Files
OllaHub/components/chat/ChatContainer.tsx
T
Evandro Fonseca Junior ce010d39ee feat: add MCP marketplace and custom scrollbar styles
Add comprehensive CSS styles for the MCP Marketplace interface, including card hover effects, responsive grid layout, modal backdrop blur, category badges, rating stars, install buttons, and loading animations. Also include custom scrollbar styling for the model selector to enhance user experience and visual consistency.
2025-10-28 19:40:45 -03:00

455 lines
14 KiB
TypeScript

"use client";
import { useState, useEffect, useRef } from "react";
import { ModelDropdown } from "@/components/model/ModelDropdown";
import { ModelPullDialog } from "@/components/model/ModelPullDialog";
import { ChatMessage } from "@/components/chat/ChatMessage";
import { SettingsModal } from "@/components/chat/SettingsModal";
import { Send, Square } from "lucide-react";
import type { ModelInfo } from "@/lib/models";
import type { Message } from "@/lib/chat";
import { createMessage } from "@/lib/chat";
import { useUserPrefs, buildOllamaOptions } from "@/hooks/useUserPrefs";
interface ChatContainerProps {
models: ModelInfo[];
offline: boolean;
onConversationCreated?: () => void;
currentConversationId?: string | null;
}
export function ChatContainer({
models,
offline,
onConversationCreated,
currentConversationId: propCurrentConversationId,
}: ChatContainerProps) {
const { prefs, ready, update } = useUserPrefs();
const [messages, setMessages] = useState<Message[]>([]);
const [selectedModel, setSelectedModel] = useState<string | null>(null);
const [conversationId, setConversationId] = useState<string | null>(null);
const [isStreaming, setIsStreaming] = useState(false);
const [streamingContent, setStreamingContent] = useState("");
const [inputContent, setInputContent] = useState("");
const abortRef = useRef<AbortController | null>(null);
const [showPullDialog, setShowPullDialog] = useState(false);
const [modelToPull, setModelToPull] = useState<string>("");
const [systemPrompt, setSystemPrompt] = useState<string>("");
const messagesEndRef = useRef<HTMLDivElement>(null);
// Carregar modelo salvo ao iniciar
useEffect(() => {
if (ready && prefs.selectedModel && !selectedModel) {
setSelectedModel(prefs.selectedModel);
}
}, [ready, prefs.selectedModel]);
// Carregar mensagens quando uma conversa é selecionada
useEffect(() => {
if (propCurrentConversationId) {
loadConversation(propCurrentConversationId);
} else {
// Limpar mensagens quando nenhuma conversa está selecionada
setMessages([]);
setConversationId(null);
}
}, [propCurrentConversationId]);
// Salvar modelo quando selecionado
const handleModelChange = (modelName: string) => {
setSelectedModel(modelName);
update({ selectedModel: modelName }); // Salvar no Redis
};
const scrollToBottom = () => {
messagesEndRef.current?.scrollIntoView({ behavior: "smooth" });
};
useEffect(() => {
scrollToBottom();
}, [messages, streamingContent]);
const loadConversation = async (id: string) => {
try {
const response = await fetch(`/api/conversations/${id}`);
const data = await response.json();
if (data.conversation && data.messages) {
setConversationId(id);
setMessages(data.messages);
setSelectedModel(data.conversation.model);
}
} catch (error) {
console.error("Erro ao carregar conversa:", error);
}
};
const startNewConversation = () => {
setConversationId(null);
setMessages([]);
};
const handleSendMessage = async (content: string) => {
if (!selectedModel || isStreaming) return;
// Criar nova conversa se não existir (COM TÍTULO)
let currentConversationId = conversationId;
if (!currentConversationId) {
try {
const response = await fetch("/api/conversations", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
model: selectedModel,
firstMessage: content, // Passar primeira mensagem
}),
});
const { id, title } = await response.json();
currentConversationId = id;
setConversationId(id);
console.log("✨ Chat criado:", title);
