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Data importer for The Strategy Room data visualisation site

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ccid-tsr-importer

This repository contains tools for import and summarisation of data collected during The Strategy Room sessions.

The Strategy Room is an immersive experience which uses facilitated discussion and social psychology to find out what non-experts really think about climate change policies. It’s a way for someone to walk in off the street and within 90 minutes, to imagine the benefits of a Net Zero future, and to have their say on how we get there.

Repository contents

The tsr-importer-app directory contains a CloudFormation application with functions to import data uploaded to s3 from TSR sessions, summarise and store that data by demographic, and then present that data for consumption by The Strategy Room data visualisation platform.

See also: nestauk/ccid-tsr-data-platform

directory description
samples/collective-simulation-tsr-data-uploads_s3/ Sample s3 upload from a session
samples/tsr-data-platform_dynamodb/ Sample dynamo db record for a session
samples/summary-endpoint/ Sample data from the summary endpoint
tsr-importer-app/ CloudFormation app stack with import, summarisation, and summary endpoint functions
tsr-parser-original/ Parser and scripts to prepapre data and import it into our sessions DynamoDB table.
tsr-question-map-generator/ Generates static dataset of questions for each of the dataviz tabs.
tsr-stats/ Command-line analysis tool to see what's in our DynamoDB tables and S3 bucket.
tsr-selenium-tests/ Selenium tests for the TSR site (including a demo script)

Resources

Key resources are:

Processes

Import new session data

  • Use scripts in the tsr-parser-original directory

    cd tsr-parser-original
    ./install-prerequisites.sh
  • Learn the session id (6 digit numeric)

  • Ensure that the session is in our s3 bucket

  • Prepare an import file for the session

    ./generate-session-entry.sh --session <session-id> --bucket collective-simulation-tsr-data-uploads --update
  • Ensure that output/<session-id>.parsed.json was created

  • Upload the session to DynamoDB

    ./upload-session.sh --file output/<session-id>.parsed.json --table tsr-importer-app-SessionTable-O89MWVA1W5BQ
  • Once the table has been updated, the summariser function will automatically run, and regenerate summaries of all the demographics in the summaries table.

  • These summaries will be served.

You may encounter a small delay (worst case, up to 1h 15m) before the strategyroom.uk site updates. This is because the lambda functions that serve data to the site cache their data. Lambdas can live for up to about 45 mins before AWS recycles them. Meanwhile, the site itself caches unfiltered search data it received from the lambda for up to 30 mins.

Review statistics

  • Use scripts in the tsr-stats directory

    cd tsr-stats
    ./install-prerequisites.sh
    ./run-stats.sh

Statistics include

  • the number of participants found in the s3 bucket, and in both the sessions and summaries tables
  • the number of unique demographics identified in the summaries table
  • the unique ethnicities, genders, and age ranges found in the s3 bucket and both tables

If you encounter a discrepancy in the data, vs what you'd expect, this may help to determine which stage of the import process has introduced an error.

Modify and redeploy the backend

  • Work in the tsr-import-app directory

  • Use the dev-sync.sh script to enable continuous sync with a dev stack of your choice

    ./dev-sync.sh dev-tsr-importer-app
    
  • Modify the functions or template.yaml - your changes will be automatically synchronised

  • When ready, use the prod-deploy.sh script to sync your changes with the production stack

    ./prod-deploy.sh
    

NB. The summariser function will only run if triggered, ie.

  • Any changes to the sessions table will trigger the summariser function
  • You can also trigger it by running a test in the console, with a blank input

NB. If you modify the way unique demographic codes are generated, you may need to delete everything in the summaries table, and then run the summariser function. This will ensure that old data is not retained. (If, however, the way demographic codes are created isn't changed, you'll be fine - these codes are used as the index on the table.)

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