Kush/be queue

[ThakerKush]

Update to Queue Management and Schema Imports

Overview

This PR introduces several changes to the backend and frontend applications, primarily focusing on updating import paths for the database schema and enhancing queue management.

Changes

• New Features:
  • Implemented a dead letter queue (embedchunks-dlq) to handle failed message processing in the embedchunks-queue.
  • Enhanced queue management with configurable parameters for batch processing and retries.
• Refactoring:
  • Changed import paths in multiple frontend files to use a more consistent module structure (@repo/db/schema instead of @/server/db/schema).
  • Removed unused imports and ensured all components align with the new import structure.
  • Updated the database identifiers in the kv_namespces section to new values.
  • Refactored the memory creation logic, integrating a queue system for backend requests.
  • Simplified error handling structure, focusing on returning success or failure based on backend responses.
• Other Changes:
  • Added a new tail consumer service (new-cf-ai-backend-tail) in the wrangler.toml configuration.
  • Introduced a new queue named embedchunks-queue with specified producer and consumer settings.
  • Moved the getMetadata function from the shared library to the queueConsumer module.
  • Abstracted the entire "create memory" function into the queueConsumer, removing it from the previous implementation.
  • Adjusted the data structure sent to the backend during memory creation to directly send content instead of processed metadata.

✨ Generated with love by Kaizen ❤️

Original Description

None

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View logs

[kaizen-bot[bot]]

Code Review

❗ Attention Required: This PR has potential issues. 🚨

Error Handling

The function `batchCreateChunksAndEmbeddings` lacks error handling for API calls and database operations.

Potential Solution: Implement try-catch blocks around API calls and database operations, and add appropriate error logging and recovery mechanisms.

apps/cf-ai-backend/src/helper.ts | 279 - 280

reason_for_request: Without proper error handling, failures in API calls or database operations could lead to unhandled exceptions and potential application crashes.

level: [important] , severity: [8]

Type Assertion

The `getThreadData` function uses `@ts-ignore` before calling `input.env.THREAD.processTweets`. It's important to address the underlying TypeScript error instead of suppressing it.

Potential Solution: Investigate the cause of the type error and provide the correct type information to resolve it.

apps/cf-ai-backend/src/queueConsumer/helpers/processTweet.ts | 64 - 64

reason_for_request: `@ts-ignore` should be avoided as it bypasses type checking and can lead to runtime errors. It's crucial to fix the root cause of the type error.

level: [critical] , severity: [10]

Code Structure

The removal of chunkTweet.ts file might impact other parts of the application

Potential Solution: Ensure that all functionalities from the removed file are properly migrated or no longer needed

apps/cf-ai-backend/src/utils/chunkTweet.ts | 1 - 75

reason_for_request: Removing an entire file that contains important functionality could break dependent parts of the application

level: [critical] , severity: [10]

Code Removal

Large portions of the createMemory function have been removed, including type checking, content processing, and database operations.

Potential Solution: Verify that all removed functionality is now handled by the backend queue system. Update documentation and ensure that all edge cases are still properly handled in the new implementation.

apps/web/app/actions/doers.ts | 220 - 465

reason_for_request: Removing substantial functionality without clear replacement can lead to broken features and data inconsistencies.

level: [critical] , severity: [10]

Configuration Update

Added new configurations for queues, services, and database

Potential Solution: Review the new configurations carefully. Ensure that the queue names, service bindings, and database details are correct for the production environment. Test thoroughly before deploying.

apps/cf-ai-backend/wrangler.toml | 6 - 54

reason_for_request: The wrangler.toml file has been updated with new configurations for queues, services, and a D1 database. These changes could significantly affect the application's infrastructure and behavior.

level: [critical] , severity: [9]

API Integration

The createMemory function has been significantly refactored to use a backend queue system.

Potential Solution: Ensure that the backend API is properly implemented to handle the new queue-based approach. Update all related frontend components and error handling to work with the new API response format.

apps/web/app/actions/doers.ts | 191 - 218

reason_for_request: This is a major change in how content is processed and stored, potentially affecting the entire workflow of memory creation.

level: [critical] , severity: [9]

✨ Generated with love by Kaizen ❤️

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