Upload files to "/"
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.env
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24
.env
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# Server port
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PORT=3000
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WEATHER_API_KEY=openweathermap_api_key
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ZIP_CODE=00000
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# MariaDB connection
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DB_CLIENT=mysql
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DB_HOST=0.0.0.0
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DB_PORT=3307
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DB_USER=joshbaney
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DB_PASSWORD=Ran0dal5!
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DB_NAME=heatmap
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#AWS s3
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S3_BUCKET_URL=https://s3.amazonaws.com/bwi2temps/trends
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# Slack & AWS creds
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SLACK_WEBHOOK_URL=https://hooks.slack.com/triggers/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
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AWS_ACCESS_KEY_ID=ihya/m4CONlywOPCNER22oZrbOeCdJLxp3R4H3oF
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AWS_SECRET_ACCESS_KEY=AKIAQ3EGSIYOYP4L37HH
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AWS_REGION=us-east-2
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S3_BUCKET_NAME=bwi2temps
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S3_BASE_URL=https://s3.amazonaws.com/bwi2temps/
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16
Dockerfile
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16
Dockerfile
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# Dockerfile
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FROM node:18-alpine
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# Create app directory
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WORKDIR /usr/src/app
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# Install dependencies
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COPY package*.json ./
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RUN npm install --production
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# Bundle app source
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COPY . .
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# Expose port and run
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EXPOSE 3000
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CMD ["node", "server.js"]
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docker-compose.yaml
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docker-compose.yaml
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version: '3.8'
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services:
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fuego-app:
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build:
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context: .
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dockerfile: Dockerfile
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extra_hosts:
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- "host.docker.internal:host-gateway"
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env_file:
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- .env
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ports:
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- "3000:3000"
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restart: unless-stopped
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18
package.json
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package.json
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{
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"name": "Amazon-Fuego",
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"version": "1.0.0",
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"main": "server.js",
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"scripts": {
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"start": "node server.js"
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},
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"dependencies": {
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"@aws-sdk/client-s3": "^3.300.0",
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"axios": "^1.4.0",
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"body-parser": "^1.20.2",
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"csv-stringify": "^6.0.8",
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"dotenv": "^16.3.1",
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"express": "^4.18.2",
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"mysql2": "^3.3.3",
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"sqlite3": "^5.1.6"
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}
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}
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30
s3.js
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s3.js
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// s3.js
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require('dotenv').config();
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const { S3Client, PutObjectCommand } = require('@aws-sdk/client-s3');
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const { stringify } = require('csv-stringify/sync');
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const s3 = new S3Client({
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region: process.env.AWS_REGION
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});
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/**
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* Uploads a CSV to s3://<bucket>/trends/<key>.csv with public-read ACL.
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* @param {string} key Date key like '20250423'
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* @param {Array<Object>} rows Array of DB rows to stringify into CSV
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* @returns {string} Public URL of the uploaded CSV
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*/
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async function uploadTrendsCsv(key, rows) {
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// Convert rows to CSV string (includes header)
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const csv = stringify(rows, { header: true });
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const cmd = new PutObjectCommand({
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Bucket: process.env.S3_BUCKET_NAME,
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Key: `trends/${key}.csv`,
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Body: csv,
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ContentType: 'text/csv',
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ACL: 'public-read'
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});
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await s3.send(cmd);
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return `${process.env.S3_BASE_URL}/${key}.csv`;
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}
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module.exports = { uploadTrendsCsv };
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