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Social analysis and metrics exporter based on Spring Boot

This is a simple Java Spring Boot application to perform social analysis. The following technologies are used.

Features

  • Export metrics via Prometheus format

Twitter Features

  • Search Twitter tweets based on specified query
  • Collect retweet and favorite counts
  • Simple scoring based on noun included in the tweet text

Slack Features

  • Collect number of messages and convert to countner

Metrics Example

Metrics is available at http://:8080/actuator/prometheus.

Twitter Example

The following labels will be included for each metric.

  • queryStringThe query string used to search tweet
  • tweetIdIndividual tweet id
  • screenName Screen name of the tweet
  • words Words in tweet

Each metric will expose the sentiment score based on the nouns included in the tweet message, retweet counts, and favorite counts.

social_twitter_retweets{queryString="#o11y2022",screenName="cloudnativedays",tweetId="1477776728152240129",} 4.0
social_twitter_retweets{queryString="#o11y2022",screenName="cloudnativedays",tweetId="1476023933744910340",} 6.0
social_twitter_sentiment{queryString="#o11y2022",screenName="cloudnativedays",tweetId="1477776728152240129",} 0.0
social_twitter_sentiment{queryString="#o11y2022",screenName="cloudnativedays",tweetId="1476023933744910340",} 1.0
social_twitter_favorites{queryString="#o11y2022",screenName="cloudnativedays",tweetId="1477776728152240129",} 5.0
social_twitter_favorites{queryString="#o11y2022",screenName="cloudnativedays",tweetId="1476023933744910340",} 9.0
social_twitter_words{words="NewSQL",} 3.0
social_twitter_words{words="CNDT",} 2.0

Slack Example

The following labels will be included for each metric.

  • workspaceNameThe workspace name
  • channelNameThe channel name
  • screenName Screen name of the slack user
social_slack_messages_total{channelName="o11y-team-notification",screenName="machih",workspaceName="cloudnativedays",} 3.0

Prerequisite

Download and placing sentiment dictionary

Download the latest japanese sentiment dictionary from here. In application.properties specify the file path of the file. ( Or update the value via supported methods in spring boot )

sentimentFile=data/pn.csv.m3.120408.trim # < update this

Create twitter4j.properties file

Create twitter4j.properties file based on the following guide

Set up Apps Environment values Slack API Token

The following values need to be defined in environment values

SLACK_APP_TOKEN = the slack app token (xapp-)
SLACK_BOT_TOKEN = the slack bot token (xoxb-)

Running

Execute the following command to run on local

./mvnw spring-boot:run

Containerize

Execute the following to containerize

./mvnw spring-boot:build-image