harshalmore31
4 weeks ago
parent
cacc277013
commit
c532c3c909
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# Cloudflare Workers Deployment with Swarms API
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# Cloudflare Workers with Swarms: Automated Cron Job Agents
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Deploy intelligent agent swarms on Cloudflare's edge network for maximum performance, global availability, and automatic scaling. This guide covers deploying both API endpoints and scheduled cron job agents using the Swarms API.
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Deploy scheduled AI agents on Cloudflare's global edge network for automated stock analysis and healthcare monitoring. This guide focuses on cron job agents that run automatically at scheduled intervals.
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## Overview
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## Overview
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Cloudflare Workers provide a serverless execution environment that runs on Cloudflare's global network, offering:
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Cloudflare Workers with cron triggers enable automated agent execution for:
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- **Stock Market Analysis**: Daily market reports and trading insights
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- **Healthcare Monitoring**: Patient data analysis and alerts
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- **Automated Reporting**: Scheduled business intelligence
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- **Global Deployment**: Edge computing with zero cold starts
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- **Edge Computing**: Deploy agents close to users worldwide
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## Quick Setup
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- **Automatic Scaling**: Handle traffic spikes without configuration
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- **Zero Cold Starts**: Instant response times
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- **Cost Effective**: Pay only for what you use
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- **Built-in Cron Jobs**: Schedule automated agent tasks
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Perfect for deploying AI agents that need global reach, low latency, and scheduled execution capabilities.
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### 1. Create Worker Project
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## Prerequisites
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!!! info "Requirements"
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- Cloudflare account (free tier available)
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- Wrangler CLI installed (`npm install -g wrangler`)
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- Swarms API key from [Swarms Platform](https://swarms.world/platform/api-keys)
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- Node.js 16+ for local development
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## Quick Start
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### 1. Project Setup
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```bash
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```bash
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# Create new Cloudflare Worker
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npx create-cloudflare stock-agent worker
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npx create-cloudflare my-swarms-worker worker
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cd stock-agent
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# Navigate to project
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cd my-swarms-worker
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# Install dependencies
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npm install
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```
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```
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### 2. Configure Environment Variables
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### 2. Configure Cron Schedule
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Add your Swarms API key to `wrangler.toml`:
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Edit `wrangler.toml`:
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```toml
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```toml
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name = "my-swarms-worker"
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name = "stock-analysis-agent"
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main = "src/index.js"
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main = "src/index.js"
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compatibility_date = "2024-01-01"
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compatibility_date = "2024-01-01"
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[env.production.vars]
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[env.production.vars]
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SWARMS_API_KEY = "your-api-key-here"
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SWARMS_API_KEY = "your-api-key-here"
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SLACK_WEBHOOK_URL = "optional-slack-webhook"
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[env.production]
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# Stock market analysis - after market close
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# For scheduled agents
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[[env.production.triggers.crons]]
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[[env.production.triggers.crons]]
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cron = "0 9 * * MON-FRI" # Weekdays at 9 AM UTC
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cron = "0 21 * * MON-FRI" # 9 PM UTC (4 PM EST)
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# Healthcare monitoring - every 4 hours
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[[env.production.triggers.crons]]
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cron = "0 */4 * * *"
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```
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```
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### 3. Basic Agent Worker
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## Stock Market Analysis Agent
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=== "JavaScript"
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Automated daily stock analysis after market close:
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```javascript
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```javascript
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export default {
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export default {
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async fetch(request, env, ctx) {
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// Cron job handler - runs automatically
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// Handle CORS preflight
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async scheduled(event, env, ctx) {
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if (request.method === 'OPTIONS') {
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ctx.waitUntil(handleStockAnalysis(event, env));
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return handleCORS();
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}
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}
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};
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async function handleStockAnalysis(event, env) {
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try {
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try {
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const { pathname } = new URL(request.url);
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// Step 1: Fetch real market data from multiple sources
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const marketData = await fetchMarketData(env);
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if (pathname === '/api/agent' && request.method === 'POST') {
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// Step 2: Get market news
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return await handleAgentRequest(request, env);
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const marketNews = await fetchMarketNews(env);
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}
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if (pathname === '/api/health' && request.method === 'GET') {
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// Step 3: Send real data to Swarms agents for analysis
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return new Response(JSON.stringify({
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const swarmConfig = {
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status: 'healthy',
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name: "Real-Time Stock Analysis",
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service: 'Swarms Agent API',
