diff --git a/.github/workflows/deploy-changed-samples.yml b/.github/workflows/deploy-changed-samples.yml index e1ab0989..fcd47c6a 100644 --- a/.github/workflows/deploy-changed-samples.yml +++ b/.github/workflows/deploy-changed-samples.yml @@ -94,6 +94,7 @@ jobs: TEST_MONGO_INITDB_ROOT_USERNAME: ${{ secrets.TEST_MONGO_INITDB_ROOT_USERNAME }} TEST_MONGO_INITDB_ROOT_PASSWORD: ${{ secrets.TEST_MONGO_INITDB_ROOT_PASSWORD }} TEST_LLM_MODEL: ${{ secrets.TEST_LLM_MODEL }} + TEST_EMBEDDING_MODEL: ${{ secrets.TEST_EMBEDDING_MODEL }} TEST_N8N_ENCRYPTION_KEY: ${{ secrets.TEST_N8N_ENCRYPTION_KEY }} TEST_NC_DB: ${{ secrets.TEST_NC_DB }} TEST_NC_S3_ENDPOINT: ${{ secrets.TEST_NC_S3_ENDPOINT }} diff --git a/README.md b/README.md index 8a399242..ac0f4907 100644 --- a/README.md +++ b/README.md @@ -56,6 +56,7 @@ When you add a new sample, make sure to add any config vals to the `deploy-chang | [Managed LLM](./samples/managed-llm) | An app using Managed LLMs with Defang's OpenAI Access Gateway. | LLM, OpenAI, Python, Bedrock, Vertex | Python | | [Managed LLM with Docker Model Provider](./samples/managed-llm-provider) | An app using Managed LLMs with a Docker Model Provider, deployed with Defang. | LLM, Python, Bedrock, Vertex, Docker Model Provider | Python | | [Mastra & Next.js](./samples/mastra-nextjs) | An AI-powered tool for chatting with GitHub repositories using Mastra and Google Gemini. | AI, GitHub, Mastra, Next.js, PostgreSQL, TypeScript | TypeScript, JavaScript, Docker | +| [Mastra & Next.js & PostgreSQL & Redis](./samples/mastra-nextjs-postgres-redis) | A multi-service Mastra support and ops copilot with background jobs, PostgreSQL, Redis, and managed LLM access. | Mastra, Next.js, PostgreSQL, Redis, BullMQ, AI, Agents, Support, Operations | TypeScript, JavaScript, Docker | | [Model Context Protocol (MCP) Chatbot](./samples/mcp) | An MCP (Model Context Protocol) chatbot assistant built with Next.js, Python, and Anthropic Claude. | MCP, Next.js, Python, Quart, Claude, AI, Anthropic, TypeScript, React, JavaScript | nodejs, python | | [Metabase & PostgreSQL](./samples/metabase) | A simple Metabase configuration with a PostgreSQL database. | Metabase, PostgreSQL, Analytics, Database | SQL | | [n8n](./samples/n8n) | A n8n app running on Defang. | n8n, PostgreSQL, Docker | Docker, Shell | diff --git a/samples/mastra-nextjs-postgres-redis/.gitignore b/samples/mastra-nextjs-postgres-redis/.gitignore new file mode 100644 index 00000000..3c3629e6 --- /dev/null +++ b/samples/mastra-nextjs-postgres-redis/.gitignore @@ -0,0 +1 @@ +node_modules diff --git a/samples/mastra-nextjs-postgres-redis/README.md b/samples/mastra-nextjs-postgres-redis/README.md new file mode 100644 index 00000000..6c2dc66f --- /dev/null +++ b/samples/mastra-nextjs-postgres-redis/README.md @@ -0,0 +1,93 @@ +# Mastra & Next.js & PostgreSQL & Redis + +[![1-click-deploy](https://raw.githubusercontent.com/DefangLabs/defang-assets/main/Logos/Buttons/SVG/deploy-with-defang.svg)](https://portal.defang.dev/redirect?url=https%3A%2F%2Fgithub.com%2Fnew%3Ftemplate_name%3Dsample-mastra-nextjs-postgres-redis-template%26template_owner%3DDefangSamples) + +This sample shows a multi-service AI app built with [Mastra](https://mastra.ai/), Next.js, PostgreSQL (with pgvector), Redis, and BullMQ, deployed with Defang from a single Docker Compose file. + +A background worker generates sample tasks and events with an LLM, pushes them to a queue, then they get classified and stored with vector embeddings in PostgreSQL for semantic search. A Mastra-powered chat agent uses tools to inspect the current state before answering questions. + +## Prerequisites + +1. Download [Defang CLI](https://github.com/DefangLabs/defang) +2. (Optional) If you are using [Defang BYOC](https://docs.defang.io/docs/concepts/defang-byoc) authenticate with your cloud provider account +3. (Optional for local development) [Docker CLI](https://docs.docker.com/engine/install/) + +## Development + +To run the application locally for development, use the development compose file: + +```bash +docker compose -f compose.dev.yaml up --build +``` + +This will: + +- Start the Next.js app on `http://localhost:3000` +- Start PostgreSQL on port 5432 +- Start Redis on port 6379 +- Start a background worker for item classification + +Local development defaults to `MOCK_AGENT=true`, so the UI works without cloud model credentials. + +## Configuration + +For this sample, you will need to provide the following [configuration](https://docs.defang.io/docs/concepts/configuration). Note that if you are using the 1-click deploy option, you can set these values as secrets in your GitHub repository and the action will automatically deploy them for you. + +### `POSTGRES_PASSWORD` + +The password for your PostgreSQL database. You need to set this before deploying for the first time. + +*You can easily set this to a random string using `defang config set POSTGRES_PASSWORD --random`* + +### `LLM_MODEL` + +The model used for item generation, per-item classification, and the Mastra chat agent. Uses `provider/model` format. + +*Example: `defang config set LLM_MODEL` then enter `bedrock/us.amazon.nova-pro-v1:0`* + +### `EMBEDDING_MODEL` + +The embedding model used for semantic vector search. Uses the same `provider/model` format. + +*Example: `defang config set EMBEDDING_MODEL` then enter `bedrock/amazon.titan-embed-text-v2:0`* + +## Usage + +1. Open the app. +2. Click **Generate sample items**. +3. Watch the worker create 10 tasks and 10 events, then fan out per-item classify/embed jobs (progress updates in real time via SSE). +4. Ask questions like: + - `What should I look at first?` + - `Summarize the tasks and events.` + - `Which items seem related?` + - `Find events similar to the deploy rollback.