From 131f3fa7d1f1a42be58de63ee54fecd20e6d9fbf Mon Sep 17 00:00:00 2001 From: ab Date: Thu, 1 Aug 2019 16:29:56 -0400 Subject: key words successfully extracted --- src/client/views/nodes/ImageBox.tsx | 13 +++++++++++++ 1 file changed, 13 insertions(+) (limited to 'src/client/views/nodes/ImageBox.tsx') diff --git a/src/client/views/nodes/ImageBox.tsx b/src/client/views/nodes/ImageBox.tsx index 9a0615d68..c12fae8e9 100644 --- a/src/client/views/nodes/ImageBox.tsx +++ b/src/client/views/nodes/ImageBox.tsx @@ -225,6 +225,7 @@ export class ImageBox extends DocComponent(ImageD let modes: ContextMenuProps[] = []; modes.push({ description: "Generate Tags", event: this.generateMetadata, icon: "tag" }); modes.push({ description: "Find Faces", event: this.extractFaces, icon: "camera" }); + modes.push({ description: "Recommend", event: this.extractText, icon: "brain" }); ContextMenu.Instance.addItem({ description: "Image Funcs...", subitems: funcs, icon: "asterisk" }); ContextMenu.Instance.addItem({ description: "Analyze...", subitems: modes, icon: "eye" }); @@ -240,6 +241,18 @@ export class ImageBox extends DocComponent(ImageD CognitiveServices.Image.Manager.analyzer(this.extensionDoc, ["faces"], this.url, Service.Face, converter); } + extractText = () => { + let data = StrCast(this.dataDoc.title); + console.log(data); + let converter = (results: any) => { + results.documents.forEach((doc: any) => { + console.log(doc.keyPhrases); + }); + return new Doc(); + }; + CognitiveServices.Text.Manager.analyzer(this.extensionDoc, ["key words", "key word strings"], data, converter); + } + generateMetadata = (threshold: Confidence = Confidence.Excellent) => { let converter = (results: any) => { let tagDoc = new Doc; -- cgit v1.2.3-70-g09d2 From 38317d4a3687e02a727693b569dfc5980db81854 Mon Sep 17 00:00:00 2001 From: ab Date: Mon, 5 Aug 2019 16:15:59 -0400 Subject: recommender --- package.json | 1 + src/client/cognitive_services/CognitiveServices.ts | 3 ++- src/client/util/Recommender.tsx | 22 ++++++++++++++++++++++ src/client/views/nodes/ImageBox.tsx | 8 +++++--- 4 files changed, 30 insertions(+), 4 deletions(-) create mode 100644 src/client/util/Recommender.tsx (limited to 'src/client/views/nodes/ImageBox.tsx') diff --git a/package.json b/package.json index d469f0c49..9012ff1f7 100644 --- a/package.json +++ b/package.json @@ -214,6 +214,7 @@ "typescript-collections": "^1.3.2", "url-loader": "^1.1.2", "uuid": "^3.3.2", + "word2vec": "^1.1.4", "xoauth2": "^1.2.0", "youtube": "^0.1.0" } diff --git a/src/client/cognitive_services/CognitiveServices.ts b/src/client/cognitive_services/CognitiveServices.ts index 8aac20084..6afd2571a 100644 --- a/src/client/cognitive_services/CognitiveServices.ts +++ b/src/client/cognitive_services/CognitiveServices.ts @@ -251,8 +251,9 @@ export namespace CognitiveServices { analyzer: async (target: Doc, keys: string[], data: string, converter: Converter) => { let results = await ExecuteQuery(Service.Text, Manager, data); console.log(results); - converter(results); + let keyterms = converter(results); //target[keys[0]] = Docs.Get.DocumentHierarchyFromJson(results, "Key Word Analysis"); + target[keys[0]] = keyterms; console.log("analyzed!"); return null; } diff --git a/src/client/util/Recommender.tsx b/src/client/util/Recommender.tsx new file mode 100644 index 000000000..88d0c85f5 --- /dev/null +++ b/src/client/util/Recommender.tsx @@ -0,0 +1,22 @@ +import React = require("react"); +import { observer } from "mobx-react"; +import { observable, runInAction } from "mobx"; +var w2v = require('word2vec'); + +@observer +export default class Recommender extends React.Component { + + /*** + * Converts text to n-dimensional vector using pretrained word2vec model + */ + text_to_vec(text: string) { + + } + + render() { + return ( +
Recommender System!!!
+ ) + } + +} \ No newline at end of file diff --git a/src/client/views/nodes/ImageBox.tsx b/src/client/views/nodes/ImageBox.tsx index c12fae8e9..7388b532c 100644 --- a/src/client/views/nodes/ImageBox.tsx +++ b/src/client/views/nodes/ImageBox.tsx @@ -245,12 +245,14 @@ export class ImageBox extends DocComponent(ImageD let data = StrCast(this.dataDoc.title); console.log(data); let converter = (results: any) => { + let keyterms = new List(); results.documents.forEach((doc: any) => { - console.log(doc.keyPhrases); + let keyPhrases = doc.keyPhrases; + keyPhrases.map((kp: string) => keyterms.push(kp)); }); - return new Doc(); + return keyterms; }; - CognitiveServices.Text.Manager.analyzer(this.extensionDoc, ["key words", "key word strings"], data, converter); + CognitiveServices.Text.Manager.analyzer(this.extensionDoc, ["key words"], data, converter); } generateMetadata = (threshold: Confidence = Confidence.Excellent) => { -- cgit v1.2.3-70-g09d2 From 06b59a4ec2f1871846696da22928fc7d54ae02d6 Mon Sep 17 00:00:00 2001 From: ab Date: Tue, 6 Aug 2019 16:01:57 -0400 Subject: word2vec is functional --- package.json | 8 +++++- src/client/cognitive_services/CognitiveServices.ts | 18 ++++++++++++- src/client/views/nodes/ImageBox.tsx | 8 ++++-- src/server/Recommender.ts | 30 ++++++++++++++++++---- src/server/index.ts | 19 ++++++++++---- webpack.config.js | 5 +++- 6 files changed, 73 insertions(+), 15 deletions(-) (limited to 'src/client/views/nodes/ImageBox.tsx') diff --git a/package.json b/package.json index 9012ff1f7..44d5287bd 100644 --- a/package.json +++ b/package.json @@ -3,6 +3,12 @@ "version": "1.0.0", "description": "", "main": "index.js", + "browser": { + "child_process": false + }, + "node": { + "child_process": "empty" + }, "scripts": { "start": "cross-env NODE_OPTIONS=--max_old_space_size=4096 ts-node-dev -- src/server/index.ts", "debug": "cross-env NODE_OPTIONS=--max_old_space_size=8192 ts-node-dev --inspect -- src/server/index.ts", @@ -218,4 +224,4 @@ "xoauth2": "^1.2.0", "youtube": "^0.1.0" } -} +} \ No newline at end of file diff --git a/src/client/cognitive_services/CognitiveServices.ts b/src/client/cognitive_services/CognitiveServices.ts index 6afd2571a..863236b60 100644 --- a/src/client/cognitive_services/CognitiveServices.ts +++ b/src/client/cognitive_services/CognitiveServices.ts @@ -6,6 +6,8 @@ import { RouteStore } from "../../server/RouteStore"; import { Utils } from "../../Utils"; import { InkData } from "../../new_fields/InkField"; import { UndoManager } from "../util/UndoManager"; +import requestPromise = require("request-promise"); +import { List } from "../../new_fields/List"; type APIManager = { converter: BodyConverter, requester: RequestExecutor, analyzer: AnalysisApplier }; type RequestExecutor = (apiKey: string, body: string, service: Service) => Promise; @@ -255,9 +257,23 @@ export namespace CognitiveServices { //target[keys[0]] = Docs.Get.DocumentHierarchyFromJson(results, "Key Word Analysis"); target[keys[0]] = keyterms; console.log("analyzed!"); + vectorize(keyterms); return null; - } + }, + + }; + function vectorize(keyterms: any) { + console.log("vectorizing..."); + keyterms = ["father", "king"]; + let args = { method: 'POST', uri: Utils.prepend("/recommender"), body: { keyphrases: keyterms }, json: true }; + requestPromise.post(args).then((value) => { + value.forEach((wordvec: any) => { + console.log(wordvec.word); + }); + }); + } + } } \ No newline at end of file diff --git a/src/client/views/nodes/ImageBox.tsx b/src/client/views/nodes/ImageBox.tsx index 7388b532c..161226c0d 100644 --- a/src/client/views/nodes/ImageBox.tsx +++ b/src/client/views/nodes/ImageBox.tsx @@ -1,5 +1,5 @@ import { library } from '@fortawesome/fontawesome-svg-core'; -import { faImage, faFileAudio, faPaintBrush, faAsterisk } from '@fortawesome/free-solid-svg-icons'; +import { faImage, faFileAudio, faPaintBrush, faAsterisk, faBrain } from '@fortawesome/free-solid-svg-icons'; import { action, observable, computed, runInAction } from 'mobx'; import { observer } from "mobx-react"; import Lightbox from 'react-image-lightbox'; @@ -31,12 +31,14 @@ import { faEye } from '@fortawesome/free-regular-svg-icons'; import { ComputedField } from '../../../new_fields/ScriptField'; import { CompileScript } from '../../util/Scripting'; import { thisExpression } from 'babel-types'; +import { Recommender } from '../../../server/Recommender'; +import requestPromise = require('request-promise'); var requestImageSize = require('../../util/request-image-size'); var path = require('path'); const { Howl } = require('howler'); -library.add(faImage, faEye, faPaintBrush); +library.add(faImage, faEye, faPaintBrush, faBrain); library.add(faFileAudio, faAsterisk); @@ -253,6 +255,8 @@ export class ImageBox extends DocComponent(ImageD return keyterms; }; CognitiveServices.Text.Manager.analyzer(this.extensionDoc, ["key words"], data, converter); + // request recommender + //fetch(Utils.prepend("/recommender"), { body: body, method: "POST", headers: { "content-type": "application/json" } }).then((value) => console.log(value)); } generateMetadata = (threshold: Confidence = Confidence.Excellent) => { diff --git a/src/server/Recommender.ts b/src/server/Recommender.ts index 6d9ca6486..3c71f3aa1 100644 --- a/src/server/Recommender.ts +++ b/src/server/Recommender.ts @@ -3,25 +3,27 @@ var w2v = require('word2vec'); export class Recommender { private _model: any; + static Instance: Recommender; constructor() { console.log("creating recommender..."); + Recommender.Instance = this; } - public loadModel(): Promise { + private loadModel(): Promise { let self = this; return new Promise(res => { w2v.loadModel("./node_modules/word2vec/vectors.txt", function (err: any, model: any) { - console.log(err); - console.log(model); self._model = model; - console.log(model.similarity('father', 'mother')); res(model); }); }); } - public testModel() { + public async testModel() { + if (!this._model) { + await this.loadModel(); + } if (this._model) { let similarity = this._model.similarity('father', 'mother'); console.log(similarity); @@ -30,4 +32,22 @@ export class Recommender { console.log("model not found :("); } } + + public async testInstance(text: string) { + if (!this._model) { + await this.loadModel(); + } + console.log(text); + } + + public async vectorize(text: string[]) { + if (!this._model) { + await this.loadModel(); + } + if (this._model) { + let word_vecs = this._model.getVectors(text); + console.log(word_vecs[0]); + return word_vecs; + } + } } diff --git a/src/server/index.ts b/src/server/index.ts index dda5a870a..67087fc1f 100644 --- a/src/server/index.ts +++ b/src/server/index.ts @@ -52,11 +52,6 @@ const probe = require("probe-image-size"); var SolrNode = require('solr-node'); var shell = require('shelljs'); -let recommender = new Recommender(); -recommender.loadModel().then(() => { - recommender.testModel(); -}); - const download = (url: string, dest: fs.PathLike) => request.get(url).pipe(fs.createWriteStream(dest)); let youtubeApiKey: string; YoutubeApi.readApiKey((apiKey: string) => youtubeApiKey = apiKey); @@ -651,6 +646,20 @@ app.use(RouteStore.corsProxy, (req, res) => { }).pipe(res); }); +//// + +let recommender = new Recommender(); +recommender.testModel(); + +app.post("/recommender", async (req, res) => { + let keyphrases = req.body.keyphrases; + let wordvecs = await recommender.vectorize(keyphrases); + res.send(wordvecs); +}); + + +///// + app.get(RouteStore.delete, (req, res) => { if (release) { res.send("no"); diff --git a/webpack.config.js b/webpack.config.js index 5e0a6a883..6a14dfcda 100644 --- a/webpack.config.js +++ b/webpack.config.js @@ -93,5 +93,8 @@ module.exports = { warnings: true, errors: true } - } + }, + externals: [ + 'child_process' + ] }; \ No newline at end of file -- cgit v1.2.3-70-g09d2 From 17b27d3575d3f91f461262e5ad72a457238d198a Mon Sep 17 00:00:00 2001 From: ab Date: Wed, 7 Aug 2019 16:28:51 -0400 Subject: correlation matrix completed --- package.json | 2 +- src/client/ClientRecommender.ts | 101 +++++++++++++++++++++ src/client/cognitive_services/CognitiveServices.ts | 22 +++-- src/client/views/MainView.tsx | 7 ++ .../collectionFreeForm/CollectionFreeFormView.tsx | 19 +++- src/client/views/nodes/ImageBox.tsx | 14 +-- src/server/Recommender.ts | 27 +++++- 7 files changed, 166 insertions(+), 26 deletions(-) create mode 100644 src/client/ClientRecommender.ts (limited to 'src/client/views/nodes/ImageBox.tsx') diff --git a/package.json b/package.json index 44d5287bd..ebb0c35a8 100644 --- a/package.json +++ b/package.json @@ -224,4 +224,4 @@ "xoauth2": "^1.2.0", "youtube": "^0.1.0" } -} \ No newline at end of file +} diff --git a/src/client/ClientRecommender.ts b/src/client/ClientRecommender.ts new file mode 100644 index 000000000..7ff79ab50 --- /dev/null +++ b/src/client/ClientRecommender.ts @@ -0,0 +1,101 @@ +import { Doc } from "../new_fields/Doc"; +import { StrCast } from "../new_fields/Types"; +import { List } from "../new_fields/List"; +import { CognitiveServices } from "./cognitive_services/CognitiveServices"; + + +var assert = require('assert'); + +export class ClientRecommender { + + static Instance: ClientRecommender; + private docVectors: Set; + + constructor() { + //console.log("creating client recommender..."); + ClientRecommender.Instance = this; + this.docVectors = new Set(); + } + + + /*** + * Computes the cosine similarity between two vectors in Euclidean space. + */ + + private distance(vector1: number[], vector2: number[]) { + assert(vector1.length === vector2.length, "Vectors are not the same length"); + var dotproduct = 0; + var mA = 0; + var mB = 0; + for (let i = 0; i < vector1.length; i++) { // here you missed the i++ + dotproduct += (vector1[i] * vector2[i]); + mA += (vector1[i] * vector1[i]); + mB += (vector2[i] * vector2[i]); + } + mA = Math.sqrt(mA); + mB = Math.sqrt(mB); + var similarity = (dotproduct) / ((mA) * (mB)); // here you needed extra brackets + return similarity; + } + + /*** + * Computes the mean of a set of vectors + */ + + public mean(paragraph: Set) { + const n = 200; + const num_words = paragraph.size; + let meanVector = new Array(n).fill(0); // mean vector + paragraph.forEach((wordvec: number[]) => { + for (let i = 0; i < n; i++) { + meanVector[i] += wordvec[i]; + } + }); + meanVector = meanVector.map(x => x / num_words); + this.addToDocSet(meanVector); + return meanVector; + } + + private addToDocSet(vector: number[]) { + if (this.docVectors) { + this.docVectors.add(vector); + } + } + + /*** + * Uses Cognitive Services to extract keywords from a document + */ + + public async extractText(dataDoc: Doc, extDoc: Doc) { + let data = StrCast(dataDoc.title); + //console.log(data); + let converter = (results: any) => { + let keyterms = new List(); + results.documents.forEach((doc: any) => { + let keyPhrases = doc.keyPhrases; + keyPhrases.map((kp: string) => keyterms.push(kp)); + }); + return keyterms; + }; + await CognitiveServices.Text.Manager.analyzer(extDoc, ["key words"], data, converter); + } + + /*** + * Creates distance matrix for all Documents analyzed + */ + + public createDistanceMatrix(documents: Set = this.docVectors) { + const documents_list = Array.from(documents); + const n = documents_list.length; + var matrix = new Array(n).fill(0).map(() => new Array(n).fill(0)); + for (let i = 0; i < n; i++) { + var doc1 = documents_list[i]; + for (let j = 0; j < n; j++) { + var doc2 = documents_list[j]; + matrix[i][j] = this.distance(doc1, doc2); + } + } + return matrix; + } + +} \ No newline at end of file diff --git a/src/client/cognitive_services/CognitiveServices.ts b/src/client/cognitive_services/CognitiveServices.ts index 863236b60..cc366abc2 100644 --- a/src/client/cognitive_services/CognitiveServices.ts +++ b/src/client/cognitive_services/CognitiveServices.ts @@ -8,6 +8,7 @@ import { InkData } from "../../new_fields/InkField"; import { UndoManager } from "../util/UndoManager"; import requestPromise = require("request-promise"); import { List } from "../../new_fields/List"; +import { ClientRecommender } from "../ClientRecommender"; type APIManager = { converter: BodyConverter, requester: RequestExecutor, analyzer: AnalysisApplier }; type RequestExecutor = (apiKey: string, body: string, service: Service) => Promise; @@ -257,20 +258,21 @@ export namespace CognitiveServices { //target[keys[0]] = Docs.Get.DocumentHierarchyFromJson(results, "Key Word Analysis"); target[keys[0]] = keyterms; console.log("analyzed!"); - vectorize(keyterms); - return null; - }, - - + await vectorize(keyterms); + } }; - function vectorize(keyterms: any) { + async function vectorize(keyterms: any) { console.log("vectorizing..."); - keyterms = ["father", "king"]; + //keyterms = ["father", "king"]; let args = { method: 'POST', uri: Utils.prepend("/recommender"), body: { keyphrases: keyterms }, json: true }; - requestPromise.post(args).then((value) => { - value.forEach((wordvec: any) => { - console.log(wordvec.word); + await requestPromise.post(args).then(async (wordvecs) => { + var vectorValues = new Set(); + wordvecs.forEach((wordvec: any) => { + //console.log(wordvec.word); + vectorValues.add(wordvec.values as number[]); }); + ClientRecommender.Instance.mean(vectorValues); + //console.log(vectorValues.size); }); } diff --git a/src/client/views/MainView.tsx b/src/client/views/MainView.tsx index 2ecf5fd85..97964166a 100644 --- a/src/client/views/MainView.tsx +++ b/src/client/views/MainView.tsx @@ -39,6 +39,7 @@ import { FilterBox } from './search/FilterBox'; import { CollectionTreeView } from './collections/CollectionTreeView'; import { ClientUtils } from '../util/ClientUtils'; import { SchemaHeaderField, RandomPastel } from '../../new_fields/SchemaHeaderField'; +//import { DocumentManager } from '../util/DocumentManager'; @observer export class MainView extends React.Component { @@ -435,6 +436,12 @@ export class MainView extends React.Component { ; } + // clusterDocuments = () => { + // DocumentManager.Instance.DocumentViews(); + // } + + + @action diff --git a/src/client/views/collections/collectionFreeForm/CollectionFreeFormView.tsx