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description: "Live market data analysis with AI agents",
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version: '1.0.0'
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agents: [
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}), {
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{
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status: 200,
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agent_name: "Technical Analyst",
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headers: {
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system_prompt: `You are a professional technical analyst. Analyze the provided real market data:
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'Content-Type': 'application/json',
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- Calculate key technical indicators (RSI, MACD, Moving Averages)
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...getCORSHeaders()
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- Identify support and resistance levels
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}
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- Determine market trends and momentum
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});
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- Provide trading signals and price targets
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}
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Format your analysis professionally with specific price levels.`,
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model_name: "gpt-4o-mini",
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return new Response('Not Found', { status: 404 });
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max_tokens: 3000,
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} catch (error) {
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temperature: 0.2
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console.error('Worker error:', error);
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return new Response(JSON.stringify({
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error: error.message
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}), {
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status: 500,
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headers: {
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'Content-Type': 'application/json',
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...getCORSHeaders()
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}
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});
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}
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},
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},
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{
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// Scheduled event handler for cron jobs
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agent_name: "Fundamental Analyst",
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async scheduled(event, env, ctx) {
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system_prompt: `You are a fundamental market analyst. Using the provided market news and data:
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ctx.waitUntil(handleScheduledEvent(event, env));
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- Analyze earnings impact and company fundamentals
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- Evaluate economic indicators and Fed policy effects
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- Assess sector rotation and market sentiment
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- Identify value opportunities and risks
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Provide investment recommendations with risk assessment.`,
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model_name: "gpt-4o-mini",
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max_tokens: 3000,
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temperature: 0.3
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}
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}
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],
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swarm_type: "ConcurrentWorkflow",
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task: `Analyze the following real market data and news:
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MARKET DATA:
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${JSON.stringify(marketData, null, 2)}
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MARKET NEWS:
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${marketNews}
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Provide comprehensive analysis with:
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1. Technical analysis with key levels
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2. Fundamental analysis with catalysts
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3. Trading recommendations
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4. Risk assessment
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5. Tomorrow's key levels to watch`,
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max_loops: 1
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};
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};
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async function handleAgentRequest(request, env) {
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const response = await fetch('https://api.swarms.world/v1/swarm/completions', {
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const requestData = await request.json();
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const agentConfig = {
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agent_config: {
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agent_name: requestData.agent_name || "CloudflareAgent",
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description: requestData.description || "Agent running on Cloudflare Workers",
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system_prompt: requestData.system_prompt || "You are a helpful AI assistant.",
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model_name: requestData.model_name || "gpt-4o-mini",
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max_tokens: requestData.max_tokens || 2000,
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temperature: requestData.temperature || 0.7
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},
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task: requestData.task
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};
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const response = await fetch('https://api.swarms.world/v1/agent/completions', {
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method: 'POST',
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method: 'POST',
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headers: {
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headers: {
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'x-api-key': env.SWARMS_API_KEY,
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'x-api-key': env.SWARMS_API_KEY,
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'Content-Type': 'application/json'
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'Content-Type': 'application/json'
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},
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},
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body: JSON.stringify(agentConfig)
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body: JSON.stringify(swarmConfig)
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});
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});
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const result = await response.json();
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const result = await response.json();
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return new Response(JSON.stringify(result), {
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if (response.ok) {
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status: response.status,
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console.log('✅ Real-time stock analysis completed');
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headers: {
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console.log('💰 Cost:', result.metadata?.billing_info?.total_cost);
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'Content-Type': 'application/json',
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...getCORSHeaders()
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}
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});
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}
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function getCORSHeaders() {
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return {
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'Access-Control-Allow-Origin': '*',
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'Access-Control-Allow-Methods': 'GET, POST, OPTIONS',