` + +## Deployment + +> [!NOTE] +> Download [Defang CLI](https://github.com/DefangLabs/defang) + +### Defang Playground + +Deploy your application to the Defang Playground by opening up your terminal and typing: + +```bash +defang compose up +``` + +### BYOC (Deploy to your own AWS or GCP cloud account) + +If you want to deploy to your own cloud account, you can [use Defang BYOC](https://docs.defang.io/docs/tutorials/deploy-to-your-cloud). + +> [!WARNING] +> **Extended deployment time:** This sample creates a managed PostgreSQL database which may take upwards of 20 minutes to provision on first deployment. Subsequent deployments are much faster (2-5 minutes). + +--- + +Title: Mastra & Next.js & PostgreSQL & Redis + +Short Description: A small Defang sample where background jobs classify and embed tasks and events, and a Mastra copilot answers questions with tools. + +Tags: Mastra, Next.js, PostgreSQL, Redis, BullMQ, AI, Agents + +Languages: TypeScript, JavaScript, Docker diff --git a/samples/mastra-nextjs-postgres-redis/app/.dockerignore b/samples/mastra-nextjs-postgres-redis/app/.dockerignore new file mode 100644 index 00000000..32b3ece9 --- /dev/null +++ b/samples/mastra-nextjs-postgres-redis/app/.dockerignore @@ -0,0 +1,3 @@ +node_modules +.next +npm-debug.log diff --git a/samples/mastra-nextjs-postgres-redis/app/.gitignore b/samples/mastra-nextjs-postgres-redis/app/.gitignore new file mode 100644 index 00000000..b90a368f --- /dev/null +++ b/samples/mastra-nextjs-postgres-redis/app/.gitignore @@ -0,0 +1,2 @@ +node_modules +.next diff --git a/samples/mastra-nextjs-postgres-redis/app/Dockerfile b/samples/mastra-nextjs-postgres-redis/app/Dockerfile new file mode 100644 index 00000000..f8862651 --- /dev/null +++ b/samples/mastra-nextjs-postgres-redis/app/Dockerfile @@ -0,0 +1,20 @@ +FROM node:20-bookworm-slim + +RUN apt-get update -qq \ + && apt-get install -y curl \ + && apt-get clean \ + && rm -rf /var/lib/apt/lists/* + +WORKDIR /app + +COPY package*.json ./ + +RUN npm ci + +COPY . . + +RUN npm run build + +EXPOSE 3000 + +CMD ["npm", "start"] diff --git a/samples/mastra-nextjs-postgres-redis/app/next-env.d.ts b/samples/mastra-nextjs-postgres-redis/app/next-env.d.ts new file mode 100644 index 00000000..9edff1c7 --- /dev/null +++ b/samples/mastra-nextjs-postgres-redis/app/next-env.d.ts @@ -0,0 +1,6 @@ +/// +/// +import "./.next/types/routes.d.ts"; + +// NOTE: This file should not be edited +// see https://nextjs.org/docs/app/api-reference/config/typescript for more information. diff --git 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--git a/samples/mastra-nextjs-postgres-redis/app/package.json b/samples/mastra-nextjs-postgres-redis/app/package.json new file mode 100644 index 00000000..6246dcfe --- /dev/null +++ b/samples/mastra-nextjs-postgres-redis/app/package.json @@ -0,0 +1,37 @@ +{ + "name": "mastra-nextjs-postgres-redis", + "version": "0.1.0", + "private": true, + "type": "module", + "scripts": { + "dev": "next dev", + "build": "next build", + "start": "next start", + "worker": "tsx src/worker.ts" + }, + "dependencies": { + "@ai-sdk/amazon-bedrock": "^4.0.92", + "@aws-sdk/credential-providers": "^3.1028.0", + "@mastra/core": "^1.23.0", + "@mastra/memory": "^1.14.0", + "@mastra/pg": "^1.9.0", + "ai": "^6.0.149", + "bullmq": "^5.73.0", + "ioredis": "^5.10.1", + "next": "^16.2.2", + "pg": "^8.20.0", + "react": "^19.2.4", + "react-dom": "^19.2.4", + "react-markdown": "^10.1.0", + "remark-gfm": "^4.0.1", + "tsx": "^4.21.0", + "zod": "^4.3.6" + }, + "devDependencies": { + "@types/node": "^25.5.2", + "@types/pg": "^8.20.0", + "@types/react": "^19.2.14", + "@types/react-dom": "^19.2.3", + "typescript": "^6.0.2" + } +} diff --git a/samples/mastra-nextjs-postgres-redis/app/src/app/api/chat/route.ts b/samples/mastra-nextjs-postgres-redis/app/src/app/api/chat/route.ts new file mode 100644 index 00000000..bb381bf3 --- /dev/null +++ b/samples/mastra-nextjs-postgres-redis/app/src/app/api/chat/route.ts @@ -0,0 +1,469 @@ +/** + * POST /api/chat โ€” Copilot endpoint. + * + * Accepts a user message and returns either a streaming (NDJSON) or + * non-streaming JSON response from the Mastra agent. The agent uses tools + * (getTasks, getEvents, getTags, searchItems) to inspect app state before + * answering. When MOCK_AGENT is enabled or the agent fails, responses fall + * back to a lightweight mock that queries the database directly. + */ + +import { randomUUID } from "node:crypto"; +import { setTimeout as sleep } from "node:timers/promises"; + +import { NextRequest, NextResponse } from "next/server"; + +import type { ChatStreamEvent } from "@/app/types"; +import { ensureSchema } from "@/lib/db"; +import { getMockReply } from "@/lib/mock-agent"; +import { mastra } from "@/mastra"; + +export const runtime = "nodejs"; + +// --------------------------------------------------------------------------- +// Request parsing +// --------------------------------------------------------------------------- + +interface ChatRequest { + message: string; + threadId: string; + stream: boolean; +} + +function parseChatRequest(payload: unknown): ChatRequest | null { + if (typeof payload !== "object" || !payload) return null; + const obj = payload as Record; + const message = typeof obj.message === "string" ? obj.message : null; + if (!message) return null; + + return { + message, + threadId: typeof obj.threadId === "string" ? obj.threadId : randomUUID(), + stream: obj.stream === true, + }; +} + +// --------------------------------------------------------------------------- +// Agent helpers +// --------------------------------------------------------------------------- + +const agentOptions = (threadId: string) => ({ + resourceId: "tasks-and-events" as const, + threadId, + maxSteps: 15, + toolChoice: (process.env.LLM_DISABLE_TOOLS === "true" ? "none" : "auto") as "none" | "auto", +}); + +/** Streams agent output. v1 models return plain text; v2+ return structured chunks with tool calls. */ +async function callAgentStream(message: string, threadId: string) { + const agent = mastra.getAgent("opsAgent"); + const model = await agent.getModel(); + const options = agentOptions(threadId); + + const isLegacy = model.specificationVersion === "v1"; + const response = isLegacy + ? await agent.streamLegacy(message, options) + : await agent.stream(message, options); + + return { + stream: isLegacy ? response.textStream : response.fullStream, + streamKind: isLegacy ? ("text" as const) : ("full" as const), + }; +} + +async function callAgentGenerate(message: string, threadId: string) { + const agent = mastra.getAgent("opsAgent"); + const model = await agent.getModel(); + const options = agentOptions(threadId); + + return model.specificationVersion === "v1" + ? agent.generateLegacy(message, options) + : agent.generate(message, options); +} + +// --------------------------------------------------------------------------- +// Stream iteration helpers +// --------------------------------------------------------------------------- + +function isReadableStream(value: unknown): value is ReadableStream { + return typeof value === "object" && value !== null && "getReader" in value; +} + +function isAsyncIterable(value: unknown): value is AsyncIterable { + return typeof value === "object" && value !