyw2lg7RfTmeMBsDklqg== + version "1.4.749" + resolved "https://registry.yarnpkg.com/electron-to-chromium/-/electron-to-chromium-1.4.749.tgz#9869e2e258141da26a2272b58264584c3461279d" + integrity sha512-LRMMrM9ITOvue0PoBrvNIraVmuDbJV5QC9ierz/z5VilMdPOVMjOtpICNld3PuXuTZ3CHH/UPxX9gHhAPwi+0Q== elkjs@^0.8.2: version "0.8.2" @@ -8126,10 +8181,10 @@ karma-source-map-support@1.4.0: dependencies: source-map-support "^0.5.5" -karma@6.3.17: - version "6.3.17" - resolved "https://registry.yarnpkg.com/karma/-/karma-6.3.17.tgz#5d963fb52463b73e1b5892ecb54c8f21bb04ba1d" - integrity sha512-2TfjHwrRExC8yHoWlPBULyaLwAFmXmxQrcuFImt/JsAsSZu1uOWTZ1ZsWjqQtWpHLiatJOHL5jFjXSJIgCd01g== +karma@6.4.3: + version "6.4.3" + resolved "https://registry.yarnpkg.com/karma/-/karma-6.4.3.tgz#763e500f99597218bbb536de1a14acc4ceea7ce8" + integrity sha512-LuucC/RE92tJ8mlCwqEoRWXP38UMAqpnq98vktmS9SznSoUPPUJQbc91dHcxcunROvfQjdORVA/YFviH+Xci9Q== dependencies: "@colors/colors" "1.5.0" body-parser "^1.19.0" @@ -8150,7 +8205,7 @@ karma@6.3.17: qjobs "^1.2.0" range-parser "^1.2.1" rimraf "^3.0.2" - socket.io "^4.2.0" + socket.io "^4.7.2" source-map "^0.6.1" tmp "^0.2.1" ua-parser-js "^0.7.30" @@ -8953,7 +9008,6 @@ ng-zorro-antd@16.2.2: date-fns "^2.16.1" tslib "^2.3.0" - ng2-pdf-viewer@9.1.5: version "9.1.5" resolved "https://registry.yarnpkg.com/ng2-pdf-viewer/-/ng2-pdf-viewer-9.1.5.tgz#bcc9223eea96d2974f8c8377a333d45ff64a3caf" @@ -10968,7 +11022,7 @@ socket.io-parser@~4.2.4: "@socket.io/component-emitter" "~3.1.0" debug "~4.3.1" -socket.io@^4.2.0: +socket.io@^4.7.2: version "4.7.5" resolved "https://registry.yarnpkg.com/socket.io/-/socket.io-4.7.5.tgz#56eb2d976aef9d1445f373a62d781a41c7add8f8" integrity sha512-DmeAkF6cwM9jSfmp6Dr/5/mfMwb5Z5qRrSXLpo3Fq5SqyU8CMF15jIN4ZhfSwu35ksM1qmHZDQ/DK5XTccSTvA== @@ -11271,7 +11325,7 @@ strong-log-transformer@^2.1.0: minimist "^1.2.0" through "^2.3.4" -style-loader@^3.3.0, style-loader@~3.3.3: +style-loader@3.3.4, style-loader@^3.3.0: version "3.3.4" resolved "https://registry.yarnpkg.com/style-loader/-/style-loader-3.3.4.tgz#f30f786c36db03a45cbd55b6a70d930c479090e7" integrity sha512-0WqXzrsMTyb8yjZJHDqwmnwRJvhALK9LfRtRc6B4UTWe8AijYLZYZ9thuJTZc2VfQWINADW/j+LiJnfy2RoC1w== From 31676bdee7d28ae11f4ab1e614144b48f2f7fbfb Mon Sep 17 00:00:00 2001 From: yunyad <114192306+yunyad@users.noreply.github.com> Date: Fri, 26 Apr 2024 13:25:21 -0700 Subject: [PATCH 07/44] Hugging face Sentiment Analysis (#2600) Issue #2587 This PR utilized a model from HuggingFace: cardiffnlp/twitter-roberta-base-sentiment-latest and introduced a new machine learning operator called "Hugging Face Sentiment Analysis". The inputs of this operator will be a selected columns of text. User needs to select the column for sentiment analysis. The outputs of this operator will add three columns: "huggingface_sentiment_positive", huggingface_sentiment_neutral" and huggingface_sentiment_negative" as default. They are in 'DOUBLE' format, rounded to four decimal places. Users are able to change the name based on their needs. This operator doesn't handle any text preprocessing. During testing, one HuggingFace operator utilized ~800MB RAM. Here is a demo and output schemas: ![Screen Recording 2024-04-21 at 9 50 57 PM](https://github.com/Texera/texera/assets/114192306/765c8f09-d016-4571-82f7-0217ebbee4cb) image --- core/amber/requirements.txt | 3 +- .../workflow/common/operators/LogicalOp.scala | 7 +- .../HuggingFaceSentimentAnalysisOpDesc.scala | 96 ++++++++++++++++++ .../HuggingFaceSentimentAnalysis.png | Bin 0 -> 13831 bytes 4 files changed, 104 insertions(+), 2 deletions(-) create mode 100644 core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/huggingFace/HuggingFaceSentimentAnalysisOpDesc.scala create mode 100644 core/gui/src/assets/operator_images/HuggingFaceSentimentAnalysis.png diff --git a/core/amber/requirements.txt b/core/amber/requirements.txt index a3b201b6794..05094ee5be2 100644 --- a/core/amber/requirements.txt +++ b/core/amber/requirements.txt @@ -24,4 +24,5 @@ python-lsp-server[all]==1.5.0 python-lsp-server[websockets] bidict==0.22.0 cached_property -psutil \ No newline at end of file +psutil +transformers \ No newline at end of file diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/operators/LogicalOp.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/operators/LogicalOp.scala index 016cb9a23f6..15be56f76db 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/operators/LogicalOp.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/operators/LogicalOp.scala @@ -34,6 +34,7 @@ import edu.uci.ics.texera.workflow.operators.intersect.IntersectOpDesc import edu.uci.ics.texera.workflow.operators.intervalJoin.IntervalJoinOpDesc import edu.uci.ics.texera.workflow.operators.keywordSearch.KeywordSearchOpDesc import edu.uci.ics.texera.workflow.operators.limit.LimitOpDesc +import edu.uci.ics.texera.workflow.operators.huggingFace.HuggingFaceSentimentAnalysisOpDesc import edu.uci.ics.texera.workflow.operators.projection.ProjectionOpDesc import edu.uci.ics.texera.workflow.operators.randomksampling.RandomKSamplingOpDesc import edu.uci.ics.texera.workflow.operators.regex.RegexOpDesc @@ -180,7 +181,11 @@ trait StateTransferFunc new Type(value = classOf[FunnelPlotOpDesc], name = "FunnelPlot"), new Type(value = classOf[TablesPlotOpDesc], name = "TablesPlot"), new Type(value = classOf[JavaUDFOpDesc], name = "JavaUDF"), - new Type(value = classOf[SortOpDesc], name = "Sort") + new Type(value = classOf[SortOpDesc], name = "Sort"), + new Type( + value = classOf[HuggingFaceSentimentAnalysisOpDesc], + name = "HuggingFaceSentimentAnalysis" + ) ) ) abstract class LogicalOp extends PortDescriptor with Serializable { diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/huggingFace/HuggingFaceSentimentAnalysisOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/huggingFace/HuggingFaceSentimentAnalysisOpDesc.scala new file mode 100644 index 00000000000..ac9a109df9d --- /dev/null +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/huggingFace/HuggingFaceSentimentAnalysisOpDesc.scala @@ -0,0 +1,96 @@ +package edu.uci.ics.texera.workflow.operators.huggingFace + +import com.fasterxml.jackson.annotation.{JsonProperty, JsonPropertyDescription} +import edu.uci.ics.amber.engine.common.workflow.{InputPort, OutputPort} +import edu.uci.ics.texera.workflow.common.metadata.annotations.AutofillAttributeName +import edu.uci.ics.texera.workflow.common.metadata.{OperatorGroupConstants, OperatorInfo} +import edu.uci.ics.texera.workflow.common.operators.PythonOperatorDescriptor +import edu.uci.ics.texera.workflow.common.tuple.schema.{AttributeType, Schema} + +class HuggingFaceSentimentAnalysisOpDesc extends PythonOperatorDescriptor { + @JsonProperty(value = "attribute", required = true) + @JsonPropertyDescription("column to perform sentiment analysis on") + @AutofillAttributeName + var attribute: String = _ + + @JsonProperty( + value = "Positive result attribute", + required = true, + defaultValue = "huggingface_sentiment_positive" + ) + @JsonPropertyDescription("column name of the sentiment analysis result (positive)") + var resultAttributePositive: String = _ + + @JsonProperty( + value = "Neutral result attribute", + required = true, + defaultValue = "huggingface_sentiment_neutral" + ) + @JsonPropertyDescription("column name of the sentiment analysis result (neutral)") + var resultAttributeNeutral: String = _ + + @JsonProperty( + value = "Negative result attribute", + required = true, + defaultValue = "huggingface_sentiment_negative" + ) + @JsonPropertyDescription("column name of the sentiment analysis result (negative)") + var resultAttributeNegative: String = _ + + override def generatePythonCode(): String = { + s"""from pytexera import * + |from transformers import pipeline + |from transformers import AutoModelForSequenceClassification + |from transformers import TFAutoModelForSequenceClassification + |from transformers import AutoTokenizer, AutoConfig + |import numpy as np + |from scipy.special import softmax + | + |class ProcessTupleOperator(UDFOperatorV2): + | + | def open(self): + | model_name = "cardiffnlp/twitter-roberta-base-sentiment-latest" + | self.tokenizer = AutoTokenizer.from_pretrained(model_name) + | self.config = AutoConfig.from_pretrained(model_name) + | self.model = AutoModelForSequenceClassification.from_pretrained(model_name) + | + | @overrides + | def process_tuple(self, tuple_: Tuple, port: int) -> Iterator[Optional[TupleLike]]: + | encoded_input = self.tokenizer(tuple_["$attribute"], return_tensors='pt') + | output = self.model(**encoded_input) + | scores = softmax(output[0][0].detach().numpy()) + | ranking = np.argsort(scores)[::-1] + | labels = {"positive": "$resultAttributePositive", "neutral": "$resultAttributeNeutral", "negative": "$resultAttributeNegative"} + | for i in range(scores.shape[0]): + | label = labels[self.config.id2label[ranking[i]]] + | score = scores[ranking[i]] + | tuple_[label] = np.round(float(score), 4) + | yield tuple_""".stripMargin + } + + override def operatorInfo: OperatorInfo = + OperatorInfo( + "Hugging Face Sentiment Analysis", + "Analyzing Sentiments with a Twitter-Based Model from Hugging Face", + OperatorGroupConstants.MACHINE_LEARNING_GROUP, + inputPorts = List(InputPort()), + outputPorts = List(OutputPort()), + supportReconfiguration = true + ) + + override def getOutputSchema(schemas: Array[Schema]): Schema = { + if ( + resultAttributePositive == null || resultAttributePositive.trim.isEmpty || + resultAttributeNeutral == null || resultAttributeNeutral.trim.isEmpty || + resultAttributeNegative == null || resultAttributeNegative.trim.isEmpty + ) + return null + Schema + .builder() + .add(schemas(0)) + .add(resultAttributePositive, AttributeType.DOUBLE) + .add(resultAttributeNeutral, AttributeType.DOUBLE) + .add(resultAttributeNegative, AttributeType.DOUBLE) + .build() + } +} diff --git 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zjH=2#GdYsK6crctmN~c)(P_5c)c-*@R!%LdXmAE>jcV`DfTZzlK8Q)M!s+X zz5p?uyfY^V5TlPdpYwQO>fC=XzM;puibrDuZ_Y{0IOY&B*P50YfLi*^zY(x!b$8Nt zR%On(yJTNEn4pXZb?C6S&3wnGB#+A%v1$k7Wf#{rg~U>b1ilvr2m~*w)(KrX!D;7(VOhI6KT>Xu8Ok-vhuWKoL^VGl0RWQk{BMo6?62Mo}(zjNJ9fJgJpI1LB8LG z>WX$Iuk_A?ZNjj9&$0-6Dif<|hv~01Ch4xcCO7gt3mDHuxdS_3*_Vcv9EFBsL|h3* ziH^r6Ov^86jux&QVzp=O0u3dz5gloV<;c37H$CFk8)kdrn)_bv_(g;uJtpzX;qT|T z`mHAi$XJ3v=w>X^Q2`HUCP6+A&p-!7@sF>=7i0-CHVBl3%Mg>Mzs_SRGQ2XeBi!TN zk@pRYncOy$XlF(Z8banotKeG4S{0x8mrxH>jy~FzYp}{SD Date: Fri, 26 Apr 2024 14:35:23 -0700 Subject: [PATCH 08/44] Fix Result Panel Not Showing Results Occasionally (#2623) This PR fixes an issue of result panel that could cause results not being shown from time to time (#2612 ). The issue is caused by #2604. The `currentPageIndex` should start from 1 but #2604 introduced a logic that could change the index to 0. Adding a check in the condition could solve this issue. I tested and did not see problems anymore. --- .../result-table-frame/result-table-frame.component.ts | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/core/gui/src/app/workspace/component/result-panel/result-table-frame/result-table-frame.component.ts b/core/gui/src/app/workspace/component/result-panel/result-table-frame/result-table-frame.component.ts index 09d9155faae..04d2d75d307 100644 --- a/core/gui/src/app/workspace/component/result-panel/result-table-frame/result-table-frame.component.ts +++ b/core/gui/src/app/workspace/component/result-panel/result-table-frame/result-table-frame.component.ts @@ -97,7 +97,7 @@ export class ResultTableFrameComponent implements OnInit, OnChanges { this.resizeService.currentSize.pipe(untilDestroyed(this)).subscribe(size => { this.adjustPageSizeBasedOnPanelSize(size.height); let currentPageNum: number = Math.ceil(this.totalNumTuples / this.pageSize); - while (this.currentPageIndex > currentPageNum) { + while (this.currentPageIndex > currentPageNum && this.currentPageIndex > 1) { this.currentPageIndex -= 1; } }); From b0f08d43d15f9ccbbdf941a2db2cecb74808f3e3 Mon Sep 17 00:00:00 2001 From: Bob Bai <43344272+bobbai00@users.noreply.github.com> Date: Fri, 26 Apr 2024 14:57:10 -0700 Subject: [PATCH 09/44] Save result file to existing dataset (#2616) This PR change the logic of exporting result. ### Logic Comparison - old logic: the result file will be saved to the `Result` dashboard - new logic: the result file will be saved to one of the existing datasets, user can choose which dataset to store. ### Demo ![2024-04-24 09 17 18](https://github.com/Texera/texera/assets/43344272/9e1f5084-80e9-4101-9159-24489ccd4443) --------- Co-authored-by: Xiaozhen Liu --- .../request/ResultExportRequest.scala | 3 +- .../user/dataset/DatasetResource.scala | 150 ++++++++++++------ .../web/service/ResultExportService.scala | 18 ++- core/gui/src/app/app.module.ts | 2 + .../component/menu/menu.component.ts | 16 +- .../result-exportation.component.html | 29 ++++ .../result-exportation.component.scss | 42 +++++ .../result-exportation.component.ts | 59 +++++++ .../workflow-result-export.service.ts | 7 +- .../types/workflow-websocket.interface.ts | 1 + 10 files changed, 274 insertions(+), 53 deletions(-) create mode 100644 core/gui/src/app/workspace/component/result-exportation/result-exportation.component.html create mode 100644 core/gui/src/app/workspace/component/result-exportation/result-exportation.component.scss create mode 100644 core/gui/src/app/workspace/component/result-exportation/result-exportation.component.ts diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/web/model/websocket/request/ResultExportRequest.scala b/core/amber/src/main/scala/edu/uci/ics/texera/web/model/websocket/request/ResultExportRequest.scala index 3b88383589c..3143ad2dc62 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/web/model/websocket/request/ResultExportRequest.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/web/model/websocket/request/ResultExportRequest.scala @@ -5,5 +5,6 @@ case class ResultExportRequest( workflowId: Int, workflowName: String, operatorId: String, - operatorName: String + operatorName: String, + datasetIds: Array[Int] ) extends TexeraWebSocketRequest diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/web/resource/dashboard/user/dataset/DatasetResource.scala b/core/amber/src/main/scala/edu/uci/ics/texera/web/resource/dashboard/user/dataset/DatasetResource.scala index 5da0a2925c2..279188f936c 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/web/resource/dashboard/user/dataset/DatasetResource.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/web/resource/dashboard/user/dataset/DatasetResource.scala @@ -37,7 +37,7 @@ import edu.uci.ics.texera.web.resource.dashboard.user.dataset.DatasetResource.{ ERR_DATASET_CREATION_FAILED_MESSAGE, ERR_USER_HAS_NO_ACCESS_TO_DATASET_MESSAGE, context, - createNewDatasetVersion, + createNewDatasetVersionFromFormData, getDashboardDataset, getDatasetByID, getDatasetLatestVersion, @@ -55,7 +55,6 @@ import org.jooq.types.UInteger import java.io.{InputStream, OutputStream} import java.net.URLDecoder import java.nio.charset.StandardCharsets -import java.nio.file.Paths import java.util import java.util.concurrent.locks.ReentrantLock import javax.annotation.security.RolesAllowed @@ -72,6 +71,7 @@ import javax.ws.rs.{ QueryParam } import javax.ws.rs.core.{MediaType, Response, StreamingOutput} +import scala.collection.mutable import scala.jdk.CollectionConverters._ object DatasetResource { @@ -187,18 +187,97 @@ object DatasetResource { latestVersion } - // this function create a new dataset version - // the dataset is identified by did, the file changes/removals are contained in multiPart form - // it returns the created dataset version if creation succeed, else return None - // concurrency control is performed here: the thread has to have the lock in order to create the new version - private def createNewDatasetVersion( + // DatasetOperation defines the operations that will be applied when creating a new dataset version + private case class DatasetOperation( + filesToAdd: Map[java.nio.file.Path, InputStream], + filesToRemove: List[java.nio.file.Path] + ) + + private def parseUserUploadedFormToDatasetOperations( + did: UInteger, + multiPart: FormDataMultiPart + ): DatasetOperation = { + val datasetPath = PathUtils.getDatasetPath(did) // Obtain dataset base path + + // Mutable collections for constructing DatasetOperation + val filesToAdd = mutable.Map[java.nio.file.Path, InputStream]() + val filesToRemove = mutable.ListBuffer[java.nio.file.Path]() + + val fields = multiPart.getFields.keySet.iterator() // Get all field names + + // for multipart, each file-related operation's key starts with file: + // the operation is either upload or remove + // for file:upload, the file path will be suffixed to it, e.g. file:upload:a/b/c.csv The value will be the file content + // for file:remove, the value would be filepath1,filepath2 + while (fields.hasNext) { + val fieldName = fields.next() + val bodyPart = multiPart.getField(fieldName) // Get the body part for the field + + if (fieldName.startsWith(FILE_OPERATION_UPLOAD_PREFIX)) { + // Determine the relative file path and resolve it with the dataset base path + val filePath = datasetPath.resolve(fieldName.substring(FILE_OPERATION_UPLOAD_PREFIX.length)) + val inputStream = + bodyPart.getValueAs(classOf[InputStream]) // Get input stream from multipart + filesToAdd.put(filePath, inputStream) // Add to the map for uploads + } else if (fieldName.startsWith(FILE_OPERATION_REMOVE_PREFIX)) { + val filePathsValue = + bodyPart.getValueAs(classOf[String]) // Get the file paths as a comma-separated string + val filePaths = filePathsValue.split(",") // Split into individual file paths + filePaths.foreach { filePath => + val normalizedFilePath = filePath.stripPrefix("/") // Normalize path + val physicalFilePath = datasetPath.resolve(normalizedFilePath) // Convert to full path + filesToRemove += physicalFilePath // Add to the list for removals + } + } + } + + // Return a new DatasetOperation with the map and list + DatasetOperation(filesToAdd.toMap, filesToRemove.toList) + } + + // add file(s) to a dataset, a new version will be created + def createNewDatasetVersionByAddingFiles( + did: UInteger, + uid: UInteger, + filesToAdd: Map[java.nio.file.Path, InputStream] + ): Option[DashboardDatasetVersion] = { + applyDatasetOperationToCreateNewVersion( + context, + did, + uid, + "", + DatasetOperation(filesToAdd, List()) + ) + } + + // create a new dataset version using the form data from frontend + def createNewDatasetVersionFromFormData( ctx: DSLContext, did: UInteger, uid: UInteger, userProvidedVersionName: String, multiPart: FormDataMultiPart ): Option[DashboardDatasetVersion] = { + val datasetOperation = parseUserUploadedFormToDatasetOperations(did, multiPart) + applyDatasetOperationToCreateNewVersion( + ctx, + did, + uid, + userProvidedVersionName, + datasetOperation + ) + } + // apply the dataset operation to create a new dataset version + // it returns the created dataset version if creation succeed, else return None + // concurrency control is performed here: the thread has to have the lock in order to create the new version + private def applyDatasetOperationToCreateNewVersion( + ctx: DSLContext, + did: UInteger, + uid: UInteger, + userProvidedVersionName: String, + datasetOperation: DatasetOperation + ): Option[DashboardDatasetVersion] = { // Acquire or Create the lock for dataset of {did} val lock = DatasetResource.datasetLocks.getOrElseUpdate(did, new ReentrantLock()) @@ -207,54 +286,31 @@ object DatasetResource { } lock.lock() try { - val datasetPath = Paths.get(PathUtils.getDatasetPath(did).toString) + val datasetPath = PathUtils.getDatasetPath(did) - // this is used to check if file operation happens - var fileOperationHappens = false - // for multipart, each file-related operation's key starts with file: - // the operation is either upload or remove - // for file:upload, the file path will be suffixed to it, e.g. file:upload:a/b/c.csv The value will be the file content - // for file:remove, the value would be filepath1,filepath2 - val fields = multiPart.getFields().keySet().iterator() + if (datasetOperation.filesToAdd.isEmpty && datasetOperation.filesToRemove.isEmpty) { + return None + } val versionName = generateDatasetVersionName(ctx, did, userProvidedVersionName) val commitHash = GitVersionControlLocalFileStorage.withCreateVersion( datasetPath, versionName, () => { - while (fields.hasNext) { - val fieldName = fields.next() - val bodyPart = multiPart.getField(fieldName) - - if (fieldName.startsWith(FILE_OPERATION_UPLOAD_PREFIX)) { - // val contentDisposition = bodyPart.getContentDisposition - // val contentType = bodyPart.getMediaType.toString - val filePath = - datasetPath.resolve(fieldName.substring(FILE_OPERATION_UPLOAD_PREFIX.length)) - // TODO: be careful with the string operation here - val value: InputStream = bodyPart.getValueAs(classOf[InputStream]) - GitVersionControlLocalFileStorage.writeFileToRepo(datasetPath, filePath, value) - fileOperationHappens = true - } else if (fieldName.startsWith(FILE_OPERATION_REMOVE_PREFIX)) { - val filePathsValue = bodyPart.getValueAs(classOf[String]) - val filePaths = filePathsValue.split(",") - filePaths.foreach { filePath => - val normalizedFilePath = filePath.stripPrefix("/") - GitVersionControlLocalFileStorage.removeFileFromRepo( - datasetPath, - datasetPath.resolve(normalizedFilePath) - ) - } - fileOperationHappens = true - } + datasetOperation.filesToAdd.foreach { + case (filePath, fileStream) => + GitVersionControlLocalFileStorage.writeFileToRepo(datasetPath, filePath, fileStream) + } + + datasetOperation.filesToRemove.foreach { filePath => + GitVersionControlLocalFileStorage.removeFileFromRepo( + datasetPath, + filePath + ) } } ) - if (!fileOperationHappens) { - return None - } - // create the DatasetVersion that persists in the DB val datasetVersion = new DatasetVersion() @@ -370,7 +426,8 @@ class DatasetResource { GitVersionControlLocalFileStorage.initRepo(datasetPath) // create the initial version of the dataset - val createdVersion = createNewDatasetVersion(ctx, did, uid, initialVersionName, files) + val createdVersion = + createNewDatasetVersionFromFormData(ctx, did, uid, initialVersionName, files) createdVersion match { case Some(_) => @@ -507,7 +564,8 @@ class DatasetResource { throw new ForbiddenException(ERR_USER_HAS_NO_ACCESS_TO_DATASET_MESSAGE) } // create the version - val createdVersion = createNewDatasetVersion(ctx, did, uid, versionName, multiPart) + val createdVersion = + createNewDatasetVersionFromFormData(ctx, did, uid, versionName, multiPart) createdVersion match { case None => diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/web/service/ResultExportService.scala b/core/amber/src/main/scala/edu/uci/ics/texera/web/service/ResultExportService.scala index 8b15f611cd2..403cc6f035b 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/web/service/ResultExportService.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/web/service/ResultExportService.scala @@ -15,8 +15,10 @@ import edu.uci.ics.texera.Utils.retry import edu.uci.ics.texera.web.model.websocket.request.ResultExportRequest import edu.uci.ics.texera.web.model.websocket.response.ResultExportResponse import edu.uci.ics.texera.web.resource.GoogleResource +import edu.uci.ics.texera.web.resource.dashboard.user.dataset.DatasetResource.createNewDatasetVersionByAddingFiles + +import edu.uci.ics.texera.web.resource.dashboard.user.dataset.utils.PathUtils import edu.uci.ics.texera.web.resource.dashboard.user.file.UserFileResource -import edu.uci.ics.texera.web.resource.dashboard.user.project.ProjectResource import edu.uci.ics.texera.web.resource.dashboard.user.workflow.WorkflowVersionResource import edu.uci.ics.texera.workflow.common.storage.OpResultStorage import edu.uci.ics.texera.workflow.common.tuple.Tuple @@ -98,17 +100,27 @@ class ResultExportService(opResultStorage: OpResultStorage, wId: UInteger) { .truncatedTo(ChronoUnit.SECONDS) .format(DateTimeFormatter.ofPattern("yyyy-MM-dd_HH-mm-ss")) val fileName = s"${request.workflowName}-v$latestVersion-${request.operatorName}-$timestamp.csv" + + // add files to datasets + request.datasetIds.foreach(did => { + val datasetPath = PathUtils.getDatasetPath(UInteger.valueOf(did)) + val filePath = datasetPath.resolve(fileName) + createNewDatasetVersionByAddingFiles( + UInteger.valueOf(did), + uid, + Map(filePath -> new ByteArrayInputStream(stream.toByteArray)) + ) + }) UserFileResource.saveFile( uid, fileName, new ByteArrayInputStream(stream.toByteArray), "generated by workflow" ) - val addToProjectStatus = ProjectResource.addExportedFileToProject(uid, wId, fileName) ResultExportResponse( "success", - s"File saved to User Dashboard as $fileName $addToProjectStatus" + s"File saved to User Dashboard as $fileName to Datasets ${request.datasetIds.mkString(",")}" ) } diff --git a/core/gui/src/app/app.module.ts b/core/gui/src/app/app.module.ts index e8095897b60..cd69a68d564 100644 --- a/core/gui/src/app/app.module.ts +++ b/core/gui/src/app/app.module.ts @@ -133,6 +133,7 @@ import { NzNoAnimationModule } from "ng-zorro-antd/core/no-animation"; import { TreeModule } from "@ali-hm/angular-tree-component"; import { EnvironmentComponent } from "./workspace/component/left-panel/environment/environment.component"; import { FileSelectionComponent } from "./workspace/component/file-selection/file-selection.component"; +import { ResultExportationComponent } from "./workspace/component/result-exportation/result-exportation.component"; registerLocaleData(en); @@ -149,6 +150,7 @@ registerLocaleData(en); TimeTravelComponent, WorkflowEditorComponent, ResultPanelComponent, + ResultExportationComponent, OperatorLabelComponent, DashboardComponent, AdminUserComponent, diff --git a/core/gui/src/app/workspace/component/menu/menu.component.ts b/core/gui/src/app/workspace/component/menu/menu.component.ts index bb25e164dfc..7a8198690c8 100644 --- a/core/gui/src/app/workspace/component/menu/menu.component.ts +++ b/core/gui/src/app/workspace/component/menu/menu.component.ts @@ -27,6 +27,9 @@ import { OperatorMenuService } from "../../service/operator-menu/operator-menu.s import { CoeditorPresenceService } from "../../service/workflow-graph/model/coeditor-presence.service"; import { Subscription, timer } from "rxjs"; import { isDefined } from "../../../common/util/predicate"; +import { FileSelectionComponent } from "../file-selection/file-selection.component"; +import { NzModalService } from "ng-zorro-antd/modal"; +import { ResultExportationComponent } from "../result-exportation/result-exportation.component"; /** * MenuComponent is the top level menu bar that shows @@ -95,7 +98,8 @@ export class MenuComponent implements OnInit { private userProjectService: UserProjectService, private notificationService: NotificationService, public operatorMenu: OperatorMenuService, - public coeditorPresenceService: CoeditorPresenceService + public coeditorPresenceService: CoeditorPresenceService, + private modalService: NzModalService ) { workflowWebsocketService .subscribeToEvent("ExecutionDurationUpdateEvent") @@ -326,7 +330,15 @@ export class MenuComponent implements OnInit { * */ public onClickExportExecutionResult(exportType: string): void { - this.workflowResultExportService.exportWorkflowExecutionResult(exportType, this.currentWorkflowName); + const modal = this.modalService.create({ + nzTitle: "Export Result and Save to a Dataset", + nzContent: ResultExportationComponent, + nzData: { + exportType: exportType, + workflowName: this.currentWorkflowName, + }, + nzFooter: null, + }); } /** diff --git a/core/gui/src/app/workspace/component/result-exportation/result-exportation.component.html b/core/gui/src/app/workspace/component/result-exportation/result-exportation.component.html new file mode 100644 index 00000000000..b3498651ed4 --- /dev/null +++ b/core/gui/src/app/workspace/component/result-exportation/result-exportation.component.html @@ -0,0 +1,29 @@ +
+ + + +
+
{{dataset.dataset.did?.toString()}}
+ + {{ dataset.dataset.name }} + + +
+ + +
diff --git a/core/gui/src/app/workspace/component/result-exportation/result-exportation.component.scss b/core/gui/src/app/workspace/component/result-exportation/result-exportation.component.scss new file mode 100644 index 00000000000..00ecc8b605d --- /dev/null +++ b/core/gui/src/app/workspace/component/result-exportation/result-exportation.component.scss @@ -0,0 +1,42 @@ +.centered-container { + display: flex; + flex-direction: column; /* Arrange children vertically */ + align-items: center; /* Center horizontally */ + justify-content: center; /* Center vertically */ + text-align: center; +} + +.datasets-container { + background-color: white; +} + +.dataset-id-container { + background-color: grey; + color: white; + width: 35px; + height: 35px; + border-radius: 50%; + display: flex; + justify-content: center; + align-items: center; /* Center vertically */ + font-size: 14px; + margin-left: 5px; + box-shadow: 0 2px 4px rgba(0, 0, 0, 0.1); + overflow: hidden; +} + +.auto-option-content { + width: 100%; + height: 50%; + display: flex; + justify-content: space-between; +} + +.dataset-name { + margin-left: 10px; + flex-grow: 1; /* This will make the name take up the remaining space */ +} + +.dataset-option-link-btn { + margin-right: 5px; +} diff --git a/core/gui/src/app/workspace/component/result-exportation/result-exportation.component.ts b/core/gui/src/app/workspace/component/result-exportation/result-exportation.component.ts new file mode 100644 index 00000000000..4a50816b902 --- /dev/null +++ b/core/gui/src/app/workspace/component/result-exportation/result-exportation.component.ts @@ -0,0 +1,59 @@ +import { UntilDestroy, untilDestroyed } from "@ngneat/until-destroy"; +import { Component, inject, Input, OnInit } from "@angular/core"; +import { environment } from "../../../../environments/environment"; +import { WorkflowResultExportService } from "../../service/workflow-result-export/workflow-result-export.service"; +import { DashboardDataset } from "../../../dashboard/user/type/dashboard-dataset.interface"; +import { DatasetService } from "../../../dashboard/user/service/user-dataset/dataset.service"; +import { NZ_MODAL_DATA, NzModalRef } from "ng-zorro-antd/modal"; + +@UntilDestroy() +@Component({ + selector: "texera-result-exportation-modal", + templateUrl: "./result-exportation.component.html", + styleUrls: ["./result-exportation.component.scss"], +}) +export class ResultExportationComponent implements OnInit { + exportType: string = inject(NZ_MODAL_DATA).exportType; + + workflowName: string = inject(NZ_MODAL_DATA).workflowName; + + inputDatasetName = ""; + + userAccessibleDatasets: DashboardDataset[] = []; + filteredUserAccessibleDatasets: DashboardDataset[] = []; + + constructor( + private modalRef: NzModalRef, + private workflowResultExportService: WorkflowResultExportService, + private datasetService: DatasetService + ) {} + + ngOnInit(): void { + this.datasetService + .retrieveAccessibleDatasets() + .pipe(untilDestroyed(this)) + .subscribe(datasets => { + this.userAccessibleDatasets = datasets.filter(dataset => dataset.accessPrivilege === "WRITE"); + this.filteredUserAccessibleDatasets = [...this.userAccessibleDatasets]; + }); + } + + onUserInputDatasetName(event: Event): void { + const value = this.inputDatasetName; + + if (value) { + this.filteredUserAccessibleDatasets = this.userAccessibleDatasets.filter( + dataset => dataset.dataset.did && dataset.dataset.name.toLowerCase().includes(value) + ); + } + } + + onClickSaveResultFileToDatasets(dataset: DashboardDataset) { + if (dataset.dataset.did) { + this.workflowResultExportService.exportWorkflowExecutionResult(this.exportType, this.workflowName, [ + dataset.dataset.did, + ]); + this.modalRef.close(); + } + } +} diff --git a/core/gui/src/app/workspace/service/workflow-result-export/workflow-result-export.service.ts b/core/gui/src/app/workspace/service/workflow-result-export/workflow-result-export.service.ts index 428a4f3beff..eab238fcf65 100644 --- a/core/gui/src/app/workspace/service/workflow-result-export/workflow-result-export.service.ts +++ b/core/gui/src/app/workspace/service/workflow-result-export/workflow-result-export.service.ts @@ -60,7 +60,11 @@ export class WorkflowResultExportService { /** * export the workflow execution result according the export type */ - exportWorkflowExecutionResult(exportType: string, workflowName: string): void { + exportWorkflowExecutionResult( + exportType: string, + workflowName: string, + datasetIds: ReadonlyArray = [] + ): void { if (!environment.exportExecutionResultEnabled || !this.hasResultToExport) { return; } @@ -86,6 +90,7 @@ export class WorkflowResultExportService { workflowName, operatorId, operatorName, + datasetIds, }); }); } diff --git a/core/gui/src/app/workspace/types/workflow-websocket.interface.ts b/core/gui/src/app/workspace/types/workflow-websocket.interface.ts index d70ae9aa106..655f2716071 100644 --- a/core/gui/src/app/workspace/types/workflow-websocket.interface.ts +++ b/core/gui/src/app/workspace/types/workflow-websocket.interface.ts @@ -99,6 +99,7 @@ export type ResultExportRequest = Readonly<{ workflowName: string; operatorId: string; operatorName: string; + datasetIds: ReadonlyArray; }>; export type ResultExportResponse = Readonly<{ From c488ef8e196ad9bc7b2ca08837ed1f8b9724a5ae Mon Sep 17 00:00:00 2001 From: Yicong Huang <17627829+Yicong-Huang@users.noreply.github.com> Date: Fri, 26 Apr 2024 20:42:16 -0700 Subject: [PATCH 10/44] Include acknowledgement for NIDDK (#2626) --- README.md | 3 +++ 1 file changed, 3 insertions(+) diff --git a/README.md b/README.md index d43a9a54edb..89043f61fda 100644 --- a/README.md +++ b/README.md @@ -112,4 +112,7 @@ To try our collaborative data analytics in _Demonstration of Collaborative and I This project is supported by the National Science Foundation under the awards [III 1745673](https://www.nsf.gov/awardsearch/showAward?AWD_ID=1745673), [III 2107150](https://www.nsf.gov/awardsearch/showAward?AWD_ID=2107150), AWS Research Credits, and Google Cloud Platform Education Programs. +* NIH NIDDK This project is supported by NIH NIDDK. + + * Yourkit [Yourkit](https://www.yourkit.com/) has given an open source license to use their profiler in this project. From e573a177370c64c37655775406bb3d50c7705c82 Mon Sep 17 00:00:00 2001 From: yunyad <114192306+yunyad@users.noreply.github.com> Date: Sun, 28 Apr 2024 12:29:58 -0700 Subject: [PATCH 11/44] Image Visualization Operator shows multiple images (#2627) This PR fixed Issue #2625. Image visualization operator can show multiple images. ![Screen Recording 2024-04-28 at 10 24 31 AM](https://github.com/Texera/texera/assets/114192306/508c595e-ae02-456e-bb93-7ee18627e821) --- .../ImageViz/ImageVisualizerOpDesc.scala | 28 +++++++++++++------ 1 file changed, 20 insertions(+), 8 deletions(-) diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/ImageViz/ImageVisualizerOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/ImageViz/ImageVisualizerOpDesc.scala index c9ade4a4d3d..acc39333365 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/ImageViz/ImageVisualizerOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/ImageViz/ImageVisualizerOpDesc.scala @@ -8,7 +8,6 @@ import edu.uci.ics.texera.workflow.common.operators.PythonOperatorDescriptor import edu.uci.ics.texera.workflow.common.tuple.schema.{Attribute, AttributeType, Schema} import edu.uci.ics.amber.engine.common.workflow.{InputPort, OutputPort} import edu.uci.ics.texera.workflow.operators.visualization.{ - ImageUtility, VisualizationConstants, VisualizationOperator } @@ -44,21 +43,34 @@ class ImageVisualizerOpDesc extends VisualizationOperator with PythonOperatorDes override def generatePythonCode(): String = { val finalCode = s""" |from pytexera import * - |from PIL import Image - |import numpy as np + |import base64 + |from io import BytesIO | |class ProcessTupleOperator(UDFOperatorV2): + | images_html = [] | | def render_error(self, error_msg): - | return '''

Image is not available.

- |

Reason is: {}

- | '''.format(error_msg) + | return f'

Image is not available.