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'Access-Control-Allow-Headers': 'Content-Type, Authorization',
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};
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}
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function handleCORS() {
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return new Response(null, {
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status: 200,
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headers: getCORSHeaders()
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});
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}
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```
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=== "TypeScript"
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```typescript
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interface AgentRequest {
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agent_name?: string;
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description?: string;
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system_prompt?: string;
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model_name?: string;
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max_tokens?: number;
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temperature?: number;
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task: string;
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}
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interface AgentConfig {
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// Send email directly
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agent_config: {
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await sendEmailReport(env, result.output, marketData);
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agent_name: string;
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description: string;
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system_prompt: string;
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model_name: string;
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max_tokens: number;
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temperature: number;
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};
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task: string;
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}
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}
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} catch (error) {
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interface Env {
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console.error('❌ Real-time stock analysis failed:', error);
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SWARMS_API_KEY: string;
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}
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}
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export interface ScheduledEvent {
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scheduledTime: number;
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cron: string;
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}
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}
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export default {
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// Fetch real market data from Alpha Vantage API
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async fetch(request: Request, env: Env, ctx: ExecutionContext): Promise<Response> {
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async function fetchMarketData(env) {
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if (request.method === 'OPTIONS') {
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const symbols = ['SPY', 'QQQ', 'AAPL', 'MSFT', 'TSLA', 'NVDA'];
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return handleCORS();
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const marketData = {};
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}
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for (const symbol of symbols) {
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try {
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try {
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const { pathname } = new URL(request.url);
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// Get daily prices
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const priceResponse = await fetch(
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if (pathname === '/api/agent' && request.method === 'POST') {
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`https://www.alphavantage.co/query?function=TIME_SERIES_DAILY&symbol=${symbol}&apikey=${env.STOCK_API_KEY}`
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return await handleAgentRequest(request, env);
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);
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const priceData = await priceResponse.json();
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// Get technical indicators (RSI)
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const rsiResponse = await fetch(
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`https://www.alphavantage.co/query?function=RSI&symbol=${symbol}&interval=daily&time_period=14&series_type=close&apikey=${env.STOCK_API_KEY}`
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);
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const rsiData = await rsiResponse.json();
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if (priceData['Time Series (Daily)'] && rsiData['Technical Analysis: RSI']) {
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const latestDate = Object.keys(priceData['Time Series (Daily)'])[0];
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const latestPrice = priceData['Time Series (Daily)'][latestDate];
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const latestRSI = Object.values(rsiData['Technical Analysis: RSI'])[0];
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marketData[symbol] = {
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price: parseFloat(latestPrice['4. close']),
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open: parseFloat(latestPrice['1. open']),
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high: parseFloat(latestPrice['2. high']),
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low: parseFloat(latestPrice['3. low']),
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volume: parseInt(latestPrice['5. volume']),
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change: parseFloat(latestPrice['4. close']) - parseFloat(latestPrice['1. open']),
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change_percent: ((parseFloat(latestPrice['4. close']) - parseFloat(latestPrice['1. open'])) / parseFloat(latestPrice['1. open']) * 100).toFixed(2),
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rsi: parseFloat(latestRSI?.RSI || 50),
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date: latestDate
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};
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}
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}
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if (pathname === '/api/health' && request.method === 'GET') {
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// Rate limiting - Alpha Vantage allows 5 requests per minute on free tier
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return new Response(JSON.stringify({
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await new Promise(resolve => setTimeout(resolve, 12000));
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status: 'healthy',
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service: 'Swarms Agent API',
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version: '1.0.0'
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}), {
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status: 200,
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headers: {
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'Content-Type': 'application/json',
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...getCORSHeaders()
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}
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});
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}
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return new Response('Not Found', { status: 404 });
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} catch (error) {
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} catch (error) {
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console.error('Worker error:', error);
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console.error(`Error fetching data for ${symbol}:`, error);
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return new Response(JSON.stringify({
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marketData[symbol] = { error: 'Failed to fetch data' };
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error: (error as Error).message
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}), {
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status: 500,
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headers: {
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'Content-Type': 'application/json',