== null && Symbol.asyncIterator in value; +} + +async function* iterateTextStream(source: unknown): AsyncGenerator { + if (!source) return; + + if (isReadableStream(source)) { + const reader = source.getReader(); + try { + while (true) { + const { done, value } = await reader.read(); + if (done) break; + if (typeof value === "string") yield value; + else if (value instanceof Uint8Array) yield new TextDecoder().decode(value); + } + } finally { + reader.releaseLock(); + } + return; + } + + if (isAsyncIterable(source)) { + for await (const chunk of source) { + if (typeof chunk === "string") yield chunk; + } + } +} + +async function* iterateStructuredStream(source: unknown): AsyncGenerator { + if (!source) return; + + if (isReadableStream(source)) { + const reader = source.getReader(); + try { + while (true) { + const { done, value } = await reader.read(); + if (done) break; + yield value; + } + } finally { + reader.releaseLock(); + } + return; + } + + if (isAsyncIterable(source)) { + for await (const chunk of source) { + yield chunk; + } + } +} + +// --------------------------------------------------------------------------- +// Thinking-tag splitter (stateful across streamed chunks) +// +// Some models emit internal reasoning inside ... tags. +// This stateful parser strips those tags from the text stream so only the +// user-visible reply is forwarded to the client. The structured stream path +// handles reasoning via dedicated "reasoning-delta" chunks instead. +// --------------------------------------------------------------------------- + +function createThinkingTextSplitter() { + const openingTag = ""; + const closingTag = ""; + let pending = ""; + let insideThinking = false; + + function* feed(chunk: string): Generator<{ type: "delta" | "thinking"; text: string }> { + pending += chunk.replace(//gi, openingTag).replace(/<\/thinking>/gi, closingTag); + + while (pending.length > 0) { + if (insideThinking) { + const closingIndex = pending.indexOf(closingTag); + if (closingIndex === -1) { + pending = pending.slice(Math.max(0, pending.length - (closingTag.length - 1))); + break; + } + pending = pending.slice(closingIndex + closingTag.length); + insideThinking = false; + continue; + } + + const openingIndex = pending.indexOf(openingTag); + if (openingIndex === -1) { + const safeLength = Math.max(0, pending.length - (openingTag.length - 1)); + if (safeLength > 0) { + yield { type: "delta", text: pending.slice(0, safeLength) }; + pending = pending.slice(safeLength); + } + break; + } + + if (openingIndex > 0) { + yield { type: "delta", text: pending.slice(0, openingIndex) }; + } + pending = pending.slice(openingIndex + openingTag.length); + insideThinking = true; + } + } + + function* flush(): Generator<{ type: "delta" | "thinking"; text: string }> { + if (pending.length === 0) return; + yield { type: insideThinking ? "thinking" : "delta", text: pending }; + pending = ""; + insideThinking = false; + } + + return { feed, flush }; +} + +// --------------------------------------------------------------------------- +// Chunk inspection helpers +// --------------------------------------------------------------------------- + +function getChunkType(chunk: unknown) { + if (typeof chunk === "object" && chunk && "type" in chunk && typeof chunk.type === "string") { + return chunk.type; + } + return null; +} + +function getPayload(chunk: unknown): Record { + if (typeof chunk === "object" && chunk && "payload" in chunk && typeof chunk.payload === "object" && chunk.payload) { + return chunk.payload as Record; + } + return {}; +} + +function getToolName(payload: Record) { + return typeof payload.toolName === "string" ? payload.toolName : "unknownTool"; +} + +function summarizeToolResult(result: unknown) { + if (Array.isArray(result)) { + const first = result[0]; + const noun = + typeof first === "object" && first && "tag" in first + ? "tag" + : typeof first === "object" && first && "title" in first + ? "item" + : "row"; + return `${result.length} ${result.length === 1 ? noun : `${noun}s`} returned`; + } + + if (typeof result === "object" && result) { + const keys = Object.keys(result); + return keys.length > 0 ? `${keys.slice(0, 4).join(", ")} returned` : "Object returned"; + } + + if (typeof result === "string") { + return result.length > 96 ? `${result.slice(0, 96)}...` : result; + } + + return result == null ? "No result returned" : String(result); +} + +function getToolTraceNote(toolName: string) { + switch (toolName) { + case "getTags": + return "Checking the classification tags first so the follow-up query can be more focused."; + case "getTasks": + return "Looking at matching tasks with the current filters."; + case "getEvents": + return "Looking at matching events with the current filters."; + case "searchItems": + return "Searching embedded items for semantic matches."; + default: + return `Running ${toolName} to gather current app state.`; + } +} + +// --------------------------------------------------------------------------- +// Text helpers +// --------------------------------------------------------------------------- + +function extractText(result: unknown) { + if (typeof result === "string") return result; + if (typeof result === "object" && result && "text" in result && typeof result.text === "string") { + return result.text; + } + return "The copilot ran, but no text response was returned."; +} + +function extractErrorMessage(error: unknown) { + if (error instanceof Error) return error.message; + return "The copilot failed while streaming a response."; +} + +function chunkText(text: string) { + return text.match(/\S+\s*/g) ?? [text]; +} + +function stripThinkingText(text: string) { + return text.replace(/[\s\S]*?<\/thinking>\s*/gi, "").trim(); +} + +// --------------------------------------------------------------------------- +// Mock stream helper +// --------------------------------------------------------------------------- + +async function* createMockStream(message: string) { + const reply = await getMockReply(message); + for (const chunk of chunkText(reply)) { + yield chunk; + await sleep(12); + } +} + +// --------------------------------------------------------------------------- +// Streaming response +// --------------------------------------------------------------------------- + +type EmitEvent = (event: ChatStreamEvent) => void; + +async function emitFallbackReply(message: string, emit: EmitEvent) { + const reply = await getMockReply(message); + for (const chunk of chunkText(reply)) { + emit({ type: "delta", text: chunk }); + } +} + +async function processTextStream(source: unknown, splitter: ReturnType, emit: EmitEvent) { + let emittedOutput = false; + for await (const chunk of iterateTextStream(source)) { + for (const part of splitter.feed(chunk)) { + if (!part.text) continue; + emittedOutput = true; + emit({ type: part.type, text: part.text }); + } + } + return emittedOutput; +} + +async function