Reason: {error_msg}

' + | + | def encode_image_to_html(self, binary_image_data): + | try: + | encoded_image_data = base64.b64encode(binary_image_data) + | encoded_image_str = encoded_image_data.decode("utf-8") + | html = f'Image' + | return html + | except Exception as e: + | return self.render_error("Binary input is not valid") | | @overrides | def process_tuple(self, tuple_: Tuple, port: int) -> Iterator[Optional[TupleLike]]: | ${createBinaryData()} - | ${ImageUtility.encodeImageToHTML()} - | yield {"html-content": html} + | self.images_html.append(self.encode_image_to_html(binary_image_data)) + | yield + | + | @overrides + | def on_finish(self, port: int) -> Iterator[Optional[TupleLike]]: + | all_images_html = "
" + "".join(self.images_html) + "
" + | yield {"html-content": all_images_html} |""".stripMargin finalCode } From 1ea2e20b48abb53dfdf64ee121668e4e5c3d2a0d Mon Sep 17 00:00:00 2001 From: Xiaozhen Liu Date: Sun, 28 Apr 2024 22:48:53 -0700 Subject: [PATCH 12/44] Fix Comment Box Positions Not Persisted (#2620) On workflow editor, the positions of comment boxes are not persisted because of a wrong filter in #1674. This PR fixes it. Co-authored-by: Xinyuan Lin --- .../model/workflow-action.service.ts | 17 +++++++++++------ 1 file changed, 11 insertions(+), 6 deletions(-) diff --git a/core/gui/src/app/workspace/service/workflow-graph/model/workflow-action.service.ts b/core/gui/src/app/workspace/service/workflow-graph/model/workflow-action.service.ts index 1f1b5a814fa..fecfd7237ef 100644 --- a/core/gui/src/app/workspace/service/workflow-graph/model/workflow-action.service.ts +++ b/core/gui/src/app/workspace/service/workflow-graph/model/workflow-action.service.ts @@ -841,6 +841,17 @@ export class WorkflowActionService { const offsetY = movedElement.newPosition.y - movedElement.oldPosition.y; this.jointGraphWrapper.setListenPositionChange(false); this.undoRedoService.setListenJointCommand(false); + // Persistence and shared-editing syncing for comment boxes have different interfaces. + // Setting positions inside commentBoxes here only for persistence. + // Syncing uses elementPositionMap. + selectedElements + .filter(elementID => elementID.includes("commentBox")) + .forEach(elementID => { + this.texeraGraph.sharedModel.commentBoxMap + .get(elementID) + ?.set("commentBoxPosition", this.jointGraphWrapper.getElementPosition(elementID)); + }); + // Move other highlighted operators. selectedElements .filter(elementID => elementID !== movedElement.elementID) .forEach(elementID => { @@ -849,12 +860,6 @@ export class WorkflowActionService { elementID, this.jointGraphWrapper.getElementPosition(elementID) ); - // The position of comment box is included in its object, so we only set it here for persistence. - if (elementID.includes("commentBox")) { - this.texeraGraph.sharedModel.commentBoxMap - .get(elementID) - ?.set("commentBoxPosition", this.jointGraphWrapper.getElementPosition(elementID)); - } }); this.jointGraphWrapper.setListenPositionChange(true); this.undoRedoService.setListenJointCommand(true); From c55a76ca479119f52751b9b781fd2fd0375583cc Mon Sep 17 00:00:00 2001 From: Xiaozhen Liu Date: Mon, 29 Apr 2024 10:02:06 -0700 Subject: [PATCH 13/44] Fix Incorrect Size for Revert Version Button (#2624) See title. Before: image After: image --- core/gui/src/app/workspace/component/menu/menu.component.html | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/core/gui/src/app/workspace/component/menu/menu.component.html b/core/gui/src/app/workspace/component/menu/menu.component.html index e63b94afb0e..32dacb63a1a 100644 --- a/core/gui/src/app/workspace/component/menu/menu.component.html +++ b/core/gui/src/app/workspace/component/menu/menu.component.html @@ -40,7 +40,8 @@ nz-button nzType="primary" [disabled]="!workflowVersionService.modificationEnabledBeforeTempWorkflow" - (click)="revertToVersion()"> + (click)="revertToVersion()" + style="width: 160px"> Restore this version {{autoSaveState}} From 1de6a04e44393f23dfe75d0c27dc0135978dc58e Mon Sep 17 00:00:00 2001 From: Bob Bai <43344272+bobbai00@users.noreply.github.com> Date: Sat, 4 May 2024 14:00:11 -0700 Subject: [PATCH 14/44] Add Hugging Face Text Summarization Operator (#2645) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit This PR adds a new operator, called `HuggingFaceTextSummary`. The operator utilizes a pre-trained model on [hugging face](https://huggingface.co/mrm8488/bert-mini2bert-mini-finetuned-cnn_daily_mail-summarization). It takes the input text and output the summary of the input text. ### Runtime resource occupation: around 236MB ### Required packages - transformers - torch ### Properties This operator has the following properties: Screenshot 2024-05-03 at 11 40 56 PM - `attribute`: required. The column to perform the text summary - `resultAttribute`: optional. The result summary's column name. Default value is `summary` ### Demo ![2024-05-03 23 44 49](https://github.com/Texera/texera/assets/43344272/9566499e-81f2-4155-a14e-7496c593e3cf) --- core/amber/operator-requirements.txt | 3 +- .../workflow/common/operators/LogicalOp.scala | 13 +++- .../HuggingFaceTextSummarizationOpDesc.scala | 70 ++++++++++++++++++ .../HuggingFaceTextSummarization.png | Bin 0 -> 13831 bytes 4 files changed, 82 insertions(+), 4 deletions(-) create mode 100644 core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/huggingFace/HuggingFaceTextSummarizationOpDesc.scala create mode 100644 core/gui/src/assets/operator_images/HuggingFaceTextSummarization.png diff --git a/core/amber/operator-requirements.txt b/core/amber/operator-requirements.txt index 89ec61c5bb9..3e5acb42367 100644 --- a/core/amber/operator-requirements.txt +++ b/core/amber/operator-requirements.txt @@ -2,4 +2,5 @@ wordcloud plotly praw pillow -pybase64 \ No newline at end of file +pybase64 +torch \ No newline at end of file diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/operators/LogicalOp.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/operators/LogicalOp.scala index 15be56f76db..db7543ad23c 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/operators/LogicalOp.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/operators/LogicalOp.scala @@ -4,9 +4,9 @@ import com.fasterxml.jackson.annotation.JsonSubTypes.Type import com.fasterxml.jackson.annotation.{ JsonIgnore, JsonProperty, + JsonPropertyDescription, JsonSubTypes, - JsonTypeInfo, - JsonPropertyDescription + JsonTypeInfo } import com.kjetland.jackson.jsonSchema.annotations.JsonSchemaTitle import edu.uci.ics.amber.engine.architecture.deploysemantics.PhysicalOp @@ -34,7 +34,10 @@ import edu.uci.ics.texera.workflow.operators.intersect.IntersectOpDesc import edu.uci.ics.texera.workflow.operators.intervalJoin.IntervalJoinOpDesc import edu.uci.ics.texera.workflow.operators.keywordSearch.KeywordSearchOpDesc import edu.uci.ics.texera.workflow.operators.limit.LimitOpDesc -import edu.uci.ics.texera.workflow.operators.huggingFace.HuggingFaceSentimentAnalysisOpDesc +import edu.uci.ics.texera.workflow.operators.huggingFace.{ + HuggingFaceSentimentAnalysisOpDesc, + HuggingFaceTextSummarizationOpDesc +} import edu.uci.ics.texera.workflow.operators.projection.ProjectionOpDesc import edu.uci.ics.texera.workflow.operators.randomksampling.RandomKSamplingOpDesc import edu.uci.ics.texera.workflow.operators.regex.RegexOpDesc @@ -185,6 +188,10 @@ trait StateTransferFunc new Type( value = classOf[HuggingFaceSentimentAnalysisOpDesc], name = "HuggingFaceSentimentAnalysis" + ), + new Type( + value = classOf[HuggingFaceTextSummarizationOpDesc], + name = "HuggingFaceTextSummarization" ) ) ) diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/huggingFace/HuggingFaceTextSummarizationOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/huggingFace/HuggingFaceTextSummarizationOpDesc.scala new file mode 100644 index 00000000000..cf697127f9f --- /dev/null +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/huggingFace/HuggingFaceTextSummarizationOpDesc.scala @@ -0,0 +1,70 @@ +package edu.uci.ics.texera.workflow.operators.huggingFace + +import com.fasterxml.jackson.annotation.{JsonProperty, JsonPropertyDescription} +import edu.uci.ics.amber.engine.common.workflow.{InputPort, OutputPort} +import edu.uci.ics.texera.workflow.common.metadata.{OperatorGroupConstants, OperatorInfo} +import edu.uci.ics.texera.workflow.common.metadata.annotations.AutofillAttributeName +import edu.uci.ics.texera.workflow.common.operators.PythonOperatorDescriptor +import edu.uci.ics.texera.workflow.common.tuple.schema.{AttributeType, Schema} + +class HuggingFaceTextSummarizationOpDesc extends PythonOperatorDescriptor { + @JsonProperty(value = "attribute", required = true) + @JsonPropertyDescription("attribute to perform text summarization on") + @AutofillAttributeName + var attribute: String = _ + + @JsonProperty( + value = "Result attribute name", + required = false, + defaultValue = "summary" + ) + @JsonPropertyDescription("attribute name of the text summary result") + var resultAttribute: String = _ + + override def generatePythonCode(): String = { + s""" + |from transformers import BertTokenizerFast, EncoderDecoderModel + |import torch + |from pytexera import * + | + |class ProcessTupleOperator(UDFOperatorV2): + | + | def open(self): + | model_name = "mrm8488/bert-mini2bert-mini-finetuned-cnn_daily_mail-summarization" + | self.device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') + | self.tokenizer = BertTokenizerFast.from_pretrained(model_name) + | self.model = EncoderDecoderModel.from_pretrained(model_name).to(self.device) + | + | @overrides + | def process_tuple(self, tuple_: Tuple, port: int) -> Iterator[Optional[TupleLike]]: + | text = tuple_["$attribute"] + | + | inputs = self.tokenizer([text], padding="max_length", truncation=True, max_length=512, return_tensors="pt") + | input_ids = inputs.input_ids.to(self.device) + | attention_mask = inputs.attention_mask.to(self.device) + | + | output = self.model.generate(input_ids, attention_mask=attention_mask) + | summary = self.tokenizer.decode(output[0], skip_special_tokens=True) + | tuple_["$resultAttribute"] = summary + | yield tuple_""".stripMargin + } + + override def operatorInfo: OperatorInfo = + OperatorInfo( + "Hugging Face Text Summarization", + "Summarize the given text content with a mini2bert pre-trained model from Hugging Face", + OperatorGroupConstants.MACHINE_LEARNING_GROUP, + inputPorts = List(InputPort()), + outputPorts = List(OutputPort()) + ) + + override def getOutputSchema(schemas: Array[Schema]): Schema = { + if (resultAttribute == null || resultAttribute.trim.isEmpty) + throw new RuntimeException("Result attribute name should be given") + Schema + .builder() + .add(schemas(0)) + .add(resultAttribute, AttributeType.STRING) + .build() + } +} diff --git a/core/gui/src/assets/operator_images/HuggingFaceTextSummarization.png b/core/gui/src/assets/operator_images/HuggingFaceTextSummarization.png new file mode 100644 index 0000000000000000000000000000000000000000..673b8ea9077dacce2aa4ec76979d849cf7bb6775 GIT binary patch literal 13831 zcmch8Wmg?d)Ahj}g1fr~mxF6?cPD6&5Zs+WaCaxTyL)hVcXxL<9A2*b{SVKY4>fB| z_wKHinyTH^Vake9D2N1z0000*Mp{A@0D$;>g#f_AehPiZ5{pj(Ya%Bl0r>du$?Yso z006i;WF$n@-B&Ms5ZpBu8ii%Z0z~{-L*&E5DN!Zy2ds(9TuRg`cekt`N~eS>U9Yzu zUtX>C&gLIi7AL#XV@1f2$;ZXT9RKWFkX$OHCWye3L$Hg%vR^eXjz~fQkIsE2TY21u zUwyV-iO6`K&g&Ofy{dPb2P4V9z(Yd@h>-nX2|RP-NXbAZC=Zy{hh}-25xxWT0R0_7!4jvvTmEFyzbS$=nx*p+u`32@Y9ARYgz(Gc7Nr zgr%va%jR0W3HLo?Yws=Kp`Y+TRIy$nz7Tat`%HI2&O!VB-te~oX}nG#q-ahroc}uH zEyoumX_h;|ZMR9d7v|v&GSPbr1n39TcLOp%DBuVPEsD&63@s?Km`9NenE;FtD;zXm 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z4|2GoyG*AW#O>%0WN9*;N-rYO+&gPym)2X?Y-^K0LSvTgmmG5K7t%$ze~LG9VZR4x zSVzv{Axe5;$1;<(4mU&pJ!+diV_N#^YGJu6x@gUhe$JFo1&dd4pV=#}X^|dOC}^7u z*^fu)7_YiVkQmZr__+%^y+ctRuj)3Us8 zjH=2#GdYsK6crctmN~c)(P_5c)c-*@R!%LdXmAE>jcV`DfTZzlK8Q)M!s+X zz5p?uyfY^V5TlPdpYwQO>fC=XzM;puibrDuZ_Y{0IOY&B*P50YfLi*^zY(x!b$8Nt zR%On(yJTNEn4pXZb?C6S&3wnGB#+A%v1$k7Wf#{rg~U>b1ilvr2m~*w)(KrX!D;7(VOhI6KT>Xu8Ok-vhuWKoL^VGl0RWQk{BMo6?62Mo}(zjNJ9fJgJpI1LB8LG z>WX$Iuk_A?ZNjj9&$0-6Dif<|hv~01Ch4xcCO7gt3mDHuxdS_3*_Vcv9EFBsL|h3* ziH^r6Ov^86jux&QVzp=O0u3dz5gloV<;c37H$CFk8)kdrn)_bv_(g;uJtpzX;qT|T z`mHAi$XJ3v=w>X^Q2`HUCP6+A&p-!7@sF>=7i0-CHVBl3%Mg>Mzs_SRGQ2XeBi!TN zk@pRYncOy$XlF(Z8banotKeG4S{0x8mrxH>jy~FzYp}{SD Date: Sat, 4 May 2024 15:58:42 -0700 Subject: [PATCH 15/44] Add Default Value for UDF Worker Count (#2643) As title, this PR sets the default values of worker count to be 1 for all UDF operators. --- .../ics/texera/workflow/operators/udf/java/JavaUDFOpDesc.scala | 2 +- .../operators/udf/python/DualInputPortsPythonUDFOpDescV2.scala | 2 +- .../workflow/operators/udf/python/PythonUDFOpDescV2.scala | 2 +- .../operators/udf/python/source/PythonUDFSourceOpDescV2.java | 2 +- 4 files changed, 4 insertions(+), 4 deletions(-) diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/java/JavaUDFOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/java/JavaUDFOpDesc.scala index da36074c622..06f5b759288 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/java/JavaUDFOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/java/JavaUDFOpDesc.scala @@ -38,7 +38,7 @@ class JavaUDFOpDesc extends LogicalOp { @JsonPropertyDescription("Input your code here") var code: String = "" - @JsonProperty(required = true) + @JsonProperty(required = true, defaultValue = "1") @JsonSchemaTitle("Worker count") @JsonPropertyDescription("Specify how many parallel workers to lunch") var workers: Int = Int.box(1) diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/python/DualInputPortsPythonUDFOpDescV2.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/python/DualInputPortsPythonUDFOpDescV2.scala index 7a9e84c831b..9a5928e9756 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/python/DualInputPortsPythonUDFOpDescV2.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/python/DualInputPortsPythonUDFOpDescV2.scala @@ -45,7 +45,7 @@ class DualInputPortsPythonUDFOpDescV2 extends LogicalOp { @JsonPropertyDescription("Input your code here") var code: String = "" - @JsonProperty(required = true) + @JsonProperty(required = true, defaultValue = "1") @JsonSchemaTitle("Worker count") @JsonPropertyDescription("Specify how many parallel workers to lunch") var workers: Int = Int.box(1) diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/python/PythonUDFOpDescV2.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/python/PythonUDFOpDescV2.scala index f9cda84c63e..143992e6a47 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/python/PythonUDFOpDescV2.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/python/PythonUDFOpDescV2.scala @@ -45,7 +45,7 @@ class PythonUDFOpDescV2 extends LogicalOp { @JsonPropertyDescription("Input your code here") var code: String = "" - @JsonProperty(required = true) + @JsonProperty(required = true, defaultValue = "1") @JsonSchemaTitle("Worker count") @JsonPropertyDescription("Specify how many parallel workers to lunch") var workers: Int = Int.box(1) diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/python/source/PythonUDFSourceOpDescV2.java b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/python/source/PythonUDFSourceOpDescV2.java index 137d2d27391..76dcccf48a1 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/python/source/PythonUDFSourceOpDescV2.java +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/python/source/PythonUDFSourceOpDescV2.java @@ -46,7 +46,7 @@ public class PythonUDFSourceOpDescV2 extends SourceOperatorDescriptor { @JsonPropertyDescription("Input your code here") public String code; - @JsonProperty(required = true) + @JsonProperty(required = true, defaultValue = "1") @JsonSchemaTitle("Worker count") @JsonPropertyDescription("Specify how many parallel workers to lunch") public Integer workers = 1; From 7d30341cb9806908559557ecfb8a0107fd3b0dd7 Mon Sep 17 00:00:00 2001 From: Xinyuan Lin Date: Sun, 5 May 2024 01:31:58 -0700 Subject: [PATCH 16/44] Introduce Sklearn ML models (#2641) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit This PR introduces the Sklearn base operator class and the following ML operators from the Sklearn library : 1. [Logistic Regression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) 2. [Logistic Regression Cross Validation](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegressionCV.html) 3. [Ridge Regression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.Ridge.html) 4. [Ridge Regression Cross Validation](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.RidgeCV.html) 5. [Stochastic Gradient Descent](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDClassifier.html) 6. [Passive Aggressive](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.PassiveAggressiveClassifier.html) 7. [Linear Perceptron](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.Perceptron.html) 8. [K-nearest Neighbors](https://scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsClassifier.html) 9. [Nearest Centroid](https://scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestCentroid.html) 10. [Support Vector Machine](https://scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html) 11. [Linear Support Vector Machine](https://scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVC.html) 12. [Decision Tree](https://scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeClassifier.html) 13. [Extra Tree](https://scikit-learn.org/stable/modules/generated/sklearn.tree.ExtraTreeClassifier.html) 14. [Multi-layer Perceptron](https://scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPClassifier.html) 15. [Probability Calibration](https://scikit-learn.org/stable/modules/generated/sklearn.calibration.CalibratedClassifierCV.html) 16. [Gradient Boosting](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingClassifier.html) 17. [Adaptive Boosting](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostClassifier.html) 18. [Random Forest](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html) 19. [Bagging](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.BaggingClassifier.html) 20. [ExtraTrees](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.ExtraTreesClassifier.html) 21. [Gaussian Naive Bayes](https://scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.GaussianNB.html) 22. [Multinomial Naive Bayes](https://scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.MultinomialNB.html) 23. [Complement Naive Bayes](https://scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.ComplementNB.html) 24. [Bernoulli Naive Bayes](https://scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.BernoulliNB.html) 25. [Dummy Classifier](https://scikit-learn.org/stable/modules/generated/sklearn.dummy.DummyClassifier.html) Each ML model operator will take the training and testing datasets as inputs and produce the ML model name, accuracy, and model itself as the output. The ML operators offer a user-friendly interface, allowing you to select the target Y value and view the accuracy on the console. This control enhances your experience and understanding of the ML process. Screenshot 2024-05-02 at 12 42 13 AM ### Usage: 1. The ML models produced by the ML operators can be used in downstream Python UDF by calling the `predict` method: Screenshot 2024-05-02 at 7 04 33 PM 2. The ML models can also be used with the Prediction Operator: Screenshot 2024-05-03 at 12 27 01 AM --- core/amber/operator-requirements.txt | 3 +- .../workflow/common/operators/LogicalOp.scala | 72 ++++++++++++++++++ .../SklearnAdaptiveBoostingOpDesc.scala | 6 ++ .../sklearn/SklearnBaggingOpDesc.scala | 6 ++ .../SklearnBernoulliNaiveBayesOpDesc.scala | 6 ++ .../SklearnComplementNaiveBayesOpDesc.scala | 6 ++ .../sklearn/SklearnDecisionTreeOpDesc.scala | 6 ++ .../SklearnDummyClassifierOpDesc.scala | 6 ++ .../sklearn/SklearnExtraTreeOpDesc.scala | 6 ++ .../sklearn/SklearnExtraTreesOpDesc.scala | 6 ++ .../SklearnGaussianNaiveBayesOpDesc.scala | 6 ++ .../SklearnGradientBoostingOpDesc.scala | 6 ++ .../operators/sklearn/SklearnKNNOpDesc.scala | 6 ++ .../sklearn/SklearnLinearSVMOpDesc.scala | 6 ++ .../SklearnLogisticRegressionCVOpDesc.scala | 6 ++ .../SklearnLogisticRegressionOpDesc.scala | 6 ++ .../operators/sklearn/SklearnMLOpDesc.scala | 69 +++++++++++++++++ .../SklearnMultiLayerPerceptronOpDesc.scala | 6 ++ .../SklearnMultinomialNaiveBayesOpDesc.scala | 6 ++ .../SklearnNearestCentroidOpDesc.scala | 6 ++ .../SklearnPassiveAggressiveOpDesc.scala | 6 ++ .../sklearn/SklearnPerceptronOpDesc.scala | 6 ++ .../sklearn/SklearnPredictionOpDesc.scala | 49 ++++++++++++ .../SklearnProbabilityCalibrationOpDesc.scala | 6 ++ .../sklearn/SklearnRandomForestOpDesc.scala | 6 ++ .../sklearn/SklearnRidgeCVOpDesc.scala | 6 ++ .../sklearn/SklearnRidgeOpDesc.scala | 6 ++ .../operators/sklearn/SklearnSDGOpDesc.scala | 6 ++ .../operators/sklearn/SklearnSVMOpDesc.scala | 6 ++ .../SklearnAdaptiveBoosting.png | Bin 0 -> 117082 bytes .../assets/operator_images/SklearnBagging.png | Bin 0 -> 60221 bytes .../SklearnBernoulliNaiveBayes.png | Bin 0 -> 433434 bytes .../SklearnComplementNaiveBayes.png | Bin 0 -> 74896 bytes .../operator_images/SklearnDecisionTree.png | Bin 0 -> 7095 bytes .../assets/operator_images/SklearnDummy.png | Bin 0 -> 39008 bytes .../operator_images/SklearnExtraTree.png | Bin 0 -> 20903 bytes .../operator_images/SklearnExtraTrees.png | Bin 0 -> 75482 bytes .../SklearnGaussianNaiveBayes.png | Bin 0 -> 69880 bytes .../SklearnGradientBoosting.png | Bin 0 -> 100542 bytes .../src/assets/operator_images/SklearnKNN.png | Bin 0 -> 96537 bytes .../operator_images/SklearnLinearSVM.png | Bin 0 -> 17599 bytes .../SklearnLogisticRegression.png | Bin 0 -> 18324 bytes .../SklearnLogisticRegressionCV.png | Bin 0 -> 10842 bytes .../SklearnMultiLayerPerceptron.png | Bin 0 -> 128735 bytes .../SklearnMultinomialNaiveBayes.png | Bin 0 -> 34729 bytes .../SklearnNearestCentroid.png | Bin 0 -> 214245 bytes .../SklearnPassiveAggressive.png | Bin 0 -> 9322 bytes .../operator_images/SklearnPerceptron.png | Bin 0 -> 13079 bytes .../operator_images/SklearnPrediction.png | Bin 0 -> 98115 bytes .../SklearnProbabilityCalibration.png | Bin 0 -> 83338 bytes .../operator_images/SklearnRandomForest.png | Bin 0 -> 81937 bytes .../assets/operator_images/SklearnRidge.png | Bin 0 -> 24635 bytes .../assets/operator_images/SklearnRidgeCV.png | Bin 0 -> 16258 bytes .../src/assets/operator_images/SklearnSDG.png | Bin 0 -> 22220 bytes .../src/assets/operator_images/SklearnSVM.png | Bin 0 -> 17776 bytes 55 files changed, 342 insertions(+), 1 deletion(-) create mode 100644 core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnAdaptiveBoostingOpDesc.scala create mode 100644 core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnBaggingOpDesc.scala create mode 100644 core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnBernoulliNaiveBayesOpDesc.scala create mode 100644 core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnComplementNaiveBayesOpDesc.scala create mode 100644 core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnDecisionTreeOpDesc.scala create mode 100644 core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnDummyClassifierOpDesc.scala create mode 100644 core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnExtraTreeOpDesc.scala create mode 100644 core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnExtraTreesOpDesc.scala create mode 100644 core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnGaussianNaiveBayesOpDesc.scala create mode 100644 core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnGradientBoostingOpDesc.scala create mode 100644 core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnKNNOpDesc.scala create mode 100644 core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnLinearSVMOpDesc.scala create mode 100644 core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnLogisticRegressionCVOpDesc.scala create mode 100644 core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnLogisticRegressionOpDesc.scala create mode 100644 core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnMLOpDesc.scala create mode 100644 core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnMultiLayerPerceptronOpDesc.scala create mode 100644 core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnMultinomialNaiveBayesOpDesc.scala create mode 100644 core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnNearestCentroidOpDesc.scala create mode 100644 core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnPassiveAggressiveOpDesc.scala create mode 100644 core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnPerceptronOpDesc.scala create mode 100644 core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnPredictionOpDesc.scala create mode 100644 core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnProbabilityCalibrationOpDesc.scala create mode 100644 core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnRandomForestOpDesc.scala create mode 100644 core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnRidgeCVOpDesc.scala create mode 100644 core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnRidgeOpDesc.scala create mode 100644 core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnSDGOpDesc.scala create mode 100644 core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnSVMOpDesc.scala create mode 100644 core/gui/src/assets/operator_images/SklearnAdaptiveBoosting.png create mode 100644 core/gui/src/assets/operator_images/SklearnBagging.png create mode 100644 core/gui/src/assets/operator_images/SklearnBernoulliNaiveBayes.png create mode 100644 core/gui/src/assets/operator_images/SklearnComplementNaiveBayes.png create mode 100644 core/gui/src/assets/operator_images/SklearnDecisionTree.png create mode 100644 core/gui/src/assets/operator_images/SklearnDummy.png create mode 100644 core/gui/src/assets/operator_images/SklearnExtraTree.png create mode 100644 core/gui/src/assets/operator_images/SklearnExtraTrees.png create mode 100644 core/gui/src/assets/operator_images/SklearnGaussianNaiveBayes.png create mode 100644 core/gui/src/assets/operator_images/SklearnGradientBoosting.png create mode 100644 core/gui/src/assets/operator_images/SklearnKNN.png create mode 100644 core/gui/src/assets/operator_images/SklearnLinearSVM.png create mode 100644 core/gui/src/assets/operator_images/SklearnLogisticRegression.png create mode 100644 core/gui/src/assets/operator_images/SklearnLogisticRegressionCV.png create mode 100644 core/gui/src/assets/operator_images/SklearnMultiLayerPerceptron.png create mode 100644 core/gui/src/assets/operator_images/SklearnMultinomialNaiveBayes.png create mode 100644 core/gui/src/assets/operator_images/SklearnNearestCentroid.png create mode 100644 core/gui/src/assets/operator_images/SklearnPassiveAggressive.png create mode 100644 core/gui/src/assets/operator_images/SklearnPerceptron.png create mode 100644 core/gui/src/assets/operator_images/SklearnPrediction.png create mode 100644 core/gui/src/assets/operator_images/SklearnProbabilityCalibration.png create mode 100644 core/gui/src/assets/operator_images/SklearnRandomForest.png create mode 100644 core/gui/src/assets/operator_images/SklearnRidge.png create mode 100644 core/gui/src/assets/operator_images/SklearnRidgeCV.png create mode 100644 core/gui/src/assets/operator_images/SklearnSDG.png create mode 100644 core/gui/src/assets/operator_images/SklearnSVM.png diff --git a/core/amber/operator-requirements.txt b/core/amber/operator-requirements.txt index 3e5acb42367..d75fc19dd52 100644 --- a/core/amber/operator-requirements.txt +++ b/core/amber/operator-requirements.txt @@ -3,4 +3,5 @@ plotly praw pillow pybase64 -torch \ No newline at end of file +torch +scikit-learn \ No newline at end of file diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/operators/LogicalOp.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/operators/LogicalOp.scala index db7543ad23c..cd603a28759 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/operators/LogicalOp.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/operators/LogicalOp.scala @@ -44,6 +44,34 @@ import edu.uci.ics.texera.workflow.operators.regex.RegexOpDesc import edu.uci.ics.texera.workflow.operators.reservoirsampling.ReservoirSamplingOpDesc import edu.uci.ics.texera.workflow.operators.sentiment.SentimentAnalysisOpDesc import edu.uci.ics.texera.workflow.operators.sink.managed.ProgressiveSinkOpDesc +import edu.uci.ics.texera.workflow.operators.sklearn.{ + SklearnAdaptiveBoostingOpDesc, + SklearnBaggingOpDesc, + SklearnBernoulliNaiveBayesOpDesc, + SklearnComplementNaiveBayesOpDesc, + SklearnDecisionTreeOpDesc, + SklearnDummyClassifierOpDesc, + SklearnExtraTreeOpDesc, + SklearnExtraTreesOpDesc, + SklearnGaussianNaiveBayesOpDesc, + SklearnGradientBoostingOpDesc, + SklearnKNNOpDesc, + SklearnLinearSVMOpDesc, + SklearnLogisticRegressionCVOpDesc, + SklearnLogisticRegressionOpDesc, + SklearnMultiLayerPerceptronOpDesc, + SklearnMultinomialNaiveBayesOpDesc, + SklearnNearestCentroidOpDesc, + SklearnPassiveAggressiveOpDesc, + SklearnPerceptronOpDesc, + SklearnPredictionOpDesc, + SklearnProbabilityCalibrationOpDesc, + SklearnRandomForestOpDesc, + SklearnRidgeCVOpDesc, + SklearnRidgeOpDesc, + SklearnSDGOpDesc, + SklearnSVMOpDesc +} import edu.uci.ics.texera.workflow.operators.sort.SortOpDesc import edu.uci.ics.texera.workflow.operators.sortPartitions.SortPartitionsOpDesc import edu.uci.ics.texera.workflow.operators.source.apis.reddit.RedditSearchSourceOpDesc @@ -185,6 +213,50 @@ trait StateTransferFunc new Type(value = classOf[TablesPlotOpDesc], name = "TablesPlot"), new Type(value = classOf[JavaUDFOpDesc], name = "JavaUDF"), new Type(value = classOf[SortOpDesc], name = "Sort"), + new Type(value = classOf[SklearnLogisticRegressionOpDesc], name = "SklearnLogisticRegression"), + new Type( + value = classOf[SklearnLogisticRegressionCVOpDesc], + name = "SklearnLogisticRegressionCV" + ), + new Type(value = classOf[SklearnRidgeOpDesc], name = "SklearnRidge"), + new Type(value = classOf[SklearnRidgeCVOpDesc], name = "SklearnRidgeCV"), + new Type(value = classOf[SklearnSDGOpDesc], name = "SklearnSDG"), + new Type(value = classOf[SklearnPassiveAggressiveOpDesc], name = "SklearnPassiveAggressive"), + new Type(value = classOf[SklearnPerceptronOpDesc], name = "SklearnPerceptron"), + new Type(value = classOf[SklearnKNNOpDesc], name = "SklearnKNN"), + new Type(value = classOf[SklearnNearestCentroidOpDesc], name = "SklearnNearestCentroid"), + new Type(value = classOf[SklearnSVMOpDesc], name = "SklearnSVM"), + new Type(value = classOf[SklearnLinearSVMOpDesc], name = "SklearnLinearSVM"), + new Type(value = classOf[SklearnDecisionTreeOpDesc], name = "SklearnDecisionTree"), + new Type(value = classOf[SklearnExtraTreeOpDesc], name = "SklearnExtraTree"), + new Type( + value = classOf[SklearnMultiLayerPerceptronOpDesc], + name = "SklearnMultiLayerPerceptron" + ), + new Type( + value = classOf[SklearnProbabilityCalibrationOpDesc], + name = "SklearnProbabilityCalibration" + ), + new Type(value = classOf[SklearnRandomForestOpDesc], name = "SklearnRandomForest"), + new Type(value = classOf[SklearnBaggingOpDesc], name = "SklearnBagging"), + new Type(value = classOf[SklearnGradientBoostingOpDesc], name = "SklearnGradientBoosting"), + new Type(value = classOf[SklearnAdaptiveBoostingOpDesc], name = "SklearnAdaptiveBoosting"), + new Type(value = classOf[SklearnExtraTreesOpDesc], name = "SklearnExtraTrees"), + new Type(value = classOf[SklearnGaussianNaiveBayesOpDesc], name = "SklearnGaussianNaiveBayes"), + new Type( + value = classOf[SklearnMultinomialNaiveBayesOpDesc], + name = "SklearnMultinomialNaiveBayes" + ), + new Type( + value = classOf[SklearnComplementNaiveBayesOpDesc], + name = "SklearnComplementNaiveBayes" + ), + new Type( + value = classOf[SklearnBernoulliNaiveBayesOpDesc], + name = "SklearnBernoulliNaiveBayes" + ), + new Type(value = classOf[SklearnDummyClassifierOpDesc], name = "SklearnDummyClassifier"), + new Type(value = classOf[SklearnPredictionOpDesc], name = "SklearnPrediction"), new Type( value = classOf[HuggingFaceSentimentAnalysisOpDesc], name = "HuggingFaceSentimentAnalysis" diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnAdaptiveBoostingOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnAdaptiveBoostingOpDesc.scala new file mode 100644 index 00000000000..70893c7c693 --- /dev/null +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnAdaptiveBoostingOpDesc.scala @@ -0,0 +1,6 @@ +package edu.uci.ics.texera.workflow.operators.sklearn + +class SklearnAdaptiveBoostingOpDesc extends SklearnMLOpDesc { + model = "from sklearn.ensemble import AdaBoostClassifier" + name = "Adaptive Boosting" +} diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnBaggingOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnBaggingOpDesc.scala new file mode 100644 index 00000000000..98cbee10950 --- /dev/null +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnBaggingOpDesc.scala @@ -0,0 +1,6 @@ +package edu.uci.ics.texera.workflow.operators.sklearn + +class SklearnBaggingOpDesc extends SklearnMLOpDesc { + model = "from sklearn.ensemble import BaggingClassifier" + name = "Bagging" +} diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnBernoulliNaiveBayesOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnBernoulliNaiveBayesOpDesc.scala new file mode 100644 index 00000000000..4f8aabeb950 --- /dev/null +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnBernoulliNaiveBayesOpDesc.scala @@ -0,0 +1,6 @@ +package edu.uci.ics.texera.workflow.operators.sklearn + +class SklearnBernoulliNaiveBayesOpDesc extends SklearnMLOpDesc { + model = "from sklearn.naive_bayes import BernoulliNB" + name = "Bernoulli Naive Bayes" +} diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnComplementNaiveBayesOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnComplementNaiveBayesOpDesc.scala new file mode 100644 index 00000000000..cac35f5daf9 --- /dev/null +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnComplementNaiveBayesOpDesc.scala @@ -0,0 +1,6 @@ +package edu.uci.ics.texera.workflow.operators.sklearn + +class SklearnComplementNaiveBayesOpDesc extends SklearnMLOpDesc { + model = "from sklearn.naive_bayes import ComplementNB" + name = "Complement Naive Bayes" +} diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnDecisionTreeOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnDecisionTreeOpDesc.scala new file mode 100644 index 00000000000..815e4047664 --- /dev/null +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnDecisionTreeOpDesc.scala @@ -0,0 +1,6 @@ +package edu.uci.ics.texera.workflow.operators.sklearn + +class SklearnDecisionTreeOpDesc extends SklearnMLOpDesc { + model = "from sklearn.tree import DecisionTreeClassifier" + name = "Decision Tree" +} diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnDummyClassifierOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnDummyClassifierOpDesc.scala new file mode 100644 index 00000000000..286540836a1 --- /dev/null +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnDummyClassifierOpDesc.scala @@ -0,0 +1,6 @@ +package edu.uci.ics.texera.workflow.operators.sklearn + +class SklearnDummyClassifierOpDesc extends SklearnMLOpDesc { + model = "from sklearn.dummy import dummy" + name = "Dummy Classifier" +} diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnExtraTreeOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnExtraTreeOpDesc.scala new file mode 100644 index 00000000000..b7b05a7bcc3 --- /dev/null +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnExtraTreeOpDesc.scala @@ -0,0 +1,6 @@ +package edu.uci.ics.texera.workflow.operators.sklearn + +class SklearnExtraTreeOpDesc extends SklearnMLOpDesc { + model = "from sklearn.tree import ExtraTreeClassifier" + name = "Extra Tree" +} diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnExtraTreesOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnExtraTreesOpDesc.scala new file mode 100644 index 00000000000..8dee19029cb --- /dev/null +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnExtraTreesOpDesc.scala @@ -0,0 +1,6 @@ +package edu.uci.ics.texera.workflow.operators.sklearn + +class SklearnExtraTreesOpDesc extends SklearnMLOpDesc { + model = "from sklearn.ensemble import ExtraTreesClassifier" + name = "Extra Trees" +} diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnGaussianNaiveBayesOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnGaussianNaiveBayesOpDesc.scala new file mode 100644 index 00000000000..b8d378e83e7 --- /dev/null +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnGaussianNaiveBayesOpDesc.scala @@ -0,0 +1,6 @@ +package edu.uci.ics.texera.workflow.operators.sklearn + +class SklearnGaussianNaiveBayesOpDesc extends SklearnMLOpDesc { + model = "from sklearn.naive_bayes import GaussianNB" + name = "Gaussian Naive Bayes" +} diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnGradientBoostingOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnGradientBoostingOpDesc.scala new file mode 100644 index 00000000000..f89ba74c0f2 --- /dev/null +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnGradientBoostingOpDesc.scala @@ -0,0 +1,6 @@ +package edu.uci.ics.texera.workflow.operators.sklearn + +class SklearnGradientBoostingOpDesc extends SklearnMLOpDesc { + model = "from sklearn.ensemble import GradientBoostingClassifier" + name = "Gradient Boosting" +} diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnKNNOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnKNNOpDesc.scala new file mode 100644 index 00000000000..1d60f25dced --- /dev/null +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnKNNOpDesc.scala @@ -0,0 +1,6 @@ +package edu.uci.ics.texera.workflow.operators.sklearn + +class SklearnKNNOpDesc extends SklearnMLOpDesc { + model = "from sklearn.neighbors import KNeighborsClassifier" + name = "K-nearest Neighbors" +} diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnLinearSVMOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnLinearSVMOpDesc.scala new file mode 100644 index 00000000000..1f3a78852a6 --- /dev/null +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnLinearSVMOpDesc.scala @@ -0,0 +1,6 @@ +package edu.uci.ics.texera.workflow.operators.sklearn + +class SklearnLinearSVMOpDesc extends SklearnMLOpDesc { + model = "from sklearn.svm import LinearSVC" + name = "Linear Support Vector Machine" +} diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnLogisticRegressionCVOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnLogisticRegressionCVOpDesc.scala new file mode 100644 index 00000000000..7fddd2f9ebd --- /dev/null +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnLogisticRegressionCVOpDesc.scala @@ -0,0 +1,6 @@ +package edu.uci.ics.texera.workflow.operators.sklearn + +class SklearnLogisticRegressionCVOpDesc extends SklearnMLOpDesc { + model = "from sklearn.linear_model import LogisticRegressionCV" + name = "Logistic Regression Cross Validation" +} diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnLogisticRegressionOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnLogisticRegressionOpDesc.scala new file mode 100644 index 00000000000..8be99e62e50 --- /dev/null +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnLogisticRegressionOpDesc.scala @@ -0,0 +1,6 @@ +package edu.uci.ics.texera.workflow.operators.sklearn + +class SklearnLogisticRegressionOpDesc extends SklearnMLOpDesc { + model = "from sklearn.linear_model import LogisticRegression" + name = "Logistic Regression" +} diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnMLOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnMLOpDesc.scala new file mode 100644 index 00000000000..3d25195b52f --- /dev/null +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnMLOpDesc.scala @@ -0,0 +1,69 @@ +package edu.uci.ics.texera.workflow.operators.sklearn + +import com.fasterxml.jackson.annotation.{JsonIgnore, JsonProperty, JsonPropertyDescription} +import edu.uci.ics.amber.engine.common.workflow.{InputPort, OutputPort, PortIdentity} +import edu.uci.ics.texera.workflow.common.metadata.annotations.AutofillAttributeName +import edu.uci.ics.texera.workflow.common.metadata.{OperatorGroupConstants, OperatorInfo} +import edu.uci.ics.texera.workflow.common.operators.PythonOperatorDescriptor +import edu.uci.ics.texera.workflow.common.tuple.schema.{AttributeType, Schema} + +abstract class SklearnMLOpDesc extends PythonOperatorDescriptor { + @JsonIgnore + var model = "" + + @JsonIgnore + var name = "" + + @JsonProperty(value = "Target Attribute", required = true) + @JsonPropertyDescription("attribute in your dataset corresponding to target") + @AutofillAttributeName + var target: String = _ + + override def generatePythonCode(): String = + s"""$model + |from sklearn.metrics import accuracy_score, f1_score, precision_score, recall_score + |from pytexera import * + |class ProcessTableOperator(UDFTableOperator): + | @overrides + | def process_table(self, table: Table, port: int) -> Iterator[Optional[TableLike]]: + | if port == 0: + | self.model = ${model + .split(" ") + .last}().fit(table.drop("$target", axis=1), table["$target"]) + | else: + | predictions = self.model.predict(table.drop("$target", axis=1)) + | auc = accuracy_score(table["$target"], predictions) + | f1 = f1_score(table["$target"], predictions, average='micro') + | precision = precision_score(table["$target"], predictions, average='micro') + | recall = recall_score(table["$target"], predictions, average='micro') + | print("Accuracy:", auc, ", F1:", f1, ", Precision:", precision, ", Recall:", recall) + | yield {"name" : "$name", + | "accuracy" : auc, + | "f1" : f1, + | "precision" : precision, + | "recall" : recall, + | "model" : self.model}""".stripMargin + + override def operatorInfo: OperatorInfo = + OperatorInfo( + name, + "Sklearn " + name + " Operator", + OperatorGroupConstants.MACHINE_LEARNING_GROUP, + inputPorts = List( + InputPort(PortIdentity(), "training"), + InputPort(PortIdentity(1), "testing", dependencies = List(PortIdentity())) + ), + outputPorts = List(OutputPort()) + ) + + override def getOutputSchema(schemas: Array[Schema]): Schema = + Schema + .builder() + .add("name", AttributeType.STRING) + .add("accuracy", AttributeType.DOUBLE) + .add("f1", AttributeType.DOUBLE) + .add("precision", AttributeType.DOUBLE) + .add("recall", AttributeType.DOUBLE) + .add("model", AttributeType.BINARY) + .build() +} diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnMultiLayerPerceptronOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnMultiLayerPerceptronOpDesc.scala new file mode 100644 index 00000000000..c368ad9257c --- /dev/null +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnMultiLayerPerceptronOpDesc.scala @@ -0,0 +1,6 @@ +package edu.uci.ics.texera.workflow.operators.sklearn + +class SklearnMultiLayerPerceptronOpDesc extends SklearnMLOpDesc { + model = "from sklearn.neural_network import MLPClassifier" + name = "Multi-layer Perceptron" +} diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnMultinomialNaiveBayesOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnMultinomialNaiveBayesOpDesc.scala new file mode 100644 index 00000000000..c2f0caccac6 --- /dev/null +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnMultinomialNaiveBayesOpDesc.scala @@ -0,0 +1,6 @@ +package edu.uci.ics.texera.workflow.operators.sklearn + +class SklearnMultinomialNaiveBayesOpDesc extends SklearnMLOpDesc { + model = "from sklearn.naive_bayes import MultinomialNB" + name = "Multinomial Naive Bayes" +} diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnNearestCentroidOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnNearestCentroidOpDesc.scala new file mode 100644 index 00000000000..88293093a1f --- /dev/null +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnNearestCentroidOpDesc.scala @@ -0,0 +1,6 @@ +package edu.uci.ics.texera.workflow.operators.sklearn + +class SklearnNearestCentroidOpDesc extends SklearnMLOpDesc { + model = "from sklearn.neighbors import NearestCentroid" + name = "Nearest Centroid" +} diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnPassiveAggressiveOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnPassiveAggressiveOpDesc.scala new file mode 100644 index 00000000000..978d9ebc4e2 --- /dev/null +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnPassiveAggressiveOpDesc.scala @@ -0,0 +1,6 @@ +package edu.uci.ics.texera.workflow.operators.sklearn + +class SklearnPassiveAggressiveOpDesc extends SklearnMLOpDesc { + model = "from sklearn.linear_model import PassiveAggressiveClassifier" + name = "Passive Aggressive" +} diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnPerceptronOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnPerceptronOpDesc.scala new file mode 100644 index 00000000000..2f5e120f811 --- /dev/null +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnPerceptronOpDesc.scala @@ -0,0 +1,6 @@ +package edu.uci.ics.texera.workflow.operators.sklearn + +class SklearnPerceptronOpDesc extends SklearnMLOpDesc { + model = "from sklearn.linear_model import Perceptron" + name = "Linear Perceptron" +} diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnPredictionOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnPredictionOpDesc.scala new file mode 100644 index 00000000000..faa177aa20d --- /dev/null +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnPredictionOpDesc.scala @@ -0,0 +1,49 @@ +package edu.uci.ics.texera.workflow.operators.sklearn + +import com.fasterxml.jackson.annotation.{JsonProperty, JsonPropertyDescription} +import edu.uci.ics.amber.engine.common.workflow.{InputPort, OutputPort, PortIdentity} +import edu.uci.ics.texera.workflow.common.metadata.annotations.AutofillAttributeName +import edu.uci.ics.texera.workflow.common.metadata.{OperatorGroupConstants, OperatorInfo} +import edu.uci.ics.texera.workflow.common.operators.PythonOperatorDescriptor +import edu.uci.ics.texera.workflow.common.tuple.schema.{AttributeType, Schema} + +class SklearnPredictionOpDesc extends PythonOperatorDescriptor { + @JsonProperty(value = "Model Attribute", required = true, defaultValue = "model") + @JsonPropertyDescription("attribute corresponding to ML model") + @AutofillAttributeName + var model: String = _ + + @JsonProperty(value = "Output Attribute Name", required = true, defaultValue = "prediction") + @JsonPropertyDescription("attribute name of the prediction result") + var resultAttribute: String = _ + + override def generatePythonCode(): String = + s"""from pytexera import * + |class ProcessTupleOperator(UDFOperatorV2): + | @overrides + | def process_tuple(self, tuple_: Tuple, port: int) -> Iterator[Optional[TupleLike]]: + | if port == 0: + | self.model = tuple_["$model"] + | else: + | tuple_["$resultAttribute"] = str(self.model.predict([tuple_])[0]) + | yield tuple_""".stripMargin + + override def operatorInfo: OperatorInfo = + OperatorInfo( + "Sklearn Prediction", + "Skleanr Prediction Operator", + OperatorGroupConstants.MACHINE_LEARNING_GROUP, + inputPorts = List( + InputPort(PortIdentity(), "model"), + InputPort(PortIdentity(1), "testing", dependencies = List(PortIdentity())) + ), + outputPorts = List(OutputPort()) + ) + + override def getOutputSchema(schemas: Array[Schema]): Schema = + Schema + .builder() + .add(schemas(1)) + .add(resultAttribute, AttributeType.STRING) + .build() +} diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnProbabilityCalibrationOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnProbabilityCalibrationOpDesc.scala new file mode 100644 index 00000000000..19d3f22a535 --- /dev/null +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnProbabilityCalibrationOpDesc.scala @@ -0,0 +1,6 @@ +package edu.uci.ics.texera.workflow.operators.sklearn + +class SklearnProbabilityCalibrationOpDesc extends SklearnMLOpDesc { + model = "from sklearn.calibration import CalibratedClassifierCV" + name = "Probability Calibration" +} diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnRandomForestOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnRandomForestOpDesc.scala new file mode 100644 index 00000000000..159ef40a26e --- /dev/null +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnRandomForestOpDesc.scala @@ -0,0 +1,6 @@ +package edu.uci.ics.texera.workflow.operators.sklearn + +class SklearnRandomForestOpDesc extends SklearnMLOpDesc { + model = "from sklearn.ensemble import RandomForestClassifier" + name = "Random Forest" +} diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnRidgeCVOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnRidgeCVOpDesc.scala new file mode 100644 index 00000000000..f12e9723016 --- /dev/null +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnRidgeCVOpDesc.scala @@ -0,0 +1,6 @@ +package edu.uci.ics.texera.workflow.operators.sklearn + +class SklearnRidgeCVOpDesc extends SklearnMLOpDesc { + model = "from sklearn.linear_model import RidgeClassifierCV" + name = "Ridge Regression Cross Validation" +} diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnRidgeOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnRidgeOpDesc.scala new file mode 100644 index 00000000000..1dce1033eb2 --- /dev/null +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnRidgeOpDesc.scala @@ -0,0 +1,6 @@ +package edu.uci.ics.texera.workflow.operators.sklearn + +class SklearnRidgeOpDesc extends SklearnMLOpDesc { + model = "from sklearn.linear_model import RidgeClassifier" + name = "Ridge Regression" +} diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnSDGOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnSDGOpDesc.scala new file mode 100644 index 00000000000..2c366976459 --- /dev/null +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnSDGOpDesc.scala @@ -0,0 +1,6 @@ +package edu.uci.ics.texera.workflow.operators.sklearn + +class SklearnSDGOpDesc extends SklearnMLOpDesc { + model = "from sklearn.linear_model import SGDClassifier" + name = "Stochastic Gradient Descent" +} diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnSVMOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnSVMOpDesc.scala new file mode 100644 index 00000000000..a1f3507f10e --- /dev/null +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnSVMOpDesc.scala @@ -0,0 +1,6 @@ +package edu.uci.ics.texera.workflow.operators.sklearn + +class SklearnSVMOpDesc extends SklearnMLOpDesc { + model = "from sklearn.svm import SVC" + name = "Support Vector Machine" +} diff --git a/core/gui/src/assets/operator_images/SklearnAdaptiveBoosting.png b/core/gui/src/assets/operator_images/SklearnAdaptiveBoosting.png new file mode 100644 index 0000000000000000000000000000000000000000..2daaf54222aaf34473f2c329db51e505d2059a3c GIT binary patch literal 117082 zcmafbd0b5U|Np7bwG~~LV#?A~7nK%jq{aP28l_x}O4~4!C{5aF8QgnABbrcYv!t$R z6{4nPTq+|Kbz8{PP)gghZ`yvZ_k?Edz2C=g{_*+T&N=V*`?Wk@&)0I!h20iA7S3Bf 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z)*oJwN3jl0eVLupR1eR5xGy%8+p2fk{>_867xTkn!ofa-zK-d)e6_7yN_dZv15d zxygU@3O@edr6YN%h(!v9zdUyljGGKU$(yL@`c#hkV3<119I|5f$EMt2?)JEIw###V zjVY%BK7h1CRtD}Z9MS7Dl)#ArM(h?7-7pmAQA$MUL$2~CCgs7sZUCHx^8u_&QLO~t z8vqKHsA~v(4L1wp94H{V!O59}BDx{Y(QvMs35fj(L@ShYpb&V&`-jf`f9=Jb6RAso z@{LeV^J1i`FIjaHOYZvn@N;;twMWv0)sy@#Q$r%F77_CC8kBS5)>Id|?`san(5U6l3Nbxus zK&TCf*IWo32O7-7v;8Iq%ytGS_qmNDvT?moDkBEOYw0ev%{bz9SNX5kdU+Q9Bk1DJ z-@lX6z}Ccn=liA*BZX;ShtN?c3QrUHLrea2#MWJ#Qvc%!(5w9aKFw(V`*-cHy{MV5 zUH_x!!)$-mIEFPHdixs7i>N3#b{Rxag>i6l8rHS0B$$lQ0jy18T1h~BiUHbx{q2Qh zQ`h+WS$hS<@LzwrneAk4gjaHMQBzZwetm3{RjMV*r=iXXP$@`e7m6gRk#ncmeqQ6Q zs;XK>5VQ%x>D?E?oFKV=EdJ?{4b=dJLDFaUs3yT=$YK}~574oJb~Rv0x@n88lhm1P zQ{Pq@pk{nRg&Wu(>%{9JDYMBcptlP;ngNmm-%)QCvce++FWxDEb Date: Sun, 5 May 2024 17:59:19 -0700 Subject: [PATCH 17/44] Spam SMS Detection Model Operator from Hugging face (#2629) ML operator for Spam SMS Detection from Hugging face. ![Screen Recording 2024-04-29 at 1 38 46 AM](https://github.com/Texera/texera/assets/114192306/a26970f7-0082-4f7e-9663-f7bbd7151a42) --------- Co-authored-by: Xinyuan Lin --- .../workflow/common/operators/LogicalOp.scala | 7 +- .../HuggingFaceSpamSMSDetectionOpDesc.scala | 66 ++++++++++++++++++ .../HuggingFaceSpamSMSDetection.png | Bin 0 -> 21230 bytes 3 files changed, 72 insertions(+), 1 deletion(-) create mode 100644 core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/huggingFace/HuggingFaceSpamSMSDetectionOpDesc.scala create mode 100644 core/gui/src/assets/operator_images/HuggingFaceSpamSMSDetection.png diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/operators/LogicalOp.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/operators/LogicalOp.scala index cd603a28759..fa9d5ea7679 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/operators/LogicalOp.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/operators/LogicalOp.scala @@ -36,7 +36,8 @@ import edu.uci.ics.texera.workflow.operators.keywordSearch.KeywordSearchOpDesc import edu.uci.ics.texera.workflow.operators.limit.LimitOpDesc import edu.uci.ics.texera.workflow.operators.huggingFace.{ HuggingFaceSentimentAnalysisOpDesc, - HuggingFaceTextSummarizationOpDesc + HuggingFaceTextSummarizationOpDesc, + HuggingFaceSpamSMSDetectionOpDesc } import edu.uci.ics.texera.workflow.operators.projection.ProjectionOpDesc import edu.uci.ics.texera.workflow.operators.randomksampling.RandomKSamplingOpDesc @@ -264,6 +265,10 @@ trait StateTransferFunc new Type( value = classOf[HuggingFaceTextSummarizationOpDesc], name = "HuggingFaceTextSummarization" + ), + new Type( + value = classOf[HuggingFaceSpamSMSDetectionOpDesc], + name = "HuggingFaceSpamSMSDetection" ) ) ) diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/huggingFace/HuggingFaceSpamSMSDetectionOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/huggingFace/HuggingFaceSpamSMSDetectionOpDesc.scala new file mode 100644 index 00000000000..44f9b961440 --- /dev/null +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/huggingFace/HuggingFaceSpamSMSDetectionOpDesc.scala @@ -0,0 +1,66 @@ +package edu.uci.ics.texera.workflow.operators.huggingFace + +import com.fasterxml.jackson.annotation.{JsonProperty, JsonPropertyDescription} +import edu.uci.ics.amber.engine.common.workflow.{InputPort, OutputPort} +import edu.uci.ics.texera.workflow.common.metadata.annotations.AutofillAttributeName +import edu.uci.ics.texera.workflow.common.metadata.{OperatorGroupConstants, OperatorInfo} +import edu.uci.ics.texera.workflow.common.operators.PythonOperatorDescriptor +import edu.uci.ics.texera.workflow.common.tuple.schema.{AttributeType, Schema} + +class HuggingFaceSpamSMSDetectionOpDesc extends PythonOperatorDescriptor { + @JsonProperty(value = "attribute", required = true) + @JsonPropertyDescription("column to perform spam detection on") + @AutofillAttributeName + var attribute: String = _ + + @JsonProperty( + value = "Spam result attribute", + required = true, + defaultValue = "is_spam" + ) + @JsonPropertyDescription("column name of whether spam or not") + var resultAttributeSpam: String = _ + + @JsonProperty( + value = "Score result attribute", + required = true, + defaultValue = "score" + ) + @JsonPropertyDescription("column name of Probability for classification") + var resultAttributeProbability: String = _ + + override def generatePythonCode(): String = { + s"""from transformers import pipeline + |from pytexera import * + | + |class ProcessTupleOperator(UDFOperatorV2): + | + | def open(self): + | self.pipeline = pipeline("text-classification", model="mrm8488/bert-tiny-finetuned-sms-spam-detection") + | + | @overrides + | def process_tuple(self, tuple_: Tuple, port: int) -> Iterator[Optional[TupleLike]]: + | result = self.pipeline(tuple_["$attribute"])[0] + | tuple_["$resultAttributeSpam"] = (result["label"] == "LABEL_1") + | tuple_["$resultAttributeProbability"] = result["score"] + | yield tuple_""".stripMargin + } + + override def operatorInfo: OperatorInfo = + OperatorInfo( + "Hugging Face Spam Detection", + "Spam Detection by SMS Spam Detection Model from Hugging Face", + OperatorGroupConstants.MACHINE_LEARNING_GROUP, + inputPorts = List(InputPort()), + outputPorts = List(OutputPort()) + ) + + override def getOutputSchema(schemas: Array[Schema]): Schema = { + Schema + .builder() + .add(schemas(0)) + .add(resultAttributeSpam, AttributeType.BOOLEAN) + .add(resultAttributeProbability, AttributeType.DOUBLE) + .build() + } +} diff --git a/core/gui/src/assets/operator_images/HuggingFaceSpamSMSDetection.png b/core/gui/src/assets/operator_images/HuggingFaceSpamSMSDetection.png new file mode 100644 index 0000000000000000000000000000000000000000..7f2802d620843799ee5a4c914e30daf348596b31 GIT binary patch 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zu6=32yysN2w?yD^sVj{9<3>FlG%9DFh)k3elR-B5GSoEly(&h2T$K3ubAS_p7>fv- zeSHIavBy2T Date: Sun, 5 May 2024 20:12:35 -0700 Subject: [PATCH 18/44] Result Panel: Plot Visualization (#2646) This PR puts the visualization of plots inside the result panel. The plots are resizable as the result panel resized. https://github.com/Texera/texera/assets/86388854/6c70b898-55ca-4603-8393-a071e62d08ac --------- Co-authored-by: MiuMiuMiue Co-authored-by: mengw15 <125719918+mengw15@users.noreply.github.com> Co-authored-by: aglinxinyuan --- core/gui/src/app/app.module.ts | 2 - .../result-panel/result-panel.component.html | 3 - .../result-panel/result-panel.component.scss | 1 - .../result-panel/result-panel.component.ts | 22 +++---- .../result-table-frame.component.ts | 4 +- .../visualization-frame.component.html | 24 ------- .../visualization-frame.component.scss | 8 --- .../visualization-frame.component.ts | 62 ------------------- ...visualization-frame-content.component.scss | 6 +- .../visualization-frame-content.component.ts | 23 +++++-- 10 files changed, 36 insertions(+), 119 deletions(-) delete mode 100644 core/gui/src/app/workspace/component/result-panel/visualization-frame/visualization-frame.component.html delete mode 100644 core/gui/src/app/workspace/component/result-panel/visualization-frame/visualization-frame.component.scss delete mode 100644 core/gui/src/app/workspace/component/result-panel/visualization-frame/visualization-frame.component.ts diff --git a/core/gui/src/app/app.module.ts b/core/gui/src/app/app.module.ts index cd69a68d564..0a53a47d533 100644 --- a/core/gui/src/app/app.module.ts +++ b/core/gui/src/app/app.module.ts @@ -53,7 +53,6 @@ import { PropertyEditorComponent } from "./workspace/component/property-editor/p import { TypeCastingDisplayComponent } from "./workspace/component/property-editor/typecasting-display/type-casting-display.component"; import { ResultPanelComponent } from "./workspace/component/result-panel/result-panel.component"; import { VisualizationFrameContentComponent } from "./workspace/component/visualization-panel-content/visualization-frame-content.component"; -import { VisualizationFrameComponent } from "./workspace/component/result-panel/visualization-frame/visualization-frame.component"; import { WorkflowEditorComponent } from "./workspace/component/workflow-editor/workflow-editor.component"; import { WorkspaceComponent } from "./workspace/component/workspace.component"; import { NzCardModule } from "ng-zorro-antd/card"; @@ -169,7 +168,6 @@ registerLocaleData(en); PresetWrapperComponent, MultiSchemaTypeComponent, NullTypeComponent, - VisualizationFrameComponent, VisualizationFrameContentComponent, CodeareaCustomTemplateComponent, CodeEditorComponent, diff --git a/core/gui/src/app/workspace/component/result-panel/result-panel.component.html b/core/gui/src/app/workspace/component/result-panel/result-panel.component.html index 73679d86cbe..a895bd4b846 100644 --- a/core/gui/src/app/workspace/component/result-panel/result-panel.component.html +++ b/core/gui/src/app/workspace/component/result-panel/result-panel.component.html @@ -1,5 +1,3 @@ - -

No results available to display.