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...getCORSHeaders()
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}
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}
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});
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}
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}
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},
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async scheduled(event: ScheduledEvent, env: Env, ctx: ExecutionContext): Promise<void> {
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return marketData;
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ctx.waitUntil(handleScheduledEvent(event, env));
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}
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}
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};
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async function handleAgentRequest(request: Request, env: Env): Promise<Response> {
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// Fetch market news from Financial Modeling Prep (free tier available)
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const requestData: AgentRequest = await request.json();
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async function fetchMarketNews(env) {
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try {
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const agentConfig: AgentConfig = {
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const newsResponse = await fetch(
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agent_config: {
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`https://financialmodelingprep.com/api/v3/stock_news?tickers=AAPL,MSFT,TSLA,NVDA&limit=10&apikey=${env.FMP_API_KEY || 'demo'}`
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agent_name: requestData.agent_name || "CloudflareAgent",
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);
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description: requestData.description || "Agent running on Cloudflare Workers",
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const newsData = await newsResponse.json();
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system_prompt: requestData.system_prompt || "You are a helpful AI assistant.",
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model_name: requestData.model_name || "gpt-4o-mini",
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if (Array.isArray(newsData)) {
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max_tokens: requestData.max_tokens || 2000,
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return newsData.slice(0, 5).map(article => ({
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temperature: requestData.temperature || 0.7
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title: article.title,
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},
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text: article.text?.substring(0, 300) + '...',
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task: requestData.task
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publishedDate: article.publishedDate,
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};
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symbol: article.symbol,
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url: article.url
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}));
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}
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} catch (error) {
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console.error('Error fetching news:', error);
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}
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return "Market news temporarily unavailable";
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}
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// Send email report using Mailgun API
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async function sendEmailReport(env, analysis, marketData) {
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// Extract key market movers for email subject
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const movers = Object.entries(marketData)
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.filter(([symbol, data]) => data.change_percent && Math.abs(parseFloat(data.change_percent)) > 2)
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.map(([symbol, data]) => `${symbol}: ${data.change_percent}%`)
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.join(', ');
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const emailSubject = `📊 Daily Stock Analysis - ${new Date().toLocaleDateString()}`;
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const emailBody = `
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<h2>Daily Market Analysis Report</h2>
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<p><strong>Date:</strong> ${new Date().toLocaleString()}</p>
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<p><strong>Key Market Movers:</strong> ${movers || 'Market stable'}</p>
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<h3>AI Agent Analysis:</h3>
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<div style="background-color: #f5f5f5; padding: 20px; border-radius: 5px;">
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<pre style="white-space: pre-wrap;">${analysis}</pre>
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</div>
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<h3>Market Data Summary:</h3>
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<table border="1" style="border-collapse: collapse; width: 100%;">
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<tr style="background-color: #e0e0e0;">
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||||||
|
<th>Symbol</th><th>Price</th><th>Change %</th><th>Volume</th><th>RSI</th>
|
||||||
|
</tr>
|
||||||
|
${Object.entries(marketData).map(([symbol, data]) => `
|
||||||
|
<tr>
|
||||||
|
<td>${symbol}</td>
|
||||||
|
<td>$${data.price?.toFixed(2) || 'N/A'}</td>
|
||||||
|
<td style="color: ${parseFloat(data.change_percent) >= 0 ? 'green' : 'red'}">
|
||||||
|
${data.change_percent}%
|
||||||
|
</td>
|
||||||
|
<td>${data.volume?.toLocaleString() || 'N/A'}</td>
|
||||||
|
<td>${data.rsi?.toFixed(1) || 'N/A'}</td>
|
||||||
|
</tr>
|
||||||
|
`).join('')}
|
||||||
|
</table>
|
||||||
|
|
||||||
|
<p><em>Generated by Swarms AI Agent System</em></p>
|
||||||
|
`;
|
||||||
|
|
||||||
|
// Send via Mailgun
|
||||||
|
const formData = new FormData();
|
||||||
|
formData.append('from', `Stock Analysis Agent <noreply@${env.MAILGUN_DOMAIN}>`);
|
||||||
|
formData.append('to', env.RECIPIENT_EMAIL);
|
||||||
|
formData.append('subject', emailSubject);
|
||||||
|
formData.append('html', emailBody);
|
||||||
|
|
||||||
const response = await fetch('https://api.swarms.world/v1/agent/completions', {
|
try {
|
||||||
|
const response = await fetch(`https://api.mailgun.net/v3/${env.MAILGUN_DOMAIN}/messages`, {
|
||||||
method: 'POST',
|
method: 'POST',
|
||||||
headers: {
|
headers: {
|
||||||
'x-api-key': env.SWARMS_API_KEY,
|
'Authorization': `Basic ${btoa(`api:${env.MAILGUN_API_KEY}`)}`
|
||||||
'Content-Type': 'application/json'
|
|
||||||
},
|
},
|
||||||
body: JSON.stringify(agentConfig)
|
body: formData
|
||||||
});
|
});
|
||||||
|
|
||||||
const result = await response.json();
|
if (response.ok) {
|
||||||
|
console.log('✅ Email report sent successfully');
|
||||||
return new Response(JSON.stringify(result), {
|
} else {
|
||||||
status: response.status,
|
console.error('❌ Failed to send email:', await response.text());
|
||||||
headers: {
|
|
||||||
'Content-Type': 'application/json',
|
|
||||||
...getCORSHeaders()
|
|
||||||
}
|
}
|
||||||
});
|
} catch (error) {
|
||||||
|
console.error('❌ Email sending error:', error);
|
||||||
}
|
}
|
||||||
|
|
||||||
function getCORSHeaders(): Record<string, string> {
|
|
||||||
return {
|
|
||||||
'Access-Control-Allow-Origin': '*',
|
|
||||||
'Access-Control-Allow-Methods': 'GET, POST, OPTIONS',
|
|
||||||
'Access-Control-Allow-Headers': 'Content-Type, Authorization',
|
|
||||||
};
|
|
||||||
}
|
}
|
||||||
|
|
||||||
function handleCORS(): Response {
|
async function sendSlackNotification(webhookUrl, analysis) {
|
||||||
return new Response(null, {
|
await fetch(webhookUrl, {
|
||||||
status: 200,
|
method: 'POST',
|
||||||
headers: getCORSHeaders()
|
headers: { 'Content-Type': 'application/json' },
|
||||||
|
body: JSON.stringify({
|
||||||
|
text: "📈 Daily Stock Market Analysis",
|
||||||
|
blocks: [{
|
||||||
|
type: "section",
|
||||||
|
text: {
|
||||||
|
type: "mrkdwn",
|
||||||
|
text: `*Market Analysis Complete*\n\`\`\`${analysis.substring(0, 500)}...\`\`\``
|
||||||
|
}
|
||||||
|
}]
|
||||||
|
})
|
||||||
});
|
});
|
||||||
}
|
}
|
||||||
```
|
```
|
||||||
|
|
||||||
### 4. Deploy Your Worker
|
## Healthcare Monitoring Agent
|
||||||
|
|
||||||
```bash
|
|
||||||
# Deploy to Cloudflare
|
|
||||||
wrangler deploy
|
|
||||||
|
|
||||||
# View logs
|
|
||||||
wrangler tail
|
|
||||||
```
|
|
||||||
|
|
||||||
## Scheduled Cron Job Agents
|
|
||||||
|
|
||||||
Cloudflare Workers support scheduled events (cron jobs) that can trigger agent tasks automatically. This is perfect for periodic analysis, monitoring, reporting, and automated decision-making.