// Notificar sidebar para atualizar lista de conversas
if (onConversationCreated) {
onConversationCreated();
}
} catch (error) {
console.error("Erro ao criar conversa:", error);
}
}
const userMessage = createMessage("user", content);
const newMessages = [...messages, userMessage];
// Add system prompt if it exists and this is the first user message
const messagesToSend =
systemPrompt && messages.length === 0
? [createMessage("system", systemPrompt), ...newMessages]
: newMessages;
setMessages(newMessages);
setIsStreaming(true);
setStreamingContent("");
// Persistir mensagem do usuário
if (currentConversationId) {
try {
await fetch(`/api/conversations/${currentConversationId}/messages`, {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ role: "user", content }),
});
} catch (error) {
console.error("Erro ao persistir mensagem:", error);
}
}
try {
const options = buildOllamaOptions(
prefs.device,
prefs.numGpu,
prefs.gpuIndex
);
abortRef.current = new AbortController();
const response = await fetch("/api/ollama/chat", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
model: selectedModel,
messages: messagesToSend,
options,
system: systemPrompt || undefined,
}),
signal: abortRef.current.signal,
});
if (!response.ok) {
throw new Error("Failed to send message");
}
const reader = response.body?.getReader();
if (!reader) throw new Error("No response body");
const decoder = new TextDecoder();
let buffer = "";
let assistantContent = "";
while (true) {
const { done, value } = await reader.read();
if (done) break;
buffer += decoder.decode(value, { stream: true });
const lines = buffer.split("\n");
buffer = lines.pop() || "";
for (const line of lines) {
if (!line.trim()) continue;
try {
const data = JSON.parse(line);
if (data.token) {
assistantContent += data.token;
setStreamingContent(assistantContent);
}
if (data.done) {
const assistantMessage = createMessage(
"assistant",
assistantContent
);
setMessages((prev) => [...prev, assistantMessage]);
setStreamingContent("");
// Persistir mensagem do assistente
if (currentConversationId) {
try {
await fetch(
`/api/conversations/${currentConversationId}/messages`,
{
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
role: "assistant",
content: assistantContent,
}),
}
);
} catch (error) {
console.error(
"Erro ao persistir mensagem do assistente:",
error
);
}
}
}
if (data.error) {
throw new Error(data.error);
}
} catch (e) {
console.error("Error parsing stream:", e);
}
}
}
} catch (error) {
console.error("Chat error:", error);
const errorMessage = createMessage(
"assistant",
"Sorry, I encountered an error. Please try again."
);
setMessages((prev) => [...prev, errorMessage]);
} finally {
setIsStreaming(false);
setStreamingContent("");
abortRef.current = null;
}
};
const handleSubmit = (e: React.FormEvent) => {
e.preventDefault();
if (inputContent.trim() && !isStreaming) {
handleSendMessage(inputContent.trim());
setInputContent("");
}
};
const handleKeyDown = (e: React.KeyboardEvent) => {
if (e.key === "Enter" && !e.shiftKey) {
e.preventDefault();
handleSubmit(e);
}
};
const handleStop = () => {
if (abortRef.current && isStreaming) {
abortRef.current.abort();
}
};
const handleSystemPromptChange = (prompt: string) => {
setSystemPrompt(prompt);
update({ systemPrompt: prompt }); // Salvar no SQLite
};
const handleSelectModel = (modelId: string) => {
const model = models.find((m) => m.id === modelId);
if (model) {
handleModelChange(modelId);
// Optional: clear chat when switching models
// setMessages([]);
}
};
const handleDeleteModel = async (modelId: string) => {
try {
const response = await fetch("/api/ollama/delete", {
method: "DELETE",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ modelName: modelId }),
});
if (!response.ok) {
throw new Error("Failed to delete model");
}
// Atualizar lista de modelos após exclusão
// Aqui você pode recarregar a lista ou remover o modelo da lista local