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-
diff --git a/core/gui/src/app/workspace/component/result-panel/result-panel.component.scss b/core/gui/src/app/workspace/component/result-panel/result-panel.component.scss index 386e2c57f7f..a3ec5226274 100644 --- a/core/gui/src/app/workspace/component/result-panel/result-panel.component.scss +++ b/core/gui/src/app/workspace/component/result-panel/result-panel.component.scss @@ -42,7 +42,6 @@ $type-colors: ( ); #content { - height: 100%; overflow-y: auto; padding-top: 38px; } diff --git a/core/gui/src/app/workspace/component/result-panel/result-panel.component.ts b/core/gui/src/app/workspace/component/result-panel/result-panel.component.ts index 2cef987944c..1f0e1311564 100644 --- a/core/gui/src/app/workspace/component/result-panel/result-panel.component.ts +++ b/core/gui/src/app/workspace/component/result-panel/result-panel.component.ts @@ -7,7 +7,6 @@ import { ResultTableFrameComponent } from "./result-table-frame/result-table-fra import { ConsoleFrameComponent } from "./console-frame/console-frame.component"; import { WorkflowResultService } from "../../service/workflow-result/workflow-result.service"; import { PanelResizeService } from "../../service/workflow-result/panel-resize/panel-resize.service"; -import { VisualizationFrameComponent } from "./visualization-frame/visualization-frame.component"; import { filter } from "rxjs/operators"; import { UntilDestroy, untilDestroyed } from "@ngneat/until-destroy"; import { isPythonUdf, isSink } from "../../service/workflow-graph/model/workflow-graph"; @@ -15,6 +14,7 @@ import { WorkflowVersionService } from "../../../dashboard/user/service/workflow import { ErrorFrameComponent } from "./error-frame/error-frame.component"; import { WorkflowConsoleService } from "../../service/workflow-console/workflow-console.service"; import { NzResizeEvent } from "ng-zorro-antd/resizable"; +import { VisualizationFrameContentComponent } from "../visualization-panel-content/visualization-frame-content.component"; /** * ResultPanelComponent is the bottom level area that displays the @@ -37,15 +37,6 @@ export class ResultPanelComponent implements OnInit, OnDestroy { maxWidth = window.innerWidth; maxHeight = window.innerHeight; - onResize({ width, height }: NzResizeEvent) { - cancelAnimationFrame(this.id); - this.id = requestAnimationFrame(() => { - this.width = width!; - this.height = height!; - this.resizeService.changePanelSize(this.width, this.height); - }); - } - // the highlighted operator ID for display result table / visualization / breakpoint currentOperatorId?: string | undefined; @@ -223,7 +214,7 @@ export class ResultPanelComponent implements OnInit, OnDestroy { } else if (resultService) { // display visualization result this.frameComponentConfigs.set("Result", { - component: VisualizationFrameComponent, + component: VisualizationFrameContentComponent, componentInputs: { operatorId }, }); } @@ -258,4 +249,13 @@ export class ResultPanelComponent implements OnInit, OnDestroy { this.height = 32.5; this.width = 0; } + + onResize({ width, height }: NzResizeEvent) { + cancelAnimationFrame(this.id); + this.id = requestAnimationFrame(() => { + this.width = width!; + this.height = height!; + this.resizeService.changePanelSize(this.width, this.height); + }); + } } diff --git a/core/gui/src/app/workspace/component/result-panel/result-table-frame/result-table-frame.component.ts b/core/gui/src/app/workspace/component/result-panel/result-table-frame/result-table-frame.component.ts index 04d2d75d307..2b6daeea714 100644 --- a/core/gui/src/app/workspace/component/result-panel/result-table-frame/result-table-frame.component.ts +++ b/core/gui/src/app/workspace/component/result-panel/result-table-frame/result-table-frame.component.ts @@ -104,8 +104,8 @@ export class ResultTableFrameComponent implements OnInit, OnChanges { } private adjustPageSizeBasedOnPanelSize(panelHeight: number) { - const rowHeight = 35; - let extra: number = Math.floor((panelHeight - 200) / rowHeight); + const rowHeight = 36; + let extra: number = Math.floor((panelHeight - 170) / rowHeight); this.pageSize = 1 + extra; this.resizeService.pageSize = this.pageSize; } diff --git a/core/gui/src/app/workspace/component/result-panel/visualization-frame/visualization-frame.component.html b/core/gui/src/app/workspace/component/result-panel/visualization-frame/visualization-frame.component.html deleted file mode 100644 index 66ea2ccfdd3..00000000000 --- a/core/gui/src/app/workspace/component/result-panel/visualization-frame/visualization-frame.component.html +++ /dev/null @@ -1,24 +0,0 @@ - - - -
-
- Visualization - - - -
-
- diff --git a/core/gui/src/app/workspace/component/result-panel/visualization-frame/visualization-frame.component.scss b/core/gui/src/app/workspace/component/result-panel/visualization-frame/visualization-frame.component.scss deleted file mode 100644 index ca4e29ec9b6..00000000000 --- a/core/gui/src/app/workspace/component/result-panel/visualization-frame/visualization-frame.component.scss +++ /dev/null @@ -1,8 +0,0 @@ -::ng-deep .cdk-overlay-pane { - /* Target the modal content */ - .ant-modal-content { - /* Enable resizing behavior */ - resize: both; - overflow: auto; - } -} diff --git a/core/gui/src/app/workspace/component/result-panel/visualization-frame/visualization-frame.component.ts b/core/gui/src/app/workspace/component/result-panel/visualization-frame/visualization-frame.component.ts deleted file mode 100644 index 4fd8760e815..00000000000 --- a/core/gui/src/app/workspace/component/result-panel/visualization-frame/visualization-frame.component.ts +++ /dev/null @@ -1,62 +0,0 @@ -import { Component, Input } from "@angular/core"; -import { NzModalRef, NzModalService } from "ng-zorro-antd/modal"; -import { VisualizationFrameContentComponent } from "../../visualization-panel-content/visualization-frame-content.component"; -import { ViewChild, TemplateRef } from "@angular/core"; -import { FullscreenExitOutline, FullscreenOutline } from "@ant-design/icons-angular/icons"; -import { NZ_ICONS } from "ng-zorro-antd/icon"; - -/** - * VisualizationFrameComponent displays the button for visualization in ResultPanel when the result type is chart. - * - * When user click on button, this component will open VisualizationFrameContentComponent and display figure. - * User could click close at the button of VisualizationFrameContentComponent to exit the visualization panel. - */ -@Component({ - selector: "texera-visualization-frame", - templateUrl: "./visualization-frame.component.html", - styleUrls: ["./visualization-frame.component.scss"], - providers: [{ provide: NZ_ICONS, useValue: [FullscreenExitOutline, FullscreenOutline] }], -}) -export class VisualizationFrameComponent { - @Input() operatorId?: string; - @ViewChild("modalTitle") modalTitle: TemplateRef<{}>; - modalRef?: NzModalRef; - isFullscreen: Boolean = false; - - constructor(private modalService: NzModalService) { - this.modalTitle = {} as TemplateRef; - } - - onClickVisualize(): void { - if (!this.operatorId) { - return; - } - this.modalRef = this.modalService.create({ - nzTitle: this.modalTitle, - nzStyle: { top: "20px", width: "70vw", height: "78vh" }, - nzContent: VisualizationFrameContentComponent, - nzFooter: null, // null indicates that the footer of the window would be hidden - nzBodyStyle: { width: "70vw", height: "74vh" }, - nzData: { operatorId: this.operatorId }, - }); - this.isFullscreen = false; - } - - toggleFullscreen(): void { - this.isFullscreen = !this.isFullscreen; - if (!this.modalRef) { - return; - } - if (!this.isFullscreen) { - this.modalRef.updateConfig({ - nzStyle: { top: "20px", width: "70vw", height: "78vh" }, - nzBodyStyle: { width: "70vw", height: "74vh" }, - }); - } else { - this.modalRef.updateConfig({ - nzStyle: { top: "5px", bottom: "0", left: "0", right: "0", width: "100vw", height: "94vh" }, - nzBodyStyle: { width: "98vw", height: "92vh" }, - }); - } - } -} diff --git a/core/gui/src/app/workspace/component/visualization-panel-content/visualization-frame-content.component.scss b/core/gui/src/app/workspace/component/visualization-panel-content/visualization-frame-content.component.scss index 6a1233e5a6f..b7f944b6f88 100644 --- a/core/gui/src/app/workspace/component/visualization-panel-content/visualization-frame-content.component.scss +++ b/core/gui/src/app/workspace/component/visualization-panel-content/visualization-frame-content.component.scss @@ -1,4 +1,6 @@ #html-content { - width: 100%; - height: 100%; + position: fixed; + width: calc(100% - 115px); + height: calc(100% - 40px); + border: none; } diff --git a/core/gui/src/app/workspace/component/visualization-panel-content/visualization-frame-content.component.ts b/core/gui/src/app/workspace/component/visualization-panel-content/visualization-frame-content.component.ts index d9919ed92de..15289f60049 100644 --- a/core/gui/src/app/workspace/component/visualization-panel-content/visualization-frame-content.component.ts +++ b/core/gui/src/app/workspace/component/visualization-panel-content/visualization-frame-content.component.ts @@ -1,9 +1,8 @@ -import { AfterContentInit, Component, inject } from "@angular/core"; +import { AfterContentInit, Component, Input } from "@angular/core"; import { DomSanitizer } from "@angular/platform-browser"; import { WorkflowResultService } from "../../service/workflow-result/workflow-result.service"; import { auditTime, filter } from "rxjs/operators"; import { untilDestroyed, UntilDestroy } from "@ngneat/until-destroy"; -import { NZ_MODAL_DATA } from "ng-zorro-antd/modal"; @UntilDestroy() @Component({ @@ -12,7 +11,8 @@ import { NZ_MODAL_DATA } from "ng-zorro-antd/modal"; styleUrls: ["./visualization-frame-content.component.scss"], }) export class VisualizationFrameContentComponent implements AfterContentInit { - operatorId: string = inject(NZ_MODAL_DATA).operatorId; + // operatorId: string = inject(NZ_MODAL_DATA).operatorId; + @Input() operatorId?: string; // progressive visualization update and redraw interval in milliseconds public static readonly UPDATE_INTERVAL_MS = 2000; htmlData: any = ""; @@ -49,6 +49,21 @@ export class VisualizationFrameContentComponent implements AfterContentInit { if (!data) { return; } - this.htmlData = this.sanitizer.bypassSecurityTrustHtml(Object(data[0])["html-content"]); // this line bypasses angular security + + const parser = new DOMParser(); + const doc = parser.parseFromString(Object(data[0])["html-content"], "text/html"); + + doc.documentElement.style.height = "100%"; + doc.body.style.height = "100%"; + + const firstDiv = doc.body.querySelector("div"); + if (firstDiv) { + firstDiv.style.height = "100%"; + } + + const serializer = new XMLSerializer(); + const newHtmlString = serializer.serializeToString(doc); + + this.htmlData = this.sanitizer.bypassSecurityTrustHtml(newHtmlString); // this line bypasses angular security } } From c524f06de3e5b50ba8e58e658a46e8ad7fe25e5e Mon Sep 17 00:00:00 2001 From: Xiaozhen Liu Date: Sun, 5 May 2024 21:18:03 -0700 Subject: [PATCH 19/44] Add HuggingFace Iris-dataset Logistic Regression Binary Classification Inference Operator (#2628) This PR adds a simple and lightweight ML-inference operator based on a pre-trained HuggingFace model found here: https://huggingface.co/sadhaklal/logistic-regression-iris. The ML task performed by this operator is a binary classification on the [Iris](https://archive.ics.uci.edu/dataset/53/iris) dataset. [The dataset CSV can be accessed in HuggingFace.](https://huggingface.co/datasets/scikit-learn/iris/blob/main/Iris.csv) - The operator is only supposed to work on the Iris dataset. - It takes two numerical features, `PetalLengthCm` and `PetalWidthCm`. - It predicts a `Species` attribute. The `Species` prediction only supports `Iris-setosa` and `Not Iris-etosa`, i.e., it is a binary classification. - Additionally, the operator also outputs the probability of the input being `Iris-setosa`. --- .../workflow/common/operators/LogicalOp.scala | 7 +- ...gingFaceIrisLogisticRegressionOpDesc.scala | 106 ++++++++++++++++++ .../HuggingFaceIrisLogisticRegression.png | Bin 0 -> 46540 bytes 3 files changed, 112 insertions(+), 1 deletion(-) create mode 100644 core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/huggingFace/HuggingFaceIrisLogisticRegressionOpDesc.scala create mode 100644 core/gui/src/assets/operator_images/HuggingFaceIrisLogisticRegression.png diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/operators/LogicalOp.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/operators/LogicalOp.scala index fa9d5ea7679..2d71e78554e 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/operators/LogicalOp.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/operators/LogicalOp.scala @@ -37,7 +37,8 @@ import edu.uci.ics.texera.workflow.operators.limit.LimitOpDesc import edu.uci.ics.texera.workflow.operators.huggingFace.{ HuggingFaceSentimentAnalysisOpDesc, HuggingFaceTextSummarizationOpDesc, - HuggingFaceSpamSMSDetectionOpDesc + HuggingFaceSpamSMSDetectionOpDesc, + HuggingFaceIrisLogisticRegressionOpDesc } import edu.uci.ics.texera.workflow.operators.projection.ProjectionOpDesc import edu.uci.ics.texera.workflow.operators.randomksampling.RandomKSamplingOpDesc @@ -269,6 +270,10 @@ trait StateTransferFunc new Type( value = classOf[HuggingFaceSpamSMSDetectionOpDesc], name = "HuggingFaceSpamSMSDetection" + ), + new Type( + value = classOf[HuggingFaceIrisLogisticRegressionOpDesc], + name = "HuggingFaceIrisLogisticRegression" ) ) ) diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/huggingFace/HuggingFaceIrisLogisticRegressionOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/huggingFace/HuggingFaceIrisLogisticRegressionOpDesc.scala new file mode 100644 index 00000000000..dd8245a732b --- /dev/null +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/huggingFace/HuggingFaceIrisLogisticRegressionOpDesc.scala @@ -0,0 +1,106 @@ +package edu.uci.ics.texera.workflow.operators.huggingFace + +import com.fasterxml.jackson.annotation.{JsonProperty, JsonPropertyDescription} +import edu.uci.ics.amber.engine.common.workflow.{InputPort, OutputPort} +import edu.uci.ics.texera.workflow.common.metadata.{OperatorGroupConstants, OperatorInfo} +import edu.uci.ics.texera.workflow.common.metadata.annotations.AutofillAttributeName +import edu.uci.ics.texera.workflow.common.operators.PythonOperatorDescriptor +import edu.uci.ics.texera.workflow.common.tuple.schema.{AttributeType, Schema} + +class HuggingFaceIrisLogisticRegressionOpDesc extends PythonOperatorDescriptor { + + @JsonProperty(value = "petalLengthCmAttribute", required = true) + @JsonPropertyDescription("attribute in your dataset corresponding to PetalLengthCm") + @AutofillAttributeName + var petalLengthCmAttribute: String = _ + + @JsonProperty(value = "petalWidthCmAttribute", required = true) + @JsonPropertyDescription("attribute in your dataset corresponding to PetalWidthCm") + @AutofillAttributeName + var petalWidthCmAttribute: String = _ + + @JsonProperty( + value = "prediction class name", + required = true, + defaultValue = "Species_prediction" + ) + @JsonPropertyDescription("output attribute name for the predicted class of species") + var predictionClassName: String = _ + + @JsonProperty( + value = "prediction probability name", + required = true, + defaultValue = "Species_probability" + ) + @JsonPropertyDescription( + "output attribute name for the prediction's probability of being a Iris-setosa" + ) + var predictionProbabilityName: String = _ + + /** + * Python code to apply a pre-trained liner regression model on the Iris dataset. + * For more info about the model, see https://huggingface.co/sadhaklal/logistic-regression-iris. + * @return a String representation of the executable Python source code. + */ + override def generatePythonCode(): String = { + s"""from pytexera import * + |import numpy as np + |import torch + |import torch.nn as nn + |from huggingface_hub import PyTorchModelHubMixin + | + |class ProcessTupleOperator(UDFOperatorV2): + | def open(self): + | class LinearModel(nn.Module, PyTorchModelHubMixin): + | def __init__(self): + | super().__init__() + | self.fc = nn.Linear(2, 1) + | + | def forward(self, x): + | out = self.fc(x) + | return out + | + | self.model = LinearModel.from_pretrained("sadhaklal/logistic-regression-iris") + | self.model.eval() + | + | @overrides + | def process_tuple(self, tuple_: Tuple, port: int) -> Iterator[Optional[TupleLike]]: + | training_features_means = [3.72666667, 1.17619048] + | training_features_stds = [1.72528903, 0.73788937] + | length = tuple_["$petalLengthCmAttribute"] + | width = tuple_["$petalWidthCmAttribute"] + | features = np.array([[length, width]]) + | features = ((features - training_features_means) / training_features_stds) + | features = torch.from_numpy(features).float() + | with torch.no_grad(): + | logits = self.model(features) + | proba = torch.sigmoid(logits.squeeze()) + | preds = (proba > 0.5).long() + | tuple_["$predictionProbabilityName"] = float(proba) + | tuple_["$predictionClassName"] = "Iris-setosa" if preds == 1 else "Not Iris-setosa" + | yield tuple_""".stripMargin + } + + override def operatorInfo: OperatorInfo = + OperatorInfo( + "Hugging Face Iris Logistic Regression", + "Predict whether an iris is an Iris-setosa using a pre-trained logistic regression model", + OperatorGroupConstants.MACHINE_LEARNING_GROUP, + inputPorts = List(InputPort()), + outputPorts = List(OutputPort()) + ) + + override def getOutputSchema(schemas: Array[Schema]): Schema = { + if ( + predictionClassName == null || predictionClassName.trim.isEmpty || + predictionProbabilityName == null || predictionProbabilityName.trim.isEmpty + ) + throw new RuntimeException("Result attribute name should not be empty") + Schema + .builder() + .add(schemas(0)) + .add(predictionClassName, AttributeType.STRING) + .add(predictionProbabilityName, AttributeType.DOUBLE) + .build() + } +} diff --git a/core/gui/src/assets/operator_images/HuggingFaceIrisLogisticRegression.png b/core/gui/src/assets/operator_images/HuggingFaceIrisLogisticRegression.png new file mode 100644 index 0000000000000000000000000000000000000000..4f747d93533a761f3f0c6b745951c7d15f592f11 GIT binary patch literal 46540 zcmY(pV{~Of*EJd&C-%vSlkV8IZFD+T$F^eyDtw$-t1`}XsG&wampYmeG%*4lH; zRjbC>`^T;dSCp4PM!-h^0|P^rk`z_`XAA%J6gY@~cfPio(SHWqQCUJ5ta^&@6bi1D8e4wjLH`%g{F zTvgLaQ%;uK$kv+Pz}VK%gx<~C?mtmryl&k8ptXsU0m#kT%Epn~jgRzy7~KExf7}eD zp#PybS@Mx;$|-_GY#mHM?DUNEjHLVsAP|Vx!Pt~rSycSL;r~W_q`#b;?6?^iTwPu1 zU0LXD9n2V*xVX3&7?~NEnd$y9=p5Z`oDAIPY#hn{kI4V4BWmJk+WNvE%`j4)G 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z)xY~!>aOV6(d(VBTE7{de#9EMU9|u3+snt>-#mM9`stqy|6%+$tM+HNi=)Qw^;+|~ zj#j7R+2(RE{QPk}#%s8xNw3~zN3bk#H5i*Qr9XuT7X9Q94}R9^x8>Jc4Dy@Hs_{Fi zHZjxAG~8xogvpe|KtKX;Gb>EDNT6s2AMCn#+ooPc&o3L|hskDf%5p|x;~veC!r48WMYx`H&Nae~SgkN@PK|MGwQpZ|?e3LTXON2eN?YIXYRi!TpH9lVEtzqo5=9V+ph7Y|Qv_Wb@cwB0VCd zh;^vaQw+~$n@A(>Y3{NZ|I}^Ev*A}H^JXgH;iiI_;oG;j_o5HfhSi>vOI|<~951*U z*($Iu@F-MPLb{6%Dh!^6?ts>2l;xzM2ft%4l5x#lNib`PZ30iZyRbzRom4S}?~ ztaJA15SeXX_@C7OO3Z%JjLV#J2WAc#pgV<5K)ff1MEG&aAmGsxAoK9RHM1)-3nNPe zLvStnuDDqESKZ}l)%BTPZT8Rq>Mwrr7r&?}1gXtJ|8zFnwv{6o9`l}vEh1G=nQR0i zj2Ek0O^nrd{-=L+EXv^aUH|w0b#{Msby8Qhe|GkK-|cCtkp+S)c9@b+0S0*?hQ?__ zs0!1eU$@ov&XuWeVUWf50HQ$)v$Iq=!BqoN`XU(r2xg1*Vf(j|z#A4NEzo9Xu#wDgneE Date: Mon, 6 May 2024 09:21:04 -0700 Subject: [PATCH 20/44] Add sklearn linear regression operator (#2647) This PR adds a new operator "SklearnLinearRegression" from sklearn. ![2024-05-06 05 16 35](https://github.com/Texera/texera/assets/17627829/757d85e2-767b-4d8b-9c6d-00d614479813) --- .../workflow/common/operators/LogicalOp.scala | 6 +- .../SklearnLinearRegressionOpDesc.scala | 7 +++ .../operators/sklearn/SklearnMLOpDesc.scala | 58 +++++++++++++----- .../SklearnLinearRegression.png | Bin 0 -> 13177 bytes 4 files changed, 53 insertions(+), 18 deletions(-) create mode 100644 core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnLinearRegressionOpDesc.scala create mode 100644 core/gui/src/assets/operator_images/SklearnLinearRegression.png diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/operators/LogicalOp.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/operators/LogicalOp.scala index 2d71e78554e..cf0607f4c81 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/operators/LogicalOp.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/operators/LogicalOp.scala @@ -35,10 +35,10 @@ import edu.uci.ics.texera.workflow.operators.intervalJoin.IntervalJoinOpDesc import edu.uci.ics.texera.workflow.operators.keywordSearch.KeywordSearchOpDesc import edu.uci.ics.texera.workflow.operators.limit.LimitOpDesc import edu.uci.ics.texera.workflow.operators.huggingFace.{ + HuggingFaceIrisLogisticRegressionOpDesc, HuggingFaceSentimentAnalysisOpDesc, - HuggingFaceTextSummarizationOpDesc, HuggingFaceSpamSMSDetectionOpDesc, - HuggingFaceIrisLogisticRegressionOpDesc + HuggingFaceTextSummarizationOpDesc } import edu.uci.ics.texera.workflow.operators.projection.ProjectionOpDesc import edu.uci.ics.texera.workflow.operators.randomksampling.RandomKSamplingOpDesc @@ -58,6 +58,7 @@ import edu.uci.ics.texera.workflow.operators.sklearn.{ SklearnGaussianNaiveBayesOpDesc, SklearnGradientBoostingOpDesc, SklearnKNNOpDesc, + SklearnLinearRegressionOpDesc, SklearnLinearSVMOpDesc, SklearnLogisticRegressionCVOpDesc, SklearnLogisticRegressionOpDesc, @@ -229,6 +230,7 @@ trait StateTransferFunc new Type(value = classOf[SklearnNearestCentroidOpDesc], name = "SklearnNearestCentroid"), new Type(value = classOf[SklearnSVMOpDesc], name = "SklearnSVM"), new Type(value = classOf[SklearnLinearSVMOpDesc], name = "SklearnLinearSVM"), + new Type(value = classOf[SklearnLinearRegressionOpDesc], name = "SklearnLinearRegression"), new Type(value = classOf[SklearnDecisionTreeOpDesc], name = "SklearnDecisionTree"), new Type(value = classOf[SklearnExtraTreeOpDesc], name = "SklearnExtraTree"), new Type( diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnLinearRegressionOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnLinearRegressionOpDesc.scala new file mode 100644 index 00000000000..e7f2524f402 --- /dev/null +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnLinearRegressionOpDesc.scala @@ -0,0 +1,7 @@ +package edu.uci.ics.texera.workflow.operators.sklearn + +class SklearnLinearRegressionOpDesc extends SklearnMLOpDesc { + model = "from sklearn.linear_model import LinearRegression" + name = "Linear Regression" + classification = false +} diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnMLOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnMLOpDesc.scala index 3d25195b52f..e189ab20220 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnMLOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnMLOpDesc.scala @@ -8,12 +8,16 @@ import edu.uci.ics.texera.workflow.common.operators.PythonOperatorDescriptor import edu.uci.ics.texera.workflow.common.tuple.schema.{AttributeType, Schema} abstract class SklearnMLOpDesc extends PythonOperatorDescriptor { + @JsonIgnore var model = "" @JsonIgnore var name = "" + @JsonIgnore + var classification: Boolean = true + @JsonProperty(value = "Target Attribute", required = true) @JsonPropertyDescription("attribute in your dataset corresponding to target") @AutofillAttributeName @@ -21,7 +25,8 @@ abstract class SklearnMLOpDesc extends PythonOperatorDescriptor { override def generatePythonCode(): String = s"""$model - |from sklearn.metrics import accuracy_score, f1_score, precision_score, recall_score + |from sklearn.metrics import accuracy_score, f1_score, precision_score, recall_score, mean_absolute_error, r2_score + |import pandas as pd |from pytexera import * |class ProcessTableOperator(UDFTableOperator): | @overrides @@ -32,17 +37,27 @@ abstract class SklearnMLOpDesc extends PythonOperatorDescriptor { .last}().fit(table.drop("$target", axis=1), table["$target"]) | else: | predictions = self.model.predict(table.drop("$target", axis=1)) - | auc = accuracy_score(table["$target"], predictions) - | f1 = f1_score(table["$target"], predictions, average='micro') - | precision = precision_score(table["$target"], predictions, average='micro') - | recall = recall_score(table["$target"], predictions, average='micro') - | print("Accuracy:", auc, ", F1:", f1, ", Precision:", precision, ", Recall:", recall) - | yield {"name" : "$name", + | if ${if (classification) "True" else "False"}: + | auc = accuracy_score(table["$target"], predictions) + | f1 = f1_score(table["$target"], predictions, average='micro') + | precision = precision_score(table["$target"], predictions, average='micro') + | recall = recall_score(table["$target"], predictions, average='micro') + | print("Accuracy:", auc, ", F1:", f1, ", Precision:", precision, ", Recall:", recall) + | yield {"name" : "$name", | "accuracy" : auc, | "f1" : f1, | "precision" : precision, | "recall" : recall, - | "model" : self.model}""".stripMargin + | "model" : self.model} + | else: + | mae = mean_absolute_error(table["$target"], predictions) + | r2 = r2_score(table["$target"], predictions) + | print("MAE:", mae, ", R2:", r2) + | yield {"name" : "$name", + | "mae": mae, + | "r2": r2, + | "model" : self.model} + | """.stripMargin override def operatorInfo: OperatorInfo = OperatorInfo( @@ -56,14 +71,25 @@ abstract class SklearnMLOpDesc extends PythonOperatorDescriptor { outputPorts = List(OutputPort()) ) - override def getOutputSchema(schemas: Array[Schema]): Schema = - Schema + override def getOutputSchema(schemas: Array[Schema]): Schema = { + val builder = Schema .builder() .add("name", AttributeType.STRING) - .add("accuracy", AttributeType.DOUBLE) - .add("f1", AttributeType.DOUBLE) - .add("precision", AttributeType.DOUBLE) - .add("recall", AttributeType.DOUBLE) - .add("model", AttributeType.BINARY) - .build() + if (classification) { + builder + .add("accuracy", AttributeType.DOUBLE) + .add("f1", AttributeType.DOUBLE) + .add("precision", AttributeType.DOUBLE) + .add("recall", AttributeType.DOUBLE) + .add("model", AttributeType.BINARY) + + } else { + builder + .add("mae", AttributeType.DOUBLE) + .add("r2", AttributeType.DOUBLE) + .add("model", AttributeType.BINARY) + } + builder.build() + + } } diff --git 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zACJgqHIk{_%OI~@m*O3dAW+suGYv`BAVmu#ZRO~@2vn<^4LtU&<8l_0{}dp-xQm?$ z@TdPUS6t5N_h+E)z$py4Yh#St`KlHI%C7h)RvH3zx91Yn?f;XmOGw*zm4(P>c2j_^ zXOipSH5ooZe`Fd&{wX(k=(;rhQ}{wL^CHVGxVUOx`*xNdpK$Bmaa^~BrzMxq-U70M zD&r3R6Ndrd#Oz74f~imill_iR_Kj0O80+8@xO$Z1@1;_y!Bouz2XQHs(epexNNb5K z4*L;PEQdoRTrh?)!i?-Q>z!CzcGAtQ2beVh6*UYA@Qr zpx>vkU~{{J)C8b!HEc&fzru4R;_ zzwT8OPWAoEy^G)m0PZ&9Hf#;aHZ{;$R8-O!R$ANbb*k?h^f_z}dv zJ_ayi1S00_!+dNdMCY)Kzifj;xN0`Ofa}4ip?4MxaXCsTUuKAKov^<|;X4U|>iqK1 z9tLf&RdH?T5>7n#G{WVWplxB6*Hnm#VTw%lkhDqzn90)h37`MRzm5F&e=51XK!?%A WKS?MAN9RG{3w6p&zv#r}JO2j_EPxdN literal 0 HcmV?d00001 From 5f2fe88582c11a3a1a8fde6fe0444fd1b0388fd2 Mon Sep 17 00:00:00 2001 From: Shengquan Ni <13672781+shengquan-ni@users.noreply.github.com> Date: Mon, 6 May 2024 21:51:43 -0700 Subject: [PATCH 21/44] Add color column to scatter plot (#2648) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit This PR adds an optional parameter to the scatter plot to color the dots. 截屏2024-05-06 上午10 17 29 截屏2024-05-06 上午10 16 34 --- .../scatterplot/ScatterplotOpDesc.scala | 18 +++++++++++++++--- 1 file changed, 15 insertions(+), 3 deletions(-) diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/scatterplot/ScatterplotOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/scatterplot/ScatterplotOpDesc.scala index 5766a33caa6..a87dced657f 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/scatterplot/ScatterplotOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/scatterplot/ScatterplotOpDesc.scala @@ -39,6 +39,14 @@ class ScatterplotOpDesc extends VisualizationOperator with PythonOperatorDescrip @AutofillAttributeName private val yColumn: String = "" + @JsonProperty(required = false) + @JsonSchemaTitle("Color-Column") + @JsonPropertyDescription( + "Dots will be assigned different colors based on their values of this column" + ) + @AutofillAttributeName + private val colorColumn: String = "" + override def chartType: String = VisualizationConstants.HTML_VIZ override def getOutputSchema(schemas: Array[Schema]): Schema = { @@ -56,17 +64,21 @@ class ScatterplotOpDesc extends VisualizationOperator with PythonOperatorDescrip def manipulateTable(): String = { assert(xColumn.nonEmpty && yColumn.nonEmpty) + val colorColExpr = if (colorColumn.nonEmpty) { s"'$colorColumn'" } + else { "" } s""" | # drops rows with missing values pertaining to relevant columns - | table.dropna(subset=['$xColumn', '$yColumn'], inplace = True) + | table.dropna(subset=['$xColumn', '$yColumn', $colorColExpr], inplace = True) | |""".stripMargin } def createPlotlyFigure(): String = { assert(xColumn.nonEmpty && yColumn.nonEmpty) + val colorColExpr = if (colorColumn.nonEmpty) { s"color='$colorColumn'" } + else { "" } s""" - | fig = go.Figure(px.scatter(table, x='$xColumn', y='$yColumn')) + | fig = go.Figure(px.scatter(table, x='$xColumn', y='$yColumn', $colorColExpr)) |""".stripMargin } @@ -84,7 +96,7 @@ class ScatterplotOpDesc extends VisualizationOperator with PythonOperatorDescrip |class ProcessTableOperator(UDFTableOperator): | | def render_error(self, error_msg): - | return '''

TreeMap is not available.

+ | return '''

Scatter Plot is not available.

|

Reasons are: {}

| '''.format(error_msg) | From 4a1bb0f23c5a92415b3de579c8c8b2b5f1b8b648 Mon Sep 17 00:00:00 2001 From: YS0meone <61521613+YS0meone@users.noreply.github.com> Date: Tue, 7 May 2024 18:25:36 -0700 Subject: [PATCH 22/44] Add Dataset-related statistics to Quota Dashboard (#2615) This pr introduces two new components to the Quota Dashboard shown as follows. ![quota-dashboard-enhancement](https://github.com/Texera/texera/assets/61521613/05624faa-f319-4c85-8724-dd3ba8efd392) The users can now check the total number of uploaded datasets and the total size of them, giving us more insight into the dataset statistics. Fixes #2606 --------- Co-authored-by: Jiadong Bai <43344272+bobbai00@users.noreply.github.com> --- .../utils/DatasetStatisticsUtils.scala | 60 +++++++++++++++++++ .../user/quota/UserQuotaResource.scala | 18 ++++++ .../admin/service/admin-user.service.ts | 12 ++++ .../user-quota/user-quota.component.html | 9 ++- .../user-quota/user-quota.component.spec.ts | 2 + .../user-quota/user-quota.component.ts | 14 +++++ .../service/user-quota/user-quota.service.ts | 10 ++++ 7 files changed, 124 insertions(+), 1 deletion(-) create mode 100644 core/amber/src/main/scala/edu/uci/ics/texera/web/resource/dashboard/user/dataset/utils/DatasetStatisticsUtils.scala diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/web/resource/dashboard/user/dataset/utils/DatasetStatisticsUtils.scala b/core/amber/src/main/scala/edu/uci/ics/texera/web/resource/dashboard/user/dataset/utils/DatasetStatisticsUtils.scala new file mode 100644 index 00000000000..a85d8c747b9 --- /dev/null +++ b/core/amber/src/main/scala/edu/uci/ics/texera/web/resource/dashboard/user/dataset/utils/DatasetStatisticsUtils.scala @@ -0,0 +1,60 @@ +package edu.uci.ics.texera.web.resource.dashboard.user.dataset.utils + +import edu.uci.ics.texera.web.SqlServer +import edu.uci.ics.texera.web.model.jooq.generated.tables.Dataset.DATASET +import edu.uci.ics.texera.web.resource.dashboard.user.dataset.DatasetResource.{DatasetIDs} +import edu.uci.ics.texera.web.resource.dashboard.user.dataset.utils.PathUtils.DATASETS_ROOT +import org.jooq.types.UInteger +import scala.jdk.CollectionConverters._ + +import java.nio.file.{Files, Path} +import java.nio.file.attribute.BasicFileAttributes + +object DatasetStatisticsUtils { + final private lazy val context = SqlServer.createDSLContext() + // this function retrieves the total counts of dataset that belongs to the user + def getUserCreatedDatasetCount(uid: UInteger): Int = { + val count = context + .selectCount() + .from(DATASET) + .where(DATASET.OWNER_UID.eq(uid)) + .fetchOne(0, classOf[Int]) + + count + } + + // this function would return a list of dataset ids that belongs to the user + private def getUserCreatedDatasetList(uid: UInteger): DatasetIDs = { + val datasetIDs = context + .select( + DATASET.DID + ) + .from(DATASET) + .where(DATASET.OWNER_UID.eq(uid)) + .fetch() + + val idsList: List[UInteger] = datasetIDs.asScala.map(_.getValue(DATASET.DID)).toList + + DatasetIDs(idsList) + } + private def getFolderSize(folderPath: Path): Long = { + val walk = Files.walk(folderPath) + try { + walk + .filter(Files.isRegularFile(_)) + .mapToLong(p => Files.readAttributes(p, classOf[BasicFileAttributes]).size()) + .sum() + } finally { + walk.close() + } + } + + def getUserDatasetSize(uid: UInteger): Long = { + val datasetIDs = getUserCreatedDatasetList(uid) + + datasetIDs.dids.map { did => + val datasetPath = DATASETS_ROOT.resolve(did.toString) + getFolderSize(datasetPath) + }.sum + } +} diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/web/resource/dashboard/user/quota/UserQuotaResource.scala b/core/amber/src/main/scala/edu/uci/ics/texera/web/resource/dashboard/user/quota/UserQuotaResource.scala index 6775e0e1693..6463c683c61 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/web/resource/dashboard/user/quota/UserQuotaResource.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/web/resource/dashboard/user/quota/UserQuotaResource.scala @@ -19,6 +19,10 @@ import java.util import javax.ws.rs._ import javax.ws.rs.core.MediaType import edu.uci.ics.texera.web.model.jooq.generated.Tables._ +import edu.uci.ics.texera.web.resource.dashboard.user.dataset.utils.DatasetStatisticsUtils.{ + getUserCreatedDatasetCount, + getUserDatasetSize +} import edu.uci.ics.texera.web.storage.MongoDatabaseManager import io.dropwizard.auth.Auth @@ -227,6 +231,20 @@ class UserQuotaResource { getUserCreatedFile(current_user.getUid) } + @GET + @Path("/dataset_size") + @Produces(Array(MediaType.APPLICATION_JSON)) + def getDatasetSize(@Auth current_user: SessionUser): Long = { + getUserDatasetSize(current_user.getUid) + } + + @GET + @Path("/number_of_datasets") + @Produces(Array(MediaType.APPLICATION_JSON)) + def getCreatedDatasetCount(@Auth current_user: SessionUser): Int = { + getUserCreatedDatasetCount(current_user.getUid) + } + @GET @Path("/created_workflows") @Produces(Array(MediaType.APPLICATION_JSON)) diff --git a/core/gui/src/app/dashboard/admin/service/admin-user.service.ts b/core/gui/src/app/dashboard/admin/service/admin-user.service.ts index 08ee9d58fb5..a0fea11de37 100644 --- a/core/gui/src/app/dashboard/admin/service/admin-user.service.ts +++ b/core/gui/src/app/dashboard/admin/service/admin-user.service.ts @@ -9,6 +9,8 @@ export const USER_LIST_URL = `${USER_BASE_URL}/list`; export const USER_UPDATE_URL = `${USER_BASE_URL}/update`; export const USER_ADD_URL = `${USER_BASE_URL}/add`; export const USER_CREATED_FILES = `${USER_BASE_URL}/uploaded_files`; +export const USER_UPLOADED_DATASE_SIZE = `${USER_BASE_URL}/dataset_size`; +export const USER_UPLOADED_DATASET_COUNT = `${USER_BASE_URL}/uploaded_dataset`; export const USER_CREATED_WORKFLOWS = `${USER_BASE_URL}/created_workflows`; export const USER_ACCESS_WORKFLOWS = `${USER_BASE_URL}/access_workflows`; export const USER_ACCESS_FILES = `${USER_BASE_URL}/access_files`; @@ -43,6 +45,16 @@ export class AdminUserService { return this.http.get>(`${USER_CREATED_FILES}`, { params: params }); } + public getTotalUploadedDatasetSize(uid: number): Observable { + let params = new HttpParams().set("user_id", uid.toString()); + return this.http.get(`${USER_UPLOADED_DATASE_SIZE}`, { params: params }); + } + + public getTotalUploadedDatasetCount(uid: number): Observable { + let params = new HttpParams().set("user_id", uid.toString()); + return this.http.get(`${USER_UPLOADED_DATASET_COUNT}`, { params: params }); + } + public getCreatedWorkflows(uid: number): Observable> { let params = new HttpParams().set("user_id", uid.toString()); return this.http.get>(`${USER_CREATED_WORKFLOWS}`, { params: params }); diff --git a/core/gui/src/app/dashboard/user/component/user-quota/user-quota.component.html b/core/gui/src/app/dashboard/user/component/user-quota/user-quota.component.html index 37ce702f4d4..7881093d9c6 100644 --- a/core/gui/src/app/dashboard/user/component/user-quota/user-quota.component.html +++ b/core/gui/src/app/dashboard/user/component/user-quota/user-quota.component.html @@ -41,13 +41,20 @@ margin-top: 10px; } -

