+page.svelte

<script lang="ts">
	import { v4 as uuidv4 } from 'uuid';
	import toast from 'svelte-french-toast';

	import { onMount, tick } from 'svelte';
	import { goto } from '$app/navigation';
	import { page } from '$app/stores';

	import { models, modelfiles, user, settings, chats, chatId } from '$lib/stores';

	import { generateChatCompletion, generateTitle } from '$lib/apis/ollama';
	import { generateOpenAIChatCompletion } from '$lib/apis/openai';

	import { copyToClipboard, splitStream } from '$lib/utils';

	import MessageInput from '$lib/components/chat/MessageInput.svelte';
	import Messages from '$lib/components/chat/Messages.svelte';
	import ModelSelector from '$lib/components/chat/ModelSelector.svelte';
	import Navbar from '$lib/components/layout/Navbar.svelte';
	import { createNewChat, getChatById, getChatList, updateChatById } from '$lib/apis/chats';

	let loaded = false;
	let stopResponseFlag = false;
	let autoScroll = true;

	// let chatId = $page.params.id;
	let selectedModels = [''];
	let selectedModelfile = null;
	$: selectedModelfile =
		selectedModels.length === 1 &&
		$modelfiles.filter((modelfile) => modelfile.tagName === selectedModels[0]).length > 0
			? $modelfiles.filter((modelfile) => modelfile.tagName === selectedModels[0])[0]
			: null;

	let selectedModelfiles = {};
	$: selectedModelfiles = selectedModels.reduce((a, tagName, i, arr) => {
		const modelfile =
			$modelfiles.filter((modelfile) => modelfile.tagName === tagName)?.at(0) ?? undefined;

		return {
			...a,
			...(modelfile && { [tagName]: modelfile })
		};
	}, {});

	let chat = null;

	let title = '';
	let prompt = '';
	let files = [];

	let messages = [];
	let history = {
		messages: {},
		currentId: null
	};

	$: if (history.currentId !== null) {
		let _messages = [];

		let currentMessage = history.messages[history.currentId];
		while (currentMessage !== null) {
			_messages.unshift({ ...currentMessage });
			currentMessage =
				currentMessage.parentId !== null ? history.messages[currentMessage.parentId] : null;
		}
		messages = _messages;
	} else {
		messages = [];
	}

	$: if ($page.params.id) {
		(async () => {
			if (await loadChat()) {
				await tick();
				loaded = true;
			} else {
				await goto('/');
			}
		})();
	}

	//////////////////////////
	// Web functions
	//////////////////////////

	const loadChat = async () => {
		await chatId.set($page.params.id);
		chat = await getChatById(localStorage.token, $chatId).catch(async (error) => {
			await goto('/');
			return null;
		});

		if (chat) {
			const chatContent = chat.chat;

			if (chatContent) {
				console.log(chatContent);

				selectedModels =
					(chatContent?.models ?? undefined) !== undefined
						? chatContent.models
						: [chatContent.model ?? ''];
				history =
					(chatContent?.history ?? undefined) !== undefined
						? chatContent.history
						: convertMessagesToHistory(chatContent.messages);
				title = chatContent.title;

				let _settings = JSON.parse(localStorage.getItem('settings') ?? '{}');
				await settings.set({
					..._settings,
					system: chatContent.system ?? _settings.system,
					options: chatContent.options ?? _settings.options
				});
				autoScroll = true;
				await tick();

				if (messages.length > 0) {
					history.messages[messages.at(-1).id].done = true;
				}
				await tick();

				return true;
			} else {
				return null;
			}
		}
	};

	//////////////////////////
	// Ollama functions
	//////////////////////////

	const submitPrompt = async (userPrompt) => {
		console.log('submitPrompt', $chatId);

		if (selectedModels.includes('')) {
			toast.error('Model not selected');
		} else if (messages.length != 0 && messages.at(-1).done != true) {
			// Response not done
			console.log('wait');
		} else {
			// Reset chat message textarea height
			document.getElementById('chat-textarea').style.height = '';

			// Create user message
			let userMessageId = uuidv4();
			let userMessage = {
				id: userMessageId,
				parentId: messages.length !== 0 ? messages.at(-1).id : null,
				childrenIds: [],
				role: 'user',
				content: userPrompt,
				files: files.length > 0 ? files : undefined
			};

			// Add message to history and Set currentId to messageId
			history.messages[userMessageId] = userMessage;
			history.currentId = userMessageId;

			// Append messageId to childrenIds of parent message
			if (messages.length !== 0) {
				history.messages[messages.at(-1).id].childrenIds.push(userMessageId);
			}

			// Wait until history/message have been updated
			await tick();

