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@VirajAgarwal-couchbase VirajAgarwal-couchbase requested a review from a team as a code owner October 16, 2025 09:28
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Summary of Changes

Hello @VirajAgarwal-couchbase, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request introduces a new tutorial that guides users through building a serverless hotel search application. It demonstrates the integration of AWS AppSync for a GraphQL layer, Couchbase Data API for efficient data access, and Streamlit for a responsive web-based user interface. The tutorial covers setting up each component, defining the data flow, and visualizing results on an interactive map, providing a complete end-to-end solution.

Highlights

  • Couchbase Data API Integration: The tutorial details how to enable and leverage the Couchbase Data API for RESTful access to Couchbase Capella, highlighting its advantages for serverless architectures by avoiding heavy SDK initialization and supporting any language with HTTP capabilities.
  • AWS AppSync Setup: It guides through the creation of an AWS AppSync GraphQL API, including defining a GraphQL schema for hotel data (CouchbaseAuth, Hotel, HotelGeoObject, etc.) and configuring an HTTP data source to connect to the Couchbase Data API endpoint.
  • JavaScript Resolver Implementation: A comprehensive section explains how to build an AppSync JavaScript Unit Resolver. This resolver translates GraphQL requests into SQL++ queries for the Data API, dynamically handling Basic authentication using credentials passed from the client.
  • Streamlit Frontend Development: The tutorial demonstrates building a Python-based Streamlit application. This frontend interacts with the AppSync API to search for hotels by city, processes the results, computes ratings, and visualizes the hotels on an interactive map using pydeck.
  • Debugging and Logging: It includes recommendations and steps for enabling AppSync request/response logging in CloudWatch, which is crucial for debugging and monitoring the interactions between AppSync and the Data API.
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@VirajAgarwal1 VirajAgarwal1 self-assigned this Oct 16, 2025
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Code Review

This pull request adds a new tutorial for using Couchbase Data API with AWS AppSync and a Streamlit frontend. The tutorial is comprehensive and covers the end-to-end process. My review includes a few suggestions to improve the tutorial:

  • A critical security fix for a SQL injection vulnerability in the AppSync resolver code, along with a correction to ensure the request body is properly stringified.
  • Improved error handling in the Python frontend code to provide better feedback to the user.
  • Addressing placeholder links and a TODO in the markdown file.
  • A suggestion to correct a potentially confusing file path.

Overall, this is a great addition, and with these changes, it will be an excellent and secure resource for users.

VirajAgarwal1 and others added 7 commits October 16, 2025 15:05
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
- use environment variables for credentials in AppSync
- removed Couchbase credentials from frontend
- restructured steps and screenshots
- Refactor GraphQL schema to use nested Airport type with location
- Update resolver with SQL++ CTE for geospatial distance calculations
- Implement dual-layer map visualization (hotels + airports)
- Add differentiated tooltips (full details for hotels, name only for airports)
- Simplify frontend code and remove complex zoom calculations
- Update tutorial documentation with comprehensive geospatial examples
- update the screenshots for the new use case
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