processStructuredStream(source: unknown, splitter: ReturnType, emit: EmitEvent) { + let emittedOutput = false; + + for await (const chunk of iterateStructuredStream(source)) { + const type = getChunkType(chunk); + const payload = getPayload(chunk); + + if (type === "text-delta" && typeof payload.text === "string") { + for (const part of splitter.feed(payload.text)) { + if (!part.text) continue; + emittedOutput = true; + emit({ type: part.type, text: part.text }); + } + } + + if (type === "reasoning-delta" && typeof payload.text === "string") { + emittedOutput = true; + emit({ type: "thinking", text: payload.text }); + } + + if (type === "tool-call") { + emittedOutput = true; + const toolName = getToolName(payload); + emit({ type: "thinking", text: getToolTraceNote(toolName) }); + emit({ type: "tool_call", toolName, args: "args" in payload ? payload.args : null }); + } + + if (type === "tool-result" || type === "tool-output") { + emittedOutput = true; + emit({ + type: "tool_result", + toolName: getToolName(payload), + summary: summarizeToolResult("result" in payload ? payload.result : payload.output), + }); + } + + if (type === "error") { + emit({ + type: "error", + message: extractErrorMessage("error" in payload ? payload.error : payload), + }); + } + } + + return emittedOutput; +} + +function handleStreamingRequest(request: ChatRequest) { + const encoder = new TextEncoder(); + + return new Response( + new ReadableStream({ + async start(controller) { + const emit: EmitEvent = (event) => controller.enqueue(encoder.encode(`${JSON.stringify(event)}\n`)); + emit({ type: "meta", threadId: request.threadId }); + + try { + const splitter = createThinkingTextSplitter(); + let emittedOutput: boolean; + + if (process.env.MOCK_AGENT === "true") { + emittedOutput = await processTextStream(createMockStream(request.message), splitter, emit); + } else { + const reply = await callAgentStream(request.message, request.threadId); + emittedOutput = + reply.streamKind === "text" + ? await processTextStream(reply.stream, splitter, emit) + : await processStructuredStream(reply.stream, splitter, emit); + } + + for (const part of splitter.flush()) { + if (!part.text) continue; + emittedOutput = true; + emit({ type: part.type, text: part.text }); + } + + if (!emittedOutput) { + await emitFallbackReply(request.message, emit); + } + + emit({ type: "done" }); + } catch (error) { + try { + await emitFallbackReply(request.message, emit); + emit({ type: "done" }); + } catch { + emit({ type: "error", message: extractErrorMessage(error) }); + } + } finally { + controller.close(); + } + }, + }), + { + headers: { + "Content-Type": "application/x-ndjson; charset=utf-8", + "Cache-Control": "no-cache, no-transform", + Connection: "keep-alive", + }, + }, + ); +} + +// --------------------------------------------------------------------------- +// Non-streaming response +// --------------------------------------------------------------------------- + +async function handleNonStreamingRequest(request: ChatRequest) { + if (process.env.MOCK_AGENT === "true") { + const reply = await getMockReply(request.message); + return NextResponse.json({ reply, threadId: request.threadId }); + } + + try { + const response = await callAgentGenerate(request.message, request.threadId); + const reply = stripThinkingText(extractText(response)); + + if (!reply || reply === "The copilot ran, but no text response was returned.") { + throw new Error("Agent returned no text"); + } + + return NextResponse.json({ reply, threadId: request.threadId }); + } catch { + const reply = await getMockReply(request.message); + return NextResponse.json({ reply, threadId: request.threadId }); + } +} + +// --------------------------------------------------------------------------- +// Route handler +// --------------------------------------------------------------------------- + +export async function POST(httpRequest: NextRequest) { + await ensureSchema(); + + const request = parseChatRequest(await httpRequest.json()); + if (!request) { + return NextResponse.json({ error: "A message is required." }, { status: 400 }); + } + + return request.stream + ? handleStreamingRequest(request) + : handleNonStreamingRequest(request); +} diff --git a/samples/mastra-nextjs-postgres-redis/app/src/app/api/dashboard/route.ts b/samples/mastra-nextjs-postgres-redis/app/src/app/api/dashboard/route.ts new file mode 100644 index 00000000..34e9c9e4 --- /dev/null +++ b/samples/mastra-nextjs-postgres-redis/app/src/app/api/dashboard/route.ts @@ -0,0 +1,13 @@ +import { NextResponse } from "next/server"; + +import { ensureSchema } from "@/lib/db"; +import { getItemCounts, getLatestRun } from "@/lib/items"; +import { getQueueCounts } from "@/lib/queue"; + +export const runtime = "nodejs"; + +export async function GET() { + await ensureSchema(); + const [counts, latestRun, queue] = await Promise.all([getItemCounts(), getLatestRun(), getQueueCounts()]); + return NextResponse.json({ counts, latestRun, queue }); +} diff --git a/samples/mastra-nextjs-postgres-redis/app/src/app/api/dashboard/stream/route.ts b/samples/mastra-nextjs-postgres-redis/app/src/app/api/dashboard/stream/route.ts new file mode 100644 index 00000000..c906ef66 --- /dev/null +++ b/samples/mastra-nextjs-postgres-redis/app/src/app/api/dashboard/stream/route.ts @@ -0,0 +1,63 @@ +import { ensureSchema } from "@/lib/db"; +import { getItemCounts, getLatestRun } from "@/lib/items"; +import { getQueueCounts } from "@/lib/queue"; + +export const runtime = "nodejs"; +export const dynamic = "force-dynamic"; + +export async function GET(request: Request) { + await ensureSchema(); + + const encoder = new TextEncoder(); + let closed = false; + + const stream = new ReadableStream({ + async start(controller) { + request.signal.addEventListener("abort", () => { + closed = true; + }); + + let previousJson = ""; + let heartbeatCounter = 0; + + while (!closed) { + try { + const [counts, latestRun, queue] = await Promise.all([ + getItemCounts(), + getLatestRun(), + getQueueCounts(), + ]); + + const payload = JSON.stringify({ counts, latestRun, queue }); + + if (payload !