			// Create new chat if only one message in messages
			if (messages.length == 1) {
				if ($settings.saveChatHistory ?? true) {
					chat = await createNewChat(localStorage.token, {
						id: $chatId,
						title: 'New Chat',
						models: selectedModels,
						system: $settings.system ?? undefined,
						options: {
							...($settings.options ?? {})
						},
						messages: messages,
						history: history,
						timestamp: Date.now()
					});
					await chats.set(await getChatList(localStorage.token));
					await chatId.set(chat.id);
				} else {
					await chatId.set('local');
				}
				await tick();
			}

			// Reset chat input textarea
			prompt = '';
			files = [];

			// Send prompt
			await sendPrompt(userPrompt, userMessageId);
		}
	};

	const sendPrompt = async (prompt, parentId) => {
		const _chatId = JSON.parse(JSON.stringify($chatId));

		const docs = messages
			.filter((message) => message?.files ?? null)
			.map((message) => message.files.filter((item) => item.type === 'doc'))
			.flat(1);

		console.log(docs);
		if (docs.length > 0) {
			const query = history.messages[parentId].content;

			let relevantContexts = await Promise.all(
				docs.map(async (doc) => {
					return await queryVectorDB(localStorage.token, doc.collection_name, query, 4).catch(
						(error) => {
							console.log(error);
							return null;
						}
					);
				})
			);
			relevantContexts = relevantContexts.filter((context) => context);

			const contextString = relevantContexts.reduce((a, context, i, arr) => {
				return `${a}${context.documents.join(' ')}\n`;
			}, '');

			console.log(contextString);

			history.messages[parentId].raContent = RAGTemplate(contextString, query);
			history.messages[parentId].contexts = relevantContexts;
			await tick();
		}

		await Promise.all(
			selectedModels.map(async (model) => {
				console.log(model);
				const modelTag = $models.filter((m) => m.name === model).at(0);

				if (modelTag?.external) {
					await sendPromptOpenAI(model, prompt, parentId, _chatId);
				} else if (modelTag) {
					await sendPromptOllama(model, prompt, parentId, _chatId);
				} else {
					toast.error(`Model ${model} not found`);
				}
			})
		);

		await chats.set(await getChatList(localStorage.token));
	};

	const sendPromptOllama = async (model, userPrompt, parentId, _chatId) => {
		// Create response message
		let responseMessageId = uuidv4();
		let responseMessage = {
			parentId: parentId,
			id: responseMessageId,
			childrenIds: [],
			role: 'assistant',
			content: '',
			model: model
		};

		// Add message to history and Set currentId to messageId
		history.messages[responseMessageId] = responseMessage;
		history.currentId = responseMessageId;

		// Append messageId to childrenIds of parent message
		if (parentId !== null) {
			history.messages[parentId].childrenIds = [
				...history.messages[parentId].childrenIds,
				responseMessageId
			];
		}

		// Wait until history/message have been updated
		await tick();

		// Scroll down
		window.scrollTo({ top: document.body.scrollHeight });

		const res = await generateChatCompletion(localStorage.token, {
			model: model,
			messages: [
				$settings.system
					? {
							role: 'system',
							content: $settings.system
					  }
					: undefined,
				...messages
			]
				.filter((message) => message)
				.map((message) => ({
					role: message.role,
					content: message?.raContent ?? message.content,
					...(message.files && {
						images: message.files
							.filter((file) => file.type === 'image')
							.map((file) => file.url.slice(file.url.indexOf(',') + 1))
					})
				})),
			options: {
				...($settings.options ?? {})
			},
			format: $settings.requestFormat ?? undefined
		});

		if (res && res.ok) {
			const reader = res.body
				.pipeThrough(new TextDecoderStream())
				.pipeThrough(splitStream('\n'))
				.getReader();

			while (true) {
				const { value, done } = await reader.read();
				if (done || stopResponseFlag || _chatId !== $chatId) {
					responseMessage.done = true;
					messages = messages;
					break;
				}

				try {
					let lines = value.split('\n');

					for (const line of lines) {
						if (line !== '') {
							console.log(line);
							let data = JSON.parse(line);

							if ('detail' in data) {
								throw data;
							}

							if (data.done == false) {
								if (responseMessage.content == '' && data.message.content == '\n') {
									continue;
								} else {
									responseMessage.content += data.message.content;
									messages = messages;
								}
							} else {
								responseMessage.done = true;

								if (responseMessage.content == '') {
									responseMessage.error = true;
									responseMessage.content =
										'Oops! No text generated from Ollama, Please try again.';
								}

								responseMessage.context = data.context ?? null;
								responseMessage.info = {
									total_duration: data.total_duration,
									load_duration: data.load_duration,
									sample_count: data.sample_count,
									sample_duration: data.sample_duration,
									prompt_eval_count: data.prompt_eval_count,
									prompt_eval_duration: data.prompt_eval_duration,
									eval_count: data.eval_count,
									eval_duration: data.eval_duration
								};
								messages = messages;

