How I Built a Twitter Keyword Monitoring Using a Serverless Node.js Function With AWS Amplify

• twitter-api-client

  7 947 0.0 TypeScript

  Discontinued A user-friendly Node.js / JavaScript client library for interacting with the Twitter API.

  

const mokkappsTwitterId = 481186762; const searchQuery = 'mokkapps'; const searchResultCount = 100; const fetchRecentTweets = async secretValues => { // Configure Twitter API Client const twitterClient = new twitterApiClient.TwitterClient({ apiKey: secretValues.TWITTER_API_KEY, apiSecret: secretValues.TWITTER_API_KEY_SECRET, accessToken: secretValues.TWITTER_ACCESS_TOKEN, accessTokenSecret: secretValues.TWITTER_ACCESS_TOKEN_SECRET, }); // Trigger search endpoint: https://github.com/FeedHive/twitter-api-client/blob/main/REFERENCES.md#twitterclienttweetssearchparameters const searchResponse = await twitterClient.tweets.search({ q: searchQuery, count: searchResultCount, result_type: 'recent', }); // Access statuses from response const statuses = searchResponse.statuses; };

• murder

  1,346 11 10.0 Ruby

  Large scale server deploys using BitTorrent and the BitTornado library (by ervinb)

const twitterApiClient = require('twitter-api-client'); const { formatDistance } = require('date-fns'); const mokkappsTwitterId = 481186762; const searchQuery = 'mokkapps'; const searchResultCount = 100; const mapStatus = status => { const { id_str: id, created_at, in_reply_to_screen_name, in_reply_to_status_id_str, text, retweet_count, favorite_count, user: { screen_name: user_screen_name, followers_count, created_at: userCreatedAt, friends_count, }, } = status; const createdAtLocaleString = new Date(created_at).toLocaleString(); const url = `https://twitter.com/${user_screen_name}/status/${id}`; const userUrl = `https://twitter.com/${user_screen_name}`; const originalUrl = in_reply_to_screen_name ? `https://twitter.com/${in_reply_to_screen_name}/status/${in_reply_to_status_id_str}` : null; const userCreatedDateDistance = formatDistance( new Date(), new Date(userCreatedAt) ); return ` From ${userUrl}>${user_screen_name} at ${createdAtLocaleString} Followers: ${followers_count}, Following: ${friends_count}, Account Created: ${userCreatedDateDistance} ago ${text} ${url} style="margin-top: 10px">Tweet (Likes: ${favorite_count}, Retweets: ${retweet_count}) ${ originalUrl ? ` ${originalUrl}>Original Tweet` : '' } `; }; const isTweetedInLast24Hours = status => { const tweetDate = new Date(status.created_at); const now = new Date(); const timeDifference = now.getTime() - tweetDate.getTime(); const daysDifference = timeDifference / (1000 * 60 * 60 * 24); return daysDifference <= 1; }; const fetchRecentTweets = async secretValues => { const twitterClient = new twitterApiClient.TwitterClient({ apiKey: secretValues.TWITTER_API_KEY, apiSecret: secretValues.TWITTER_API_KEY_SECRET, accessToken: secretValues.TWITTER_ACCESS_TOKEN, accessTokenSecret: secretValues.TWITTER_ACCESS_TOKEN_SECRET, }); const searchResponse = await twitterClient.tweets.search({ q: searchQuery, count: searchResultCount, result_type: 'recent', }); const statuses = searchResponse.statuses; const tweets = statuses .filter(status => { const isNotOwnAccount = status.user.id !== mokkappsTwitterId; const isNoReply = status.in_reply_to_status_id === null; const isNoRetweet = status.retweeted_status === null; return ( isNotOwnAccount && isNoReply && isNoRetweet && isTweetedInLast24Hours(status) ); }) .map(status => mapStatus(status)); const retweets = statuses .filter(status => { const isNotOwnAccount = status.user.id !== mokkappsTwitterId; const isRetweet = status.retweeted_status; return isNotOwnAccount && isRetweet && isTweetedInLast24Hours(status); }) .map(status => mapStatus(status)); const replies = statuses .filter(status => { const isNotOwnAccount = status.user.id !== mokkappsTwitterId; const isReply = status.in_reply_to_status_id !== null; return isNotOwnAccount && isReply && isTweetedInLast24Hours(status); }) .map(status => mapStatus(status)); return { tweets, retweets, replies, }; }; module.exports = fetchRecentTweets;

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• aws-lambda-java-libs

  301 506 6.6 C++

  Official mirror for interface definitions and helper classes for Java code running on the AWS Lambda platform.

  

If we successfully pushed the function to AWS, we can manually invoke the function in AWS Lamba by clicking the “Test” button:

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