|
Automated patient monitoring and health alerts:
|
||||||
|
|
||||||
### Stock Market Analysis Agent
|
|
||||||
|
|
||||||
Deploy a cron job agent that analyzes stock market trends and generates daily reports:
|
|
||||||
|
|
||||||
=== "JavaScript"
|
|
||||||
|
|
||||||
```javascript
|
```javascript
|
||||||
// wrangler.toml configuration for stock market agent
|
export default {
|
||||||
/*
|
async scheduled(event, env, ctx) {
|
||||||
[[env.production.triggers.crons]]
|
// Determine which agent to run based on cron schedule
|
||||||
cron = "0 16 * * MON-FRI" # 4 PM UTC (after US market close)
|
const hour = new Date().getHours();
|
||||||
*/
|
|
||||||
|
|
||||||
async function handleScheduledEvent(event, env) {
|
if (hour % 4 === 0) {
|
||||||
console.log('Stock market analysis triggered at:', new Date(event.scheduledTime));
|
// Every 4 hours - patient monitoring
|
||||||
|
ctx.waitUntil(handlePatientMonitoring(event, env));
|
||||||
|
}
|
||||||
|
}
|
||||||
|
};
|
||||||
|
|
||||||
try {
|
async function handlePatientMonitoring(event, env) {
|
||||||
// Stock analysis swarm configuration
|
const healthcareSwarm = {
|
||||||
const swarmConfig = {
|
name: "Patient Monitoring System",
|
||||||
name: "Stock Market Analysis Swarm",
|
description: "Automated patient health analysis and alerting",
|
||||||
description: "Daily stock market analysis and trading insights",
|
|
||||||
agents: [
|
agents: [
|
||||||
{
|
{
|
||||||
agent_name: "Market Data Analyst",
|
agent_name: "Vital Signs Analyst",
|
||||||
description: "Analyzes market trends and price movements",
|
system_prompt: `Analyze patient vital signs data for abnormalities:
|
||||||
system_prompt: `You are an expert financial market analyst specializing in equity markets.
|
- Heart rate patterns and irregularities
|
||||||
Analyze market trends, volume patterns, and price movements.
|
- Blood pressure trends
|
||||||
Provide technical analysis insights and identify key support/resistance levels.
|
- Oxygen saturation levels
|
||||||
Focus on major indices (S&P 500, NASDAQ, DOW) and sector performance.`,
|
- Temperature variations
|
||||||
model_name: "gpt-4o",
|
Flag critical conditions requiring immediate attention.`,
|
||||||
max_tokens: 3000,
|
model_name: "gpt-4o-mini",
|
||||||
temperature: 0.3,
|
max_tokens: 2000,
|
||||||
role: "worker"
|
temperature: 0.1
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
agent_name: "Economic News Analyzer",
|
agent_name: "Risk Assessment Specialist",
|
||||||
description: "Analyzes economic news impact on markets",
|
system_prompt: `Evaluate patient risk factors and health trends:
|
||||||
system_prompt: `You are a financial news analyst with expertise in market sentiment analysis.
|
- Medication interactions
|
||||||
Analyze recent economic news, earnings reports, and market-moving events.
|
- Chronic condition management
|
||||||
Assess their potential impact on stock prices and market sentiment.
|
- Recovery progress assessment
|
||||||
Identify key catalysts and risk factors for the next trading day.`,
|
- Early warning signs detection
|
||||||
model_name: "gpt-4o",
|
Prioritize patients needing urgent care.`,
|
||||||
max_tokens: 3000,
|
model_name: "gpt-4o-mini",
|
||||||
temperature: 0.3,
|
max_tokens: 2000,
|
||||||
role: "worker"
|
temperature: 0.2
|
||||||
},
|
|
||||||
{
|
|
||||||
agent_name: "Trading Strategy Advisor",
|
|
||||||
description: "Provides trading recommendations and risk assessment",
|
|
||||||
system_prompt: `You are a quantitative trading strategist with expertise in risk management.
|
|
||||||
Based on technical analysis and market sentiment, provide actionable trading insights.
|
|
||||||
Include risk assessment, position sizing recommendations, and key levels to watch.
|
|
||||||
Focus on risk-adjusted returns and downside protection strategies.`,
|
|
||||||
model_name: "gpt-4o",
|
|
||||||
max_tokens: 3000,
|
|
||||||
temperature: 0.4,
|
|
||||||
role: "worker"
|
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
swarm_type: "SequentialWorkflow",
|
swarm_type: "ConcurrentWorkflow",
|
||||||
max_loops: 1,
|
task: "Analyze current patient monitoring data and generate health status alerts for medical staff.",
|
||||||
task: `Analyze today's stock market performance and provide insights for tomorrow's trading session.