Files Uploaded

{{ this.createdFiles.length }}

+
+

Datasets Uploaded

+

{{ this.totalUploadedDatasetCount }}

+
+
+

Total Size of Datasets

+

{{ convertFileSize(this.totalUploadedDatasetSize) }}

+

Workflows Created

{{ this.createdWorkflows.length }}

diff --git a/core/gui/src/app/dashboard/user/component/user-quota/user-quota.component.spec.ts b/core/gui/src/app/dashboard/user/component/user-quota/user-quota.component.spec.ts index 6603be9165e..ce356561668 100644 --- a/core/gui/src/app/dashboard/user/component/user-quota/user-quota.component.spec.ts +++ b/core/gui/src/app/dashboard/user/component/user-quota/user-quota.component.spec.ts @@ -10,6 +10,8 @@ describe("UserQuotaComponent", () => { beforeEach(() => { const userQuotaServiceSpy = jasmine.createSpyObj("UserQuotaService", [ "getUploadedFiles", + "getTotalUploadedDatasetSize", + "getTotalUploadedDatasetCount", "getCreatedWorkflows", "getAccessFiles", "getAccessWorkflows", diff --git a/core/gui/src/app/dashboard/user/component/user-quota/user-quota.component.ts b/core/gui/src/app/dashboard/user/component/user-quota/user-quota.component.ts index 9f95c922fee..a5fac33bbc0 100644 --- a/core/gui/src/app/dashboard/user/component/user-quota/user-quota.component.ts +++ b/core/gui/src/app/dashboard/user/component/user-quota/user-quota.component.ts @@ -21,6 +21,8 @@ export class UserQuotaComponent { totalFileSize: number = 0; totalMongoSize: number = 0; + totalUploadedDatasetSize: number = 0; + totalUploadedDatasetCount: number = 0; createdFiles: ReadonlyArray = []; createdWorkflows: ReadonlyArray = []; accessFiles: ReadonlyArray = []; @@ -67,6 +69,18 @@ export class UserQuotaComponent { this.topFiveFiles = copiedFiles.slice(0, 5); }); + this.UserService.getTotalUploadedDatasetSize(this.userId) + .pipe(untilDestroyed(this)) + .subscribe(datasetSize => { + this.totalUploadedDatasetSize = datasetSize; + }); + + this.UserService.getTotalUploadedDatasetCount(this.userId) + .pipe(untilDestroyed(this)) + .subscribe(datasetCount => { + this.totalUploadedDatasetCount = datasetCount; + }); + this.UserService.getCreatedWorkflows(this.userId) .pipe(untilDestroyed(this)) .subscribe(workflowList => { diff --git a/core/gui/src/app/dashboard/user/service/user-quota/user-quota.service.ts b/core/gui/src/app/dashboard/user/service/user-quota/user-quota.service.ts index 0ac03c7b74d..ecd7f027cbf 100644 --- a/core/gui/src/app/dashboard/user/service/user-quota/user-quota.service.ts +++ b/core/gui/src/app/dashboard/user/service/user-quota/user-quota.service.ts @@ -6,6 +6,8 @@ import { File, Workflow, MongoExecution } from "src/app/common/type/user"; export const USER_BASE_URL = `${AppSettings.getApiEndpoint()}/quota`; export const USER_CREATED_FILES = `${USER_BASE_URL}/uploaded_files`; +export const USER_UPLOADED_DATASET_COUNT = `${USER_BASE_URL}/number_of_datasets`; +export const USER_UPLOADED_DATASE_SIZE = `${USER_BASE_URL}/dataset_size`; export const USER_CREATED_WORKFLOWS = `${USER_BASE_URL}/created_workflows`; export const USER_ACCESS_WORKFLOWS = `${USER_BASE_URL}/access_workflows`; export const USER_ACCESS_FILES = `${USER_BASE_URL}/access_files`; @@ -22,6 +24,14 @@ export class UserQuotaService { return this.http.get>(`${USER_CREATED_FILES}`); } + public getTotalUploadedDatasetSize(uid: number): Observable { + return this.http.get(`${USER_UPLOADED_DATASE_SIZE}`); + } + + public getTotalUploadedDatasetCount(uid: number): Observable { + return this.http.get(`${USER_UPLOADED_DATASET_COUNT}`); + } + public getCreatedWorkflows(uid: number): Observable> { return this.http.get>(`${USER_CREATED_WORKFLOWS}`); } From 979d1bd15b5352d8210ee5174662a450d2575bed Mon Sep 17 00:00:00 2001 From: Harry Xiong Date: Tue, 7 May 2024 20:25:27 -0700 Subject: [PATCH 23/44] Left menu support second level (#2607) The GUI Left Menu supports the second level. ![left-menu](https://github.com/Texera/texera/assets/62498853/5da1ea48-39ce-4c07-acd5-ec24c7f9e7af) How to config: In the config file, we only need to add a new List of GroupInfo to indicate the second level. image --------- Co-authored-by: Xinyuan Lin --- .../metadata/OperatorGroupConstants.scala | 29 +++--- .../metadata/OperatorMetadataGenerator.scala | 2 +- ...gingFaceIrisLogisticRegressionOpDesc.scala | 2 +- .../HuggingFaceSentimentAnalysisOpDesc.scala | 2 +- .../HuggingFaceSpamSMSDetectionOpDesc.scala | 2 +- .../HuggingFaceTextSummarizationOpDesc.scala | 2 +- .../operators/sklearn/SklearnMLOpDesc.scala | 8 +- .../sklearn/SklearnPredictionOpDesc.scala | 2 +- .../left-panel/left-panel.component.ts | 2 +- .../operator-label.component.scss | 3 +- .../operator-menu.component.html | 49 +++++----- .../operator-menu.component.scss | 19 ++-- .../operator-menu.component.spec.ts | 76 +-------------- .../operator-menu/operator-menu.component.ts | 94 ++++--------------- .../mock-operator-metadata.data.ts | 6 +- .../types/operator-schema.interface.ts | 3 +- 16 files changed, 90 insertions(+), 211 deletions(-) diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/metadata/OperatorGroupConstants.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/metadata/OperatorGroupConstants.scala index 04929b0f4f5..e7fec2b4edc 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/metadata/OperatorGroupConstants.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/metadata/OperatorGroupConstants.scala @@ -14,25 +14,26 @@ object OperatorGroupConstants { final val API_GROUP = "External API" final val UDF_GROUP = "User-defined Functions" final val VISUALIZATION_GROUP = "Visualization" + final val HUGGINGFACE_GROUP = "Hugging Face" + final val SKLEARN_GROUP = "Sklearn" /** * The order of the groups to show up in the frontend operator panel. * The order numbers are relative. */ final val OperatorGroupOrderList: List[GroupInfo] = List( - GroupInfo(INPUT_GROUP, 0), - GroupInfo(DATABASE_GROUP, 1), - GroupInfo(SEARCH_GROUP, 2), - GroupInfo(CLEANING_GROUP, 3), - GroupInfo(MACHINE_LEARNING_GROUP, 4), - GroupInfo(JOIN_GROUP, 5), - GroupInfo(SET_GROUP, 6), - GroupInfo(AGGREGATE_GROUP, 7), - GroupInfo(SORT_GROUP, 8), - GroupInfo(UTILITY_GROUP, 9), - GroupInfo(API_GROUP, 10), - GroupInfo(UDF_GROUP, 11), - GroupInfo(VISUALIZATION_GROUP, 12) + GroupInfo(INPUT_GROUP), + GroupInfo(DATABASE_GROUP), + GroupInfo(SEARCH_GROUP), + GroupInfo(CLEANING_GROUP), + GroupInfo(MACHINE_LEARNING_GROUP, List(GroupInfo(SKLEARN_GROUP), GroupInfo(HUGGINGFACE_GROUP))), + GroupInfo(JOIN_GROUP), + GroupInfo(SET_GROUP), + GroupInfo(AGGREGATE_GROUP), + GroupInfo(SORT_GROUP), + GroupInfo(UTILITY_GROUP), + GroupInfo(API_GROUP), + GroupInfo(UDF_GROUP), + GroupInfo(VISUALIZATION_GROUP) ) - } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/metadata/OperatorMetadataGenerator.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/metadata/OperatorMetadataGenerator.scala index 14abf149279..c0368aecab0 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/metadata/OperatorMetadataGenerator.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/metadata/OperatorMetadataGenerator.scala @@ -35,7 +35,7 @@ case class OperatorMetadata( case class GroupInfo( groupName: String, - groupOrder: Int + children: List[GroupInfo] = null ) case class AllOperatorMetadata( diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/huggingFace/HuggingFaceIrisLogisticRegressionOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/huggingFace/HuggingFaceIrisLogisticRegressionOpDesc.scala index dd8245a732b..2990b180237 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/huggingFace/HuggingFaceIrisLogisticRegressionOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/huggingFace/HuggingFaceIrisLogisticRegressionOpDesc.scala @@ -85,7 +85,7 @@ class HuggingFaceIrisLogisticRegressionOpDesc extends PythonOperatorDescriptor { OperatorInfo( "Hugging Face Iris Logistic Regression", "Predict whether an iris is an Iris-setosa using a pre-trained logistic regression model", - OperatorGroupConstants.MACHINE_LEARNING_GROUP, + OperatorGroupConstants.HUGGINGFACE_GROUP, inputPorts = List(InputPort()), outputPorts = List(OutputPort()) ) diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/huggingFace/HuggingFaceSentimentAnalysisOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/huggingFace/HuggingFaceSentimentAnalysisOpDesc.scala index ac9a109df9d..e00b1acbf85 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/huggingFace/HuggingFaceSentimentAnalysisOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/huggingFace/HuggingFaceSentimentAnalysisOpDesc.scala @@ -72,7 +72,7 @@ class HuggingFaceSentimentAnalysisOpDesc extends PythonOperatorDescriptor { OperatorInfo( "Hugging Face Sentiment Analysis", "Analyzing Sentiments with a Twitter-Based Model from Hugging Face", - OperatorGroupConstants.MACHINE_LEARNING_GROUP, + OperatorGroupConstants.HUGGINGFACE_GROUP, inputPorts = List(InputPort()), outputPorts = List(OutputPort()), supportReconfiguration = true diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/huggingFace/HuggingFaceSpamSMSDetectionOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/huggingFace/HuggingFaceSpamSMSDetectionOpDesc.scala index 44f9b961440..0a816eb45c0 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/huggingFace/HuggingFaceSpamSMSDetectionOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/huggingFace/HuggingFaceSpamSMSDetectionOpDesc.scala @@ -50,7 +50,7 @@ class HuggingFaceSpamSMSDetectionOpDesc extends PythonOperatorDescriptor { OperatorInfo( "Hugging Face Spam Detection", "Spam Detection by SMS Spam Detection Model from Hugging Face", - OperatorGroupConstants.MACHINE_LEARNING_GROUP, + OperatorGroupConstants.HUGGINGFACE_GROUP, inputPorts = List(InputPort()), outputPorts = List(OutputPort()) ) diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/huggingFace/HuggingFaceTextSummarizationOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/huggingFace/HuggingFaceTextSummarizationOpDesc.scala index cf697127f9f..c537036a0d3 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/huggingFace/HuggingFaceTextSummarizationOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/huggingFace/HuggingFaceTextSummarizationOpDesc.scala @@ -53,7 +53,7 @@ class HuggingFaceTextSummarizationOpDesc extends PythonOperatorDescriptor { OperatorInfo( "Hugging Face Text Summarization", "Summarize the given text content with a mini2bert pre-trained model from Hugging Face", - OperatorGroupConstants.MACHINE_LEARNING_GROUP, + OperatorGroupConstants.HUGGINGFACE_GROUP, inputPorts = List(InputPort()), outputPorts = List(OutputPort()) ) diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnMLOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnMLOpDesc.scala index e189ab20220..1fd52f1e141 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnMLOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnMLOpDesc.scala @@ -63,7 +63,7 @@ abstract class SklearnMLOpDesc extends PythonOperatorDescriptor { OperatorInfo( name, "Sklearn " + name + " Operator", - OperatorGroupConstants.MACHINE_LEARNING_GROUP, + OperatorGroupConstants.SKLEARN_GROUP, inputPorts = List( InputPort(PortIdentity(), "training"), InputPort(PortIdentity(1), "testing", dependencies = List(PortIdentity())) @@ -81,15 +81,11 @@ abstract class SklearnMLOpDesc extends PythonOperatorDescriptor { .add("f1", AttributeType.DOUBLE) .add("precision", AttributeType.DOUBLE) .add("recall", AttributeType.DOUBLE) - .add("model", AttributeType.BINARY) - } else { builder .add("mae", AttributeType.DOUBLE) .add("r2", AttributeType.DOUBLE) - .add("model", AttributeType.BINARY) } - builder.build() - + builder.add("model", AttributeType.BINARY).build() } } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnPredictionOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnPredictionOpDesc.scala index faa177aa20d..eaed10cc0b2 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnPredictionOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnPredictionOpDesc.scala @@ -32,7 +32,7 @@ class SklearnPredictionOpDesc extends PythonOperatorDescriptor { OperatorInfo( "Sklearn Prediction", "Skleanr Prediction Operator", - OperatorGroupConstants.MACHINE_LEARNING_GROUP, + OperatorGroupConstants.SKLEARN_GROUP, inputPorts = List( InputPort(PortIdentity(), "model"), InputPort(PortIdentity(1), "testing", dependencies = List(PortIdentity())) diff --git a/core/gui/src/app/workspace/component/left-panel/left-panel.component.ts b/core/gui/src/app/workspace/component/left-panel/left-panel.component.ts index 8fdc21cfa12..5bfced5ff1d 100644 --- a/core/gui/src/app/workspace/component/left-panel/left-panel.component.ts +++ b/core/gui/src/app/workspace/component/left-panel/left-panel.component.ts @@ -18,7 +18,7 @@ export class LeftPanelComponent implements OnDestroy, OnInit { protected readonly window = window; currentComponent: Type | null = null; title = "Operators"; - width = 230; + width = 300; height = Math.max(300, window.innerHeight * 0.6); id = -1; currentIndex = 0; diff --git a/core/gui/src/app/workspace/component/left-panel/operator-menu/operator-label/operator-label.component.scss b/core/gui/src/app/workspace/component/left-panel/operator-menu/operator-label/operator-label.component.scss index a68be221a8d..1e1b1b741cb 100644 --- a/core/gui/src/app/workspace/component/left-panel/operator-menu/operator-label/operator-label.component.scss +++ b/core/gui/src/app/workspace/component/left-panel/operator-menu/operator-label/operator-label.component.scss @@ -3,6 +3,7 @@ } .operator-label { + white-space: nowrap; width: 100%; height: 32px; line-height: 32px; @@ -13,7 +14,7 @@ transition: border-color 0.3s, color 0.3s; - overflow: hidden; + overflow-x: hidden; &:hover { border-color: rgba(64, 169, 255, 1); > .text { diff --git a/core/gui/src/app/workspace/component/left-panel/operator-menu/operator-menu.component.html b/core/gui/src/app/workspace/component/left-panel/operator-menu/operator-menu.component.html index 66ee831070a..55d9a0f29bc 100644 --- a/core/gui/src/app/workspace/component/left-panel/operator-menu/operator-menu.component.html +++ b/core/gui/src/app/workspace/component/left-panel/operator-menu/operator-menu.component.html @@ -18,25 +18,30 @@
- - -
    -
  • - -
    • -
- - + +
+ + + + + + +
+ +
+ +
+
+ + + diff --git a/core/gui/src/app/workspace/component/left-panel/operator-menu/operator-menu.component.scss b/core/gui/src/app/workspace/component/left-panel/operator-menu/operator-menu.component.scss index 37425628eb8..8d6107217a9 100644 --- a/core/gui/src/app/workspace/component/left-panel/operator-menu/operator-menu.component.scss +++ b/core/gui/src/app/workspace/component/left-panel/operator-menu/operator-menu.component.scss @@ -11,22 +11,29 @@ } } -.operator-submenu-title { +.operator-group { background-color: #fff; - border-bottom: 1px solid #e0e0e0 !important; } -.operator-submenu { +.operator-group:last-child { + border-bottom: 1px solid #e0e0e0; +} + +.operator-group .operator-group { border: none; } -.texera-operator-label { - padding-left: 30px; +.indent { + padding-left: 10px; +} + +.operator-label { + padding-left: 7px; padding-right: 0; margin: 0 !important; height: 32px; } -#operator-menu { +#spacer { margin-top: 32px; } diff --git a/core/gui/src/app/workspace/component/left-panel/operator-menu/operator-menu.component.spec.ts b/core/gui/src/app/workspace/component/left-panel/operator-menu/operator-menu.component.spec.ts index 713b078703d..e475c03f3fe 100644 --- a/core/gui/src/app/workspace/component/left-panel/operator-menu/operator-menu.component.spec.ts +++ b/core/gui/src/app/workspace/component/left-panel/operator-menu/operator-menu.component.spec.ts @@ -1,20 +1,12 @@ -import { - mockOperatorGroup, - mockOperatorMetaData, - mockOperatorSchemaList, - mockScanSourceSchema, -} from "../../../service/operator-metadata/mock-operator-metadata.data"; +import { mockScanSourceSchema } from "../../../service/operator-metadata/mock-operator-metadata.data"; import { UndoRedoService } from "../../../service/undo-redo/undo-redo.service"; import { DragDropService } from "../../../service/drag-drop/drag-drop.service"; import { ComponentFixture, TestBed, waitForAsync } from "@angular/core/testing"; -import { By } from "@angular/platform-browser"; import { BrowserAnimationsModule } from "@angular/platform-browser/animations"; -import * as c from "./operator-menu.component"; import { OperatorMenuComponent } from "./operator-menu.component"; import { OperatorLabelComponent } from "./operator-label/operator-label.component"; import { OperatorMetadataService } from "../../../service/operator-metadata/operator-metadata.service"; import { StubOperatorMetadataService } from "../../../service/operator-metadata/stub-operator-metadata.service"; -import { GroupInfo, OperatorSchema } from "../../../types/operator-schema.interface"; import { RouterTestingModule } from "@angular/router/testing"; import { WorkflowActionService } from "../../../service/workflow-graph/model/workflow-action.service"; import { JointUIService } from "../../../service/joint-ui/joint-ui.service"; @@ -54,72 +46,6 @@ describe("OperatorPanelComponent", () => { expect(component).toBeTruthy(); }); - it("should sort group names correctly based on order", () => { - const result = c.getGroupNamesSorted(mockOperatorGroup); - - expect(result).toEqual(["Source", "Analysis", "View Results"]); - }); - - it("should sort group names correctly based on order relatively. ex: (100, 1) -> (1, 100)", () => { - const groups: GroupInfo[] = [ - { groupName: "group_1", groupOrder: 1 }, - { groupName: "group_2", groupOrder: 100 }, - ]; - - const result = c.getGroupNamesSorted(groups); - - expect(result).toEqual(["group_1", "group_2"]); - }); - - it("should sort group names correctly from an empty list", () => { - const groups: GroupInfo[] = []; - const result = c.getGroupNamesSorted(groups); - expect(result).toEqual([]); - }); - - it("should generate a map from operator groups to a list operators correctly", () => { - const opMetadata = mockOperatorMetaData; - - const result = c.getOperatorGroupMap(opMetadata); - - const sourceOperators = opMetadata.operators.filter(op => op.additionalMetadata.operatorGroupName === "Source"); - const analysisOperators = opMetadata.operators.filter(op => op.additionalMetadata.operatorGroupName === "Analysis"); - const resultOperators = opMetadata.operators.filter( - op => op.additionalMetadata.operatorGroupName === "View Results" - ); - - const expectedResult = new Map(); - expectedResult.set("Source", sourceOperators); - expectedResult.set("Analysis", analysisOperators); - expectedResult.set("View Results", resultOperators); - - expect(result).toEqual(expectedResult); - }); - - it("should receive operator metadata from service", () => { - // if the length of our schema list is equal to the length of mock data - // we assume the mock data has been received - expect(component.operatorSchemaList.length).toEqual(mockOperatorSchemaList.length); - expect(component.groupNamesOrdered.length).toEqual(mockOperatorGroup.length); - }); - - it("should have all group names shown in the UI side panel", () => { - const groupNamesInUI = fixture.debugElement - .queryAll(By.css(".operator-submenu-title")) - .map(el => el.nativeElement.querySelector(".ant-collapse-header").innerText); - - expect(groupNamesInUI).toEqual(mockOperatorGroup.map(group => group.groupName)); - }); - - it("should create child operator label component for all operators", () => { - const operatorLabels = fixture.debugElement - .queryAll(By.directive(OperatorLabelComponent)) - .map(debugEl => debugEl.componentInstance) - .map(operatorLabel => operatorLabel.operator); - - expect(operatorLabels.length).toEqual(mockOperatorMetaData.operators.length); - }); - it("should search an operator by its user friendly name", () => { component.searchInputValue = "Source: Scan"; diff --git a/core/gui/src/app/workspace/component/left-panel/operator-menu/operator-menu.component.ts b/core/gui/src/app/workspace/component/left-panel/operator-menu/operator-menu.component.ts index 381bf528976..c52a3982fcf 100644 --- a/core/gui/src/app/workspace/component/left-panel/operator-menu/operator-menu.component.ts +++ b/core/gui/src/app/workspace/component/left-panel/operator-menu/operator-menu.component.ts @@ -1,38 +1,22 @@ -import { Component, OnInit } from "@angular/core"; +import { Component } from "@angular/core"; import Fuse from "fuse.js"; import { OperatorMetadataService } from "../../../service/operator-metadata/operator-metadata.service"; -import { GroupInfo, OperatorMetadata, OperatorSchema } from "../../../types/operator-schema.interface"; +import { GroupInfo, OperatorSchema } from "../../../types/operator-schema.interface"; import { DragDropService } from "../../../service/drag-drop/drag-drop.service"; import { WorkflowActionService } from "../../../service/workflow-graph/model/workflow-action.service"; import { WorkflowUtilService } from "../../../service/workflow-graph/util/workflow-util.service"; import { UntilDestroy, untilDestroyed } from "@ngneat/until-destroy"; import { NzAutocompleteOptionComponent } from "ng-zorro-antd/auto-complete"; -/** - * OperatorMenuComponent is a panel that shows the operators. - * - * This component gets all the operator metadata from OperatorMetaDataService, - * and then displays the operators, which are grouped using their group name from the metadata. - * - * Clicking a group name reveals the operators in the group, each operator is a sub-component: OperatorLabelComponent, - * this is implemented using Angular Material's expansion panel component: https://material.angular.io/components/expansion/overview - * - * OperatorMenuComponent also includes a search box, which uses fuse.js to support fuzzy search on operator names. - * - */ @UntilDestroy() @Component({ selector: "texera-operator-menu", templateUrl: "operator-menu.component.html", styleUrls: ["operator-menu.component.scss"], }) -export class OperatorMenuComponent implements OnInit { - // a list of all operator's schema - public operatorSchemaList: ReadonlyArray = []; - // a list of group names, sorted based on the groupOrder from OperatorMetadata - public groupNamesOrdered: ReadonlyArray = []; - // a map of group name to a list of operator schema of this group - public operatorGroupMap = new Map>(); +export class OperatorMenuComponent { + public opList = new Map>(); + public groupNames: ReadonlyArray = []; // input value of the search input box public searchInputValue: string = ""; @@ -65,19 +49,23 @@ export class OperatorMenuComponent implements OnInit { this.workflowActionService .getWorkflowModificationEnabledStream() .pipe(untilDestroyed(this)) - .subscribe(canModify => { - this.canModify = canModify; - }); - } - - ngOnInit() { - // subscribe to the operator metadata changed observable and process it - // the operator metadata will be fetched asynchronously on application init - // after the data is fetched, it will be passed through this observable + .subscribe(canModify => (this.canModify = canModify)); this.operatorMetadataService .getOperatorMetadata() .pipe(untilDestroyed(this)) - .subscribe(value => this.processOperatorMetadata(value)); + .subscribe(operatorMetadata => { + const ops = operatorMetadata.operators.filter( + operatorSchema => operatorSchema.operatorType !== "PythonUDF" && operatorSchema.operatorType !== "Dummy" + ); + this.groupNames = operatorMetadata.groups; + ops.forEach(x => { + const group = x.additionalMetadata.operatorGroupName; + const list = this.opList.get(group) || []; + list.push(x); + this.opList.set(group, list); + }); + this.fuse.setCollection(ops); + }); } /** @@ -115,48 +103,4 @@ export class OperatorMenuComponent implements OnInit { this.autocompleteOptions = []; }, 0); } - - /** - * populate the class variables based on the operator metadata fetched from the backend: - * - sort the group names based on the group order - * - put the operators into the hashmap of group names - * - * @param operatorMetadata metadata of all operators - */ - private processOperatorMetadata(operatorMetadata: OperatorMetadata): void { - operatorMetadata = { - ...operatorMetadata, - operators: operatorMetadata.operators - .filter(operatorSchema => operatorSchema.operatorType != "PythonUDF") - .filter(operatorSchema => operatorSchema.operatorType != "Dummy"), - }; - this.operatorSchemaList = operatorMetadata.operators; - this.groupNamesOrdered = getGroupNamesSorted(operatorMetadata.groups); - this.operatorGroupMap = getOperatorGroupMap(operatorMetadata); - this.fuse.setCollection(this.operatorSchemaList); - } -} - -/** - * generates a list of group names sorted by the order - * slice() will make a copy of the list, because we don't want to sort the original list - */ -export function getGroupNamesSorted(groupInfoList: ReadonlyArray): string[] { - return groupInfoList - .slice() - .sort((a, b) => a.groupOrder - b.groupOrder) - .map(groupInfo => groupInfo.groupName); -} - -/** - * returns a new empty map from the group name to a list of OperatorSchema - */ -export function getOperatorGroupMap(operatorMetadata: OperatorMetadata): Map { - const groups = operatorMetadata.groups.map(groupInfo => groupInfo.groupName); - const operatorGroupMap = new Map(); - groups.forEach(groupName => { - const operators = operatorMetadata.operators.filter(x => x.additionalMetadata.operatorGroupName === groupName); - operatorGroupMap.set(groupName, operators); - }); - return operatorGroupMap; } diff --git a/core/gui/src/app/workspace/service/operator-metadata/mock-operator-metadata.data.ts b/core/gui/src/app/workspace/service/operator-metadata/mock-operator-metadata.data.ts index 235be8353c2..3d5e03e16bb 100644 --- a/core/gui/src/app/workspace/service/operator-metadata/mock-operator-metadata.data.ts +++ b/core/gui/src/app/workspace/service/operator-metadata/mock-operator-metadata.data.ts @@ -282,9 +282,9 @@ export const mockOperatorSchemaList: ReadonlyArray = [ ]; export const mockOperatorGroup: ReadonlyArray = [ - { groupName: "Source", groupOrder: 1 }, - { groupName: "Analysis", groupOrder: 2 }, - { groupName: "View Results", groupOrder: 3 }, + { groupName: "Source" }, + { groupName: "Analysis" }, + { groupName: "View Results" }, ]; export const mockOperatorMetaData: OperatorMetadata = { diff --git a/core/gui/src/app/workspace/types/operator-schema.interface.ts b/core/gui/src/app/workspace/types/operator-schema.interface.ts index f440162dedb..889b7155e0e 100644 --- a/core/gui/src/app/workspace/types/operator-schema.interface.ts +++ b/core/gui/src/app/workspace/types/operator-schema.interface.ts @@ -1,4 +1,3 @@ -import { JSONSchema7 } from "json-schema"; import { CustomJSONSchema7 } from "./custom-json-schema.interface"; /** @@ -46,7 +45,7 @@ export interface OperatorSchema export interface GroupInfo extends Readonly<{ groupName: string; - groupOrder: number; + children?: GroupInfo[] | null; }> {} export interface OperatorMetadata From 4fe31ff288a259ae99786b277ff5e7d8442308b7 Mon Sep 17 00:00:00 2001 From: Jiadong Bai <43344272+bobbai00@users.noreply.github.com> Date: Wed, 8 May 2024 14:14:31 -0700 Subject: [PATCH 24/44] Fix the issue that datasets not retrieved completely (#2650) This PR fixes the issue that some datasets are missing on the dashboard. The issue is caused by the search component, which limit the number of query result to 20 by default. The fix is to not using this component to retrieve, but use jooq query instead. --- .../user/dataset/DatasetResource.scala | 59 +++++++++++++------ 1 file changed, 41 insertions(+), 18 deletions(-) diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/web/resource/dashboard/user/dataset/DatasetResource.scala b/core/amber/src/main/scala/edu/uci/ics/texera/web/resource/dashboard/user/dataset/DatasetResource.scala index 279188f936c..31873b0201c 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/web/resource/dashboard/user/dataset/DatasetResource.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/web/resource/dashboard/user/dataset/DatasetResource.scala @@ -15,9 +15,8 @@ import edu.uci.ics.texera.web.model.jooq.generated.tables.pojos.{ DatasetVersion } import edu.uci.ics.texera.web.model.jooq.generated.tables.Dataset.DATASET +import edu.uci.ics.texera.web.model.jooq.generated.tables.DatasetUserAccess.DATASET_USER_ACCESS import edu.uci.ics.texera.web.model.jooq.generated.tables.DatasetVersion.DATASET_VERSION -import edu.uci.ics.texera.web.resource.dashboard.DashboardResource -import edu.uci.ics.texera.web.resource.dashboard.DashboardResource.SearchQueryParams import edu.uci.ics.texera.web.resource.dashboard.user.dataset.DatasetAccessResource.{ getDatasetUserAccessPrivilege, userHasReadAccess, @@ -71,7 +70,9 @@ import javax.ws.rs.{ QueryParam } import javax.ws.rs.core.{MediaType, Response, StreamingOutput} +import scala.collection.convert.ImplicitConversions.`collection AsScalaIterable` import scala.collection.mutable +import scala.collection.mutable.ListBuffer import scala.jdk.CollectionConverters._ object DatasetResource { @@ -597,25 +598,47 @@ class DatasetResource { def listDatasets( @Auth user: SessionUser ): List[DashboardDataset] = { - val result = DashboardResource.searchAllResources( - user, - SearchQueryParams(resourceType = "dataset") - ) - var accessibleDatasets = result.results.map(_.dataset.get) - val publicDatasets = retrievePublicDatasets(context) - - publicDatasets.forEach { publicDataset => - if (!accessibleDatasets.exists(_.dataset.getDid == publicDataset.getDid)) { - val dashboardDataset = DashboardDataset( - isOwner = false, - dataset = publicDataset, - accessPrivilege = DatasetUserAccessPrivilege.READ + val uid = user.getUid + withTransaction(context)(ctx => { + // we first retrieve all datasets user have the direct access to + var accessibleDatasets = + ListBuffer.from( + ctx + .selectFrom( + DATASET + .leftJoin(DATASET_USER_ACCESS) + .on(DATASET_USER_ACCESS.DID.eq(DATASET.DID)) + .where( + DATASET_USER_ACCESS.UID.eq(uid) + ) + ) + .fetch() + .map(datasetAndAccess => { + val dataset = datasetAndAccess.into(classOf[Dataset]) + val datasetAccess = datasetAndAccess.into(classOf[DatasetUserAccess]) + DashboardDataset( + isOwner = dataset.getOwnerUid == uid, + dataset = dataset, + accessPrivilege = datasetAccess.getPrivilege + ) + }) ) - accessibleDatasets = accessibleDatasets :+ dashboardDataset + + // then we fetch the public datasets and merge it as a part of the result if not exist + val publicDatasets = retrievePublicDatasets(context) + publicDatasets.forEach { publicDataset => + if (!accessibleDatasets.exists(_.dataset.getDid == publicDataset.getDid)) { + val dashboardDataset = DashboardDataset( + isOwner = false, + dataset = publicDataset, + accessPrivilege = DatasetUserAccessPrivilege.READ + ) + accessibleDatasets = accessibleDatasets :+ dashboardDataset + } } - } - accessibleDatasets + accessibleDatasets.toList + }) } @GET From b197caa51e03630898a9854703ddff0cdc0ea7bb Mon Sep 17 00:00:00 2001 From: Xiaozhen Liu Date: Fri, 10 May 2024 13:53:17 -0700 Subject: [PATCH 25/44] Fix Naming of Materialization Write and Read Operators in Region Plan Generator (#2651) This PR fixes #2611. Cost-based RPG sometime does not work properly for the case of multiple operators connected after the same blocking output port. The reason is in cost-based RPG, a blocking output port is always materialized. The materialization should create a pair of cache read/write operators _for each link_ after a blocking output port. However, the current implementation is using operator name as the id of replaced cache read/write operators. This would cause duplicate creation of materialization write/read operators with the same Id, which causes unexpected behavior. Using the link to the materialization operators eliminates the problem. As the name of materialization operators get longer after this change, an update to the `operator_id` field in `workflow_runtime_statistics` table is necessary. --- .../scheduling/RegionPlanGenerator.scala | 19 +++++++++++++------ core/scripts/sql/update/12.sql | 4 ++++ 2 files changed, 17 insertions(+), 6 deletions(-) create mode 100644 core/scripts/sql/update/12.sql diff --git a/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/scheduling/RegionPlanGenerator.scala b/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/scheduling/RegionPlanGenerator.scala index ea57fc52557..34e0c80f32c 100644 --- a/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/scheduling/RegionPlanGenerator.scala +++ b/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/scheduling/RegionPlanGenerator.scala @@ -140,7 +140,7 @@ abstract class RegionPlanGenerator( // create cache writer and link val matWriterPhysicalOp: PhysicalOp = - createMatWriter(fromOp.id.logicalOpId) + createMatWriter(physicalLink) val sourceToWriterLink = PhysicalLink( fromOp.id, @@ -154,7 +154,7 @@ abstract class RegionPlanGenerator( // create cache reader and link val matReaderPhysicalOp: PhysicalOp = - createMatReader(matWriterPhysicalOp.id.logicalOpId) + createMatReader(matWriterPhysicalOp.id.logicalOpId, physicalLink) val readerToDestLink = PhysicalLink( matReaderPhysicalOp.id, @@ -170,14 +170,15 @@ abstract class RegionPlanGenerator( } def createMatReader( - matWriterLogicalOpId: OperatorIdentity + matWriterLogicalOpId: OperatorIdentity, + physicalLink: PhysicalLink ): PhysicalOp = { val matReader = new CacheSourceOpDesc( matWriterLogicalOpId, opResultStorage: OpResultStorage ) matReader.setContext(workflowContext) - matReader.setOperatorId("cacheSource_" + matWriterLogicalOpId.id) + matReader.setOperatorId(s"cacheSource_${getMatIdFromPhysicalLink(physicalLink)}") matReader .getPhysicalOp( @@ -189,11 +190,11 @@ abstract class RegionPlanGenerator( } def createMatWriter( - fromLogicalOpId: OperatorIdentity + physicalLink: PhysicalLink ): PhysicalOp = { val matWriter = new ProgressiveSinkOpDesc() matWriter.setContext(workflowContext) - matWriter.setOperatorId("materialized_" + fromLogicalOpId.id) + matWriter.setOperatorId(s"materialized_${getMatIdFromPhysicalLink(physicalLink)}") // expect exactly one input port and one output port @@ -211,4 +212,10 @@ abstract class RegionPlanGenerator( } + private def getMatIdFromPhysicalLink(physicalLink: PhysicalLink) = + s"${physicalLink.fromOpId.logicalOpId}_${physicalLink.fromOpId.layerName}_" + + s"${physicalLink.fromPortId.id}_" + + s"${physicalLink.toOpId.logicalOpId}_${physicalLink.toOpId.layerName}_" + + s"${physicalLink.toPortId.id}" + } diff --git a/core/scripts/sql/update/12.sql b/core/scripts/sql/update/12.sql new file mode 100644 index 00000000000..24bd29ce7ab --- /dev/null +++ b/core/scripts/sql/update/12.sql @@ -0,0 +1,4 @@ +USE `texera_db`; + +ALTER TABLE texera_db.workflow_runtime_statistics + MODIFY COLUMN operator_id VARCHAR(512); \ No newline at end of file From ed93da45908260000573a8488c767c09782e7401 Mon Sep 17 00:00:00 2001 From: Xinyuan Lin Date: Fri, 10 May 2024 21:19:08 -0700 Subject: [PATCH 26/44] Keep the feature names and report the feature mismatch errors in ML prediction operator (#2649) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit After this PR, it will report errors to the user when the order of features mismatches for ML prediction operator. Screenshot 2024-05-06 at 6 16 03 PM --- .../workflow/operators/sklearn/SklearnPredictionOpDesc.scala | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnPredictionOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnPredictionOpDesc.scala index eaed10cc0b2..6241695335a 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnPredictionOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnPredictionOpDesc.scala @@ -25,7 +25,7 @@ class SklearnPredictionOpDesc extends PythonOperatorDescriptor { | if port == 0: | self.model = tuple_["$model"] | else: - | tuple_["$resultAttribute"] = str(self.model.predict([tuple_])[0]) + | tuple_["$resultAttribute"] = str(self.model.predict(Table.from_tuple_likes([tuple_]))[0]) | yield tuple_""".stripMargin override def operatorInfo: OperatorInfo = From b3d6d03fd78b59713c8909cbf99fb4df9e77133b Mon Sep 17 00:00:00 2001 From: Yicong Huang <17627829+Yicong-Huang@users.noreply.github.com> Date: Fri, 10 May 2024 22:24:44 -0700 Subject: [PATCH 27/44] Make classifiers logs out evaluations per class instead of an average (#2654) The way we used for evaluations including f1_score, precision, and recall are all using the `micro` average method. This way for multi-class usage, the evaluations for each individual class are aggregated, resulting the same value for all evaluations. This PR changes this behavior and lets each class's individual evaluations be logged out on the console. And it also removes those evaluations from the output tuple as it is not useful. ![CleanShot 2024-05-10 at 12 10 38](https://github.com/Texera/texera/assets/17627829/dbe749a4-7797-4f99-9002-068c2dc1332d) ![CleanShot 2024-05-10 at 12 06 29](https://github.com/Texera/texera/assets/17627829/1e445d82-9c0e-412e-ba4b-65d735662662) --- .../SklearnAdaptiveBoostingOpDesc.scala | 4 +- .../sklearn/SklearnBaggingOpDesc.scala | 4 +- .../SklearnBernoulliNaiveBayesOpDesc.scala | 4 +- .../SklearnComplementNaiveBayesOpDesc.scala | 4 +- .../sklearn/SklearnDecisionTreeOpDesc.scala | 4 +- .../SklearnDummyClassifierOpDesc.scala | 4 +- .../sklearn/SklearnExtraTreeOpDesc.scala | 4 +- .../sklearn/SklearnExtraTreesOpDesc.scala | 4 +- .../SklearnGaussianNaiveBayesOpDesc.scala | 4 +- .../SklearnGradientBoostingOpDesc.scala | 4 +- .../operators/sklearn/SklearnKNNOpDesc.scala | 4 +- .../SklearnLinearRegressionOpDesc.scala | 4 +- .../sklearn/SklearnLinearSVMOpDesc.scala | 4 +- .../SklearnLogisticRegressionCVOpDesc.scala | 4 +- .../SklearnLogisticRegressionOpDesc.scala | 4 +- .../operators/sklearn/SklearnMLOpDesc.scala | 77 ++++++++----------- .../SklearnMultiLayerPerceptronOpDesc.scala | 4 +- .../SklearnMultinomialNaiveBayesOpDesc.scala | 4 +- .../SklearnNearestCentroidOpDesc.scala | 4 +- .../SklearnPassiveAggressiveOpDesc.scala | 4 +- .../sklearn/SklearnPerceptronOpDesc.scala | 4 +- .../SklearnProbabilityCalibrationOpDesc.scala | 4 +- .../sklearn/SklearnRandomForestOpDesc.scala | 4 +- .../sklearn/SklearnRidgeCVOpDesc.scala | 4 +- .../sklearn/SklearnRidgeOpDesc.scala | 4 +- .../operators/sklearn/SklearnSDGOpDesc.scala | 4 +- .../operators/sklearn/SklearnSVMOpDesc.scala | 4 +- 27 files changed, 82 insertions(+), 99 deletions(-) diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnAdaptiveBoostingOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnAdaptiveBoostingOpDesc.scala index 70893c7c693..44538d873f7 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnAdaptiveBoostingOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnAdaptiveBoostingOpDesc.scala @@ -1,6 +1,6 @@ package edu.uci.ics.texera.workflow.operators.sklearn class SklearnAdaptiveBoostingOpDesc extends SklearnMLOpDesc { - model = "from sklearn.ensemble import AdaBoostClassifier" - name = "Adaptive Boosting" + override def getImportStatements = "from sklearn.ensemble import AdaBoostClassifier" + override def getUserFriendlyModelName = "Adaptive Boosting" } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnBaggingOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnBaggingOpDesc.scala index 98cbee10950..26a11b36926 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnBaggingOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnBaggingOpDesc.scala @@ -1,6 +1,6 @@ package edu.uci.ics.texera.workflow.operators.sklearn class SklearnBaggingOpDesc extends SklearnMLOpDesc { - model = "from sklearn.ensemble import BaggingClassifier" - name = "Bagging" + override def getImportStatements = "from sklearn.ensemble import BaggingClassifier" + override def getUserFriendlyModelName = "Bagging" } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnBernoulliNaiveBayesOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnBernoulliNaiveBayesOpDesc.scala index 4f8aabeb950..2b7ce683e6f 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnBernoulliNaiveBayesOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnBernoulliNaiveBayesOpDesc.scala @@ -1,6 +1,6 @@ package edu.uci.ics.texera.workflow.operators.sklearn class SklearnBernoulliNaiveBayesOpDesc extends SklearnMLOpDesc { - model = "from sklearn.naive_bayes import BernoulliNB" - name = "Bernoulli Naive Bayes" + override def getImportStatements = "from sklearn.naive_bayes import BernoulliNB" + override def getUserFriendlyModelName = "Bernoulli Naive Bayes" } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnComplementNaiveBayesOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnComplementNaiveBayesOpDesc.scala index cac35f5daf9..0ebeb9023c7 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnComplementNaiveBayesOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnComplementNaiveBayesOpDesc.scala @@ -1,6 +1,6 @@ package edu.uci.ics.texera.workflow.operators.sklearn class SklearnComplementNaiveBayesOpDesc extends SklearnMLOpDesc { - model = "from sklearn.naive_bayes import ComplementNB" - name = "Complement Naive Bayes" + override def getImportStatements = "from sklearn.naive_bayes import ComplementNB" + override def getUserFriendlyModelName = "Complement Naive Bayes" } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnDecisionTreeOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnDecisionTreeOpDesc.scala index 815e4047664..b174b719e44 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnDecisionTreeOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnDecisionTreeOpDesc.scala @@ -1,6 +1,6 @@ package edu.uci.ics.texera.workflow.operators.sklearn class SklearnDecisionTreeOpDesc extends SklearnMLOpDesc { - model = "from sklearn.tree import DecisionTreeClassifier" - name = "Decision Tree" + override def getImportStatements = "from sklearn.tree import DecisionTreeClassifier" + override def getUserFriendlyModelName = "Decision Tree" } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnDummyClassifierOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnDummyClassifierOpDesc.scala index 286540836a1..aa0599c1fc4 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnDummyClassifierOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnDummyClassifierOpDesc.scala @@ -1,6 +1,6 @@ package edu.uci.ics.texera.workflow.operators.sklearn class SklearnDummyClassifierOpDesc extends SklearnMLOpDesc { - model = "from sklearn.dummy import dummy" - name = "Dummy Classifier" + override def getImportStatements = "from sklearn.dummy import dummy" + override def getUserFriendlyModelName = "Dummy Classifier" } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnExtraTreeOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnExtraTreeOpDesc.scala index b7b05a7bcc3..f16a9d282f1 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnExtraTreeOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnExtraTreeOpDesc.scala @@ -1,6 +1,6 @@ package edu.uci.ics.texera.workflow.operators.sklearn class SklearnExtraTreeOpDesc extends SklearnMLOpDesc { - model = "from sklearn.tree import ExtraTreeClassifier" - name = "Extra Tree" + override def getImportStatements = "from sklearn.tree import ExtraTreeClassifier" + override def getUserFriendlyModelName = "Extra Tree" } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnExtraTreesOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnExtraTreesOpDesc.scala index 8dee19029cb..46caea5eb16 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnExtraTreesOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnExtraTreesOpDesc.scala @@ -1,6 +1,6 @@ package edu.uci.ics.texera.workflow.operators.sklearn class SklearnExtraTreesOpDesc extends SklearnMLOpDesc { - model = "from sklearn.ensemble import ExtraTreesClassifier" - name = "Extra Trees" + override def getImportStatements = "from sklearn.ensemble import ExtraTreesClassifier" + override def getUserFriendlyModelName = "Extra Trees" } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnGaussianNaiveBayesOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnGaussianNaiveBayesOpDesc.scala index b8d378e83e7..e89bb5edbc6 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnGaussianNaiveBayesOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnGaussianNaiveBayesOpDesc.scala @@ -1,6 +1,6 @@ package edu.uci.ics.texera.workflow.operators.sklearn class SklearnGaussianNaiveBayesOpDesc extends SklearnMLOpDesc { - model = "from sklearn.naive_bayes import GaussianNB" - name = "Gaussian Naive Bayes" + override def getImportStatements = "from sklearn.naive_bayes import GaussianNB" + override def getUserFriendlyModelName = "Gaussian Naive Bayes" } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnGradientBoostingOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnGradientBoostingOpDesc.scala index f89ba74c0f2..a83f763dd8a 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnGradientBoostingOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnGradientBoostingOpDesc.scala @@ -1,6 +1,6 @@ package edu.uci.ics.texera.workflow.operators.sklearn class SklearnGradientBoostingOpDesc extends SklearnMLOpDesc { - model = "from sklearn.ensemble import GradientBoostingClassifier" - name = "Gradient Boosting" + override def getImportStatements = "from sklearn.ensemble import GradientBoostingClassifier" + override def getUserFriendlyModelName = "Gradient Boosting" } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnKNNOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnKNNOpDesc.scala index 1d60f25dced..92524f495f7 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnKNNOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnKNNOpDesc.scala @@ -1,6 +1,6 @@ package edu.uci.ics.texera.workflow.operators.sklearn class SklearnKNNOpDesc extends SklearnMLOpDesc { - model = "from sklearn.neighbors import KNeighborsClassifier" - name = "K-nearest Neighbors" + override def getImportStatements = "from sklearn.neighbors import KNeighborsClassifier" + override def getUserFriendlyModelName = "K-nearest Neighbors" } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnLinearRegressionOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnLinearRegressionOpDesc.scala index e7f2524f402..5013831f63c 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnLinearRegressionOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnLinearRegressionOpDesc.scala @@ -1,7 +1,7 @@ package edu.uci.ics.texera.workflow.operators.sklearn class SklearnLinearRegressionOpDesc extends SklearnMLOpDesc { - model = "from sklearn.linear_model import LinearRegression" - name = "Linear Regression" + override def getImportStatements = "from sklearn.linear_model import LinearRegression" + override def getUserFriendlyModelName = "Linear Regression" classification = false } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnLinearSVMOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnLinearSVMOpDesc.scala index 1f3a78852a6..548d2d23e53 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnLinearSVMOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnLinearSVMOpDesc.scala @@ -1,6 +1,6 @@ package edu.uci.ics.texera.workflow.operators.sklearn class SklearnLinearSVMOpDesc extends SklearnMLOpDesc { - model = "from sklearn.svm import LinearSVC" - name = "Linear Support Vector Machine" + override def getImportStatements = "from sklearn.svm import LinearSVC" + override def getUserFriendlyModelName = "Linear Support Vector Machine" } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnLogisticRegressionCVOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnLogisticRegressionCVOpDesc.scala index 7fddd2f9ebd..60be12a89cc 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnLogisticRegressionCVOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnLogisticRegressionCVOpDesc.scala @@ -1,6 +1,6 @@ package edu.uci.ics.texera.workflow.operators.sklearn class SklearnLogisticRegressionCVOpDesc extends SklearnMLOpDesc { - model = "from sklearn.linear_model import LogisticRegressionCV" - name = "Logistic Regression Cross Validation" + override def getImportStatements = "from sklearn.linear_model import LogisticRegressionCV" + override def getUserFriendlyModelName = "Logistic Regression Cross Validation" } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnLogisticRegressionOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnLogisticRegressionOpDesc.scala index 8be99e62e50..3b0463850b9 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnLogisticRegressionOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnLogisticRegressionOpDesc.scala @@ -1,6 +1,6 @@ package edu.uci.ics.texera.workflow.operators.sklearn class SklearnLogisticRegressionOpDesc extends SklearnMLOpDesc { - model = "from sklearn.linear_model import LogisticRegression" - name = "Logistic Regression" + override def getImportStatements = "from sklearn.linear_model import LogisticRegression" + override def getUserFriendlyModelName = "Logistic Regression" } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnMLOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnMLOpDesc.scala index 1fd52f1e141..17c52a7ae7a 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnMLOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnMLOpDesc.scala @@ -9,12 +9,6 @@ import edu.uci.ics.texera.workflow.common.tuple.schema.{AttributeType, Schema} abstract class SklearnMLOpDesc extends PythonOperatorDescriptor { - @JsonIgnore - var model = "" - - @JsonIgnore - var name = "" - @JsonIgnore var classification: Boolean = true @@ -23,46 +17,45 @@ abstract class SklearnMLOpDesc extends PythonOperatorDescriptor { @AutofillAttributeName var target: String = _ + def getImportStatements = "" + + def getUserFriendlyModelName = "" + override def generatePythonCode(): String = - s"""$model + s"""$getImportStatements |from sklearn.metrics import accuracy_score, f1_score, precision_score, recall_score, mean_absolute_error, r2_score - |import pandas as pd + |import numpy as np |from pytexera import * |class ProcessTableOperator(UDFTableOperator): | @overrides | def process_table(self, table: Table, port: int) -> Iterator[Optional[TableLike]]: + | Y = table["$target"] + | X = table.drop("$target", axis=1) | if port == 0: - | self.model = ${model - .split(" ") - .last}().fit(table.drop("$target", axis=1), table["$target"]) + | self.model = ${getImportStatements.split(" ").last}().fit(X, Y) | else: - | predictions = self.model.predict(table.drop("$target", axis=1)) - | if ${if (classification) "True" else "False"}: - | auc = accuracy_score(table["$target"], predictions) - | f1 = f1_score(table["$target"], predictions, average='micro') - | precision = precision_score(table["$target"], predictions, average='micro') - | recall = recall_score(table["$target"], predictions, average='micro') - | print("Accuracy:", auc, ", F1:", f1, ", Precision:", precision, ", Recall:", recall) - | yield {"name" : "$name", - | "accuracy" : auc, - | "f1" : f1, - | "precision" : precision, - | "recall" : recall, - | "model" : self.model} + | predictions = self.model.predict(X) + | if ${if (classification) "True" + else "False"}: + | accuracy = accuracy_score(Y, predictions) + | print("Overall Accuracy:", accuracy) + | + | f1s = f1_score(Y, predictions, average=None) + | precisions = precision_score(Y, predictions, average=None) + | recalls = recall_score(Y, predictions, average=None) + | for i, class_name in enumerate(np.unique(Y)): + | print("Class", repr(class_name), " - F1:", f1s[i], ", Precision:", precisions[i], ", Recall:", recalls[i]) + | yield {"model_name" : "$getUserFriendlyModelName", "model" : self.model} | else: - | mae = mean_absolute_error(table["$target"], predictions) - | r2 = r2_score(table["$target"], predictions) + | mae = mean_absolute_error(Y, predictions) + | r2 = r2_score(Y, predictions) | print("MAE:", mae, ", R2:", r2) - | yield {"name" : "$name", - | "mae": mae, - | "r2": r2, - | "model" : self.model} - | """.stripMargin + | yield {"model_name" : "$getUserFriendlyModelName", "model" : self.model}""".stripMargin override def operatorInfo: OperatorInfo = OperatorInfo( - name, - "Sklearn " + name + " Operator", + getUserFriendlyModelName, + "Sklearn " + getUserFriendlyModelName + " Operator", OperatorGroupConstants.SKLEARN_GROUP, inputPorts = List( InputPort(PortIdentity(), "training"), @@ -72,20 +65,10 @@ abstract class SklearnMLOpDesc extends PythonOperatorDescriptor { ) override def getOutputSchema(schemas: Array[Schema]): Schema = { - val builder = Schema + Schema .builder() - .add("name", AttributeType.STRING) - if (classification) { - builder - .add("accuracy", AttributeType.DOUBLE) - .add("f1", AttributeType.DOUBLE) - .add("precision", AttributeType.DOUBLE) - .add("recall", AttributeType.DOUBLE) - } else { - builder - .add("mae", AttributeType.DOUBLE) - .add("r2", AttributeType.DOUBLE) - } - builder.add("model", AttributeType.BINARY).build() + .add("model_name", AttributeType.STRING) + .add("model", AttributeType.BINARY) + .build() } } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnMultiLayerPerceptronOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnMultiLayerPerceptronOpDesc.scala index c368ad9257c..61bcedd8d84 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnMultiLayerPerceptronOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnMultiLayerPerceptronOpDesc.scala @@ -1,6 +1,6 @@ package edu.uci.ics.texera.workflow.operators.sklearn class SklearnMultiLayerPerceptronOpDesc extends SklearnMLOpDesc { - model = "from sklearn.neural_network import MLPClassifier" - name = "Multi-layer Perceptron" + override def getImportStatements = "from sklearn.neural_network import MLPClassifier" + override def getUserFriendlyModelName = "Multi-layer Perceptron" } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnMultinomialNaiveBayesOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnMultinomialNaiveBayesOpDesc.scala index c2f0caccac6..97f2f754b75 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnMultinomialNaiveBayesOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnMultinomialNaiveBayesOpDesc.scala @@ -1,6 +1,6 @@ package edu.uci.ics.texera.workflow.operators.sklearn class SklearnMultinomialNaiveBayesOpDesc extends SklearnMLOpDesc { - model = "from sklearn.naive_bayes import MultinomialNB" - name = "Multinomial Naive Bayes" + override def getImportStatements = "from sklearn.naive_bayes import MultinomialNB" + override def getUserFriendlyModelName = "Multinomial Naive Bayes" } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnNearestCentroidOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnNearestCentroidOpDesc.scala index 88293093a1f..0c8ecd0b394 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnNearestCentroidOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnNearestCentroidOpDesc.scala @@ -1,6 +1,6 @@ package edu.uci.ics.texera.workflow.operators.sklearn class SklearnNearestCentroidOpDesc extends SklearnMLOpDesc { - model = "from sklearn.neighbors import NearestCentroid" - name = "Nearest Centroid" + override def getImportStatements = "from sklearn.neighbors import NearestCentroid" + override def getUserFriendlyModelName = "Nearest Centroid" } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnPassiveAggressiveOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnPassiveAggressiveOpDesc.scala index 978d9ebc4e2..4edaa494133 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnPassiveAggressiveOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnPassiveAggressiveOpDesc.scala @@ -1,6 +1,6 @@ package edu.uci.ics.texera.workflow.operators.sklearn class SklearnPassiveAggressiveOpDesc extends SklearnMLOpDesc { - model = "from sklearn.linear_model import PassiveAggressiveClassifier" - name = "Passive Aggressive" + override def getImportStatements = "from sklearn.linear_model import PassiveAggressiveClassifier" + override def getUserFriendlyModelName = "Passive Aggressive" } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnPerceptronOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnPerceptronOpDesc.scala index 2f5e120f811..7e1d7f28b36 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnPerceptronOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnPerceptronOpDesc.scala @@ -1,6 +1,6 @@ package edu.uci.ics.texera.workflow.operators.sklearn class SklearnPerceptronOpDesc extends SklearnMLOpDesc { - model = "from sklearn.linear_model import Perceptron" - name = "Linear Perceptron" + override def getImportStatements = "from sklearn.linear_model import Perceptron" + override def getUserFriendlyModelName = "Linear Perceptron" } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnProbabilityCalibrationOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnProbabilityCalibrationOpDesc.scala index 19d3f22a535..cb24e42a686 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnProbabilityCalibrationOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnProbabilityCalibrationOpDesc.scala @@ -1,6 +1,6 @@ package edu.uci.ics.texera.workflow.operators.sklearn class SklearnProbabilityCalibrationOpDesc extends SklearnMLOpDesc { - model = "from sklearn.calibration import CalibratedClassifierCV" - name = "Probability Calibration" + override def getImportStatements = "from sklearn.calibration import CalibratedClassifierCV" + override def getUserFriendlyModelName = "Probability Calibration" } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnRandomForestOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnRandomForestOpDesc.scala index 159ef40a26e..1b862df16c3 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnRandomForestOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnRandomForestOpDesc.scala @@ -1,6 +1,6 @@ package edu.uci.ics.texera.workflow.operators.sklearn class SklearnRandomForestOpDesc extends SklearnMLOpDesc { - model = "from sklearn.ensemble import RandomForestClassifier" - name = "Random Forest" + override def getImportStatements = "from sklearn.ensemble import RandomForestClassifier" + override def getUserFriendlyModelName = "Random Forest" } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnRidgeCVOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnRidgeCVOpDesc.scala index f12e9723016..6a8938aba54 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnRidgeCVOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnRidgeCVOpDesc.scala @@ -1,6 +1,6 @@ package edu.uci.ics.texera.workflow.operators.sklearn class SklearnRidgeCVOpDesc extends SklearnMLOpDesc { - model = "from sklearn.linear_model import RidgeClassifierCV" - name = "Ridge Regression Cross Validation" + override def getImportStatements = "from sklearn.linear_model import RidgeClassifierCV" + override def getUserFriendlyModelName = "Ridge Regression Cross Validation" } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnRidgeOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnRidgeOpDesc.scala index 1dce1033eb2..d18c23b2c56 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnRidgeOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnRidgeOpDesc.scala @@ -1,6 +1,6 @@ package edu.uci.ics.texera.workflow.operators.sklearn class SklearnRidgeOpDesc extends SklearnMLOpDesc { - model = "from sklearn.linear_model import RidgeClassifier" - name = "Ridge Regression" + override def getImportStatements = "from sklearn.linear_model import RidgeClassifier" + override def getUserFriendlyModelName = "Ridge Regression" } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnSDGOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnSDGOpDesc.scala index 2c366976459..e22ddf49faf 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnSDGOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnSDGOpDesc.scala @@ -1,6 +1,6 @@ package edu.uci.ics.texera.workflow.operators.sklearn class SklearnSDGOpDesc extends SklearnMLOpDesc { - model = "from sklearn.linear_model import SGDClassifier" - name = "Stochastic Gradient Descent" + override def getImportStatements = "from sklearn.linear_model import SGDClassifier" + override def getUserFriendlyModelName = "Stochastic Gradient Descent" } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnSVMOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnSVMOpDesc.scala index a1f3507f10e..d64131d0c84 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnSVMOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnSVMOpDesc.scala @@ -1,6 +1,6 @@ package edu.uci.ics.texera.workflow.operators.sklearn class SklearnSVMOpDesc extends SklearnMLOpDesc { - model = "from sklearn.svm import SVC" - name = "Support Vector Machine" + override def getImportStatements = "from sklearn.svm import SVC" + override def getUserFriendlyModelName = "Support Vector Machine" } From 6fc2f9b6ade1b805dcaed9815d7743f81e22ecd4 Mon Sep 17 00:00:00 2001 From: Shengquan Ni <13672781+shengquan-ni@users.noreply.github.com> Date: Sat, 11 May 2024 22:05:33 -0700 Subject: [PATCH 28/44] Add JsonIgnore to import and user friendly names to sklearn operators (#2657) as title. --- .../ics/texera/workflow/operators/sklearn/SklearnMLOpDesc.scala | 2 ++ 1 file changed, 2 insertions(+) diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnMLOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnMLOpDesc.scala index 17c52a7ae7a..7efda54241e 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnMLOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sklearn/SklearnMLOpDesc.scala @@ -17,8 +17,10 @@ abstract class SklearnMLOpDesc extends PythonOperatorDescriptor { @AutofillAttributeName var target: String = _ + @JsonIgnore def getImportStatements = "" + @JsonIgnore def getUserFriendlyModelName = "" override def generatePythonCode(): String = From c19fe9f5c3a23eca6aa7ab334c5a73e38c28cbe6 Mon Sep 17 00:00:00 2001 From: Yicong Huang <17627829+Yicong-Huang@users.noreply.github.com> Date: Sat, 11 May 2024 23:08:48 -0700 Subject: [PATCH 29/44] Include the dkNET Webinar video in README (#2655) As title. --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 89043f61fda..2abd5d04daa 100644 --- a/README.md +++ b/README.md @@ -92,7 +92,7 @@ The following is a workflow formulated using the Texera GUI in a Web browser, wh * (4/2021) Why Do People Oppose Mask Wearing? A Comprehensive Analysis of US Tweets During the COVID-19 Pandemic, Lu He, Changyang He, Tera Leigh Reynolds, Qiushi Bai, Yicong Huang, Chen Li, Kai Zheng, and Yunan Chen, in JAMIA 2021 [PDF](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7989302/pdf/ocab047.pdf). ## Videos - +* [dkNET Webinar "Texera: A Scalable Cloud Computing Platform for Sharing Data & Workflow-based Analysis" 04/26/2024](https://www.youtube.com/watch?v=B81iMFS5fPc) * [Texera demo in VLDB 2020](https://www.youtube.com/watch?v=SP-XiDADbw0) * [Amber engine presentation in VLDB 2020](https://www.youtube.com/watch?v=T5ShFRfHmgI) * See [Texera in action](https://www.youtube.com/watch?v=NXfynBUwdVg). From 2be4dcf35c369b67d43b157d0e3086b0f8f81369 Mon Sep 17 00:00:00 2001 From: Yicong Huang <17627829+Yicong-Huang@users.noreply.github.com> Date: Sun, 12 May 2024 05:56:39 -0700 Subject: [PATCH 30/44] Rearrange operators into sub-menus (#2658) --- .../metadata/OperatorGroupConstants.scala | 17 +++++++++-------- .../operators/udf/java/JavaUDFOpDesc.scala | 2 +- .../DualInputPortsPythonUDFOpDescV2.scala | 2 +- .../udf/python/PythonLambdaFunctionOpDesc.scala | 2 +- .../udf/python/PythonTableReducerOpDesc.scala | 2 +- .../udf/python/PythonUDFOpDescV2.scala | 2 +- .../python/source/PythonUDFSourceOpDescV2.java | 2 +- 7 files changed, 15 insertions(+), 14 deletions(-) diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/metadata/OperatorGroupConstants.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/metadata/OperatorGroupConstants.scala index e7fec2b4edc..49f3ce3aabe 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/metadata/OperatorGroupConstants.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/metadata/OperatorGroupConstants.scala @@ -5,17 +5,19 @@ object OperatorGroupConstants { final val DATABASE_GROUP = "Database Connector" final val SEARCH_GROUP = "Search" final val CLEANING_GROUP = "Data Cleaning" - final val MACHINE_LEARNING_GROUP = "Machine Learning" final val JOIN_GROUP = "Join" final val SET_GROUP = "Set" final val AGGREGATE_GROUP = "Aggregate" final val SORT_GROUP = "Sort" final val UTILITY_GROUP = "Utilities" final val API_GROUP = "External API" - final val UDF_GROUP = "User-defined Functions" final val VISUALIZATION_GROUP = "Visualization" + final val MACHINE_LEARNING_GROUP = "Machine Learning" final val HUGGINGFACE_GROUP = "Hugging Face" final val SKLEARN_GROUP = "Sklearn" + final val UDF_GROUP = "User-defined Functions" + final val PYTHON_GROUP = "Python" + final val JAVA_GROUP = "Java" /** * The order of the groups to show up in the frontend operator panel. @@ -25,15 +27,14 @@ object OperatorGroupConstants { GroupInfo(INPUT_GROUP), GroupInfo(DATABASE_GROUP), GroupInfo(SEARCH_GROUP), - GroupInfo(CLEANING_GROUP), + GroupInfo( + CLEANING_GROUP, + List(GroupInfo(JOIN_GROUP), GroupInfo(AGGREGATE_GROUP), GroupInfo(SORT_GROUP)) + ), GroupInfo(MACHINE_LEARNING_GROUP, List(GroupInfo(SKLEARN_GROUP), GroupInfo(HUGGINGFACE_GROUP))), - GroupInfo(JOIN_GROUP), - GroupInfo(SET_GROUP), - GroupInfo(AGGREGATE_GROUP), - GroupInfo(SORT_GROUP), GroupInfo(UTILITY_GROUP), GroupInfo(API_GROUP), - GroupInfo(UDF_GROUP), + GroupInfo(UDF_GROUP, List(GroupInfo(PYTHON_GROUP), GroupInfo(JAVA_GROUP))), GroupInfo(VISUALIZATION_GROUP) ) } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/java/JavaUDFOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/java/JavaUDFOpDesc.scala index 06f5b759288..d3c4b30c4c9 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/java/JavaUDFOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/java/JavaUDFOpDesc.scala @@ -144,7 +144,7 @@ class JavaUDFOpDesc extends LogicalOp { OperatorInfo( "Java UDF", "User-defined function operator in Java script", - OperatorGroupConstants.UDF_GROUP, + OperatorGroupConstants.JAVA_GROUP, inputPortInfo, outputPortInfo, dynamicInputPorts = true, diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/python/DualInputPortsPythonUDFOpDescV2.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/python/DualInputPortsPythonUDFOpDescV2.scala index 9a5928e9756..0f8c57f6d6f 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/python/DualInputPortsPythonUDFOpDescV2.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/python/DualInputPortsPythonUDFOpDescV2.scala @@ -113,7 +113,7 @@ class DualInputPortsPythonUDFOpDescV2 extends LogicalOp { OperatorInfo( "2-in Python UDF", "User-defined function operator in Python script", - OperatorGroupConstants.UDF_GROUP, + OperatorGroupConstants.PYTHON_GROUP, inputPorts = List( InputPort(PortIdentity(), displayName = "model", allowMultiLinks = true), InputPort( diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/python/PythonLambdaFunctionOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/python/PythonLambdaFunctionOpDesc.scala index d205bd6d636..3408a7f48c0 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/python/PythonLambdaFunctionOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/python/PythonLambdaFunctionOpDesc.scala @@ -44,7 +44,7 @@ class PythonLambdaFunctionOpDesc extends PythonOperatorDescriptor { OperatorInfo( "Python Lambda Function", "Modify or add a new column with more ease", - OperatorGroupConstants.UDF_GROUP, + OperatorGroupConstants.PYTHON_GROUP, inputPorts = List(InputPort()), outputPorts = List(OutputPort()), supportReconfiguration = true diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/python/PythonTableReducerOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/python/PythonTableReducerOpDesc.scala index 7fcce27f894..fb7f82ccaa6 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/python/PythonTableReducerOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/python/PythonTableReducerOpDesc.scala @@ -24,7 +24,7 @@ class PythonTableReducerOpDesc extends PythonOperatorDescriptor { OperatorInfo( "Python Table Reducer", "Reduce Table to Tuple", - OperatorGroupConstants.UDF_GROUP, + OperatorGroupConstants.PYTHON_GROUP, inputPorts = List(InputPort()), outputPorts = List(OutputPort()) ) diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/python/PythonUDFOpDescV2.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/python/PythonUDFOpDescV2.scala index 143992e6a47..a736e23696a 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/python/PythonUDFOpDescV2.