== previousJson) { + controller.enqueue(encoder.encode(`data: ${payload}\n\n`)); + previousJson = payload; + heartbeatCounter = 0; + } else { + heartbeatCounter += 1; + // Send heartbeat every ~50 ticks (~15s at 0.3s interval) + if (heartbeatCounter >= 50) { + controller.enqueue(encoder.encode(`: heartbeat\n\n`)); + heartbeatCounter = 0; + } + } + } catch { + // Transient errors โ€” skip this tick + } + + await new Promise((resolve) => setTimeout(resolve, 300)); + } + + controller.close(); + }, + }); + + return new Response(stream, { + headers: { + "Content-Type": "text/event-stream", + "Cache-Control": "no-cache, no-transform", + Connection: "keep-alive", + }, + }); +} diff --git a/samples/mastra-nextjs-postgres-redis/app/src/app/api/health/route.ts b/samples/mastra-nextjs-postgres-redis/app/src/app/api/health/route.ts new file mode 100644 index 00000000..e8c881c2 --- /dev/null +++ b/samples/mastra-nextjs-postgres-redis/app/src/app/api/health/route.ts @@ -0,0 +1,10 @@ +import { NextResponse } from "next/server"; + +import { ensureSchema } from "@/lib/db"; + +export const runtime = "nodejs"; + +export async function GET() { + await ensureSchema(); + return NextResponse.json({ ok: true }); +} diff --git a/samples/mastra-nextjs-postgres-redis/app/src/app/api/items/route.ts b/samples/mastra-nextjs-postgres-redis/app/src/app/api/items/route.ts new file mode 100644 index 00000000..5f7541c6 --- /dev/null +++ b/samples/mastra-nextjs-postgres-redis/app/src/app/api/items/route.ts @@ -0,0 +1,12 @@ +import { NextResponse } from "next/server"; + +import { ensureSchema } from "@/lib/db"; +import { getItemsByType } from "@/lib/items"; + +export const runtime = "nodejs"; + +export async function GET() { + await ensureSchema(); + const [tasks, events] = await Promise.all([getItemsByType("task", 10), getItemsByType("event", 10)]); + return NextResponse.json({ tasks, events }); +} diff --git a/samples/mastra-nextjs-postgres-redis/app/src/app/api/items/seed/route.ts b/samples/mastra-nextjs-postgres-redis/app/src/app/api/items/seed/route.ts new file mode 100644 index 00000000..206bf0a7 --- /dev/null +++ b/samples/mastra-nextjs-postgres-redis/app/src/app/api/items/seed/route.ts @@ -0,0 +1,36 @@ +import { randomUUID } from "node:crypto"; + +import { NextResponse } from "next/server"; + +import { ensureSchema } from "@/lib/db"; +import { createSeedRun, getLatestRun, resetDemoState } from "@/lib/items"; +import { getSyncQueue } from "@/lib/queue"; + +export const runtime = "nodejs"; + +export async function POST() { + await ensureSchema(); + + const latestRun = await getLatestRun(); + if (latestRun && (latestRun.status === "queued" || latestRun.status === "running")) { + return NextResponse.json({ error: "A generation run is already active." }, { status: 409 }); + } + + await resetDemoState(); + + const runId = randomUUID(); + await createSeedRun(runId, 20); + + const queue = getSyncQueue(); + await queue.add( + "seed-batch", + { runId }, + { + jobId: runId, + removeOnComplete: 20, + removeOnFail: 20, + }, + ); + + return NextResponse.json({ runId }); +} diff --git a/samples/mastra-nextjs-postgres-redis/app/src/app/components/chat-message.tsx b/samples/mastra-nextjs-postgres-redis/app/src/app/components/chat-message.tsx new file mode 100644 index 00000000..900789d0 --- /dev/null +++ b/samples/mastra-nextjs-postgres-redis/app/src/app/components/chat-message.tsx @@ -0,0 +1,60 @@ +import ReactMarkdown from "react-markdown"; +import remarkGfm from "remark-gfm"; + +import type { ChatMessage as ChatMessageType, ChatTraceEvent } from "@/app/types"; +import { formatToolArgs } from "@/app/formatting"; + +function TraceStack({ trace }: { trace: ChatTraceEvent[] }) { + return ( +
+ {trace.map((traceEvent) => { + if (traceEvent.type === "thinking") { + return ( +
+ Thinking +

{traceEvent.text.trim()}

+
+ ); + } + + if (traceEvent.type === "tool_call") { + return ( +
+ Tool call + {traceEvent.toolName} + {formatToolArgs(traceEvent.args)} +
+ ); + } + + return ( +
+ Tool result + {traceEvent.toolName} + {traceEvent.summary} +
+ ); + })} +
+ ); +} + +export function ChatMessageView({ message }: { message: ChatMessageType }) { + if (message.role === "user") { + return ( +
+ {message.content} +
+ ); + } + + return ( +
+
+ {message.trace && message.trace.length > 0 ? : null} + {message.content || "Working..."} + {message.state === "streaming" ?
+
+ ); +} diff --git a/samples/mastra-nextjs-postgres-redis/app/src/app/components/item-card.tsx b/samples/mastra-nextjs-postgres-redis/app/src/app/components/item-card.tsx new file mode 100644 index 00000000..4b8dd110 --- /dev/null +++ b/samples/mastra-nextjs-postgres-redis/app/src/app/components/item-card.tsx @@ -0,0 +1,35 @@ +import type { Item } from "@/app/types"; +import { formatPriority, formatTimestamp, priorityClass } from "@/app/formatting"; + +export function ItemCard({ item, showAssignee = false }: { item: Item; showAssignee?: boolean }) { + return ( +
+
+ {item.source} + {formatPriority(item.priority)} +
+

{item.title}

+

{item.body}

+
+ {showAssignee ? ( + <> + {item.assignee ? `Assigned to ${item.assignee}` : "Unassigned"} + {item.status ?? "pending"} + + ) : ( + {formatTimestamp(item.createdAt)} + )} + {item.category ?? "classifying"} +
+ {item.tags.length > 0 ? ( +
+ {item.tags.map((tag) => ( + + {tag} + + ))} +
+ ) : null} +
+ ); +} diff --git a/samples/mastra-nextjs-postgres-redis/app/src/app/formatting.ts b/samples/mastra-nextjs-postgres-redis/app/src/app/formatting.ts new file mode 100644 index 00000000..bf5b2727 --- /dev/null +++ b/samples/mastra-nextjs-postgres-redis/app/src/app/formatting.ts @@ -0,0 +1,43 @@ +export function generateMessageId() { + if (typeof crypto !== "undefined" && "randomUUID" in crypto) { + return crypto.randomUUID(); + } + + return `${Date.now()}-${Math.random().toString(16).slice(2)}`; +} + +export function formatTimestamp(value: string | null | undefined) { + if (!value) return "Not started yet"; + return new Intl.DateTimeFormat(undefined, { + month: "short", + day: "numeric", + hour: "numeric", + minute: "2-digit", + }).format(new Date(value)); +} + +export function formatPriority(priority: string | null) { + if (!priority) return "pending"; + return priority; +} + +export function priorityClass(priority: string | null) { + const normalized = priority?.toLowerCase() ?? ""; + if (normalized === "critical") return "status-critical"; + if (normalized === "high") return "status-high"; + if (normalized === "medium") return "status-medium"; + return "status-low"; +} + +export function formatToolArgs(args: unknown) { + if (!args || typeof args !== "object") { + return "no filters"; + } + + const entries = Object.entries(args).filter(([, value]) => value !== undefined && value !== null && value !