|
max_loops: 1
|
||||||
Include: 1) Market overview and key movers 2) Technical analysis of major indices
|
|
||||||
3) Economic news impact assessment 4) Trading opportunities and risks
|
|
||||||
5) Key levels to watch tomorrow. Format as a professional daily market report.`,
|
|
||||||
service_tier: "standard"
|
|
||||||
};
|
};
|
||||||
|
|
||||||
// Execute the swarm
|
try {
|
||||||
const response = await fetch('https://api.swarms.world/v1/swarm/completions', {
|
const response = await fetch('https://api.swarms.world/v1/swarm/completions', {
|
||||||
method: 'POST',
|
method: 'POST',
|
||||||
headers: {
|
headers: {
|
||||||
'x-api-key': env.SWARMS_API_KEY,
|
'x-api-key': env.SWARMS_API_KEY,
|
||||||
'Content-Type': 'application/json'
|
'Content-Type': 'application/json'
|
||||||
},
|
},
|
||||||
body: JSON.stringify(swarmConfig)
|
body: JSON.stringify(healthcareSwarm)
|
||||||
});
|
});
|
||||||
|
|
||||||
const result = await response.json();
|
const result = await response.json();
|
||||||
|
|
||||||
if (response.ok) {
|
if (response.ok) {
|
||||||
console.log('Stock analysis completed successfully');
|
console.log('🏥 Health monitoring completed');
|
||||||
console.log('Cost:', result.metadata?.billing_info?.total_cost);
|
|
||||||
|
|
||||||
// Store results in KV storage for retrieval
|
|
||||||
if (env.STOCK_REPORTS) {
|
|
||||||
const reportKey = `stock-report-${new Date().toISOString().split('T')[0]}`;
|
|
||||||
await env.STOCK_REPORTS.put(reportKey, JSON.stringify({
|
|
||||||
timestamp: new Date().toISOString(),
|
|
||||||
analysis: result.output,
|
|
||||||
cost: result.metadata?.billing_info?.total_cost
|
|
||||||
}));
|
|
||||||
}
|
|
||||||
|
|
||||||
// Optional: Send to webhook, email, or notification service
|
|
||||||
await sendNotification(env, result.output);
|
|
||||||
|
|
||||||
} else {
|
// Send email alerts for all monitoring results
|
||||||
console.error('Stock analysis failed:', result);
|
await sendHealthEmailAlert(env, result.output);
|
||||||
}
|
}
|
||||||
|
|
||||||
} catch (error) {
|
} catch (error) {
|
||||||
console.error('Error in scheduled stock analysis:', error);
|
console.error('❌ Health monitoring failed:', error);
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
async function sendNotification(env, analysis) {
|
// Send healthcare email alerts
|
||||||
// Example: Send to Slack webhook
|
async function sendHealthEmailAlert(env, analysis) {
|
||||||
if (env.SLACK_WEBHOOK_URL) {
|
const severity = extractSeverity(analysis);
|
||||||
try {
|
const isUrgent = severity === 'critical' || severity === 'urgent';
|
||||||
await fetch(env.SLACK_WEBHOOK_URL, {
|
|
||||||
method: 'POST',
|
|
||||||
headers: { 'Content-Type': 'application/json' },
|
|
||||||
body: JSON.stringify({
|
|
||||||
text: "📈 Daily Stock Market Analysis Ready",
|
|
||||||
attachments: [{
|
|
||||||
color: "good",
|
|
||||||
text: typeof analysis === 'string' ? analysis.substring(0, 500) + '...' : 'Analysis completed',
|
|
||||||
footer: "Swarms Stock Analysis Agent"
|
|
||||||
}]
|
|
||||||
})
|
|
||||||
});
|
|
||||||
} catch (error) {
|
|
||||||
console.error('Failed to send Slack notification:', error);
|
|
||||||
}
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
// API endpoint to retrieve stock reports
|
const emailSubject = `${isUrgent ? '🚨 URGENT' : '🏥'} Health Monitoring Alert - ${new Date().toLocaleString()}`;
|
||||||
async function getStockReport(request, env) {
|
const emailBody = `
|
||||||
const url = new URL(request.url);
|
<h2 style="color: ${isUrgent ? 'red' : 'blue'};">Patient Monitoring Report</h2>
|
||||||
const date = url.searchParams.get('date') || new Date().toISOString().split('T')[0];
|
<p><strong>Timestamp:</strong> ${new Date().toLocaleString()}</p>
|
||||||
const reportKey = `stock-report-${date}`;
|
<p><strong>Severity Level:</strong> <span style="color: ${getSeverityColor(severity)}; font-weight: bold;">${severity.toUpperCase()}</span></p>
|
||||||
|
|
||||||
if (env.STOCK_REPORTS) {
|
|
||||||
const report = await env.STOCK_REPORTS.get(reportKey);
|
|
||||||
if (report) {
|
|
||||||
return new Response(report, {
|
|
||||||
headers: { 'Content-Type': 'application/json' }
|
|
||||||
});
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
return new Response(JSON.stringify({ error: 'Report not found' }), {
|
<h3>AI Health Analysis:</h3>
|
||||||
status: 404,
|
<div style="background-color: ${isUrgent ? '#ffe6e6' : '#f0f8ff'}; padding: 20px; border-radius: 5px; border-left: 5px solid ${isUrgent ? 'red' : 'blue'};">
|
||||||
headers: { 'Content-Type': 'application/json' }
|
<pre style="white-space: pre-wrap; font-family: Arial, sans-serif;">${analysis}</pre>
|
||||||
});
|
</div>
|
||||||
}
|
|
||||||
```
|
|
||||||
|
|
||||||
=== "TypeScript"
|
${isUrgent ? '<p style="color: red; font-weight: bold;">⚠️ IMMEDIATE ATTENTION REQUIRED</p>' : ''}
|
||||||
|
|
||||||
```typescript
|
<p><em>Generated by Swarms Healthcare Monitoring Agent</em></p>
|
||||||
interface StockAnalysisResult {
|
`;
|
||||||
timestamp: string;
|
|
||||||
analysis: any;
|
|
||||||
cost: number;
|
|
||||||
}
|
|
||||||
|
|
||||||
async function handleScheduledEvent(event: ScheduledEvent, env: Env): Promise<void> {
|
// Send email using Mailgun
|
||||||
console.log('Stock market analysis triggered at:', new Date(event.scheduledTime));
|
const formData = new FormData();
|
||||||
|
formData.append('from', `Healthcare Monitor <alerts@${env.MAILGUN_DOMAIN}>`);
|
||||||
|
formData.append('to', env.MEDICAL_TEAM_EMAIL);
|
||||||
|
formData.append('subject', emailSubject);
|
||||||
|
formData.append('html', emailBody);
|
||||||
|
|
||||||
try {
|
try {
|
||||||
const swarmConfig = {
|
const response = await fetch(`https://api.mailgun.net/v3/${env.MAILGUN_DOMAIN}/messages`, {
|
||||||
name: "Stock Market Analysis Swarm",
|
|
||||||
description: "Daily stock market analysis and trading insights",
|
|
||||||
agents: [
|
|
||||||
{
|
|
||||||
agent_name: "Market Data Analyst",
|
|
||||||
description: "Analyzes market trends and price movements",
|
|
||||||
system_prompt: `You are an expert financial market analyst specializing in equity markets.
