Ned Halksworth
023ec1096f
- Added a new `barcode_products` collection to the Appwrite setup for managing barcode data. - Implemented barcode scanning feature with a dedicated modal for scanning and adding products. - Introduced new components for barcode product preview and management. - Updated the setup script to seed verified barcode products from a JSON file. - Enhanced the application state management to handle barcode-related actions and user interactions.
418 lines
14 KiB
TypeScript
418 lines
14 KiB
TypeScript
import { useCallback, useEffect, useMemo, useRef, useState } from "react";
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import type { Models } from "appwrite";
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import {
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chatStorageErrorMessage,
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createCoachChat,
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deleteCoachChat,
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listCoachChats,
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updateCoachChat,
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} from "./coachChats";
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import { buildFlavourHistorySummary, getBstHour } from "./greeting";
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import {
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caffeineFor,
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currency,
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humanDateTime,
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makeId,
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oneDecimal,
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spendFor,
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sugarFor,
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wholeNumber,
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} from "./metrics";
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import type { CoachChat, CoachMessage, LimitCheckResult, RedBullEntry, UserLimits } from "../types";
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import { limitsSummaryForCoach } from "./userLimits";
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type AuthUser = Models.User<Models.Preferences>;
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type Dashboard = {
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todayCans: string;
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todayCaffeine: string;
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todaySugar: string;
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favouriteFlavour: string;
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currentStreak: string;
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totalSpend: string;
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};
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const OLLAMA_MODEL = "deepseek-v4-pro:cloud";
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const OLLAMA_PROXY_URL = import.meta.env.VITE_OLLAMA_PROXY_URL?.trim() || "/api/ollama-chat";
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type OllamaStreamChunk = { error?: string; message?: { content?: string; thinking?: string } };
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export type CoachSession = ReturnType<typeof useCoachSession>;
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export function useCoachSession(
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user: AuthUser,
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dashboard: Dashboard,
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entries: RedBullEntry[],
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userLimits: UserLimits = {},
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limitCheck?: LimitCheckResult,
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) {
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const [chats, setChats] = useState<CoachChat[]>([]);
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const [activeChatId, setActiveChatId] = useState<string | null>(null);
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const [savedChatIds, setSavedChatIds] = useState<Set<string>>(() => new Set());
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const [storageStatus, setStorageStatus] = useState("loading");
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const [storageReady, setStorageReady] = useState(false);
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const [input, setInput] = useState("");
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const [busy, setBusy] = useState(false);
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const [error, setError] = useState("");
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const abortRef = useRef<AbortController | null>(null);
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const queuedPromptRef = useRef<string | null>(null);
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const activeChat = useMemo(() => chats.find((chat) => chat.id === activeChatId) ?? null, [chats, activeChatId]);
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const messages = useMemo(() => activeChat?.messages ?? [], [activeChat]);
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const visibleMessages = useMemo(() => messages.filter((message) => message.id !== "coach-welcome"), [messages]);
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useEffect(() => {
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let cancelled = false;
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async function loadChats() {
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if (!user.$id) return;
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setStorageStatus("loading");
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setError("");
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try {
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const savedChats = await listCoachChats(user.$id);
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if (cancelled) return;
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const initialChats = savedChats.length ? savedChats : [buildNewCoachChat(user, dashboard)];
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setChats(initialChats);
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setSavedChatIds(new Set(savedChats.map((chat) => chat.id)));
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setActiveChatId(initialChats[0].id);
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setStorageStatus(savedChats.length ? `${savedChats.length} synced` : "ready");
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setStorageReady(true);
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} catch (caught) {
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if (cancelled) return;
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setError(chatStorageErrorMessage(caught));
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const fallback = buildNewCoachChat(user, dashboard);
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setChats([fallback]);
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setActiveChatId(fallback.id);
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setStorageStatus("local only");
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setStorageReady(true);
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}
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}
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void loadChats();
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return () => {
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cancelled = true;
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};
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// eslint-disable-next-line react-hooks/exhaustive-deps
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}, [user.$id]);
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const upsertChatState = useCallback((chat: CoachChat) => {
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setChats((current) => {
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const exists = current.some((item) => item.id === chat.id);
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return exists ? current.map((item) => (item.id === chat.id ? chat : item)) : [chat, ...current];
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});
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}, []);
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const patchAssistantMessage = useCallback((chatId: string, messageId: string, patch: Partial<CoachMessage>) => {
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setChats((current) =>
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current.map((chat) =>
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chat.id === chatId
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? {
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...chat,
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updatedAt: new Date().toISOString(),
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messages: chat.messages.map((message) => (message.id === messageId ? { ...message, ...patch } : message)),
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}
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: chat,
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),
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);
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}, []);
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const withAssistantMessage = useCallback((chat: CoachChat, messageId: string, patch: Partial<CoachMessage>): CoachChat => {
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return {
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...chat,
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updatedAt: new Date().toISOString(),
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messages: chat.messages.map((message) => (message.id === messageId ? { ...message, ...patch } : message)),
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};
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}, []);
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const persistChat = useCallback(
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async (chat: CoachChat) => {
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try {
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const saved = savedChatIds.has(chat.id)
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? await updateCoachChat(user.$id, chat)
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: await createCoachChat(user.$id, chat);
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setSavedChatIds((current) => new Set(current).add(saved.id));
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upsertChatState(saved);