== ""); + if (entries.length === 0) return "no filters"; + + return entries + .map(([key, value]) => `${key}: ${typeof value === "string" ? value : JSON.stringify(value)}`) + .join(", "); +} diff --git a/samples/mastra-nextjs-postgres-redis/app/src/app/globals.css b/samples/mastra-nextjs-postgres-redis/app/src/app/globals.css new file mode 100644 index 00000000..42174001 --- /dev/null +++ b/samples/mastra-nextjs-postgres-redis/app/src/app/globals.css @@ -0,0 +1,553 @@ +:root { + color-scheme: light; + --bg: #f6f2e9; + --surface: rgba(255, 255, 255, 0.92); + --surface-strong: rgba(255, 255, 255, 0.98); + --border: #d8d0c4; + --text: #1f2c38; + --muted: #62707d; + --brand: #0f4c5c; + --brand-strong: #0a3442; + --accent: #cc7a32; + --critical: #b42318; + --high: #b54708; + --medium: #1769aa; + --low: #667085; + --chat-width: 360px; + --gutter: 20px; + --font-display: "Sora", "Space Grotesk", "Avenir Next", sans-serif; + --font-body: "Source Sans 3", "Segoe UI", sans-serif; +} + +* { + box-sizing: border-box; +} + +html, +body { + margin: 0; + padding: 0; + min-height: 100%; +} + +body { + color: var(--text); + font-family: var(--font-body); + background: + radial-gradient(circle at 10% 10%, rgba(15, 76, 92, 0.12), transparent 36%), + radial-gradient(circle at 90% 8%, rgba(204, 122, 50, 0.1), transparent 28%), + linear-gradient(180deg, #fbf8f2 0%, var(--bg) 52%, #f8f2e8 100%); +} + +button, +textarea, +input { + font: inherit; +} + +h1, +h2, +h3, +p { + margin: 0; +} + +.app-shell { + min-height: 100vh; +} + +.chat-rail { + position: fixed; + inset: 0 auto 0 0; + width: calc(var(--chat-width) + (var(--gutter) * 2)); + padding: var(--gutter); +} + +.content-shell { + width: min(1100px, calc(100vw - var(--chat-width) - (var(--gutter) * 4))); + margin-left: calc(var(--chat-width) + (var(--gutter) * 2)); + margin-right: auto; + padding: 22px var(--gutter) 56px; +} + +.card { + border: 1px solid var(--border); + border-radius: 24px; + background: var(--surface); + box-shadow: 0 18px 36px rgba(25, 34, 41, 0.06); + backdrop-filter: blur(6px); +} + +.hero-card { + display: flex; + gap: 18px; + justify-content: space-between; + align-items: flex-start; + padding: 22px; +} + +.hero-copy { + max-width: 640px; +} + +.eyebrow { + display: inline-flex; + padding: 7px 12px; + border-radius: 999px; + border: 1px solid rgba(15, 76, 92, 0.24); + background: rgba(15, 76, 92, 0.08); + color: var(--brand); + font-size: 0.82rem; + font-weight: 700; + letter-spacing: 0.02em; +} + +.hero-card h2, +.chat-title { + margin-top: 12px; + font-family: var(--font-display); + line-height: 1.02; + letter-spacing: -0.04em; +} + +.hero-card h2 { + font-size: clamp(2rem, 3vw, 2.8rem); +} + +.chat-title { + font-size: clamp(1.6rem, 2.2vw, 2rem); +} + +.muted-text { + color: var(--muted); + line-height: 1.45; +} + +.hero-copy .muted-text, +.chat-intro { + margin-top: 10px; +} + +.hero-actions { + display: grid; + gap: 12px; + min-width: min(320px, 100%); +} + +.primary-button, +.suggestion-chip { + border-radius: 999px; + border: 1px solid transparent; + cursor: pointer; + transition: transform 140ms ease, opacity 140ms ease, background-color 140ms ease; +} + +.primary-button { + padding: 11px 16px; + background: linear-gradient(135deg, var(--brand) 0%, var(--brand-strong) 100%); + color: white; + font-weight: 700; + box-shadow: 0 16px 30px rgba(10, 52, 66, 0.22); +} + +.primary-button:hover, +.suggestion-chip:hover { + transform: translateY(-1px); +} + +.primary-button[disabled], +.suggestion-chip[disabled] { + opacity: 0.6; + cursor: not-allowed; + transform: none; +} + +.status-panel { + border: 1px solid var(--border); + border-radius: 18px; + background: var(--surface-strong); + padding: 12px; + display: grid; + gap: 6px; +} + +.status-label, +.stat-label { + display: block; + font-size: 0.8rem; + color: var(--muted); +} + +.stats-row { + margin-top: 16px; + display: grid; + grid-template-columns: repeat(4, minmax(0, 1fr)); + gap: 12px; +} + +.stat-card { + border: 1px solid var(--border); + border-radius: 18px; + background: var(--surface); + padding: 12px; +} + +.stat-card strong, +.status-panel strong { + display: block; + margin-top: 7px; + font-family: var(--font-display); + font-size: 1.7rem; + line-height: 1; +} + +.columns { + margin-top: 16px; + display: grid; + grid-template-columns: repeat(2, minmax(0, 1fr)); + gap: 16px; +} + +.list-card { + padding: 18px; +} + +.list-header { + margin-bottom: 14px; +} + +.list-header .muted-text { + margin-top: 8px; +} + +.item-list { + display: grid; + gap: 10px; +} + +.item-card { + border: 1px solid var(--border); + border-radius: 18px; + background: var(--surface-strong); + padding: 14px; +} + +.item-card h3 { + margin-top: 8px; + font-family: var(--font-display); + font-size: 1.02rem; + letter-spacing: -0.02em; +} + +.item-topline, +.meta-row { + display: flex; + justify-content: space-between; + gap: 8px; + align-items: center; + flex-wrap: wrap; +} + +.item-body { + margin-top: 8px; + color: var(--muted); + line-height: 1.45; +} + +.meta-row { + margin-top: 10px; + color: var(--muted); + font-size: 0.92rem; +} + +.source-pill, +.priority-pill, +.tag-pill { + display: inline-flex; + align-items: center; + border-radius: 999px; + font-size: 0.76rem; + font-weight: 700; +} + +.source-pill { + border: 1px solid rgba(15, 76, 92, 0.22); + background: rgba(15, 76, 92, 0.08); + color: var(--brand); + padding: 5px 10px; +} + +.priority-pill { + border: 1px solid var(--border); + background: white; + color: var(--low); + padding: 5px 10px; + text-transform: capitalize; +} + +.status-critical { + color: var(--critical); +} + +.status-high { + color: var(--high); +} + +.status-medium { + color: var(--medium); +} + +.status-low { + color: var(--low); +} + +.tag-row { + display: flex; + flex-wrap: wrap; + gap: 6px; + margin-top: 10px; +} + +.tag-pill { + border: 1px solid rgba(15, 76, 92, 0.2); + background: rgba(15, 76, 92, 0.06); + color: var(--brand); + padding: 3px 8px; +} + +.empty-list, +.chat-empty-state { + border: 1px dashed rgba(15, 76, 92, 0.26); + border-radius: 18px; + background: rgba(255, 255, 255, 0.68); + color: var(--muted); + padding: 14px; + line-height: 1.45; +} + +.chat-card { + display: grid; + grid-template-rows: auto auto 1fr auto; + height: 100%; + min-height: calc(100vh - (var(--gutter) * 2)); + padding: 18px; + gap: 12px; +} + +.suggestion-row { + display: flex; + flex-wrap: wrap; + gap: 8px; +} + +.suggestion-chip { + padding: 8px 12px; + border-color: rgba(15, 76, 92, 0.24); + background: rgba(255, 255, 255, 0.88); + color: var(--brand-strong); + font-size: 0.82rem; +} + +.chat-log { + display: grid; + gap: 10px; + align-content: start; + min-height: 0; + overflow: auto; + padding-right: 4px; +} + +.chat-message { + border-radius: 18px; + padding: 11px 13px; + white-space: pre-wrap; + line-height: 1.45; +} + +.chat-message.user { + margin-left: 18px; + background: linear-gradient(135deg, rgba(204, 122, 50, 0.16), rgba(204, 122, 50, 0.08)); +} + +.chat-message.assistant { + margin-right: 18px; + border: 1px solid var(--border); + background: rgba(255, 255, 255, 