|
|
||||||
Analyze market trends, volume patterns, and price movements.
|
|
||||||
Provide technical analysis insights and identify key support/resistance levels.
|
|
||||||
Focus on major indices (S&P 500, NASDAQ, DOW) and sector performance.`,
|
|
||||||
model_name: "gpt-4o",
|
|
||||||
max_tokens: 3000,
|
|
||||||
temperature: 0.3,
|
|
||||||
role: "worker"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
agent_name: "Economic News Analyzer",
|
|
||||||
description: "Analyzes economic news impact on markets",
|
|
||||||
system_prompt: `You are a financial news analyst with expertise in market sentiment analysis.
|
|
||||||
Analyze recent economic news, earnings reports, and market-moving events.
|
|
||||||
Assess their potential impact on stock prices and market sentiment.
|
|
||||||
Identify key catalysts and risk factors for the next trading day.`,
|
|
||||||
model_name: "gpt-4o",
|
|
||||||
max_tokens: 3000,
|
|
||||||
temperature: 0.3,
|
|
||||||
role: "worker"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
agent_name: "Trading Strategy Advisor",
|
|
||||||
description: "Provides trading recommendations and risk assessment",
|
|
||||||
system_prompt: `You are a quantitative trading strategist with expertise in risk management.
|
|
||||||
Based on technical analysis and market sentiment, provide actionable trading insights.
|
|
||||||
Include risk assessment, position sizing recommendations, and key levels to watch.
|
|
||||||
Focus on risk-adjusted returns and downside protection strategies.`,
|
|
||||||
model_name: "gpt-4o",
|
|
||||||
max_tokens: 3000,
|
|
||||||
temperature: 0.4,
|
|
||||||
role: "worker"
|
|
||||||
}
|
|
||||||
],
|
|
||||||
swarm_type: "SequentialWorkflow" as const,
|
|
||||||
max_loops: 1,
|
|
||||||
task: `Analyze today's stock market performance and provide insights for tomorrow's trading session.
|
|
||||||
Include: 1) Market overview and key movers 2) Technical analysis of major indices
|
|
||||||
3) Economic news impact assessment 4) Trading opportunities and risks
|
|
||||||
5) Key levels to watch tomorrow. Format as a professional daily market report.`,
|
|
||||||
service_tier: "standard"
|
|
||||||
};
|
|
||||||
|
|
||||||
const response = await fetch('https://api.swarms.world/v1/swarm/completions', {
|
|
||||||
method: 'POST',
|
method: 'POST',
|
||||||
headers: {
|
headers: {
|
||||||
'x-api-key': env.SWARMS_API_KEY,
|
'Authorization': `Basic ${btoa(`api:${env.MAILGUN_API_KEY}`)}`
|
||||||
'Content-Type': 'application/json'
|
|
||||||
},
|
},
|
||||||
body: JSON.stringify(swarmConfig)
|
body: formData
|
||||||
});
|
});
|
||||||
|
|
||||||
const result = await response.json();
|
|
||||||
|
|
||||||
if (response.ok) {
|
if (response.ok) {
|
||||||
console.log('Stock analysis completed successfully');
|
console.log('✅ Healthcare email alert sent successfully');
|
||||||
console.log('Cost:', result.metadata?.billing_info?.total_cost);
|
|
||||||
|
|
||||||
if (env.STOCK_REPORTS) {
|
|
||||||
const reportKey = `stock-report-${new Date().toISOString().split('T')[0]}`;
|
|
||||||
const reportData: StockAnalysisResult = {
|
|
||||||
timestamp: new Date().toISOString(),
|
|
||||||
analysis: result.output,
|
|
||||||
cost: result.metadata?.billing_info?.total_cost
|
|
||||||
};
|
|
||||||
|
|
||||||
await env.STOCK_REPORTS.put(reportKey, JSON.stringify(reportData));
|
|
||||||
}
|
|
||||||
|
|
||||||
await sendNotification(env, result.output);
|
|
||||||
|
|
||||||
} else {
|
} else {
|
||||||
console.error('Stock analysis failed:', result);
|
console.error('❌ Failed to send healthcare email:', await response.text());
|
||||||
}
|
}
|
||||||
|
|
||||||
} catch (error) {
|
} catch (error) {
|
||||||
console.error('Error in scheduled stock analysis:', error);
|
console.error('❌ Healthcare email error:', error);
