- If your project has supporting files, use this tool to upload and - organize them. -
+ If your project has supporting files, use this tool to upload and + organize them. +
Branding Images
- A download link to the organization's large cover photo, - displayed on the Campus Commons jumbotron. Dimensions should be{" "} - at least 1920x1080.{" "} - Organization logos should not be used as the Cover Photo. -
- A download link to the organization's main/large logo. - This is typically an extended wordmark. Logo should preferably - have a transparent background. Resolution should be high enough to - avoid blurring on digital screens. -
- A download link to the organization's medium-sized logo. - This is typically a standard, non-extended wordmark. Logo should - preferably have a transparent background. Resolution should be - high enough to avoid blurring on digital screens.{" "} - - If the organization does not have distinct large/medium logos, - the same logo can be used for both. - -
- A download link to the organization's smallest logo. This - is typically the same style used for favicons or simplified - communications branding. Logo should preferably have a transparent - background. Dimensions should be approximately 800x800.{" "} - - The Small Logo is not currently implemented in any portion of - Commons or Conductor, but has been provisioned for possible - future customizations. - -
Campus Aliases
+ Add other names of your campus to help us find textbooks to display in Commons. +
Custom Org/Campus List (optional)
+ Customize the list of organization/campus options available in certain contexts (i.e. associating organizations with a project). This is useful for university systems or groups that have a specific set of organizations they want users to be able to select from. If no custom list is set, the default list from LibreTexts will be shown. +
Branding Links
Branding Text
Branding Colors
- Add other names of your campus to help us find textbooks to - display in Commons. -
- Custom Org/Campus List (optional) -
- Customize the list of organization/campus options availble in - certain contexts (i.e. associating organizations with a project). - This is useful for university systems or groups that have a - specific set of organizations they want users to be able to select - from. If no custom list is set, the default list from LibreTexts - will be shown. -
Campus Commons Catalog Modules
- Enable, disable, or re-order the display of Catalog modules in - your Campus Commons. -
+ A download link to the organization's large cover photo, displayed on the Campus Commons jumbotron. Dimensions should be at least 1920x1080. Organization logos should not be used as the Cover Photo. +
+ A download link to the organization's main/large logo. This is typically an extended wordmark. Logo should preferably have a transparent background. Resolution should be high enough to avoid blurring on digital screens. +
+ A download link to the organization's medium-sized logo. This is typically a standard, non-extended wordmark. Logo should preferably have a transparent background. Resolution should be high enough to avoid blurring on digital screens. If the organization does not have distinct large/medium logos, the same logo can be used for both. +
+ A download link to the organization's smallest logo. This is typically the same style used for favicons or simplified communications branding. Logo should preferably have a transparent background. Dimensions should be approximately 800x800. The Small Logo is not currently implemented in any portion of Commons or Conductor, but has been provisioned for possible future customizations. +
- Disable Inherent Commons Filters -
- Disable the display of certain filters automatically available in - the Commons Catalog search interface. If a Catalog module is - disabled, the settings for that module here will have no effect. -
Assets
+ Enable, disable, or re-order the display of Catalog modules in your Campus Commons. +
Disable Inherent Commons Filters
+ Disable the display of certain filters automatically available in the Commons Catalog search interface. If a Catalog module is disabled, the settings for that module here will have no effect. +
{userData.email}
- Unknown -
- - - {truncateString(item.title, 100)} - - -
- {getClassificationText(item.classification)} -
- Unclassified -
{getVisibilityText(item.visibility)}
{truncateString(projectLead, 50)}
- {format( - parseISO(item.updatedAt ?? ""), - "MM/dd/yyyy" - )}{" "} - at{" "} - {format( - parseISO(item.updatedAt ?? ""), - "h:mm aa" - )} -
- No results found. -
+ {step.name} +
{step.date}
+ *Please note: Because your book is printed on demand and just for you, + production times can vary before shipping begins. +
{item.firstName}
{item.lastName}
{item.email}
No results found.
If you have any questions or concerns, please contact our{" "} { useDocumentTitle("LibreTexts | Contact Support"); @@ -53,7 +54,30 @@ const SupportCreateTicket = () => { Contact Support - Submit a request to get help from our team. + + Submit a request to get help from our team. + + + + + + Important: + + Please do not submit a support ticket for account creation. You can visit {' '} + + https://register.libretexts.org + + {' '} to create an account and complete instructor verification (if applicable). + + + + + <> {!isLoggedIn && !guestMode && ( diff --git a/client/src/screens/conductor/support/index.tsx b/client/src/screens/conductor/support/index.tsx index 181f4fae0..4b3c578bd 100644 --- a/client/src/screens/conductor/support/index.tsx +++ b/client/src/screens/conductor/support/index.tsx @@ -10,6 +10,38 @@ const SupportCenter = () => { const user = useTypedSelector((state) => state.user); const isTailwindLg = useMediaQuery({ minWidth: 1024 }); + const officeHoursAvailable = (): boolean => { + // Office hours are available tuesday and thursday from 9am to 10am Pacific Time (use a 30 minute buffer on either side) + const now = new Date(); + const day = now.getUTCDay(); + const hour = now.getUTCHours(); + const minute = now.getUTCMinutes(); + + // Detect if Pacific Time is in DST + const january = new Date(now.getFullYear(), 0, 1); + const july = new Date(now.getFullYear(), 6, 1); + const stdOffset = Math.max( + january.getTimezoneOffset(), + july.getTimezoneOffset() + ); + const isDST = now.getTimezoneOffset() < stdOffset; + + // Pacific Time is UTC-8 (standard) or UTC-7 (DST) + // 8:30am PT = 16:30 UTC (standard) or 15:30 UTC (DST) + // 10:30am PT = 18:30 UTC (standard) or 17:30 UTC (DST) + const utcOffset = isDST ? 7 : 8; + const startHour = 8 + utcOffset; // 15 or 16 + const endHour = 10 + utcOffset; // 17 or 18 + + const isCorrectDay = day === 2 || day === 4; // Tuesday or Thursday + const isInTimeWindow = + (hour === startHour && minute >= 30) || + hour === startHour + 1 || + (hour === endHour && minute < 30); + + return isCorrectDay && isInTimeWindow; + }; + const HomeItem = ({ title, text, @@ -29,14 +61,14 @@ const SupportCenter = () => { if (!disabled) openLink(link); }} className={`flex flex-col h-80 w-96 p-4 mx-auto my-4 lg:m-4 border rounded-xl shadow-md items-center cursor-pointer ${ - disabled ? "opacity-50" : "opacity-100 hover:shadow-xl" + disabled ? "opacity-70 !cursor-not-allowed" : "opacity-100 hover:shadow-xl" }`} aria-disabled={disabled} > - {title} + {title} {text} ); @@ -49,9 +81,7 @@ const SupportCenter = () => { return ( - + { icon="question circle outline" link="/insight" /> + { + const [isOpen, setIsOpen] = useState(false); + const [messages, setMessages] = useState([]); + const [input, setInput] = useState(""); + const [sessionId, setSessionId] = useState(""); + const [loading, setLoading] = useState(false); + const [creatingSession, setCreatingSession] = useState(false); + + // Create a new session when component mounts + useEffect(() => { + if (isOpen && !sessionId && !creatingSession) { + createNewSession(); + } + }, [isOpen]); + + const createNewSession = async () => { + setCreatingSession(true); + try { + const response = await api.createAgentSession(); + if (!response.err && response.sessionId) { + setSessionId(response.sessionId); + } else { + throw new Error("Failed to create session"); + } + } catch (error) { + console.error("❌ Failed to create session:", error); + } + setCreatingSession(false); + }; + + const toggleChat = () => { + setIsOpen(!isOpen); + }; + + const handleSendMessage = async () => { + if (!input.trim() || !sessionId || loading) return; + + const userMessage: Message = { + role: "user", + content: input + }; + setMessages((prev) => [...prev, userMessage]); + + const currentInput = input; + setInput(""); + setLoading(true); + + try { + const response = await api.queryLangGraphAgent(currentInput, sessionId); + + if (!response.err) { + const botMessage: Message = { + role: "agent", + content: response.response, + sources: response.sources + }; + setMessages((prev) => [...prev, botMessage]); + } else { + throw new Error("Error fetching chatbot response"); + } + } catch (error) { + console.error("❌ Error sending message:", error); + const errorMessage: Message = { + role: "agent", + content: "Sorry, something went wrong. Please try again." + }; + setMessages((prev) => [...prev, errorMessage]); + } + + setLoading(false); + }; + + const handleKeyPress = (e: React.KeyboardEvent) => { + if (e.key === "Enter" && !e.shiftKey) { + e.preventDefault(); + handleSendMessage(); + } + }; + + const handleNewSession = () => { + setMessages([]); + createNewSession(); + }; + + return ( + + {!isOpen && ( + + Ask Benny + + )} + {isOpen && ( + + + + + + Ask Benny + + + + + 🔄 + + ✕ + + + + + {messages.length === 0 && ( + + 👋 Hi! I'm Benny, your AI assistant. + I can search the LibreTexts Knowledge Base and the web to help you! + + )} + + {messages.map((msg, index) => ( + + + + {msg.role === "user" ? "You" : "Benny"}: + + {msg.role === "agent" ? ( + , + ul: ({node, ...props}) => , + ol: ({node, ...props}) => , + li: ({node, ...props}) => , + h2: ({node, ...props}) => , + h3: ({node, ...props}) => , + }} + > + {msg.content} + + ) : ( + {msg.content} + )} + + + {/* Show sources if available */} + {msg.sources && msg.sources.length > 0 && ( + + + 📚 Sources ({msg.sources.length}): + + + {msg.sources.map((source) => ( + + {source.source === 'kb' ? '📖' : '🌐'} [{source.number}] {source.title} + + ))} + + + )} + + ))} + + {loading && ( + + + ... + + Benny is thinking + + )} + + + + setInput(e.target.value)} + onKeyPress={handleKeyPress} + placeholder={sessionId ? "Ask me anything..." : "Creating session..."