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setStorageStatus("synced");
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return true;
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} catch (caught) {
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setStorageStatus("save pending");
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setError(chatStorageErrorMessage(caught));
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return false;
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}
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},
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[savedChatIds, upsertChatState, user.$id],
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);
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const sendPrompt = useCallback(
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async (prompt: string, chatOverride?: CoachChat | null) => {
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const trimmed = prompt.trim();
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if (!trimmed || busy || !storageReady || !user.$id) return false;
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const currentChat = chatOverride ?? activeChat ?? buildNewCoachChat(user, dashboard);
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const userMessage: CoachMessage = { id: makeId(), role: "user", content: trimmed };
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const assistantId = makeId();
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const assistantMessage: CoachMessage = { id: assistantId, role: "assistant", content: "", thinking: "", pending: true };
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const conversation = [...currentChat.messages, userMessage];
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const draftChat: CoachChat = {
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...currentChat,
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title: titleForChat(currentChat.title, trimmed),
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messages: [...conversation, assistantMessage],
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updatedAt: new Date().toISOString(),
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};
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upsertChatState(draftChat);
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setActiveChatId(draftChat.id);
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setInput("");
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setBusy(true);
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setError("");
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let streamedContent = "";
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let streamedThinking = "";
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const abortController = new AbortController();
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abortRef.current = abortController;
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try {
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const requestMessages: Array<{ role: string; content: string; thinking?: string }> = [
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{ role: "system", content: buildCoachSystemPrompt(user, dashboard, entries, userLimits, limitCheck) },
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...conversation
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.filter((message) => message.content.trim().length > 0)
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.map((message) => ({
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role: message.role,
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content: message.content,
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...(message.thinking ? { thinking: message.thinking } : {}),
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})),
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];
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const response = await fetch(OLLAMA_PROXY_URL, {
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method: "POST",
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headers: { "Content-Type": "application/json" },
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body: JSON.stringify({
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model: OLLAMA_MODEL,
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messages: requestMessages,
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stream: true,
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think: true,
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}),
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signal: abortController.signal,
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});
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if (!response.ok) {
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const detail = await response.text();
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throw new Error(parseCoachError(detail, response.status));
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}
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if (!response.body) {
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throw new Error("streaming response was empty.");
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}
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await readOllamaStream(response.body, (chunk) => {
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if (chunk.error) throw new Error(chunk.error);
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if (chunk.message?.thinking) streamedThinking += chunk.message.thinking;
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if (chunk.message?.content) streamedContent += chunk.message.content.toLocaleLowerCase();
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patchAssistantMessage(draftChat.id, assistantId, {
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content: streamedContent,
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thinking: streamedThinking,
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pending: !streamedContent,
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});
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});
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const finalChat = withAssistantMessage(draftChat, assistantId, {
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content: streamedContent || "no answer returned.",
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thinking: streamedThinking,
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pending: false,
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});
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upsertChatState(finalChat);
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void persistChat(finalChat);
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return true;
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} catch (caught) {
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const aborted = abortController.signal.aborted;
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const message = caught instanceof Error ? caught.message : "coach request failed.";
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const finalChat = withAssistantMessage(draftChat, assistantId, {
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content: aborted ? streamedContent || "stopped thinking." : `coach unavailable: ${message}`.toLocaleLowerCase(),
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thinking: streamedThinking,
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pending: false,
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stopped: aborted,
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});
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upsertChatState(finalChat);
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void persistChat(finalChat);
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if (!aborted) setError(message);
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return false;
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} finally {
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abortRef.current = null;
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setBusy(false);
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}
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},
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[activeChat, busy, dashboard, entries, limitCheck, patchAssistantMessage, persistChat, storageReady, upsertChatState, user, userLimits, withAssistantMessage],
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);
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const queuePrompt = useCallback((prompt: string) => {
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queuedPromptRef.current = prompt;
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}, []);
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useEffect(() => {
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const prompt = queuedPromptRef.current;
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if (!storageReady || !prompt || busy) return;
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queuedPromptRef.current = null;
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void sendPrompt(prompt);
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}, [storageReady, busy, sendPrompt]);
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const startNewChat = useCallback(() => {
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const chat = buildNewCoachChat(user, dashboard);
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setChats((current) => [chat, ...current]);
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setActiveChatId(chat.id);
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setInput("");
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setError("");
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}, [dashboard, user]);
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const removeChat = useCallback(
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async (chatId: string) => {
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if (busy) return;
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try {
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if (savedChatIds.has(chatId)) await deleteCoachChat(chatId);
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setSavedChatIds((current) => {
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const next = new Set(current);
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next.delete(chatId);
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return next;
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});
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setChats((current) => {
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const next = current.filter((chat) => chat.id !== chatId);
