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https://ghfast.top/https://github.com/discourse/discourse-ai.git
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478f31de47
* FEATURE: add inferred concepts system This commit adds a new inferred concepts system that: - Creates a model for storing concept labels that can be applied to topics - Provides AI personas for finding new concepts and matching existing ones - Adds jobs for generating concepts from popular topics - Includes a scheduled job that automatically processes engaging topics * FEATURE: Extend inferred concepts to include posts * Adds support for concepts to be inferred from and applied to posts * Replaces daily task with one that handles both topics and posts * Adds database migration for posts_inferred_concepts join table * Updates PersonaContext to include inferred concepts Co-authored-by: Roman Rizzi <rizziromanalejandro@gmail.com> Co-authored-by: Keegan George <kgeorge13@gmail.com>
113 lines
3 KiB
Text
113 lines
3 KiB
Text
import Component from "@glimmer/component";
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import { tracked } from "@glimmer/tracking";
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import { fn, hash } from "@ember/helper";
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import { action } from "@ember/object";
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import { gt } from "truth-helpers";
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import ModalJsonSchemaEditor from "discourse/components/modal/json-schema-editor";
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import { prettyJSON } from "discourse/lib/formatter";
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import { i18n } from "discourse-i18n";
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export default class AiPersonaResponseFormatEditor extends Component {
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@tracked showJsonEditorModal = false;
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jsonSchema = {
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type: "array",
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uniqueItems: true,
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title: i18n("discourse_ai.ai_persona.response_format.modal.root_title"),
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items: {
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type: "object",
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title: i18n("discourse_ai.ai_persona.response_format.modal.key_title"),
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properties: {
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key: {
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type: "string",
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},
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type: {
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type: "string",
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enum: ["string", "integer", "boolean", "array"],
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},
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array_type: {
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type: "string",
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enum: ["string", "integer", "boolean"],
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options: {
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dependencies: {
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type: "array",
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},
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},
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},
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},
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required: ["key", "type"],
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},
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};
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get editorTitle() {
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return i18n("discourse_ai.ai_persona.response_format.title");
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}
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get responseFormatAsJSON() {
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return JSON.stringify(this.args.data.response_format);
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}
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get displayJSON() {
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const toDisplay = {};
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this.args.data.response_format.forEach((keyDesc) => {
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if (keyDesc.type === "array") {
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toDisplay[keyDesc.key] = `[${keyDesc.array_type}]`;
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} else {
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toDisplay[keyDesc.key] = keyDesc.type;
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}
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});
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return prettyJSON(toDisplay);
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}
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@action
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openModal() {
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this.showJsonEditorModal = true;
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}
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@action
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closeModal() {
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this.showJsonEditorModal = false;
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}
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@action
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updateResponseFormat(form, value) {
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form.set("response_format", JSON.parse(value));
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}
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<template>
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<@form.Container @title={{this.editorTitle}} @format="large">
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<div class="ai-persona-editor__response-format">
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{{#if (gt @data.response_format.length 0)}}
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<pre class="ai-persona-editor__response-format-pre">
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<code
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>{{this.displayJSON}}</code>
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</pre>
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{{else}}
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<div class="ai-persona-editor__response-format-none">
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{{i18n "discourse_ai.ai_persona.response_format.no_format"}}
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</div>
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{{/if}}
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<@form.Button
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@action={{this.openModal}}
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@label="discourse_ai.ai_persona.response_format.open_modal"
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@disabled={{@data.system}}
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/>
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</div>
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</@form.Container>
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{{#if this.showJsonEditorModal}}
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<ModalJsonSchemaEditor
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@model={{hash
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value=this.responseFormatAsJSON
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updateValue=(fn this.updateResponseFormat @form)
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settingName=this.editorTitle
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jsonSchema=this.jsonSchema
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}}
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@closeModal={{this.closeModal}}
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/>
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{{/if}}
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</template>
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}
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