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/python/PythonUDFOpDescV2.scala @@ -152,7 +152,7 @@ class PythonUDFOpDescV2 extends LogicalOp { OperatorInfo( "Python UDF", "User-defined function operator in Python script", - OperatorGroupConstants.UDF_GROUP, + OperatorGroupConstants.PYTHON_GROUP, inputPortInfo, outputPortInfo, dynamicInputPorts = true, diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/python/source/PythonUDFSourceOpDescV2.java b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/python/source/PythonUDFSourceOpDescV2.java index 76dcccf48a1..cb8c155449e 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/python/source/PythonUDFSourceOpDescV2.java +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/python/source/PythonUDFSourceOpDescV2.java @@ -97,7 +97,7 @@ public OperatorInfo operatorInfo() { return new OperatorInfo( "1-out Python UDF", "User-defined function operator in Python script", - OperatorGroupConstants.UDF_GROUP(), + OperatorGroupConstants.PYTHON_GROUP(), asScala(new ArrayList()).toList(), asScala(singletonList(new OutputPort(new PortIdentity(0, false), "", false))).toList(), false, From 5488732d70cf4b16af7c6dfb016a233e98e96c6c Mon Sep 17 00:00:00 2001 From: Xinyuan Lin Date: Sun, 12 May 2024 15:20:04 -0700 Subject: [PATCH 31/44] Fix Operator Menu Overflow (#2653) --- .../operator-label/operator-label.component.scss | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) diff --git a/core/gui/src/app/workspace/component/left-panel/operator-menu/operator-label/operator-label.component.scss b/core/gui/src/app/workspace/component/left-panel/operator-menu/operator-label/operator-label.component.scss index 1e1b1b741cb..f3c31281164 100644 --- a/core/gui/src/app/workspace/component/left-panel/operator-menu/operator-label/operator-label.component.scss +++ b/core/gui/src/app/workspace/component/left-panel/operator-menu/operator-label/operator-label.component.scss @@ -4,11 +4,8 @@ .operator-label { white-space: nowrap; - width: 100%; height: 32px; - line-height: 32px; - display: flex; - align-content: center; + line-height: 30px; border-radius: 3px; border: 1px solid rgba(0, 0, 0, 0); transition: From 1ce1edb2771a226f6035a1b63fb722d6d60eb59b Mon Sep 17 00:00:00 2001 From: Xinyuan Lin Date: Sun, 12 May 2024 20:05:06 -0700 Subject: [PATCH 32/44] Sync JOOQ codegen classes with latest DDL (#2652) As title --- .../web/model/jooq/generated/Indexes.java | 4 +- .../texera/web/model/jooq/generated/Keys.java | 4 +- .../generated/tables/WorkflowExecutions.java | 20 +- .../tables/daos/WorkflowExecutionsDao.java | 28 +-- .../interfaces/IWorkflowExecutions.java | 20 +- .../tables/pojos/WorkflowExecutions.java | 36 ++-- .../records/WorkflowExecutionsRecord.java | 202 +++++++++--------- 7 files changed, 157 insertions(+), 157 deletions(-) diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/web/model/jooq/generated/Indexes.java b/core/amber/src/main/scala/edu/uci/ics/texera/web/model/jooq/generated/Indexes.java index 955fd18a928..f6ece46f9e0 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/web/model/jooq/generated/Indexes.java +++ b/core/amber/src/main/scala/edu/uci/ics/texera/web/model/jooq/generated/Indexes.java @@ -79,7 +79,7 @@ public class Indexes { public static final Index USER_FILE_ACCESS_PRIMARY = Indexes0.USER_FILE_ACCESS_PRIMARY; public static final Index WORKFLOW_IDX_WORKFLOW_NAME_DESCRIPTION_CONTENT = Indexes0.WORKFLOW_IDX_WORKFLOW_NAME_DESCRIPTION_CONTENT; public static final Index WORKFLOW_PRIMARY = Indexes0.WORKFLOW_PRIMARY; - public static final Index WORKFLOW_EXECUTIONS_FK_ENVIRONMENT_EID = Indexes0.WORKFLOW_EXECUTIONS_FK_ENVIRONMENT_EID; + public static final Index WORKFLOW_EXECUTIONS_ENVIRONMENT_EID = Indexes0.WORKFLOW_EXECUTIONS_ENVIRONMENT_EID; public static final Index WORKFLOW_EXECUTIONS_PRIMARY = Indexes0.WORKFLOW_EXECUTIONS_PRIMARY; public static final Index WORKFLOW_EXECUTIONS_UID = Indexes0.WORKFLOW_EXECUTIONS_UID; public static final Index WORKFLOW_EXECUTIONS_VID = Indexes0.WORKFLOW_EXECUTIONS_VID; @@ -136,7 +136,7 @@ private static class Indexes0 { public static Index USER_FILE_ACCESS_PRIMARY = Internal.createIndex("PRIMARY", UserFileAccess.USER_FILE_ACCESS, new OrderField[] { UserFileAccess.USER_FILE_ACCESS.UID, UserFileAccess.USER_FILE_ACCESS.FID }, true); public static Index WORKFLOW_IDX_WORKFLOW_NAME_DESCRIPTION_CONTENT = Internal.createIndex("idx_workflow_name_description_content", Workflow.WORKFLOW, new OrderField[] { Workflow.WORKFLOW.NAME, Workflow.WORKFLOW.DESCRIPTION, Workflow.WORKFLOW.CONTENT }, false); public static Index WORKFLOW_PRIMARY = Internal.createIndex("PRIMARY", Workflow.WORKFLOW, new OrderField[] { Workflow.WORKFLOW.WID }, true); - public static Index WORKFLOW_EXECUTIONS_FK_ENVIRONMENT_EID = Internal.createIndex("fk_environment_eid", WorkflowExecutions.WORKFLOW_EXECUTIONS, new OrderField[] { WorkflowExecutions.WORKFLOW_EXECUTIONS.ENVIRONMENT_EID }, false); + public static Index WORKFLOW_EXECUTIONS_ENVIRONMENT_EID = Internal.createIndex("environment_eid", WorkflowExecutions.WORKFLOW_EXECUTIONS, new OrderField[] { WorkflowExecutions.WORKFLOW_EXECUTIONS.ENVIRONMENT_EID }, false); public static Index WORKFLOW_EXECUTIONS_PRIMARY = Internal.createIndex("PRIMARY", WorkflowExecutions.WORKFLOW_EXECUTIONS, new OrderField[] { WorkflowExecutions.WORKFLOW_EXECUTIONS.EID }, true); public static Index WORKFLOW_EXECUTIONS_UID = Internal.createIndex("uid", WorkflowExecutions.WORKFLOW_EXECUTIONS, new OrderField[] { WorkflowExecutions.WORKFLOW_EXECUTIONS.UID }, false); public static Index WORKFLOW_EXECUTIONS_VID = Internal.createIndex("vid", WorkflowExecutions.WORKFLOW_EXECUTIONS, new OrderField[] { WorkflowExecutions.WORKFLOW_EXECUTIONS.VID }, false); diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/web/model/jooq/generated/Keys.java b/core/amber/src/main/scala/edu/uci/ics/texera/web/model/jooq/generated/Keys.java index 11a5686d1c8..755739e2ce1 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/web/model/jooq/generated/Keys.java +++ b/core/amber/src/main/scala/edu/uci/ics/texera/web/model/jooq/generated/Keys.java @@ -135,7 +135,7 @@ public class Keys { public static final ForeignKey USER_FILE_ACCESS_IBFK_2 = ForeignKeys0.USER_FILE_ACCESS_IBFK_2; public static final ForeignKey WORKFLOW_EXECUTIONS_IBFK_1 = ForeignKeys0.WORKFLOW_EXECUTIONS_IBFK_1; public static final ForeignKey WORKFLOW_EXECUTIONS_IBFK_2 = ForeignKeys0.WORKFLOW_EXECUTIONS_IBFK_2; - public static final ForeignKey FK_ENVIRONMENT_EID = ForeignKeys0.FK_ENVIRONMENT_EID; + public static final ForeignKey WORKFLOW_EXECUTIONS_IBFK_3 = ForeignKeys0.WORKFLOW_EXECUTIONS_IBFK_3; public static final ForeignKey WORKFLOW_OF_PROJECT_IBFK_1 = ForeignKeys0.WORKFLOW_OF_PROJECT_IBFK_1; public static final ForeignKey WORKFLOW_OF_PROJECT_IBFK_2 = ForeignKeys0.WORKFLOW_OF_PROJECT_IBFK_2; public static final ForeignKey WORKFLOW_OF_USER_IBFK_1 = ForeignKeys0.WORKFLOW_OF_USER_IBFK_1; @@ -215,7 +215,7 @@ private static class ForeignKeys0 { public static final ForeignKey USER_FILE_ACCESS_IBFK_2 = Internal.createForeignKey(edu.uci.ics.texera.web.model.jooq.generated.Keys.KEY_FILE_PRIMARY, UserFileAccess.USER_FILE_ACCESS, "user_file_access_ibfk_2", UserFileAccess.USER_FILE_ACCESS.FID); public static final ForeignKey WORKFLOW_EXECUTIONS_IBFK_1 = Internal.createForeignKey(edu.uci.ics.texera.web.model.jooq.generated.Keys.KEY_WORKFLOW_VERSION_PRIMARY, WorkflowExecutions.WORKFLOW_EXECUTIONS, "workflow_executions_ibfk_1", WorkflowExecutions.WORKFLOW_EXECUTIONS.VID); public static final ForeignKey WORKFLOW_EXECUTIONS_IBFK_2 = Internal.createForeignKey(edu.uci.ics.texera.web.model.jooq.generated.Keys.KEY_USER_PRIMARY, WorkflowExecutions.WORKFLOW_EXECUTIONS, "workflow_executions_ibfk_2", WorkflowExecutions.WORKFLOW_EXECUTIONS.UID); - public static final ForeignKey FK_ENVIRONMENT_EID = Internal.createForeignKey(edu.uci.ics.texera.web.model.jooq.generated.Keys.KEY_ENVIRONMENT_PRIMARY, WorkflowExecutions.WORKFLOW_EXECUTIONS, "fk_environment_eid", WorkflowExecutions.WORKFLOW_EXECUTIONS.ENVIRONMENT_EID); + public static final ForeignKey WORKFLOW_EXECUTIONS_IBFK_3 = Internal.createForeignKey(edu.uci.ics.texera.web.model.jooq.generated.Keys.KEY_ENVIRONMENT_PRIMARY, WorkflowExecutions.WORKFLOW_EXECUTIONS, "workflow_executions_ibfk_3", WorkflowExecutions.WORKFLOW_EXECUTIONS.ENVIRONMENT_EID); public static final ForeignKey WORKFLOW_OF_PROJECT_IBFK_1 = Internal.createForeignKey(edu.uci.ics.texera.web.model.jooq.generated.Keys.KEY_WORKFLOW_PRIMARY, WorkflowOfProject.WORKFLOW_OF_PROJECT, "workflow_of_project_ibfk_1", WorkflowOfProject.WORKFLOW_OF_PROJECT.WID); public static final ForeignKey WORKFLOW_OF_PROJECT_IBFK_2 = Internal.createForeignKey(edu.uci.ics.texera.web.model.jooq.generated.Keys.KEY_PROJECT_PRIMARY, WorkflowOfProject.WORKFLOW_OF_PROJECT, "workflow_of_project_ibfk_2", WorkflowOfProject.WORKFLOW_OF_PROJECT.PID); public static final ForeignKey WORKFLOW_OF_USER_IBFK_1 = Internal.createForeignKey(edu.uci.ics.texera.web.model.jooq.generated.Keys.KEY_USER_PRIMARY, WorkflowOfUser.WORKFLOW_OF_USER, "workflow_of_user_ibfk_1", WorkflowOfUser.WORKFLOW_OF_USER.UID); diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/web/model/jooq/generated/tables/WorkflowExecutions.java b/core/amber/src/main/scala/edu/uci/ics/texera/web/model/jooq/generated/tables/WorkflowExecutions.java index 8d2fc17206a..55270abe256 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/web/model/jooq/generated/tables/WorkflowExecutions.java +++ b/core/amber/src/main/scala/edu/uci/ics/texera/web/model/jooq/generated/tables/WorkflowExecutions.java @@ -35,7 +35,7 @@ @SuppressWarnings({ "all", "unchecked", "rawtypes" }) public class WorkflowExecutions extends TableImpl { - private static final long serialVersionUID = 589554867; + private static final long serialVersionUID = -408740655; /** * The reference instance of texera_db.workflow_executions @@ -65,6 +65,11 @@ public Class getRecordType() { */ public final TableField UID = createField(DSL.name("uid"), org.jooq.impl.SQLDataType.INTEGERUNSIGNED.nullable(false), this, ""); + /** + * The column texera_db.workflow_executions.environment_eid. + */ + public final TableField ENVIRONMENT_EID = createField(DSL.name("environment_eid"), org.jooq.impl.SQLDataType.INTEGERUNSIGNED, this, ""); + /** * The column texera_db.workflow_executions.status. */ @@ -105,11 +110,6 @@ public Class getRecordType() { */ public final TableField LOG_LOCATION = createField(DSL.name("log_location"), org.jooq.impl.SQLDataType.CLOB, this, ""); - /** - * The column texera_db.workflow_executions.environment_eid. - */ - public final TableField ENVIRONMENT_EID = createField(DSL.name("environment_eid"), org.jooq.impl.SQLDataType.INTEGERUNSIGNED, this, ""); - /** * Create a texera_db.workflow_executions table reference */ @@ -150,7 +150,7 @@ public Schema getSchema() { @Override public List getIndexes() { - return Arrays.asList(Indexes.WORKFLOW_EXECUTIONS_FK_ENVIRONMENT_EID, Indexes.WORKFLOW_EXECUTIONS_PRIMARY, Indexes.WORKFLOW_EXECUTIONS_UID, Indexes.WORKFLOW_EXECUTIONS_VID); + return Arrays.asList(Indexes.WORKFLOW_EXECUTIONS_ENVIRONMENT_EID, Indexes.WORKFLOW_EXECUTIONS_PRIMARY, Indexes.WORKFLOW_EXECUTIONS_UID, Indexes.WORKFLOW_EXECUTIONS_VID); } @Override @@ -170,7 +170,7 @@ public List> getKeys() { @Override public List> getReferences() { - return Arrays.>asList(Keys.WORKFLOW_EXECUTIONS_IBFK_1, Keys.WORKFLOW_EXECUTIONS_IBFK_2, Keys.FK_ENVIRONMENT_EID); + return Arrays.>asList(Keys.WORKFLOW_EXECUTIONS_IBFK_1, Keys.WORKFLOW_EXECUTIONS_IBFK_2, Keys.WORKFLOW_EXECUTIONS_IBFK_3); } public WorkflowVersion workflowVersion() { @@ -182,7 +182,7 @@ public User user() { } public Environment environment() { - return new Environment(this, Keys.FK_ENVIRONMENT_EID); + return new Environment(this, Keys.WORKFLOW_EXECUTIONS_IBFK_3); } @Override @@ -216,7 +216,7 @@ public WorkflowExecutions rename(Name name) { // ------------------------------------------------------------------------- @Override - public Row12 fieldsRow() { + public Row12 fieldsRow() { return (Row12) super.fieldsRow(); } } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/web/model/jooq/generated/tables/daos/WorkflowExecutionsDao.java b/core/amber/src/main/scala/edu/uci/ics/texera/web/model/jooq/generated/tables/daos/WorkflowExecutionsDao.java index 254b955d552..e6d66f57664 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/web/model/jooq/generated/tables/daos/WorkflowExecutionsDao.java +++ b/core/amber/src/main/scala/edu/uci/ics/texera/web/model/jooq/generated/tables/daos/WorkflowExecutionsDao.java @@ -89,6 +89,20 @@ public Listenvironment_eid BETWEEN lowerInclusive AND upperInclusive + */ + public List fetchRangeOfEnvironmentEid(UInteger lowerInclusive, UInteger upperInclusive) { + return fetchRange(WorkflowExecutions.WORKFLOW_EXECUTIONS.ENVIRONMENT_EID, lowerInclusive, upperInclusive); + } + + /** + * Fetch records that have environment_eid IN (values) + */ + public List fetchByEnvironmentEid(UInteger... values) { + return fetch(WorkflowExecutions.WORKFLOW_EXECUTIONS.ENVIRONMENT_EID, values); + } + /** * Fetch records that have status BETWEEN lowerInclusive AND upperInclusive */ @@ -200,18 +214,4 @@ public List fetchByLogLocation(String... values) { return fetch(WorkflowExecutions.WORKFLOW_EXECUTIONS.LOG_LOCATION, values); } - - /** - * Fetch records that have environment_eid BETWEEN lowerInclusive AND upperInclusive - */ - public List fetchRangeOfEnvironmentEid(UInteger lowerInclusive, UInteger upperInclusive) { - return fetchRange(WorkflowExecutions.WORKFLOW_EXECUTIONS.ENVIRONMENT_EID, lowerInclusive, upperInclusive); - } - - /** - * Fetch records that have environment_eid IN (values) - */ - public List fetchByEnvironmentEid(UInteger... values) { - return fetch(WorkflowExecutions.WORKFLOW_EXECUTIONS.ENVIRONMENT_EID, values); - } } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/web/model/jooq/generated/tables/interfaces/IWorkflowExecutions.java b/core/amber/src/main/scala/edu/uci/ics/texera/web/model/jooq/generated/tables/interfaces/IWorkflowExecutions.java index da8d99c5443..c7bfbdcbf9e 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/web/model/jooq/generated/tables/interfaces/IWorkflowExecutions.java +++ b/core/amber/src/main/scala/edu/uci/ics/texera/web/model/jooq/generated/tables/interfaces/IWorkflowExecutions.java @@ -46,6 +46,16 @@ public interface IWorkflowExecutions extends Serializable { */ public UInteger getUid(); + /** + * Setter for texera_db.workflow_executions.environment_eid. + */ + public void setEnvironmentEid(UInteger value); + + /** + * Getter for texera_db.workflow_executions.environment_eid. + */ + public UInteger getEnvironmentEid(); + /** * Setter for texera_db.workflow_executions.status. */ @@ -126,16 +136,6 @@ public interface IWorkflowExecutions extends Serializable { */ public String getLogLocation(); - /** - * Setter for texera_db.workflow_executions.environment_eid. - */ - public void setEnvironmentEid(UInteger value); - - /** - * Getter for texera_db.workflow_executions.environment_eid. - */ - public UInteger getEnvironmentEid(); - // ------------------------------------------------------------------------- // FROM and INTO // ------------------------------------------------------------------------- diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/web/model/jooq/generated/tables/pojos/WorkflowExecutions.java b/core/amber/src/main/scala/edu/uci/ics/texera/web/model/jooq/generated/tables/pojos/WorkflowExecutions.java index 2a4c1d23eff..e200239388b 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/web/model/jooq/generated/tables/pojos/WorkflowExecutions.java +++ b/core/amber/src/main/scala/edu/uci/ics/texera/web/model/jooq/generated/tables/pojos/WorkflowExecutions.java @@ -17,11 +17,12 @@ @SuppressWarnings({ "all", "unchecked", "rawtypes" }) public class WorkflowExecutions implements IWorkflowExecutions { - private static final long serialVersionUID = 709249401; + private static final long serialVersionUID = 1253486979; private UInteger eid; private UInteger vid; private UInteger uid; + private UInteger environmentEid; private Byte status; private String result; private Timestamp startingTime; @@ -30,7 +31,6 @@ public class WorkflowExecutions implements IWorkflowExecutions { private String name; private String environmentVersion; private String logLocation; - private UInteger environmentEid; public WorkflowExecutions() {} @@ -38,6 +38,7 @@ public WorkflowExecutions(IWorkflowExecutions value) { this.eid = value.getEid(); this.vid = value.getVid(); this.uid = value.getUid(); + this.environmentEid = value.getEnvironmentEid(); this.status = value.getStatus(); this.result = value.getResult(); this.startingTime = value.getStartingTime(); @@ -46,13 +47,13 @@ public WorkflowExecutions(IWorkflowExecutions value) { this.name = value.getName(); this.environmentVersion = value.getEnvironmentVersion(); this.logLocation = value.getLogLocation(); - this.environmentEid = value.getEnvironmentEid(); } public WorkflowExecutions( UInteger eid, UInteger vid, UInteger uid, + UInteger environmentEid, Byte status, String result, Timestamp startingTime, @@ -60,12 +61,12 @@ public WorkflowExecutions( Byte bookmarked, String name, String environmentVersion, - String logLocation, - UInteger environmentEid + String logLocation ) { this.eid = eid; this.vid = vid; this.uid = uid; + this.environmentEid = environmentEid; this.status = status; this.result = result; this.startingTime = startingTime; @@ -74,7 +75,6 @@ public WorkflowExecutions( this.name = name; this.environmentVersion = environmentVersion; this.logLocation = logLocation; - this.environmentEid = environmentEid; } @Override @@ -107,6 +107,16 @@ public void setUid(UInteger uid) { this.uid = uid; } + @Override + public UInteger getEnvironmentEid() { + return this.environmentEid; + } + + @Override + public void setEnvironmentEid(UInteger environmentEid) { + this.environmentEid = environmentEid; + } + @Override public Byte getStatus() { return this.status; @@ -187,16 +197,6 @@ public void setLogLocation(String logLocation) { this.logLocation = logLocation; } - @Override - public UInteger getEnvironmentEid() { - return this.environmentEid; - } - - @Override - public void setEnvironmentEid(UInteger environmentEid) { - this.environmentEid = environmentEid; - } - @Override public String toString() { StringBuilder sb = new StringBuilder("WorkflowExecutions ("); @@ -204,6 +204,7 @@ public String toString() { sb.append(eid); sb.append(", ").append(vid); sb.append(", ").append(uid); + sb.append(", ").append(environmentEid); sb.append(", ").append(status); sb.append(", ").append(result); sb.append(", ").append(startingTime); @@ -212,7 +213,6 @@ public String toString() { sb.append(", ").append(name); sb.append(", ").append(environmentVersion); sb.append(", ").append(logLocation); - sb.append(", ").append(environmentEid); sb.append(")"); return sb.toString(); @@ -227,6 +227,7 @@ public void from(IWorkflowExecutions from) { setEid(from.getEid()); setVid(from.getVid()); setUid(from.getUid()); + setEnvironmentEid(from.getEnvironmentEid()); setStatus(from.getStatus()); setResult(from.getResult()); setStartingTime(from.getStartingTime()); @@ -235,7 +236,6 @@ public void from(IWorkflowExecutions from) { setName(from.getName()); setEnvironmentVersion(from.getEnvironmentVersion()); setLogLocation(from.getLogLocation()); - setEnvironmentEid(from.getEnvironmentEid()); } @Override diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/web/model/jooq/generated/tables/records/WorkflowExecutionsRecord.java b/core/amber/src/main/scala/edu/uci/ics/texera/web/model/jooq/generated/tables/records/WorkflowExecutionsRecord.java index 3a456acb5b6..6a1015e4461 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/web/model/jooq/generated/tables/records/WorkflowExecutionsRecord.java +++ b/core/amber/src/main/scala/edu/uci/ics/texera/web/model/jooq/generated/tables/records/WorkflowExecutionsRecord.java @@ -21,9 +21,9 @@ * This class is generated by jOOQ. */ @SuppressWarnings({ "all", "unchecked", "rawtypes" }) -public class WorkflowExecutionsRecord extends UpdatableRecordImpl implements Record12, IWorkflowExecutions { +public class WorkflowExecutionsRecord extends UpdatableRecordImpl implements Record12, IWorkflowExecutions { - private static final long serialVersionUID = -376962722; + private static final long serialVersionUID = 606021422; /** * Setter for texera_db.workflow_executions.eid. @@ -73,12 +73,28 @@ public UInteger getUid() { return (UInteger) get(2); } + /** + * Setter for texera_db.workflow_executions.environment_eid. + */ + @Override + public void setEnvironmentEid(UInteger value) { + set(3, value); + } + + /** + * Getter for texera_db.workflow_executions.environment_eid. + */ + @Override + public UInteger getEnvironmentEid() { + return (UInteger) get(3); + } + /** * Setter for texera_db.workflow_executions.status. */ @Override public void setStatus(Byte value) { - set(3, value); + set(4, value); } /** @@ -86,7 +102,7 @@ public void setStatus(Byte value) { */ @Override public Byte getStatus() { - return (Byte) get(3); + return (Byte) get(4); } /** @@ -94,7 +110,7 @@ public Byte getStatus() { */ @Override public void setResult(String value) { - set(4, value); + set(5, value); } /** @@ -102,7 +118,7 @@ public void setResult(String value) { */ @Override public String getResult() { - return (String) get(4); + return (String) get(5); } /** @@ -110,7 +126,7 @@ public String getResult() { */ @Override public void setStartingTime(Timestamp value) { - set(5, value); + set(6, value); } /** @@ -118,7 +134,7 @@ public void setStartingTime(Timestamp value) { */ @Override public Timestamp getStartingTime() { - return (Timestamp) get(5); + return (Timestamp) get(6); } /** @@ -126,7 +142,7 @@ public Timestamp getStartingTime() { */ @Override public void setLastUpdateTime(Timestamp value) { - set(6, value); + set(7, value); } /** @@ -134,7 +150,7 @@ public void setLastUpdateTime(Timestamp value) { */ @Override public Timestamp getLastUpdateTime() { - return (Timestamp) get(6); + return (Timestamp) get(7); } /** @@ -142,7 +158,7 @@ public Timestamp getLastUpdateTime() { */ @Override public void setBookmarked(Byte value) { - set(7, value); + set(8, value); } /** @@ -150,7 +166,7 @@ public void setBookmarked(Byte value) { */ @Override public Byte getBookmarked() { - return (Byte) get(7); + return (Byte) get(8); } /** @@ -158,7 +174,7 @@ public Byte getBookmarked() { */ @Override public void setName(String value) { - set(8, value); + set(9, value); } /** @@ -166,7 +182,7 @@ public void setName(String value) { */ @Override public String getName() { - return (String) get(8); + return (String) get(9); } /** @@ -174,7 +190,7 @@ public String getName() { */ @Override public void setEnvironmentVersion(String value) { - set(9, value); + set(10, value); } /** @@ -182,7 +198,7 @@ public void setEnvironmentVersion(String value) { */ @Override public String getEnvironmentVersion() { - return (String) get(9); + return (String) get(10); } /** @@ -190,7 +206,7 @@ public String getEnvironmentVersion() { */ @Override public void setLogLocation(String value) { - set(10, value); + set(11, value); } /** @@ -198,23 +214,7 @@ public void setLogLocation(String value) { */ @Override public String getLogLocation() { - return (String) get(10); - } - - /** - * Setter for texera_db.workflow_executions.environment_eid. - */ - @Override - public void setEnvironmentEid(UInteger value) { - set(11, value); - } - - /** - * Getter for texera_db.workflow_executions.environment_eid. - */ - @Override - public UInteger getEnvironmentEid() { - return (UInteger) get(11); + return (String) get(11); } // ------------------------------------------------------------------------- @@ -231,12 +231,12 @@ public Record1 key() { // ------------------------------------------------------------------------- @Override - public Row12 fieldsRow() { + public Row12 fieldsRow() { return (Row12) super.fieldsRow(); } @Override - public Row12 valuesRow() { + public Row12 valuesRow() { return (Row12) super.valuesRow(); } @@ -256,50 +256,50 @@ public Field field3() { } @Override - public Field field4() { + public Field field4() { + return WorkflowExecutions.WORKFLOW_EXECUTIONS.ENVIRONMENT_EID; + } + + @Override + public Field field5() { return WorkflowExecutions.WORKFLOW_EXECUTIONS.STATUS; } @Override - public Field field5() { + public Field field6() { return WorkflowExecutions.WORKFLOW_EXECUTIONS.RESULT; } @Override - public Field field6() { + public Field field7() { return WorkflowExecutions.WORKFLOW_EXECUTIONS.STARTING_TIME; } @Override - public Field field7() { + public Field field8() { return WorkflowExecutions.WORKFLOW_EXECUTIONS.LAST_UPDATE_TIME; } @Override - public Field field8() { + public Field field9() { return WorkflowExecutions.WORKFLOW_EXECUTIONS.BOOKMARKED; } @Override - public Field field9() { + public Field field10() { return WorkflowExecutions.WORKFLOW_EXECUTIONS.NAME; } @Override - public Field field10() { + public Field field11() { return WorkflowExecutions.WORKFLOW_EXECUTIONS.ENVIRONMENT_VERSION; } @Override - public Field field11() { + public Field field12() { return WorkflowExecutions.WORKFLOW_EXECUTIONS.LOG_LOCATION; } - @Override - public Field field12() { - return WorkflowExecutions.WORKFLOW_EXECUTIONS.ENVIRONMENT_EID; - } - @Override public UInteger component1() { return getEid(); @@ -316,50 +316,50 @@ public UInteger component3() { } @Override - public Byte component4() { + public UInteger component4() { + return getEnvironmentEid(); + } + + @Override + public Byte component5() { return getStatus(); } @Override - public String component5() { + public String component6() { return getResult(); } @Override - public Timestamp component6() { + public Timestamp component7() { return getStartingTime(); } @Override - public Timestamp component7() { + public Timestamp component8() { return getLastUpdateTime(); } @Override - public Byte component8() { + public Byte component9() { return getBookmarked(); } @Override - public String component9() { + public String component10() { return getName(); } @Override - public String component10() { + public String component11() { return getEnvironmentVersion(); } @Override - public String component11() { + public String component12() { return getLogLocation(); } - @Override - public UInteger component12() { - return getEnvironmentEid(); - } - @Override public UInteger value1() { return getEid(); @@ -376,50 +376,50 @@ public UInteger value3() { } @Override - public Byte value4() { + public UInteger value4() { + return getEnvironmentEid(); + } + + @Override + public Byte value5() { return getStatus(); } @Override - public String value5() { + public String value6() { return getResult(); } @Override - public Timestamp value6() { + public Timestamp value7() { return getStartingTime(); } @Override - public Timestamp value7() { + public Timestamp value8() { return getLastUpdateTime(); } @Override - public Byte value8() { + public Byte value9() { return getBookmarked(); } @Override - public String value9() { + public String value10() { return getName(); } @Override - public String value10() { + public String value11() { return getEnvironmentVersion(); } @Override - public String value11() { + public String value12() { return getLogLocation(); } - @Override - public UInteger value12() { - return getEnvironmentEid(); - } - @Override public WorkflowExecutionsRecord value1(UInteger value) { setEid(value); @@ -439,61 +439,61 @@ public WorkflowExecutionsRecord value3(UInteger value) { } @Override - public WorkflowExecutionsRecord value4(Byte value) { + public WorkflowExecutionsRecord value4(UInteger value) { + setEnvironmentEid(value); + return this; + } + + @Override + public WorkflowExecutionsRecord value5(Byte value) { setStatus(value); return this; } @Override - public WorkflowExecutionsRecord value5(String value) { + public WorkflowExecutionsRecord value6(String value) { setResult(value); return this; } @Override - public WorkflowExecutionsRecord value6(Timestamp value) { + public WorkflowExecutionsRecord value7(Timestamp value) { setStartingTime(value); return this; } @Override - public WorkflowExecutionsRecord value7(Timestamp value) { + public WorkflowExecutionsRecord value8(Timestamp value) { setLastUpdateTime(value); return this; } @Override - public WorkflowExecutionsRecord value8(Byte value) { + public WorkflowExecutionsRecord value9(Byte value) { setBookmarked(value); return this; } @Override - public WorkflowExecutionsRecord value9(String value) { + public WorkflowExecutionsRecord value10(String value) { setName(value); return this; } @Override - public WorkflowExecutionsRecord value10(String value) { + public WorkflowExecutionsRecord value11(String value) { setEnvironmentVersion(value); return this; } @Override - public WorkflowExecutionsRecord value11(String value) { + public WorkflowExecutionsRecord value12(String value) { setLogLocation(value); return this; } @Override - public WorkflowExecutionsRecord value12(UInteger value) { - setEnvironmentEid(value); - return this; - } - - @Override - public WorkflowExecutionsRecord values(UInteger value1, UInteger value2, UInteger value3, Byte value4, String value5, Timestamp value6, Timestamp value7, Byte value8, String value9, String value10, String value11, UInteger value12) { + public WorkflowExecutionsRecord values(UInteger value1, UInteger value2, UInteger value3, UInteger value4, Byte value5, String value6, Timestamp value7, Timestamp value8, Byte value9, String value10, String value11, String value12) { value1(value1); value2(value2); value3(value3); @@ -518,6 +518,7 @@ public void from(IWorkflowExecutions from) { setEid(from.getEid()); setVid(from.getVid()); setUid(from.getUid()); + setEnvironmentEid(from.getEnvironmentEid()); setStatus(from.getStatus()); setResult(from.getResult()); setStartingTime(from.getStartingTime()); @@ -526,7 +527,6 @@ public void from(IWorkflowExecutions from) { setName(from.getName()); setEnvironmentVersion(from.getEnvironmentVersion()); setLogLocation(from.getLogLocation()); - setEnvironmentEid(from.getEnvironmentEid()); } @Override @@ -549,20 +549,20 @@ public WorkflowExecutionsRecord() { /** * Create a detached, initialised WorkflowExecutionsRecord */ - public WorkflowExecutionsRecord(UInteger eid, UInteger vid, UInteger uid, Byte status, String result, Timestamp startingTime, Timestamp lastUpdateTime, Byte bookmarked, String name, String environmentVersion, String logLocation, UInteger environmentEid) { + public WorkflowExecutionsRecord(UInteger eid, UInteger vid, UInteger uid, UInteger environmentEid, Byte status, String result, Timestamp startingTime, Timestamp lastUpdateTime, Byte bookmarked, String name, String environmentVersion, String logLocation) { super(WorkflowExecutions.WORKFLOW_EXECUTIONS); set(0, eid); set(1, vid); set(2, uid); - set(3, status); - set(4, result); - set(5, startingTime); - set(6, lastUpdateTime); - set(7, bookmarked); - set(8, name); - set(9, environmentVersion); - set(10, logLocation); - set(11, environmentEid); + set(3, environmentEid); + set(4, status); + set(5, result); + set(6, startingTime); + set(7, lastUpdateTime); + set(8, bookmarked); + set(9, name); + set(10, environmentVersion); + set(11, logLocation); } } From deff16b45f85751f1c5075726c6e1e1627bf8a15 Mon Sep 17 00:00:00 2001 From: Xiaozhen Liu Date: Sun, 12 May 2024 21:59:40 -0700 Subject: [PATCH 33/44] Update Physical Plan DAG to Use PhysicalLink and Support Parallel Edges for DirectedAcyclicGraph (#2656) This PR makes two updates to the Physical Pan's internal DAG structure (from jgrapht): 1. Set `allowMultipleEdges` when constructing `DirectedAcyclicGraph` class from jgrapht to allow parallel edges between two operators. This is done for both `LogicalPlan` and `PhysicalPlan`. 2. Use `PhysicalLink` instead of `DefaultEdge` so parallel edges between two operators (connecting to different ports) can be distinguished. These updates can fix errors in scheduling DAGs with parallel edges, for both RPGs. --------- Co-authored-by: Yicong Huang <17627829+Yicong-Huang@users.noreply.github.com> --- .../CostBasedRegionPlanGenerator.scala | 4 ++-- .../ExpansionGreedyRegionPlanGenerator.scala | 4 ++-- .../workflow/common/workflow/LogicalPlan.scala | 8 +++++++- .../common/workflow/PhysicalPlan.scala | 18 ++++++++++++------ 4 files changed, 23 insertions(+), 11 deletions(-) diff --git a/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/scheduling/CostBasedRegionPlanGenerator.scala b/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/scheduling/CostBasedRegionPlanGenerator.scala index e2a982c7f0f..fa127431615 100644 --- a/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/scheduling/CostBasedRegionPlanGenerator.scala +++ b/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/scheduling/CostBasedRegionPlanGenerator.scala @@ -8,7 +8,7 @@ import edu.uci.ics.texera.workflow.common.WorkflowContext import edu.uci.ics.texera.workflow.common.storage.OpResultStorage import edu.uci.ics.texera.workflow.common.workflow.PhysicalPlan import org.jgrapht.alg.connectivity.BiconnectivityInspector -import org.jgrapht.graph.{DefaultEdge, DirectedAcyclicGraph, DirectedPseudograph} +import org.jgrapht.graph.{DirectedAcyclicGraph, DirectedPseudograph} import scala.collection.mutable import scala.jdk.CollectionConverters.{CollectionHasAsScala, IteratorHasAsScala} @@ -56,7 +56,7 @@ class CostBasedRegionPlanGenerator( val matEdgesRemovedDAG = matEdges.foldLeft(physicalPlan) { (currentPlan, linkToRemove) => currentPlan.removeLink(linkToRemove) } - val connectedComponents = new BiconnectivityInspector[PhysicalOpIdentity, DefaultEdge]( + val connectedComponents = new BiconnectivityInspector[PhysicalOpIdentity, PhysicalLink]( matEdgesRemovedDAG.dag ).getConnectedComponents.asScala.toSet connectedComponents.zipWithIndex.map { diff --git a/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/scheduling/ExpansionGreedyRegionPlanGenerator.scala b/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/scheduling/ExpansionGreedyRegionPlanGenerator.scala index 013610a37b9..98fb45d70eb 100644 --- a/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/scheduling/ExpansionGreedyRegionPlanGenerator.scala +++ b/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/scheduling/ExpansionGreedyRegionPlanGenerator.scala @@ -8,7 +8,7 @@ import edu.uci.ics.texera.workflow.common.WorkflowContext import edu.uci.ics.texera.workflow.common.storage.OpResultStorage import edu.uci.ics.texera.workflow.common.workflow.PhysicalPlan import org.jgrapht.alg.connectivity.BiconnectivityInspector -import org.jgrapht.graph.{DefaultEdge, DirectedAcyclicGraph} +import org.jgrapht.graph.DirectedAcyclicGraph import scala.annotation.tailrec import scala.collection.mutable @@ -64,7 +64,7 @@ class ExpansionGreedyRegionPlanGenerator( */ private def createRegions(physicalPlan: PhysicalPlan): Set[Region] = { val dependeeLinksRemovedDAG = physicalPlan.getDependeeLinksRemovedDAG - val connectedComponents = new BiconnectivityInspector[PhysicalOpIdentity, DefaultEdge]( + val connectedComponents = new BiconnectivityInspector[PhysicalOpIdentity, PhysicalLink]( dependeeLinksRemovedDAG.dag ).getConnectedComponents.asScala.toSet connectedComponents.zipWithIndex.map { diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/workflow/LogicalPlan.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/workflow/LogicalPlan.scala index fa115bbcfc8..65f9695fb78 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/workflow/LogicalPlan.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/workflow/LogicalPlan.scala @@ -9,6 +9,7 @@ import edu.uci.ics.texera.workflow.common.operators.LogicalOp import edu.uci.ics.texera.workflow.common.operators.source.SourceOperatorDescriptor import edu.uci.ics.texera.workflow.common.tuple.schema.Schema import org.jgrapht.graph.DirectedAcyclicGraph +import org.jgrapht.util.SupplierUtil import java.util import scala.collection.mutable.ArrayBuffer @@ -23,7 +24,12 @@ object LogicalPlan { links: List[LogicalLink] ): DirectedAcyclicGraph[OperatorIdentity, LogicalLink] = { val workflowDag = - new DirectedAcyclicGraph[OperatorIdentity, LogicalLink](classOf[LogicalLink]) + new DirectedAcyclicGraph[OperatorIdentity, LogicalLink]( + null, // vertexSupplier + SupplierUtil.createSupplier(classOf[LogicalLink]), // edgeSupplier + false, // weighted + true // allowMultipleEdges + ) operatorList.foreach(op => workflowDag.addVertex(op.operatorIdentifier)) links.foreach(l => workflowDag.addEdge( diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/workflow/PhysicalPlan.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/workflow/PhysicalPlan.scala index dc463982ec2..df16fe76be1 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/workflow/PhysicalPlan.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/workflow/PhysicalPlan.scala @@ -12,8 +12,9 @@ import edu.uci.ics.amber.engine.common.workflow.PhysicalLink import edu.uci.ics.texera.workflow.common.WorkflowContext import org.jgrapht.alg.connectivity.BiconnectivityInspector import org.jgrapht.alg.shortestpath.AllDirectedPaths -import org.jgrapht.graph.{DefaultEdge, DirectedAcyclicGraph} +import org.jgrapht.graph.DirectedAcyclicGraph import org.jgrapht.traverse.TopologicalOrderIterator +import org.jgrapht.util.SupplierUtil import scala.jdk.CollectionConverters.{IteratorHasAsScala, ListHasAsScala, SetHasAsScala} @@ -70,10 +71,15 @@ case class PhysicalPlan( operators.map(o => (o.id, o)).toMap // the dag will be re-computed again once it reaches the coordinator. - @transient lazy val dag: DirectedAcyclicGraph[PhysicalOpIdentity, DefaultEdge] = { - val jgraphtDag = new DirectedAcyclicGraph[PhysicalOpIdentity, DefaultEdge](classOf[DefaultEdge]) + @transient lazy val dag: DirectedAcyclicGraph[PhysicalOpIdentity, PhysicalLink] = { + val jgraphtDag = new DirectedAcyclicGraph[PhysicalOpIdentity, PhysicalLink]( + null, // vertexSupplier + SupplierUtil.createSupplier(classOf[PhysicalLink]), // edgeSupplier + false, // weighted + true // allowMultipleEdges + ) operatorMap.foreach(op => jgraphtDag.addVertex(op._1)) - links.foreach(l => jgraphtDag.addEdge(l.fromOpId, l.toOpId)) + links.foreach(l => jgraphtDag.addEdge(l.fromOpId, l.toOpId, l)) jgraphtDag } @@ -256,7 +262,7 @@ case class PhysicalPlan( */ def getNonBridgeNonBlockingLinks: Set[PhysicalLink] = { val bridges = - new BiconnectivityInspector[PhysicalOpIdentity, DefaultEdge](this.dag).getBridges.asScala + new BiconnectivityInspector[PhysicalOpIdentity, PhysicalLink](this.dag).getBridges.asScala .map { edge => { val fromOpId = this.dag.getEdgeSource(edge) @@ -279,7 +285,7 @@ case class PhysicalPlan( * @return All the maximal chains of this physical plan, where each chain is represented as a set of links. */ private def getMaxChains: Set[Set[PhysicalLink]] = { - val dijkstra = new AllDirectedPaths[PhysicalOpIdentity, DefaultEdge](this.dag) + val dijkstra = new AllDirectedPaths[PhysicalOpIdentity, PhysicalLink](this.dag) val chains = this.dag .vertexSet() .asScala From 3ba1dfe9e53f217fbe363af0d2562fcf743a6269 Mon Sep 17 00:00:00 2001 From: Shengquan Ni <13672781+shengquan-ni@users.noreply.github.com> Date: Sun, 12 May 2024 23:47:20 -0700 Subject: [PATCH 34/44] Add seed attribute to train/test split opeator (#2660) This PR adds the random `seed` as an attribute of train/test split to provide reproducibility of its output. --- .../workflow/operators/split/SplitOpDesc.scala | 12 ++++++------ .../workflow/operators/split/SplitOpExec.scala | 5 ++--- 2 files changed, 8 insertions(+), 9 deletions(-) diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/split/SplitOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/split/SplitOpDesc.scala index 8a9323a8ff5..c86af3cc528 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/split/SplitOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/split/SplitOpDesc.scala @@ -1,10 +1,9 @@ package edu.uci.ics.texera.workflow.operators.split -import com.fasterxml.jackson.annotation.{JsonIgnore, JsonProperty, JsonPropertyDescription} +import com.fasterxml.jackson.annotation.{JsonProperty, JsonPropertyDescription} import com.google.common.base.Preconditions import edu.uci.ics.amber.engine.architecture.deploysemantics.{PhysicalOp, SchemaPropagationFunc} import edu.uci.ics.amber.engine.architecture.deploysemantics.layer.OpExecInitInfo -import edu.uci.ics.amber.engine.common.AmberConfig import edu.uci.ics.amber.engine.common.virtualidentity.{ExecutionIdentity, WorkflowIdentity} import edu.uci.ics.amber.engine.common.workflow.{InputPort, OutputPort, PortIdentity} import edu.uci.ics.texera.workflow.common.metadata.{OperatorGroupConstants, OperatorInfo} @@ -19,9 +18,9 @@ class SplitOpDesc extends LogicalOp { @JsonPropertyDescription("percentage of training split data (default 80%)") var k: Int = 80 - // Store random seeds for each executor to satisfy the fault tolerance requirement. - @JsonIgnore - val seeds: Array[Int] = Array.fill(AmberConfig.numWorkerPerOperatorByDefault)(Random.nextInt()) + @JsonProperty(value = "random seed", required = false) + @JsonPropertyDescription("Random seed for split") + var seed: Int = Random.nextInt() override def getPhysicalOp( workflowId: WorkflowIdentity, @@ -32,10 +31,11 @@ class SplitOpDesc extends LogicalOp { workflowId, executionId, operatorIdentifier, - OpExecInitInfo((idx, _) => new SplitOpExec(k, idx, seeds.apply)) + OpExecInitInfo((_, _) => new SplitOpExec(k, seed)) ) .withInputPorts(operatorInfo.inputPorts) .withOutputPorts(operatorInfo.outputPorts) + .withParallelizable(false) .withPropagateSchema( SchemaPropagationFunc(inputSchemas => operatorInfo.outputPorts diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/split/SplitOpExec.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/split/SplitOpExec.scala index 32a8cc143b4..b3ed107e6b2 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/split/SplitOpExec.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/split/SplitOpExec.scala @@ -9,11 +9,10 @@ import scala.util.Random class SplitOpExec( k: Int, - worker: Int, - getSeed: Int => Int + seed: Int ) extends OperatorExecutor { - lazy val random = new Random(getSeed(worker)) + lazy val random = new Random(seed) override def processTupleMultiPort( tuple: Tuple, From 441b196621fb2f5474bf2197e2682330e06e0c0a Mon Sep 17 00:00:00 2001 From: Yicong Huang <17627829+Yicong-Huang@users.noreply.github.com> Date: Tue, 14 May 2024 20:09:28 -1000 Subject: [PATCH 35/44] Fix HideAnnotation (#2663) --- .../operator-property-edit-frame.component.ts | 36 ++++++++++++++----- 1 file changed, 28 insertions(+), 8 deletions(-) diff --git a/core/gui/src/app/workspace/component/property-editor/operator-property-edit-frame/operator-property-edit-frame.component.ts b/core/gui/src/app/workspace/component/property-editor/operator-property-edit-frame/operator-property-edit-frame.component.ts index 30d23d8b3d6..dd3bbaa8f6a 100644 --- a/core/gui/src/app/workspace/component/property-editor/operator-property-edit-frame/operator-property-edit-frame.component.ts +++ b/core/gui/src/app/workspace/component/property-editor/operator-property-edit-frame/operator-property-edit-frame.component.ts @@ -23,6 +23,7 @@ import { AttributeTypeEnumRule, AttributeTypeRuleSet, CustomJSONSchema7, + hideTypes, } from "../../../types/custom-json-schema.interface"; import { isDefined } from "../../../../common/util/predicate"; import { ExecutionState, OperatorState, OperatorStatistics } from "src/app/workspace/types/execute-workflow.interface"; @@ -34,6 +35,7 @@ import { } from "../../../service/dynamic-schema/schema-propagation/schema-propagation.service"; import { createOutputFormChangeEventStream, + createShouldHideFieldFunc, setChildTypeDependency, setHideExpression, } from "src/app/common/formly/formly-utils"; @@ -366,7 +368,7 @@ export class OperatorPropertyEditFrameComponent implements OnInit, OnChanges, On mapSource: CustomJSONSchema7 ): FormlyFieldConfig => { // apply the overridden css style if applicable - mappedField.expressionProperties = { + mappedField.expressions = { "templateOptions.attributes": () => { if ( isDefined(mappedField) && @@ -382,7 +384,8 @@ export class OperatorPropertyEditFrameComponent implements OnInit, OnChanges, On // Disable dummy operator for user if (mappedField.key === "dummyOperator") { - mappedField.expressionProperties = { + mappedField.expressions = { + ...mappedField.expressions, "templateOptions.disabled": () => true, "templateOptions.readonly": () => true, }; @@ -390,7 +393,8 @@ export class OperatorPropertyEditFrameComponent implements OnInit, OnChanges, On // Disable dummy property and value fields for user if (mappedField.key === "dummyProperty" || mappedField.key === "dummyValue") { - mappedField.expressionProperties = { + mappedField.expressions = { + ...mappedField.expressions, "templateOptions.readonly": () => true, "templateOptions.disabled": () => true, }; @@ -398,11 +402,9 @@ export class OperatorPropertyEditFrameComponent implements OnInit, OnChanges, On // Disable dummy property list for all operators, except for dummy operator. if (mappedField.key === "dummyPropertyList") { - mappedField.hide = true; - if (this.currentOperatorSchema?.operatorType === "Dummy") { - mappedField.hide = false; - } - mappedField.expressionProperties = { + mappedField.hide = this.currentOperatorSchema?.operatorType !== "Dummy"; + mappedField.expressions = { + ...mappedField.expressions, "templateOptions.disabled": () => true, "templateOptions.readonly": () => true, "templateOptions.canRemove": () => false, @@ -410,6 +412,24 @@ export class OperatorPropertyEditFrameComponent implements OnInit, OnChanges, On }; } + // conditionally hide the field according to the schema + if ( + isDefined(mapSource.hideExpectedValue) && + isDefined(mapSource.hideTarget) && + isDefined(mapSource.hideType) && + hideTypes.includes(mapSource.hideType) + ) { + mappedField.expressions = { + ...mappedField.expressions, + hide: createShouldHideFieldFunc( + mapSource.hideTarget, + mapSource.hideType, + mapSource.hideExpectedValue, + mapSource.hideOnNull + ), + }; + } + // if the title is fileName, then change it to custom autocomplete input template if (mappedField.key == "fileName") { mappedField.type = "inputautocomplete"; From 39e2d2689dcb654cbb7d262a3a42991e11a5628c Mon Sep 17 00:00:00 2001 From: Yicong Huang <17627829+Yicong-Huang@users.noreply.github.com> Date: Wed, 15 May 2024 17:10:18 -1000 Subject: [PATCH 36/44] Properly clean up workspace before switching workflows (#2569) Before switching the workflows (either to a different workflow or back to dashboard), some established connections and services should be cleaned: 1. stop shared editing; 2. remove workflow metadata; 3. reload back to an empty workflow. --- .../src/app/workspace/component/workspace.component.ts | 10 +++++----- .../workflow-graph/model/workflow-action.service.ts | 6 ++++++ 2 files changed, 11 insertions(+), 5 deletions(-) diff --git a/core/gui/src/app/workspace/component/workspace.component.ts b/core/gui/src/app/workspace/component/workspace.component.ts index 1c9d38c3773..655aa0e3f51 100644 --- a/core/gui/src/app/workspace/component/workspace.component.ts +++ b/core/gui/src/app/workspace/component/workspace.component.ts @@ -39,7 +39,7 @@ export class WorkspaceComponent implements AfterViewInit, OnInit, OnDestroy { public gitCommitHash: string = Version.raw; public showResultPanel: boolean = false; userSystemEnabled = environment.userSystemEnabled; - @ViewChild("codeEditor", { read: ViewContainerRef }) vc!: ViewContainerRef; + @ViewChild("codeEditor", { read: ViewContainerRef }) codeEditorViewRef!: ViewContainerRef; constructor( private userService: UserService, // list additional services in constructor so they are initialized even if no one use them directly @@ -109,7 +109,7 @@ export class WorkspaceComponent implements AfterViewInit, OnInit, OnDestroy { this.registerLoadOperatorMetadata(); - this.codeEditorService.vc = this.vc; + this.codeEditorService.vc = this.codeEditorViewRef; } @HostListener("window:beforeunload") @@ -118,10 +118,10 @@ export class WorkspaceComponent implements AfterViewInit, OnInit, OnDestroy { const workflow = this.workflowActionService.getWorkflow(); this.workflowPersistService.persistWorkflow(workflow).pipe(untilDestroyed(this)).subscribe(); } - this.workflowActionService.setWorkflowMetadata(undefined); - this.workflowActionService.destroySharedModel(); + + this.codeEditorViewRef.clear(); this.workflowWebsocketService.closeWebsocket(); - this.vc.clear(); + this.workflowActionService.clearWorkflow(); } registerAutoCacheWorkFlow(): void { diff --git a/core/gui/src/app/workspace/service/workflow-graph/model/workflow-action.service.ts b/core/gui/src/app/workspace/service/workflow-graph/model/workflow-action.service.ts index fecfd7237ef..e93ddfe40b5 100644 --- a/core/gui/src/app/workspace/service/workflow-graph/model/workflow-action.service.ts +++ b/core/gui/src/app/workspace/service/workflow-graph/model/workflow-action.service.ts @@ -787,6 +787,12 @@ export class WorkflowActionService { this.setWorkflowMetadata({ ...this.workflowMetadata, name: newName }); } + public clearWorkflow(): void { + this.destroySharedModel(); + this.setWorkflowMetadata(undefined); + this.reloadWorkflow(undefined); + } + /** * Need to quit shared-editing room at first. */ From a256d770909883cb329b3b40713a609abf5a8ab0 Mon Sep 17 00:00:00 2001 From: Jiadong Bai <43344272+bobbai00@users.noreply.github.com> Date: Thu, 16 May 2024 16:33:02 -0700 Subject: [PATCH 37/44] Modify the VirtualDocument API semantic (#2664) This PR modifies the `VirtualDocument`, rename some APIs and fix the `write` related APIs so that all write are semantically doing append. --- .../common/storage/VirtualDocument.scala | 44 ++++++++++++------- 1 file changed, 29 insertions(+), 15 deletions(-) diff --git a/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/storage/VirtualDocument.scala b/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/storage/VirtualDocument.scala index b42ec3bdd0c..082e8b790b9 100644 --- a/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/storage/VirtualDocument.scala +++ b/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/storage/VirtualDocument.scala @@ -11,52 +11,66 @@ import java.net.URI */ abstract class VirtualDocument[T >: Null <: AnyRef] { + /** + * get the URI of corresponding document + * @return the URI of the document + */ def getURI: URI /** - * read ith item and return + * find ith item and return * @param i index starting from 0 * @return data item of type T */ - def readItem(i: Int): T = - throw new UnsupportedOperationException("readItem method is not supported") + def getItem(i: Int): T = + throw new NotImplementedError("getItem method is not implemented") /** - * iterate over whole document using iterator + * get a iterator that iterates all indexed items * @return an iterator that return data item of type T */ - def read(): Iterator[T] = throw new UnsupportedOperationException("read method is not supported") + def get(): Iterator[T] = throw new NotImplementedError("get method is not implemented") /** * append one data item to the document * @param item the data item */ - def writeItem(item: T): Unit = - throw new UnsupportedOperationException("writeItem method is not supported") + def setItem(item: T): Unit = + throw new NotImplementedError("setItem method is not implemented") + + /** + * set ith item + * @param item the data item + */ + def setItem(i: Int, item: T): Unit = + throw new NotImplementedError("setItem method is not implemented") /** * append data items from the iterator to the document * @param items iterator for the data item */ def write(items: Iterator[T]): Unit = - throw new UnsupportedOperationException("write method is not supported") + throw new NotImplementedError("write method is not implemented") /** - * overwrite the file content with an opened input stream + * append the file content with an opened input stream * @param inputStream the data source input stream */ - def writeWithStream(inputStream: InputStream): Unit = - throw new UnsupportedOperationException("writeWithStream method is not supported") + def write(inputStream: InputStream): Unit = + throw new NotImplementedError("write method is not implemented") /** - * read the document as an input stream - * + * convert document as an input stream * @return the input stream */ def asInputStream(): InputStream = - throw new UnsupportedOperationException("asInputStream method is not supported") + throw new NotImplementedError("asInputStream method is not implemented") - def asFile(): File = throw new UnsupportedOperationException("asFile method is not supported") + /** + * convert document as a File + * @return the file + */ + def asFile(): File = throw new NotImplementedError("asFile method is not implemented") /** * physically remove current document From 3d69fdcedbb409b47162c4b55406c77e54abe416 Mon Sep 17 00:00:00 2001 From: Shengquan Ni <13672781+shengquan-ni@users.noreply.github.com> Date: Thu, 16 May 2024 22:53:22 -0700 Subject: [PATCH 38/44] Move actor-system related components into AmberRuntime global object (#2667) Before this PR, all variables and functions for the actor system are spread all over the place, this PR moves them into one single object called `AmberRuntime` for better management. --- .../amber/engine/common/AmberRuntime.scala | 90 +++++++++++++++++++ .../ics/amber/engine/common/AmberUtils.scala | 82 ----------------- .../amber/engine/common/CheckpointState.scala | 4 +- .../edu/uci/ics/texera/web/SqlServer.java | 1 - .../uci/ics/texera/web/TexeraRunWorker.scala | 4 +- .../ics/texera/web/TexeraWebApplication.scala | 31 +++---- .../texera/web/WorkflowLifecycleManager.scala | 8 +- .../web/service/ExecutionResultService.scala | 6 +- .../sink/managed/ProgressiveSinkOpDesc.java | 5 +- .../typecasting/TypeCastingOpDesc.java | 5 +- .../source/PythonUDFSourceOpDescV2.java | 5 +- .../util/OperatorDescriptorUtils.scala | 7 ++ .../faulttolerance/CheckpointSpec.scala | 6 +- 13 files changed, 132 insertions(+), 122 deletions(-) create mode 100644 core/amber/src/main/scala/edu/uci/ics/amber/engine/common/AmberRuntime.scala delete mode 100644 core/amber/src/main/scala/edu/uci/ics/amber/engine/common/AmberUtils.scala diff --git a/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/AmberRuntime.scala b/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/AmberRuntime.scala new file mode 100644 index 00000000000..3313b5da458 --- /dev/null +++ b/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/AmberRuntime.scala @@ -0,0 +1,90 @@ +package edu.uci.ics.amber.engine.common + +import akka.actor.{ActorSystem, Address, Cancellable, DeadLetter, Props} +import akka.serialization.{Serialization, SerializationExtension} +import com.typesafe.config.ConfigFactory.defaultApplication +import com.typesafe.config.{Config, ConfigFactory} +import edu.uci.ics.amber.clustering.ClusterListener +import edu.uci.ics.amber.engine.architecture.messaginglayer.DeadLetterMonitorActor + +import java.io.{BufferedReader, InputStreamReader} +import java.net.URL +import scala.concurrent.duration.FiniteDuration +import scala.concurrent.ExecutionContext.Implicits.global + +object AmberRuntime { + + var serde: Serialization = _ + private var _actorSystem: ActorSystem = _ + + def actorSystem: ActorSystem = { + _actorSystem + } + + def scheduleCallThroughActorSystem(delay: FiniteDuration)(call: => Unit): Cancellable = { + _actorSystem.scheduler.scheduleOnce(delay)(call) + } + + def scheduleRecurringCallThroughActorSystem(initialDelay: FiniteDuration, delay: FiniteDuration)( + call: => Unit + ): Cancellable = { + _actorSystem.scheduler.scheduleWithFixedDelay(initialDelay, delay)(() => call) + } + + private def getNodeIpAddress: String = { + try { + val query = new URL("http://checkip.amazonaws.com") + val in = new BufferedReader(new InputStreamReader(query.openStream())) + in.readLine() + } catch { + case e: Exception => throw e + } + } + + def startActorMaster(clusterMode: Boolean): Unit = { + var localIpAddress = "localhost" + if (clusterMode) { + localIpAddress = getNodeIpAddress + } + + val masterConfig = ConfigFactory + .parseString(s""" + akka.remote.artery.canonical.port = 2552 + akka.remote.artery.canonical.hostname = $localIpAddress + akka.cluster.seed-nodes = [ "akka://Amber@$localIpAddress:2552" ] + """) + .withFallback(akkaConfig) + AmberConfig.masterNodeAddr = createMasterAddress(localIpAddress) + createAmberSystem(masterConfig) + } + + def akkaConfig: Config = ConfigFactory.load("cluster").withFallback(defaultApplication()) + + private def createMasterAddress(addr: String): Address = Address("akka", "Amber", addr, 2552) + + def startActorWorker(mainNodeAddress: Option[String]): Unit = { + val addr = mainNodeAddress.getOrElse("localhost") + var localIpAddress = "localhost" + if (mainNodeAddress.isDefined) { + localIpAddress = getNodeIpAddress + } + val workerConfig = ConfigFactory + .parseString(s""" + akka.remote.artery.canonical.hostname = $localIpAddress + akka.remote.artery.canonical.port = 0 + akka.cluster.seed-nodes = [ "akka://Amber@$addr:2552" ] + """) + .withFallback(akkaConfig) + AmberConfig.masterNodeAddr = createMasterAddress(addr) + createAmberSystem(workerConfig) + } + + private def createAmberSystem(actorSystemConf: Config): Unit = { + _actorSystem = ActorSystem("Amber", actorSystemConf) + _actorSystem.actorOf(Props[ClusterListener](), "cluster-info") + val deadLetterMonitorActor = + _actorSystem.actorOf(Props[DeadLetterMonitorActor](), name = "dead-letter-monitor-actor") + _actorSystem.eventStream.subscribe(deadLetterMonitorActor, classOf[DeadLetter]) + serde = SerializationExtension(_actorSystem) + } +} diff --git a/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/AmberUtils.scala b/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/AmberUtils.scala deleted file mode 100644 index 7a8709bfd8d..00000000000 --- a/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/AmberUtils.scala +++ /dev/null @@ -1,82 +0,0 @@ -package edu.uci.ics.amber.engine.common - -import akka.actor.{ActorSystem, Address, DeadLetter, Props} -import akka.serialization.{Serialization, SerializationExtension} -import com.typesafe.config.ConfigFactory.defaultApplication -import com.typesafe.config.{Config, ConfigFactory} -import edu.uci.ics.amber.clustering.ClusterListener -import edu.uci.ics.amber.engine.architecture.messaginglayer.DeadLetterMonitorActor -import scala.jdk.CollectionConverters._ -import java.io.{BufferedReader, InputStreamReader} -import java.net.URL - -object AmberUtils { - - var serde: Serialization = _ - - def toImmutableMap[K, V]( - javaMap: java.util.Map[K, V] - ): scala.collection.immutable.Map[K, V] = { - javaMap.asScala.toMap - } - - def startActorMaster(clusterMode: Boolean): ActorSystem = { - var localIpAddress = "localhost" - if (clusterMode) { - try { - val query = new URL("http://checkip.amazonaws.com") - val in = new BufferedReader(new InputStreamReader(query.openStream())) - localIpAddress = in.readLine() - } catch { - case e: Exception => throw e - } - } - - val masterConfig = ConfigFactory - .parseString(s""" - akka.remote.artery.canonical.port = 2552 - akka.remote.artery.canonical.hostname = $localIpAddress - akka.cluster.seed-nodes = [ "akka://Amber@$localIpAddress:2552" ] - """) - .withFallback(akkaConfig) - AmberConfig.masterNodeAddr = createMasterAddress(localIpAddress) - createAmberSystem(masterConfig) - } - - def akkaConfig: Config = ConfigFactory.load("cluster").withFallback(defaultApplication()) - - def createMasterAddress(addr: String): Address = Address("akka", "Amber", addr, 2552) - - def startActorWorker(mainNodeAddress: Option[String]): ActorSystem = { - val addr = mainNodeAddress.getOrElse("localhost") - var localIpAddress = "localhost" - if (mainNodeAddress.isDefined) { - try { - val query = new URL("http://checkip.amazonaws.com") - val in = new BufferedReader(new InputStreamReader(query.openStream())) - localIpAddress = in.readLine() - } catch { - case e: Exception => throw e - } - } - val workerConfig = ConfigFactory - .parseString(s""" - akka.remote.artery.canonical.hostname = $localIpAddress - akka.remote.artery.canonical.port = 0 - akka.cluster.seed-nodes = [ "akka://Amber@$addr:2552" ] - """) - .withFallback(akkaConfig) - AmberConfig.masterNodeAddr = createMasterAddress(addr) - createAmberSystem(workerConfig) - } - - def createAmberSystem(actorSystemConf: Config): ActorSystem = { - val system = ActorSystem("Amber", actorSystemConf) - system.actorOf(Props[ClusterListener](), "cluster-info") - val deadLetterMonitorActor = - system.actorOf(Props[DeadLetterMonitorActor](), name = "dead-letter-monitor-actor") - system.eventStream.subscribe(deadLetterMonitorActor, classOf[DeadLetter]) - serde = SerializationExtension(system) - system - } -} diff --git a/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/CheckpointState.scala b/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/CheckpointState.scala index 41e7f4e80ac..6f0bdb7fb86 100644 --- a/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/CheckpointState.scala +++ b/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/CheckpointState.scala @@ -7,7 +7,7 @@ class CheckpointState { private val states = new mutable.HashMap[String, SerializedState]() def save[T <: Any](key: String, state: T): Unit = { - states(key) = SerializedState.fromObject(state.asInstanceOf[AnyRef], AmberUtils.serde) + states(key) = SerializedState.fromObject(state.asInstanceOf[AnyRef], AmberRuntime.serde) } def has(key: String): Boolean = { @@ -16,7 +16,7 @@ class CheckpointState { def load[T <: Any](key: String): T = { if (states.contains(key)) { - states(key).toObject(AmberUtils.serde).asInstanceOf[T] + states(key).toObject(AmberRuntime.serde).asInstanceOf[T] } else { throw new RuntimeException(s"no state saved for key = $key") } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/web/SqlServer.java b/core/amber/src/main/scala/edu/uci/ics/texera/web/SqlServer.java index db34d93a569..d5f7bd1b2ef 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/web/SqlServer.java +++ b/core/amber/src/main/scala/edu/uci/ics/texera/web/SqlServer.java @@ -2,7 +2,6 @@ import com.mysql.cj.jdbc.MysqlDataSource; import edu.uci.ics.amber.engine.common.AmberConfig; -import edu.uci.ics.amber.engine.common.AmberUtils; import org.jooq.DSLContext; import org.jooq.SQLDialect; import org.jooq.impl.DSL; diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/web/TexeraRunWorker.scala b/core/amber/src/main/scala/edu/uci/ics/texera/web/TexeraRunWorker.scala index 8814161e968..854bdcf6040 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/web/TexeraRunWorker.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/web/TexeraRunWorker.scala @@ -1,6 +1,6 @@ package edu.uci.ics.texera.web -import edu.uci.ics.amber.engine.common.AmberUtils +import edu.uci.ics.amber.engine.common.AmberRuntime import org.apache.commons.jcs3.access.exception.InvalidArgumentException import scala.annotation.tailrec @@ -25,7 +25,7 @@ object TexeraRunWorker { def main(args: Array[String]): Unit = { val argMap = parseArgs(args) // start actor system worker node - AmberUtils.startActorWorker(argMap.get(Symbol("serverAddr")).asInstanceOf[Option[String]]) + AmberRuntime.startActorWorker(argMap.get(Symbol("serverAddr")).asInstanceOf[Option[String]]) } } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/web/TexeraWebApplication.scala b/core/amber/src/main/scala/edu/uci/ics/texera/web/TexeraWebApplication.scala index dab486f997e..248b32384db 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/web/TexeraWebApplication.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/web/TexeraWebApplication.scala @@ -1,19 +1,18 @@ package edu.uci.ics.texera.web -import akka.actor.{ActorSystem, Cancellable} import com.fasterxml.jackson.databind.module.SimpleModule import com.fasterxml.jackson.module.scala.DefaultScalaModule import com.github.dirkraft.dropwizard.fileassets.FileAssetsBundle import com.github.toastshaman.dropwizard.auth.jwt.JwtAuthFilter import com.typesafe.scalalogging.LazyLogging import edu.uci.ics.amber.engine.architecture.controller.ControllerConfig -import edu.uci.ics.amber.engine.common.{AmberConfig, AmberUtils} +import edu.uci.ics.amber.engine.common.AmberRuntime.scheduleRecurringCallThroughActorSystem +import edu.uci.ics.amber.engine.common.{AmberConfig, AmberRuntime} import edu.uci.ics.amber.engine.common.client.AmberClient import edu.uci.ics.amber.engine.common.storage.SequentialRecordStorage import edu.uci.ics.amber.engine.common.virtualidentity.ExecutionIdentity import edu.uci.ics.texera.Utils import edu.uci.ics.texera.Utils.{maptoStatusCode, objectMapper} -import edu.uci.ics.texera.web.TexeraWebApplication.scheduleRecurringCallThroughActorSystem import edu.uci.ics.texera.web.auth.JwtAuth.jwtConsumer import edu.uci.ics.texera.web.auth.{ GuestAuthFilter, @@ -68,8 +67,7 @@ import org.glassfish.jersey.media.multipart.MultiPartFeature import org.glassfish.jersey.server.filter.RolesAllowedDynamicFeature import java.time.Duration -import scala.concurrent.ExecutionContext.Implicits.global -import scala.concurrent.duration.{DurationInt, FiniteDuration} +import scala.concurrent.duration.DurationInt import org.apache.commons.jcs3.access.exception.InvalidArgumentException import java.net.URI @@ -93,21 +91,16 @@ object TexeraWebApplication { conf: ControllerConfig, errorHandler: Throwable => Unit ): AmberClient = { - new AmberClient(actorSystem, workflowContext, physicalPlan, opResultStorage, conf, errorHandler) - } - - def scheduleCallThroughActorSystem(delay: FiniteDuration)(call: => Unit): Cancellable = { - actorSystem.scheduler.scheduleOnce(delay)(call) - } - - def scheduleRecurringCallThroughActorSystem(initialDelay: FiniteDuration, delay: FiniteDuration)( - call: => Unit - ): Cancellable = { - actorSystem.scheduler.scheduleWithFixedDelay(initialDelay, delay)(() => call) + new AmberClient( + AmberRuntime.actorSystem, + workflowContext, + physicalPlan, + opResultStorage, + conf, + errorHandler + ) } - private var actorSystem: ActorSystem = _ - type OptionMap = Map[Symbol, Any] def parseArgs(args: Array[String]): OptionMap = { @tailrec @@ -133,7 +126,7 @@ object TexeraWebApplication { discardUncommittedChangesOfAllDatasets() // start actor system master node - actorSystem = AmberUtils.startActorMaster(clusterMode) + AmberRuntime.startActorMaster(clusterMode) // start web server new TexeraWebApplication().run( diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/web/WorkflowLifecycleManager.scala b/core/amber/src/main/scala/edu/uci/ics/texera/web/WorkflowLifecycleManager.scala index d1c63697348..185e20fa6a9 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/web/WorkflowLifecycleManager.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/web/WorkflowLifecycleManager.scala @@ -3,6 +3,7 @@ package edu.uci.ics.texera.web import java.time.{LocalDateTime, Duration => JDuration} import akka.actor.Cancellable import com.typesafe.scalalogging.LazyLogging +import edu.uci.ics.amber.engine.common.AmberRuntime import edu.uci.ics.texera.web.storage.ExecutionStateStore import edu.uci.ics.texera.web.workflowruntimestate.{ExecutionMetadataStore, WorkflowAggregatedState} import edu.uci.ics.texera.web.workflowruntimestate.WorkflowAggregatedState.RUNNING @@ -32,10 +33,9 @@ class WorkflowLifecycleManager(id: String, cleanUpTimeout: Int, cleanUpCallback: logger.info( s"[$id] workflow state clean up will start at ${LocalDateTime.now().plus(JDuration.ofSeconds(cleanUpTimeout))}" ) - cleanUpExecution = - TexeraWebApplication.scheduleCallThroughActorSystem(cleanUpTimeout.seconds) { - cleanUp() - } + cleanUpExecution = AmberRuntime.scheduleCallThroughActorSystem(cleanUpTimeout.seconds) { + cleanUp() + } } } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/web/service/ExecutionResultService.scala b/core/amber/src/main/scala/edu/uci/ics/texera/web/service/ExecutionResultService.scala index 8dcfe35399a..0b67141fc20 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/web/service/ExecutionResultService.