0.95); +} + +.chat-message.assistant.error { + border-color: rgba(180, 35, 24, 0.34); + background: rgba(180, 35, 24, 0.08); +} + +.chat-markdown > *:first-child { + margin-top: 0; +} + +.chat-markdown > *:last-child { + margin-bottom: 0; +} + +.chat-markdown p, +.chat-markdown ul, +.chat-markdown ol { + margin: 0 0 0.75rem; +} + +.chat-markdown ul, +.chat-markdown ol { + padding-left: 1.1rem; +} + +.chat-markdown code { + font-family: ui-monospace, "SFMono-Regular", Consolas, monospace; + font-size: 0.92em; + background: rgba(15, 76, 92, 0.08); + padding: 0.08rem 0.28rem; + border-radius: 0.35rem; +} + +.trace-stack { + display: grid; + gap: 6px; + margin-bottom: 12px; +} + +.trace-item { + border: 1px solid rgba(15, 76, 92, 0.16); + border-radius: 12px; + background: rgba(15, 76, 92, 0.05); + color: var(--muted); + padding: 8px 10px; + font-size: 0.82rem; + white-space: normal; +} + +.thinking-trace summary { + cursor: pointer; + color: var(--brand); + font-weight: 800; +} + +.thinking-trace p { + margin: 6px 0 0; +} + +.tool-trace { + display: grid; + gap: 4px; +} + +.tool-trace span { + color: var(--brand); + font-weight: 800; + text-transform: uppercase; + letter-spacing: 0.04em; + font-size: 0.7rem; +} + +.tool-trace strong { + color: var(--text); +} + +.tool-trace code { + display: block; + overflow-wrap: anywhere; +} + +.result-trace { + background: rgba(204, 122, 50, 0.07); + border-color: rgba(204, 122, 50, 0.2); +} + +.stream-cursor { + display: inline-block; + width: 9px; + height: 1.05em; + margin-left: 4px; + transform: translateY(1px); + border-radius: 2px; + background: var(--brand); + animation: cursorBlink 900ms steps(1, end) infinite; +} + +.chat-form { + display: grid; +} + +.chat-compose { + display: grid; + grid-template-columns: minmax(0, 1fr) auto; + gap: 10px; + align-items: stretch; +} + +.chat-input { + width: 100%; + min-height: 88px; + border-radius: 16px; + border: 1px solid var(--border); + background: white; + color: var(--text); + padding: 12px; + resize: none; +} + +.chat-send-button { + min-width: 88px; +} + +@keyframes cursorBlink { + 0%, + 49% { + opacity: 1; + } + + 50%, + 100% { + opacity: 0; + } +} + +@media (max-width: 1040px) { + .chat-rail { + position: static; + width: auto; + padding: 18px 18px 0; + } + + .content-shell { + width: auto; + max-width: 1100px; + margin: 0 auto; + padding: 18px 18px 56px; + } + + .hero-card, + .columns, + .stats-row { + grid-template-columns: 1fr; + } + + .hero-card { + display: grid; + } + + .chat-card { + min-height: 0; + height: auto; + } +} + +@media (max-width: 720px) { + .chat-compose, + .columns, + .stats-row { + grid-template-columns: 1fr; + } + + .primary-button, + .chat-send-button { + width: 100%; + } +} diff --git a/samples/mastra-nextjs-postgres-redis/app/src/app/hooks/use-chat.ts b/samples/mastra-nextjs-postgres-redis/app/src/app/hooks/use-chat.ts new file mode 100644 index 00000000..b4406a57 --- /dev/null +++ b/samples/mastra-nextjs-postgres-redis/app/src/app/hooks/use-chat.ts @@ -0,0 +1,181 @@ +/** + * Chat state hook. Sends user messages to POST /api/chat and reads the + * streamed NDJSON response, updating message state as text deltas, tool + * traces, and completion events arrive. + */ + +"use client"; + +import { FormEvent, useEffect, useRef, useState } from "react"; + +import type { ChatMessage, ChatStreamEvent, ChatTraceEvent } from "@/app/types"; +import { generateMessageId } from "@/app/formatting"; + +export function useChat() { + const [messages, setMessages] = useState([]); + const [prompt, setPrompt] = useState("What should I look at first?"); + const [threadId, setThreadId] = useState(); + const [sending, setSending] = useState(false); + const chatLogRef = useRef(null); + + useEffect(() => { + if (!chatLogRef.current) return; + chatLogRef.current.scrollTop = chatLogRef.current.scrollHeight; + }, [messages]); + + function appendTrace(messageId: string, traceEvent: ChatTraceEvent) { + setMessages((prev) => + prev.map((message) => { + if (message.id !== messageId) return message; + + const trace = message.trace ?? []; + const lastTrace = trace[trace.length - 1]; + + if (traceEvent.type === "thinking" && lastTrace?.type === "thinking") { + return { + ...message, + trace: [...trace.slice(0, -1), { ...lastTrace, text: lastTrace.text + traceEvent.text }], + }; + } + + return { ...message, trace: [...trace, traceEvent] }; + }), + ); + } + + function applyStreamEvent(messageId: string, streamEvent: ChatStreamEvent) { + if (streamEvent.type === "meta") { + setThreadId(streamEvent.threadId); + return; + } + + if (streamEvent.type === "delta") { + setMessages((prev) => + prev.map((message) => + message.id === messageId + ? { ...message, state: "streaming", content: message.content + streamEvent.text } + : message, + ), + ); + return; + } + + if (streamEvent.type === "thinking") { + appendTrace(messageId, { id: generateMessageId(), type: "thinking", text: streamEvent.text }); + return; + } + + if (streamEvent.type === "tool_call") { + appendTrace(messageId, { + id: generateMessageId(), + type: "tool_call", + toolName: streamEvent.toolName, + args: streamEvent.args, + }); + return; + } + + if (streamEvent.type === "tool_result") { + appendTrace(messageId, { + id: generateMessageId(), + type: "tool_result", + toolName: streamEvent.toolName, + summary: streamEvent.summary, + }); + return; + } + + if (streamEvent.type === "done") { + setMessages((prev) => + prev.map((message) => + message.id === messageId + ? { ...message, state: "complete", content: message.content || "No response text returned." } + : message, + ), + ); + return; + } + + if (streamEvent.type === "error") { + setMessages((prev) => + prev.map((message) => + message.id === messageId + ? { ...message, state: "error", content: message.content || streamEvent.message } + : message, + ), + ); + } + } + + async function readStreamInto(messageId: string, reader: ReadableStreamDefaultReader) { + const decoder = new TextDecoder(); + let buffer = ""; + + while (true) { + const { done, value } = await reader.read(); + if (done) break; + + buffer += decoder.decode(value, { stream: true }); + let newlineIndex = buffer.indexOf("\n"); + + while (newlineIndex >= 0) { + const rawEvent = buffer.slice(0, newlineIndex).trim(); + buffer = buffer.slice(newlineIndex + 1); + + if (rawEvent) { + applyStreamEvent(messageId, JSON.parse(rawEvent) as ChatStreamEvent); + } + + newlineIndex = buffer.indexOf("\n"); + } + } + + const trailing = buffer.trim(); + if (trailing) { + applyStreamEvent(messageId, JSON.parse(trailing) as ChatStreamEvent); + } + } + + async function handleSubmit(event: FormEvent) { + event.preventDefault(); + if (!prompt.trim()) return; + + const currentPrompt = prompt.trim(); + setPrompt(""); + setSending(true); + const assistantMessageId = generateMessageId(); + + setMessages((prev) => [ + ...prev, + { id: generateMessageId(), role: "user", content: currentPrompt, state: "complete" }, + { id: assistantMessageId, role: "assistant", content: "", state: "streaming" }, + ]); + + try { + const response = await fetch("/api/chat", { + method: "POST", + headers: { "Content-Type": "application/json", Accept: "application/x-ndjson" }, + body: JSON.stringify({ message: currentPrompt, threadId, stream: true }), + }); + + if (!response.ok) throw new Error("Copilot response failed"); + + const reader = response.body?.getReader(); + if (!reader) throw new Error("Streaming response unavailable"); + + await readStreamInto(assistantMessageId, reader); + } catch { + setMessages((prev) => + prev.map((message) => + message.id === assistantMessageId + ? { ...message, state: "error", content: "The copilot could not answer that right now." } + : message, + ), + ); + } finally { + setSending(false); + } + } + + return { messages, prompt, setPrompt, chatLogRef, sending, handleSubmit }; +} diff --git a/samples/mastra-nextjs-postgres-redis/app/src/app/hooks/use-dashboard.ts b/samples/mastra-nextjs-postgres-redis/app/src/app/hooks/use-dashboard.ts new file mode 100644 index 00000000..44de7ded --- /dev/null +++ b/samples/mastra-nextjs-postgres-redis/app/src/app/hooks/use-dashboard.ts @@ -0,0 +1,96 @@ +/** + * Dashboard state hook. Connects to the SSE stream at /api/dashboard/stream + * for real-time updates on item counts, seed-run progress, and queue depth. + * Falls back to polling if the SSE connection drops. Items (tasks/events) + * are refreshed whenever the seed-run status changes. + */ + +"use client"; + +import { useEffect, useRef, useState } from "react"; + +import type { DashboardResponse, Item } from "@/app/types"; + +async function fetchItems() { + const response = await fetch("/api/items", { cache: "no-store" }); + if (!response.ok) return null; + return (await response.json()) as { tasks: Item[]; events: Item[] }; +} + +async function fetchDashboard() { + const response = await fetch("/api/dashboard", { cache: "no-store" }); + if (!response.ok) return null; + return (await response.json()) as DashboardResponse; +} + +export function useDashboard() { + const [dashboard, setDashboard] = useState(null); + const [tasks, setTasks] = useState([]); + const [events, setEvents] = useState([]); + const [seeding, setSeeding] = useState(false); + const lastRunStatusRef = useRef(null); + + async function loadItems() { + const data = await fetchItems(); + if (data) { + setTasks(data.tasks); + setEvents(data.events); + } + } + + useEffect(() => { + void loadItems().catch(() => {}); + + const eventSource = new EventSource("/api/dashboard/stream"); + let fallbackInterval: ReturnType | null = null; + + eventSource.onmessage = (event) => { + const data = JSON.parse(event.data) as DashboardResponse; + setDashboard(data); + + const currentStatus = data.latestRun?.status ?? null; + const previousStatus = lastRunStatusRef.current; + lastRunStatusRef.current = currentStatus; + + if ( + currentStatus !== previousStatus || + currentStatus === "running" || + currentStatus === "queued" + ) { + void loadItems().catch(() => {}); + } + }; + + eventSource.onerror = () => { + eventSource.close(); + if (!fallbackInterval) { + fallbackInterval = setInterval(() => { + void fetchDashboard() + .then((data) => { if (data) setDashboard(data); }) + .catch(() => {}); + void loadItems().catch(() => {}); + }, 3000); + } + }; + + return () => { + eventSource.close(); + if (fallbackInterval) clearInterval(fallbackInterval); + }; + }, []); + + async function handleSeed() { + setSeeding(true); + try { + const response = await fetch("/api/items/seed", { method: "POST" }); + if (!response.ok) { + throw new Error("Failed to enqueue sample item generation"); + } + await loadItems(); + } finally { + setSeeding(false); + } + } + + return { dashboard, tasks, events, seeding, handleSeed }; +} diff --git a/samples/mastra-nextjs-postgres-redis/app/src/app/icon.svg b/samples/mastra-nextjs-postgres-redis/app/src/app/icon.svg new file mode 100644 index 00000000..9cb44fae --- /dev/null +++ b/samples/mastra-nextjs-postgres-redis/app/src/app/icon.svg @@ -0,0 +1,5 @@ + + + + + diff --git a/samples/mastra-nextjs-postgres-redis/app/src/app/layout.tsx b/samples/mastra-nextjs-postgres-redis/app/src/app/layout.tsx new file mode 100644 index 00000000..fa571bd7 --- /dev/null +++ b/samples/mastra-nextjs-postgres-redis/app/src/app/layout.tsx @@ -0,0 +1,17 @@ +import type { ReactNode } from "react"; + +import "./globals.css"; + +export const metadata = { + title: "Tasks and Events Demo", + description: + "A small Defang sample where background jobs classify and embed tasks and events, and a copilot answers questions using tools.", +}; + +export default function RootLayout({ children }: { children: ReactNode }) { + return ( + + {children} + + ); +} diff --git a/samples/mastra-nextjs-postgres-redis/app/src/app/page.tsx b/samples/mastra-nextjs-postgres-redis/app/src/app/page.tsx new file mode 100644 index 00000000..9faff88f --- /dev/null +++ b/samples/mastra-nextjs-postgres-redis/app/src/app/page.tsx @@ -0,0 +1,167 @@ +"use client"; + +import { ChatMessageView } from "@/app/components/chat-message"; +import { ItemCard } from "@/app/components/item-card"; +import { formatTimestamp } from "@/app/formatting"; +import { useChat } from "@/app/hooks/use-chat"; +import { useDashboard } from "@/app/hooks/use-dashboard"; + +const starterPrompts = [ + "What should I look at first?", + "Summarize the current tasks and events.", + "Which items seem related?", + "What patterns are you seeing?", +]; + +export default function Page() { + const { dashboard, tasks, events, seeding, handleSeed } = useDashboard(); + const { messages, prompt, setPrompt, chatLogRef, sending, handleSubmit } = useChat(); + + const latestRun = dashboard?.latestRun ?? null; + const hasConversation = messages.length > 0; + + const seedRunStatus = latestRun + ? latestRun.status === "running" || latestRun.status === "queued" + ? `Processing ${latestRun.processedItems}/${latestRun.totalItems}` + : latestRun.status === "completed" + ? `Ready ยท ${latestRun.totalItems} items` + : "Run failed" + : "No items yet"; + + const taskCount = dashboard?.counts.taskCount ?? 0; + const eventCount = dashboard?.counts.eventCount ?? 0; + const classifiedCount = dashboard?.counts.classifiedCount ?? 0; + const queueCount = (dashboard?.queue.active ?? 0) + (dashboard?.queue.waiting ?? 0); + + return ( +
+