594f749d4c
Full-stack GraphRAG chatbot for HP marketing materials with: - Python/Flask backend with custom ReAct agent (LlamaIndex) - Neo4j knowledge graph + vector search hybrid retrieval - LlamaParse multimodal document processing (text + images) - React/Vite frontend with conversation management - MongoDB conversation persistence - MSAL authentication support Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
38 lines
1,003 B
JavaScript
38 lines
1,003 B
JavaScript
import js from '@eslint/js'
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import globals from 'globals'
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import react from 'eslint-plugin-react'
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import reactHooks from 'eslint-plugin-react-hooks'
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import reactRefresh from 'eslint-plugin-react-refresh'
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export default [
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{ ignores: ['dist'] },
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{
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files: ['**/*.{js,jsx}'],
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languageOptions: {
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ecmaVersion: 2020,
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globals: globals.browser,
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parserOptions: {
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ecmaVersion: 'latest',
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ecmaFeatures: { jsx: true },
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sourceType: 'module',
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},
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},
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settings: { react: { version: '18.3' } },
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plugins: {
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react,
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'react-hooks': reactHooks,
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'react-refresh': reactRefresh,
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},
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rules: {
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...js.configs.recommended.rules,
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...react.configs.recommended.rules,
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...react.configs['jsx-runtime'].rules,
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...reactHooks.configs.recommended.rules,
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'react/jsx-no-target-blank': 'off',
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'react-refresh/only-export-components': [
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'warn',
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{ allowConstantExport: true },
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],
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},
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},
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]
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