b/src/client/views/collections/collectionFreeForm/CollectionFreeFormView.tsx index 29f9b1429..9344b43d2 100644 --- a/src/client/views/collections/collectionFreeForm/CollectionFreeFormView.tsx +++ b/src/client/views/collections/collectionFreeForm/CollectionFreeFormView.tsx @@ -1,6 +1,6 @@ import { library } from "@fortawesome/fontawesome-svg-core"; import { faEye } from "@fortawesome/free-regular-svg-icons"; -import { faCompass, faCompressArrowsAlt, faExpandArrowsAlt, faPaintBrush, faTable, faUpload } from "@fortawesome/free-solid-svg-icons"; +import { faCompass, faCompressArrowsAlt, faExpandArrowsAlt, faPaintBrush, faTable, faUpload, faBrain } from "@fortawesome/free-solid-svg-icons"; import { action, computed } from "mobx"; import { observer } from "mobx-react"; import { Doc, DocListCastAsync, HeightSym, WidthSym } from "../../../../new_fields/Doc"; @@ -37,8 +37,9 @@ import "./CollectionFreeFormView.scss"; import { MarqueeView } from "./MarqueeView"; import React = require("react"); import v5 = require("uuid/v5"); +import { ClientRecommender } from "../../../ClientRecommender"; -library.add(faEye, faTable, faPaintBrush, faExpandArrowsAlt, faCompressArrowsAlt, faCompass, faUpload); +library.add(faEye, faTable, faPaintBrush, faExpandArrowsAlt, faCompressArrowsAlt, faCompass, faUpload, faBrain); export const panZoomSchema = createSchema({ panX: "number", @@ -596,6 +597,20 @@ export class CollectionFreeFormView extends CollectionSubView(PanZoomDocument) { input.click(); } }); + ContextMenu.Instance.addItem({ + description: "Recommender System", + event: async () => { + new ClientRecommender(); + let activedocs = this.getActiveDocuments(); + await Promise.all(activedocs.map((doc: Doc) => { + console.log(StrCast(doc.title)); + const extdoc = doc.data_ext as Doc; + return ClientRecommender.Instance.extractText(doc, extdoc ? extdoc : doc); + })); + console.log(ClientRecommender.Instance.createDistanceMatrix()); + }, + icon: "brain" + }); } diff --git a/src/client/views/nodes/ImageBox.tsx b/src/client/views/nodes/ImageBox.tsx index 161226c0d..660772c0e 100644 --- a/src/client/views/nodes/ImageBox.tsx +++ b/src/client/views/nodes/ImageBox.tsx @@ -31,7 +31,7 @@ import { faEye } from '@fortawesome/free-regular-svg-icons'; import { ComputedField } from '../../../new_fields/ScriptField'; import { CompileScript } from '../../util/Scripting'; import { thisExpression } from 'babel-types'; -import { Recommender } from '../../../server/Recommender'; +//import { Recommender } from '../../../server/Recommender'; import requestPromise = require('request-promise'); var requestImageSize = require('../../util/request-image-size'); var path = require('path'); @@ -244,17 +244,7 @@ export class ImageBox extends DocComponent(ImageD } extractText = () => { - let data = StrCast(this.dataDoc.title); - console.log(data); - let converter = (results: any) => { - let keyterms = new List(); - results.documents.forEach((doc: any) => { - let keyPhrases = doc.keyPhrases; - keyPhrases.map((kp: string) => keyterms.push(kp)); - }); - return keyterms; - }; - CognitiveServices.Text.Manager.analyzer(this.extensionDoc, ["key words"], data, converter); + //Recommender.Instance.extractText(this.dataDoc, this.extensionDoc); // request recommender //fetch(Utils.prepend("/recommender"), { body: body, method: "POST", headers: { "content-type": "application/json" } }).then((value) => console.log(value)); } diff --git a/src/server/Recommender.ts b/src/server/Recommender.ts index 3c71f3aa1..ea59703c3 100644 --- a/src/server/Recommender.ts +++ b/src/server/Recommender.ts @@ -1,4 +1,10 @@ +//import { Doc } from "../new_fields/Doc"; +//import { StrCast } from "../new_fields/Types"; +//import { List } from "../new_fields/List"; +//import { CognitiveServices } from "../client/cognitive_services/CognitiveServices"; + var w2v = require('word2vec'); +var assert = require('assert'); export class Recommender { @@ -10,6 +16,10 @@ export class Recommender { Recommender.Instance = this; } + /*** + * Loads pre-trained model from word2vec + */ + private loadModel(): Promise { let self = this; return new Promise(res => { @@ -20,6 +30,10 @@ export class Recommender { }); } + /*** + * Testing + */ + public async testModel() { if (!this._model) { await this.loadModel(); @@ -33,6 +47,10 @@ export class Recommender { } } + /*** + * Tests if instance exists + */ + public async testInstance(text: string) { if (!this._model) { await this.loadModel(); @@ -40,14 +58,21 @@ export class Recommender { console.log(text); } + /*** + * Uses model to convert words to vectors + */ + public async vectorize(text: string[]) { if (!this._model) { await this.loadModel(); } if (this._model) { let word_vecs = this._model.getVectors(text); - console.log(word_vecs[0]); return word_vecs; } } + + + + } -- cgit v1.2.3-70-g09d2 From e03a1b2cc90e0fdb7789f4826e482e9040aa7075 Mon Sep 17 00:00:00 2001 From: ab Date: Tue, 13 Aug 2019 17:26:49 -0400 Subject: 80% done, garbage collection is much needed --- src/Recommendations.scss | 21 --- src/Recommendations.tsx | 28 ---- src/client/util/SearchUtil.ts | 7 +- src/client/views/MainView.tsx | 2 + src/client/views/Recommendations.scss | 65 ++++++++ src/client/views/Recommendations.tsx | 169 +++++++++++++++++++++ .../collectionFreeForm/CollectionFreeFormView.tsx | 13 +- src/client/views/nodes/DocumentView.tsx | 34 ++++- src/client/views/nodes/ImageBox.tsx | 21 ++- 9 files changed, 297 insertions(+), 63 deletions(-) delete mode 100644 src/Recommendations.scss delete mode 100644 src/Recommendations.tsx create mode 100644 src/client/views/Recommendations.scss create mode 100644 src/client/views/Recommendations.tsx (limited to 'src/client/views/nodes/ImageBox.tsx') diff --git a/src/Recommendations.scss b/src/Recommendations.scss deleted file mode 100644 index 5129a59d9..000000000 --- a/src/Recommendations.scss +++ /dev/null @@ -1,21 +0,0 @@ -.recommendation-content *{ - display: inline-block; - margin: auto; - border: 1px dashed grey; - padding: 2px 2px; -} - -.recommendation-content { - float: left; - border: 1px solid green; - width: 200px; - align-content: center; -} - -.rec-scroll { - overflow-y: scroll; - height: 300px; - width: auto; - position: absolute; - background: #cdcdcd; -} \ No newline at end of file diff --git a/src/Recommendations.tsx b/src/Recommendations.tsx deleted file mode 100644 index ca1123ef9..000000000 --- a/src/Recommendations.tsx +++ /dev/null @@ -1,28 +0,0 @@ -import { observer } from "mobx-react"; -import React = require("react"); -import { Doc } from "./new_fields/Doc"; -import { NumCast } from "./new_fields/Types"; - -export interface RecProps { - documents: { preview: string, similarity: number }[], - node: Doc; -} - -@observer -export class Recommendations extends React.Component { - render() { - const transform = "translate(" + (NumCast(this.props.node.x) + 350) + "px, " + NumCast(this.props.node.y) + "px" - return ( -
- {this.props.documents.map(doc => { - return ( -
- -
{doc.similarity}
-
- ) - })} -
- ) - } -} \ No newline at end of file diff --git a/src/client/util/SearchUtil.ts b/src/client/util/SearchUtil.ts index 1fce995d7..85e593529 100644 --- a/src/client/util/SearchUtil.ts +++ b/src/client/util/SearchUtil.ts @@ -81,12 +81,13 @@ export namespace SearchUtil { export async function GetAllDocs() { const query = "*"; let response = await rp.get(Utils.prepend('/search'), { - qs: { - q: query - } + qs: + { start: 0, rows: 10000, q: query }, + }); let result: IdSearchResult = JSON.parse(response); const { ids, numFound, highlighting } = result; + console.log(ids.length); const docMap = await DocServer.GetRefFields(ids); const docs: Doc[] = []; for (const id of ids) { diff --git a/src/client/views/MainView.tsx b/src/client/views/MainView.tsx index 419b15697..0b6fe3876 100644 --- a/src/client/views/MainView.tsx +++ b/src/client/views/MainView.tsx @@ -41,6 +41,7 @@ import { ClientUtils } from '../util/ClientUtils'; import { SchemaHeaderField, RandomPastel } from '../../new_fields/SchemaHeaderField'; //import { DocumentManager } from '../util/DocumentManager'; import { DictationManager } from '../util/DictationManager'; +import { Recommendations } from './Recommendations'; @observer export class MainView extends React.Component { @@ -581,6 +582,7 @@ export class MainView extends React.Component { {this.mainContent} + {this.nodesMenu()} {this.miscButtons} diff --git a/src/client/views/Recommendations.scss b/src/client/views/Recommendations.scss new file mode 100644 index 000000000..5d8f17e37 --- /dev/null +++ b/src/client/views/Recommendations.scss @@ -0,0 +1,65 @@ +@import "globalCssVariables"; + +.rec-content *{ + display: inline-block; + margin: auto; + width: 50; + height: 30px; + border: 1px dashed grey; + padding: 10px 10px; +} + +.rec-content { + float: left; + width: inherit; + align-content: center; +} + +.rec-scroll { + overflow-y: scroll; + overflow-x: hidden; + position: absolute; + // display: flex; + z-index: 10000; + box-shadow: gray 0.2vw 0.2vw 0.4vw; + // flex-direction: column; + background: whitesmoke; + padding-bottom: 10px; + border-radius: 15px; + border: solid #BBBBBBBB 1px; + width: 200px; + text-align: center; + max-height: 250px; + text-transform: uppercase; + color: grey; + letter-spacing: 2px; +} + +.content { + padding: 10px; + display: flex; + flex-direction: row; + align-items: center; + justify-content: center; +} + +.image-background { + pointer-events: none; + background-color: transparent; + width: 50%; + text-align: center; + height: 35px; + margin-left: 5px; +} + +img{ + width: 100%; + height: 100%; +} + +.score { + // margin-left: 15px; + width: 50%; + height: 100%; + text-align: center; +} diff --git a/src/client/views/Recommendations.tsx b/src/client/views/Recommendations.tsx new file mode 100644 index 000000000..8569996b3 --- /dev/null +++ b/src/client/views/Recommendations.tsx @@ -0,0 +1,169 @@ +import { observer } from "mobx-react"; +import React = require("react"); +import { observable, action } from "mobx"; +import Measure from "react-measure"; +import "./Recommendations.scss"; +import { Doc, DocListCast, WidthSym, HeightSym } from "../../new_fields/Doc"; +import { DocumentIcon } from "./nodes/DocumentIcon"; +import { StrCast, NumCast } from "../../new_fields/Types"; +import { returnFalse, emptyFunction, returnEmptyString, returnOne } from "../../Utils"; +import { Transform } from "../util/Transform"; +import { ObjectField } from "../../new_fields/ObjectField"; +import { DocumentView } from "./nodes/DocumentView"; +import { DocumentType } from "../documents/Documents"; + + +export interface RecProps { + documents: { preview: Doc, similarity: number }[]; + node: Doc; +} + +@observer +export class Recommendations extends React.Component<{}> { + + static Instance: Recommendations; + @observable private _display: boolean = false; + @observable private _pageX: number = 0; + @observable private _pageY: number = 0; + @observable private _width: number = 0; + @observable private _height: number = 0; + @observable private _documents: { preview: Doc, score: number }[] = []; + + constructor(props: {}) { + super(props); + Recommendations.Instance = this; + } + + private DocumentIcon(doc: Doc) { + let layoutresult = StrCast(doc.type); + let renderDoc = doc; + //let box: number[] = []; + if (layoutresult.indexOf(DocumentType.COL) !== -1) { + renderDoc = Doc.MakeDelegate(renderDoc); + let bounds = DocListCast(renderDoc.data).reduce((bounds, doc) => { + var [sptX, sptY] = [NumCast(doc.x), NumCast(doc.y)]; + let [bptX, bptY] = [sptX + doc[WidthSym](), sptY + doc[HeightSym]()]; + return { + x: Math.min(sptX, bounds.x), y: Math.min(sptY, bounds.y), + r: Math.max(bptX, bounds.r), b: Math.max(bptY, bounds.b) + }; + }, { x: Number.MAX_VALUE, y: Number.MAX_VALUE, r: Number.MIN_VALUE, b: Number.MIN_VALUE }); + } + let returnXDimension = () => 50; + let returnYDimension = () => 50; + let scale = () => returnXDimension() / NumCast(renderDoc.nativeWidth, returnXDimension()); + let newRenderDoc = Doc.MakeDelegate(renderDoc); /// newRenderDoc -> renderDoc -> render"data"Doc -> TextProt + const docview =
+ {/* onPointerDown={action(() => { + this._useIcons = !this._useIcons; + this._displayDim = this._useIcons ? 50 : Number(SEARCH_THUMBNAIL_SIZE); + })} + onPointerEnter={action(() => this._displayDim = this._useIcons ? 50 : Number(SEARCH_THUMBNAIL_SIZE))} + onPointerLeave={action(() => this._displayDim = 50)} > */} + +
; + const data = renderDoc.data; + if (data instanceof ObjectField) newRenderDoc.data = ObjectField.MakeCopy(data); + newRenderDoc.preview = true; + return docview; + + } + + @action + closeMenu = () => { + this._display = false; + } + + @action + resetDocuments = () => { + this._documents = []; + } + + @action + addDocuments = (documents: { preview: Doc, score: number }[]) => { + this._documents = documents; + } + + @action + displayRecommendations(x: number, y: number) { + this._pageX = x; + this._pageY = y; + this._display = true; + } + + static readonly buffer = 20; + + get pageX() { + const x = this._pageX; + if (x < 0) { + return 0; + } + const width = this._width; + if (x + width > window.innerWidth - Recommendations.buffer) { + return window.innerWidth - Recommendations.buffer - width; + } + return x; + } + + get pageY() { + const y = this._pageY; + if (y < 0) { + return 0; + } + const height = this._height; + if (y + height > window.innerHeight - Recommendations.buffer) { + return window.innerHeight - Recommendations.buffer - height; + } + return y; + } + + render() { + if (!this._display) { + return null; + } + let style = { left: this.pageX, top: this.pageY }; + //const transform = "translate(" + (NumCast(this.props.node.x) + 350) + "px, " + NumCast(this.props.node.y) + "px" + return ( + { this._width = r.offset.width; this._height = r.offset.height; })}> + {({ measureRef }) => ( +
+

Recommendations

+ {this._documents.map(doc => { + return ( +
+ + {this.DocumentIcon(doc.preview)} + + {doc.score} +
+ ); + })} + +
+ ) + } + + + ); + } +} \ No newline at end of file diff --git a/src/client/views/collections/collectionFreeForm/CollectionFreeFormView.tsx b/src/client/views/collections/collectionFreeForm/CollectionFreeFormView.tsx index d1e8031fd..50f7e2dc8 100644 --- a/src/client/views/collections/collectionFreeForm/CollectionFreeFormView.tsx +++ b/src/client/views/collections/collectionFreeForm/CollectionFreeFormView.tsx @@ -896,10 +896,13 @@ export class CollectionFreeFormView extends CollectionSubView(PanZoomDocument) { allDocs.forEach(doc => console.log(doc.title)); // clears internal representation of documents as vectors ClientRecommender.Instance.reset_docs(); - await Promise.all(activedocs.map((doc: Doc) => { - //console.log(StrCast(doc.title)); - const extdoc = doc.data_ext as Doc; - return ClientRecommender.Instance.extractText(doc, extdoc ? extdoc : doc); + await Promise.all(allDocs.map((doc: Doc) => { + console.log(StrCast(doc.title)); + if (doc.type === DocumentType.IMG) { + console.log(doc.title); + const extdoc = doc.data_ext as Doc; + return ClientRecommender.Instance.extractText(doc, extdoc ? extdoc : doc); + } })); console.log(ClientRecommender.Instance.createDistanceMatrix()); }, @@ -1013,7 +1016,7 @@ class CollectionFreeFormViewPannableContents extends React.Component otherwise, reactions won't fire return
{this.props.children} - + {/* */}
; } } \ No newline at end of file diff --git a/src/client/views/nodes/DocumentView.tsx b/src/client/views/nodes/DocumentView.tsx index 24bcc0217..3ce4dbd4f 100644 --- a/src/client/views/nodes/DocumentView.tsx +++ b/src/client/views/nodes/DocumentView.tsx @@ -40,9 +40,13 @@ import React = require("react"); import { DictationManager } from '../../util/DictationManager'; import { MainView } from '../MainView'; import requestPromise = require('request-promise'); -import { Recommendations } from '../../../Recommendations'; +import { Recommendations } from '../Recommendations'; +import { SearchUtil } from '../../util/SearchUtil'; +import { ClientRecommender } from '../../ClientRecommender'; +import { DocumentType } from '../../documents/Documents'; const JsxParser = require('react-jsx-parser').default; //TODO Why does this need to be imported like this? +library.add(fa.faBrain); library.add(fa.faTrash); library.add(fa.faShare); library.add(fa.faDownload); @@ -610,6 +614,33 @@ export class DocumentView extends DocComponent(Docu a.click(); } }); + cm.addItem({ + description: "Recommender System", + event: async () => { + if (!ClientRecommender.Instance) new ClientRecommender({ title: "Client Recommender" }); + let documents: Doc[] = []; + let allDocs = await SearchUtil.GetAllDocs(); + allDocs.forEach(doc => console.log(doc.title)); + // clears internal representation of documents as vectors + ClientRecommender.Instance.reset_docs(); + await Promise.all(allDocs.map((doc: Doc) => { + if (doc.type === DocumentType.IMG) { + console.log(StrCast(doc.title)); + documents.push(doc); + const extdoc = doc.data_ext as Doc; + return ClientRecommender.Instance.extractText(doc, extdoc ? extdoc : doc); + } + })); + console.log(ClientRecommender.Instance.createDistanceMatrix()); + let recDocs: { preview: Doc, score: number }[] = []; + for (let i = 0; i < documents.length; i++) { + recDocs.push({ preview: documents[i], score: i }); + } + Recommendations.Instance.addDocuments(recDocs); + Recommendations.Instance.displayRecommendations(e.pageX + 100, e.pageY); + }, + icon: "brain" + }); cm.addItem({ description: "Delete", event: this.deleteClicked, icon: "trash" }); type User = { email: string, userDocumentId: string }; let usersMenu: ContextMenuProps[] = []; @@ -758,7 +789,6 @@ export class DocumentView extends DocComponent(Docu } - ); } diff --git a/src/client/views/nodes/ImageBox.tsx b/src/client/views/nodes/ImageBox.tsx index 73b892e26..45d389ba6 100644 --- a/src/client/views/nodes/ImageBox.tsx +++ b/src/client/views/nodes/ImageBox.tsx @@ -28,6 +28,9 @@ import FaceRectangles from './FaceRectangles'; import { FieldView, FieldViewProps } from './FieldView'; import "./ImageBox.scss"; import React = require("react"); +import { SearchUtil } from '../../util/SearchUtil'; +import { ClientRecommender } from '../../ClientRecommender'; +import { DocumentType } from '../../documents/Documents'; var requestImageSize = require('../../util/request-image-size'); var path = require('path'); const { Howl } = require('howler'); @@ -240,10 +243,20 @@ export class ImageBox extends DocComponent(ImageD } } - extractText = () => { - //Recommender.Instance.extractText(this.dataDoc, this.extensionDoc); - // request recommender - //fetch(Utils.prepend("/recommender"), { body: body, method: "POST", headers: { "content-type": "application/json" } }).then((value) => console.log(value)); + extractText = async () => { + //let activedocs = this.getActiveDocuments(); + let allDocs = await SearchUtil.GetAllDocs(); + allDocs.forEach(doc => console.log(doc.title)); + // clears internal representation of documents as vectors + ClientRecommender.Instance.reset_docs(); + await Promise.all(allDocs.map((doc: Doc) => { + //console.log(StrCast(doc.title)); + if (doc.type === DocumentType.IMG) { + const extdoc = doc.data_ext as Doc; + return ClientRecommender.Instance.extractText(doc, extdoc ? extdoc : doc); + } + })); + console.log(ClientRecommender.Instance.createDistanceMatrix()); } generateMetadata = (threshold: Confidence = Confidence.Excellent) => { -- cgit v1.2.3-70-g09d2 From e0bfe978e029268b3901b5d098f946b1a6fc7d0d Mon Sep 17 00:00:00 2001 From: ab Date: Thu, 29 Aug 2019 18:43:32 -0400 Subject: ui fixes, datadoc resolved --- src/client/ClientRecommender.tsx | 83 +++++++++++++++------- src/client/cognitive_services/CognitiveServices.ts | 24 ++++--- src/client/views/MainView.tsx | 1 + src/client/views/Recommendations.tsx | 21 ++++-- .../collectionFreeForm/CollectionFreeFormView.tsx | 21 ------ src/client/views/nodes/DocumentView.tsx | 26 ++++--- src/client/views/nodes/ImageBox.tsx | 16 ----- 7 files changed, 104 insertions(+), 88 deletions(-) (limited to 'src/client/views/nodes/ImageBox.tsx') diff --git a/src/client/ClientRecommender.tsx b/src/client/ClientRecommender.tsx index 63f85c737..a6d1a32b3 100644 --- a/src/client/ClientRecommender.tsx +++ b/src/client/ClientRecommender.tsx @@ -1,5 +1,5 @@ import { Doc } from "../new_fields/Doc"; -import { StrCast } from "../new_fields/Types"; +import { StrCast, Cast } from "../new_fields/Types"; import { List } from "../new_fields/List"; import { CognitiveServices } from "./cognitive_services/CognitiveServices"; import React = require("react"); @@ -8,30 +8,42 @@ import { observable, action, computed, reaction } from "mobx"; var assert = require('assert'); import "./ClientRecommender.scss"; import { JSXElement } from "babel-types"; +import { ToPlainText, RichTextField } from "../new_fields/RichTextField"; export interface RecommenderProps { title: string; } +export interface RecommenderDocument { + actualDoc: Doc; + vectorDoc: number[]; + score: number; +} + @observer export class ClientRecommender extends React.Component { static Instance: ClientRecommender; - private docVectors: Set; + private mainDoc?: RecommenderDocument; + private docVectors: Set = new Set(); @observable private corr_matrix = [[0, 0], [0, 0]]; constructor(props: RecommenderProps) { //console.log("creating client recommender..."); super(props); if (!ClientRecommender.Instance) ClientRecommender.Instance = this; - this.docVectors = new Set(); - //this.corr_matrix = [[0, 0], [0, 0]]; + ClientRecommender.Instance.docVectors = new Set(); + //ClientRecommender.Instance.corr_matrix = [[0, 0], [0, 0]]; } @action public reset_docs() { - this.docVectors = new Set(); - this.corr_matrix = [[0, 0], [0, 0]]; + ClientRecommender.Instance.docVectors = new Set(); + ClientRecommender.Instance.corr_matrix = [[0, 0], [0, 0]]; + } + + public deleteDocs() { + console.log("deleting previews..."); } /*** @@ -67,11 +79,24 @@ export class ClientRecommender extends React.Component { } } + public computeSimilarities() { + ClientRecommender.Instance.docVectors.forEach((doc: RecommenderDocument) => { + if (ClientRecommender.Instance.mainDoc) { + const distance = ClientRecommender.Instance.distance(ClientRecommender.Instance.mainDoc.vectorDoc, doc.vectorDoc, "euclidian"); + doc.score = distance; + } + } + ); + let doclist = Array.from(ClientRecommender.Instance.docVectors); + doclist.sort((a: RecommenderDocument, b: RecommenderDocument) => a.score - b.score); + return doclist; + } + /*** * Computes the mean of a set of vectors */ - public mean(paragraph: Set) { + public mean(paragraph: Set, dataDoc: Doc, mainDoc: boolean) { const n = 200; const num_words = paragraph.size; let meanVector = new Array(n).fill(0); // mean vector @@ -82,14 +107,16 @@ export class ClientRecommender extends React.Component { } }); meanVector = meanVector.map(x => x / num_words); - this.addToDocSet(meanVector); + const internalDoc: RecommenderDocument = { actualDoc: dataDoc, vectorDoc: meanVector, score: 0 }; + if (mainDoc) ClientRecommender.Instance.mainDoc = internalDoc; + ClientRecommender.Instance.addToDocSet(internalDoc); } return meanVector; } - private addToDocSet(vector: number[]) { - if (this.docVectors) { - this.docVectors.add(vector); + private addToDocSet(internalDoc: RecommenderDocument) { + if (ClientRecommender.Instance.docVectors) { + ClientRecommender.Instance.docVectors.add(internalDoc); } } @@ -97,9 +124,11 @@ export class ClientRecommender extends React.Component { * Uses Cognitive Services to extract keywords from a document */ - public async extractText(dataDoc: Doc, extDoc: Doc) { - let data = StrCast(dataDoc.title); - //console.log(data); + public async extractText(dataDoc: Doc, extDoc: Doc, mainDoc: boolean = false) { + let fielddata = Cast(dataDoc.data, RichTextField); + let data: string; + fielddata ? data = fielddata[ToPlainText]() : data = ""; + console.log(data); let converter = (results: any) => { let keyterms = new List(); results.documents.forEach((doc: any) => { @@ -108,7 +137,7 @@ export class ClientRecommender extends React.Component { }); return keyterms; }; - await CognitiveServices.Text.Appliers.analyzer(extDoc, ["key words"], data, converter); + await CognitiveServices.Text.Appliers.analyzer(dataDoc, extDoc, ["key words"], data, converter, mainDoc); } /*** @@ -116,7 +145,7 @@ export class ClientRecommender extends React.Component { */ @action - public createDistanceMatrix(documents: Set = this.docVectors) { + public createDistanceMatrix(documents: Set = ClientRecommender.Instance.docVectors) { const documents_list = Array.from(documents); const n = documents_list.length; var matrix = new Array(n).fill(0).map(() => new Array(n).fill(0)); @@ -124,22 +153,22 @@ export class ClientRecommender extends React.Component { var doc1 = documents_list[i]; for (let j = 0; j < n; j++) { var doc2 = documents_list[j]; - matrix[i][j] = this.distance(doc1, doc2, "euclidian"); + matrix[i][j] = ClientRecommender.Instance.distance(doc1.vectorDoc, doc2.vectorDoc, "euclidian"); } } - this.corr_matrix = matrix; + ClientRecommender.Instance.corr_matrix = matrix; return matrix; } @computed private get generateRows() { - const n = this.corr_matrix.length; + const n = ClientRecommender.Instance.corr_matrix.length; let rows: JSX.Element[] = []; for (let i = 0; i < n; i++) { let children: JSX.Element[] = []; for (let j = 0; j < n; j++) { - //let cell = React.createElement("td", this.corr_matrix[i][j]); - let cell = {this.corr_matrix[i][j].toFixed(4)}; + //let cell = React.createElement("td", ClientRecommender.Instance.corr_matrix[i][j]); + let cell = {ClientRecommender.Instance.corr_matrix[i][j].toFixed(4)}; children.push(cell); } //let row = React.createElement("tr", { children: children, key: i }); @@ -151,22 +180,22 @@ export class ClientRecommender extends React.Component { render() { return (
-

{this.props.title ? this.props.title : "hello"}

+

{ClientRecommender.Instance.props.title ? ClientRecommender.Instance.props.title : "hello"}

{/* - - + + - - + +
{this.corr_matrix[0][0].toFixed(4)}{this.corr_matrix[0][1].toFixed(4)}{ClientRecommender.Instance.corr_matrix[0][0].toFixed(4)}{ClientRecommender.Instance.corr_matrix[0][1].toFixed(4)}
{this.corr_matrix[1][0].toFixed(4)}{this.corr_matrix[1][1].toFixed(4)}{ClientRecommender.Instance.corr_matrix[1][0].toFixed(4)}{ClientRecommender.Instance.corr_matrix[1][1].toFixed(4)}
*/} - {this.generateRows} + {ClientRecommender.Instance.generateRows}