} + disabled={!sessionId || loading} + /> + + {loading ? "..." : "Send"} + + + + )} + + ); +}; + +export default ChatBot; \ No newline at end of file diff --git a/package-lock.json b/package-lock.json index 55d69fd35..3b831818d 100644 --- a/package-lock.json +++ b/package-lock.json @@ -1,12 +1,12 @@ { "name": "conductor", - "version": "2.113.4", + "version": "2.113.5", "lockfileVersion": 3, "requires": true, "packages": { "": { "name": "conductor", - "version": "2.113.4", + "version": "2.113.5", "license": "MIT", "devDependencies": { "@commitlint/cli": "^17.4.4", @@ -30,9 +30,9 @@ } }, "node_modules/@babel/helper-validator-identifier": { - "version": "7.28.5", - "resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.28.5.tgz", - "integrity": "sha512-qSs4ifwzKJSV39ucNjsvc6WVHs6b7S03sOh2OcHF9UHfVPqWWALUsNUVzhSBiItjRZoLHx7nIarVjqKVusUZ1Q==", + "version": "7.27.1", + "resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.27.1.tgz", + "integrity": "sha512-D2hP9eA+Sqx1kBZgzxZh0y1trbuU+JoDkiEwqhQ36nodYqJwyEIhPSdMNd7lOm/4io72luTPWH20Yda0xOuUow==", "dev": true, "license": "MIT", "engines": { @@ -344,9 +344,9 @@ } }, "node_modules/@tsconfig/node10": { - "version": "1.0.12", - "resolved": "https://registry.npmjs.org/@tsconfig/node10/-/node10-1.0.12.tgz", - "integrity": "sha512-UCYBaeFvM11aU2y3YPZ//O5Rhj+xKyzy7mvcIoAjASbigy8mHMryP5cK7dgjlz2hWxh1g5pLw084E0a/wlUSFQ==", + "version": "1.0.11", + "resolved": "https://registry.npmjs.org/@tsconfig/node10/-/node10-1.0.11.tgz", + "integrity": "sha512-DcRjDCujK/kCk/cUe8Xz8ZSpm8mS3mNNpta+jGCA6USEDfktlNvm1+IuZ9eTcDbNk41BHwpHHeW+N1lKCz4zOw==", "dev": true, "license": "MIT" }, @@ -781,9 +781,9 @@ "license": "MIT" }, "node_modules/error-ex": { - "version": "1.3.4", - "resolved": "https://registry.npmjs.org/error-ex/-/error-ex-1.3.4.tgz", - "integrity": "sha512-sqQamAnR14VgCr1A618A3sGrygcpK+HEbenA/HiEAkkUwcZIIB/tgWqHFxWgOyDh4nB4JCRimh79dR5Ywc9MDQ==", + "version": "1.3.2", + "resolved": "https://registry.npmjs.org/error-ex/-/error-ex-1.3.2.tgz", + "integrity": "sha512-7dFHNmqeFSEt2ZBsCriorKnn3Z2pj+fd9kmI6QoWw4//DL+icEBfc0U7qJCisqrTsKTjw4fNFy2pW9OqStD84g==", "dev": true, "license": "MIT", "dependencies": { @@ -832,9 +832,9 @@ "license": "MIT" }, "node_modules/fast-uri": { - "version": "3.1.0", - "resolved": "https://registry.npmjs.org/fast-uri/-/fast-uri-3.1.0.tgz", - "integrity": "sha512-iPeeDKJSWf4IEOasVVrknXpaBV0IApz/gp7S2bb7Z4Lljbl2MGJRqInZiUrQwV16cpzw/D3S5j5Julj/gT52AA==", + "version": "3.0.6", + "resolved": "https://registry.npmjs.org/fast-uri/-/fast-uri-3.0.6.tgz", + "integrity": "sha512-Atfo14OibSv5wAp4VWNsFYE1AchQRTv9cBGWET4pZWHzYshFSS9NQI6I57rdKn9croWVMbYFbLhJ+yJvmZIIHw==", "dev": true, "funding": [ { @@ -866,9 +866,9 @@ } }, "node_modules/fs-extra": { - "version": "11.3.2", - "resolved": "https://registry.npmjs.org/fs-extra/-/fs-extra-11.3.2.tgz", - "integrity": "sha512-Xr9F6z6up6Ws+NjzMCZc6WXg2YFRlrLP9NQDO3VQrWrfiojdhS56TzueT88ze0uBdCTwEIhQ3ptnmKeWGFAe0A==", + "version": "11.3.1", + "resolved": "https://registry.npmjs.org/fs-extra/-/fs-extra-11.3.1.tgz", + "integrity": "sha512-eXvGGwZ5CL17ZSwHWd3bbgk7UUpF6IFHtP57NYYakPvHOs8GDgDe5KJI36jIJzDkJ6eJjuzRA8eBQb6SkKue0g==", "dev": true, "license": "MIT", "dependencies": { @@ -1820,13 +1820,13 @@ } }, "node_modules/resolve": { - "version": "1.22.11", - "resolved": "https://registry.npmjs.org/resolve/-/resolve-1.22.11.tgz", - "integrity": "sha512-RfqAvLnMl313r7c9oclB1HhUEAezcpLjz95wFH4LVuhk9JF/r22qmVP9AMmOU4vMX7Q8pN8jwNg/CSpdFnMjTQ==", + "version": "1.22.10", + "resolved": "https://registry.npmjs.org/resolve/-/resolve-1.22.10.tgz", + "integrity": "sha512-NPRy+/ncIMeDlTAsuqwKIiferiawhefFJtkNSW0qZJEqMEb+qBt/77B/jGeeek+F0uOeN05CDa6HXbbIgtVX4w==", "dev": true, "license": "MIT", "dependencies": { - "is-core-module": "^2.16.1", + "is-core-module": "^2.16.0", "path-parse": "^1.0.7", "supports-preserve-symlinks-flag": "^1.0.0" }, @@ -2158,9 +2158,9 @@ } }, "node_modules/typescript": { - "version": "5.9.3", - "resolved": "https://registry.npmjs.org/typescript/-/typescript-5.9.3.tgz", - "integrity": "sha512-jl1vZzPDinLr9eUt3J/t7V6FgNEw9QjvBPdysz9KfQDD41fQrC2Y4vKQdiaUpFT4bXlb1RHhLpp8wtm6M5TgSw==", + "version": "5.9.2", + "resolved": "https://registry.npmjs.org/typescript/-/typescript-5.9.2.tgz", + "integrity": "sha512-CWBzXQrc/qOkhidw1OzBTQuYRbfyxDXJMVJ1XNwUHGROVmuaeiEm3OslpZ1RV96d7SKKjZKrSJu3+t/xlw3R9A==", "dev": true, "license": "Apache-2.0", "bin": { diff --git a/server/agent-graph.mmd b/server/agent-graph.mmd new file mode 100644 index 000000000..682189672 --- /dev/null +++ b/server/agent-graph.mmd @@ -0,0 +1,13 @@ +%%{init: {'flowchart': {'curve': 'linear'}}}%% +graph TD; + __start__([__start__]):::first + agent(agent) + tools(tools) + __end__([__end__]):::last + __start__ --> agent; + tools --> agent; + agent -.-> tools; + agent -.-> __end__; + classDef default fill:#f2f0ff,line-height:1.2; + classDef first fill-opacity:0; + classDef last fill:#bfb6fc; diff --git a/server/api.js b/server/api.js index 9e58072f1..1ab5b313a 100644 --- a/server/api.js +++ b/server/api.js @@ -1030,6 +1030,16 @@ router .route("/commons/syncwithlibs/automated") .put(middleware.checkLibreAPIKey, booksAPI.runAutomatedSyncWithLibraries); +router.route("/commons/syncwithsearch").post( + middleware.checkLibreAPIKey, + booksAPI.syncWithSearchIndex, +) + +router.route("/projects/syncwithsearch").post( + middleware.checkLibreAPIKey, + projectsAPI.syncWithSearchIndex, +) + /* Commons Books/Catalogs */ router .route("/commons/catalog") @@ -1265,6 +1275,13 @@ router middleware.validateZod(SearchValidators.bookSearchSchema), searchAPI.booksSearch ); +router + .route("/search/books-v2") + .get( + authAPI.optionalVerifyRequest, + middleware.validateZod(SearchValidators.bookSearchSchema), + searchAPI.bookSearchV2 + ); router .route("/search/homework") .get( @@ -1286,6 +1303,13 @@ router middleware.validateZod(SearchValidators.projectSearchSchema), searchAPI.projectsSearch ); +router + .route("/search/projects-v2") + .get( + authAPI.optionalVerifyRequest, + middleware.validateZod(SearchValidators.projectSearchV2Schema), + searchAPI.projectSearchV2 + ); router .route("/search/users") .get( @@ -1853,6 +1877,11 @@ router projectsAPI.removeMemberFromProject ); +router.route("/project/sync-with-search-index").post( + middleware.checkLibreAPIKey, + projectsAPI.syncWithSearchIndex +); + router .route("/project/threads") .get( @@ -2131,8 +2160,8 @@ router router .route("/project/:projectID/files/bulk") .get( - authAPI.verifyRequest, - authAPI.getUserAttributes, + authAPI.optionalVerifyRequest, + authAPI.optionalGetUserAttributes, middleware.validateZod( ProjectFileValidators.bulkDownloadProjectFilesSchema ), @@ -2497,6 +2526,16 @@ router kbAPI.getKBPage ); + router + .route("/kb/page/slug/:slug/embeddings") + .post( + authAPI.verifyRequest, + authAPI.getUserAttributes, + authAPI.checkHasRoleMiddleware("libretexts", "superadmin"), + middleware.validateZod(kbValidators.GetKBPageValidator), + kbAPI.generateKBPageEmbeddings + ); + router .route("/kb/page/:uuid") .get(middleware.validateZod(kbValidators.GetKBPageValidator), kbAPI.getKBPage) @@ -2858,4 +2897,40 @@ router projectInvitationsAPI.updateProjectInvitation ); + router + .route("/kb/migrate-to-qdrant") + .post( + middleware.checkLibreAPIKey, + middleware.validateZod(kbValidators.MigrateToQdrantValidator), + kbAPI.migrateKBPagesToQdrant + ); + + router + .route("/kb/create-single-page-embedding/:uuid") + .post( + authAPI.verifyRequest, + authAPI.getUserAttributes, + authAPI.checkHasRoleMiddleware("libretexts", "superadmin"), + middleware.validateZod(kbValidators.KBUUIDParams), + kbAPI.createSinglePageEmbedding + ); + + router + .route("/agent/create-session") + .post( + authAPI.optionalVerifyRequest, + authAPI.optionalGetUserAttributes, + kbAPI.createSessionHandler + ); + + router + .route("/agent/query-langgraph") + .post( + authAPI.optionalVerifyRequest, + authAPI.optionalGetUserAttributes, + middleware.validateZod(kbValidators.AgentQueryLangGraphValidator), + kbAPI.agentQueryLangGraph + ); + + export default router; diff --git a/server/api/books.ts b/server/api/books.ts index e8e36197d..60e87d16c 100644 --- a/server/api/books.ts +++ b/server/api/books.ts @@ -83,6 +83,7 @@ import { } from "./validators/book.js"; import BookService from "./services/book-service.js"; import { normalizedSort } from "../util/searchutils.js"; +import SearchService from "./services/search-service.js"; const BOOK_PROJECTION: Partial> = { _id: 0, @@ -2620,6 +2621,103 @@ export async function _getBookPublicOrInstructorAssetsCount(ids: string[]): Prom }]); } +export async function syncWithSearchIndex( + req: Request, + res: Response +) { + try { + debugServer("Initiating Commons Books search index synchronization..."); + const searchService = await SearchService.create(); + + /** + * Book data for search index should be in format: + * { + * bookID: string, + * ...other Book fields, + * projectTags: string[] // array of tag titles associated with the Book's Project + * } + */ + const books = await Book.aggregate([ + { + // Add project data to each book (if any) + $lookup: { + from: "projects", + let: { + lib: "$library", + coverID: { $arrayElemAt: [{ $split: ["$bookID", "-"] }, 1] }, + }, + pipeline: [ + { + $match: { + $expr: { + $and: [ + { $eq: ["$$lib", "$libreLibrary"] }, + { $eq: ["$$coverID", "$libreCoverID"] }, + { $eq: ["$visibility", "public"] }, + ], + }, + }, + }, + ], + as: "project", + } + }, + { + $addFields: { + project: { + $arrayElemAt: ["$project", 0], + }, + }, + }, + // project.tags is a string array of tagID's; we need to load the actual tag.title values + { + $lookup: { + from: "tags", + localField: "project.tags", + foreignField: "tagID", + as: "projectTags", + }, + }, + { + $addFields: { + projectTags: { + $map: { + input: "$projectTags", + as: "tag", + in: "$$tag.title", + }, + }, + }, + }, + { + // Exclude fields that add no value to search index + $project: { + _id: 0, + __v: 0, + createdAt: 0, + updatedAt: 0, + randomIndex: 0, + project: 0 + } + } + ]) + + const syncResult = await searchService.addDocuments("books", books); + + return res.send({ + err: false, + msg: "Commons Books search index synchronization completed.", + details: syncResult, + }); + } catch (err) { + debugError(err); + return res.status(500).send({ + err: true, + errMsg: conductorErrors.err6, + }); + } +} + export default { syncWithLibraries, runAutomatedSyncWithLibraries, @@ -2642,5 +2740,6 @@ export default { updatePageDetails, bulkUpdatePageTags, retrieveKBExport, + syncWithSearchIndex, _getBookPublicOrInstructorAssetsCount }; diff --git a/server/api/kb.ts b/server/api/kb.ts index 1fa032260..eabc0fc93 100644 --- a/server/api/kb.ts +++ b/server/api/kb.ts @@ -1,6 +1,7 @@ import { z } from "zod"; import { AddKbImageValidator, + AgentQueryLangGraphValidator, CreateKBFeaturedPageValidator, CreateKBFeaturedVideoValidator, CreateKBPageValidator, @@ -35,6 +36,14 @@ import { import { assembleUrl } from "../util/helpers.js"; import axios from "axios"; import projectFilesAPI from "./projectfiles.js"; +import OpenAI from 'openai'; +import { qdrantService } from './services/qdrant.js'; +import { agentService } from "./services/agent.js"; + +// Initialize OpenAI client +const openai = new OpenAI({ + apiKey: process.env.OPENAI_API_KEY, +}); export const KB_FILES_S3_CLIENT_CONFIG: S3ClientConfig = { credentials: { @@ -636,6 +645,231 @@ async function getOEmbed( } } +// Function to generate embeddings from text +async function _generateEmbeddings(text: string): Promise { + try { + // Clean the HTML content to plain text + const cleanText = text.replace(/<[^>]*>/g, ' ').replace(/\s+/g, ' ').trim(); + + const response = await openai.embeddings.create({ + model: "text-embedding-3-small", // or "text-embedding-3-large" for better quality + input: cleanText, + }); + + return response.data[0].embedding; + } catch (error) { + console.error('Error generating embeddings:', error); + throw new Error('Failed to generate embeddings'); + } +} + +// New API function to generate and store embeddings +async function generateKBPageEmbeddings( + req: z.infer, + res: Response +) { + try { + const { uuid, slug } = req.params; + + let matchObj = {}; + if (uuid) { + matchObj = { uuid }; + } else if (slug) { + matchObj = { slug: slug.toLowerCase() }; + } + + // Find the KB page + const kbPage = await KBPage.findOne(matchObj).orFail(); + + // Generate embeddings from the body content + const embeddings = await _generateEmbeddings(kbPage.body); + + // Update the page with embeddings + const updatedPage = await KBPage.findOneAndUpdate( + matchObj, + { + embeddings: embeddings, + embeddingsUpdatedAt: new Date(), + }, + { new: true } + ) + .populate({ + path: "lastEditedBy", + select: "uuid firstName lastName avatar", + }) + .lean(); + + return res.send({ + err: false, + page: updatedPage, + message: "Embeddings generated and stored successfully", + embeddingsLength: embeddings.length, + }); + } catch (err: any) { + debugError(err); + if (err.name === "DocumentNotFoundError") { + return res.status(404).send({ + err: true, + msg: "Page not found", + }); + } + return conductor500Err(res); + } +} + +async function migrateKBPagesToQdrant(req: Request, res: Response) { + try { + const start = parseInt(req.query.start as string) || 0; + const stopParam = req.query.stop as string; + + // If stop is not provided or is "all", migrate everything + const stop = stopParam === 'all' || !stopParam ? Number.MAX_SAFE_INTEGER : parseInt(stopParam); + const limit = stop === Number.MAX_SAFE_INTEGER ? 0 : stop - start; + + console.log(`🚀 Starting KB pages migration to Qdrant (${start} to ${stop === Number.MAX_SAFE_INTEGER ? 