optics-tracker-feishu

Automating optics research updates to Feishu cards involves exposing a Flask server via ngrok, caching paper data, and routing formatted cards to a configured Feishu group using environment variables.

Setting up ngrok tunneling for a Flask Feishu callback requires exposing port 5000 to provide a public endpoint, enabling the local Flask server to receive and process Feishu API integrations.

This Feishu card reporting automation supports both local development and server deployments, utilizing ngrok tunneling and a Flask callback to manage centralized optics paper tracking and distribution.

To route optics updates to a specific Feishu group, configure the target group parameters via environment variables, allowing the Flask callback server to distribute category-based research cards automatically.

Yes, you can cache and reuse Feishu card data for targeted optics research domains, leveraging the modular design to store centralized paper tracking results and trigger sub-cards for specific categories.