console.log(`Model ${modelId} deleted successfully`);
} catch (error) {
console.error("Error deleting model:", error);
}
};
const handlePullModel = async (modelName: string) => {
try {
const response = await fetch("/api/ollama/pull", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ model: modelName }),
});
if (!response.ok) {
throw new Error("Failed to pull model");
}
const reader = response.body?.getReader();
if (!reader) throw new Error("No response body");
const decoder = new TextDecoder();
let buffer = "";
while (true) {
const { done, value } = await reader.read();
if (done) break;
buffer += decoder.decode(value, { stream: true });
const lines = buffer.split("\n");
buffer = lines.pop() || "";
for (const line of lines) {
if (!line.trim()) continue;
try {
const data = JSON.parse(line);
if (data.status === "success") {
// Model pulled successfully, refresh models list
window.location.reload();
}
} catch (e) {
console.error("Error parsing pull stream:", e);
}
}
}
} catch (error) {
throw error;
}
};
const selectedModelData = models.find((m) => m.id === selectedModel);
return (
<div className="flex-1 flex flex-col bg-[var(--background)] min-h-0">
{/* Chat Header */}
<div className="border-b border-[var(--border)] p-4 flex items-center justify-between gap-3 flex-shrink-0">
<div className="flex items-center gap-3">
<h1 className="text-lg font-semibold">
{selectedModelData
? "Chat with"
: "Select a model to start chatting"}
</h1>
{selectedModelData && (
<ModelDropdown
models={models}
selectedModel={selectedModel}
onSelectModel={handleSelectModel}
onDeleteModel={handleDeleteModel}
onPullModel={handlePullModel}
disabled={isStreaming}
/>
)}
</div>
<div className="flex items-center gap-2">
<SettingsModal
systemPrompt={systemPrompt}
onSystemPromptChange={handleSystemPromptChange}
selectedModel={selectedModel}
models={models}
/>
<button
onClick={handleStop}
disabled={!isStreaming}
className="rounded-md border border-[var(--border)] px-3 py-1 text-sm hover:bg-[var(--surface)] disabled:opacity-50"
>
Stop
</button>
</div>
</div>
{/* Messages */}
<div className="flex-1 overflow-y-auto min-h-0">
{messages.length === 0 ? (
<div className="flex h-full items-center justify-center">
<div className="text-center text-[var(--foreground)]/60">
<p className="text-lg mb-2">Welcome to Ollahub</p>
<p className="text-sm">Select a model and start chatting!</p>
</div>
</div>
) : (
<>
{messages.map((message) => (
<ChatMessage key={message.id} message={message} />
))}
{isStreaming && streamingContent && (
<ChatMessage
message={createMessage("assistant", streamingContent)}
isStreaming={true}
/>
)}
<div ref={messagesEndRef} />
</>
)}
</div>
{/* Input */}
<div className="flex-shrink-0 border-t border-[var(--border)] bg-[var(--background)]">
<form onSubmit={handleSubmit} className="p-4">
<div className="flex gap-2">
<textarea
value={inputContent}
onChange={(e) => setInputContent(e.target.value)}
onKeyDown={handleKeyDown}
placeholder={
selectedModel ? "Type a message..." : "Select a model first..."
}
disabled={!selectedModel || isStreaming}
className="flex-1 resize-none rounded-lg border border-[var(--border)] bg-[var(--background)] px-3 py-2 text-sm focus:outline-none focus:ring-2 focus:ring-[var(--accent)] disabled:opacity-50"
rows={1}
maxLength={2000}
/>
<button
type={isStreaming ? "button" : "submit"}
onClick={isStreaming ? handleStop : undefined}
disabled={
isStreaming ? false : !inputContent.trim() || !selectedModel
}
className="flex h-10 w-10 items-center justify-center rounded-lg bg-[var(--accent)] text-white transition-colors hover:bg-[color-mix(in_oklab,var(--accent),black_10%)] disabled:opacity-50"
>
{isStreaming ? (
<Square className="h-4 w-4" />
) : (
<Send className="h-4 w-4" />
)}
</button>
</div>
</form>
</div>
{/* Pull Dialog */}
<ModelPullDialog
isOpen={showPullDialog}
onClose={() => setShowPullDialog(false)}
modelName={modelToPull}
onConfirmPull={handlePullModel}
/>
</div>
);
}