); diff --git a/src/client/cognitive_services/CognitiveServices.ts b/src/client/cognitive_services/CognitiveServices.ts index 75d0760ed..874ee433d 100644 --- a/src/client/cognitive_services/CognitiveServices.ts +++ b/src/client/cognitive_services/CognitiveServices.ts @@ -263,29 +263,35 @@ export namespace CognitiveServices { export namespace Appliers { - export async function vectorize(keyterms: any) { + export async function vectorize(keyterms: any, dataDoc: Doc, mainDoc: boolean = false) { console.log("vectorizing..."); //keyterms = ["father", "king"]; let args = { method: 'POST', uri: Utils.prepend("/recommender"), body: { keyphrases: keyterms }, json: true }; await requestPromise.post(args).then(async (wordvecs) => { - var vectorValues = new Set(); - wordvecs.forEach((wordvec: any) => { - //console.log(wordvec.word); - vectorValues.add(wordvec.values as number[]); - }); - ClientRecommender.Instance.mean(vectorValues); + if (wordvecs.length > 0) { + console.log("successful vectorization!"); + var vectorValues = new Set(); + wordvecs.forEach((wordvec: any) => { + //console.log(wordvec.word); + vectorValues.add(wordvec.values as number[]); + }); + ClientRecommender.Instance.mean(vectorValues, dataDoc, mainDoc); + } // adds document to internal doc set + else { + console.log("unsuccessful :( word(s) not in vocabulary"); + } //console.log(vectorValues.size); }); } - export const analyzer = async (target: Doc, keys: string[], data: string, converter: Converter) => { + export const analyzer = async (dataDoc: Doc, target: Doc, keys: string[], data: string, converter: Converter, mainDoc: boolean = false) => { let results = await ExecuteQuery(Service.Text, Manager, data); console.log(results); let keyterms = converter(results); //target[keys[0]] = Docs.Get.DocumentHierarchyFromJson(results, "Key Word Analysis"); target[keys[0]] = keyterms; console.log("analyzed!"); - await vectorize(keyterms); + await vectorize(keyterms, dataDoc, mainDoc); }; } diff --git a/src/client/views/MainView.tsx b/src/client/views/MainView.tsx index 57eb30439..3a5795077 100644 --- a/src/client/views/MainView.tsx +++ b/src/client/views/MainView.tsx @@ -204,6 +204,7 @@ export class MainView extends React.Component { const targets = document.elementsFromPoint(e.x, e.y); if (targets && targets.length && targets[0].className.toString().indexOf("contextMenu") === -1) { ContextMenu.Instance.closeMenu(); + Recommendations.Instance.closeMenu(); } }); diff --git a/src/client/views/Recommendations.tsx b/src/client/views/Recommendations.tsx index 8569996b3..cf1974c69 100644 --- a/src/client/views/Recommendations.tsx +++ b/src/client/views/Recommendations.tsx @@ -10,8 +10,10 @@ import { returnFalse, emptyFunction, returnEmptyString, returnOne } from "../../ import { Transform } from "../util/Transform"; import { ObjectField } from "../../new_fields/ObjectField"; import { DocumentView } from "./nodes/DocumentView"; -import { DocumentType } from "../documents/Documents"; - +import { DocumentType } from '../documents/DocumentTypes'; +import { ClientRecommender } from "../ClientRecommender"; +import { DocServer } from "../DocServer"; +import { Id } from "../../new_fields/FieldSymbols"; export interface RecProps { documents: { preview: Doc, similarity: number }[]; @@ -28,6 +30,7 @@ export class Recommendations extends React.Component<{}> { @observable private _width: number = 0; @observable private _height: number = 0; @observable private _documents: { preview: Doc, score: number }[] = []; + private previewDocs: Doc[] = []; constructor(props: {}) { super(props); @@ -52,7 +55,8 @@ export class Recommendations extends React.Component<{}> { let returnXDimension = () => 50; let returnYDimension = () => 50; let scale = () => returnXDimension() / NumCast(renderDoc.nativeWidth, returnXDimension()); - let newRenderDoc = Doc.MakeDelegate(renderDoc); /// newRenderDoc -> renderDoc -> render"data"Doc -> TextProt + //let scale = () => 1; + //let newRenderDoc = Doc.MakeDelegate(renderDoc); /// newRenderDoc -> renderDoc -> render"data"Doc -> TextProt const docview =
{/* onPointerDown={action(() => { this._useIcons = !this._useIcons; @@ -62,7 +66,7 @@ export class Recommendations extends React.Component<{}> { onPointerLeave={action(() => this._displayDim = 50)} > */} { ContentScaling={scale} />
; - const data = renderDoc.data; - if (data instanceof ObjectField) newRenderDoc.data = ObjectField.MakeCopy(data); - newRenderDoc.preview = true; + // const data = renderDoc.data; + // if (data instanceof ObjectField) newRenderDoc.data = ObjectField.MakeCopy(data); + // newRenderDoc.preview = true; + // this.previewDocs.push(newRenderDoc); return docview; } @@ -92,6 +97,8 @@ export class Recommendations extends React.Component<{}> { @action closeMenu = () => { this._display = false; + this.previewDocs.forEach(doc => DocServer.DeleteDocument(doc[Id])); + this.previewDocs = []; } @action diff --git a/src/client/views/collections/collectionFreeForm/CollectionFreeFormView.tsx b/src/client/views/collections/collectionFreeForm/CollectionFreeFormView.tsx index 2d4775070..3cef93383 100644 --- a/src/client/views/collections/collectionFreeForm/CollectionFreeFormView.tsx +++ b/src/client/views/collections/collectionFreeForm/CollectionFreeFormView.tsx @@ -857,27 +857,6 @@ export class CollectionFreeFormView extends CollectionSubView(PanZoomDocument) { input.click(); } }); - ContextMenu.Instance.addItem({ - description: "Recommender System", - event: async () => { - // if (!ClientRecommender.Instance) new ClientRecommender({ title: "Client Recommender" }); - let activedocs = this.getActiveDocuments(); - let allDocs = await SearchUtil.GetAllDocs(); - allDocs.forEach(doc => console.log(doc.title)); - // clears internal representation of documents as vectors - ClientRecommender.Instance.reset_docs(); - await Promise.all(allDocs.map((doc: Doc) => { - console.log(StrCast(doc.title)); - if (doc.type === DocumentType.IMG) { - console.log(doc.title); - const extdoc = doc.data_ext as Doc; - return ClientRecommender.Instance.extractText(doc, extdoc ? extdoc : doc); - } - })); - console.log(ClientRecommender.Instance.createDistanceMatrix()); - }, - icon: "brain" - }); layoutItems.push({ description: `${this.fitToBox ? "Unset" : "Set"} Fit To Container`, event: this.fitToContainer, icon: !this.fitToBox ? "expand-arrows-alt" : "compress-arrows-alt" }); layoutItems.push({ description: "reset view", event: () => { this.props.Document.panX = this.props.Document.panY = 0; this.props.Document.scale = 1; }, icon: "compress-arrows-alt" }); layoutItems.push({ diff --git a/src/client/views/nodes/DocumentView.tsx b/src/client/views/nodes/DocumentView.tsx index 2a6e91272..f708a7a3a 100644 --- a/src/client/views/nodes/DocumentView.tsx +++ b/src/client/views/nodes/DocumentView.tsx @@ -648,21 +648,31 @@ export class DocumentView extends DocComponent(Docu if (!ClientRecommender.Instance) new ClientRecommender({ title: "Client Recommender" }); let documents: Doc[] = []; let allDocs = await SearchUtil.GetAllDocs(); - allDocs.forEach(doc => console.log(doc.title)); + //allDocs.forEach(doc => console.log(doc.title)); // clears internal representation of documents as vectors ClientRecommender.Instance.reset_docs(); await Promise.all(allDocs.map((doc: Doc) => { - if (doc.type === DocumentType.IMG) { - console.log(StrCast(doc.title)); - documents.push(doc); - const extdoc = doc.data_ext as Doc; - return ClientRecommender.Instance.extractText(doc, extdoc ? extdoc : doc); + let mainDoc: boolean = false; + const dataDoc = Doc.GetDataDoc(doc); + if (doc.type === DocumentType.TEXT) { + if (dataDoc === Doc.GetDataDoc(this.props.Document)) { + mainDoc = true; + console.log(StrCast(doc.title)); + } + if (!documents.includes(dataDoc)) { + documents.push(dataDoc); + const extdoc = doc.data_ext as Doc; + return ClientRecommender.Instance.extractText(doc, extdoc ? extdoc : doc, mainDoc); + } } })); console.log(ClientRecommender.Instance.createDistanceMatrix()); + const doclist = ClientRecommender.Instance.computeSimilarities(); let recDocs: { preview: Doc, score: number }[] = []; - for (let i = 0; i < documents.length; i++) { - recDocs.push({ preview: documents[i], score: i }); + // tslint:disable-next-line: prefer-for-of + for (let i = 0; i < doclist.length; i++) { + console.log(doclist[i].score); + recDocs.push({ preview: doclist[i].actualDoc, score: doclist[i].score }); } Recommendations.Instance.addDocuments(recDocs); Recommendations.Instance.displayRecommendations(e.pageX + 100, e.pageY); diff --git a/src/client/views/nodes/ImageBox.tsx b/src/client/views/nodes/ImageBox.tsx index ec35465eb..d94e92847 100644 --- a/src/client/views/nodes/ImageBox.tsx +++ b/src/client/views/nodes/ImageBox.tsx @@ -240,22 +240,6 @@ export class ImageBox extends DocComponent(ImageD } } - extractText = async () => { - //let activedocs = this.getActiveDocuments(); - let allDocs = await SearchUtil.GetAllDocs(); - allDocs.forEach(doc => console.log(doc.title)); - // clears internal representation of documents as vectors - ClientRecommender.Instance.reset_docs(); - await Promise.all(allDocs.map((doc: Doc) => { - //console.log(StrCast(doc.title)); - if (doc.type === DocumentType.IMG) { - const extdoc = doc.data_ext as Doc; - return