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/web/service/ExecutionResultService.scala @@ -6,7 +6,7 @@ import com.fasterxml.jackson.databind.node.ObjectNode import com.typesafe.scalalogging.LazyLogging import edu.uci.ics.amber.engine.architecture.controller.ControllerEvent.ExecutionStateUpdate import edu.uci.ics.amber.engine.architecture.controller.promisehandlers.FatalErrorHandler.FatalError -import edu.uci.ics.amber.engine.common.AmberConfig +import edu.uci.ics.amber.engine.common.{AmberConfig, AmberRuntime} import edu.uci.ics.amber.engine.common.client.AmberClient import edu.uci.ics.amber.engine.common.virtualidentity.OperatorIdentity import edu.uci.ics.texera.workflow.common.IncrementalOutputMode.{SET_DELTA, SET_SNAPSHOT} @@ -30,7 +30,7 @@ import edu.uci.ics.texera.web.workflowruntimestate.WorkflowAggregatedState.{ KILLED, RUNNING } -import edu.uci.ics.texera.web.{SubscriptionManager, TexeraWebApplication} +import edu.uci.ics.texera.web.SubscriptionManager import edu.uci.ics.texera.workflow.common.IncrementalOutputMode import edu.uci.ics.texera.workflow.common.storage.OpResultStorage import edu.uci.ics.texera.workflow.common.tuple.Tuple @@ -190,7 +190,7 @@ class ExecutionResultService( { if (newState.state == RUNNING) { if (resultUpdateCancellable == null || resultUpdateCancellable.isCancelled) { - resultUpdateCancellable = TexeraWebApplication + resultUpdateCancellable = AmberRuntime .scheduleRecurringCallThroughActorSystem( 2.seconds, resultPullingFrequency.seconds diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sink/managed/ProgressiveSinkOpDesc.java b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sink/managed/ProgressiveSinkOpDesc.java index f2fce071f6a..b73c5b32eb1 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sink/managed/ProgressiveSinkOpDesc.java +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/sink/managed/ProgressiveSinkOpDesc.java @@ -5,7 +5,7 @@ import edu.uci.ics.amber.engine.architecture.deploysemantics.PhysicalOp; import edu.uci.ics.amber.engine.architecture.deploysemantics.SchemaPropagationFunc; import edu.uci.ics.amber.engine.architecture.deploysemantics.layer.OpExecInitInfo; -import edu.uci.ics.amber.engine.common.AmberUtils; +import edu.uci.ics.amber.engine.common.AmberRuntime; import edu.uci.ics.amber.engine.common.virtualidentity.ExecutionIdentity; import edu.uci.ics.amber.engine.common.virtualidentity.OperatorIdentity; import edu.uci.ics.amber.engine.common.virtualidentity.WorkflowIdentity; @@ -21,6 +21,7 @@ import edu.uci.ics.texera.workflow.operators.sink.SinkOpDesc; import edu.uci.ics.texera.workflow.operators.sink.storage.SinkStorageReader; import edu.uci.ics.texera.workflow.operators.sink.storage.SinkStorageWriter; +import edu.uci.ics.texera.workflow.operators.util.OperatorDescriptorUtils; import scala.Option; import scala.Tuple2; import scala.collection.immutable.Map; @@ -97,7 +98,7 @@ public PhysicalOp getPhysicalOp(WorkflowIdentity workflowId, ExecutionIdentity e // set schema for the storage getStorage().setSchema(outputSchema); // Convert the Java Map to a Scala immutable Map - return AmberUtils.toImmutableMap(javaMap); + return OperatorDescriptorUtils.toImmutableMap(javaMap); }) ); } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/typecasting/TypeCastingOpDesc.java b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/typecasting/TypeCastingOpDesc.java index f2a807f6c60..a624419b920 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/typecasting/TypeCastingOpDesc.java +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/typecasting/TypeCastingOpDesc.java @@ -6,7 +6,7 @@ import edu.uci.ics.amber.engine.architecture.deploysemantics.PhysicalOp; import edu.uci.ics.amber.engine.architecture.deploysemantics.SchemaPropagationFunc; import edu.uci.ics.amber.engine.architecture.deploysemantics.layer.OpExecInitInfo; -import edu.uci.ics.amber.engine.common.AmberUtils; +import edu.uci.ics.amber.engine.common.AmberRuntime; import edu.uci.ics.amber.engine.common.virtualidentity.ExecutionIdentity; import edu.uci.ics.amber.engine.common.virtualidentity.WorkflowIdentity; import edu.uci.ics.amber.engine.common.workflow.InputPort; @@ -19,6 +19,7 @@ import edu.uci.ics.texera.workflow.common.tuple.schema.AttributeTypeUtils; import edu.uci.ics.texera.workflow.common.tuple.schema.Schema; +import edu.uci.ics.texera.workflow.operators.util.OperatorDescriptorUtils; import scala.Tuple2; import scala.collection.immutable.Map; @@ -64,7 +65,7 @@ public PhysicalOp getPhysicalOp(WorkflowIdentity workflowId, ExecutionIdentity e javaMap.put(operatorInfo().outputPorts().head().id(), outputSchema); // Convert the Java Map to a Scala immutable Map - return AmberUtils.toImmutableMap(javaMap); + return OperatorDescriptorUtils.toImmutableMap(javaMap); }) ); } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/python/source/PythonUDFSourceOpDescV2.java b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/python/source/PythonUDFSourceOpDescV2.java index cb8c155449e..f3196d95973 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/python/source/PythonUDFSourceOpDescV2.java +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/python/source/PythonUDFSourceOpDescV2.java @@ -7,7 +7,7 @@ import edu.uci.ics.amber.engine.architecture.deploysemantics.PhysicalOp; import edu.uci.ics.amber.engine.architecture.deploysemantics.SchemaPropagationFunc; import edu.uci.ics.amber.engine.architecture.deploysemantics.layer.OpExecInitInfo; -import edu.uci.ics.amber.engine.common.AmberUtils; +import edu.uci.ics.amber.engine.common.AmberRuntime; import edu.uci.ics.amber.engine.common.virtualidentity.ExecutionIdentity; import edu.uci.ics.amber.engine.common.virtualidentity.WorkflowIdentity; import edu.uci.ics.amber.engine.common.workflow.InputPort; @@ -18,6 +18,7 @@ import edu.uci.ics.texera.workflow.common.operators.source.SourceOperatorDescriptor; import edu.uci.ics.texera.workflow.common.tuple.schema.Attribute; import edu.uci.ics.texera.workflow.common.tuple.schema.Schema; +import edu.uci.ics.texera.workflow.operators.util.OperatorDescriptorUtils; import scala.Option; import scala.collection.immutable.Map; @@ -67,7 +68,7 @@ public PhysicalOp getPhysicalOp(WorkflowIdentity workflowId, ExecutionIdentity e javaMap.put(operatorInfo().outputPorts().head().id(), sourceSchema()); // Convert the Java Map to a Scala immutable Map - return AmberUtils.toImmutableMap(javaMap); + return OperatorDescriptorUtils.toImmutableMap(javaMap); }); PhysicalOp physicalOp = PhysicalOp.sourcePhysicalOp( workflowId, diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/util/OperatorDescriptorUtils.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/util/OperatorDescriptorUtils.scala index df8dce4a713..9aa3edc387f 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/util/OperatorDescriptorUtils.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/util/OperatorDescriptorUtils.scala @@ -1,6 +1,7 @@ package edu.uci.ics.texera.workflow.operators.util import scala.collection.mutable +import scala.jdk.CollectionConverters._ object OperatorDescriptorUtils { @@ -23,4 +24,10 @@ object OperatorDescriptorUtils { goalPerWorker.toList } + def toImmutableMap[K, V]( + javaMap: java.util.Map[K, V] + ): scala.collection.immutable.Map[K, V] = { + javaMap.asScala.toMap + } + } diff --git a/core/amber/src/test/scala/edu/uci/ics/amber/engine/faulttolerance/CheckpointSpec.scala b/core/amber/src/test/scala/edu/uci/ics/amber/engine/faulttolerance/CheckpointSpec.scala index cdcab0becde..9836f128b69 100644 --- a/core/amber/src/test/scala/edu/uci/ics/amber/engine/faulttolerance/CheckpointSpec.scala +++ b/core/amber/src/test/scala/edu/uci/ics/amber/engine/faulttolerance/CheckpointSpec.scala @@ -17,7 +17,7 @@ import edu.uci.ics.amber.engine.architecture.deploysemantics.layer.{ import edu.uci.ics.amber.engine.architecture.worker.WorkflowWorker.StateRestoreConfig import edu.uci.ics.amber.engine.architecture.worker.DataProcessor import edu.uci.ics.amber.engine.common.{ - AmberUtils, + AmberRuntime, CheckpointState, CheckpointSupport, SourceOperatorExecutor @@ -72,9 +72,9 @@ class CheckpointSpec extends AnyFlatSpecLike with BeforeAndAfterAll { ) override def beforeAll(): Unit = { - system = ActorSystem("Amber", AmberUtils.akkaConfig) + system = ActorSystem("Amber", AmberRuntime.akkaConfig) system.actorOf(Props[SingleNodeListener](), "cluster-info") - AmberUtils.serde = SerializationExtension(system) + AmberRuntime.serde = SerializationExtension(system) } "Default controller state" should "be serializable" in { From 6bd995e93727a4ac5f3e1331a99e5b4b6a59ebf3 Mon Sep 17 00:00:00 2001 From: Shengquan Ni <13672781+shengquan-ni@users.noreply.github.com> Date: Fri, 17 May 2024 10:17:46 -0700 Subject: [PATCH 39/44] Associate Python syntax error to the specific UDF operator (#2618) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit This PR makes the error reporting by categorizing **Unfixable** errors into 3 types instead of 2. This is a continuing work after #2195. Now we have the following 3 kinds of **Unfixable** errors: 1. runtime fatal error resulting from a control message from the client. 2. runtime fatal error resulting from the engine itself. 3. compilation errors. Before this PR: There is a global Python Syntax Error with no operator to focus on. 截屏2024-04-26 上午11 58 46 The corresponding Python UDF does not show any error. 截屏2024-04-26 上午11 58 55 After this PR: There is a global Python Syntax Error with the corresponding operator to focus on. 截屏2024-04-26 下午12 03 01 The corresponding Python UDF shows the error. 截屏2024-04-26 下午12 03 11 Co-authored-by: Xiaozhen Liu --- .../architecture/controller/Controller.scala | 14 +++++---- ...ControllerAsyncRPCHandlerInitializer.scala | 1 - .../controller/ControllerEvent.scala | 3 ++ .../promisehandlers/FatalErrorHandler.scala | 29 ------------------- .../PortCompletedHandler.scala | 13 ++++++++- .../pythonworker/PythonProxyServer.scala | 5 ++-- .../RegionExecutionCoordinator.scala | 8 ----- .../engine/architecture/worker/DPThread.scala | 17 ++++++----- .../architecture/worker/DataProcessor.scala | 2 +- .../architecture/worker/WorkflowWorker.scala | 6 ---- .../ControlCommandConvertUtils.scala | 13 +++++---- .../WorkflowRuntimeException.scala | 20 +++++++++---- .../ambermessage/InvocationConvertUtils.scala | 4 ++- .../engine/common/rpc/AsyncRPCClient.scala | 4 --- .../engine/common/rpc/AsyncRPCServer.scala | 1 - .../common/statetransition/StateManager.scala | 23 +++++++++++---- .../statetransition/WorkerStateManager.scala | 4 ++- .../edu/uci/ics/amber/error/ErrorUtils.scala | 13 +++++++++ .../web/service/ExecutionResultService.scala | 6 ++-- .../web/service/ExecutionStatsService.scala | 13 +++------ .../texera/web/service/WorkflowService.scala | 13 +++++++-- .../amber/engine/e2e/DataProcessingSpec.scala | 6 ++-- 22 files changed, 117 insertions(+), 101 deletions(-) delete mode 100644 core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/controller/promisehandlers/FatalErrorHandler.scala diff --git a/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/controller/Controller.scala b/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/controller/Controller.scala index 8755532c845..1370c8a32a4 100644 --- a/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/controller/Controller.scala +++ b/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/controller/Controller.scala @@ -4,16 +4,16 @@ import akka.actor.SupervisorStrategy.Stop import akka.actor.{AllForOneStrategy, Props, SupervisorStrategy} import edu.uci.ics.amber.engine.architecture.common.WorkflowActor import edu.uci.ics.amber.engine.architecture.common.WorkflowActor.NetworkAck -import edu.uci.ics.amber.engine.architecture.controller.Controller.{ - ReplayStatusUpdate, - WorkflowRecoveryStatus -} +import edu.uci.ics.amber.engine.architecture.controller.ControllerEvent.FatalError import edu.uci.ics.amber.engine.architecture.controller.execution.OperatorExecution -import edu.uci.ics.amber.engine.architecture.controller.promisehandlers.FatalErrorHandler.FatalError import edu.uci.ics.amber.engine.architecture.worker.WorkflowWorker.{ FaultToleranceConfig, StateRestoreConfig } +import edu.uci.ics.amber.engine.architecture.controller.Controller.{ + ReplayStatusUpdate, + WorkflowRecoveryStatus +} import edu.uci.ics.amber.engine.common.ambermessage.WorkflowMessage.getInMemSize import edu.uci.ics.amber.engine.common.ambermessage.{ ChannelMarkerPayload, @@ -182,7 +182,9 @@ class Controller( case e: Throwable => val failedWorker = actorRefMappingService.findActorVirtualIdentity(sender()) logger.error(s"Encountered fatal error from $failedWorker, amber is shutting done.", e) - cp.asyncRPCServer.execute(FatalError(e, failedWorker), actorId) + cp.asyncRPCClient.sendToClient( + FatalError(e, failedWorker) + ) // only place to actively report fatal error Stop } diff --git a/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/controller/ControllerAsyncRPCHandlerInitializer.scala b/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/controller/ControllerAsyncRPCHandlerInitializer.scala index e91e7cba1c3..6ecd8d7181e 100644 --- a/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/controller/ControllerAsyncRPCHandlerInitializer.scala +++ b/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/controller/ControllerAsyncRPCHandlerInitializer.scala @@ -17,7 +17,6 @@ class ControllerAsyncRPCHandlerInitializer( with ResumeHandler with StartWorkflowHandler with PortCompletedHandler - with FatalErrorHandler with ConsoleMessageHandler with RetryWorkflowHandler with ModifyLogicHandler diff --git a/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/controller/ControllerEvent.scala b/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/controller/ControllerEvent.scala index 39f56ab1ba6..d8a5809c6df 100644 --- a/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/controller/ControllerEvent.scala +++ b/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/controller/ControllerEvent.scala @@ -20,4 +20,7 @@ object ControllerEvent { case class WorkerAssignmentUpdate(workerMapping: Map[String, Seq[String]]) extends ControlCommand[Unit] + + final case class FatalError(e: Throwable, fromActor: Option[ActorVirtualIdentity] = None) + extends ControlCommand[Unit] } diff --git a/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/controller/promisehandlers/FatalErrorHandler.scala b/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/controller/promisehandlers/FatalErrorHandler.scala deleted file mode 100644 index dd8d59a1a36..00000000000 --- a/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/controller/promisehandlers/FatalErrorHandler.scala +++ /dev/null @@ -1,29 +0,0 @@ -package edu.uci.ics.amber.engine.architecture.controller.promisehandlers - -import edu.uci.ics.amber.engine.architecture.controller.ControllerAsyncRPCHandlerInitializer -import edu.uci.ics.amber.engine.architecture.controller.promisehandlers.FatalErrorHandler.FatalError -import edu.uci.ics.amber.engine.common.rpc.AsyncRPCServer.ControlCommand -import edu.uci.ics.amber.engine.common.virtualidentity.ActorVirtualIdentity - -object FatalErrorHandler { - final case class FatalError(e: Throwable, fromActor: Option[ActorVirtualIdentity] = None) - extends ControlCommand[Unit] -} - -/** Indicate a fatal error has occurred in the workflow - * - * possible sender: controller, worker - */ -trait FatalErrorHandler { - this: ControllerAsyncRPCHandlerInitializer => - - registerHandler[FatalError, Unit] { (msg, sender) => - { - // log the error to console - logger.error("FatalError received", msg) - - //report to client - sendToClient(msg) - } - } -} diff --git a/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/controller/promisehandlers/PortCompletedHandler.scala b/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/controller/promisehandlers/PortCompletedHandler.scala index 8012556cf76..c525158b9f7 100644 --- a/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/controller/promisehandlers/PortCompletedHandler.scala +++ b/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/controller/promisehandlers/PortCompletedHandler.scala @@ -2,10 +2,12 @@ package edu.uci.ics.amber.engine.architecture.controller.promisehandlers import com.twitter.util.Future import edu.uci.ics.amber.engine.architecture.controller.ControllerAsyncRPCHandlerInitializer +import edu.uci.ics.amber.engine.architecture.controller.ControllerEvent.FatalError import edu.uci.ics.amber.engine.architecture.controller.promisehandlers.PortCompletedHandler.PortCompleted import edu.uci.ics.amber.engine.architecture.controller.promisehandlers.QueryWorkerStatisticsHandler.ControllerInitiateQueryStatistics import edu.uci.ics.amber.engine.architecture.scheduling.GlobalPortIdentity import edu.uci.ics.amber.engine.common.VirtualIdentityUtils +import edu.uci.ics.amber.engine.common.amberexception.WorkflowRuntimeException import edu.uci.ics.amber.engine.common.rpc.AsyncRPCServer.ControlCommand import edu.uci.ics.amber.engine.common.virtualidentity.util.CONTROLLER import edu.uci.ics.amber.engine.common.workflow.PortIdentity @@ -56,7 +58,16 @@ trait PortCompletedHandler { else operatorExecution.isOutputPortCompleted(msg.portId) if (isPortCompleted) { - cp.workflowExecutionCoordinator.executeNextRegions(cp.actorService) + cp.workflowExecutionCoordinator + .executeNextRegions(cp.actorService) + // Since this message is sent from a worker, any exception from the above code will be returned to that worker. + // Additionally, a fatal error is sent to the client, indicating that the region cannot be scheduled. + .onFailure { + case err: WorkflowRuntimeException => + sendToClient(FatalError(err, err.relatedWorkerId)) + case other => + sendToClient(FatalError(other, None)) + } } else { // if the port is not completed yet, do nothing Future(()) diff --git a/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/pythonworker/PythonProxyServer.scala b/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/pythonworker/PythonProxyServer.scala index 6e6137d23fb..f63c3537c51 100644 --- a/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/pythonworker/PythonProxyServer.scala +++ b/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/pythonworker/PythonProxyServer.scala @@ -24,6 +24,7 @@ import com.twitter.util.Promise import java.nio.charset.Charset private class AmberProducer( + actorId: ActorVirtualIdentity, outputPort: NetworkOutputGateway, promise: Promise[Int] ) extends NoOpFlightProducer { @@ -42,7 +43,7 @@ private class AmberProducer( case returnInvocation: ReturnInvocationV2 => outputPort.sendTo( to = pythonControlMessage.tag, - payload = returnInvocationToV1(returnInvocation) + payload = returnInvocationToV1(actorId, returnInvocation) ) case controlInvocation: ControlInvocationV2 => @@ -133,7 +134,7 @@ class PythonProxyServer( val allocator: BufferAllocator = new RootAllocator().newChildAllocator("flight-server", 0, Long.MaxValue); - val producer: FlightProducer = new AmberProducer(outputPort, promise) + val producer: FlightProducer = new AmberProducer(actorId, outputPort, promise) val location: Location = (() => { Location.forGrpcInsecure("localhost", portNumber.intValue()) diff --git a/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/scheduling/RegionExecutionCoordinator.scala b/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/scheduling/RegionExecutionCoordinator.scala index 8c245834ebf..231eff2ee1d 100644 --- a/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/scheduling/RegionExecutionCoordinator.scala +++ b/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/scheduling/RegionExecutionCoordinator.scala @@ -11,7 +11,6 @@ import edu.uci.ics.amber.engine.architecture.controller.execution.{ OperatorExecution, WorkflowExecution } -import edu.uci.ics.amber.engine.architecture.controller.promisehandlers.FatalErrorHandler.FatalError import edu.uci.ics.amber.engine.architecture.controller.promisehandlers.LinkWorkersHandler.LinkWorkers import edu.uci.ics.amber.engine.architecture.deploysemantics.PhysicalOp import edu.uci.ics.amber.engine.architecture.worker.promisehandlers.InitializeExecutorHandler.InitializeExecutor @@ -97,13 +96,6 @@ class RegionExecutionCoordinator( .flatMap(_ => connectChannels(region.getLinks)) .flatMap(_ => openOperators(operatorsToInit)) .flatMap(_ => sendStarts(region)) - .rescue { - case err: Throwable => - // this call may come from client or worker(by execution completed) - // thus we need to force it to send error to client. - asyncRPCClient.sendToClient(FatalError(err, None)) - Future.Unit - } .unit } private def buildOperator( diff --git a/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/worker/DPThread.scala b/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/worker/DPThread.scala index ca2f451dad1..fb7838f5530 100644 --- a/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/worker/DPThread.scala +++ b/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/worker/DPThread.scala @@ -1,12 +1,13 @@ package edu.uci.ics.amber.engine.architecture.worker -import edu.uci.ics.amber.engine.architecture.controller.promisehandlers.FatalErrorHandler.FatalError -import edu.uci.ics.amber.engine.architecture.worker.WorkflowWorker.DPInputQueueElement +import edu.uci.ics.amber.engine.architecture.worker.WorkflowWorker.{ + DPInputQueueElement, + MainThreadDelegateMessage +} import edu.uci.ics.amber.engine.architecture.logreplay.ReplayLogManager import edu.uci.ics.amber.engine.architecture.worker.statistics.WorkerState.{READY, UNINITIALIZED} import edu.uci.ics.amber.engine.common.AmberLogging import edu.uci.ics.amber.engine.common.actormessage.{ActorCommand, Backpressure} -import edu.uci.ics.amber.engine.common.amberexception.WorkflowRuntimeException import edu.uci.ics.amber.engine.common.ambermessage.{ ChannelMarkerPayload, ControlPayload, @@ -14,7 +15,7 @@ import edu.uci.ics.amber.engine.common.ambermessage.{ WorkflowFIFOMessage } import edu.uci.ics.amber.engine.common.virtualidentity.{ActorVirtualIdentity, ChannelIdentity} -import edu.uci.ics.amber.engine.common.virtualidentity.util.{CONTROLLER, SELF} +import edu.uci.ics.amber.engine.common.virtualidentity.util.SELF import edu.uci.ics.amber.error.ErrorUtils.safely import java.util.concurrent.{ @@ -85,10 +86,10 @@ class DPThread( logger.info("DP Thread exits") case err: Throwable => logger.error("DP Thread exists unexpectedly", err) - dp.asyncRPCClient.send( - FatalError(new WorkflowRuntimeException("DP Thread exists unexpectedly", err)), - CONTROLLER - ) + dp.outputHandler(Left(MainThreadDelegateMessage((worker) => { + // notify main thread + throw err + }))) } dp.statisticsManager.updateTotalExecutionTime(System.nanoTime()) endFuture.complete(()) diff --git a/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/worker/DataProcessor.scala b/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/worker/DataProcessor.scala index dd4f4f60e1d..be6115e7718 100644 --- a/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/worker/DataProcessor.scala +++ b/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/worker/DataProcessor.scala @@ -60,7 +60,7 @@ class DataProcessor( // inner dependencies private val initializer = new DataProcessorRPCHandlerInitializer(this) val pauseManager: PauseManager = wire[PauseManager] - val stateManager: WorkerStateManager = new WorkerStateManager() + val stateManager: WorkerStateManager = new WorkerStateManager(actorId) val inputManager: InputManager = new InputManager(actorId) val outputManager: OutputManager = new OutputManager(actorId, outputGateway) val channelMarkerManager: ChannelMarkerManager = new ChannelMarkerManager(actorId, inputGateway) diff --git a/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/worker/WorkflowWorker.scala b/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/worker/WorkflowWorker.scala index 6d9fb570148..c9575d5da8a 100644 --- a/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/worker/WorkflowWorker.scala +++ b/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/worker/WorkflowWorker.scala @@ -4,7 +4,6 @@ import akka.actor.Props import edu.uci.ics.amber.engine.architecture.common.WorkflowActor import edu.uci.ics.amber.engine.architecture.common.WorkflowActor.NetworkAck import edu.uci.ics.amber.engine.architecture.controller.Controller.ReplayStatusUpdate -import edu.uci.ics.amber.engine.architecture.controller.promisehandlers.FatalErrorHandler.FatalError import edu.uci.ics.amber.engine.architecture.messaginglayer.WorkerTimerService import edu.uci.ics.amber.engine.architecture.scheduling.config.WorkerConfig import edu.uci.ics.amber.engine.architecture.worker.WorkflowWorker._ @@ -13,7 +12,6 @@ import edu.uci.ics.amber.engine.common.actormessage.{ActorCommand, Backpressure} import edu.uci.ics.amber.engine.common.ambermessage.WorkflowFIFOMessage import edu.uci.ics.amber.engine.common.ambermessage.WorkflowMessage.getInMemSize import edu.uci.ics.amber.engine.common.rpc.AsyncRPCClient.ControlInvocation -import edu.uci.ics.amber.engine.common.virtualidentity.util.CONTROLLER import edu.uci.ics.amber.engine.common.virtualidentity.{ChannelIdentity, ChannelMarkerIdentity} import java.net.URI @@ -102,10 +100,6 @@ class WorkflowWorker( super.preRestart(reason, message) logger.error(s"Encountered fatal error, worker is shutting done.", reason) postStop() - dp.asyncRPCClient.send( - FatalError(reason, Some(workerConfig.workerId)), - CONTROLLER - ) } override def receive: Receive = { diff --git a/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/worker/controlcommands/ControlCommandConvertUtils.scala b/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/worker/controlcommands/ControlCommandConvertUtils.scala index 1f4dda35884..41c8fee60c2 100644 --- a/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/worker/controlcommands/ControlCommandConvertUtils.scala +++ b/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/worker/controlcommands/ControlCommandConvertUtils.scala @@ -11,10 +11,7 @@ import edu.uci.ics.amber.engine.architecture.pythonworker.promisehandlers.Replay import edu.uci.ics.amber.engine.architecture.pythonworker.promisehandlers.WorkerDebugCommandHandler.WorkerDebugCommand import edu.uci.ics.amber.engine.architecture.sendsemantics.partitionings.Partitioning import edu.uci.ics.amber.engine.architecture.worker.controlreturns.ControlReturnV2.Value.Empty -import edu.uci.ics.amber.engine.architecture.worker.controlreturns.{ - ControlException, - ControlReturnV2 -} +import edu.uci.ics.amber.engine.architecture.worker.controlreturns.ControlReturnV2 import edu.uci.ics.amber.engine.architecture.worker.promisehandlers.AddInputChannelHandler.AddInputChannel import edu.uci.ics.amber.engine.architecture.worker.promisehandlers.AddPartitioningHandler.AddPartitioning import edu.uci.ics.amber.engine.architecture.worker.promisehandlers.AssignPortHandler.AssignPort @@ -25,7 +22,9 @@ import edu.uci.ics.amber.engine.architecture.worker.promisehandlers.QueryStatist import edu.uci.ics.amber.engine.architecture.worker.promisehandlers.ResumeHandler.ResumeWorker import edu.uci.ics.amber.engine.architecture.worker.promisehandlers.StartHandler.StartWorker import edu.uci.ics.amber.engine.architecture.worker.statistics.WorkerMetrics +import edu.uci.ics.amber.engine.common.amberexception.WorkflowRuntimeException import edu.uci.ics.amber.engine.common.rpc.AsyncRPCServer.ControlCommand +import edu.uci.ics.amber.engine.common.virtualidentity.ActorVirtualIdentity import edu.uci.ics.amber.engine.common.workflow.PhysicalLink object ControlCommandConvertUtils { @@ -89,13 +88,15 @@ object ControlCommandConvertUtils { } def controlReturnToV1( + actorId: ActorVirtualIdentity, controlReturnV2: ControlReturnV2 ): Any = { controlReturnV2.value match { case Empty => () case _: ControlReturnV2.Value.CurrentInputTupleInfo => null - case exp: ControlReturnV2.Value.ControlException => ControlException(exp.value.msg) - case _ => controlReturnV2.value.value + case exp: ControlReturnV2.Value.ControlException => + new WorkflowRuntimeException(exp.value.msg, Some(actorId)) + case _ => controlReturnV2.value.value } } diff --git a/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/amberexception/WorkflowRuntimeException.scala b/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/amberexception/WorkflowRuntimeException.scala index 0320a381991..d75a9e5eb16 100644 --- a/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/amberexception/WorkflowRuntimeException.scala +++ b/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/amberexception/WorkflowRuntimeException.scala @@ -1,20 +1,30 @@ package edu.uci.ics.amber.engine.common.amberexception -class WorkflowRuntimeException(message: String) - extends RuntimeException(message) +import edu.uci.ics.amber.engine.common.virtualidentity.ActorVirtualIdentity + +class WorkflowRuntimeException( + val message: String, + val relatedWorkerId: Option[ActorVirtualIdentity] = None +) extends RuntimeException(message) with Serializable { - def this(message: String, cause: Throwable) = { - this(message) + def this(message: String, cause: Throwable, relatedWorkerId: Option[ActorVirtualIdentity]) = { + this(message, relatedWorkerId) initCause(cause) } + def this(cause: Throwable, relatedWorkerId: Option[ActorVirtualIdentity]) = { + this(Option(cause).map(_.toString).orNull, cause, relatedWorkerId) + } + def this(cause: Throwable) = { - this(Option(cause).map(_.toString).orNull, cause) + this(Option(cause).map(_.toString).orNull, cause, None) } def this() = { this(null: String) } + override def toString: String = message + } diff --git a/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/ambermessage/InvocationConvertUtils.scala b/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/ambermessage/InvocationConvertUtils.scala index 557e3824e39..adb2fb7093f 100644 --- a/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/ambermessage/InvocationConvertUtils.scala +++ b/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/ambermessage/InvocationConvertUtils.scala @@ -10,6 +10,7 @@ import edu.uci.ics.amber.engine.architecture.worker.controlcommands.{ } import edu.uci.ics.amber.engine.common.rpc.AsyncRPCClient.{ControlInvocation, ReturnInvocation} import edu.uci.ics.amber.engine.common.rpc.AsyncRPCServer.ControlCommand +import edu.uci.ics.amber.engine.common.virtualidentity.ActorVirtualIdentity object InvocationConvertUtils { @@ -31,11 +32,12 @@ object InvocationConvertUtils { } def returnInvocationToV1( + actorId: ActorVirtualIdentity, returnInvocation: ReturnInvocationV2 ): ReturnInvocation = { ReturnInvocation( returnInvocation.originalCommandId, - controlReturnToV1(returnInvocation.controlReturn) + controlReturnToV1(actorId, returnInvocation.controlReturn) ) } diff --git a/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/rpc/AsyncRPCClient.scala b/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/rpc/AsyncRPCClient.scala index 73a248e6889..09fe5173a36 100644 --- a/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/rpc/AsyncRPCClient.scala +++ b/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/rpc/AsyncRPCClient.scala @@ -2,10 +2,8 @@ package edu.uci.ics.amber.engine.common.rpc import com.twitter.util.{Future, Promise} import edu.uci.ics.amber.engine.architecture.messaginglayer.NetworkOutputGateway -import edu.uci.ics.amber.engine.architecture.worker.controlreturns.ControlException import edu.uci.ics.amber.engine.architecture.worker.statistics.WorkerStatistics import edu.uci.ics.amber.engine.common.AmberLogging -import edu.uci.ics.amber.engine.common.amberexception.WorkflowRuntimeException import edu.uci.ics.amber.engine.common.ambermessage.{ ChannelMarkerPayload, ChannelMarkerType, @@ -110,8 +108,6 @@ class AsyncRPCClient( ret.controlReturn match { case error: Throwable => p.setException(error) - case ControlException(msg) => - p.setException(new WorkflowRuntimeException(msg)) case _ => p.setValue(ret.controlReturn.asInstanceOf[p.returnType]) } diff --git a/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/rpc/AsyncRPCServer.scala b/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/rpc/AsyncRPCServer.scala index 75a7617d422..4ef7383b0e4 100644 --- a/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/rpc/AsyncRPCServer.scala +++ b/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/rpc/AsyncRPCServer.scala @@ -70,7 +70,6 @@ class AsyncRPCServer( // if error occurs, return it to the sender. logger.error("Exception occurred", err) returnResult(senderID, control.commandID, err) - // if throw this exception right now, the above message might not be able // to be sent out. We do not throw for now. // throw err diff --git a/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/statetransition/StateManager.scala b/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/statetransition/StateManager.scala index 7be6869a4e1..39291b5c9d3 100644 --- a/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/statetransition/StateManager.scala +++ b/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/statetransition/StateManager.scala @@ -5,28 +5,39 @@ import edu.uci.ics.amber.engine.common.statetransition.StateManager.{ InvalidStateException, InvalidTransitionException } +import edu.uci.ics.amber.engine.common.virtualidentity.ActorVirtualIdentity object StateManager { - case class InvalidStateException(message: String) extends WorkflowRuntimeException(message) + case class InvalidStateException(msg: String, actorId: ActorVirtualIdentity) + extends WorkflowRuntimeException(msg, Some(actorId)) - case class InvalidTransitionException(message: String) extends WorkflowRuntimeException(message) + case class InvalidTransitionException(msg: String, actorId: ActorVirtualIdentity) + extends WorkflowRuntimeException(msg, Some(actorId)) } -class StateManager[T](stateTransitionGraph: Map[T, Set[T]], initialState: T) extends Serializable { +class StateManager[T]( + actorId: ActorVirtualIdentity, + stateTransitionGraph: Map[T, Set[T]], + initialState: T +) extends Serializable { private var currentState: T = initialState def assertState(state: T): Unit = { if (currentState != state) { - throw InvalidStateException(s"except state = $state but current state = $currentState") + throw InvalidStateException( + s"except state = $state but current state = $currentState", + actorId + ) } } def assertState(states: T*): Unit = { if (!states.contains(currentState)) { throw InvalidStateException( - s"except state in [${states.mkString(",")}] but current state = $currentState" + s"except state in [${states.mkString(",")}] but current state = $currentState", + actorId ) } } @@ -51,7 +62,7 @@ class StateManager[T](stateTransitionGraph: Map[T, Set[T]], initialState: T) ext } if (!stateTransitionGraph.getOrElse(currentState, Set()).contains(state)) { - throw InvalidTransitionException(s"cannot transit from $currentState to $state") + throw InvalidTransitionException(s"cannot transit from $currentState to $state", actorId) } currentState = state } diff --git a/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/statetransition/WorkerStateManager.scala b/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/statetransition/WorkerStateManager.scala index 4b13ed11bd7..a931e77f087 100644 --- a/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/statetransition/WorkerStateManager.scala +++ b/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/statetransition/WorkerStateManager.scala @@ -2,14 +2,16 @@ package edu.uci.ics.amber.engine.common.statetransition import edu.uci.ics.amber.engine.architecture.worker.statistics.WorkerState import edu.uci.ics.amber.engine.architecture.worker.statistics.WorkerState._ +import edu.uci.ics.amber.engine.common.virtualidentity.ActorVirtualIdentity // The following pattern is a good practice of enum in scala // We've always used this pattern in the codebase // https://nrinaudo.github.io/scala-best-practices/definitions/adt.html // https://nrinaudo.github.io/scala-best-practices/adts/product_with_serializable.html -class WorkerStateManager(initialState: WorkerState = UNINITIALIZED) +class WorkerStateManager(actorId: ActorVirtualIdentity, initialState: WorkerState = UNINITIALIZED) extends StateManager[WorkerState]( + actorId, Map( UNINITIALIZED -> Set(READY), READY -> Set(PAUSED, RUNNING, COMPLETED), diff --git a/core/amber/src/main/scala/edu/uci/ics/amber/error/ErrorUtils.scala b/core/amber/src/main/scala/edu/uci/ics/amber/error/ErrorUtils.scala index bfb4756e53a..d61055a3ff7 100644 --- a/core/amber/src/main/scala/edu/uci/ics/amber/error/ErrorUtils.scala +++ b/core/amber/src/main/scala/edu/uci/ics/amber/error/ErrorUtils.scala @@ -3,6 +3,7 @@ package edu.uci.ics.amber.error import com.google.protobuf.timestamp.Timestamp import edu.uci.ics.amber.engine.architecture.worker.controlcommands.ConsoleMessage import edu.uci.ics.amber.engine.architecture.worker.controlcommands.ConsoleMessageType.ERROR +import edu.uci.ics.amber.engine.common.VirtualIdentityUtils import edu.uci.ics.amber.engine.common.virtualidentity.ActorVirtualIdentity import java.time.Instant @@ -49,4 +50,16 @@ object ErrorUtils { } } + def getOperatorFromActorIdOpt( + actorIdOpt: Option[ActorVirtualIdentity] + ): (String, String) = { + var operatorId = "unknown operator" + var workerId = "" + if (actorIdOpt.isDefined) { + operatorId = VirtualIdentityUtils.getPhysicalOpId(actorIdOpt.get).logicalOpId.id + workerId = actorIdOpt.get.name + } + (operatorId, workerId) + } + } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/web/service/ExecutionResultService.scala b/core/amber/src/main/scala/edu/uci/ics/texera/web/service/ExecutionResultService.scala index 0b67141fc20..2050e6f5a74 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/web/service/ExecutionResultService.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/web/service/ExecutionResultService.scala @@ -4,8 +4,10 @@ import akka.actor.Cancellable import com.fasterxml.jackson.annotation.{JsonTypeInfo, JsonTypeName} import com.fasterxml.jackson.databind.node.ObjectNode import com.typesafe.scalalogging.LazyLogging -import edu.uci.ics.amber.engine.architecture.controller.ControllerEvent.ExecutionStateUpdate -import edu.uci.ics.amber.engine.architecture.controller.promisehandlers.FatalErrorHandler.FatalError +import edu.uci.ics.amber.engine.architecture.controller.ControllerEvent.{ + ExecutionStateUpdate, + FatalError +} import edu.uci.ics.amber.engine.common.{AmberConfig, AmberRuntime} import edu.uci.ics.amber.engine.common.client.AmberClient import edu.uci.ics.amber.engine.common.virtualidentity.OperatorIdentity diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/web/service/ExecutionStatsService.scala b/core/amber/src/main/scala/edu/uci/ics/texera/web/service/ExecutionStatsService.scala index b6da0f7da51..de06103c7bf 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/web/service/ExecutionStatsService.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/web/service/ExecutionStatsService.scala @@ -5,13 +5,13 @@ import com.typesafe.scalalogging.LazyLogging import edu.uci.ics.amber.engine.architecture.controller.Controller.WorkflowRecoveryStatus import edu.uci.ics.amber.engine.architecture.controller.ControllerEvent.{ ExecutionStatsUpdate, + FatalError, WorkerAssignmentUpdate } -import edu.uci.ics.amber.engine.architecture.controller.promisehandlers.FatalErrorHandler.FatalError import edu.uci.ics.amber.engine.architecture.worker.statistics.PortTupleCountMapping -import edu.uci.ics.amber.engine.common.{AmberConfig, VirtualIdentityUtils} +import edu.uci.ics.amber.engine.common.AmberConfig import edu.uci.ics.amber.engine.common.client.AmberClient -import edu.uci.ics.amber.error.ErrorUtils.getStackTraceWithAllCauses +import edu.uci.ics.amber.error.ErrorUtils.{getOperatorFromActorIdOpt, getStackTraceWithAllCauses} import edu.uci.ics.texera.Utils import edu.uci.ics.texera.Utils.maptoStatusCode import edu.uci.ics.texera.web.model.jooq.generated.tables.pojos.WorkflowRuntimeStatistics @@ -268,12 +268,7 @@ class ExecutionStatsService( client .registerCallback[FatalError]((evt: FatalError) => { client.shutdown() - var operatorId = "unknown operator" - var workerId = "" - if (evt.fromActor.isDefined) { - operatorId = VirtualIdentityUtils.getPhysicalOpId(evt.fromActor.get).logicalOpId.id - workerId = evt.fromActor.get.name - } + val (operatorId, workerId) = getOperatorFromActorIdOpt(evt.fromActor) stateStore.statsStore.updateState(stats => stats.withEndTimeStamp(System.currentTimeMillis()) ) diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/web/service/WorkflowService.scala b/core/amber/src/main/scala/edu/uci/ics/texera/web/service/WorkflowService.scala index ad1dc1982f7..714d958c618 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/web/service/WorkflowService.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/web/service/WorkflowService.scala @@ -8,12 +8,13 @@ import edu.uci.ics.amber.engine.architecture.worker.WorkflowWorker.{ StateRestoreConfig } import edu.uci.ics.amber.engine.common.AmberConfig +import edu.uci.ics.amber.engine.common.amberexception.WorkflowRuntimeException import edu.uci.ics.amber.engine.common.virtualidentity.{ ChannelMarkerIdentity, ExecutionIdentity, WorkflowIdentity } -import edu.uci.ics.amber.error.ErrorUtils.getStackTraceWithAllCauses +import edu.uci.ics.amber.error.ErrorUtils.{getOperatorFromActorIdOpt, getStackTraceWithAllCauses} import edu.uci.ics.texera.web.model.websocket.event.TexeraWebSocketEvent import edu.uci.ics.texera.web.model.websocket.request.WorkflowExecuteRequest import edu.uci.ics.texera.web.service.WorkflowService.mkWorkflowStateId @@ -198,6 +199,13 @@ class WorkflowService( ) val errorHandler: Throwable => Unit = { t => { + val fromActorOpt = t match { + case ex: WorkflowRuntimeException => + ex.relatedWorkerId + case other => + None + } + val (operatorId, workerId) = getOperatorFromActorIdOpt(fromActorOpt) logger.error("error during execution", t) executionStateStore.statsStore.updateState(stats => stats.withEndTimeStamp(System.currentTimeMillis()) @@ -209,7 +217,8 @@ class WorkflowService( Timestamp(Instant.now), t.toString, getStackTraceWithAllCauses(t), - "unknown operator" + operatorId, + workerId ) ) } diff --git a/core/amber/src/test/scala/edu/uci/ics/amber/engine/e2e/DataProcessingSpec.scala b/core/amber/src/test/scala/edu/uci/ics/amber/engine/e2e/DataProcessingSpec.scala index 9cd741b3990..6bdb8865a54 100644 --- a/core/amber/src/test/scala/edu/uci/ics/amber/engine/e2e/DataProcessingSpec.scala +++ b/core/amber/src/test/scala/edu/uci/ics/amber/engine/e2e/DataProcessingSpec.scala @@ -6,9 +6,11 @@ import akka.util.Timeout import ch.vorburger.mariadb4j.DB import com.twitter.util.{Await, Duration, Promise} import edu.uci.ics.amber.clustering.SingleNodeListener -import edu.uci.ics.amber.engine.architecture.controller.ControllerEvent.ExecutionStateUpdate +import edu.uci.ics.amber.engine.architecture.controller.ControllerEvent.{ + ExecutionStateUpdate, + FatalError +} import edu.uci.ics.amber.engine.architecture.controller._ -import edu.uci.ics.amber.engine.architecture.controller.promisehandlers.FatalErrorHandler.FatalError import edu.uci.ics.amber.engine.architecture.controller.promisehandlers.StartWorkflowHandler.StartWorkflow import edu.uci.ics.amber.engine.common.client.AmberClient import edu.uci.ics.amber.engine.common.virtualidentity.OperatorIdentity From 7815b0fa031c8f1a4f1e6640202c3fcc1ac04b13 Mon Sep 17 00:00:00 2001 From: Jiadong Bai <43344272+bobbai00@users.noreply.github.com> Date: Fri, 17 May 2024 15:27:28 -0700 Subject: [PATCH 40/44] Add FileDocument and PartitionDocument (#2659) This PR introduces two classes: `FileDocument` and `PartitionDocument` - `FileDocument`: represent a file residing in the filesystem, implemented based on `apache.vfs` - `PartitionDocument`: represent a file that contains multiple partitions. Each partition is represented using `FileDocument`. It supports APIs for `Iterator[FileDocument]` and retrieve `FileDocument` by index. --- .../engine/common/storage/FileDocument.scala | 111 +++++++++++++ .../storage/partition/PartitionDocument.scala | 77 +++++++++ .../common/storage/FileDocumentSpec.scala | 153 ++++++++++++++++++ .../partition/PartitionDocumentSpec.scala | 71 ++++++++ 4 files changed, 412 insertions(+) create mode 100644 core/amber/src/main/scala/edu/uci/ics/amber/engine/common/storage/FileDocument.scala create mode 100644 core/amber/src/main/scala/edu/uci/ics/amber/engine/common/storage/partition/PartitionDocument.scala create mode 100644 core/amber/src/test/scala/edu/uci/ics/texera/workflow/common/storage/FileDocumentSpec.scala create mode 100644 core/amber/src/test/scala/edu/uci/ics/texera/workflow/common/storage/partition/PartitionDocumentSpec.scala diff --git a/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/storage/FileDocument.scala b/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/storage/FileDocument.scala new file mode 100644 index 00000000000..61585461697 --- /dev/null +++ b/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/storage/FileDocument.scala @@ -0,0 +1,111 @@ +package edu.uci.ics.amber.engine.common.storage +import org.apache.commons.vfs2.{FileObject, VFS} + +import java.io.{InputStream, OutputStreamWriter} +import java.net.URI +import java.util.concurrent.locks.ReentrantReadWriteLock + +/** + * FileDocument provides methods to read/write a file located on filesystem. + * All methods are THREAD-SAFE implemented using read-write lock: + * - 1 writer at a time: only 1 thread of current JVM can acquire the write lock + * - n reader at a time: multiple threads of current JVM can acquire the read lock + * @param uri the identifier of the file. If file doesn't physically exist, FileDocument will create the file during the constructing phase. + */ +class FileDocument(val uri: URI) extends VirtualDocument[String] { + val file: FileObject = VFS.getManager.resolveFile(uri.toString) + val lock = new ReentrantReadWriteLock() + + // Utility function to wrap code block with read lock + private def withReadLock[T](block: => T): T = { + lock.readLock().lock() + try { + block + } finally { + lock.readLock().unlock() + } + } + + // Utility function to wrap code block with write lock + private def withWriteLock(block: => Unit): Unit = { + lock.writeLock().lock() + try { + block + } finally { + lock.writeLock().unlock() + } + } + + // Check and create the file if it does not exist + withWriteLock { + if (!file.exists()) { + val parentDir = file.getParent + if (parentDir != null && !parentDir.exists()) { + parentDir.createFolder() // Create all necessary parent directories + } + file.createFile() // Create the file if it does not exist + } + } + + /** + * Append the content in the inputStream to the FileDocument. This method is THREAD-SAFE + * @param inputStream the data source input stream + */ + override def write(inputStream: InputStream): Unit = + withWriteLock { + val outStream = file.getContent.getOutputStream(true) + try { + // create a buffer for reading from inputStream + val buffer = new Array[Byte](1024) + // create an Iterator to repeatedly call inputStream.read, and direct buffered data to file + Iterator + .continually(inputStream.read(buffer)) + .takeWhile(_ != -1) + .foreach(outStream.write(buffer, 0, _)) + } finally { + outStream.close() + } + } + + /** + * Append the content in the given string to the FileDocument. This method is THREAD-SAFE + * @param item the content to append + */ + override def setItem(item: String): Unit = + withWriteLock { + val outStream = file.getContent.getOutputStream(true) + val writer = new OutputStreamWriter(outStream) + try { + writer.write(item) + writer.flush() + } finally { + writer.close() + outStream.close() + } + } + + /** + * Read content in the file document as the InputStream. This method is THREAD-SAFE + * @return the input stream of content in the FileDocument. Due to the constraint of getInputStream, there may be only 1 input/output stream at any time + */ + override def asInputStream(): InputStream = + withReadLock { + if (!file.exists()) { + throw new RuntimeException(f"File $uri doesn't exist") + } + file.getContent.getInputStream + } + + override def getURI: URI = uri + + /** + * Physically remove the file specified by the URI. This method is THREAD-SAFE + */ + override def remove(): Unit = + withWriteLock { + if (!file.exists()) { + throw new RuntimeException(f"File $uri doesn't exist") + } + file.delete() + } +} diff --git a/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/storage/partition/PartitionDocument.scala b/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/storage/partition/PartitionDocument.scala new file mode 100644 index 00000000000..acb17c22459 --- /dev/null +++ b/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/storage/partition/PartitionDocument.scala @@ -0,0 +1,77 @@ +package edu.uci.ics.amber.engine.common.storage.partition + +import edu.uci.ics.amber.engine.common.storage.{FileDocument, VirtualDocument} + +import java.net.URI + +/** + * PartitionDocument is a storage object that consists #numOfPartition physical files as its underlying data storage. + * Each underlying file's URI is in the format of {partitionDocumentURI}_{index}. + * + * PartitionDocument only support getting the FileDocument that corresponds to the single partition either by index or by iterator. + * To write over the partition, you should get the FileDocument first, then call write-related methods over it. FileDocument guarantees the thread-safe read/write. + * + * @param uri the id of this partition document. Note that this URI does not physically corresponds to a file. + * @param numOfPartition number of partitions + */ +class PartitionDocument(val uri: URI, val numOfPartition: Int) + extends VirtualDocument[FileDocument] { + + /** + * Utility functions to generate the partition URI by index + * @param i index of the partition + * @return the URI of the partition + */ + private def getPartitionURI(i: Int): URI = { + if (i < 0 || i >= numOfPartition) { + throw new RuntimeException(f"Index $i out of bound") + } + new URI(s"${uri}_$i") + } + + override def getURI: URI = + throw new RuntimeException( + "Partition Document doesn't physically exist. It is invalid to acquire its URI" + ) + + /** + * Get the partition by index i. + * This method is THREAD-UNSAFE, as multiple threads can get any partition by index. But the returned FileDocument is thread-safe + * @param i index starting from 0 + * @return FileDocument corresponds to the certain partition + */ + override def getItem(i: Int): FileDocument = { + new FileDocument(getPartitionURI(i)) + } + + /** + * Get the iterator of partitions. + * This method is THREAD-UNSAFE, as multiple threads can get the iterator and loop through all partitions. But the returned FileDocument is thread-safe + * @return an iterator that return the FileDocument corresponds to the certain partition + */ + override def get(): Iterator[FileDocument] = + new Iterator[FileDocument] { + private var i: Int = 0 + + override def hasNext: Boolean = i < numOfPartition + + override def next(): FileDocument = { + if (!hasNext) { + throw new NoSuchElementException("No more partitions") + } + val document = new FileDocument(getPartitionURI(i)) + i += 1 + document + } + } + + /** + * Remove all partitions. + * This method is THREAD-UNSAFE. But FileDocument's remove is thread-safe + */ + override def remove(): Unit = { + for (i <- 0 until numOfPartition) { + getItem(i).remove() + } + } +} diff --git a/core/amber/src/test/scala/edu/uci/ics/texera/workflow/common/storage/FileDocumentSpec.scala b/core/amber/src/test/scala/edu/uci/ics/texera/workflow/common/storage/FileDocumentSpec.scala new file mode 100644 index 00000000000..11c9d3528e4 --- /dev/null +++ b/core/amber/src/test/scala/edu/uci/ics/texera/workflow/common/storage/FileDocumentSpec.scala @@ -0,0 +1,153 @@ +package edu.uci.ics.texera.workflow.common.storage + +import edu.uci.ics.amber.engine.common.storage.FileDocument + +import java.net.URI +import java.nio.file.{Files, Paths} +import org.scalatest.flatspec.AnyFlatSpec +import org.scalatest.BeforeAndAfter +import org.scalatest.concurrent.ScalaFutures.convertScalaFuture +import org.scalatest.matchers.should.Matchers + +import java.io.{ByteArrayInputStream, ByteArrayOutputStream, InputStream} +import scala.concurrent.ExecutionContext.Implicits.global +import scala.concurrent.Future +import scala.util.Using + +class FileDocumentSpec extends AnyFlatSpec with Matchers with BeforeAndAfter { + + var tempFileURI: URI = _ + var fileDocument: FileDocument = _ + + val initialContent = "Initial Content" + val newContent = "New Content" + before { + // Generate a path for a temporary file without actually creating the file + val tempPath = Files.createTempFile("", "") + tempFileURI = tempPath.toUri + fileDocument = new FileDocument(tempFileURI) + + val contentStream = new ByteArrayInputStream(initialContent.getBytes) + // Write initial content to file + fileDocument.write(contentStream) + contentStream.close() + } + + after { + // Delete the temporary file + Files.deleteIfExists(Paths.get(tempFileURI)) + } + + private def readAllBytes(inputStream: InputStream): Array[Byte] = { + val buffer = new ByteArrayOutputStream() + val data = new Array[Byte](1024) + var nRead = 0 + while ({ + nRead = inputStream.read(data, 0, data.length) + nRead != -1 + }) { + buffer.write(data, 0, nRead) + } + buffer.flush() + buffer.toByteArray + } + + "FileDocument" should "correctly report its URI" in { + fileDocument.getURI should be(tempFileURI) + } + + it should "allow reading from the file" in { + val content = Using(fileDocument.asInputStream()) { inStream => + new String(readAllBytes(inStream)) + }.getOrElse(fail("Failed to read from the file")) + + content should equal(initialContent) + } + + it should "allow writing to the file" in { + fileDocument.setItem(newContent) + + // Read back the content + val content = Using(fileDocument.asInputStream()) { inStream => + new String(readAllBytes(inStream)) + }.getOrElse(fail("Failed to read from the FileDocument")) + + content should be(initialContent + newContent) + } + + it should "remove the file successfully" in { + // Remove the file using FileDocument's remove method + fileDocument.remove() + Files.exists(Paths.get(tempFileURI)) should be(false) + } + + it should "handle concurrent writes safely" in { + val numberOfThreads = 10 + val futures = (1 to numberOfThreads).map { _ => + Future { + val contentStream = new ByteArrayInputStream(s"Content from thread".getBytes) + // multiple document of the same URI try to do write here + new FileDocument(tempFileURI).write(contentStream) + } + } + Future + .sequence(futures) + .map { _ => + val content = Using(fileDocument.asInputStream()) { inStream => + new String(readAllBytes(inStream)) + }.getOrElse(fail("Failed to read from the FileDocument")) + content should include("Content from thread") + } + .futureValue + } + + it should "handle concurrent reads and writes safely" in { + Future { + val contentStream = new ByteArrayInputStream(newContent.getBytes) + fileDocument.write(contentStream) + } + + val readers: Seq[Future[String]] = (1 to 5).map { _ => + Future { + Using(fileDocument.asInputStream()) { inStream => + new String(readAllBytes(inStream)) + }.getOrElse(fail("Failed to read from the FileDocument")) + } + } + + Future + .sequence(readers) + .map { results => + results.foreach { result => + result should be(initialContent + newContent) + } + } + .futureValue + } + + it should "handle multiple remove calls gracefully" in { + // Remove the file for the first time + fileDocument.remove() + Files.exists(Paths.get(tempFileURI)) should be(false) + + // Attempt to remove the file again and catch the exception + val exception = intercept[RuntimeException] { + fileDocument.remove() + } + + exception.getMessage should include(s"File $tempFileURI doesn't exist") + } + + it should "correctly write and read a large amount of data" in { + // Generate a large string of 20,000 characters + val largeContent = "A" * 20000 + fileDocument.setItem(largeContent) + + // Read back the content + val content = Using(fileDocument.asInputStream()) { inStream => + new String(readAllBytes(inStream)) + }.getOrElse(fail("Failed to read from the FileDocument")) + + content should be(initialContent + largeContent) + } +} diff --git a/core/amber/src/test/scala/edu/uci/ics/texera/workflow/common/storage/partition/PartitionDocumentSpec.scala b/core/amber/src/test/scala/edu/uci/ics/texera/workflow/common/storage/partition/PartitionDocumentSpec.scala new file mode 100644 index 00000000000..d02a9e3e1ee --- /dev/null +++ b/core/amber/src/test/scala/edu/uci/ics/texera/workflow/common/storage/partition/PartitionDocumentSpec.scala @@ -0,0 +1,71 @@ +package edu.uci.ics.texera.workflow.common.storage.partition + +import edu.uci.ics.amber.engine.common.storage.partition.PartitionDocument + +import java.net.URI +import java.nio.file.{Files, Path, Paths} +import org.scalatest.flatspec.AnyFlatSpec +import org.scalatest.BeforeAndAfter +import org.scalatest.matchers.should.Matchers + +import java.io.{ByteArrayOutputStream, InputStream} +import scala.util.Using + +class PartitionDocumentSpec extends AnyFlatSpec with Matchers with BeforeAndAfter { + + var baseTempURI: Path = _ + var partitionDocument: PartitionDocument = _ + val numOfPartitions: Int = 5 + + private def readAllBytes(inputStream: InputStream): Array[Byte] = { + val buffer = new ByteArrayOutputStream() + val data = new Array[Byte](1024) + var nRead = 0 + while ({ + nRead = inputStream.read(data, 0, data.length) + nRead != -1 + }) { + buffer.write(data, 0, nRead) + } + buffer.flush() + buffer.toByteArray + } + + before { + // Create a temporary directory for the base URI + baseTempURI = Files.createTempDirectory("partitionTest").resolve("partitionDoc") + partitionDocument = new PartitionDocument(baseTempURI.toUri, numOfPartitions) + } + + after { + // Clean up: remove all files and the directory + partitionDocument.remove() + } + + "PartitionDocument" should "write and read content correctly for each partition" in { + // Write to each partition + val iterator = partitionDocument.get() + var i = 0 + while (iterator.hasNext) { + iterator.next().setItem(s"Content for partition $i") + i += 1 + } + + // Verify each partition's content + for (i <- 0 until numOfPartitions) { + val doc = partitionDocument.getItem(i) + val content = Using(doc.asInputStream()) { inStream => + new String(readAllBytes(inStream)) + }.getOrElse(fail("Failed to read from the partition")) + content should be(s"Content for partition $i") + } + } + + it should "remove all partitions successfully" in { + partitionDocument.remove() + for (i <- 0 until numOfPartitions) { + val uri = new URI(s"${baseTempURI.toUri}_$i") + Files.exists(Paths.get(uri)) should be(false) + } + } +} From cf5a50959e92552afe0fddf34becfdbfbb906800 Mon Sep 17 00:00:00 2001 From: Kevin Wu <94423044+SaltDonkey@users.noreply.github.com> Date: Sun, 19 May 2024 00:21:17 -0700 Subject: [PATCH 41/44] Add R Source UDF and R UDF (Table API) to Texera (#2644) This PR is for the official inclusion of an R UDF and R Source UDF into Texera that can support R code in Texera workflows and can support Texera's Table API. Tuple API is currently not supported for R UDF. -------------- # Software versions required/supported: Python - 3.9.18 rpy2 (Python pacakge) - 3.5.11 rpy2-arrow (Python package) - 0.0.8 R - 4.3.3 reticulate (R package) - 1.36.1 arrow (R package) - 14.0.01 -------------- # Use cases/user requirements: - First the user must make sure that their Python and R versions are configured in the udf.conf file located at [/core/amber/src/main/resources/udf.conf](https://github.com/Texera/texera/pull/2644/commits/c8e35e9ee5fb360358797108bb24297567eb7d4a) - To use the R Source UDF: - This should be used when the user wishes to write R code to provide source data to any pipeline that use R UDFs. - The user does not need any input. The output in the R-UDF must be an R object that can be easily converted to a data.frame, more specifically, such that they can produce tuples. - When the operator is finished, the output is an Arrow Table - To use the R UDF: - This should be used when the user wishes to receive some input data, read and modify it and then return either different data or the same input data. - The user should expect an input of both a Table and a port - Currently the port argument is unused, although this may be used in the future - When the operator is finished, the output is an Arrow Table with any modifications/accesses from the R-UDF. ------------- # Showcase: ![](https://media.giphy.com/media/v1.Y2lkPTc5MGI3NjExeThyaDM3NDV2amthaGZ0aGgzOWhybDhnaGhjZDlxYXUwNTFtcHBtdyZlcD12MV9pbnRlcm5hbF9naWZfYnlfaWQmY3Q9Zw/EKampxbueDk7UM5U83/giphy.gif) ![](https://media.giphy.com/media/v1.Y2lkPTc5MGI3NjExOTFmOXRwd2F1OXNwNW1hNHB5MHBtN3VjYnI4cjd6ZWpicWNlazI5biZlcD12MV9pbnRlcm5hbF9naWZfYnlfaWQmY3Q9Zw/Gf9QtXcSTMvQNQ3Tqd/giphy.gif) --------- Co-authored-by: Yicong Huang <17627829+Yicong-Huang@users.noreply.github.com> --- .github/workflows/github-action-build.yml | 10 + core/amber/requirements.txt | 4 +- .../architecture/worker/controlcommands.proto | 3 +- .../control/initialize_executor_handler.py | 4 +- .../architecture/managers/executor_manager.py | 23 +- .../main/python/core/models/RTableExecutor.py | 114 ++++ .../python/core/models/test_RTableExecutor.py | 521 ++++++++++++++++++ .../engine/architecture/worker/__init__.py | 3 +- .../main/python/texera_run_python_worker.py | 8 +- .../resources/{python_udf.conf => udf.conf} | 5 + .../promisehandlers/ModifyLogicHandler.scala | 2 +- .../deploysemantics/PhysicalOp.scala | 6 +- .../pythonworker/PythonWorkflowWorker.scala | 7 +- .../ControlCommandConvertUtils.scala | 4 +- .../metadata/OperatorGroupConstants.scala | 1 + .../workflow/common/operators/LogicalOp.scala | 4 + .../workflow/operators/udf/r/RUDFOpDesc.scala | 170 ++++++ .../operators/udf/r/RUDFSourceOpDesc.java | 116 ++++ .../controlcommands/ControlCommandV2.scala | 42 +- .../ControlcommandsProto.scala | 99 ++-- .../code-editor.component.ts | 17 +- .../workflow-graph/model/workflow-graph.ts | 3 + core/gui/src/assets/operator_images/RUDF.png | Bin 0 -> 10458 bytes .../src/assets/operator_images/RUDFSource.png | Bin 0 -> 10458 bytes 24 files changed, 1092 insertions(+), 74 deletions(-) create mode 100644 core/amber/src/main/python/core/models/RTableExecutor.py create mode 100644 core/amber/src/main/python/core/models/test_RTableExecutor.py rename core/amber/src/main/resources/{python_udf.conf => udf.conf} (90%) create mode 100644 core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/r/RUDFOpDesc.scala create mode 100644 core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/r/RUDFSourceOpDesc.java create mode 100644 core/gui/src/assets/operator_images/RUDF.png create mode 100644 core/gui/src/assets/operator_images/RUDFSource.png diff --git a/.github/workflows/github-action-build.yml b/.github/workflows/github-action-build.yml index 47ce71a1f24..df26b412cc6 100644 --- a/.github/workflows/github-action-build.yml +++ b/.github/workflows/github-action-build.yml @@ -91,6 +91,16 @@ jobs: steps: - name: Checkout Texera uses: actions/checkout@v2 + - name: Set up R for R-UDF + uses: r-lib/actions/setup-r@v2 + with: + r-version: '4.3.3' + - name: Install R dependencies for R-UDF + run: | + Rscript -e 'install.packages("dplyr", repos = "http://cran.rstudio.com/")' + Rscript -e 'install.packages("arrow", version = "14.0.0.1", repos = "http://cran.rstudio.com/")' + Rscript -e 'install.packages("reticulate", version = "1.36.1", repos = "http://cran.rstudio.com/")' + - name: Set up Python ${{ matrix.python-version }} uses: actions/setup-python@v2 with: diff --git a/core/amber/requirements.txt b/core/amber/requirements.txt index 05094ee5be2..a07f0753371 100644 --- a/core/amber/requirements.txt +++ b/core/amber/requirements.txt @@ -25,4 +25,6 @@ python-lsp-server[websockets] bidict==0.22.0 cached_property psutil -transformers \ No newline at end of file +transformers +rpy2==3.5.11 +rpy2-arrow==0.0.8 \ No newline at end of file diff --git a/core/amber/src/main/protobuf/edu/uci/ics/amber/engine/architecture/worker/controlcommands.proto b/core/amber/src/main/protobuf/edu/uci/ics/amber/engine/architecture/worker/controlcommands.proto index 634779cf2ef..a39c269bd79 100644 --- a/core/amber/src/main/protobuf/edu/uci/ics/amber/engine/architecture/worker/controlcommands.proto +++ b/core/amber/src/main/protobuf/edu/uci/ics/amber/engine/architecture/worker/controlcommands.proto @@ -60,7 +60,8 @@ message LinkOrdinal { message InitializeExecutorV2 { string code = 1; - bool is_source = 2; + string language = 2; + bool is_source = 3; } message UpdateExecutorV2 { diff --git a/core/amber/src/main/python/core/architecture/handlers/control/initialize_executor_handler.py b/core/amber/src/main/python/core/architecture/handlers/control/initialize_executor_handler.py index 5ef7a22a0c0..72626dc216f 100644 --- a/core/amber/src/main/python/core/architecture/handlers/control/initialize_executor_handler.py +++ b/core/amber/src/main/python/core/architecture/handlers/control/initialize_executor_handler.py @@ -7,5 +7,7 @@ class InitializeExecutorHandler(ControlHandler): cmd = InitializeExecutorV2 def __call__(self, context: Context, command: cmd, *args, **kwargs): - context.executor_manager.initialize_executor(command.code, command.is_source) + context.executor_manager.initialize_executor( + command.code, command.is_source, command.language + ) return None diff --git a/core/amber/src/main/python/core/architecture/managers/executor_manager.py b/core/amber/src/main/python/core/architecture/managers/executor_manager.py index fe055bd79cd..9fbb8263019 100644 --- a/core/amber/src/main/python/core/architecture/managers/executor_manager.py +++ b/core/amber/src/main/python/core/architecture/managers/executor_manager.py @@ -105,20 +105,33 @@ def is_concrete_operator(cls: type) -> bool: and not inspect.isabstract(cls) ) - def initialize_executor(self, code: str, is_source: bool) -> None: + def initialize_executor(self, code: str, is_source: bool, language: str) -> None: """ Initialize the executor with the given code. The output schema is decided by the user. - :param code: The string version of python code, containing one Operator + :param code: The string version of the code, containing one Operator class declaration. :param is_source: Indicating if the operator is used as a source operator. + :param language: The language of the operator code. :param output_schema: the raw mapping of output schema, name -> type_str. :return: """ - executor: type(Operator) = self.load_executor_definition(code) - self.executor = executor() - self.executor.is_source = is_source + if language == "r": + # Have to import it here and not at the top in case R_HOME from udf.conf + # is not defined, otherwise an error will occur + # If R_HOME is not defined and rpy2 cannot find the + # R_HOME environment variable, an error will occur here + from core.models.RTableExecutor import RTableSourceExecutor, RTableExecutor + + if is_source: + self.executor = RTableSourceExecutor(code) + else: + self.executor = RTableExecutor(code) + else: + executor: type(Operator) = self.load_executor_definition(code) + self.executor = executor() + self.executor.is_source = is_source assert ( isinstance(self.executor, SourceOperator) == self.executor.is_source ), "Please use SourceOperator API for source operators." diff --git a/core/amber/src/main/python/core/models/RTableExecutor.py b/core/amber/src/main/python/core/models/RTableExecutor.py new file mode 100644 index 00000000000..f358f1c061a --- /dev/null +++ b/core/amber/src/main/python/core/models/RTableExecutor.py @@ -0,0 +1,114 @@ +import pyarrow as pa +import rpy2.robjects as robjects +from rpy2_arrow.arrow import rarrow_to_py_table, converter as arrow_converter +from rpy2.robjects import default_converter +from rpy2.robjects.conversion import localconverter as local_converter +import typing +from typing import Iterator, Optional, Union +from core.models import ArrowTableTupleProvider, Tuple, TupleLike, Table, TableLike +from core.models.operator import SourceOperator, TableOperator + + +class RTableExecutor(TableOperator): + """ + An executor that can execute R code on Arrow tables. + """ + + is_source = False + + _arrow_to_r_dataframe = robjects.r( + "function(table) { return (as.data.frame(table)) }" + ) + + _r_dataframe_to_arrow = robjects.r( + """ + library(arrow) + function(df) { return (arrow::as_arrow_table(df)) } + """ + ) + + def __init__(self, r_code: str): + """ + Initialize the RTableExecutor with R code. + + Args: + r_code (str): R code to be executed. + """ + super().