Add architecture documentation page

[j-94]

Summary

• document pipeline architecture, core components, and workflow

Testing

• npm test (fails: ENOENT no such file or directory, open 'test_bookmarks.jsonl')

---

https://chatgpt.com/codex/tasks/task_e_6895a302515c8321a508c7a3ec520800

[gemini-code-assist]

Summary of Changes

Hello @j-94, 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!

I've added a new documentation page to the project that provides a high-level overview of its architecture. This document details the structure and flow of the modular delta load ETL pipeline designed for bookmark data, explaining how different components interact to fetch, process, enrich, and monitor information. The goal is to provide a clear understanding of the system's design and operational workflow.

Highlights

• New Architecture Documentation: A new file docs/architecture.md has been added, providing an overview of the project's modular delta load ETL pipeline. It describes core components like BookmarkDeltaETL, various Fetchers (e.g., RaindropFetcher, GitHubFetcher), and AIBookmarkEnricher. It also covers scheduling and monitoring components such as DeltaScheduler and delta-monitor.ts, and outlines a typical workflow for processing bookmark data.

Using Gemini Code Assist

The full guide for Gemini Code Assist can be found on our documentation page, here are some quick tips.

Invoking Gemini

You can request assistance from Gemini at any point in your pull request via creating an issue comment (i.e. comment on the pull request page) using either /gemini <command> or @gemini-code-assist <command>. Below is a summary of the supported commands.

Feature	Command	Description
Code Review	/gemini review	Performs a code review for the current pull request in its current state.
Pull Request Summary	/gemini summary	Provides a summary of the current pull request in its current state.
Comment	@gemini-code-assist	Responds in comments when explicitly tagged, both in issue comments and review comments.
Help	/gemini help	Displays a list of available commands.

Customization

To customize Gemini Code Assist for GitHub experience, repository maintainers can create a configuration file and/or provide a custom code review style guide (such as PEP-8 for Python) by creating and adding files to a .gemini/ folder in the base of the repository. Detailed instructions can be found here.

Limitations & Feedback

Gemini Code Assist may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counter productive. You can react with 👍 and 👎 on @gemini-code-assist comments or fill out our survey to provide feedback.

You can also get AI-powered code generation, chat, as well as code reviews directly in the IDE at no cost with the Gemini Code Assist IDE Extension.

Footnotes

1. Review the Privacy Notices, Generative AI Prohibited Use Policy, Terms of Service, and learn how to configure Gemini Code Assist in GitHub here. Gemini can make mistakes, so double check it and use code with caution. ↩

[gemini-code-assist]

Code Review

This pull request adds architecture documentation, which is a great step towards improving project maintainability. The new docs/architecture.md file provides a good high-level overview of the system components and workflow. My review includes a suggestion to improve consistency in how components are referenced in the new documentation. I also noticed the PR description mentions that tests are failing. This should be addressed before this pull request is merged.

[gemini-code-assist]

For consistency with the other components listed, which use class names (e.g., BookmarkDeltaETL, DeltaScheduler), it would be clearer to refer to the DeltaMonitor class instead of the filename delta-monitor.ts.

Suggested change

	- **`delta-monitor.ts`**: collects statistics about processed bookmarks to aid
	in monitoring and reporting.
	- **`DeltaMonitor`**: collects statistics about processed bookmarks to aid
	in monitoring and reporting.

[entelligence-ai-pr-reviews]

LGTM 👍