ClientRecommender.Instance.extractText(doc, extdoc ? extdoc : doc); - } - })); - console.log(ClientRecommender.Instance.createDistanceMatrix()); - } - generateMetadata = (threshold: Confidence = Confidence.Excellent) => { let converter = (results: any) => { let tagDoc = new Doc; -- cgit v1.2.3-70-g09d2 From c6e2eee8e5b035ed4cab1e7bb1315a36d43255c5 Mon Sep 17 00:00:00 2001 From: ab Date: Tue, 8 Oct 2019 16:02:25 -0400 Subject: switching out --- src/client/views/MainView.tsx | 1 - src/client/views/Recommendations.tsx | 2 +- .../collectionFreeForm/CollectionFreeFormView.tsx | 3 --- src/client/views/nodes/DocumentContentsView.tsx | 6 ------ src/client/views/nodes/DocumentView.tsx | 4 ++-- src/client/views/nodes/ImageBox.tsx | 1 - src/new_fields/RichTextField.ts | 17 ++++++++++++++++- 7 files changed, 19 insertions(+), 15 deletions(-) (limited to 'src/client/views/nodes/ImageBox.tsx') diff --git a/src/client/views/MainView.tsx b/src/client/views/MainView.tsx index 17de708a2..e6f500e75 100644 --- a/src/client/views/MainView.tsx +++ b/src/client/views/MainView.tsx @@ -41,7 +41,6 @@ import { FilterBox } from './search/FilterBox'; import { SchemaHeaderField, RandomPastel } from '../../new_fields/SchemaHeaderField'; //import { DocumentManager } from '../util/DocumentManager'; import { RecommendationsBox } from './Recommendations'; -import PresModeMenu from './presentationview/PresentationModeMenu'; import { PresBox } from './nodes/PresBox'; import { OverlayView } from './OverlayView'; diff --git a/src/client/views/Recommendations.tsx b/src/client/views/Recommendations.tsx index b7b1d84d0..c44dfc032 100644 --- a/src/client/views/Recommendations.tsx +++ b/src/client/views/Recommendations.tsx @@ -174,7 +174,7 @@ export class RecommendationsBox extends React.Component { {this.DocumentIcon(doc)} {NumCast(doc.score).toFixed(4)} -
DocumentManager.Instance.jumpToDocument(doc, true, undefined, undefined, undefined, this.props.Document.sourceDocContext as Doc)}> +
DocumentManager.Instance.jumpToDocument(doc, false)}>
DocUtils.MakeLink(this.props.Document.sourceDoc as Doc, doc, undefined, "User Selected Link", "Generated from Recommender", undefined)}> diff --git a/src/client/views/collections/collectionFreeForm/CollectionFreeFormView.tsx b/src/client/views/collections/collectionFreeForm/CollectionFreeFormView.tsx index 3ee069e4c..d2b8afa02 100644 --- a/src/client/views/collections/collectionFreeForm/CollectionFreeFormView.tsx +++ b/src/client/views/collections/collectionFreeForm/CollectionFreeFormView.tsx @@ -12,7 +12,6 @@ import { BoolCast, Cast, DateCast, NumCast, StrCast } from "../../../../new_fiel import { CurrentUserUtils } from "../../../../server/authentication/models/current_user_utils"; import { aggregateBounds, emptyFunction, intersectRect, returnEmptyString, returnOne, Utils } from "../../../../Utils"; import { CognitiveServices } from "../../../cognitive_services/CognitiveServices"; -import { DocServer } from "../../../DocServer"; import { Docs } from "../../../documents/Documents"; import { DocumentType } from "../../../documents/DocumentTypes"; import { DocumentManager } from "../../../util/DocumentManager"; @@ -28,7 +27,6 @@ import { InkingCanvas } from "../../InkingCanvas"; import { CollectionFreeFormDocumentView, positionSchema } from "../../nodes/CollectionFreeFormDocumentView"; import { DocumentContentsView } from "../../nodes/DocumentContentsView"; import { documentSchema, DocumentViewProps } from "../../nodes/DocumentView"; -import { FormattedTextBox } from "../../nodes/FormattedTextBox"; import { pageSchema } from "../../nodes/ImageBox"; import PDFMenu from "../../pdf/PDFMenu"; import { CollectionSubView } from "../CollectionSubView"; @@ -41,7 +39,6 @@ import React = require("react"); import v5 = require("uuid/v5"); import { ClientRecommender } from "../../../ClientRecommender"; import { SearchUtil } from "../../../util/SearchUtil"; -import { SearchBox } from "../../SearchBox"; import { RouteStore } from "../../../../server/RouteStore"; import { string, number, elementType } from "prop-types"; import { DocServer } from "../../../DocServer"; diff --git a/src/client/views/nodes/DocumentContentsView.tsx b/src/client/views/nodes/DocumentContentsView.tsx index e5eb8dbce..919c13055 100644 --- a/src/client/views/nodes/DocumentContentsView.tsx +++ b/src/client/views/nodes/DocumentContentsView.tsx @@ -2,8 +2,6 @@ import { computed } from "mobx"; import { observer } from "mobx-react"; import { Doc } from "../../../new_fields/Doc"; import { ScriptField } from "../../../new_fields/ScriptField"; -import { Cast } from "../../../new_fields/Types"; -import { OmitKeys, Without } from "../../../Utils"; import { HistogramBox } from "../../northstar/dash-nodes/HistogramBox"; import DirectoryImportBox from "../../util/Import & Export/DirectoryImportBox"; import { CollectionDockingView } from "../collections/CollectionDockingView"; @@ -30,14 +28,10 @@ import { PresElementBox } from "../presentationview/PresElementBox"; import { VideoBox } from "./VideoBox"; import { WebBox } from "./WebBox"; import React = require("react"); -import { FieldViewProps } from "./FieldView"; import { Without, OmitKeys } from "../../../Utils"; import { Cast, StrCast, NumCast } from "../../../new_fields/Types"; import { List } from "../../../new_fields/List"; -import { Doc } from "../../../new_fields/Doc"; -import DirectoryImportBox from "../../util/Import & Export/DirectoryImportBox"; import { RecommendationsBox } from "../../views/Recommendations"; -import { ScriptField } from "../../../new_fields/ScriptField"; const JsxParser = require('react-jsx-parser').default; //TODO Why does this need to be imported like this? type BindingProps = Without; diff --git a/src/client/views/nodes/DocumentView.tsx b/src/client/views/nodes/DocumentView.tsx index 0064b98c3..070b1f426 100644 --- a/src/client/views/nodes/DocumentView.tsx +++ b/src/client/views/nodes/DocumentView.tsx @@ -621,7 +621,7 @@ export class DocumentView extends DocComponent(Docu recommendations.documentIconHeight = 150; recommendations.sourceDoc = this.props.Document; recommendations.sourceDocContext = this.props.ContainingCollectionView!.props.Document; - CollectionDockingView.Instance.AddRightSplit(recommendations, undefined); + CollectionDockingView.AddRightSplit(recommendations, undefined); // RecommendationsBox.Instance.displayRecommendations(e.pageX + 100, e.pageY); } @@ -641,7 +641,7 @@ export class DocumentView extends DocComponent(Docu body.href = urls[i]; bodies.push(body); } - CollectionDockingView.Instance.AddRightSplit(Docs.Create.SchemaDocument(headers, bodies, { title: `Showing External Recommendations for "${StrCast(doc.title)}"` }), undefined); + CollectionDockingView.AddRightSplit(Docs.Create.SchemaDocument(headers, bodies, { title: `Showing External Recommendations for "${StrCast(doc.title)}"` }), undefined); } onPointerEnter = (e: React.PointerEvent): void => { Doc.BrushDoc(this.props.Document); }; diff --git a/src/client/views/nodes/ImageBox.tsx b/src/client/views/nodes/ImageBox.tsx index f36b9895f..7ffe64b9b 100644 --- a/src/client/views/nodes/ImageBox.tsx +++ b/src/client/views/nodes/ImageBox.tsx @@ -29,7 +29,6 @@ import "./ImageBox.scss"; import React = require("react"); import { SearchUtil } from '../../util/SearchUtil'; import { ClientRecommender } from '../../ClientRecommender'; -import { DocumentType } from '../../documents/Documents'; var requestImageSize = require('../../util/request-image-size'); var path = require('path'); const { Howl } = require('howler'); diff --git a/src/new_fields/RichTextField.ts b/src/new_fields/RichTextField.ts index 390045ee1..f41ea0350 100644 --- a/src/new_fields/RichTextField.ts +++ b/src/new_fields/RichTextField.ts @@ -4,6 +4,9 @@ import { Deserializable } from "../client/util/SerializationHelper"; import { Copy, ToScriptString, ToPlainText } from "./FieldSymbols"; import { scriptingGlobal } from "../client/util/Scripting"; +const delimiter = "\n"; +const joiner = ""; + @scriptingGlobal @Deserializable("RichTextField") export class RichTextField extends ObjectField { @@ -24,7 +27,19 @@ export class RichTextField extends ObjectField { } [ToPlainText]() { - return this.Data; + // Because we're working with plain text, just concatenate all paragraphs + let content = JSON.parse(this.Data).doc.content; + let paragraphs = content.filter((item: any) => item.type === "paragraph"); + + // Functions to flatten ProseMirror paragraph objects (and their components) to plain text + // While this function already exists in state.doc.textBeteen(), it doesn't account for newlines + let blockText = (block: any) => block.text; + let concatenateParagraph = (p: any) => (p.content ? p.content.map(blockText).join(joiner) : "") + delimiter; + + // Concatentate paragraphs and string the result together + let textParagraphs: string[] = paragraphs.map(concatenateParagraph); + let plainText = textParagraphs.join(joiner); + return