__init__() + with local_converter(default_converter): + self._func: typing.Callable[[pa.Table], pa.Table] = robjects.r(r_code) + + def process_table(self, table: Table, port: int) -> Iterator[Optional[TableLike]]: + """ + Process an input Table using the provided R function. + The Table is represented as a pandas.DataFrame. + + :param table: Table, a table to be processed. + :param port: int, input port index of the current Tuple. + Currently unused in R-UDF + :return: Iterator[Optional[TableLike]], producing one TableLike object at a + time, or None. + """ + input_pyarrow_table = pa.Table.from_pandas(table) + with local_converter(arrow_converter): + input_r_dataframe = RTableExecutor._arrow_to_r_dataframe( + input_pyarrow_table + ) + output_r_dataframe = self._func(input_r_dataframe, port) + output_rarrow_table = RTableExecutor._r_dataframe_to_arrow( + output_r_dataframe + ) + output_pyarrow_table = rarrow_to_py_table(output_rarrow_table) + + for field_accessor in ArrowTableTupleProvider(output_pyarrow_table): + yield Tuple( + {name: field_accessor for name in output_pyarrow_table.column_names} + ) + + +class RTableSourceExecutor(SourceOperator): + """ + A source operator that produces an R Table or Table-like object using R code. + """ + + is_source = True + _source_output_to_arrow = robjects.r( + """ + library(arrow) + function(source_output) { + return (arrow::as_arrow_table(as.data.frame(source_output))) + } + """ + ) + + def __init__(self, r_code: str): + """ + Initialize the RTableSourceExecutor with R code. + + Args: + r_code (str): R code to be executed. + """ + super().__init__() + # Use the local converter from rpy2 to load in the R function given by the user + with local_converter(default_converter): + self._func = robjects.r(r_code) + + def produce(self) -> Iterator[Union[TupleLike, TableLike, None]]: + """ + Produce Table using the provided R function. + Used by the source operator only. + + :return: Iterator[Union[TupleLike, TableLike, None]], producing + one TupleLike object, one TableLike object, or None, at a time. + """ + with local_converter(arrow_converter): + output_table = self._func() + output_rarrow_table = RTableSourceExecutor._source_output_to_arrow( + output_table + ) + output_pyarrow_table = rarrow_to_py_table(output_rarrow_table) + + for field_accessor in ArrowTableTupleProvider(output_pyarrow_table): + yield Tuple( + {name: field_accessor for name in output_pyarrow_table.column_names} + ) diff --git a/core/amber/src/main/python/core/models/test_RTableExecutor.py b/core/amber/src/main/python/core/models/test_RTableExecutor.py new file mode 100644 index 00000000000..ba1a6c413ea --- /dev/null +++ b/core/amber/src/main/python/core/models/test_RTableExecutor.py @@ -0,0 +1,521 @@ +import pandas +import pytest +import rpy2.rinterface_lib.embedded +from core.models import Tuple, Table +from core.models.RTableExecutor import RTableSourceExecutor, RTableExecutor + + +class TestRTableExecutor: + @pytest.fixture + def source_executor_empty(self): + return """ + function() { + df <- data.frame( + col1 = character(), + col2 = numeric(), + col3 = logical() + ) + return (df) + } + """ + + @pytest.fixture + def source_executor_NA(self): + # This should work with no issues + # since you can store NA in a data.frame + # and then convert the data.frame to Arrow Table with + # one Tuple with value Tuple({"source_output": None}) + return """ + function() { + return (NA) + } + """ + + @pytest.fixture + def udf_executor_return_NA(self): + # This should fail since the conversion back + # to Arrow will be impossible + return """ + function(table, port) { + return (NA) + } + """ + + @pytest.fixture + def udf_executor_simple_return(self): + return """ + function(table, port) { + return (table) + } + """ + + @pytest.fixture + def udf_executor_empty_add_row(self): + return """ + function(table, port) { + new_row <- data.frame( + col1 = "TEST", + col2 = 12.3, + col3 = TRUE + ) + table <- rbind(table, new_row) + return (table) + } + """ + + @pytest.fixture + def source_executor_null_values(self): + return """ + function() { + df <- data.frame( + col1 = character(), + col2 = numeric(), + col3 = logical() + ) + df[1:3,] <- NA + return (df) + } + """ + + @pytest.fixture + def udf_executor_null_values_return(self): + return """ + function(table, port) { + return (table) + } + """ + + @pytest.fixture + def udf_executor_null_values_add_row(self): + return """ + function(table, port) { + new_row <- data.frame( + col1 = NA, + col2 = NA, + col3 = NA + ) + table <- rbind(table, new_row) + return (table) + } + """ + + @pytest.fixture + def target_tuples_null_values(self): + tuple_1 = Tuple({"col1": None, "col2": None, "col3": None}) + tuple_2 = Tuple({"col1": None, "col2": None, "col3": None}) + tuple_3 = Tuple({"col1": None, "col2": None, "col3": None}) + return [tuple_1, tuple_2, tuple_3] + + @pytest.fixture + def pandas_target_df_simple(self): + data = { + "Name": ["Alice", "Bob", "Charlie"], + "Age": [25, 30, 35], + "City": ["New York", "Los Angeles", "Chicago"], + } + df = pandas.DataFrame(data) + return df + + @pytest.fixture + def target_tuples_simple(self, pandas_target_df_simple): + tuples = [] + for index, row in pandas_target_df_simple.iterrows(): + tuples.append(Tuple(row)) + return tuples + + @pytest.fixture + def source_executor_simple(self): + return """ + function() { + df <- data.frame( + Name = c("Alice", "Bob", "Charlie"), + Age = c(25, 30, 35), + City = c("New York", "Los Angeles", "Chicago") + ) + return (df) + } + """ + + @pytest.fixture + def udf_executor_simple_extract_row(self): + return """ + function(table, port) { + bob_row <- table[table$Name == "Bob", ] + return (bob_row) + } + """ + + @pytest.fixture + def udf_executor_simple_update_row(self): + return """ + function(table, port) { + table[table$Name == "Bob", "Age"] <- 18 + return (table) + } + """ + + @pytest.fixture + def udf_executor_simple_add_row(self): + return """ + function(table, port) { + new_row <- list(Name = "Test", Age = 0, City = "Irvine") + new_df <- rbind(table, new_row) + return (new_df) + } + """ + + @pytest.fixture + def source_executor_df_fail(self): + # This Source UDF should raise a TypeError since it cannot + # be converted into a Table-like object + return """ + function() { + glm_model <- glm(mpg ~ wt, data = mtcars, family = gaussian) + return (glm_model) + } + """ + + @pytest.fixture + def target_tuples_like_type(self): + tuple_1 = Tuple({"C.1": 1, "C.2": 2, "C.3": 3}) + tuple_2 = Tuple({"C.1": 11, "C.2": 12, "C.3": 13}) + return [tuple_1, tuple_2] + + @pytest.fixture + def source_executor_df_like_type(self): + return """ + function() { + mdat <- matrix(c(1,2,3, 11,12,13), nrow = 2, ncol = 3, byrow = TRUE, + dimnames = list(c("row1", "row2"), + c("C.1", "C.2", "C.3"))) + return (mdat) + } + """ + + @pytest.fixture + def udf_executor_df_like_type_add_row(self): + return """ + function(table, port) { + # Adding a new row + new_row <- c(4, 5, 6) + table <- rbind(table, new_row) + + return (table) + } + """ + + @pytest.fixture + def udf_executor_df_like_type_add_col(self): + return """ + function(table, port) { + # Adding a new col + new_col <- c("AAA", "BBB") + table <- cbind(table, new_col) + + return (table) + } + """ + + def test_source_executor_empty(self, source_executor_empty): + source_executor = RTableSourceExecutor(source_executor_empty) + output = source_executor.produce() + tuples = [tup for tup in output] + assert len(tuples) == 0 + + output_tbl = Table(tuples) + assert output_tbl == Table([]) + + def test_source_executor_NA(self, source_executor_NA): + source_executor = RTableSourceExecutor(source_executor_NA) + output = source_executor.produce() + tuples = [tup for tup in output] + assert len(tuples) == 1 + + output_tbl = Table(tuples) + assert output_tbl == Table([Tuple({"source_output": None})]) + + def test_udf_executor_return_NA_fail( + self, source_executor_empty, udf_executor_return_NA + ): + source_executor = RTableSourceExecutor(source_executor_empty) + input_tbl = Table([tup for tup in source_executor.produce()]) + + with pytest.raises(rpy2.rinterface_lib.embedded.RRuntimeError) as _: + udf_executor = RTableExecutor(udf_executor_return_NA) + output = udf_executor.process_table(input_tbl, 0) + tuples = [out for out in output] + assert tuples is None + + def test_udf_executor_empty_return( + self, source_executor_empty, udf_executor_simple_return + ): + source_executor = RTableSourceExecutor(source_executor_empty) + input_tbl = Table([tup for tup in source_executor.produce()]) + + udf_executor = RTableExecutor(udf_executor_simple_return) + output = udf_executor.process_table(input_tbl, 0) + + tuples = [tup for tup in output] + assert len(tuples) == 0 + + output_tbl = Table(tuples) + assert output_tbl == Table([]) + assert output_tbl == input_tbl + + def test_udf_executor_empty_add_row( + self, source_executor_empty, udf_executor_empty_add_row + ): + source_executor = RTableSourceExecutor(source_executor_empty) + input_tbl = Table([tup for tup in source_executor.produce()]) + + udf_executor = RTableExecutor(udf_executor_empty_add_row) + output = udf_executor.process_table(input_tbl, 0) + + tuples = [tup for tup in output] + target_tuple = Tuple({"col1": "TEST", "col2": 12.3, "col3": True}) + assert len(tuples) == 1 + + output_tbl = Table(tuples) + assert output_tbl == Table([target_tuple]) + + def test_source_executor_null_values( + self, source_executor_null_values, target_tuples_null_values + ): + source_executor = RTableSourceExecutor(source_executor_null_values) + output = source_executor.produce() + tuples = [tup for tup in output] + assert len(tuples) == 3 + + output_tbl = Table(tuples) + assert output_tbl == Table(target_tuples_null_values) + + def test_udf_executor_null_values_return( + self, + source_executor_null_values, + udf_executor_null_values_return, + target_tuples_null_values, + ): + source_executor = RTableSourceExecutor(source_executor_null_values) + input_tbl = Table([tup for tup in source_executor.produce()]) + + udf_executor = RTableExecutor(udf_executor_null_values_return) + output = udf_executor.process_table(input_tbl, 0) + + tuples = [tup for tup in output] + assert len(tuples) == 3 + + output_tbl = Table(tuples) + assert output_tbl == Table(target_tuples_null_values) + + def test_udf_executor_null_values_add_row( + self, + source_executor_null_values, + udf_executor_null_values_add_row, + target_tuples_null_values, + ): + source_executor = RTableSourceExecutor(source_executor_null_values) + input_tbl = Table([tup for tup in source_executor.produce()]) + + udf_executor = RTableExecutor(udf_executor_null_values_add_row) + output = udf_executor.process_table(input_tbl, 0) + + tuples = [tup for tup in output] + target_tuple = Tuple({"col1": None, "col2": None, "col3": None}) + assert len(tuples) == 4 + assert tuples[3] == target_tuple + + output_tbl = Table(tuples) + assert output_tbl == Table(target_tuples_null_values + [target_tuple]) + + def test_source_executor_simple(self, source_executor_simple, target_tuples_simple): + source_executor = RTableSourceExecutor(source_executor_simple) + output = source_executor.produce() + + tuples = [tup for tup in output] + assert len(tuples) == 3 + + for idx, v in enumerate(tuples): + assert v == target_tuples_simple[idx] + + output_tbl = Table(tuples) + assert output_tbl == Table(target_tuples_simple) + + def test_udf_executor_simple( + self, source_executor_simple, udf_executor_simple_return, target_tuples_simple + ): + source_executor = RTableSourceExecutor(source_executor_simple) + input_tbl = Table([tup for tup in source_executor.produce()]) + + udf_executor = RTableExecutor(udf_executor_simple_return) + output = udf_executor.process_table(input_tbl, 0) + + tuples = [tup for tup in output] + assert len(tuples) == 3 + + for idx, v in enumerate(tuples): + assert v == target_tuples_simple[idx] + + output_tbl = Table(tuples) + assert output_tbl == Table(target_tuples_simple) + assert output_tbl == input_tbl + + def test_udf_executor_simple_extract_row( + self, + source_executor_simple, + udf_executor_simple_extract_row, + target_tuples_simple, + ): + source_executor = RTableSourceExecutor(source_executor_simple) + input_tbl = Table([tup for tup in source_executor.produce()]) + + udf_executor = RTableExecutor(udf_executor_simple_extract_row) + output = udf_executor.process_table(input_tbl, 0) + + tuples = [tup for tup in output] + target_tuple = Tuple({"Name": "Bob", "Age": 30, "City": "Los Angeles"}) + assert len(tuples) == 1 + assert tuples[0] == target_tuple + + output_tbl = Table(tuples) + assert output_tbl == Table([target_tuple]) + + def test_udf_executor_simple_update_row( + self, + source_executor_simple, + udf_executor_simple_update_row, + target_tuples_simple, + ): + source_executor = RTableSourceExecutor(source_executor_simple) + input_tbl = Table([tup for tup in source_executor.produce()]) + + udf_executor = RTableExecutor(udf_executor_simple_update_row) + output = udf_executor.process_table(input_tbl, 0) + + tuples = [tup for tup in output] + target_tuple = Tuple({"Name": "Bob", "Age": 18, "City": "Los Angeles"}) + assert len(tuples) == 3 + + for idx, v in enumerate(tuples): + if idx == 1: + assert v == target_tuple + else: + assert v == target_tuples_simple[idx] + + output_tbl = Table(tuples) + assert output_tbl == Table( + [target_tuples_simple[0], target_tuple, target_tuples_simple[2]] + ) + + def test_udf_executor_simple_add_row( + self, source_executor_simple, udf_executor_simple_add_row, target_tuples_simple + ): + source_executor = RTableSourceExecutor(source_executor_simple) + input_tbl = Table([tup for tup in source_executor.produce()]) + + udf_executor = RTableExecutor(udf_executor_simple_add_row) + output = udf_executor.process_table(input_tbl, 0) + + tuples = [tup for tup in output] + target_tuple = Tuple({"Name": "Test", "Age": 0, "City": "Irvine"}) + assert len(tuples) == 4 + + for idx, v in enumerate(tuples): + if idx == len(tuples) - 1: + assert v == target_tuple + else: + assert v == target_tuples_simple[idx] + + output_tbl = Table(tuples) + assert output_tbl == Table( + [tup for tup in target_tuples_simple] + [target_tuple] + ) + + def test_source_executor_fail(self, source_executor_df_fail): + source_executor = RTableSourceExecutor(source_executor_df_fail) + with pytest.raises(rpy2.rinterface_lib.embedded.RRuntimeError) as _: + output = source_executor.produce() + output = [out for out in output] + + def test_source_executor_df_like_type( + self, source_executor_df_like_type, target_tuples_like_type + ): + source_executor = RTableSourceExecutor(source_executor_df_like_type) + output = source_executor.produce() + + tuples = [tup for tup in output] + assert len(tuples) == 2 + + for idx, v in enumerate(tuples): + assert v == target_tuples_like_type[idx] + + output_tbl = Table(tuples) + assert output_tbl == Table(target_tuples_like_type) + + def test_udf_executor_df_like_type( + self, + source_executor_df_like_type, + udf_executor_simple_return, + target_tuples_like_type, + ): + source_executor = RTableSourceExecutor(source_executor_df_like_type) + input_tbl = Table([tup for tup in source_executor.produce()]) + + udf_executor = RTableExecutor(udf_executor_simple_return) + output = udf_executor.process_table(input_tbl, 0) + + tuples = [tup for tup in output] + assert len(tuples) == 2 + + for idx, v in enumerate(tuples): + assert v == target_tuples_like_type[idx] + + output_tbl = Table(tuples) + assert output_tbl == Table(target_tuples_like_type) + assert output_tbl == input_tbl + + def test_udf_executor_df_like_type_add_row( + self, + source_executor_df_like_type, + udf_executor_df_like_type_add_row, + target_tuples_like_type, + ): + source_executor = RTableSourceExecutor(source_executor_df_like_type) + input_tbl = Table([tup for tup in source_executor.produce()]) + + udf_executor = RTableExecutor(udf_executor_df_like_type_add_row) + output = udf_executor.process_table(input_tbl, 0) + + tuples = [tup for tup in output] + target_tuple = Tuple({"C.1": 4, "C.2": 5, "C.3": 6}) + assert len(tuples) == 3 + + for idx, v in enumerate(tuples): + if idx == len(tuples) - 1: + assert v == target_tuple + else: + assert v == target_tuples_like_type[idx] + + output_tbl = Table(tuples) + assert output_tbl == Table(target_tuples_like_type + [target_tuple]) + + def test_udf_executor_df_like_type_add_col( + self, source_executor_df_like_type, udf_executor_df_like_type_add_col + ): + source_executor = RTableSourceExecutor(source_executor_df_like_type) + input_tbl = Table([tup for tup in source_executor.produce()]) + + udf_executor = RTableExecutor(udf_executor_df_like_type_add_col) + output = udf_executor.process_table(input_tbl, 0) + + tuples = [tup for tup in output] + target_tuples = [ + Tuple({"C.1": 1, "C.2": 2, "C.3": 3, "new_col": "AAA"}), + Tuple({"C.1": 11, "C.2": 12, "C.3": 13, "new_col": "BBB"}), + ] + + assert len(tuples) == 2 + for idx, v in enumerate(tuples): + assert v == target_tuples[idx] + + output_tbl = Table(tuples) + assert output_tbl == Table(target_tuples) diff --git a/core/amber/src/main/python/proto/edu/uci/ics/amber/engine/architecture/worker/__init__.py b/core/amber/src/main/python/proto/edu/uci/ics/amber/engine/architecture/worker/__init__.py index 3182e70eb95..f07d4b28902 100644 --- a/core/amber/src/main/python/proto/edu/uci/ics/amber/engine/architecture/worker/__init__.py +++ b/core/amber/src/main/python/proto/edu/uci/ics/amber/engine/architecture/worker/__init__.py @@ -106,7 +106,8 @@ class LinkOrdinal(betterproto.Message): @dataclass(eq=False, repr=False) class InitializeExecutorV2(betterproto.Message): code: str = betterproto.string_field(1) - is_source: bool = betterproto.bool_field(2) + language: str = betterproto.string_field(2) + is_source: bool = betterproto.bool_field(3) @dataclass(eq=False, repr=False) diff --git a/core/amber/src/main/python/texera_run_python_worker.py b/core/amber/src/main/python/texera_run_python_worker.py index d49f15f92ad..eac23c8d7b4 100644 --- a/core/amber/src/main/python/texera_run_python_worker.py +++ b/core/amber/src/main/python/texera_run_python_worker.py @@ -22,9 +22,15 @@ def init_loguru_logger(stream_log_level) -> None: if __name__ == "__main__": - _, worker_id, output_port, logger_level = sys.argv + _, worker_id, output_port, logger_level, r_path = sys.argv init_loguru_logger(logger_level) + # Setting R_HOME environment variable for R-UDF usage + if r_path: + import os + + os.environ["R_HOME"] = r_path + PythonWorker( worker_id=worker_id, host="localhost", output_port=int(output_port) ).run() diff --git a/core/amber/src/main/resources/python_udf.conf b/core/amber/src/main/resources/udf.conf similarity index 90% rename from core/amber/src/main/resources/python_udf.conf rename to core/amber/src/main/resources/udf.conf index ef69963d27d..d0452fdc594 100644 --- a/core/amber/src/main/resources/python_udf.conf +++ b/core/amber/src/main/resources/udf.conf @@ -20,3 +20,8 @@ python { } } } + +r { + # Path to your R home here (if you want to use R-UDF) + path = "" +} diff --git a/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/controller/promisehandlers/ModifyLogicHandler.scala b/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/controller/promisehandlers/ModifyLogicHandler.scala index c60c9d61830..e6d1ee712ff 100644 --- a/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/controller/promisehandlers/ModifyLogicHandler.scala +++ b/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/controller/promisehandlers/ModifyLogicHandler.scala @@ -30,7 +30,7 @@ trait ModifyLogicHandler { val opExecution = cp.workflowExecution.getRunningRegionExecutions .map(_.getOperatorExecution(msg.newOp.id)) .head - val workerCommand = if (operator.isPythonOperator) { + val workerCommand = if (operator.isPythonBased) { UpdatePythonExecutor( msg.newOp.getPythonCode, isSource = operator.isSourceOperator diff --git a/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/deploysemantics/PhysicalOp.scala b/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/deploysemantics/PhysicalOp.scala index 41531cb01fd..38af9cd6332 100644 --- a/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/deploysemantics/PhysicalOp.scala +++ b/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/deploysemantics/PhysicalOp.scala @@ -214,11 +214,11 @@ case class PhysicalOp( outputPorts.forall(port => port._2._2.isEmpty) } - def isPythonOperator: Boolean = { + def isPythonBased: Boolean = { opExecInitInfo match { case opExecInfo: OpExecInitInfoWithCode => val (_, language) = opExecInfo.codeGen(0, 0) - language == "python" + language == "python" || language == "r" case _ => false } } @@ -530,7 +530,7 @@ case class PhysicalOp( val locationPreference = this.locationPreference.getOrElse(new RoundRobinPreference()) val preferredAddress = locationPreference.getPreferredLocation(addressInfo, this, workerIndex) - val workflowWorker = if (this.isPythonOperator) { + val workflowWorker = if (this.isPythonBased) { PythonWorkflowWorker.props(workerConfig) } else { WorkflowWorker.props( diff --git a/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/pythonworker/PythonWorkflowWorker.scala b/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/pythonworker/PythonWorkflowWorker.scala index bbde7a14b47..caa69e9bf42 100644 --- a/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/pythonworker/PythonWorkflowWorker.scala +++ b/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/pythonworker/PythonWorkflowWorker.scala @@ -43,8 +43,10 @@ class PythonWorkflowWorker( .resolve("src") .resolve("main") .resolve("python") - val config: Config = ConfigFactory.load("python_udf") + val config: Config = ConfigFactory.load("udf") val pythonENVPath: String = config.getString("python.path").trim + val RENVPath: String = config.getString("r.path").trim + // Python process private var pythonServerProcess: Process = _ @@ -151,7 +153,8 @@ class PythonWorkflowWorker( udfEntryScriptPath, workerConfig.workerId.name, Integer.toString(pythonProxyServer.getPortNumber.get()), - config.getString("python.log.streamHandler.level") + config.getString("python.log.streamHandler.level"), + RENVPath ) ).run(BasicIO.standard(false)) } diff --git a/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/worker/controlcommands/ControlCommandConvertUtils.scala b/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/worker/controlcommands/ControlCommandConvertUtils.scala index 41c8fee60c2..c0352215680 100644 --- a/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/worker/controlcommands/ControlCommandConvertUtils.scala +++ b/core/amber/src/main/scala/edu/uci/ics/amber/engine/architecture/worker/controlcommands/ControlCommandConvertUtils.scala @@ -51,8 +51,10 @@ object ControlCommandConvertUtils { case QueryCurrentInputTuple() => QueryCurrentInputTupleV2() case InitializeExecutor(_, opExecInitInfo, isSource) => + val (code, language) = opExecInitInfo.asInstanceOf[OpExecInitInfoWithCode].codeGen(0, 0) InitializeExecutorV2( - opExecInitInfo.asInstanceOf[OpExecInitInfoWithCode].codeGen(0, 0)._1, + code, + language, isSource ) case ReplayCurrentTuple() => diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/metadata/OperatorGroupConstants.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/metadata/OperatorGroupConstants.scala index 49f3ce3aabe..e9e08b91be8 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/metadata/OperatorGroupConstants.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/metadata/OperatorGroupConstants.scala @@ -18,6 +18,7 @@ object OperatorGroupConstants { final val UDF_GROUP = "User-defined Functions" final val PYTHON_GROUP = "Python" final val JAVA_GROUP = "Java" + final val R_GROUP = "R" /** * The order of the groups to show up in the frontend operator panel. diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/operators/LogicalOp.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/operators/LogicalOp.scala index cf0607f4c81..0136d740c8c 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/operators/LogicalOp.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/common/operators/LogicalOp.scala @@ -1,6 +1,7 @@ package edu.uci.ics.texera.workflow.common.operators import com.fasterxml.jackson.annotation.JsonSubTypes.Type + import com.fasterxml.jackson.annotation.{ JsonIgnore, JsonProperty, @@ -102,6 +103,7 @@ import edu.uci.ics.texera.workflow.operators.udf.python.{ PythonTableReducerOpDesc, PythonUDFOpDescV2 } +import edu.uci.ics.texera.workflow.operators.udf.r.{RUDFOpDesc, RUDFSourceOpDesc} import edu.uci.ics.texera.workflow.operators.union.UnionOpDesc import edu.uci.ics.texera.workflow.operators.unneststring.UnnestStringOpDesc import edu.uci.ics.texera.workflow.operators.visualization.boxPlot.BoxPlotOpDesc @@ -215,6 +217,8 @@ trait StateTransferFunc new Type(value = classOf[FunnelPlotOpDesc], name = "FunnelPlot"), new Type(value = classOf[TablesPlotOpDesc], name = "TablesPlot"), new Type(value = classOf[JavaUDFOpDesc], name = "JavaUDF"), + new Type(value = classOf[RUDFOpDesc], name = "RUDF"), + new Type(value = classOf[RUDFSourceOpDesc], name = "RUDFSource"), new Type(value = classOf[SortOpDesc], name = "Sort"), new Type(value = classOf[SklearnLogisticRegressionOpDesc], name = "SklearnLogisticRegression"), new Type( diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/r/RUDFOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/r/RUDFOpDesc.scala new file mode 100644 index 00000000000..951dfeb3a84 --- /dev/null +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/r/RUDFOpDesc.scala @@ -0,0 +1,170 @@ +package edu.uci.ics.texera.workflow.operators.udf.r + +import com.fasterxml.jackson.annotation.{JsonProperty, JsonPropertyDescription} +import com.google.common.base.Preconditions +import com.kjetland.jackson.jsonSchema.annotations.JsonSchemaTitle +import edu.uci.ics.amber.engine.architecture.deploysemantics.layer.OpExecInitInfo +import edu.uci.ics.amber.engine.architecture.deploysemantics.{PhysicalOp, SchemaPropagationFunc} +import edu.uci.ics.amber.engine.common.virtualidentity.{ExecutionIdentity, WorkflowIdentity} +import edu.uci.ics.amber.engine.common.workflow.{InputPort, OutputPort, PortIdentity} +import edu.uci.ics.texera.workflow.common.metadata.{OperatorGroupConstants, OperatorInfo} +import edu.uci.ics.texera.workflow.common.operators.{LogicalOp, PortDescription, StateTransferFunc} +import edu.uci.ics.texera.workflow.common.tuple.schema.{Attribute, Schema} +import edu.uci.ics.texera.workflow.common.workflow.{PartitionInfo, UnknownPartition} + +import scala.util.{Success, Try} + +class RUDFOpDesc extends LogicalOp { + @JsonProperty( + required = true, + defaultValue = + "function(table, port) {\n\n" + + "}" + ) + @JsonSchemaTitle("R UDF Script") + @JsonPropertyDescription("Input your code here") + var code: String = "" + + @JsonProperty(required = true, defaultValue = "1") + @JsonSchemaTitle("Worker count") + @JsonPropertyDescription("Specify how many parallel workers to lunch") + var workers: Int = Int.box(1) + + @JsonProperty(required = true, defaultValue = "true") + @JsonSchemaTitle("Retain input columns") + @JsonPropertyDescription("Keep the original input columns?") + var retainInputColumns: Boolean = Boolean.box(false) + + @JsonProperty + @JsonSchemaTitle("Extra output column(s)") + @JsonPropertyDescription( + "Name of the newly added output columns that the UDF will produce, if any" + ) + var outputColumns: List[Attribute] = List() + + override def getPhysicalOp( + workflowId: WorkflowIdentity, + executionId: ExecutionIdentity + ): PhysicalOp = { + Preconditions.checkArgument(workers >= 1, "Need at least 1 worker.", Array()) + val opInfo = this.operatorInfo + val partitionRequirement: List[Option[PartitionInfo]] = if (inputPorts != null) { + inputPorts.map(p => Option(p.partitionRequirement)) + } else { + opInfo.inputPorts.map(_ => None) + } + + val propagateSchema = (inputSchemas: Map[PortIdentity, Schema]) => { + val inputSchema = inputSchemas(operatorInfo.inputPorts.head.id) + val outputSchemaBuilder = Schema.builder() + // keep the same schema from input + if (retainInputColumns) outputSchemaBuilder.add(inputSchema) + // for any javaUDFType, it can add custom output columns (attributes). + if (outputColumns != null) { + if (retainInputColumns) { // check if columns are duplicated + + for (column <- outputColumns) { + if (inputSchema.containsAttribute(column.getName)) + throw new RuntimeException("Column name " + column.getName + " already exists!") + } + } + outputSchemaBuilder.add(outputColumns).build() + } + Map(operatorInfo.outputPorts.head.id -> outputSchemaBuilder.build()) + } + + if (workers > 1) + PhysicalOp + .oneToOnePhysicalOp( + workflowId, + executionId, + operatorIdentifier, + OpExecInitInfo(code, "r") + ) + .withDerivePartition(_ => UnknownPartition()) + .withInputPorts(operatorInfo.inputPorts) + .withOutputPorts(operatorInfo.outputPorts) + .withPartitionRequirement(partitionRequirement) + .withIsOneToManyOp(true) + .withParallelizable(true) + .withSuggestedWorkerNum(workers) + .withPropagateSchema(SchemaPropagationFunc(propagateSchema)) + else + PhysicalOp + .manyToOnePhysicalOp( + workflowId, + executionId, + operatorIdentifier, + OpExecInitInfo(code, "r") + ) + .withDerivePartition(_ => UnknownPartition()) + .withInputPorts(operatorInfo.inputPorts) + .withOutputPorts(operatorInfo.outputPorts) + .withPartitionRequirement(partitionRequirement) + .withIsOneToManyOp(true) + .withParallelizable(false) + .withPropagateSchema(SchemaPropagationFunc(propagateSchema)) + } + + override def operatorInfo: OperatorInfo = { + val inputPortInfo = if (inputPorts != null) { + inputPorts.zipWithIndex.map { + case (portDesc: PortDescription, idx) => + InputPort( + PortIdentity(idx), + displayName = portDesc.displayName, + allowMultiLinks = portDesc.allowMultiInputs, + dependencies = portDesc.dependencies.map(idx => PortIdentity(idx)) + ) + } + } else { + List(InputPort(PortIdentity(), allowMultiLinks = true)) + } + val outputPortInfo = if (outputPorts != null) { + outputPorts.zipWithIndex.map { + case (portDesc, idx) => OutputPort(PortIdentity(idx), displayName = portDesc.displayName) + } + } else { + List(OutputPort()) + } + + OperatorInfo( + "R UDF", + "User-defined function operator in R script", + OperatorGroupConstants.R_GROUP, + inputPortInfo, + outputPortInfo, + dynamicInputPorts = false, + dynamicOutputPorts = false, + supportReconfiguration = false, + allowPortCustomization = false + ) + } + + override def getOutputSchema(schemas: Array[Schema]): Schema = { + val inputSchema = schemas(0) + val outputSchemaBuilder = Schema.Builder() + // keep the same schema from input + if (retainInputColumns) outputSchemaBuilder.add(inputSchema) + if (outputColumns != null) { + if (retainInputColumns) { // check if columns are duplicated + + for (column <- outputColumns) { + if (inputSchema.containsAttribute(column.getName)) + throw new RuntimeException("Column name " + column.getName + " already exists!") + } + } + outputSchemaBuilder.add(outputColumns) + } + outputSchemaBuilder.build() + } + + override def runtimeReconfiguration( + workflowId: WorkflowIdentity, + executionId: ExecutionIdentity, + oldLogicalOp: LogicalOp, + newLogicalOp: LogicalOp + ): Try[(PhysicalOp, Option[StateTransferFunc])] = { + Success(newLogicalOp.getPhysicalOp(workflowId, executionId), None) + } +} diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/r/RUDFSourceOpDesc.java b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/r/RUDFSourceOpDesc.java new file mode 100644 index 00000000000..58fe4977211 --- /dev/null +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/udf/r/RUDFSourceOpDesc.java @@ -0,0 +1,116 @@ +package edu.uci.ics.texera.workflow.operators.udf.r; + +import com.fasterxml.jackson.annotation.JsonProperty; +import com.fasterxml.jackson.annotation.JsonPropertyDescription; +import com.google.common.base.Preconditions; +import com.kjetland.jackson.jsonSchema.annotations.JsonSchemaTitle; +import edu.uci.ics.amber.engine.architecture.deploysemantics.PhysicalOp; +import edu.uci.ics.amber.engine.architecture.deploysemantics.SchemaPropagationFunc; +import edu.uci.ics.amber.engine.architecture.deploysemantics.layer.OpExecInitInfo; +import edu.uci.ics.amber.engine.common.AmberRuntime; +import edu.uci.ics.amber.engine.common.virtualidentity.ExecutionIdentity; +import edu.uci.ics.amber.engine.common.virtualidentity.WorkflowIdentity; +import edu.uci.ics.amber.engine.common.workflow.InputPort; +import edu.uci.ics.amber.engine.common.workflow.OutputPort; +import edu.uci.ics.amber.engine.common.workflow.PortIdentity; +import edu.uci.ics.texera.workflow.common.metadata.OperatorGroupConstants; +import edu.uci.ics.texera.workflow.common.metadata.OperatorInfo; +import edu.uci.ics.texera.workflow.common.operators.source.SourceOperatorDescriptor; +import edu.uci.ics.texera.workflow.common.tuple.schema.Attribute; +import edu.uci.ics.texera.workflow.common.tuple.schema.Schema; +import edu.uci.ics.texera.workflow.operators.util.OperatorDescriptorUtils; +import scala.Option; +import scala.collection.immutable.Map; + +import java.io.Serializable; +import java.util.ArrayList; +import java.util.List; +import java.util.function.Function; + +import static java.util.Collections.singletonList; +import static scala.jdk.javaapi.CollectionConverters.asScala; + + +public class RUDFSourceOpDesc extends SourceOperatorDescriptor { + @JsonProperty( + required = true, + defaultValue = + "function() {\n\n" + + "}" + ) + @JsonSchemaTitle("R Source UDF Script") + @JsonPropertyDescription("Input your code here") + public String code; + + @JsonProperty(required = true, defaultValue = "1") + @JsonSchemaTitle("Worker count") + @JsonPropertyDescription("Specify how many parallel workers to lunch") + public Integer workers = 1; + + @JsonProperty() + @JsonSchemaTitle("Columns") + @JsonPropertyDescription("The columns of the source") + public List columns; + + @Override + public PhysicalOp getPhysicalOp(WorkflowIdentity workflowId, ExecutionIdentity executionId) { + OpExecInitInfo exec = OpExecInitInfo.apply(code, "r"); + Preconditions.checkArgument(workers >= 1, "Need at least 1 worker."); + SchemaPropagationFunc func = SchemaPropagationFunc.apply((Function, Map> & Serializable) inputSchemas -> { + // Initialize a Java HashMap + java.util.Map javaMap = new java.util.HashMap<>(); + + javaMap.put(operatorInfo().outputPorts().head().id(), sourceSchema()); + + // Convert the Java Map to a Scala immutable Map + return OperatorDescriptorUtils.toImmutableMap(javaMap); + }); + PhysicalOp physicalOp = PhysicalOp.sourcePhysicalOp( + workflowId, + executionId, + operatorIdentifier(), + exec + ) + .withInputPorts(operatorInfo().inputPorts()) + .withOutputPorts(operatorInfo().outputPorts()) + .withIsOneToManyOp(true) + .withPropagateSchema(func) + .withLocationPreference(Option.empty()); + + + if (workers > 1) { + return physicalOp + .withParallelizable(true) + .withSuggestedWorkerNum(workers); + } else { + return physicalOp.withParallelizable(false); + } + + } + + @Override + public OperatorInfo operatorInfo() { + return new OperatorInfo( + "1-out R UDF", + "User-defined function operator in R script", + OperatorGroupConstants.R_GROUP(), + asScala(new ArrayList()).toList(), + asScala(singletonList(new OutputPort(new PortIdentity(0, false), "", false))).toList(), + false, + false, + false, + false + ); + } + + @Override + public Schema sourceSchema() { + Schema.Builder outputSchemaBuilder = Schema.builder(); + + // for any UDFType, it can add custom output columns (attributes). + if (columns != null) { + outputSchemaBuilder.add(asScala(columns)).build(); + } + return outputSchemaBuilder.build(); + } +} \ No newline at end of file diff --git a/core/amber/src/main/scalapb/edu/uci/ics/amber/engine/architecture/worker/controlcommands/ControlCommandV2.scala b/core/amber/src/main/scalapb/edu/uci/ics/amber/engine/architecture/worker/controlcommands/ControlCommandV2.scala index 52f02b3f79d..1333742daf0 100644 --- a/core/amber/src/main/scalapb/edu/uci/ics/amber/engine/architecture/worker/controlcommands/ControlCommandV2.scala +++ b/core/amber/src/main/scalapb/edu/uci/ics/amber/engine/architecture/worker/controlcommands/ControlCommandV2.scala @@ -1834,6 +1834,7 @@ object SchedulerTimeSlotEventV2 extends scalapb.GeneratedMessageCompanion[edu.uc @SerialVersionUID(0L) final case class InitializeExecutorV2( code: _root_.scala.Predef.String, + language: _root_.scala.Predef.String, isSource: _root_.scala.Boolean ) extends scalapb.GeneratedMessage with edu.uci.ics.amber.engine.architecture.worker.controlcommands.ControlCommandV2.NonEmpty with scalapb.lenses.Updatable[InitializeExecutorV2] { @transient @@ -1848,10 +1849,17 @@ final case class InitializeExecutorV2( } }; + { + val __value = language + if (!__value.isEmpty) { + __size += _root_.com.google.protobuf.CodedOutputStream.computeStringSize(2, __value) + } + }; + { val __value = isSource if (__value != false) { - __size += _root_.com.google.protobuf.CodedOutputStream.computeBoolSize(2, __value) + __size += _root_.com.google.protobuf.CodedOutputStream.computeBoolSize(3, __value) } }; __size @@ -1871,14 +1879,21 @@ final case class InitializeExecutorV2( _output__.writeString(1, __v) } }; + { + val __v = language + if (!__v.isEmpty) { + _output__.writeString(2, __v) + } + }; { val __v = isSource if (__v != false) { - _output__.writeBool(2, __v) + _output__.writeBool(3, __v) } }; } def withCode(__v: _root_.scala.Predef.String): InitializeExecutorV2 = copy(code = __v) + def withLanguage(__v: _root_.scala.Predef.String): InitializeExecutorV2 = copy(language = __v) def withIsSource(__v: _root_.scala.Boolean): InitializeExecutorV2 = copy(isSource = __v) def getFieldByNumber(__fieldNumber: _root_.scala.Int): _root_.scala.Any = { (__fieldNumber: @_root_.scala.unchecked) match { @@ -1887,6 +1902,10 @@ final case class InitializeExecutorV2( if (__t != "") __t else null } case 2 => { + val __t = language + if (__t != "") __t else null + } + case 3 => { val __t = isSource if (__t != false) __t else null } @@ -1896,7 +1915,8 @@ final case class InitializeExecutorV2( _root_.scala.Predef.require(__field.containingMessage eq companion.scalaDescriptor) (__field.number: @_root_.scala.unchecked) match { case 1 => _root_.scalapb.descriptors.PString(code) - case 2 => _root_.scalapb.descriptors.PBoolean(isSource) + case 2 => _root_.scalapb.descriptors.PString(language) + case 3 => _root_.scalapb.descriptors.PBoolean(isSource) } } def toProtoString: _root_.scala.Predef.String = _root_.scalapb.TextFormat.printToSingleLineUnicodeString(this) @@ -1908,6 +1928,7 @@ object InitializeExecutorV2 extends scalapb.GeneratedMessageCompanion[edu.uci.ic implicit def messageCompanion: scalapb.GeneratedMessageCompanion[edu.uci.ics.amber.engine.architecture.worker.controlcommands.InitializeExecutorV2] = this def parseFrom(`_input__`: _root_.com.google.protobuf.CodedInputStream): edu.uci.ics.amber.engine.architecture.worker.controlcommands.InitializeExecutorV2 = { var __code: _root_.scala.Predef.String = "" + var __language: _root_.scala.Predef.String = "" var __isSource: _root_.scala.Boolean = false var _done__ = false while (!_done__) { @@ -1916,13 +1937,16 @@ object InitializeExecutorV2 extends scalapb.GeneratedMessageCompanion[edu.uci.ic case 0 => _done__ = true case 10 => __code = _input__.readStringRequireUtf8() - case 16 => + case 18 => + __language = _input__.readStringRequireUtf8() + case 24 => __isSource = _input__.readBool() case tag => _input__.skipField(tag) } } edu.uci.ics.amber.engine.architecture.worker.controlcommands.InitializeExecutorV2( code = __code, + language = __language, isSource = __isSource ) } @@ -1931,7 +1955,8 @@ object InitializeExecutorV2 extends scalapb.GeneratedMessageCompanion[edu.uci.ic _root_.scala.Predef.require(__fieldsMap.keys.forall(_.containingMessage eq scalaDescriptor), "FieldDescriptor does not match message type.") edu.uci.ics.amber.engine.architecture.worker.controlcommands.InitializeExecutorV2( code = __fieldsMap.get(scalaDescriptor.findFieldByNumber(1).get).map(_.as[_root_.scala.Predef.String]).getOrElse(""), - isSource = __fieldsMap.get(scalaDescriptor.findFieldByNumber(2).get).map(_.as[_root_.scala.Boolean]).getOrElse(false) + language = __fieldsMap.get(scalaDescriptor.findFieldByNumber(2).get).map(_.as[_root_.scala.Predef.String]).getOrElse(""), + isSource = __fieldsMap.get(scalaDescriptor.findFieldByNumber(3).get).map(_.as[_root_.scala.Boolean]).getOrElse(false) ) case _ => throw new RuntimeException("Expected PMessage") } @@ -1942,19 +1967,24 @@ object InitializeExecutorV2 extends scalapb.GeneratedMessageCompanion[edu.uci.ic def enumCompanionForFieldNumber(__fieldNumber: _root_.scala.Int): _root_.scalapb.GeneratedEnumCompanion[_] = throw new MatchError(__fieldNumber) lazy val defaultInstance = edu.uci.ics.amber.engine.architecture.worker.controlcommands.InitializeExecutorV2( code = "", + language = "", isSource = false ) implicit class InitializeExecutorV2Lens[UpperPB](_l: _root_.scalapb.lenses.Lens[UpperPB, edu.uci.ics.amber.engine.architecture.worker.controlcommands.InitializeExecutorV2]) extends _root_.scalapb.lenses.ObjectLens[UpperPB, edu.uci.ics.amber.engine.architecture.worker.controlcommands.InitializeExecutorV2](_l) { def code: _root_.scalapb.lenses.Lens[UpperPB, _root_.scala.Predef.String] = field(_.code)((c_, f_) => c_.copy(code = f_)) + def language: _root_.scalapb.lenses.Lens[UpperPB, _root_.scala.Predef.String] = field(_.language)((c_, f_) => c_.copy(language = f_)) def isSource: _root_.scalapb.lenses.Lens[UpperPB, _root_.scala.Boolean] = field(_.isSource)((c_, f_) => c_.copy(isSource = f_)) } final val CODE_FIELD_NUMBER = 1 - final val IS_SOURCE_FIELD_NUMBER = 2 + final val LANGUAGE_FIELD_NUMBER = 2 + final val IS_SOURCE_FIELD_NUMBER = 3 def of( code: _root_.scala.Predef.String, + language: _root_.scala.Predef.String, isSource: _root_.scala.Boolean ): _root_.edu.uci.ics.amber.engine.architecture.worker.controlcommands.InitializeExecutorV2 = _root_.edu.uci.ics.amber.engine.architecture.worker.controlcommands.InitializeExecutorV2( code, + language, isSource ) // @@protoc_insertion_point(GeneratedMessageCompanion[edu.uci.ics.amber.engine.architecture.worker.InitializeExecutorV2]) diff --git a/core/amber/src/main/scalapb/edu/uci/ics/amber/engine/architecture/worker/controlcommands/ControlcommandsProto.scala b/core/amber/src/main/scalapb/edu/uci/ics/amber/engine/architecture/worker/controlcommands/ControlcommandsProto.scala index 3125cb2b6cf..d2c71617e83 100644 --- a/core/amber/src/main/scalapb/edu/uci/ics/amber/engine/architecture/worker/controlcommands/ControlcommandsProto.scala +++ b/core/amber/src/main/scalapb/edu/uci/ics/amber/engine/architecture/worker/controlcommands/ControlcommandsProto.scala @@ -60,55 +60,56 @@ object ControlcommandsProto extends _root_.scalapb.GeneratedFileObject { Gl0aW9uaW5nIhwKGldvcmtlckV4ZWN1dGlvbkNvbXBsZXRlZFYyIhMKEVF1ZXJ5U3RhdGlzdGljc1YyIhoKGFF1ZXJ5Q3VycmVud ElucHV0VHVwbGVWMiKTAQoLTGlua09yZGluYWwSTwoEbGluaxgBIAEoCzItLmVkdS51Y2kuaWNzLmFtYmVyLmVuZ2luZS5jb21tb 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lazy val scalaDescriptor: _root_.scalapb.descriptors.FileDescriptor = { val scalaProto = com.google.protobuf.descriptor.FileDescriptorProto.parseFrom(ProtoBytes) diff --git a/core/gui/src/app/workspace/component/code-editor-dialog/code-editor.component.ts b/core/gui/src/app/workspace/component/code-editor-dialog/code-editor.component.ts index 561ba279957..3d79c078b94 100644 --- a/core/gui/src/app/workspace/component/code-editor-dialog/code-editor.component.ts +++ b/core/gui/src/app/workspace/component/code-editor-dialog/code-editor.component.ts @@ -52,6 +52,7 @@ export class CodeEditorComponent implements AfterViewInit, SafeStyle, OnDestroy changeLanguage(newLanguage: string) { this.language = newLanguage; + console.log("change to ", newLanguage); if (this.editor) { monaco.editor.setModelLanguage(this.editor.getModel(), newLanguage); } @@ -66,7 +67,15 @@ export class CodeEditorComponent implements AfterViewInit, SafeStyle, OnDestroy ) { const currentOperatorId = this.workflowActionService.getJointGraphWrapper().getCurrentHighlightedOperatorIDs()[0]; const operatorType = this.workflowActionService.getTexeraGraph().getOperator(currentOperatorId).operatorType; - this.changeLanguage(operatorType === "JavaUDF" ? "java" : "python"); + + console.log(operatorType); + if (operatorType === "RUDFSource" || operatorType === "RUDF") { + this.changeLanguage("r"); + } else if (operatorType === "PythonUDFV2" || operatorType === "PythonUDFSourceV2") { + this.changeLanguage("python"); + } else { + this.changeLanguage("java"); + } } ngAfterViewInit() { @@ -82,6 +91,8 @@ export class CodeEditorComponent implements AfterViewInit, SafeStyle, OnDestroy .get("operatorProperties") as YType> ).get("code") as YText; + console.log("added this code ", this.code); + this.workflowVersionService .getDisplayParticularVersionStream() .pipe(takeUntil(this.workflowVersionStreamSubject)) @@ -155,7 +166,9 @@ export class CodeEditorComponent implements AfterViewInit, SafeStyle, OnDestroy ); } this.editor = editor; - this.connectLanguageServer(); + if (this.language == "python") { + this.connectLanguageServer(); + } } private connectLanguageServer() { diff --git a/core/gui/src/app/workspace/service/workflow-graph/model/workflow-graph.ts b/core/gui/src/app/workspace/service/workflow-graph/model/workflow-graph.ts index 0a073c82049..c4119db4fc7 100644 --- a/core/gui/src/app/workspace/service/workflow-graph/model/workflow-graph.ts +++ b/core/gui/src/app/workspace/service/workflow-graph/model/workflow-graph.ts @@ -808,13 +808,16 @@ export class WorkflowGraph { * @param newProperty new property to set, the new y-object created from this will replace the old structure. */ public setOperatorProperty(operatorID: string, newProperty: object): void { + console.log("setting ", operatorID, newProperty); if (!this.hasOperator(operatorID)) { throw new Error(`operator with ID ${operatorID} doesn't exist`); } + console.log("setting ", operatorID, newProperty); const previousProperty = this.getSharedOperatorType(operatorID).get( "operatorProperties" ) as YType; + // set the new copy back to the operator ID map updateYTypeFromObject(previousProperty, 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zoseL3$3=0@y}vF1q;c7&0}{Eh170Y=hn6X11HW_rEr6HB@8HIHdust4i~?3GH1LF> zSaLU}9k}0~1*ENqVPXmWBI7Z#>rreVrN|fDy4qaku`cn>&oB=iGCgr#Af+1s^|3k} z(LZ~8Cxoyv(v4u=z}Faa2mv7HoB4Qs&X?*>ASM)IPjN->uZPh9VcNW^E86n^Jw*Z~ zzF_%wv1C&Kv;}@3u4w81J(U7j-V^^k&VY+)AgH~*z&N~pS)7lbYnj|;D*(bMXtfdu zPH+3?0$-Kn;~OV2=3cPsr7|vU_LkcRgAg(xz%q;C4ZL5RE)z>+DuA1TauIE|)<2&h zc^~E*ziy07<^1z|%KlB~h3gDns|$-x$`h6aBhBBV-af2@ Q*gycg%=em=o6s-*4@!!G>i_@% literal 0 HcmV?d00001 From e6042eb8e8a3aa8464fe2cdc9537ab666d876a5a Mon Sep 17 00:00:00 2001 From: Jiadong Bai <43344272+bobbai00@users.noreply.github.com> Date: Sun, 19 May 2024 16:29:00 -0700 Subject: [PATCH 42/44] Refine VirtualDocument APIs and PartitionDocument implementation (#2669) This PR first changes the VirtualDocument APIs, by replacing all the function names containing`write`/`set`, which are requiring to do append write, to `append`. It also modifies the `PartitionDocument` and `FileDocument` by adding a type parameter `T`. Using this T, the `FileDocument` supports iterator and get by index to provide caller more convenient way of doing read. --- .../engine/common/storage/FileDocument.scala | 76 ++++++++++++++++--- .../common/storage/VirtualDocument.scala | 17 +++-- .../storage/partition/PartitionDocument.scala | 15 ++-- .../common/storage/FileDocumentSpec.scala | 12 +-- .../partition/PartitionDocumentSpec.scala | 58 ++++++++------ 5 files changed, 124 insertions(+), 54 deletions(-) diff --git a/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/storage/FileDocument.scala b/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/storage/FileDocument.scala index 61585461697..b6d191e6dc3 100644 --- a/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/storage/FileDocument.scala +++ b/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/storage/FileDocument.scala @@ -1,23 +1,33 @@ package edu.uci.ics.amber.engine.common.storage +import com.twitter.chill.{KryoPool, ScalaKryoInstantiator} +import edu.uci.ics.amber.engine.common.storage.FileDocument.kryoPool import org.apache.commons.vfs2.{FileObject, VFS} -import java.io.{InputStream, OutputStreamWriter} +import java.io.InputStream import java.net.URI import java.util.concurrent.locks.ReentrantReadWriteLock +object FileDocument { + // Initialize KryoPool as a static object + private val kryoPool = KryoPool.withByteArrayOutputStream(10, new ScalaKryoInstantiator) +} + /** * FileDocument provides methods to read/write a file located on filesystem. * All methods are THREAD-SAFE implemented using read-write lock: * - 1 writer at a time: only 1 thread of current JVM can acquire the write lock * - n reader at a time: multiple threads of current JVM can acquire the read lock + * + * The type parameter T is used to specify the iterable data item stored in the File. FileDocument provides easy ways of setting/iterating these data items + * * @param uri the identifier of the file. If file doesn't physically exist, FileDocument will create the file during the constructing phase. */ -class FileDocument(val uri: URI) extends VirtualDocument[String] { +class FileDocument[T >: Null <: AnyRef](val uri: URI) extends VirtualDocument[T] { val file: FileObject = VFS.getManager.resolveFile(uri.toString) val lock = new ReentrantReadWriteLock() // Utility function to wrap code block with read lock - private def withReadLock[T](block: => T): T = { + private def withReadLock[M](block: => M): M = { lock.readLock().lock() try { block @@ -49,9 +59,10 @@ class FileDocument(val uri: URI) extends VirtualDocument[String] { /** * Append the content in the inputStream to the FileDocument. This method is THREAD-SAFE + * This method will NOT do any serialization. So the it is invalid to use getItem and iterator to get T from the document. * @param inputStream the data source input stream */ - override def write(inputStream: InputStream): Unit = + override def appendStream(inputStream: InputStream): Unit = withWriteLock { val outStream = file.getContent.getOutputStream(true) try { @@ -68,22 +79,67 @@ class FileDocument(val uri: URI) extends VirtualDocument[String] { } /** - * Append the content in the given string to the FileDocument. This method is THREAD-SAFE + * Append the content in the given object to the FileDocument. This method is THREAD-SAFE + * Each record will be stored as . * @param item the content to append */ - override def setItem(item: String): Unit = + override def append(item: T): Unit = withWriteLock { val outStream = file.getContent.getOutputStream(true) - val writer = new OutputStreamWriter(outStream) + val dataOutStream = new java.io.DataOutputStream(outStream) try { - writer.write(item) - writer.flush() + // write the length and the raw bytes in + val serializedBytes = kryoPool.toBytesWithClass(item) + dataOutStream.writeInt(serializedBytes.length) + dataOutStream.write(serializedBytes) } finally { - writer.close() + dataOutStream.close() outStream.close() } } + /** + * get the ith data item. The returned value will be deserialized using kyro + * + * @param i index starting from 0 + * @return data item of type T + */ + override def getItem(i: Int): T = { + val iterator = get() + iterator.drop(i).next() + } + + /** + * get the iterator of data items of type T. Each returned item will be deserialized using kyro + * @return an iterator that return data item of type T + */ + override def get(): Iterator[T] = { + lazy val input = new com.twitter.chill.Input(asInputStream()) + new Iterator[T] { + var record: T = internalNext() + + private def internalNext(): T = { + try { + val len = input.readInt() + val bytes = input.readBytes(len) + kryoPool.fromBytes(bytes).asInstanceOf[T] + } catch { + case _: Throwable => + input.close() + null + } + } + + override def next(): T = { + val currentRecord = record + record = internalNext() + currentRecord + } + + override def hasNext: Boolean = record != null + } + } + /** * Read content in the file document as the InputStream. This method is THREAD-SAFE * @return the input stream of content in the FileDocument. Due to the constraint of getInputStream, there may be only 1 input/output stream at any time diff --git a/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/storage/VirtualDocument.scala b/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/storage/VirtualDocument.scala index 082e8b790b9..734a539f07e 100644 --- a/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/storage/VirtualDocument.scala +++ b/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/storage/VirtualDocument.scala @@ -32,32 +32,33 @@ abstract class VirtualDocument[T >: Null <: AnyRef] { def get(): Iterator[T] = throw new NotImplementedError("get method is not implemented") /** - * append one data item to the document + * set ith item * @param item the data item */ - def setItem(item: T): Unit = + def setItem(i: Int, item: T): Unit = throw new NotImplementedError("setItem method is not implemented") /** - * set ith item + * append one data item to the document + * * @param item the data item */ - def setItem(i: Int, item: T): Unit = + def append(item: T): Unit = throw new NotImplementedError("setItem method is not implemented") /** * append data items from the iterator to the document * @param items iterator for the data item */ - def write(items: Iterator[T]): Unit = - throw new NotImplementedError("write method is not implemented") + def append(items: Iterator[T]): Unit = + throw new NotImplementedError("append method is not implemented") /** * append the file content with an opened input stream * @param inputStream the data source input stream */ - def write(inputStream: InputStream): Unit = - throw new NotImplementedError("write method is not implemented") + def appendStream(inputStream: InputStream): Unit = + throw new NotImplementedError("append method is not implemented") /** * convert document as an input stream diff --git a/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/storage/partition/PartitionDocument.scala b/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/storage/partition/PartitionDocument.scala index acb17c22459..eb4932841d7 100644 --- a/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/storage/partition/PartitionDocument.scala +++ b/core/amber/src/main/scala/edu/uci/ics/amber/engine/common/storage/partition/PartitionDocument.scala @@ -11,11 +11,12 @@ import java.net.URI * PartitionDocument only support getting the FileDocument that corresponds to the single partition either by index or by iterator. * To write over the partition, you should get the FileDocument first, then call write-related methods over it. FileDocument guarantees the thread-safe read/write. * + * The Type parameter T is used to specify the type of data item stored in the partition * @param uri the id of this partition document. Note that this URI does not physically corresponds to a file. * @param numOfPartition number of partitions */ -class PartitionDocument(val uri: URI, val numOfPartition: Int) - extends VirtualDocument[FileDocument] { +class PartitionDocument[T >: Null <: AnyRef](val uri: URI, val numOfPartition: Int) + extends VirtualDocument[FileDocument[T]] { /** * Utility functions to generate the partition URI by index @@ -40,7 +41,7 @@ class PartitionDocument(val uri: URI, val numOfPartition: Int) * @param i index starting from 0 * @return FileDocument corresponds to the certain partition */ - override def getItem(i: Int): FileDocument = { + override def getItem(i: Int): FileDocument[T] = { new FileDocument(getPartitionURI(i)) } @@ -49,17 +50,17 @@ class PartitionDocument(val uri: URI, val numOfPartition: Int) * This method is THREAD-UNSAFE, as multiple threads can get the iterator and loop through all partitions. But the returned FileDocument is thread-safe * @return an iterator that return the FileDocument corresponds to the certain partition */ - override def get(): Iterator[FileDocument] = - new Iterator[FileDocument] { + override def get(): Iterator[FileDocument[T]] = + new Iterator[FileDocument[T]] { private var i: Int = 0 override def hasNext: Boolean = i < numOfPartition - override def next(): FileDocument = { + override def next(): FileDocument[T] = { if (!hasNext) { throw new NoSuchElementException("No more partitions") } - val document = new FileDocument(getPartitionURI(i)) + val document = new FileDocument[T](getPartitionURI(i)) i += 1 document } diff --git a/core/amber/src/test/scala/edu/uci/ics/texera/workflow/common/storage/FileDocumentSpec.scala b/core/amber/src/test/scala/edu/uci/ics/texera/workflow/common/storage/FileDocumentSpec.scala index 11c9d3528e4..df5338d4985 100644 --- a/core/amber/src/test/scala/edu/uci/ics/texera/workflow/common/storage/FileDocumentSpec.scala +++ b/core/amber/src/test/scala/edu/uci/ics/texera/workflow/common/storage/FileDocumentSpec.scala @@ -17,7 +17,7 @@ import scala.util.Using class FileDocumentSpec extends AnyFlatSpec with Matchers with BeforeAndAfter { var tempFileURI: URI = _ - var fileDocument: FileDocument = _ + var fileDocument: FileDocument[String] = _ val initialContent = "Initial Content" val newContent = "New Content" @@ -29,7 +29,7 @@ class FileDocumentSpec extends AnyFlatSpec with Matchers with BeforeAndAfter { val contentStream = new ByteArrayInputStream(initialContent.getBytes) // Write initial content to file - fileDocument.write(contentStream) + fileDocument.appendStream(contentStream) contentStream.close() } @@ -65,7 +65,7 @@ class FileDocumentSpec extends AnyFlatSpec with Matchers with BeforeAndAfter { } it should "allow writing to the file" in { - fileDocument.setItem(newContent) + fileDocument.appendStream(new ByteArrayInputStream(newContent.getBytes)) // Read back the content val content = Using(fileDocument.asInputStream()) { inStream => @@ -87,7 +87,7 @@ class FileDocumentSpec extends AnyFlatSpec with Matchers with BeforeAndAfter { Future { val contentStream = new ByteArrayInputStream(s"Content from thread".getBytes) // multiple document of the same URI try to do write here - new FileDocument(tempFileURI).write(contentStream) + new FileDocument(tempFileURI).appendStream(contentStream) } } Future @@ -104,7 +104,7 @@ class FileDocumentSpec extends AnyFlatSpec with Matchers with BeforeAndAfter { it should "handle concurrent reads and writes safely" in { Future { val contentStream = new ByteArrayInputStream(newContent.getBytes) - fileDocument.write(contentStream) + fileDocument.appendStream(contentStream) } val readers: Seq[Future[String]] = (1 to 5).map { _ => @@ -141,7 +141,7 @@ class FileDocumentSpec extends AnyFlatSpec with Matchers with BeforeAndAfter { it should "correctly write and read a large amount of data" in { // Generate a large string of 20,000 characters val largeContent = "A" * 20000 - fileDocument.setItem(largeContent) + fileDocument.appendStream(new ByteArrayInputStream(largeContent.getBytes)) // Read back the content val content = Using(fileDocument.asInputStream()) { inStream => diff --git a/core/amber/src/test/scala/edu/uci/ics/texera/workflow/common/storage/partition/PartitionDocumentSpec.scala b/core/amber/src/test/scala/edu/uci/ics/texera/workflow/common/storage/partition/PartitionDocumentSpec.scala index d02a9e3e1ee..533d3fb96cb 100644 --- a/core/amber/src/test/scala/edu/uci/ics/texera/workflow/common/storage/partition/PartitionDocumentSpec.scala +++ b/core/amber/src/test/scala/edu/uci/ics/texera/workflow/common/storage/partition/PartitionDocumentSpec.scala @@ -1,36 +1,18 @@ package edu.uci.ics.texera.workflow.common.storage.partition import edu.uci.ics.amber.engine.common.storage.partition.PartitionDocument - import java.net.URI import java.nio.file.{Files, Path, Paths} import org.scalatest.flatspec.AnyFlatSpec import org.scalatest.BeforeAndAfter import org.scalatest.matchers.should.Matchers -import java.io.{ByteArrayOutputStream, InputStream} -import scala.util.Using - class PartitionDocumentSpec extends AnyFlatSpec with Matchers with BeforeAndAfter { var baseTempURI: Path = _ - var partitionDocument: PartitionDocument = _ + var partitionDocument: PartitionDocument[String] = _ val numOfPartitions: Int = 5 - private def readAllBytes(inputStream: InputStream): Array[Byte] = { - val buffer = new ByteArrayOutputStream() - val data = new Array[Byte](1024) - var nRead = 0 - while ({ - nRead = inputStream.read(data, 0, data.length) - nRead != -1 - }) { - buffer.write(data, 0, nRead) - } - buffer.flush() - buffer.toByteArray - } - before { // Create a temporary directory for the base URI baseTempURI = Files.createTempDirectory("partitionTest").resolve("partitionDoc") @@ -47,16 +29,14 @@ class PartitionDocumentSpec extends AnyFlatSpec with Matchers with BeforeAndAfte val iterator = partitionDocument.get() var i = 0 while (iterator.hasNext) { - iterator.next().setItem(s"Content for partition $i") + iterator.next().append(s"Content for partition $i") i += 1 } // Verify each partition's content for (i <- 0 until numOfPartitions) { val doc = partitionDocument.getItem(i) - val content = Using(doc.asInputStream()) { inStream => - new String(readAllBytes(inStream)) - }.getOrElse(fail("Failed to read from the partition")) + val content = doc.getItem(0) content should be(s"Content for partition $i") } } @@ -68,4 +48,36 @@ class PartitionDocumentSpec extends AnyFlatSpec with Matchers with BeforeAndAfte Files.exists(Paths.get(uri)) should be(false) } } + + it should "append items and read using iterator" in { + // Append items to each partition + for (i <- 0 until numOfPartitions) { + val doc = partitionDocument.getItem(i) + doc.append(s"First content for partition $i") + doc.append(s"Second content for partition $i") + } + + // Verify the content using iterator + for (i <- 0 until numOfPartitions) { + val doc = partitionDocument.getItem(i) + val iterator = doc.get() + iterator.next() should be(s"First content for partition $i") + iterator.next() should be(s"Second content for partition $i") + } + } + + it should "append items and get the first item correctly" in { + // Append items to each partition + for (i <- 0 until numOfPartitions) { + val doc = partitionDocument.getItem(i) + doc.append(s"First content for partition $i") + doc.append(s"Second content for partition $i") + } + + // Verify the first item in each partition + for (i <- 0 until numOfPartitions) { + val doc = partitionDocument.getItem(i) + doc.getItem(0) should be(s"First content for partition $i") + } + } } From 8bedb44cb6325822c9a67b70e23f1114e25b9fe1 Mon Sep 17 00:00:00 2001 From: Shengquan Ni <13672781+shengquan-ni@users.noreply.github.com> Date: Tue, 21 May 2024 21:41:27 -0700 Subject: [PATCH 43/44] Add wid as a param of the websocket url (#2673) as title. --- .../service/workflow-websocket/workflow-websocket.service.ts | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/core/gui/src/app/workspace/service/workflow-websocket/workflow-websocket.service.ts b/core/gui/src/app/workspace/service/workflow-websocket/workflow-websocket.service.ts index ca45f744499..85abf64c2cc 100644 --- a/core/gui/src/app/workspace/service/workflow-websocket/workflow-websocket.service.ts +++ b/core/gui/src/app/workspace/service/workflow-websocket/workflow-websocket.service.ts @@ -67,8 +67,10 @@ export class WorkflowWebsocketService { public openWebsocket(wId: number) { const websocketUrl = getWebsocketUrl(WorkflowWebsocketService.TEXERA_WEBSOCKET_ENDPOINT, "") + + "?wid=" + + wId + (environment.userSystemEnabled && AuthService.getAccessToken() !== null - ? "?access-token=" + AuthService.getAccessToken() + ? "&access-token=" + AuthService.getAccessToken() : ""); this.websocket = webSocket(websocketUrl); // setup reconnection logic From 5d03929e14c0871806f53fe06905127405b98a0e Mon Sep 17 00:00:00 2001 From: Zhe Yuan <86388854+MiuMiuMiue@users.noreply.github.com> Date: Wed, 22 May 2024 20:48:42 -0700 Subject: [PATCH 44/44] Result Panel Improvements (#2665) This PR resets the margins of each visualization plot in the result panel. The title of each plot is removed, and the name of each operator will be displayed in the result panel title (once the operator is highlighted). This PR also modifies the python console display, making it consistent with the result panel. https://github.com/Texera/texera/assets/86388854/f5e8f69e-f00a-40a0-8e09-4c052045be48 --------- Co-authored-by: mengw15 <125719918+mengw15@users.noreply.github.com> Co-authored-by: Xinyuan Lin --- .../visualization/DotPlot/DotPlotOpDesc.scala | 64 +++++++--------- .../ScatterMatrixChartOpDesc.scala | 11 +-- .../barChart/BarChartOpDesc.scala | 76 +++++++++---------- .../visualization/boxPlot/BoxPlotOpDesc.scala | 9 +-- .../bubbleChart/BubbleChartOpDesc.scala | 10 +-- .../dumbbellPlot/DumbbellPlotOpDesc.scala | 12 +-- .../filledAreaPlot/FilledAreaPlotOpDesc.scala | 8 +- .../funnelPlot/FunnelPlotOpDesc.scala | 7 +- .../ganttChart/GanttChartOpDesc.scala | 1 + .../visualization/heatMap/HeatMapOpDesc.scala | 6 +- .../hierarchychart/HierarchyChartOpDesc.scala | 1 + .../histogram/HistogramChartOpDesc.scala | 15 +--- .../lineChart/LineChartOpDesc.scala | 11 +-- .../pieChart/PieChartOpDesc.scala | 9 +-- .../scatter3DChart/Scatter3dChartOpDesc.scala | 8 +- .../scatterplot/ScatterplotOpDesc.scala | 3 +- .../tablesChart/TablesPlotOpDesc.scala | 1 + .../DotPlot/DotPlotOpDescSpec.scala | 69 +++-------------- .../bubbleChart/BubbleChartOpDescSpec.scala | 5 +- .../console-frame.component.html | 66 ++++++++-------- .../console-frame.component.scss | 11 ++- .../result-panel/result-panel.component.html | 4 +- .../result-panel/result-panel.component.ts | 20 +++++ .../result-table-frame.component.html | 3 +- .../result-table-frame.component.ts | 3 + .../visualization-frame-content.component.ts | 6 +- core/gui/src/styles.scss | 4 + 27 files changed, 177 insertions(+), 266 deletions(-) diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/DotPlot/DotPlotOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/DotPlot/DotPlotOpDesc.scala index 9c3f940e596..415779abd41 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/DotPlot/DotPlotOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/DotPlot/DotPlotOpDesc.scala @@ -20,11 +20,6 @@ class DotPlotOpDesc extends VisualizationOperator with PythonOperatorDescriptor @AutofillAttributeName var countAttribute: String = "" - @JsonProperty(value = "Title", required = true) - @JsonSchemaTitle("Title") - @JsonPropertyDescription("Title for the Dot Plot Visualization") - var title: String = "" - override def getOutputSchema(schemas: Array[Schema]): Schema = { Schema.builder().add(new Attribute("html-content", AttributeType.STRING)).build() } @@ -46,43 +41,38 @@ class DotPlotOpDesc extends VisualizationOperator with PythonOperatorDescriptor | | fig.update_traces(marker=dict(size=12, line=dict(width=2, color='DarkSlateGrey'))) | - | fig.update_layout(title='$title', - | xaxis_title='Counts', - | yaxis_title='$countAttribute', - | yaxis=dict(showline=True, showgrid=False, showticklabels=True), - | xaxis=dict(showline=True, showgrid=True, showticklabels=True), - | height=800) + | fig.update_layout(margin=dict(t=0, b=0, l=0, r=0)) |""".stripMargin } override def generatePythonCode(): String = { val finalCode = s""" - |from pytexera import * - | - |import plotly.express as px - |import plotly.graph_objects as go - |import plotly.io - | - |class ProcessTableOperator(UDFTableOperator): - | - | def render_error(self, error_msg): - | return '''