'end' : stop})...`); + + // Initialize Qdrant collection + await qdrantService.initializeCollection(); + + // Get KB pages with skip and limit + const query = KBPage.find({ + status: 'published', + body: { $exists: true, $ne: '' } // Only pages with content + }) + .skip(start); + + // Only apply limit if it's not unlimited + if (limit > 0) { + query.limit(limit); + } + + const kbPages = await query.lean(); + + console.log(`📊 Found ${kbPages.length} KB pages to migrate (requested ${start}-${stop})`); + + if (kbPages.length === 0) { + return res.send({ + err: false, + message: 'No KB pages found to migrate', + start, + stop, + migrated: 0, + errors: 0, + }); + } + + console.log('📋 Pages to migrate:'); + kbPages.slice(0, 3).forEach((page, idx) => { + console.log(` ${start + idx}. ${page.title} (${page.uuid})`); + }); + if (kbPages.length > 3) { + console.log(` ... and ${kbPages.length - 3} more`); + } + + // Batch migrate to Qdrant (smaller batches to avoid rate limits) + const results = await qdrantService.batchUpsertKBPages(kbPages, 2); + + const successful = results.filter(r => r.success); + const failed = results.filter(r => !r.success); + + console.log(`\n✅ Migration completed!`); + console.log(` Range: ${start}-${stop}`); + console.log(` Successful: ${successful.length}`); + console.log(` Failed: ${failed.length}`); + + if (failed.length > 0) { + console.log('\n❌ Failed pages:'); + failed.forEach(f => console.log(` - ${f.title} (${f.uuid}): ${f.error}`)); + } + + return res.send({ + err: false, + message: 'Migration completed', + start, + stop, + total: kbPages.length, + migrated: successful.length, + errors: failed.length, + successfulPages: successful.map(s => ({ uuid: s.uuid, title: s.title })), + failedPages: failed.map(f => ({ uuid: f.uuid, title: f.title, error: f.error })), + }); + + } catch (error) { + console.error('💥 Migration error:', error); + debugError(error); + return conductor500Err(res); + } +} + +// Get Qdrant collection status +async function getQdrantStatus(req: Request, res: Response) { + try { + const info = await qdrantService.getCollectionInfo(); + + return res.send({ + err: false, + collection: info, + status: 'connected', + pointsCount: info.points_count, + }); + } catch (error) { + console.error('Qdrant status error:', error); + return res.send({ + err: true, + message: 'Failed to connect to Qdrant', + error: (error as Error).message, + }); + } +} + +async function createSinglePageEmbedding(req: Request, res: Response) { + try { + const { uuid } = req.params; + + // Get the KB page from MongoDB + const kbPage = await KBPage.findOne({ uuid }).lean(); + + console.log('kbPage', kbPage); + + if (!kbPage) { + return res.status(404).send({ + err: true, + message: 'KB page not found', + }); + } + + console.log(`📄 Creating embedding for: ${kbPage.title}`); + + // Initialize Qdrant collection if needed + await qdrantService.initializeCollection(); + + // Create and store the embedding + const result = await qdrantService.upsertKBPage(kbPage); + + if (result.success) { + return res.send({ + err: false, + message: 'Embedding created successfully', + page: { + uuid: kbPage.uuid, + title: kbPage.title, + slug: kbPage.slug, + }, + }); + } else { + return res.status(500).send({ + err: true, + message: 'Failed to create embedding', + error: result.error, + }); + } + } catch (error) { + console.error('Error creating single page embedding:', error); + debugError(error); + return conductor500Err(res); + } +} + function _checkForDeletedImages(newBody: string, oldURLs?: string[]) { try { if (!oldURLs || oldURLs.length === 0) { @@ -731,6 +965,95 @@ function _generatePageSlug(title: string, userInput?: string) { return encodeURIComponent(urlFriendly.toLowerCase()); // encode the slug } +// async function queryWithToolsHandler(req: Request, res: Response) { +// try { +// const { query, sessionId, collectionName, systemPrompt, limit } = req.body; + +// console.log(`🤖 Query With Tools Request: "${query}" (Session: ${sessionId})`); +// if (!query || !sessionId) { +// return res.status(400).send({ +// err: true, +// msg: "Both 'query' and 'sessionId' are required.", +// }); +// } + +// // Call the queryWithTools function from AgentService +// const response = await agentService.queryWithTools( +// query, +// sessionId, +// collectionName || "kb_pages", +// systemPrompt || "You are a helpful AI assistant for LibreTexts Knowledge Base. Answer questions based on the provided context.", +// limit || 3 +// ); + +// return res.send({ +// err: false, +// response, +// }); +// } catch (err) { +// console.error("Error in queryWithToolsHandler:", err); +// return res.status(500).send({ +// err: true, +// msg: "An error occurred while processing the query.", +// }); +// } +// } + +async function createSessionHandler(req: ZodReqWithOptionalUser<{}>, res: Response) { + try { + const userId = req.user?.decoded?.uuid; + + // Call the AgentService to create a session + const sessionId = await agentService.createSession(userId); + + return res.send({ + err: false, + sessionId, + }); + } catch (err) { + console.error("Error in createSessionHandler:", err); + return res.status(500).send({ + err: true, + msg: "An error occurred while creating the session.", + }); + } +} + +async function agentQueryLangGraph(req: z.infer, res: Response) { + try { + const { query, sessionId } = req.body; + + if (!query || typeof query !== 'string') { + return res.status(400).send({ + err: true, + msg: "Query is required and must be a string" + }); + } + + if (!sessionId || typeof sessionId !== 'string') { + return res.status(400).send({ + err: true, + msg: "SessionId is required and must be a string" + }); + } + + const response = await agentService.queryWithLangGraph( + query, + sessionId + ); + + return res.send({ + err: false, + ...response, + }); + + } catch (error) { + console.error('LangGraph agent query error:', error); + debugError(error); + return conductor500Err(res); + } +} + export default { getKBPage, getKBTree, @@ -746,4 +1069,11 @@ export default { deleteKBFeaturedPage, createKBFeaturedVideo, deleteKBFeaturedVideo, + generateKBPageEmbeddings, + migrateKBPagesToQdrant, + getQdrantStatus, + createSinglePageEmbedding, + // queryWithToolsHandler, + createSessionHandler, + agentQueryLangGraph, }; diff --git a/server/api/mail.js b/server/api/mail.js index 7d5d7015e..4e019e670 100644 --- a/server/api/mail.js +++ b/server/api/mail.js @@ -971,6 +971,44 @@ const sendStoreOrderShippedUpdate = (recipientAddress, orderID, trackingURLs) => }); } +const sendStoreOrderRejectedInternalNotification = (recipientAddresses, orderID, reason) => { + return mailgun.messages.create(process.env.MAILGUN_DOMAIN, { + from: DEFAULT_MAIL_FROM, + to: recipientAddresses, + subject: `[Action Required] LibreTexts Store Order Rejected: ${orderID.slice(-6)}`, + html: ` + A store order has been rejected for the following reason: ${reason}. + + Please review it in the Control Panel for more details and resubmission. + Sincerely, + The LibreTexts team + + Order ID: ${orderID} + ${autoGenNoticeHTML} + `, + }); +} + +const sendStoreOrderFailedInternalNotification = (recipientAddresses, orderID, error) => { + const stringifiedError = typeof error === 'string' ? error : JSON.stringify(error); + return mailgun.messages.create(process.env.MAILGUN_DOMAIN, { + from: DEFAULT_MAIL_FROM, + to: recipientAddresses, + subject: `[Action Required] LibreTexts Store Order Failed: ${orderID.slice(-6)}`, + html: ` + A store order has failed with the following error: ${stringifiedError.substring(0, 100)}. + An error of this nature typically indicates an issue outside of the book itself and may require assistance from Engineering to resolve. + + Please review it in the Control Panel for more details. + Sincerely, + The LibreTexts team + + Order ID: ${orderID} + ${autoGenNoticeHTML} + `, + }); +} + const sendZIPFileReadyNotification = (url, recipientAddress) => { return mailgun.messages.create(process.env.MAILGUN_DOMAIN, { from: 'LibreTexts Support ', @@ -1120,6 +1158,8 @@ export default { sendStoreOrderConfirmation, sendStoreOrderInProductionUpdate, sendStoreOrderShippedUpdate, + sendStoreOrderRejectedInternalNotification, + sendStoreOrderFailedInternalNotification, sendZIPFileReadyNotification, sendProjectInvitation, sendSupportTicketCCedNotification diff --git a/server/api/projectfiles.ts b/server/api/projectfiles.ts index 43f9e69e4..53a17a122 100644 --- a/server/api/projectfiles.ts +++ b/server/api/projectfiles.ts @@ -11,7 +11,6 @@ import Organization from "../models/organization.js"; import { PROJECT_FILES_S3_CLIENT_CONFIG, computeStructureAccessSettings, - createZIPAndNotify, downloadProjectFiles, getFolderContents, getProjectFiles, @@ -575,9 +574,9 @@ async function bulkDownloadProjectFiles( res: Response ) { try { - // 50mb limit - const MAX_COMBINED_SIZE = 52428800; - const { emailToNotify } = req.query; + // 150mb limit + const MAX_COMBINED_SIZE = 157286400; // 150 * 1024 * 1024 + // @ts-ignore const rawIds = req.query.fileIDs as string; const projectID = req.params.projectID; @@ -618,52 +617,43 @@ async function bulkDownloadProjectFiles( foundFiles.forEach((file) => { totalSize += file.size; }); - const isOverLimit = totalSize > MAX_COMBINED_SIZE; - - if (!isOverLimit) { - // create zip file - foundFiles.forEach(async (file) => { - const fileKey = assembleUrl([projectID, file.fileID]); - downloadCommands.push( - new GetObjectCommand({ - Bucket: process.env.AWS_PROJECTFILES_BUCKET, - Key: fileKey, - }) - ); + + // If over limit, return error instead of email notification + if (totalSize > MAX_COMBINED_SIZE) { + return res.status(400).send({ + err: true, + errMsg: "Too many files were requested. Please select fewer files.", }); + } - const downloadRes = await Promise.all( - downloadCommands.map((command) => storageClient.send(command)) + // create zip file + foundFiles.forEach(async (file) => { + const fileKey = assembleUrl([projectID, file.fileID]); + downloadCommands.push( + new GetObjectCommand({ + Bucket: process.env.AWS_PROJECTFILES_BUCKET, + Key: fileKey, + }) ); + }); - const zipBuff = await parseAndZipS3Objects(downloadRes, foundFiles); - if (!zipBuff) { - throw new Error("ziperror"); - } - - //TODO: update download count - const base64File = zipBuff.toString("base64"); + const downloadRes = await Promise.all( + downloadCommands.map((command) => storageClient.send(command)) + ); - return res.send({ - err: false, - msg: "Successfully requested download!", - file: base64File, - }); - } else { - const fileKeys: string[] = []; - foundFiles.forEach((file) => { - const fileKey = assembleUrl([projectID, file.fileID]); - fileKeys.push(fileKey); - }); + const zipBuff = await parseAndZipS3Objects(downloadRes, foundFiles); + if (!zipBuff) { + throw new Error("ziperror"); + } - createZIPAndNotify(fileKeys, foundFiles, emailToNotify); // Don't await, just run in background and return success + //TODO: update download count + const base64File = zipBuff.toString("base64"); - res.setHeader("content-type", "application/json"); - return res.send({ - err: false, - msg: "Successfully requested download!", - }); - } + return res.send({ + err: false, + msg: "Successfully requested download!", + file: base64File, + }); } catch (e) { debugError(e); return res.status(500).send({ diff --git a/server/api/projects.js b/server/api/projects.js index d651c2c39..a970b9f7a 100644 --- a/server/api/projects.js +++ b/server/api/projects.js @@ -24,7 +24,7 @@ import Message from '../models/message.js'; import Organization from '../models/organization.js'; import CIDDescriptor from '../models/ciddescriptor.js'; import conductorErrors from '../conductor-errors.js'; -import { debugError, debugCommonsSync } from '../debug.js'; +import { debugError, debugCommonsSync, debugServer } from '../debug.js'; import { validateProjectClassification, validateRoadmapStep, @@ -54,6 +54,7 @@ import ProjectFile from "../models/projectfile.js"; import { getLibraryNameKeys } from './libraries.js'; import TrafficAnalyticsService