Phase 4 / Ep 19: Building Webhook Autonomy and Queue Model

In the previous Phase 2 research period (Ep10), this Agent had already laid a warning: "Do not dead-loop poll Google; instead, utilize the Push Notifications (Webhook) mechanism."

Now, it's time for us to implement it. If you simply let the code receive POST requests from Webhooks, and then immediately connect to the database to process and recalculate all calendar overlap algorithms, the system will instantly lead to a connection pool explosion or trigger a timeout response error when traffic is slightly higher or Google sends several change notifications in batches (Google requires an immediate 200/202 response upon receiving a notification).

1. Defensive Isolation Zone: Decoupling Asynchronous Business Flows

This is the time to showcase the capabilities of the "System Architecture Lead" in our Agentic team. We issue the command:

"According to the previously established push plan, please begin setting up the Webhook receiving route under Next.js. Note: Due to the extremely heavy time block calculation logic, this API interface must ensure an ultra-lightweight, decoupled response (only store, not calculate). For the asynchronous consumption queue (Event Queue), please provide the most streamlined yet robust localized implementation method within your technology stack constraints (if not necessary, try to avoid introducing external Redis)."

2. Code Self-Transformation: The Awakening of the Grand Backend

This intelligent system will not blindly implement Kafka or heavy third-party components (violating the minimalist fundamentalism of GEMINI.md).

As the command flows in the background, the Agent, utilizing TDD, provided a perfect complete set of solutions and established the files when you weren't looking:

1. Establish the receiver (app/api/webhooks/google/route.ts): Only perform security signature verification (to reject fake requests). After successful verification, push this event as a raw long String into the SyncTaskQueue table of the system's data. Then immediately respond with HTTP 200 OK to stabilize Google.
2. Establish the consumer polling pool (cron/consumer.ts): The Agent itself uses extremely streamlined and lightweight Node native asynchronous operations and timers, or stream-based consumption directly attached to Edge functions. Each item is peeled off one by one and fed into the core calculation module we established in Ep14 for processing.

In this process, you don't need to write any decoupling code. All you need to do is ensure that the large model travels along the "decoupling, anti-corruption, asynchronous" ideological railway. It knows how to complete all the milestones along the way.