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
async function sendNotification(env: Env, analysis: any): Promise<void> {
|
function extractSeverity(analysis) {
|
||||||
if (env.SLACK_WEBHOOK_URL) {
|
if (analysis.includes('CRITICAL')) return 'critical';
|
||||||
try {
|
if (analysis.includes('URGENT')) return 'urgent';
|
||||||
await fetch(env.SLACK_WEBHOOK_URL, {
|
if (analysis.includes('WARNING')) return 'warning';
|
||||||
method: 'POST',
|
return 'normal';
|
||||||
headers: { 'Content-Type': 'application/json' },
|
|
||||||
body: JSON.stringify({
|
|
||||||
text: "📈 Daily Stock Market Analysis Ready",
|
|
||||||
attachments: [{
|
|
||||||
color: "good",
|
|
||||||
text: typeof analysis === 'string' ? analysis.substring(0, 500) + '...' : 'Analysis completed',
|
|
||||||
footer: "Swarms Stock Analysis Agent"
|
|
||||||
}]
|
|
||||||
})
|
|
||||||
});
|
|
||||||
} catch (error) {
|
|
||||||
console.error('Failed to send Slack notification:', error);
|
|
||||||
}
|
}
|
||||||
|
|
||||||
|
function getSeverityColor(severity) {
|
||||||
|
switch(severity) {
|
||||||
|
case 'critical': return 'red';
|
||||||
|
case 'urgent': return 'orange';
|
||||||
|
case 'warning': return 'yellow';
|
||||||
|
default: return 'green';
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
```
|
```
|
||||||
|
|
||||||
|
## Deployment
|
||||||
|
|
||||||
|
```bash
|
||||||
|
# Deploy your cron job agents
|
||||||
|
wrangler deploy
|
||||||
|
|
||||||
|
# Monitor logs
|
||||||
|
wrangler tail
|
||||||
|
|
||||||
|
# Test cron trigger manually
|
||||||
|
wrangler triggers cron "0 21 * * MON-FRI"
|
||||||
|
```
|
||||||
|
|
||||||
|
## Cost Optimization
|
||||||
|
|
||||||
|
- Use `gpt-4o-mini` for cost-effective analysis
|
||||||
|
- Set appropriate `max_tokens` limits
|
||||||
|
- Configure cron schedules to avoid unnecessary runs
|
||||||
|
- Implement error handling to prevent API waste
|
||||||
|
|
||||||
|
## Environment Variables
|
||||||
|
|
||||||
|
Add to `wrangler.toml`:
|
||||||
|
|
||||||
|
```toml
|
||||||
|
[env.production.vars]
|
||||||
|
SWARMS_API_KEY = "your-swarms-api-key"
|
||||||
|
|
||||||
|
# Stock API Keys (get free keys from these providers)
|
||||||
|
STOCK_API_KEY = "your-alpha-vantage-key" # Free: https://www.alphavantage.co/support/#api-key
|
||||||
|
FMP_API_KEY = "your-fmp-key" # Free: https://financialmodelingprep.com/developer/docs
|
||||||
|
|
||||||
|
# Email Configuration (Mailgun)
|
||||||
|
MAILGUN_API_KEY = "your-mailgun-api-key" # Free: https://www.mailgun.com/
|
||||||
|
MAILGUN_DOMAIN = "your-domain.com"
|
||||||
|
RECIPIENT_EMAIL = "investor@yourcompany.com"
|
||||||
|
MEDICAL_TEAM_EMAIL = "medical-team@hospital.com"
|
||||||
|
```
|
||||||
|
|
||||||
|
## API Endpoints Used
|
||||||
|
|
||||||
|
### Stock Data APIs
|
||||||
|
- **Alpha Vantage**: Real-time stock prices, technical indicators (RSI, MACD)
|
||||||
|
- **Financial Modeling Prep**: Market news, earnings data, company fundamentals
|
||||||
|
- **Free Tier Limits**: Alpha Vantage (5 calls/min), FMP (250 calls/day)
|
||||||
|
|
||||||
|
### Real Market Data Flow
|
||||||
|
1. **Fetch Live Data**: Current prices, volume, technical indicators
|
||||||
|
2. **Get Market News**: Recent earnings, economic events, analyst reports
|
||||||
|
3. **AI Analysis**: Swarms agents analyze real data for actionable insights
|
||||||
|
4. **Email Reports**: Professional HTML emails with analysis and data tables
|
||||||
|
|
||||||
|
### Email Features
|
||||||
|
- **Stock Reports**: Daily market analysis with data tables and key movers
|
||||||
|
- **Healthcare Alerts**: Color-coded severity levels with immediate attention flags
|
||||||
|
- **HTML Formatting**: Professional email templates with styling
|
||||||
|
- **Mailgun Integration**: Reliable email delivery service
|
||||||
|
|||||||
Loading…
Reference in new issue