								if ($settings.notificationEnabled && !document.hasFocus()) {
									const notification = new Notification(
										selectedModelfile
											? `${
													selectedModelfile.title.charAt(0).toUpperCase() +
													selectedModelfile.title.slice(1)
											  }`
											: `Ollama - ${model}`,
										{
											body: responseMessage.content,
											icon: selectedModelfile?.imageUrl ?? '/favicon.png'
										}
									);
								}

								if ($settings.responseAutoCopy) {
									copyToClipboard(responseMessage.content);
								}
							}
						}
					}
				} catch (error) {
					console.log(error);
					if ('detail' in error) {
						toast.error(error.detail);
					}
					break;
				}

				if (autoScroll) {
					window.scrollTo({ top: document.body.scrollHeight });
				}
			}

			if ($chatId == _chatId) {
				if ($settings.saveChatHistory ?? true) {
					chat = await updateChatById(localStorage.token, _chatId, {
						messages: messages,
						history: history
					});
					await chats.set(await getChatList(localStorage.token));
				}
			}
		} else {
			if (res !== null) {
				const error = await res.json();
				console.log(error);
				if ('detail' in error) {
					toast.error(error.detail);
					responseMessage.content = error.detail;
				} else {
					toast.error(error.error);
					responseMessage.content = error.error;
				}
			} else {
				toast.error(`Uh-oh! There was an issue connecting to Ollama.`);
				responseMessage.content = `Uh-oh! There was an issue connecting to Ollama.`;
			}

			responseMessage.error = true;
			responseMessage.content = `Uh-oh! There was an issue connecting to Ollama.`;
			responseMessage.done = true;
			messages = messages;
		}

		stopResponseFlag = false;
		await tick();

		if (autoScroll) {
			window.scrollTo({ top: document.body.scrollHeight });
		}

		if (messages.length == 2 && messages.at(1).content !== '') {
			window.history.replaceState(history.state, '', `/c/${_chatId}`);
			await generateChatTitle(_chatId, userPrompt);
		}
	};

	const sendPromptOpenAI = async (model, userPrompt, parentId, _chatId) => {
		let responseMessageId = uuidv4();

		let responseMessage = {
			parentId: parentId,
			id: responseMessageId,
			childrenIds: [],
			role: 'assistant',
			content: '',
			model: model
		};

		history.messages[responseMessageId] = responseMessage;
		history.currentId = responseMessageId;
		if (parentId !== null) {
			history.messages[parentId].childrenIds = [
				...history.messages[parentId].childrenIds,
				responseMessageId
			];
		}

		window.scrollTo({ top: document.body.scrollHeight });

		const res = await generateOpenAIChatCompletion(localStorage.token, {
			model: model,
			stream: true,
			messages: [
				$settings.system
					? {
							role: 'system',
							content: $settings.system
					  }
					: undefined,
				...messages
			]
				.filter((message) => message)
				.map((message) => ({
					role: message.role,
					...(message.files
						? {
								content: [
									{
										type: 'text',
										text: message?.raContent ?? message.content
									},
									...message.files
										.filter((file) => file.type === 'image')
										.map((file) => ({
											type: 'image_url',
											image_url: {
												url: file.url
											}
										}))
								]
						  }
						: { content: message?.raContent ?? message.content })
				})),
			seed: $settings?.options?.seed ?? undefined,
			stop: $settings?.options?.stop ?? undefined,
			temperature: $settings?.options?.temperature ?? undefined,
			top_p: $settings?.options?.top_p ?? undefined,
			num_ctx: $settings?.options?.num_ctx ?? undefined,
			frequency_penalty: $settings?.options?.repeat_penalty ?? undefined,
			max_tokens: $settings?.options?.num_predict ?? undefined
		});

		if (res && res.ok) {
			const reader = res.body
				.pipeThrough(new TextDecoderStream())
				.pipeThrough(splitStream('\n'))
				.getReader();

			while (true) {
				const { value, done } = await reader.read();
				if (done || stopResponseFlag || _chatId !== $chatId) {
					responseMessage.done = true;
					messages = messages;
					break;
				}

				try {
					let lines = value.split('\n');

					for (const line of lines) {
						if (line !== '') {
							console.log(line);
							if (line === 'data: [DONE]') {
								responseMessage.done = true;
								messages = messages;
							} else {
								let data = JSON.parse(line.replace(/^data: /, ''));
								console.log(data);

								if (responseMessage.content == '' && data.choices[0].delta.content == '\n') {
									continue;
								} else {
									responseMessage.content += data.choices[0].delta.content ?? '';
									messages = messages;
								}
							}
						}
					}
				} catch (error) {
					console.log(error);
				}