from "./services/traffic-analytics-service.js"; import ProjectInvitation from '../models/projectinvitation.js'; +import SearchService from './services/search-service.js'; const projectListingProjection = { _id: 0, @@ -3252,6 +3253,174 @@ async function getTrafficAnalyticsData(req, res, func) { } } +async function syncWithSearchIndex(req, res) { + try { + debugServer("Initiating Projects search index sync..."); + const searchService = await SearchService.create(); + + const projects = await Project.aggregate([ + { + $lookup: { + from: "users", + let: { + leads: { $ifNull: ["$leads", []] }, + liaisons: { $ifNull: ["$liaisons", []] }, + members: { $ifNull: ["$members", []] }, + auditors: { $ifNull: ["$auditors", []] }, + }, + pipeline: [ + { + $match: { + $expr: { + $or: [ + { $in: ["$uuid", "$$leads"] }, + { $in: ["$uuid", "$$liaisons"] }, + { $in: ["$uuid", "$$members"] }, + { $in: ["$uuid", "$$auditors"] }, + ], + }, + }, + }, + { + $project: { + _id: 0, + uuid: 1, + firstName: 1, + lastName: 1, + avatar: 1, + }, + }, + ], + as: "allProjectUsers", + }, + }, + { + $addFields: { + leads: { + $filter: { + input: "$allProjectUsers", + as: "user", + cond: { $in: ["$$user.uuid", { $ifNull: ["$leads", []] }] }, + }, + }, + liaisons: { + $filter: { + input: "$allProjectUsers", + as: "user", + cond: { $in: ["$$user.uuid", { $ifNull: ["$liaisons", []] }] }, + }, + }, + members: { + $filter: { + input: "$allProjectUsers", + as: "user", + cond: { $in: ["$$user.uuid", { $ifNull: ["$members", []] }] }, + }, + }, + auditors: { + $filter: { + input: "$allProjectUsers", + as: "user", + cond: { $in: ["$$user.uuid", { $ifNull: ["$auditors", []] }] }, + }, + }, + }, + }, + { + $unset: "allProjectUsers", + }, + { + $lookup: { + from: "projectfiles", + localField: "projectID", + foreignField: "projectID", + as: "files", + }, + }, + { + $addFields: { + publicAssets: { + $size: { + $filter: { + input: "$files", + cond: { $eq: ["$$this.access", "public"] }, + }, + }, + }, + instructorAssets: { + $size: { + $filter: { + input: "$files", + cond: { $eq: ["$$this.access", "instructor"] }, + }, + }, + }, + }, + }, + // project.tags is a string array of tagID's; we need to load the actual tag.title values + { + $lookup: { + from: "tags", + localField: "tags", + foreignField: "tagID", + as: "projectTags", + }, + }, + { + $addFields: { + tags: { + $map: { + input: "$projectTags", + as: "tag", + in: "$$tag.title", + }, + }, + }, + }, + { + // Only include fields relevant to search + $project: { + _id: 0, + projectID: 1, + orgID: 1, + title: 1, + status: 1, + visibility: 1, + classification: 1, + projectURL: 1, + author: 1, + libreLibrary: 1, + libreShelf: 1, + libreCampus: 1, + libreCoverID: 1, + leads: 1, + liaisons: 1, + members: 1, + auditors: 1, + tags: 1, + publicAssets: 1, + instructorAssets: 1, + }, + }, + ]); + + const syncResult = await searchService.addDocuments("projects", projects); + debugServer("Projects search index sync completed."); + + return res.send({ + err: false, + msg: "Projects search index sync completed.", + syncResult, + }); + } catch (e) { + debugError(e); + return res.status(500).send({ + err: true, + errMsg: conductorErrors.err6, + }); + } +} + /** * Retrieves the LibreTexts standard identifier of the resource linked to a Project. * @@ -3916,5 +4085,6 @@ export default { constructProjectTeam, constructProjectTeamMemberQuery, LOOKUP_PROJECT_PI_STAGES, + syncWithSearchIndex, validate } diff --git a/server/api/search.ts b/server/api/search.ts index c7f7119e9..f4e22143a 100644 --- a/server/api/search.ts +++ b/server/api/search.ts @@ -1,4 +1,3 @@ -import Promise from "bluebird"; import User from "../models/user.js"; import Project from "../models/project.js"; import Book from "../models/book.js"; @@ -20,6 +19,7 @@ import { homeworkSearchSchema, miniReposSearchSchema, projectSearchSchema, + projectSearchV2Schema, userSearchSchema, } from "./validators/search.js"; import ProjectFile from "../models/projectfile.js"; @@ -36,9 +36,40 @@ import Tag from "../models/tag.js"; import { _getBookPublicOrInstructorAssetsCount, buildOrganizationNamesList } from "./books.js"; import CustomCatalog, { CustomCatalogInterface } from "../models/customcatalog.js"; import { normalizedSort } from "../util/searchutils.js"; +import SearchService from "./services/search-service.js"; const searchQueryCache: SearchQueryInterface_Raw[] = []; // in-memory cache for search queries +// Singleton SearchService instance +let searchServiceInstance: SearchService | null = null; +let searchServiceInitPromise: Promise | null = null; + +/** + * Gets or creates the singleton SearchService instance and handle errors gracefully. + */ +async function getSearchService(): Promise { + if (searchServiceInstance) { + return searchServiceInstance; + } + + if (searchServiceInitPromise) { + return searchServiceInitPromise; + } + + searchServiceInitPromise = SearchService.create() + .then((service) => { + searchServiceInstance = service; + return service; + }) + .catch((error) => { + debugError(`[SearchService] Failed to initialize SearchService: ${error}`); + searchServiceInitPromise = null; // Allow retry on next request + return null; + }); + + return searchServiceInitPromise; +} + /** * Performs a global search across multiple Conductor resource types (e.g. Projects, Books, etc.) */ @@ -2368,6 +2399,129 @@ async function getProjectFilterOptions(req: Request, res: Response) { } } +async function bookSearchV2( + req: z.infer, + res: Response){ + try { + if (!req.query.searchQuery) { + return res.send({ + err: false, + numResults: 0, + results: [], + }); + } + + const searchService = await getSearchService(); + if (!searchService) { + return res.status(503).send({ + err: true, + errMsg: "Search service is currently unavailable. Please try again later.", + }); + } + + const filterMap = _getNonNullFieldMap({ + library: req.query.library, + subject: req.query.subject, + location: req.query.location, + license: req.query.license, + author: req.query.author, + course: req.query.course, + publisher: req.query.publisher, + affiliation: req.query.affiliation, + }) + + const filterString = searchService.buildFilterString(filterMap); + const results = await searchService.search("books", req.query.searchQuery, { + limit: req.query.limit || 25, + ...(filterString ? { filter: filterString } : {}), + }) + + return res.send({ + err: false, + numResults: results.estimatedTotalHits, + results: results.hits, + }); + } catch (err) { + debugError(err); + return conductor500Err(res); + } +} + +async function projectSearchV2( + req: z.infer, + res: Response +) { + try { + if (!req.query.searchQuery) { + return res.send({ + err: false, + numResults: 0, + results: [], + }); + } + + const searchService = await getSearchService(); + if (!searchService) { + return res.status(503).send({ + err: true, + errMsg: + "Search service is currently unavailable. Please try again later.", + }); + } + + // if org is libretexts, don't filter by orgID since that includes all public projects across orgs + const resolvedOrgID = req.query.orgID || process.env.ORG_ID === 'libretexts' ? undefined : process.env.ORG_ID; + + const filterMap = _getNonNullFieldMap({ + status: req.query.status, + classification: req.query.classification, + visibility: "public", // TODO: enable private project search for auth'd users + orgID: resolvedOrgID, + }); + + const filterString = searchService.buildFilterString(filterMap); + const results = await searchService.search( + "projects", + req.query.searchQuery, + { + limit: req.query.limit || 25, + ...(filterString ? { filter: filterString } : {}), + } + ); + + return res.send({ + err: false, + numResults: results.estimatedTotalHits, + results: results.hits, + }); + } catch (err) { + debugError(err); + return conductor500Err(res); + } +} + +/** + * Takes an arbitrary object and returns only the fields whose values are non-null/undefined. + * Attempts to split comma-separated strings into arrays. Values are always returned as arrays even if single. + * Values that are not strings are stringified. + * @param obj - The input object to process. + * @returns A new object containing only non-null fields with their values as arrays. + */ +function _getNonNullFieldMap(obj: Record): Record { + const fieldMap: Record = {}; + for (const [key, value] of Object.entries(obj)) { + if (value !== null && value !== undefined) { + if (typeof value === "string" && value.includes(",")) { + fieldMap[key] = value.split(",").map((v) => v.trim()); + } else { + const stringified = String(value).trim(); + fieldMap[key] = [stringified]; + } + } + } + return fieldMap; +} + function _checkIsExactMatchQuery(query: string): [boolean, string] { let isExactMatchSearch = false; let strippedQuery = ""; @@ -2549,4 +2703,6 @@ export default { getAssetFilterOptions, getAuthorFilterOptions, getProjectFilterOptions, + bookSearchV2, + projectSearchV2, }; diff --git a/server/api/services/agent.ts b/server/api/services/agent.ts new file mode 100644 index 000000000..e88ca74e9 --- /dev/null +++ b/server/api/services/agent.ts @@ -0,0 +1,400 @@ +// server/api/services/agent.ts +import { ChatOpenAI } from '@langchain/openai'; +import { HumanMessage, AIMessage, BaseMessage } from '@langchain/core/messages'; +import { DynamicStructuredTool } from '@langchain/core/tools'; +import { StateGraph, END, START, MessagesAnnotation } from '@langchain/langgraph'; +import { ToolNode } from '@langchain/langgraph/prebuilt'; +import { z } from 'zod'; +import { qdrantService } from './qdrant.js'; +import AgentHistory from '../../models/agenthistory.js'; +import { + SYSTEM_PROMPTS, + TOOL_PROMPTS, + ERROR_MESSAGES, + buildSystemPrompt, +} from './prompts.js'; +import axios from 'axios'; + +export interface AgentSource { + number: number; + title: string; + description: string; + slug?: string; + url: string; + relevanceScore?: number; + source: 'kb' | 'web'; +} + +export interface AgentResponse { + response: string; + sources: AgentSource[]; + query: string; + timestamp: string; +} + +export class AgentService { + private llm: ChatOpenAI; + private readonly CONFIDENCE_THRESHOLD = 0.5; + + constructor() { + this.llm = new ChatOpenAI({ + modelName: 'gpt-4-turbo-preview', + temperature: 0.7, + openAIApiKey: process.env.OPENAI_API_KEY, + }); + } + + /** + * Create a new session + */ + async createSession(userId?: string): Promise { + const sessionId = `session_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`; + + await AgentHistory.create({ + sessionId, + userId, + messages: [], + metadata: { + collectionName: 'kb_pages', + totalQueries: 0, + lastActivity: new Date(), + }, + }); + + return sessionId; + } + + /** + * Load chat history from database + */ + private async loadChatHistory(sessionId: string): Promise { + const session = await AgentHistory.findOne({ sessionId }); + + if (!session || !session.messages || session.messages.length === 0) { + return []; + } + + return session.messages.map((msg: any) => { + if (msg.role === 'user') { + return new HumanMessage(msg.content); + } else { + return new AIMessage(msg.content); + } + }); + } + + /** + * Save messages to database + */ + private async saveMessages(sessionId: string, userMessage: string, aiMessage: string) { + await AgentHistory.updateOne( + { sessionId }, + { + $push: { + messages: [ + { role: 'user', content: userMessage }, + { role: 'agent', content: aiMessage }, + ], + }, + $set: { 'metadata.lastActivity': new Date() }, + $inc: { 'metadata.totalQueries': 1 }, + } + ); + } + + /** + * Google Search Tool using Serper API + */ + private createGoogleSearchTool() { + return new DynamicStructuredTool({ + name: TOOL_PROMPTS.googleSearch.name, + description: TOOL_PROMPTS.googleSearch.description, + schema: z.object({ + query: z.string().describe('The search query to send to Google'), + }), + func: async ({ query }) => { + try { + console.log(`🔍 Google Search: "${query}"`); + + if (!process.env.SERPER_API_KEY) { + return 'Google Search is not available (API key not configured)'; + } + + const response = await axios.post( + 'https://google.serper.dev/search', + { + q: query, + num: 5, // Get top 5 results + }, + { + headers: { + 'X-API-KEY': process.env.SERPER_API_KEY, + 'Content-Type': 'application/json', + }, + } + ); + + const results = response.data.organic || []; + + if (results.length === 0) { + return 'No results found on Google for this query.'; + } + + const formattedResults = results + .map((result: any, idx: number) => { + return `[${idx + 1}] ${result.title}\n${result.snippet}\nURL: ${result.link}`; + }) + .join('\n\n'); + + const output = `Google Search Results:\n\n${formattedResults}`; + + return `Google Search Results:\n\n${formattedResults}`; + } catch (error: any) { + console.error('Google Search error:', error.message); + return `Error searching Google: ${error.message}`; + } + }, + }); + } + + /** + * Vector Search Tool using Qdrant + */ + private createVectorSearchTool() { + return new DynamicStructuredTool({ + name: TOOL_PROMPTS.knowledgeBase.name, + description: TOOL_PROMPTS.knowledgeBase.description, + schema: z.object({ + query: z.string().describe('The search query to find relevant KB articles'), + limit: z.number().optional().default(3).describe('Number of results to return (default: 3)'), + }), + func: async ({ query, limit = 3 }) => { + try { + console.log(`📚 KB Search: "${query}" (limit: ${limit})`); + + const results = await qdrantService.searchSimilar(query, limit); + + if (results.length === 0) { + return 'No relevant articles found in the LibreTexts Knowledge Base.'; + } + + const formattedResults = results + .map((result, idx) => { + const cleanText = result.cleanText || (result.body as string)?.replace(/<[^>]*>/g, ' ').substring(0, 500); + return `[${idx + 1}] ${result.title}\n${result.description || ''}\nContent: ${cleanText}...