DotPlot is not available.

- |

Reasons are: {}

- | '''.format(error_msg) - | - | @overrides - | def process_table(self, table: Table, port: int) -> Iterator[Optional[TableLike]]: - | if table.empty: - | yield {'html-content': self.render_error("Input table is empty.")} - | return - | ${createPlotlyFigure()} - | if table.empty: - | yield {'html-content': self.render_error("No valid rows left (every row has at least 1 missing value).")} - | return - | # convert fig to html content - | html = plotly.io.to_html(fig, include_plotlyjs='cdn', auto_play=False) - | yield {'html-content': html} - |""".stripMargin + |from pytexera import * + | + |import plotly.express as px + |import plotly.graph_objects as go + |import plotly.io + | + |class ProcessTableOperator(UDFTableOperator): + | + | def render_error(self, error_msg): + | return '''

DotPlot is not available.

+ |

Reasons are: {}

+ | '''.format(error_msg) + | + | @overrides + | def process_table(self, table: Table, port: int) -> Iterator[Optional[TableLike]]: + | if table.empty: + | yield {'html-content': self.render_error("Input table is empty.")} + | return + | ${createPlotlyFigure()} + | if table.empty: + | yield {'html-content': self.render_error("No valid rows left (every row has at least 1 missing value).")} + | return + | # convert fig to html content + | html = plotly.io.to_html(fig, include_plotlyjs='cdn', auto_play=False) + | yield {'html-content': html} + |""".stripMargin finalCode } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/ScatterMatrixChart/ScatterMatrixChartOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/ScatterMatrixChart/ScatterMatrixChartOpDesc.scala index bd89ddbabe2..fb3eb977a19 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/ScatterMatrixChart/ScatterMatrixChartOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/ScatterMatrixChart/ScatterMatrixChartOpDesc.scala @@ -38,11 +38,6 @@ class ScatterMatrixChartOpDesc extends VisualizationOperator with PythonOperator @AutofillAttributeName var color: String = "" - @JsonProperty(value = "title", required = true, defaultValue = "Scatter Matrix Chart") - @JsonSchemaTitle("Title") - @JsonPropertyDescription("the title of the matrix chart") - var title: String = "Scatter Matrix Chart" - override def getOutputSchema(schemas: Array[Schema]): Schema = { Schema.builder().add(new Attribute("html-content", AttributeType.STRING)).build() } @@ -62,11 +57,7 @@ class ScatterMatrixChartOpDesc extends VisualizationOperator with PythonOperator val list_Attributes = selectedAttributes.map(attribute => s""""$attribute"""").mkString(",") s""" | fig = px.scatter_matrix(table, dimensions=[$list_Attributes], color='$color') - | fig.update_layout( - | title='$title', - | width=800, - | height=800 - | ) + | fig.update_layout(margin=dict(t=0, b=0, l=0, r=0)) |""".stripMargin } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/barChart/BarChartOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/barChart/BarChartOpDesc.scala index a0a6c472b13..24eb0966924 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/barChart/BarChartOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/barChart/BarChartOpDesc.scala @@ -24,11 +24,6 @@ import edu.uci.ics.texera.workflow.operators.visualization.{ """) class BarChartOpDesc extends VisualizationOperator with PythonOperatorDescriptor { - @JsonProperty(defaultValue = "Bar Graph Visual") - @JsonSchemaTitle("Title") - @JsonPropertyDescription("Add a title to your visualization") - var title: String = "" - @JsonProperty(value = "value", required = true) @JsonSchemaTitle("Value Column") @JsonPropertyDescription("the value associated with each category") @@ -84,41 +79,42 @@ class BarChartOpDesc extends VisualizationOperator with PythonOperatorDescriptor isCategoryColumn = "True" val finalCode = s""" - |from pytexera import * - | - |import plotly.express as px - |import pandas as pd - |import plotly.graph_objects as go - |import plotly.io - |import json - |import pickle - |import plotly - | - |class ProcessTableOperator(UDFTableOperator): - | - | # Generate custom error message as html string - | def render_error(self, error_msg) -> str: - | return '''

Bar chart is not available.

- |

Reason is: {}

- | '''.format(error_msg) - | - | @overrides - | def process_table(self, table: Table, port: int) -> Iterator[Optional[TableLike]]: - | ${manipulateTable()} - | if not table.empty and '$fields' != '$value': - | if $isHorizontalOrientation: - | fig = go.Figure(px.bar(table, y='$fields', x='$value', color="$categoryColumn" if $isCategoryColumn else None, orientation = 'h', title='$title')) - | else: - | fig = go.Figure(px.bar(table, y='$value', x='$fields', color="$categoryColumn" if $isCategoryColumn else None, title='$title')) - | html = plotly.io.to_html(fig, include_plotlyjs = 'cdn', auto_play = False) - | # use latest plotly lib in html - | #html = html.replace('https://cdn.plot.ly/plotly-2.3.1.min.js', 'https://cdn.plot.ly/plotly-2.18.2.min.js') - | elif '$fields' == '$value': - | html = self.render_error('Fields should not have the same value.') - | elif table.empty: - | html = self.render_error('Table should not have any empty/null values or fields.') - | yield {'html-content':html} - | """.stripMargin + |from pytexera import * + | + |import plotly.express as px + |import pandas as pd + |import plotly.graph_objects as go + |import plotly.io + |import json + |import pickle + |import plotly + | + |class ProcessTableOperator(UDFTableOperator): + | + | # Generate custom error message as html string + | def render_error(self, error_msg) -> str: + | return '''

Bar chart is not available.

+ |

Reason is: {}

+ | '''.format(error_msg) + | + | @overrides + | def process_table(self, table: Table, port: int) -> Iterator[Optional[TableLike]]: + | ${manipulateTable()} + | if not table.empty and '$fields' != '$value': + | if $isHorizontalOrientation: + | fig = go.Figure(px.bar(table, y='$fields', x='$value', color="$categoryColumn" if $isCategoryColumn else None, orientation = 'h')) + | else: + | fig = go.Figure(px.bar(table, y='$value', x='$fields', color="$categoryColumn" if $isCategoryColumn else None)) + | fig.update_layout(margin=dict(l=0, r=0, t=0, b=0)) + | html = plotly.io.to_html(fig, include_plotlyjs = 'cdn', auto_play = False) + | # use latest plotly lib in html + | #html = html.replace('https://cdn.plot.ly/plotly-2.3.1.min.js', 'https://cdn.plot.ly/plotly-2.18.2.min.js') + | elif '$fields' == '$value': + | html = self.render_error('Fields should not have the same value.') + | elif table.empty: + | html = self.render_error('Table should not have any empty/null values or fields.') + | yield {'html-content':html} + | """.stripMargin finalCode } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/boxPlot/BoxPlotOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/boxPlot/BoxPlotOpDesc.scala index 261fab8e5cc..46cacae2f7b 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/boxPlot/BoxPlotOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/boxPlot/BoxPlotOpDesc.scala @@ -23,11 +23,6 @@ import edu.uci.ics.texera.workflow.operators.visualization.{ """) class BoxPlotOpDesc extends VisualizationOperator with PythonOperatorDescriptor { - @JsonProperty(defaultValue = "Box Plot Visual") - @JsonSchemaTitle("Title") - @JsonPropertyDescription("Add a title to your visualization") - var title: String = "" - @JsonProperty(value = "value", required = true) @JsonSchemaTitle("Value Column") @JsonPropertyDescription("Data Column for Boxplot") @@ -77,9 +72,7 @@ class BoxPlotOpDesc extends VisualizationOperator with PythonOperatorDescriptor | else: | fig = px.box(table, y='$value',boxmode="overlay", points='all') | fig.update_traces(quartilemethod="${quertiletype.getQuartiletype}", jitter=0, col=1) - | - | - | + | fig.update_layout(margin=dict(t=0, b=0, l=0, r=0)) |""".stripMargin } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/bubbleChart/BubbleChartOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/bubbleChart/BubbleChartOpDesc.scala index 6ca2fde65bc..9e7d30e1c20 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/bubbleChart/BubbleChartOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/bubbleChart/BubbleChartOpDesc.scala @@ -37,11 +37,6 @@ class BubbleChartOpDesc extends VisualizationOperator with PythonOperatorDescrip @JsonPropertyDescription("Data column to determine bubble size") @AutofillAttributeName var zValue: String = "" - @JsonProperty(value = "title", required = true) - @JsonSchemaTitle("Title") - @JsonPropertyDescription("Title of Chart") - var title: String = "My Bubble Chart" - @JsonProperty(value = "enableColor", defaultValue = "false") @JsonSchemaTitle("Enable Color") @JsonPropertyDescription("Colors bubbles using a data column") @@ -80,9 +75,9 @@ class BubbleChartOpDesc extends VisualizationOperator with PythonOperatorDescrip assert(xValue.nonEmpty && yValue.nonEmpty && zValue.nonEmpty) s""" | if '$enableColor' == 'true': - | fig = go.Figure(px.scatter(table, x='$xValue', y='$yValue', size='$zValue', size_max=100, title='$title', color='$colorCategory')) + | fig = go.Figure(px.scatter(table, x='$xValue', y='$yValue', size='$zValue', size_max=100, color='$colorCategory')) | else: - | fig = go.Figure(px.scatter(table, x='$xValue', y='$yValue', size='$zValue', size_max=100, title='$title')) + | fig = go.Figure(px.scatter(table, x='$xValue', y='$yValue', size='$zValue', size_max=100)) |""".stripMargin } @@ -113,6 +108,7 @@ class BubbleChartOpDesc extends VisualizationOperator with PythonOperatorDescrip | if table.empty: | yield {'html-content': self.render_error("No valid rows left (every row has at least 1 missing value).")} | return + | fig.update_layout(margin=dict(l=0, r=0, b=0, t=0)) | html = plotly.io.to_html(fig, include_plotlyjs = 'cdn', auto_play = False) | yield {'html-content':html} |""".stripMargin diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/dumbbellPlot/DumbbellPlotOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/dumbbellPlot/DumbbellPlotOpDesc.scala index 52e7d876dc3..e15ba89b0d1 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/dumbbellPlot/DumbbellPlotOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/dumbbellPlot/DumbbellPlotOpDesc.scala @@ -27,11 +27,6 @@ import scala.jdk.CollectionConverters.CollectionHasAsScala """) class DumbbellPlotOpDesc extends VisualizationOperator with PythonOperatorDescriptor { - @JsonProperty(value = "title", required = false, defaultValue = "DumbbellPlot Visualization") - @JsonSchemaTitle("Title") - @JsonPropertyDescription("the title of this dumbbell plots") - var title: String = "DumbbellPlot Visualization" - @JsonProperty(value = "categoryColumnName", required = true) @JsonSchemaTitle("Category Column Name") @JsonPropertyDescription("the name of the category column") @@ -106,12 +101,10 @@ class DumbbellPlotOpDesc extends VisualizationOperator with PythonOperatorDescri | name=entity, | line=dict(color=color))) | - | fig.update_layout(title="${title}", - | xaxis_title="${measurementColumnName}", + | fig.update_layout(xaxis_title="${measurementColumnName}", | yaxis_title="${comparedColumnName}", | yaxis=dict(categoryorder='array', categoryarray=entityNames), - | ${showLegendsOption}, - | height=20 * len(entityNames) + | ${showLegendsOption} | ) |""".stripMargin } @@ -168,6 +161,7 @@ class DumbbellPlotOpDesc extends VisualizationOperator with PythonOperatorDescri | ${createPlotlyDumbbellLineFigure()} | ${addPlotlyDots()} | # convert fig to html content + | fig.update_layout(margin=dict(l=0, r=0, b=60, t=0)) | html = plotly.io.to_html(fig, include_plotlyjs='cdn', auto_play=False) | yield {'html-content': html} | diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/filledAreaPlot/FilledAreaPlotOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/filledAreaPlot/FilledAreaPlotOpDesc.scala index 4df90eda74d..3e5ee2523dc 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/filledAreaPlot/FilledAreaPlotOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/filledAreaPlot/FilledAreaPlotOpDesc.scala @@ -14,11 +14,6 @@ import edu.uci.ics.texera.workflow.operators.visualization.{ class FilledAreaPlotOpDesc extends VisualizationOperator with PythonOperatorDescriptor { - @JsonProperty(required = true) - @JsonSchemaTitle("Title") - @JsonPropertyDescription("Title of our plot") - var title: String = "" - @JsonProperty(required = true) @JsonSchemaTitle("X-axis Attribute") @JsonPropertyDescription("The attribute for your x-axis") @@ -74,7 +69,7 @@ class FilledAreaPlotOpDesc extends VisualizationOperator with PythonOperatorDesc val lineGroupArg = if (lineGroup.nonEmpty) s""", line_group="$lineGroup"""" else "" s""" - | fig = px.area(table, x="$x", y="$y", title="$title"$colorArg$facetColumnArg$lineGroupArg) + | fig = px.area(table, x="$x", y="$y"$colorArg$facetColumnArg$lineGroupArg) |""".stripMargin } @@ -121,6 +116,7 @@ class FilledAreaPlotOpDesc extends VisualizationOperator with PythonOperatorDesc | | if error == "": | ${createPlotlyFigure()} + | fig.update_layout(margin=dict(l=0, r=0, b=0, t=0)) | | html = plotly.io.to_html(fig, include_plotlyjs='cdn', auto_play=False) | yield {'html-content': html} diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/funnelPlot/FunnelPlotOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/funnelPlot/FunnelPlotOpDesc.scala index 0168ab5c4c2..b9d025b8397 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/funnelPlot/FunnelPlotOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/funnelPlot/FunnelPlotOpDesc.scala @@ -20,10 +20,6 @@ import edu.uci.ics.texera.workflow.operators.visualization.{ } """) class FunnelPlotOpDesc extends VisualizationOperator with PythonOperatorDescriptor { - @JsonProperty(value = "title", required = true, defaultValue = "Funnel Plot") - @JsonSchemaTitle("Plot Title") - @JsonPropertyDescription("The value for the plot title") - var title: String = "Funnel Plot" @JsonProperty(required = true) @JsonSchemaTitle("X Column") @@ -63,12 +59,11 @@ class FunnelPlotOpDesc extends VisualizationOperator with PythonOperatorDescript s""" | fig = go.Figure(px.funnel(table, x ="$x", y = "$y"$colorArg)) | fig.update_layout( - | title='$title', | scene=dict( | xaxis_title='X: $x', | yaxis_title='Y: $y', | ), - | margin=dict(t=40, b=30, l=10, r=10) + | margin=dict(t=0, b=0, l=0, r=0) | ) |""".stripMargin } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/ganttChart/GanttChartOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/ganttChart/GanttChartOpDesc.scala index 81d5e828a5b..0a10312c8bd 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/ganttChart/GanttChartOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/ganttChart/GanttChartOpDesc.scala @@ -76,6 +76,7 @@ class GanttChartOpDesc extends VisualizationOperator with PythonOperatorDescript s""" | fig = px.timeline(table, x_start='$start', x_end='$finish', y='$task' $colorSetting) | fig.update_yaxes(autorange='reversed') + | fig.update_layout(margin=dict(t=0, b=0, l=0, r=0)) |""".stripMargin } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/heatMap/HeatMapOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/heatMap/HeatMapOpDesc.scala index 962151e2b98..e7354aa12d5 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/heatMap/HeatMapOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/heatMap/HeatMapOpDesc.scala @@ -13,10 +13,6 @@ import edu.uci.ics.texera.workflow.operators.visualization.{ } class HeatMapOpDesc extends VisualizationOperator with PythonOperatorDescriptor { - @JsonProperty(defaultValue = "HeatMap", required = true) - @JsonSchemaTitle("Title") - @JsonPropertyDescription("Add a title to your visualization") - var title: String = "" @JsonProperty(value = "x", required = true) @JsonSchemaTitle("Value X Column") @@ -55,7 +51,7 @@ class HeatMapOpDesc extends VisualizationOperator with PythonOperatorDescriptor assert(value.nonEmpty) s""" | heatmap = go.Heatmap(z=table["$value"],x=table["$x"],y=table["$y"]) - | layout = go.Layout(title='$title') + | layout = go.Layout(margin=dict(l=0, r=0, b=0, t=0)) | fig = go.Figure(data=[heatmap], layout=layout) |""".stripMargin } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/hierarchychart/HierarchyChartOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/hierarchychart/HierarchyChartOpDesc.scala index f9782a1e32b..5670db7aef9 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/hierarchychart/HierarchyChartOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/hierarchychart/HierarchyChartOpDesc.scala @@ -105,6 +105,7 @@ class HierarchyChartOpDesc extends VisualizationOperator with PythonOperatorDesc | return | ${createPlotlyFigure()} | # convert fig to html content + | fig.update_layout(margin=dict(l=0, r=0, b=0, t=0)) | html = plotly.io.to_html(fig, include_plotlyjs='cdn', auto_play=False) | yield {'html-content': html} |""".stripMargin diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/histogram/HistogramChartOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/histogram/HistogramChartOpDesc.scala index bfac3d18624..63e06f0f0ce 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/histogram/HistogramChartOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/histogram/HistogramChartOpDesc.scala @@ -13,11 +13,6 @@ import edu.uci.ics.texera.workflow.operators.visualization.{ } class HistogramChartOpDesc extends VisualizationOperator with PythonOperatorDescriptor { - @JsonProperty(required = false, defaultValue = "Histogram Chart") - @JsonSchemaTitle("Title") - @JsonPropertyDescription("Add a title to your histogram chart.") - var title: String = "Histogram Chart" - @JsonProperty(value = "value", required = true) @JsonSchemaTitle("Value Column") @JsonPropertyDescription("Column for counting values.") @@ -36,13 +31,6 @@ class HistogramChartOpDesc extends VisualizationOperator with PythonOperatorDesc @AutofillAttributeName var separateBy: String = "" - /** - * This method is to be implemented to generate the actual Python source code - * based on operators predicates. - * - * @return a String representation of the executable Python source code. - */ - override def operatorInfo: OperatorInfo = OperatorInfo( "Histogram Chart", @@ -60,7 +48,8 @@ class HistogramChartOpDesc extends VisualizationOperator with PythonOperatorDesc if (separateBy.nonEmpty) categoryParam = s", facet_col = '$separateBy'" s""" - | fig = px.histogram(table, x = '$value', title = '$title', text_auto = True $colorParam $categoryParam) + | fig = px.histogram(table, x = '$value', text_auto = True $colorParam $categoryParam) + | fig.update_layout(margin=dict(l=0, r=0, t=0, b=0)) |""".stripMargin } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/lineChart/LineChartOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/lineChart/LineChartOpDesc.scala index d5329731313..c06966e8c11 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/lineChart/LineChartOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/lineChart/LineChartOpDesc.scala @@ -16,11 +16,6 @@ import scala.jdk.CollectionConverters.ListHasAsScala class LineChartOpDesc extends VisualizationOperator with PythonOperatorDescriptor { - @JsonProperty(value = "title", required = false, defaultValue = "Line Chart") - @JsonSchemaTitle("Plot Title") - @JsonPropertyDescription("The value for the plot tile") - var title: String = "" - @JsonProperty(value = "yLabel", required = false, defaultValue = "Y Axis") @JsonSchemaTitle("Y Label") @JsonPropertyDescription("the label for y axis") @@ -74,9 +69,9 @@ class LineChartOpDesc extends VisualizationOperator with PythonOperatorDescripto s""" | fig = go.Figure() | ${linesPart.mkString("\n ")} - | fig.update_layout(title='$title', - | xaxis_title='$xLabel', - | yaxis_title='$yLabel') + | fig.update_layout(margin=dict(t=0, b=0, l=0, r=0), + | xaxis_title='$xLabel', + | yaxis_title='$yLabel') |""".stripMargin } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/pieChart/PieChartOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/pieChart/PieChartOpDesc.scala index 59a8c033108..f1d99e9a3b8 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/pieChart/PieChartOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/pieChart/PieChartOpDesc.scala @@ -36,11 +36,6 @@ class PieChartOpDesc extends VisualizationOperator with PythonOperatorDescriptor @AutofillAttributeName var name: String = "" - @JsonProperty(value = "title", required = false, defaultValue = "PieChart Visualization") - @JsonSchemaTitle("Title") - @JsonPropertyDescription("the title of this pie chart") - var title: String = "PieChart Visualization" - override def getOutputSchema(schemas: Array[Schema]): Schema = { Schema.builder().add(new Attribute("html-content", AttributeType.STRING)).build() } @@ -64,9 +59,9 @@ class PieChartOpDesc extends VisualizationOperator with PythonOperatorDescriptor def createPlotlyFigure(): String = { assert(value.nonEmpty) s""" - | fig = px.pie(table, names='$name', values='$value', title='$title') + | fig = px.pie(table, names='$name', values='$value') | fig.update_traces(textposition='inside', textinfo='percent+label') - | fig.update_layout(margin=dict(t=40, b=30, l=10, r=10)) + | fig.update_layout(margin=dict(t=0, b=0, l=0, r=0)) |""".stripMargin } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/scatter3DChart/Scatter3dChartOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/scatter3DChart/Scatter3dChartOpDesc.scala index d51c1f3220b..09f342032f7 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/scatter3DChart/Scatter3dChartOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/scatter3DChart/Scatter3dChartOpDesc.scala @@ -20,11 +20,6 @@ import edu.uci.ics.texera.workflow.operators.visualization.{ } """) class Scatter3dChartOpDesc extends VisualizationOperator with PythonOperatorDescriptor { - @JsonProperty(value = "title", required = true, defaultValue = "Scatter3D Chart") - @JsonSchemaTitle("Plot Title") - @JsonPropertyDescription("The value for the plot title") - var title: String = "Scatter3D Chart" - @JsonProperty(value = "x", required = true) @JsonSchemaTitle("X Column") @JsonPropertyDescription("Data column for the x-axis") @@ -74,13 +69,12 @@ class Scatter3dChartOpDesc extends VisualizationOperator with PythonOperatorDesc | )]) | fig.update_traces(marker=dict(size=5, opacity=0.8)) | fig.update_layout( - | title='$title', | scene=dict( | xaxis_title='X: $x', | yaxis_title='Y: $y', | zaxis_title='Z: $z' | ), - | margin=dict(t=40, b=30, l=10, r=10) + | margin=dict(t=0, b=0, l=0, r=0) | ) |""".stripMargin } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/scatterplot/ScatterplotOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/scatterplot/ScatterplotOpDesc.scala index a87dced657f..4b714f310f9 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/scatterplot/ScatterplotOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/scatterplot/ScatterplotOpDesc.scala @@ -78,7 +78,8 @@ class ScatterplotOpDesc extends VisualizationOperator with PythonOperatorDescrip val colorColExpr = if (colorColumn.nonEmpty) { s"color='$colorColumn'" } else { "" } s""" - | fig = go.Figure(px.scatter(table, x='$xColumn', y='$yColumn', $colorColExpr)) + | fig = go.Figure(px.scatter(table, x='$xColumn', y='$yColumn')) + | fig.update_layout(margin=dict(l=0, r=0, t=0, b=0)) |""".stripMargin } diff --git a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/tablesChart/TablesPlotOpDesc.scala b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/tablesChart/TablesPlotOpDesc.scala index a38670e0f66..b677a00e922 100644 --- a/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/tablesChart/TablesPlotOpDesc.scala +++ b/core/amber/src/main/scala/edu/uci/ics/texera/workflow/operators/visualization/tablesChart/TablesPlotOpDesc.scala @@ -69,6 +69,7 @@ class TablesPlotOpDesc extends VisualizationOperator with PythonOperatorDescript | | ${createPlotlyFigure()} + | fig.update_layout(margin=dict(l=0, r=0, b=0, t=0)) | html_content = plotly.io.to_html(fig, include_plotlyjs='cdn') | yield {'html-content': html_content} """.stripMargin diff --git a/core/amber/src/test/scala/edu/uci/ics/texera/workflow/operators/visualization/DotPlot/DotPlotOpDescSpec.scala b/core/amber/src/test/scala/edu/uci/ics/texera/workflow/operators/visualization/DotPlot/DotPlotOpDescSpec.scala index 50654d4ab34..302a61e9ad9 100644 --- a/core/amber/src/test/scala/edu/uci/ics/texera/workflow/operators/visualization/DotPlot/DotPlotOpDescSpec.scala +++ b/core/amber/src/test/scala/edu/uci/ics/texera/workflow/operators/visualization/DotPlot/DotPlotOpDescSpec.scala @@ -2,6 +2,7 @@ package edu.uci.ics.texera.workflow.operators.visualization.DotPlot import org.scalatest.BeforeAndAfter import org.scalatest.flatspec.AnyFlatSpec + class DotPlotOpDescSpec extends AnyFlatSpec with BeforeAndAfter { var opDesc: DotPlotOpDesc = _ @@ -9,65 +10,15 @@ class DotPlotOpDescSpec extends AnyFlatSpec with BeforeAndAfter { opDesc = new DotPlotOpDesc() } - it should "generate Plotly figure code in Python" in { - opDesc.countAttribute = "count_attribute" - opDesc.title = "Styled Categorical Dot Plot" - val expectedFigureCode = - s""" - | table = table.groupby(['count_attribute'])['count_attribute'].count().reset_index(name='counts') - | fig = px.strip(table, x='counts', y='count_attribute', orientation='h', color='count_attribute', - | color_discrete_sequence=px.colors.qualitative.Dark2) - | - | fig.update_traces(marker=dict(size=12, line=dict(width=2, color='DarkSlateGrey'))) - | - | fig.update_layout(title='Styled Categorical Dot Plot', - | xaxis_title='Counts', - | yaxis_title='count_attribute', - | yaxis=dict(showline=True, showgrid=False, showticklabels=True), - | xaxis=dict(showline=True, showgrid=True, showticklabels=True), - | height=800) - |""".stripMargin - - assert(opDesc.createPlotlyFigure() === expectedFigureCode) - } - - it should "generate Python code with the provided CountAttribute" in { - opDesc.countAttribute = "count_attribute" - val expectedPythonCode = - s""" - |from pytexera import * - | - |import plotly.express as px - |import plotly.graph_objects as go - |import plotly.io - | - |class ProcessTableOperator(UDFTableOperator): - | - | def render_error(self, error_msg): - | return '''

DotPlot is not available.

- |

Reasons are: {}

- | '''.format(error_msg) - | - | @overrides - | def process_table(self, table: Table, port: int) -> Iterator[Optional[TableLike]]: - | if table.empty: - | yield {'html-content': self.render_error("Input table is empty.")} - | return - | ${opDesc.createPlotlyFigure()} - | if table.empty: - | yield {'html-content': self.render_error("No valid rows left (every row has at least 1 missing value).")} - | return - | # convert fig to html content - | html = plotly.io.to_html(fig, include_plotlyjs='cdn', auto_play=False) - | yield {'html-content': html} - |""".stripMargin - - val generatedPythonCode = opDesc.generatePythonCode() - - assert(generatedPythonCode === expectedPythonCode) - } + it should "generate a plotly python figure with count aggregation" in { + opDesc.countAttribute = "column1" - it should "not be parallelizable" in { - assert(!opDesc.parallelizable()) + assert( + opDesc + .createPlotlyFigure() + .contains( + "table = table.groupby(['column1'])['column1'].count().reset_index(name='counts')" + ) + ) } } diff --git a/core/amber/src/test/scala/edu/uci/ics/texera/workflow/operators/visualization/bubbleChart/BubbleChartOpDescSpec.scala b/core/amber/src/test/scala/edu/uci/ics/texera/workflow/operators/visualization/bubbleChart/BubbleChartOpDescSpec.scala index 35832924fd1..d27cf10fedd 100644 --- a/core/amber/src/test/scala/edu/uci/ics/texera/workflow/operators/visualization/bubbleChart/BubbleChartOpDescSpec.scala +++ b/core/amber/src/test/scala/edu/uci/ics/texera/workflow/operators/visualization/bubbleChart/BubbleChartOpDescSpec.scala @@ -9,18 +9,17 @@ class BubbleChartOpDescSpec extends AnyFlatSpec with BeforeAndAfter { opDesc = new BubbleChartOpDesc() } - it should "generate a plotly python figure with 3 columns and a title" in { + it should "generate a plotly python figure with 3 columns" in { opDesc.xValue = "column1" opDesc.yValue = "column2" opDesc.zValue = "column3" - opDesc.title = "myTitle" opDesc.enableColor = false assert( opDesc .createPlotlyFigure() .contains( - "fig = go.Figure(px.scatter(table, x='column1', y='column2', size='column3', size_max=100, title='myTitle'))" + "fig = go.Figure(px.scatter(table, x='column1', y='column2', size='column3', size_max=100))" ) ) } diff --git a/core/gui/src/app/workspace/component/result-panel/console-frame/console-frame.component.html b/core/gui/src/app/workspace/component/result-panel/console-frame/console-frame.component.html index 63468d80c62..bb18c5c8b01 100644 --- a/core/gui/src/app/workspace/component/result-panel/console-frame/console-frame.component.html +++ b/core/gui/src/app/workspace/component/result-panel/console-frame/console-frame.component.html @@ -108,17 +108,14 @@
+ style="display: flex" + nzcol + nz-span="12"> {{(entry.timestamp.seconds * 1000 + entry.timestamp.nanos * 0.000001) | date : "M-d-yy, HH:mm:ss.SSS"}} -
-
- + [nzAddOnBefore]="addOnBeforeTemplate" + class="console-input-container"> +
+ + + +
- diff --git a/core/gui/src/app/workspace/component/result-panel/console-frame/console-frame.component.scss b/core/gui/src/app/workspace/component/result-panel/console-frame/console-frame.component.scss index 723a8b43de3..b84eb83a0bf 100644 --- a/core/gui/src/app/workspace/component/result-panel/console-frame/console-frame.component.scss +++ b/core/gui/src/app/workspace/component/result-panel/console-frame/console-frame.component.scss @@ -9,7 +9,10 @@ } .console-list-container { - height: 200px; + position: fixed; + height: calc(100% - 130px); + min-height: 20px; + width: calc(100% - 130px); border: 1px solid #e8e8e8; border-radius: 2px; overflow: auto; @@ -82,3 +85,9 @@ } } } + +.console-input-container { + position: fixed; + bottom: 20px; + left: 125px; +} diff --git a/core/gui/src/app/workspace/component/result-panel/result-panel.component.html b/core/gui/src/app/workspace/component/result-panel/result-panel.component.html index a895bd4b846..553ddd93efc 100644 --- a/core/gui/src/app/workspace/component/result-panel/result-panel.component.html +++ b/core/gui/src/app/workspace/component/result-panel/result-panel.component.html @@ -39,7 +39,7 @@ nz-menu-item (click)="openPanel()" *ngIf="!width" - nz-tooltip="Result Panel"> + nz-tooltip="Result Panel: {{operatorTitle}}"> @@ -50,7 +50,7 @@ id="title" cdkDragHandle *ngIf="width"> - Result Panel + Result Panel: {{operatorTitle}}

{ this.rerenderResultPanel(); this.changeDetectorRef.detectChanges(); + this.registerOperatorDisplayNameChangeHandler(); }); } @@ -220,6 +222,24 @@ export class ResultPanelComponent implements OnInit, OnDestroy { } } + private registerOperatorDisplayNameChangeHandler(): void { + if (this.currentOperatorId) { + const operator = this.workflowActionService.getTexeraGraph().getOperator(this.currentOperatorId); + this.operatorTitle = operator.customDisplayName ?? ""; + this.workflowActionService + .getTexeraGraph() + .getOperatorDisplayNameChangedStream() + .pipe(untilDestroyed(this)) + .subscribe(({ operatorID, newDisplayName }) => { + console.log(operatorID); + console.log(this.currentOperatorId); + if (operatorID === this.currentOperatorId) { + this.operatorTitle = newDisplayName; + } + }); + } + } + private static needRerenderOnStateChange(event: { previous: ExecutionStateInfo; current: ExecutionStateInfo; diff --git a/core/gui/src/app/workspace/component/result-panel/result-table-frame/result-table-frame.component.html b/core/gui/src/app/workspace/component/result-panel/result-table-frame/result-table-frame.component.html index 01acd878c3b..55f3a3d6526 100644 --- a/core/gui/src/app/workspace/component/result-panel/result-table-frame/result-table-frame.component.html +++ b/core/gui/src/app/workspace/component/result-panel/result-table-frame/result-table-frame.component.html @@ -25,7 +25,8 @@

Empty result set

+ style="text-align: center" + nzWidth="widthPercent"> {{ column.header }} diff --git a/core/gui/src/app/workspace/component/result-panel/result-table-frame/result-table-frame.component.ts b/core/gui/src/app/workspace/component/result-panel/result-table-frame/result-table-frame.component.ts index 2b6daeea714..061cb43b4b1 100644 --- a/core/gui/src/app/workspace/component/result-panel/result-table-frame/result-table-frame.component.ts +++ b/core/gui/src/app/workspace/component/result-panel/result-table-frame/result-table-frame.component.ts @@ -47,6 +47,7 @@ export class ResultTableFrameComponent implements OnInit, OnChanges { currentPageIndex: number = 1; totalNumTuples: number = 0; pageSize = 5; + widthPercent: string = ""; constructor( private executeWorkflowService: ExecuteWorkflowService, @@ -88,6 +89,8 @@ export class ResultTableFrameComponent implements OnInit, OnChanges { } return; } + let columnCount = this.currentColumns?.length; + if (columnCount) this.widthPercent = (1 / columnCount) * 100 + "%"; this.isFrontPagination = false; this.totalNumTuples = opUpdate.totalNumTuples; if (opUpdate.dirtyPageIndices.includes(this.currentPageIndex)) { diff --git a/core/gui/src/app/workspace/component/visualization-panel-content/visualization-frame-content.component.ts b/core/gui/src/app/workspace/component/visualization-panel-content/visualization-frame-content.component.ts index 15289f60049..3ec6a25d905 100644 --- a/core/gui/src/app/workspace/component/visualization-panel-content/visualization-frame-content.component.ts +++ b/core/gui/src/app/workspace/component/visualization-panel-content/visualization-frame-content.component.ts @@ -54,12 +54,10 @@ export class VisualizationFrameContentComponent implements AfterContentInit { const doc = parser.parseFromString(Object(data[0])["html-content"], "text/html"); doc.documentElement.style.height = "100%"; - doc.body.style.height = "100%"; + doc.body.style.height = "95%"; const firstDiv = doc.body.querySelector("div"); - if (firstDiv) { - firstDiv.style.height = "100%"; - } + if (firstDiv) firstDiv.style.height = "100%"; const serializer = new XMLSerializer(); const newHtmlString = serializer.serializeToString(doc); diff --git a/core/gui/src/styles.scss b/core/gui/src/styles.scss index 545917056fc..d413e250da0 100644 --- a/core/gui/src/styles.scss +++ b/core/gui/src/styles.scss @@ -68,3 +68,7 @@ hr { .ant-collapse-content-box { padding: 0 !important; } + +.ant-tabs-tabpane { + padding-right: 24px; +}