Implement asynchronous data fetching for Splitwise integration

[Devasy]

Enhance the Splitwise integration by implementing asynchronous data fetching for user, friends, groups, and expenses. This improves performance and reduces blocking during API calls, optimizing the import functionality for serverless deployments. Additionally, update the environment configuration to include a critical FRONTEND_URL variable for OAuth.

Summary by CodeRabbit

Release Notes

• New Features

  • Optimized Splitwise import performance with parallel data fetching and concurrent group processing for faster, more efficient imports.

• Documentation

  • Updated deployment guide with new environment variable requirements and configuration guidance for concurrency limits.
  • Enhanced troubleshooting section with OAuth URL matching requirements.

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[netlify]

✅ Deploy Preview for split-but-wiser canceled.

Name	Link
🔨 Latest commit	00d7055
🔍 Latest deploy log	https://app.netlify.com/projects/split-but-wiser/deploys/697a3f91de0e08000846f017

[coderabbitai]

Caution

Review failed

The pull request is closed.

Walkthrough

Introduces asynchronous and concurrent processing for Splitwise imports across the client and service layers. Adds async wrapper methods to the Splitwise client, refactors the import service with parallel group/expense fetching and per-expense processing logic. Updates deployment documentation with required environment variables and performance optimization guidance.

Changes

Cohort / File(s)	Summary
Documentation DEPLOYMENT.md	Adds FRONTEND_URL environment variable with OAuth callback note; introduces Performance Optimizations section detailing asyncio-based concurrency improvements (async thread wrapping, parallel fetches with semaphores, batch preview generation) and troubleshooting guidance for OAuth URL matching.
Client Integration Layer backend/app/integrations/splitwise/client.py	Introduces four new async wrapper methods (get_current_user_async, get_friends_async, get_groups_async, get_expenses_async) that offload synchronous Splitwise API calls to worker threads using asyncio.to_thread.
Service Import Logic backend/app/integrations/service.py	Refactors preview path with parallel async fetches; introduces new _process_single_expense() method handling per-expense transformation, group mapping, user share resolution, settlement creation, and error handling within a concurrency limiter. Existing _import_expenses() now orchestrates batch processing via semaphore-controlled concurrent invocations.

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