\nURL: /insight/${result.slug}\nRelevance Score: ${result.score?.toFixed(3)}`; + }) + .join('\n\n'); + + const output = `Knowledge Base Results:\n\n${formattedResults}`; + + return `Knowledge Base Results:\n\n${formattedResults}`; + } catch (error: any) { + console.error('KB Search error:', error.message); + return `Error searching Knowledge Base: ${error.message}`; + } + }, + }); + } + + /** + * Determine if the agent should continue or end + */ + private shouldContinue(state: typeof MessagesAnnotation.State) { + const messages = state.messages; + const lastMessage = messages[messages.length - 1]; + + // If the last message has tool calls, continue to execute tools + if (lastMessage._getType() === 'ai' && (lastMessage as any).tool_calls?.length) { + return 'tools'; + } + + // Otherwise, end the conversation + return END; + } + + /** + * Call the LLM with tools + */ + private async callModel(state: typeof MessagesAnnotation.State) { + const messages = state.messages; + const response = await this.llm.invoke(messages); + return { messages: [response] }; + } + + /** + * Query with LangGraph Agent + */ + async queryWithLangGraph( + query: string, + sessionId: string, + systemPrompt: string = buildSystemPrompt({ tone: 'default', includeHistory: true }) + ): Promise { + try { + console.log(`🤖 LangGraph Agent Query: "${query}" [Session: ${sessionId}]`); + + // Load chat history + const chatHistory = await this.loadChatHistory(sessionId); + + // Create tools + const tools = [this.createVectorSearchTool(), this.createGoogleSearchTool()]; + + // Bind tools to LLM + const modelWithTools = this.llm.bindTools(tools); + + // Create tool node + const toolNode = new ToolNode(tools); + + // Create the graph + const workflow = new StateGraph(MessagesAnnotation) + .addNode('agent', async (state) => { + const messages = state.messages; + const response = await modelWithTools.invoke(messages); + return { messages: [response] }; + }) + .addNode('tools', toolNode) + .addEdge(START, 'agent') + .addConditionalEdges('agent', this.shouldContinue) + .addEdge('tools', 'agent'); + + const app = workflow.compile(); + + // Prepare initial messages + const initialMessages: BaseMessage[] = [ + new HumanMessage(systemPrompt), + ...chatHistory, + new HumanMessage(query), + ]; + + // Execute the graph + const finalState = await app.invoke({ + messages: initialMessages, + }); + + // Extract the final response + const messages = finalState.messages; + const lastMessage = messages[messages.length - 1]; + const aiResponse = lastMessage.content as string; + + // Extract sources from tool calls + const sources = this.extractSources(messages); + + // Save to database + await this.saveMessages(sessionId, query, aiResponse); + + return { + response: aiResponse, + sources, + query, + timestamp: new Date().toISOString(), + }; + } catch (error: any) { + console.error('❌ LangGraph Agent error:', error); + throw error; + } + } + + /** + * Extract sources from tool calls in messages + */ + private extractSources(messages: BaseMessage[]): AgentSource[] { + const sources: AgentSource[] = []; + let sourceNumber = 1; + + for (const message of messages) { + if (message._getType() === 'tool') { + const toolMessage = message as any; + const content = toolMessage.content; + + // Parse KB sources + if (content.includes('Knowledge Base Results:')) { + const kbMatches = content.matchAll(/\[(\d+)\] (.+?)\n.*?URL: (.+?)\n/g); + for (const match of kbMatches) { + sources.push({ + number: sourceNumber++, + title: match[2], + description: '', + url: match[3], + source: 'kb', + }); + } + } + + // Parse Google sources + if (content.includes('Google Search Results:')) { + const googleMatches = content.matchAll(/\[(\d+)\] (.+?)\n.*?URL: (.+?)(?:\n|$)/g); + for (const match of googleMatches) { + sources.push({ + number: sourceNumber++, + title: match[2], + description: '', + url: match[3], + source: 'web', + }); + } + } + } + } + + return sources; + } + + /** + * Backward compatibility: queryWithTools method + */ + async queryWithTools( + query: string, + sessionId: string, + collectionName: string = 'kb_pages', + systemPrompt: string = 'You are a helpful AI assistant for LibreTexts Knowledge Base.', + limit: number = 3 + ): Promise { + const response = await this.queryWithLangGraph(query, sessionId, systemPrompt); + return response.response; + } + + async getGraphVisualization(): Promise { + try { + // Create tools + const tools = [this.createVectorSearchTool(), this.createGoogleSearchTool()]; + + // Bind tools to LLM + const modelWithTools = this.llm.bindTools(tools); + + // Create tool node + const toolNode = new ToolNode(tools); + + // Create the graph (same as in queryWithLangGraph) + const workflow = new StateGraph(MessagesAnnotation) + .addNode('agent', async (state) => { + const messages = state.messages; + const response = await modelWithTools.invoke(messages); + return { messages: [response] }; + }) + .addNode('tools', toolNode) + .addEdge(START, 'agent') + .addConditionalEdges('agent', this.shouldContinue) + .addEdge('tools', 'agent'); + + const app = workflow.compile(); + + // Get the graph structure as Mermaid + const graph = app.getGraph(); + const mermaidString = graph.drawMermaid(); + + return mermaidString; + } catch (error: any) { + console.error('Error generating graph visualization:', error); + throw error; + } + } + + async exportGraphToFile(filename: string = 'agent-graph.mmd'): Promise { + const mermaid = await this.getGraphVisualization(); + const fs = await import('fs/promises'); + await fs.writeFile(filename, mermaid, 'utf-8'); + console.log(`✅ Graph exported to ${filename}`); + console.log('View it at: https://mermaid.live/'); + } +} + +export const agentService = new AgentService(); \ No newline at end of file diff --git a/server/api/services/lulu-service.ts b/server/api/services/lulu-service.ts index d03916fcb..b308ce1a6 100644 --- a/server/api/services/lulu-service.ts +++ b/server/api/services/lulu-service.ts @@ -138,9 +138,18 @@ export default class LuluService { throw new Error("BOOKSTORE_CONTACT_EMAIL environment variable is not set"); } + // Truncate name to 30 characters to meet Lulu's limit + const truncatedParams = { + ...params, + shipping_address: { + ...params.shipping_address, + name: params.shipping_address.name.substring(0, 30) + } + }; + const axiosInstance = await this.getAuthenticatedInstance(); const response = await axiosInstance.post('/print-jobs', { - ...params, + ...truncatedParams, contact_email: process.env.BOOKSTORE_CONTACT_EMAIL, production_delay: 120 }).catch((error) => { diff --git a/server/api/services/prompts.ts b/server/api/services/prompts.ts new file mode 100644 index 000000000..69160bef5 --- /dev/null +++ b/server/api/services/prompts.ts @@ -0,0 +1,181 @@ +/** + * System prompts for the agent + */ +export const SYSTEM_PROMPTS = { + default: `You are the LibreTexts AI Assistant, part of the LibreTexts team. Your ONLY purpose is to help users with LibreTexts-related questions. + +Your responsibilities: +- Answer questions about our platform features, documentation, and functionality +- Search our Knowledge Base for information +- Use Google Search ONLY for external LibreTexts-related information (news about LibreTexts, comparisons, reviews, links to libretexts resources/videos etc.) + +FORMATTING REQUIREMENTS: +- Use bullet points (•) or numbered lists for multi-point answers +- Break down complex information into clear, scannable sections +- Use headings (##) for major topics +- Keep paragraphs short and focused (2-3 sentences max) +- Use **bold** for key terms and important points +- Use line breaks generously for readability + +IMPORTANT: +- DO NOT answer general questions unrelated to LibreTexts +- If a question is not about LibreTexts, politely redirect to our support team +- Always cite your sources +- If you cannot find relevant information, suggest contacting our support team +- Use "we", "our", and "us" when referring to LibreTexts (e.g., "our support team", "our documentation", "we recommend")`, + + detailed: `You are the official LibreTexts AI Assistant, part of the LibreTexts team, focused exclusively on helping users with our platform questions. + +Your scope: +- Our platform features and functionality +- Our Knowledge Base articles and tutorials +- Our policies, guidelines, and documentation +- External information ABOUT LibreTexts (news, reviews, comparisons) + +RESPONSE FORMATTING RULES: +✓ Use bullet points (•) or numbered lists (1., 2., 3.) for all multi-step or multi-point answers +✓ Structure responses with clear sections using headings +✓ Highlight key information with **bold text** +✓ Keep each point concise (one sentence or phrase) +✓ Add blank lines between sections for visual clarity +✓ Use emojis sparingly for visual markers (✓, •, →, 📌, etc.) + +Example format: +## How to Create a Project + +**Steps:** +1. Navigate to the Projects page +2. Click "Create New Project" +3. Fill in the project details +4. Save your changes + +**Key points:** +• Projects can be public or private +• You can invite team members at any time +• All projects are automatically saved + +STRICT LIMITATIONS: +- Do NOT answer general knowledge questions (weather, news, other platforms) +- Do NOT provide information unrelated to LibreTexts +- When questions are outside your scope, direct users to our support team at support@libretexts.org + +Response guidelines: +- Search our Knowledge Base first for internal information +- Use Google Search only for external information ABOUT LibreTexts +- Always cite sources with proper attribution +- If no relevant information is found, acknowledge limitations and suggest contacting our support team +- Be helpful but stay within your LibreTexts-focused scope +- Always use first-person language: "we", "our", "us" when referring to LibreTexts, our team, our documentation, our support, etc.`, + + concise: `LibreTexts AI Assistant, part of the LibreTexts team. Answer only LibreTexts-related questions using bullet points or numbered lists. Direct other questions to our support team. Always cite sources. Use "we", "our", and "us" when referring to LibreTexts.