				if ($settings.notificationEnabled && !document.hasFocus()) {
					const notification = new Notification(`OpenAI ${model}`, {
						body: responseMessage.content,
						icon: '/favicon.png'
					});
				}

				if ($settings.responseAutoCopy) {
					copyToClipboard(responseMessage.content);
				}

				if (autoScroll) {
					window.scrollTo({ top: document.body.scrollHeight });
				}
			}

			if ($chatId == _chatId) {
				if ($settings.saveChatHistory ?? true) {
					chat = await updateChatById(localStorage.token, _chatId, {
						messages: messages,
						history: history
					});
					await chats.set(await getChatList(localStorage.token));
				}
			}
		} else {
			if (res !== null) {
				const error = await res.json();
				console.log(error);
				if ('detail' in error) {
					toast.error(error.detail);
					responseMessage.content = error.detail;
				} else {
					if ('message' in error.error) {
						toast.error(error.error.message);
						responseMessage.content = error.error.message;
					} else {
						toast.error(error.error);
						responseMessage.content = error.error;
					}
				}
			} else {
				toast.error(`Uh-oh! There was an issue connecting to ${model}.`);
				responseMessage.content = `Uh-oh! There was an issue connecting to ${model}.`;
			}

			responseMessage.error = true;
			responseMessage.content = `Uh-oh! There was an issue connecting to ${model}.`;
			responseMessage.done = true;
			messages = messages;
		}

		stopResponseFlag = false;
		await tick();

		if (autoScroll) {
			window.scrollTo({ top: document.body.scrollHeight });
		}

		if (messages.length == 2) {
			window.history.replaceState(history.state, '', `/c/${_chatId}`);
			await setChatTitle(_chatId, userPrompt);
		}
	};

	const stopResponse = () => {
		stopResponseFlag = true;
		console.log('stopResponse');
	};

	const regenerateResponse = async () => {
		console.log('regenerateResponse');
		if (messages.length != 0 && messages.at(-1).done == true) {
			messages.splice(messages.length - 1, 1);
			messages = messages;

			let userMessage = messages.at(-1);
			let userPrompt = userMessage.content;

			await sendPrompt(userPrompt, userMessage.id);
		}
	};

	const generateChatTitle = async (_chatId, userPrompt) => {
		if ($settings.titleAutoGenerate ?? true) {
			const title = await generateTitle(localStorage.token, selectedModels[0], userPrompt);

			if (title) {
				await setChatTitle(_chatId, title);
			}
		} else {
			await setChatTitle(_chatId, `${userPrompt}`);
		}
	};

	const setChatTitle = async (_chatId, _title) => {
		if (_chatId === $chatId) {
			title = _title;
		}

		chat = await updateChatById(localStorage.token, _chatId, { title: _title });
		await chats.set(await getChatList(localStorage.token));
	};

	onMount(async () => {
		if (!($settings.saveChatHistory ?? true)) {
			await goto('/');
		}
	});
</script>

<svelte:window
	on:scroll={(e) => {
		autoScroll = window.innerHeight + window.scrollY >= document.body.offsetHeight - 40;
	}}
/>

{#if loaded}
	<Navbar
		{title}
		shareEnabled={messages.length > 0}
		initNewChat={() => {
			goto('/');
		}}
	/>
	<div class="min-h-screen w-full flex justify-center">
		<div class=" py-2.5 flex flex-col justify-between w-full">
			<div class="max-w-2xl mx-auto w-full px-3 md:px-0 mt-10">
				<ModelSelector bind:selectedModels disabled={messages.length > 0} />
			</div>

			<div class=" h-full mt-10 mb-32 w-full flex flex-col">
				<Messages
					chatId={$chatId}
					{selectedModels}
					{selectedModelfiles}
					bind:history
					bind:messages
					bind:autoScroll
					bottomPadding={files.length > 0}
					{sendPrompt}
					{regenerateResponse}
				/>
			</div>
		</div>

		<MessageInput
			bind:files
			bind:prompt
			bind:autoScroll
			suggestionPrompts={selectedModelfile?.suggestionPrompts ?? [
				{
					title: ['Help me study', 'vocabulary for a college entrance exam'],
					content: `Help me study vocabulary: write a sentence for me to fill in the blank, and I'll try to pick the correct option.`
				},
				{
					title: ['Give me ideas', `for what to do with my kids' art`],
					content: `What are 5 creative things I could do with my kids' art? I don't want to throw them away, but it's also so much clutter.`
				},
				{
					title: ['Tell me a fun fact', 'about the Roman Empire'],
					content: 'Tell me a random fun fact about the Roman Empire'
				},
				{
					title: ['Show me a code snippet', `of a website's sticky header`],
					content: `Show me a code snippet of a website's sticky header in CSS and JavaScript.`
				}
			]}
			{messages}
			{submitPrompt}
			{stopResponse}
		/>
	</div>
{/if}