Files
veridian/server/utils/generation.ts
T
2026-01-11 05:04:29 -06:00

230 lines
7.6 KiB
TypeScript

import { useDrizzle } from '~~/server/utils/drizzle';
import { generations, messages as messages_drizzle } from '~~/db/schema';
import { type GenerationStreamEvent, type ChatMessage, type MessageType } from '~~/server/types/chat';
import { eq } from 'drizzle-orm';
interface ActiveGeneration {
userId: string;
topicId: string;
messages: ChatMessage[];
content: string;
clients: Set<ReadableStreamDefaultController<Uint8Array>>;
complete: boolean;
}
interface PendingGeneration {
generationId: string;
userId: string;
topicId: string;
messages: ChatMessage[];
timeout: NodeJS.Timeout;
expired: boolean;
}
const activeGenerations = new Map<string, ActiveGeneration>();
const pendingGenerations = new Map<string, PendingGeneration>();
export const getActiveGeneration = (generationId: string): ActiveGeneration | undefined => {
return activeGenerations.get(generationId);
};
export const getPendingGeneration = (generationId: string): PendingGeneration | undefined => {
return pendingGenerations.get(generationId);
};
export const isGenerationActive = (generationId: string): boolean => {
return activeGenerations.has(generationId);
};
export const isGenerationPending = (generationId: string): boolean => {
return pendingGenerations.has(generationId);
};
export const addClientToGeneration = (generationId: string, controller: ReadableStreamDefaultController<Uint8Array>): boolean => {
const generation = activeGenerations.get(generationId);
if (!generation) {
return false;
}
generation.clients.add(controller);
return true;
};
export const removeClientFromGeneration = (generationId: string, controller: ReadableStreamDefaultController<Uint8Array>): void => {
const generation = activeGenerations.get(generationId);
if (generation) {
generation.clients.delete(controller);
if (generation.clients.size === 0 && generation.complete) {
activeGenerations.delete(generationId);
}
}
};
const sendToClients = (generation: ActiveGeneration, event: GenerationStreamEvent): void => {
for (const client of generation.clients) {
sendToClient(client, event);
}
};
export const sendToClient = (client: ReadableStreamDefaultController<Uint8Array>, event: GenerationStreamEvent): void => {
const data = JSON.stringify(event);
const encoder = new TextEncoder();
try {
client.enqueue(encoder.encode(`${data}\n`));
} catch (error) {
console.error('Failed to send to client:', error);
}
}
const buildPrompt = (messages: ChatMessage[]): string => {
return messages
.map((msg: ChatMessage) => {
const roleMap: Record<MessageType, string> = {
system: 'System',
user: 'User',
agent: 'Assistant'
};
return `${roleMap[msg.type]}: ${msg.message}`;
})
.join('\n\n');
};
const db = useDrizzle();
export const startGeneration = async (generationId: string, controller: ReadableStreamDefaultController<Uint8Array>): Promise<void> => {
const pending = pendingGenerations.get(generationId);
if (!pending) {
console.error(`Generation ${generationId} not found in pending generations`);
return;
}
clearTimeout(pending.timeout);
pendingGenerations.delete(generationId);
const { userId, topicId, messages } = pending;
const prompt = buildPrompt(messages);
const generation: ActiveGeneration = {
userId,
topicId,
messages,
content: '',
clients: new Set([controller]),
complete: false
};
await db.insert(generations).values({
id: generationId,
userId,
topicId,
messageId: null
});
activeGenerations.set(generationId, generation);
try {
const dummyResponse = generateDummyResponse(prompt, messages);
const tokens = dummyResponse.split(' ');
for (const token of tokens) {
await new Promise(resolve => setTimeout(resolve, 50));
generation.content += token + ' ';
sendToClients(generation, {
type: 'token',
data: token + ' '
});
}
const [message] = await db.insert(messages_drizzle).values({
topicId: generation.topicId,
userId: generation.userId,
isUser: false,
content: generation.content.trim(),
model: 'dummy-model-v1',
tokensGenerated: tokens.length,
tokensUsedThinking: 0
}).returning();
generation.complete = true;
sendToClients(generation, {
type: 'complete',
data: message
});
if (generation.clients.size === 0) {
activeGenerations.delete(generationId);
} else {
generation.clients.forEach((client) => {
try {
client.close();
} catch {
}
});
activeGenerations.delete(generationId);
}
await db.update(generations).set({
messageId: message.id
}).where(eq(generations.id, generationId));
} catch (error) {
console.error('Generation failed:', error);
sendToClients(generation, {
type: 'error',
data: error instanceof Error ? error.message : 'Unknown error'
});
await db.delete(generations).where(eq(generations.id, generationId));
activeGenerations.delete(generationId);
}
};
export const registerPendingGeneration = (userId: string, generationId: string, topicId: string, messages: ChatMessage[]): void => {
const timeout = setTimeout(() => {
const gen = pendingGenerations.get(generationId)
if (gen) gen.expired = true;
console.log(`Generation ${generationId} expired - no client connected within 60 seconds`);
}, 60000);
pendingGenerations.set(generationId, {
generationId,
userId,
topicId,
messages,
timeout,
expired: false
});
console.log(`Registered pending generation ${generationId}, waiting for client connection...`);
};
const generateDummyResponse = (prompt: string, messages: ChatMessage[]): string => {
const responses = [
"This is a simulated response to your prompt. In a real implementation, this would be generated by an AI model like GPT-4 or Claude."
+ " I'm processing your message about: " + prompt.substring(0, 50) + "... "
+ "This dummy generation demonstrates the streaming and background save functionality.",
"I understand your query. This is a placeholder response that simulates AI-generated content."
+ " The system will continue generating this response even if you close the tab, and it will"
+ " automatically save to the database when complete.",
"Here's a simulated AI response. This demonstrates two key features:"
+ " 1) The generation continues in the background even if you disconnect,"
+ " 2) The complete response is automatically saved to the database without requiring"
+ " a separate update request from the client."
];
const lastUserMessage = messages[messages.length - 1]?.message.toLowerCase() || '';
if (lastUserMessage.includes('hello') || lastUserMessage.includes('hi')) {
return "Hello! I'm a dummy AI assistant. This is a simulated response to your greeting."
+ " In production, this would be replaced with actual AI-generated content from an LLM provider.";
}
return responses[Math.floor(Math.random() * responses.length)];
};