`, +}; + + /** + * Tool descriptions and prompts + */ + export const TOOL_PROMPTS = { + knowledgeBase: { + name: 'knowledge_base_search', + description: `Search our Knowledge Base using semantic search. + + Use this tool when: + - Questions are about our platform features, functionality, or platform specifics + - User asks about tutorials, documentation, or how-to guides + - Questions relate to our internal resources or policies + - You need authoritative information from our knowledge base + + Examples of when to use: + - "How do I create a project in LibreTexts?" + - "What is the LibreTexts mission?" + - "How does the LibreTexts editor work?"`, + + parameterDescriptions: { + query: 'The search query to find relevant KB articles. Be specific and include key terms.', + limit: 'Number of results to return (default: 3). Use higher numbers for broad topics.', + }, + }, + + googleSearch: { + name: 'google_search', + description: `Search Google for current information, news, or topics not covered in the LibreTexts Knowledge Base. + + Use this tool when: + - Questions require current/real-time information (news, weather, stock prices) + - User asks about general knowledge not specific to LibreTexts + - Need information about external organizations, competitors, or general topics + - Questions about events, dates, or facts that change over time + + Examples of when to use: + - "What's the current weather in San Francisco?" + - "How does Khan Academy work?" + - "What are the latest trends in online education?" + - "When was Wikipedia founded?"`, + + parameterDescriptions: { + query: 'The search query to send to Google. Use natural language and be specific.', + }, + }, + }; + + /** + * Response formatting prompts + */ + export const RESPONSE_PROMPTS = { + withSources: ` + + When providing your answer: + 1. Give a clear, direct response + 2. Cite sources inline using [1], [2] format + 3. List all sources at the end with titles and links`, + + noSources: ` + + Please provide a direct, clear answer without source citations.`, + + comparison: ` + + When comparing items: + 1. Create a clear structure (side-by-side or point-by-point) + 2. Be objective and fact-based + 3. Cite sources for each claim`, + }; + + /** + * Error and fallback messages + */ + export const ERROR_MESSAGES = { + noKBResults: 'No relevant articles found in our Knowledge Base.', + noGoogleResults: 'No results found on Google for this query.', + googleUnavailable: 'Google Search is not available (API key not configured)', + searchError: (toolName: string) => `Error searching ${toolName}. Please try again.`, + generalError: "I couldn't find any relevant information to answer your question. Please try rephrasing or contact our support team for assistance.", + }; + + /** + * Helper to build context-aware prompts + */ + export const buildSystemPrompt = (options?: { + includeHistory?: boolean; + tone?: 'detailed' | 'concise' | 'default'; + additionalContext?: string; + }): string => { + const tone = options?.tone || 'default'; + let prompt = SYSTEM_PROMPTS[tone]; + + if (options?.additionalContext) { + prompt += `\n\nAdditional context: ${options.additionalContext}`; + } + + if (options?.includeHistory) { + prompt += `\n\nYou have access to the conversation history. Use it to provide contextual, coherent responses.`; + } + + return prompt; + }; + + /** + * Generate tool description with examples + */ + export const getToolDescription = (toolName: 'knowledgeBase' | 'googleSearch'): string => { + return TOOL_PROMPTS[toolName].description; + }; \ No newline at end of file diff --git a/server/api/services/qdrant.ts b/server/api/services/qdrant.ts new file mode 100644 index 000000000..d084b2eb2 --- /dev/null +++ b/server/api/services/qdrant.ts @@ -0,0 +1,229 @@ +// server/services/qdrant.ts +import { QdrantClient } from '@qdrant/js-client-rest'; +import OpenAI from 'openai'; + +const qdrantUrl = + process.env.QDRANT_URL || + process.env.QDRANT_HOST || + 'http://localhost:6333'; + +const qdrantClient = new QdrantClient({ + url: qdrantUrl, + apiKey: process.env.QDRANT_API_KEY, + port: Number(process.env.QDRANT_PORT) || 443, +}); + +const openai = new OpenAI({ + apiKey: process.env.OPENAI_API_KEY!, +}); + +console.log('Testing Qdrant connection...'); + +async function testQdrantConnection() { + try { + console.log('Testing Qdrant connection Again...'); + // Test connection by listing collections + const collections = await qdrantClient.getCollections(); + console.log('✅ Qdrant connection OK'); + } catch (error: any) { + console.error('❌ Failed to connect to Qdrant'); + console.error('Error message:', error.message); + if (error.cause) console.error('Cause:', error.cause); + } + } + + // Run connection test + await testQdrantConnection(); + +export class QdrantService { + private collectionName = 'kb_pages'; + private vectorSize = 1536; // OpenAI text-embedding-3-small dimension + + // Initialize Qdrant collection + async initializeCollection() { + try { + // Check if collection exists + console.log('Checking if collection exists ...'); + const collections = await qdrantClient.getCollections(); + console.log('collections', collections); + const collectionExists = collections.collections.some( + col => col.name === this.collectionName + ); + console.log('collectionExists', collectionExists); + + if (!collectionExists) { + console.log(`Creating Qdrant collection: ${this.collectionName}`); + + await qdrantClient.createCollection(this.collectionName, { + vectors: { + size: this.vectorSize, + distance: 'Cosine', // Use cosine similarity + }, + optimizers_config: { + default_segment_number: 2, + }, + replication_factor: 1, + }); + + console.log('Collection created successfully'); + } else { + console.log('Collection already exists'); + } + + return true; + } catch (error) { + console.error('Error initializing Qdrant collection:', error); + throw error; + } + } + + // Generate embeddings from text + async generateEmbeddings(text: string): Promise { + try { + // Clean HTML content to plain text + const cleanText = text + .replace(/<[^>]*>/g, ' ') + .replace(/\s+/g, ' ') + .trim(); + + const response = await openai.embeddings.create({ + model: 'text-embedding-3-small', + input: cleanText, + }); + + return response.data[0].embedding; + } catch (error) { + console.error('Error generating embeddings:', error); + throw error; + } + } + + // Upsert a single KB page to Qdrant + async upsertKBPage(kbPage: any) { + try { + const embeddings = await this.generateEmbeddings(kbPage.body); + + const point = { + id: kbPage.uuid, // Use UUID as point ID + vector: embeddings, + payload: { + uuid: kbPage.uuid, + title: kbPage.title, + description: kbPage.description, + body: kbPage.body, + slug: kbPage.slug, + status: kbPage.status, + parent: kbPage.parent, + lastEditedByUUID: kbPage.lastEditedByUUID, + createdAt: kbPage.createdAt, + updatedAt: kbPage.updatedAt, + // Store clean text for better search + cleanText: kbPage.body.replace(/<[^>]*>/g, ' ').replace(/\s+/g, ' ').trim(), + }, + }; + + await qdrantClient.upsert(this.collectionName, { + wait: true, + points: [point], + }); + + return { success: true, uuid: kbPage.uuid }; + } catch (error) { + console.error(`Error upserting KB page ${kbPage.uuid}:`, error); + return { success: false, uuid: kbPage.uuid, error: (error as Error).message }; + } + } + + // Batch upsert multiple KB pages + async batchUpsertKBPages(kbPages: any[], batchSize: number = 10) { + const results: any[] = []; + + for (let i = 0; i < kbPages.length; i += batchSize) { + const batch = kbPages.slice(i, i + batchSize); + console.log(`Processing batch ${Math.floor(i/batchSize) + 1}/${Math.ceil(kbPages.length/batchSize)}`); + + const batchPromises = batch.map(page => this.upsertKBPage(page)); + const batchResults = await Promise.allSettled(batchPromises); + + batchResults.forEach((result, index) => { + if (result.status === 'fulfilled') { + results.push(result.value); + } else { + results.push({ + success: false, + uuid: batch[index].uuid, + error: result.reason?.message || 'Unknown error' + }); + } + }); + + // Add delay to avoid rate limiting + if (i + batchSize < kbPages.length) { + await new Promise(resolve => setTimeout(resolve, 1000)); + } + } + + return results; + } + + // Search similar pages + async searchSimilar(query: string, limit: number = 5, filter?: any) { + try { + const queryEmbedding = await this.generateEmbeddings(query); + + const searchResult = await qdrantClient.search(this.collectionName, { + vector: queryEmbedding, + limit, + with_payload: true, + filter: filter || { + must: [ + { + key: 'status', + match: { value: 'published' } + } + ] + }, + }); + + return searchResult.map(point => ({ + uuid: point.payload?.uuid, + title: point.payload?.title, + description: point.payload?.description, + body: point.payload?.body, + slug: point.payload?.slug, + score: point.score, + cleanText: point.payload?.cleanText, + })); + } catch (error) { + console.error('Error searching Qdrant:', error); + throw error; + } + } + + // Get collection info + async getCollectionInfo() { + try { + const info = await qdrantClient.getCollection(this.collectionName); + return info; + } catch (error) { + console.error('Error getting collection info:', error); + throw error; + } + } + + // Delete a point + async deleteKBPage(uuid: string) { + try { + await qdrantClient.delete(this.collectionName, { + wait: true, + points: [uuid], + }); + return { success: true, uuid }; + } catch (error) { + console.error(`Error deleting KB page ${uuid}:`, error); + return { success: false, uuid, error: (error as Error).message }; + } + } +} + +export const qdrantService = new QdrantService(); \ No newline at end of file diff --git a/server/api/services/search-service.ts b/server/api/services/search-service.ts new file mode 100644 index 000000000..018f57ac1 --- /dev/null +++ b/server/api/services/search-service.ts @@ -0,0 +1,131 @@ +import { Index, MeiliSearch } from "meilisearch"; +import { debugServer } from "../../debug"; + +export const INDEXES = ["books", "projects"] as const; +const INDEX_NOT_FOUND_ERROR = + "Index was not found. Are you using the correct index name?"; + +export const INDEX_FILTERABLE_ATTRIBUTES = { + books: ["bookID", "library", "license", "author", "course", "affiliation"], + projects: ["status", "classification", "visibility", "orgID"], +}; + +export default class SearchService { + private client = new MeiliSearch({ + host: process.env.MEILISEARCH_URL || "http://localhost:7700", + apiKey: process.env.MEILISEARCH_API_KEY || "", + }); + private indexes = new Map(); + + private constructor() {} + + static async create(): Promise { + const instance = new SearchService(); + await instance.initialize(); + return instance; + } + + private async initialize() { + try { + for (const indexName of INDEXES) { + const index = await this.ensureIndex(indexName); + if (index) { + this.indexes.set(indexName, index); + } + } + } catch (error: any) { + debugServer(`[SearchService] Error initializing indexes: ${error}`); + throw error; + } + } + + async ensureIndex(indexName: (typeof INDEXES)[number]) { + try { + const indexes = await this.client.getIndexes(); + const foundIndex = indexes.results.find((idx) => idx.uid === indexName); + if (foundIndex) { + // Ensure filterable attributes are updated + const attrs = INDEX_FILTERABLE_ATTRIBUTES[indexName]; + if (attrs) { + await foundIndex.updateFilterableAttributes(attrs); + } + return foundIndex; + } + + if (indexName === "books") { + await this.client.createIndex(indexName, { primaryKey: "bookID" }); + const index = this.client.index(indexName); + await index.updateFilterableAttributes( + INDEX_FILTERABLE_ATTRIBUTES.books + ); + return index; + } + if (indexName === "projects") { + await this.client.createIndex(indexName, { primaryKey: "projectID" }); + const index = this.client.index(indexName); + await index.updateFilterableAttributes( + INDEX_FILTERABLE_ATTRIBUTES.projects + ); + return index; + } + } catch (error: any) { + debugServer( + `[SearchService] Error ensuring index ${indexName} exists: ${error}` + ); + throw error; + } + } + + async addDocuments(indexName: (typeof INDEXES)[number], documents: any[]) { + try { + const index = this.indexes.get(indexName); + if (!index) { + throw new Error(INDEX_NOT_FOUND_ERROR); + } + + return index.addDocuments(documents); + } catch (error: any) { + debugServer( + `[SearchService] Error adding documents to index ${indexName}: ${error}` + ); + throw error; + } + } + + async search( + indexName: (typeof INDEXES)[number], + query: string, + options = {} + ) { + try { + const index = this.indexes.get(indexName); + if (!index) { + throw new Error(INDEX_NOT_FOUND_ERROR); + } + return index.search(query, options); + } catch (error: any) { + debugServer( + `[SearchService] Error searching index ${indexName}: ${error}` + ); + throw error; + } + } + + buildFilterString(fieldMap: Record): string { + const filterParts: string[] = []; + for (const [field, values] of Object.entries(fieldMap)) { + if (values.length === 1) { + filterParts.push(`${field} = "${this.escapeFilterValue(values[0])}"`); + } else if (values.length > 1) { + const orParts = values.map((value) => `${field} = "${this.escapeFilterValue(value)}"`); + filterParts.push(`(${orParts.join(" OR ")})`); + } + } + return filterParts.join(" AND "); + } + + private escapeFilterValue(value: string): string { + // Escape double quotes and backslashes + return value.replace(/\\/g, "\\\\").replace(/"/g, '\\"'); + } +} diff --git a/server/api/services/store-service.ts b/server/api/services/store-service.ts index 92a47a7fe..d7d041cf1 100644 --- a/server/api/services/store-service.ts +++ b/server/api/services/store-service.ts @@ -532,6 +532,39 @@ class StoreService { throw new Error("No shipping options found for the provided items"); } + const shippingLevelDeliveryDays: Record = { + 'MAIL': { min: 13, max: 15 }, + 'PRIORITY_MAIL': { min: 11, max: 13 }, + 'GROUND_HD': { min: 12, max: 14 }, + 'GROUND_BUS': { min: 12, max: 14 }, + 'GROUND': { min: 12, max: 14 }, + 'EXPEDITED': { min: 8, max: 9 }, + 'EXPRESS': { min: 9, max: 10 }, + }; + + // Get today's date (order date) + const today = new Date(); + today.setHours(0, 0, 0, 0); + + // Helper function to add business days (excluding weekends) + const addBusinessDays = (date: Date, days: number): Date => { + const result = new Date(date); + let added = 0; + while (added < days) { + result.setDate(result.getDate() + 1); + // Skip weekends (Saturday = 6, Sunday = 0) + if (result.getDay() !== 0 && result.getDay() !== 6) { + added++; + } + } + return result; + }; + + // Helper function to format date as ISO string + const formatDate = (date: Date): string => { + return date.toISOString().split('T')[0]; + }; + const mapped = filtered_shipping_options.map((opt) => { // ensure cost_excl_tax is a number and convert it to cents if (!opt.cost_excl_tax || isNaN(parseFloat(opt.cost_excl_tax))) { @@ -540,6 +573,18 @@ class StoreService { } const costInCents = Math.round(parseFloat(opt.cost_excl_tax) * 100); + // Get delivery days for this shipping level (fallback to MAIL if not found) + const shippingLevel = opt.level || 'MAIL'; + const deliveryDays = shippingLevelDeliveryDays[shippingLevel] || shippingLevelDeliveryDays['MAIL']; + + // Calculate date estimates + const productionStartDate = addBusinessDays(today, 2); + const productionEndDate = addBusinessDays(today, 4); + const shipDateStart = addBusinessDays(today, 6); + const shipDateEnd = addBusinessDays(today, 10); + const deliveryDateStart = addBusinessDays(today, deliveryDays.min); + const deliveryDateEnd = addBusinessDays(today, deliveryDays.max); + return { id: opt.id, title: `${opt.level}${opt.carrier_service_name ? ` (${opt.carrier_service_name})` : ''}`, @@ -547,6 +592,12 @@ class StoreService { total_days_max: opt.total_days_max, lulu_shipping_level: opt.level, cost_excl_tax: costInCents, + production_start_date_estimate: formatDate(productionStartDate), + production_end_date_estimate: formatDate(productionEndDate), + ship_date_start_estimate: formatDate(shipDateStart), + ship_date_end_estimate: formatDate(shipDateEnd), + delivery_date_start_estimate: formatDate(deliveryDateStart), + delivery_date_end_estimate: formatDate(deliveryDateEnd), } }); @@ -727,6 +778,14 @@ class StoreService { storeOrder.status = 'completed'; } + if (data.status?.name === 'REJECTED') { + if (process.env.BOOKSTORE_CONTACT_EMAIL) { + await mailAPI.sendStoreOrderRejectedInternalNotification(process.env.BOOKSTORE_CONTACT_EMAIL, storeOrder.id, data.status.message || '').catch((err) => { + debug("Failed to send store order rejected internal notification email:", err); + }); + } + } + storeOrder.luluJobID = data.id.toString(); // Update the Lulu job ID (e.g. on resubmits) storeOrder.luluJobStatus = data.status?.name || "unknown"; storeOrder.luluJobStatusMessage = data.status?.message || ""; @@ -1431,6 +1490,12 @@ class StoreService { * @param error - The error message to set on the store order. */ private async _failStoreOrder(storeOrder: RawStoreOrder, error: string) { + if (process.env.BOOKSTORE_CONTACT_EMAIL) { + await mailAPI.sendStoreOrderFailedInternalNotification(process.env.BOOKSTORE_CONTACT_EMAIL, storeOrder.id, error).catch((err) => { + debug("Failed to send internal notification email for failed store order:", err); + }); + } + return await StoreOrder.updateOne({ id: storeOrder.id, }, { diff --git a/server/api/validators/kb.ts b/server/api/validators/kb.ts index 1f965816e..d7fb4eb09 100644 --- a/server/api/validators/kb.ts +++ b/server/api/validators/kb.ts @@ -88,3 +88,22 @@ export const GetOEmbedValidator = z.object({ url: z.string().url(), }), }); + +// Qdrant Migration +export const MigrateToQdrantValidator = z.object({ + query: z.object({ + start: z.coerce.number().int().min(0).optional().default(0), + stop: z.union([ + z.literal("all"), + z.coerce.number().int().min(0), + ]).optional(), + }), +}); + +// Agent Query +export const AgentQueryLangGraphValidator = z.object({ + body: z.object({ + query: z.string().min(1, "Query is required and must be a non-empty string"), + sessionId: z.string().min(1, "SessionId is required and must be a non-empty string"), + }), +}); diff --git a/server/api/validators/projectfiles.ts b/server/api/validators/projectfiles.ts index dfdc528fa..d3cfdf3ec 100644 --- a/server/api/validators/projectfiles.ts +++ b/server/api/validators/projectfiles.ts @@ -143,7 +143,6 @@ export const bulkDownloadProjectFilesSchema = z.object({ }), query: z.object({ fileIDs: z.string().max(2200), // allow for approx 50 file IDs in format 'fileID=123&fileID=456&fileID=789', will be parsed by the handling function - emailToNotify: z.string().email(), }), }); diff --git a/server/api/validators/search.ts b/server/api/validators/search.ts index 8e7529d79..068903c62 100644 --- a/server/api/validators/search.ts +++ b/server/api/validators/search.ts @@ -21,96 +21,98 @@ const _commonItems = z.object({ }); export const assetSearchSchema = z.object({ - query: z - .object({ - license: z.string().optional(), - licenseVersion: z.string().optional(), - org: z.string().optional(), - fileType: z.string().optional(), - person: z.string().optional(), - customFilters: z.array(z.object({ key: z.string(), value: z.string() })).optional(), - }) - .merge(_commonItems), + query: z.object({ + license: z.string().optional(), + licenseVersion: z.string().optional(), + org: z.string().optional(), + fileType: z.string().optional(), + person: z.string().optional(), + customFilters: z + .array(z.object({ key: z.string(), value: z.string() })) + .optional(), + ..._commonItems.shape, + }), }); export const bookSearchSchema = z.object({ - query: z - .object({ - library: z.string().optional(), - subject: z.string().optional(), - location: z.enum(["campus", "central"]).optional(), - license: z.string().optional(), - author: z.string().optional(), - course: z.string().optional(), - publisher: z.string().optional(), - affiliation: z.string().optional(), - //CID: z.string().optional(), - assets: z.enum(["public", "instructors"]).optional(), - sort: z - .enum(["title", "author", "library", "subject", "affiliation"]) - .default("title"), - }) - .merge(_commonItems), + query: z.object({ + library: z.string().optional(), + subject: z.string().optional(), + location: z.enum(["campus", "central"]).optional(), + license: z.string().optional(), + author: z.string().optional(), + course: z.string().optional(), + publisher: z.string().optional(), + affiliation: z.string().optional(), + //CID: z.string().optional(), + assets: z.enum(["public", "instructors"]).optional(), + sort: z + .enum(["title", "author", "library", "subject", "affiliation"]) + .default("title"), + ..._commonItems.shape, + }), }); export const homeworkSearchSchema = z.object({ - query: z - .object({ - sort: z.enum(["name", "description"]).default("name"), - }) - .merge(_commonItems), + query: z.object({ + sort: z.enum(["name", "description"]).default("name"), + ..._commonItems.shape, + }), }); export const miniReposSearchSchema = z.object({ - query: z - .object({ - status: z.string().default("any"), - sort: z - .enum([ - "relevance", - "title", - ]) - .default("relevance"), - }) - .merge(_commonItems), + query: z.object({ + status: z.string().default("any"), + sort: z.enum(["relevance", "title"]).default("relevance"), + ..._commonItems.shape, + }), }); export const projectSearchSchema = z.object({ - query: z - .object({ - location: z.enum(["local", "global"]).default("global"), - status: z.string().default("any"), - classification: z.string().default("any"), - leads: z.coerce.boolean().optional(), - principalInvestigators: z.coerce.boolean().optional(), - sort: z - .enum([ - "relevance", - "title", - "progress", - "classification", - "visibility", - "lead", - "updated", - ]) - .default("relevance"), - }) - .merge(_commonItems), + query: z.object({ + location: z.enum(["local", "global"]).default("global"), + status: z.string().default("any"), + classification: z.string().default("any"), + leads: z.coerce.boolean().optional(), + principalInvestigators: z.coerce.boolean().optional(), + sort: z + .enum([ + "relevance", + "title", + "progress", + "classification", + "visibility", + "lead", + "updated", + ]) + .default("relevance"), + ..._commonItems.shape, + }), +}); + +export const projectSearchV2Schema = z.object({ + query: z.object({ + searchQuery: z.string().optional(), + status: z.string().optional(), + classification: z.string().optional(), + visibility: z.string().optional(), + orgID: z.string().optional(), + limit: z.coerce.number().min(1).default(25), + page: z.coerce.number().min(1).default(1), + }), }); export const authorsSearchSchema = z.object({ - query: z - .object({ - primaryInstitution: z.string().optional(), - sort: z.enum(["first", "last"]).default("first"), - }) - .merge(_commonItems), + query: z.object({ + primaryInstitution: z.string().optional(), + sort: z.enum(["first", "last"]).default("first"), + ..._commonItems.shape, + }), }); export const userSearchSchema = z.object({ - query: z - .object({ - sort: z.enum(["first", "last"]).default("first"), - }) - .merge(_commonItems), + query: z.object({ + sort: z.enum(["first", "last"]).default("first"), + ..._commonItems.shape, + }), }); diff --git a/server/models/agenthistory.ts b/server/models/agenthistory.ts new file mode 100644 index 000000000..73b3a92be --- /dev/null +++ b/server/models/agenthistory.ts @@ -0,0 +1,92 @@ +// server/models/agenthistory.ts +import { Schema, model, Document } from 'mongoose'; + +export interface AgentMessageInterface { + role: 'user' | 'agent'; + content: string; + timestamp: Date; + confidence?: number; + sources?: Array<{ + title: string; + slug: string; + url: string; + }>; +} + +export interface AgentHistoryInterface extends Document { + sessionId: string; + userId?: string; + messages: AgentMessageInterface[]; + metadata: { + collectionName: string; + totalQueries: number; + lastActivity: Date; + }; + createdAt: Date; + updatedAt: Date; +} + +const AgentHistorySchema = new Schema( + { + sessionId: { + type: String, + required: true, + unique: true, + index: true, + }, + userId: { + type: String, + index: true, + }, + messages: [ + { + role: { + type: String, + enum: ['user', 'agent'], + required: true, + }, + content: { + type: String, + required: true, + }, + timestamp: { + type: Date, + default: Date.now, + }, + confidence: Number, + sources: [ + { + title: String, + slug: String, + url: String, + }, + ], + }, + ], + metadata: { + collectionName: { + type: String, + default: 'kb_pages', + }, + totalQueries: { + type: Number, + default: 0, + }, + lastActivity: { + type: Date, + default: Date.now, + }, + }, + }, + { + timestamps: true, + } +); + +// Auto-update lastActivity on save +AgentHistorySchema.pre('save', function (next) { + this.metadata.lastActivity = new Date(); + next(); +}); + +export default model('AgentHistory', AgentHistorySchema); \ No newline at end of file diff --git a/server/models/kbpage.ts b/server/models/kbpage.ts index 7ad217a75..60e6583b7 100644 --- a/server/models/kbpage.ts +++ b/server/models/kbpage.ts @@ -11,6 +11,8 @@ export interface KBPageInterface extends Document { parent?: string; imgURLs?: string[]; lastEditedByUUID: string; // User uuid + embeddings?: number[]; + embeddingsUpdatedAt?: Date; } const KBPageSchema = new Schema( @@ -50,6 +52,12 @@ const KBPageSchema = new Schema( type: String, required: true, }, + embeddings: { + type: [Number], + }, + embeddingsUpdatedAt: { + type: Date, + }, }, { timestamps: true, diff --git a/server/package-lock.json b/server/package-lock.json index c00f85fd9..b732e2e4b 100644 --- a/server/package-lock.json +++ b/server/package-lock.json @@ -11,7 +11,12 @@ "@aws-sdk/client-s3": "^3.621.0", "@aws-sdk/client-ssm": "^3.621.0", "@aws-sdk/cloudfront-signer": "^3.127.0", + "@langchain/core": "^1.0.1", + "@langchain/langgraph": "^1.0.1", + "@langchain/mongodb": "^1.0.0", + "@langchain/openai": "^1.0.0", "@node-oauth/oauth2-server": "^4.2.0", + "@qdrant/js-client-rest": "^1.15.1", "@types/adm-zip": "^0.5.3", "adm-zip": "^0.5.10", "async": "^3.2.0", @@ -31,12 +36,13 @@ "date-fns": "^2.30.0", "date-fns-tz": "^2.0.0", "debug": "^4.3.2", - "dotenv": "^10.0.0", + "dotenv": "^16.6.1", "entities": "^6.0.0", "exceljs": "^4.3.0", "express": "^4.21.2", "express-rate-limit": "^8.1.0", "express-validator": "^6.12.0", + "extended-eventsource": "^2.1.0", "form-data": "^4.0.4", "fs-extra": "^10.0.0", "fuse.js": "^7.0.0", @@ -44,9 +50,12 @@ "helmet": "^4.1.1", "isomorphic-dompurify": "^1.9.0", "jose": "^4.15.5", + "langchain": "^0.1.37", "mailgun.js": "^10.2.1", "marked": "^4.0.10", + "meilisearch": "^0.54.0", "mime": "^4.1.0", + "mongodb": "^6.20.0", "mongoose": "^8.15.0", "multer": "^2.0.2", "node-cache": "^5.1.2", @@ -85,6 +94,23 @@ "typescript": "^5.4.2" } }, + "node_modules/@anthropic-ai/sdk": { + "version": "0.9.1", + "resolved": "https://registry.npmjs.org/@anthropic-ai/sdk/-/sdk-0.9.1.tgz", + "integrity": "sha512-wa1meQ2WSfoY8Uor3EdrJq0jTiZJoKoSii2ZVWRY1oN4Tlr5s59pADg9T79FTbPe1/se5c3pBeZgJL63wmuoBA==", + "license": "MIT", + "dependencies": { + "@types/node": "^18.11.18", + "@types/node-fetch": "^2.6.4", + "abort-controller": "^3.0.0", + "agentkeepalive": "^4.2.1", + "digest-fetch": "^1.3.0", + "form-data-encoder": "1.7.2", + "formdata-node": "^4.3.2", + "node-fetch": "^2.6.7", + "web-streams-polyfill": "^3.2.1" + } + }, "node_modules/@asamuzakjp/css-color": { "version": "3.2.0", "resolved": "https://registry.npmjs.org/@asamuzakjp/css-color/-/css-color-3.2.0.tgz", @@ -312,65 +338,65 @@ } }, "node_modules/@aws-sdk/client-s3": { - "version": "3.947.0", - "resolved": "https://registry.npmjs.org/@aws-sdk/client-s3/-/client-s3-3.947.0.tgz", - "integrity": "sha512-ICgnI8D3ccIX9alsLksPFY2bX5CAIbyB+q19sXJgPhzCJ5kWeQ6LQ5xBmRVT5kccmsVGbbJdhnLXHyiN5LZsWg==", + "version": "3.958.0", + "resolved": "https://registry.npmjs.org/@aws-sdk/client-s3/-/client-s3-3.958.0.tgz", + "integrity": 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"resolved": "https://registry.npmjs.org/slash/-/slash-3.0.0.tgz", @@ -9931,9 +11782,9 @@ } }, "node_modules/spacetime": { - "version": "7.11.0", - "resolved": "https://registry.npmjs.org/spacetime/-/spacetime-7.11.0.tgz", - "integrity": "sha512-B1UvApzFBSHvxAvaOM/0RM2XfEahEL4EeuwRqlo3sycARP1fiGSmhm+PXDeZ/m49wZahHcnAex8j56SyRP2NJg==", + "version": "7.12.0", + "resolved": "https://registry.npmjs.org/spacetime/-/spacetime-7.12.0.tgz", + "integrity": "sha512-n7iQdr/oiTc0Yc0m5/8lpqRPMxuD9c6Yk7F8Np5+jH7tawt+dJZeCLDHNnr2kP5tUlv1H0fazdCOE9EQUv0B3g==", "license": "Apache-2.0" }, "node_modules/sparse-bitfield": { @@ -10132,9 +11983,9 @@ } }, "node_modules/strnum": { - "version": "2.1.1", - "resolved": "https://registry.npmjs.org/strnum/-/strnum-2.1.1.tgz", - "integrity": "sha512-7ZvoFTiCnGxBtDqJ//Cu6fWtZtc7Y3x+QOirG15wztbdngGSkht27o2pyGWrVy0b4WAy3jbKmnoK6g5VlVNUUw==", + "version": "2.1.2", + "resolved": "https://registry.npmjs.org/strnum/-/strnum-2.1.2.tgz", + "integrity": 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{ "@scarf/scarf": "=1.4.0" @@ -10610,49 +12460,6 @@ "url": "https://paulmillr.com/funding/" } }, - "node_modules/tsup/node_modules/postcss-load-config": { - "version": "6.0.1", - "resolved": "https://registry.npmjs.org/postcss-load-config/-/postcss-load-config-6.0.1.tgz", - "integrity": "sha512-oPtTM4oerL+UXmx+93ytZVN82RrlY/wPUV8IeDxFrzIjXOLF1pN+EmKPLbubvKHT2HC20xXsCAH2Z+CKV6Oz/g==", - "dev": true, - "funding": [ - { - "type": "opencollective", - "url": "https://opencollective.com/postcss/" - }, - { - "type": "github", - "url": "https://github.com/sponsors/ai" - } - ], - "license": "MIT", - "dependencies": { - "lilconfig": "^3.1.1" - }, - "engines": { - "node": ">= 18" - }, - "peerDependencies": { - "jiti": ">=1.21.0", - "postcss": ">=8.0.9", - "tsx": "^4.8.1", - "yaml": "^2.4.2" - }, - "peerDependenciesMeta": { - "jiti": { - "optional": true - }, - "postcss": { - "optional": true - }, - "tsx": { - "optional": true - }, - "yaml": { - "optional": true - } - } - }, "node_modules/tsup/node_modules/readdirp": { "version": "4.1.2", "resolved": "https://registry.npmjs.org/readdirp/-/readdirp-4.1.2.tgz", @@ -10845,7 +12652,6 @@ "version": "5.9.3", "resolved": "https://registry.npmjs.org/typescript/-/typescript-5.9.3.tgz", "integrity": "sha512-jl1vZzPDinLr9eUt3J/t7V6FgNEw9QjvBPdysz9KfQDD41fQrC2Y4vKQdiaUpFT4bXlb1RHhLpp8wtm6M5TgSw==", - "dev": true, "license": "Apache-2.0", "bin": { "tsc": "bin/tsc", @@ -10882,12 +12688,12 @@ } }, "node_modules/undici": { - "version": "7.16.0", - "resolved": "https://registry.npmjs.org/undici/-/undici-7.16.0.tgz", - "integrity": "sha512-QEg3HPMll0o3t2ourKwOeUAZ159Kn9mx5pnzHRQO8+Wixmh88YdZRiIwat0iNzNNXn0yoEtXJqFpyW7eM8BV7g==", + "version": "6.22.0", + "resolved": "https://registry.npmjs.org/undici/-/undici-6.22.0.tgz", + "integrity": "sha512-hU/10obOIu62MGYjdskASR3CUAiYaFTtC9Pa6vHyf//mAipSvSQg6od2CnJswq7fvzNS3zJhxoRkgNVaHurWKw==", "license": "MIT", "engines": { - "node": ">=20.18.1" + "node": ">=18.17" } }, "node_modules/undici-types": { @@ -11047,9 +12853,9 @@ } }, "node_modules/validator": { - "version": "13.15.23", - "resolved": "https://registry.npmjs.org/validator/-/validator-13.15.23.tgz", - "integrity": "sha512-4yoz1kEWqUjzi5zsPbAS/903QXSYp0UOtHsPpp7p9rHAw/W+dkInskAE386Fat3oKRROwO98d9ZB0G4cObgUyw==", + "version": "13.15.26", + "resolved": "https://registry.npmjs.org/validator/-/validator-13.15.26.tgz", + "integrity": "sha512-spH26xU080ydGggxRyR1Yhcbgx+j3y5jbNXk/8L+iRvdIEQ4uTRH2Sgf2dokud6Q4oAtsbNvJ1Ft+9xmm6IZcA==", "license": "MIT", "engines": { "node": ">= 0.10" @@ -11076,6 +12882,15 @@ "node": ">=18" } }, + "node_modules/web-streams-polyfill": { + "version": "3.3.3", + "resolved": "https://registry.npmjs.org/web-streams-polyfill/-/web-streams-polyfill-3.3.3.tgz", + "integrity": "sha512-d2JWLCivmZYTSIoge9MsgFCZrt571BikcWGYkjC1khllbTeDlGqZ2D8vD8E/lJa8WGWbb7Plm8/XJYV7IJHZZw==", + "license": "MIT", + "engines": { + "node": ">= 8" + } + }, "node_modules/webidl-conversions": { "version": "7.0.0", "resolved": "https://registry.npmjs.org/webidl-conversions/-/webidl-conversions-7.0.0.tgz", @@ -11302,13 +13117,18 @@ } }, "node_modules/yaml": { - "version": "1.10.2", - "resolved": "https://registry.npmjs.org/yaml/-/yaml-1.10.2.tgz", - "integrity": "sha512-r3vXyErRCYJ7wg28yvBY5VSoAF8ZvlcW9/BwUzEtUsjvX/DKs24dIkuwjtuprwJJHsbyUbLApepYTR1BN4uHrg==", + "version": "2.8.2", + "resolved": "https://registry.npmjs.org/yaml/-/yaml-2.8.2.tgz", + "integrity": "sha512-mplynKqc1C2hTVYxd0PU2xQAc22TI1vShAYGksCCfxbn/dFwnHTNi1bvYsBTkhdUNtGIf5xNOg938rrSSYvS9A==", "license": "ISC", - "peer": true, + "bin": { + "yaml": "bin.mjs" + }, "engines": { - "node": ">= 6" + "node": ">= 14.6" + }, + "funding": { + "url": "https://github.com/sponsors/eemeli" } }, "node_modules/yocto-queue": { @@ -11360,9 +13180,9 @@ } }, "node_modules/zod": { - "version": "4.1.13", - "resolved": "https://registry.npmjs.org/zod/-/zod-4.1.13.tgz", - "integrity": "sha512-AvvthqfqrAhNH9dnfmrfKzX5upOdjUVJYFqNSlkmGf64gRaTzlPwz99IHYnVs28qYAybvAlBV+H7pn0saFY4Ig==", + "version": "4.2.1", + "resolved": "https://registry.npmjs.org/zod/-/zod-4.2.1.tgz", + "integrity": "sha512-0wZ1IRqGGhMP76gLqz8EyfBXKk0J2qo2+H3fi4mcUP/KtTocoX08nmIAHl1Z2kJIZbZee8KOpBCSNPRgauucjw==", "license": "MIT", "funding": { "url": "https://github.com/sponsors/colinhacks" @@ -11379,6 +13199,15 @@ "peerDependencies": { "zod": ">= 3.11.0" } + }, + "node_modules/zod-to-json-schema": { + "version": "3.25.0", + "resolved": "https://registry.npmjs.org/zod-to-json-schema/-/zod-to-json-schema-3.25.0.tgz", + "integrity": "sha512-HvWtU2UG41LALjajJrML6uQejQhNJx+JBO9IflpSja4R03iNWfKXrj6W2h7ljuLyc1nKS+9yDyL/9tD1U/yBnQ==", + "license": "ISC", + "peerDependencies": { + "zod": "^3.25 || ^4" + } } } } diff --git a/server/package.json b/server/package.json index 26b980edc..f9c312fc3 100644 --- a/server/package.json +++ b/server/package.json @@ -13,7 +13,12 @@ "@aws-sdk/client-s3": "^3.621.0", "@aws-sdk/client-ssm": "^3.621.0", "@aws-sdk/cloudfront-signer": "^3.127.0", + "@langchain/core": "^1.0.1", + "@langchain/langgraph": "^1.0.1", + "@langchain/mongodb": "^1.0.0", + "@langchain/openai": "^1.0.0", "@node-oauth/oauth2-server": "^4.2.0", + "@qdrant/js-client-rest": "^1.15.1", "@types/adm-zip": "^0.5.3", "adm-zip": "^0.5.10", "async": "^3.2.0", @@ -33,12 +38,13 @@ "date-fns": "^2.30.0", "date-fns-tz": "^2.0.0", "debug": "^4.3.2", - "dotenv": "^10.0.0", + "dotenv": "^16.6.1", "entities": "^6.0.0", "exceljs": "^4.3.0", "express": "^4.21.2", "express-rate-limit": "^8.1.0", "express-validator": "^6.12.0", + "extended-eventsource": "^2.1.0", "form-data": "^4.0.4", "fs-extra": "^10.0.0", "fuse.js": "^7.0.0", @@ -46,9 +52,12 @@ "helmet": "^4.1.1", "isomorphic-dompurify": "^1.9.0", "jose": "^4.15.5", + "langchain": "^0.1.37", "mailgun.js": "^10.2.1", "marked": "^4.0.10", + "meilisearch": "^0.54.0", "mime": "^4.1.0", + "mongodb": "^6.20.0", "mongoose": "^8.15.0", "multer": "^2.0.2", "node-cache": "^5.1.2", diff --git a/server/types/Store.ts b/server/types/Store.ts index 1bc674afe..e0effb0dc 100644 --- a/server/types/Store.ts +++ b/server/types/Store.ts @@ -34,6 +34,12 @@ export type StoreShippingOption = { total_days_max: number; lulu_shipping_level: string; cost_excl_tax: number; + production_start_date_estimate: string; + production_end_date_estimate: string; + ship_date_start_estimate: string; + ship_date_end_estimate: string; + delivery_date_start_estimate: string; + delivery_date_end_estimate: string; } /**
Submit a request to get help from our team.
+ Submit a request to get help from our team. +
+ Please do not submit a support ticket for account creation. You can visit {' '} + + https://register.libretexts.org + + {' '} to create an account and complete instructor verification (if applicable). +
{text}
👋 Hi! I'm Benny, your AI assistant.
I can search the LibreTexts Knowledge Base and the web to help you!
__start__
__end__
A store order has been rejected for the following reason: ${reason}.
Please review it in the Control Panel for more details and resubmission.
Sincerely,
The LibreTexts team
Order ID: ${orderID}
A store order has failed with the following error: ${stringifiedError.substring(0, 100)}.
An error of this nature typically indicates an issue outside of the book itself and may require assistance from Engineering to resolve.
Please review it in the Control Panel for more details.