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const fallback = buildNewCoachChat(user, dashboard);
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setActiveChatId(next[0]?.id ?? fallback.id);
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return next.length ? next : [fallback];
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});
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} catch (caught) {
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setError(chatStorageErrorMessage(caught));
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}
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},
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[busy, dashboard, savedChatIds, user],
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);
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const stopThinking = useCallback(() => {
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abortRef.current?.abort();
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}, []);
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return {
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activeChatId,
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busy,
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chats,
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error,
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input,
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queuePrompt,
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removeChat,
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sendPrompt,
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setActiveChatId,
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setError,
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setInput,
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startNewChat,
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stopThinking,
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storageReady,
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storageStatus,
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visibleMessages,
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};
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}
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function firstName(user: AuthUser) {
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const fallback = user.email?.split("@")[0] ?? "there";
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const value = (user.name || fallback).trim();
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return value.split(/\s+/)[0] || "there";
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}
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function buildNewCoachChat(user: AuthUser, dashboard: Dashboard): CoachChat {
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const now = new Date().toISOString();
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const favourite = dashboard.favouriteFlavour === "None yet" ? "your patterns" : dashboard.favouriteFlavour;
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return {
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id: makeId(),
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userId: user.$id,
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title: "today",
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createdAt: now,
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updatedAt: now,
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messages: [
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{
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id: "coach-welcome",
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role: "assistant",
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content: `hey ${firstName(user).toLocaleLowerCase()}, ${dashboard.todayCans} cans logged today. ask about ${favourite}, caffeine pace, or spend.`,
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},
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],
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};
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}
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function titleForChat(currentTitle: string, prompt: string) {
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if (currentTitle !== "today" && currentTitle !== "new chat") return currentTitle;
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const cleaned = prompt.trim().replace(/\s+/g, " ").toLocaleLowerCase();
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return cleaned.length > 48 ? `${cleaned.slice(0, 45)}...` : cleaned || "today";
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}
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function buildCoachSystemPrompt(
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user: AuthUser,
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dashboard: Dashboard,
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entries: RedBullEntry[],
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userLimits: UserLimits,
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limitCheck?: LimitCheckResult,
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) {
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const recent = entries
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.slice(0, 12)
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.map(
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(entry) =>
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`- ${humanDateTime(entry.dateTime)}: ${entry.cans} can(s), ${entry.flavour}, ${entry.sizeMl}ml, ${currency.format(spendFor(entry))}, ${wholeNumber.format(caffeineFor(entry))}mg caffeine, ${oneDecimal.format(sugarFor(entry))}g sugar`,
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)
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.join("\n");
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return [
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"You are an upbeat Red Bull intake coach inside a tracking app.",
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"Respond entirely in lower case.",
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"Give concise, practical suggestions based only on the logged data provided.",
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"When asked about favourite flavour historically, use the flavour history breakdown below.",
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"Do not give medical advice.",
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`User: ${user.name || user.email || "Appwrite user"}`,
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`Current time (BST): ${getBstHour()}:00.`,
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`Today: ${dashboard.todayCans} cans, ${dashboard.todayCaffeine} caffeine, ${dashboard.todaySugar} sugar.`,
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`Personal limits: ${limitsSummaryForCoach(userLimits, limitCheck ?? { violations: [], projectedCans: 0, projectedSpend: 0, todayCans: 0, todaySpend: 0, pastStopTime: false })}`,
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`All-time favourite: ${dashboard.favouriteFlavour}. Streak: ${dashboard.currentStreak} day(s). Spend: ${dashboard.totalSpend}.`,
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`Flavour history:\n${buildFlavourHistorySummary(entries)}`,
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`Recent entries:\n${recent || "No entries logged yet."}`,
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].join("\n");
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}
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function parseCoachError(detail: string, status: number) {
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const trimmed = detail.trim();
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if (trimmed.startsWith("<") || /nginx|405 not allowed/i.test(trimmed)) {
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return `coach api unavailable (${status}). run npm run dev with OLLAMA_API_KEY set, or proxy POST /api/ollama-chat on your host.`;
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}
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return trimmed || `request failed (${status}).`;
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}
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async function readOllamaStream(body: ReadableStream<Uint8Array>, onChunk: (chunk: OllamaStreamChunk) => void) {
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const reader = body.getReader();
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const decoder = new TextDecoder();
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let buffer = "";
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while (true) {
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const { done, value } = await reader.read();
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if (done) break;
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buffer += decoder.decode(value, { stream: true });
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const lines = buffer.split("\n");
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buffer = lines.pop() ?? "";
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for (const line of lines) {
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const chunk = parseOllamaLine(line);
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if (chunk) onChunk(chunk);
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}
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}
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buffer += decoder.decode();
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if (buffer.trim()) {
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const chunk = parseOllamaLine(buffer);
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if (chunk) onChunk(chunk);
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}
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}
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function parseOllamaLine(line: string): OllamaStreamChunk | null {
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const trimmed = line.trim().replace(/^data:\s*/, "");
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if (!trimmed || trimmed === "[DONE]") return null;
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try {
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return JSON.parse(trimmed) as OllamaStreamChunk;
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} catch {
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return null;
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}
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}
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export { OLLAMA_MODEL };
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