plainText.substring(0, plainText.length - 1); } } \ No newline at end of file -- cgit v1.2.3-70-g09d2 From 3d5e2bf61e04fa700eccac10d19ea6dde436f6bd Mon Sep 17 00:00:00 2001 From: monikahedman Date: Thu, 31 Oct 2019 11:57:08 -0400 Subject: fixed depth problem --- src/client/ClientRecommender.tsx | 63 ++++++++++++++++++++++++++------ src/client/views/RecommendationsBox.tsx | 64 ++++++++++++++++----------------- src/client/views/nodes/ImageBox.tsx | 1 + 3 files changed, 83 insertions(+), 45 deletions(-) (limited to 'src/client/views/nodes/ImageBox.tsx') diff --git a/src/client/ClientRecommender.tsx b/src/client/ClientRecommender.tsx index 90dd240b6..364ec0fe0 100644 --- a/src/client/ClientRecommender.tsx +++ b/src/client/ClientRecommender.tsx @@ -1,7 +1,7 @@ import { Doc, FieldResult } from "../new_fields/Doc"; import { StrCast, Cast } from "../new_fields/Types"; import { List } from "../new_fields/List"; -import { CognitiveServices } from "./cognitive_services/CognitiveServices"; +import { CognitiveServices, Confidence, Tag, Service } from "./cognitive_services/CognitiveServices"; import React = require("react"); import { observer } from "mobx-react"; import { observable, action, computed, reaction } from "mobx"; @@ -14,6 +14,8 @@ import { RichTextField } from "../new_fields/RichTextField"; import { ToPlainText } from "../new_fields/FieldSymbols"; import { listSpec } from "../new_fields/Schema"; import { Identified } from "./Network"; +import { ComputedField } from "../new_fields/ScriptField"; +import { ImageField } from "../new_fields/URLField"; export interface RecommenderProps { title: string; @@ -31,9 +33,13 @@ export interface RecommenderDocument { score: number; } +const fieldkey = "data"; + @observer export class ClientRecommender extends React.Component { + + static Instance: ClientRecommender; private mainDoc?: RecommenderDocument; private docVectors: Set = new Set(); @@ -45,10 +51,6 @@ export class ClientRecommender extends React.Component { super(props); if (!ClientRecommender.Instance) ClientRecommender.Instance = this; ClientRecommender.Instance.docVectors = new Set(); - const parameters: any = {}; - Identified.PostToServer("/IBMAnalysis", parameters).then(response => { - console.log("ANALYSIS RESULTS! ", response); - }); //ClientRecommender.Instance.corr_matrix = [[0, 0], [0, 0]]; } @@ -97,6 +99,10 @@ export class ClientRecommender extends React.Component { */ public computeSimilarities(distance_metric: string) { + const parameters: any = {}; + Identified.PostToServer("/IBMAnalysis", parameters).then(response => { + console.log("ANALYSIS RESULTS! ", response); + }); ClientRecommender.Instance.docVectors.forEach((doc: RecommenderDocument) => { if (ClientRecommender.Instance.mainDoc) { const distance = ClientRecommender.Instance.distance(ClientRecommender.Instance.mainDoc.vectorDoc, doc.vectorDoc, distance_metric); @@ -147,6 +153,39 @@ export class ClientRecommender extends React.Component { } } + /*** + * Generates tags for an image using Cognitive Services + */ + + generateMetadata = async (dataDoc: Doc, extDoc: Doc, threshold: Confidence = Confidence.Excellent) => { + let converter = (results: any) => { + let tagDoc = new Doc; + let tagsList = new List(); + results.tags.map((tag: Tag) => { + tagsList.push(tag.name); + let sanitized = tag.name.replace(" ", "_"); + tagDoc[sanitized] = ComputedField.MakeFunction(`(${tag.confidence} >= this.confidence) ? ${tag.confidence} : "${ComputedField.undefined}"`); + }); + extDoc.generatedTags = tagsList; + tagDoc.title = "Generated Tags Doc"; + tagDoc.confidence = threshold; + return tagDoc; + }; + const url = this.url(dataDoc); + if (url) { + return CognitiveServices.Image.Appliers.ProcessImage(extDoc, ["generatedTagsDoc"], url, Service.ComputerVision, converter); + } + } + + /*** + * Gets URL of image + */ + + private url(dataDoc: Doc) { + let data = Cast(Doc.GetProto(dataDoc)[fieldkey], ImageField); + return data ? data.url.href : undefined; + } + /*** * Uses Cognitive Services to extract keywords from a document */ @@ -154,17 +193,19 @@ export class ClientRecommender extends React.Component { public async extractText(dataDoc: Doc, extDoc: Doc, internal: boolean = true, isMainDoc: boolean = false, image: boolean = false) { let data: string = ""; let taglist: FieldResult> = undefined; - if (image && extDoc.generatedTags) { // TODO: Automatically generate tags. Need to ask Sam about this. - taglist = Cast(extDoc.generatedTags, listSpec("string")); - taglist!.forEach(tag => { - data += tag + ", "; - }); + if (image) { + if (!extDoc.generatedTags) await this.generateMetadata(dataDoc, extDoc); // TODO: Automatically generate tags. Need to ask Sam about this. + if (extDoc.generatedTags) { + taglist = Cast(extDoc.generatedTags, listSpec("string")); + taglist!.forEach(tag => { + data += tag + ", "; + }); + } } else { let fielddata = Cast(dataDoc.data, RichTextField); fielddata ? data = fielddata[ToPlainText]() : data = ""; } - let converter = async (results: any, data: string, isImage: boolean = false) => { let keyterms = new List(); // raw keywords // let keyterms_counted = new List(); // keywords, where each keyword is repeated. input to w2v diff --git a/src/client/views/RecommendationsBox.tsx b/src/client/views/RecommendationsBox.tsx index fd128bfca..0e3cfd729 100644 --- a/src/client/views/RecommendationsBox.tsx +++ b/src/client/views/RecommendationsBox.tsx @@ -1,6 +1,6 @@ import { observer } from "mobx-react"; import React = require("react"); -import { observable, action, computed } from "mobx"; +import { observable, action, computed, runInAction } from "mobx"; import Measure from "react-measure"; import "./RecommendationsBox.scss"; import { Doc, DocListCast, WidthSym, HeightSym } from "../../new_fields/Doc"; @@ -38,7 +38,7 @@ export class RecommendationsBox extends React.Component { @observable private _pageY: number = 0; @observable private _width: number = 0; @observable private _height: number = 0; - private _docViews: JSX.Element[] = []; + @observable.shallow private _docViews: JSX.Element[] = []; // @observable private _documents: { preview: Doc, score: number }[] = []; private previewDocs: Doc[] = []; @@ -46,20 +46,13 @@ export class RecommendationsBox extends React.Component { super(props); } + @action private DocumentIcon(doc: Doc) { let layoutresult = StrCast(doc.type); let renderDoc = doc; //let box: number[] = []; if (layoutresult.indexOf(DocumentType.COL) !== -1) { renderDoc = Doc.MakeDelegate(renderDoc); - let bounds = DocListCast(renderDoc.data).reduce((bounds, doc) => { - var [sptX, sptY] = [NumCast(doc.x), NumCast(doc.y)]; - let [bptX, bptY] = [sptX + doc[WidthSym](), sptY + doc[HeightSym]()]; - return { - x: Math.min(sptX, bounds.x), y: Math.min(sptY, bounds.y), - r: Math.max(bptX, bounds.r), b: Math.max(bptY, bounds.b) - }; - }, { x: Number.MAX_VALUE, y: Number.MAX_VALUE, r: Number.MIN_VALUE, b: Number.MIN_VALUE }); } let returnXDimension = () => 150; let returnYDimension = () => 150; @@ -142,27 +135,8 @@ export class RecommendationsBox extends React.Component { // return y; // } - get createDocViews() { - return DocListCast(this.props.Document.data).map(doc => { - return ( -
- - {this.DocumentIcon(doc)} - - {NumCast(doc.score).toFixed(4)} -
DocumentManager.Instance.jumpToDocument(doc, false)}> - -
-
DocUtils.MakeLink({ doc: this.props.Document.sourceDoc as Doc }, { doc: doc }, "User Selected Link", "Generated from Recommender", undefined)}> - -
-
- ); - }); - } - - // componentDidMount() { - // this._docViews = DocListCast(this.props.Document.data).map(doc => { + // get createDocViews() { + // return DocListCast(this.props.Document.data).map(doc => { // return ( //
// @@ -177,10 +151,32 @@ export class RecommendationsBox extends React.Component { //
//
// ); - // }) - + // }); // } + componentDidMount() { //TODO: invoking a computedFn from outside an reactive context won't be memoized, unless keepAlive is set + runInAction(() => { + if (this._docViews.length === 0) { + this._docViews = DocListCast(this.props.Document.data).map(doc => { + return ( +
+ + {this.DocumentIcon(doc)} + + {NumCast(doc.score).toFixed(4)} +
DocumentManager.Instance.jumpToDocument(doc, false)}> + +
+
DocUtils.MakeLink({ doc: this.props.Document.sourceDoc as Doc }, { doc: doc }, "User Selected Link", "Generated from Recommender", undefined)}> + +
+
+ ); + }); + } + }); + } + render() { //TODO: Invariant violation: max depth exceeded error. Occurs when images are rendered. // if (!this._display) { // return null; @@ -194,7 +190,7 @@ export class RecommendationsBox extends React.Component { return (

Recommendations for "{title}"

- {this.createDocViews} + {this._docViews}
); } diff --git a/src/client/views/nodes/ImageBox.tsx b/src/client/views/nodes/ImageBox.tsx index 7816c0fe8..1bf2724c3 100644 --- a/src/client/views/nodes/ImageBox.tsx +++ b/src/client/views/nodes/ImageBox.tsx @@ -248,6 +248,7 @@ export class ImageBox extends DocAnnotatableComponent