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Update documentation with Phase 2 Action 2 findings

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Ramforth
2025-10-30 20:17:39 +01:00
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DEVELOPMENT_PLAN.md
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@@ -79,6 +79,8 @@ Our network analysis revealed that YouTube's web client uses a `POST` request to
* **Findings:** `liveChatMessages.list` costs 5 quota points per request, regardless of whether it's for live or replay chat. Frequent polling (e.g., 1 request/second) will exhaust the 10,000 daily quota in about 33 minutes. The method is not designed for efficiently replaying extensive past chat history. There's no indication of different or more lenient quota characteristics for replay usage. This approach does not offer a sustainable, quota-friendly solution for continuous monitoring.
* **Status:** **COMPLETED.** Conclusion: Not a sustainable solution for continuous monitoring.
2. **Minimal `part` Parameters:** Re-confirm the absolute minimum `part` parameters required for `liveChatMessages.list` to reduce quota cost per call.
* **Findings:** The minimal `part` parameters to retrieve essential chat message information (author's name, message content, and author's unique ID for persistent colors) are `snippet,authorDetails`. This will incur a cost of 5 quota points per request.
* **Status:** **COMPLETED.**
3. **Intelligent Polling Refinement:** Explore advanced adaptive polling strategies beyond `pollingIntervalMillis`, potentially incorporating machine learning to predict chat activity and adjust polling frequency.
## Phase 3: Community Solutions and Open-Source Projects
@@ -100,4 +102,4 @@ Our network analysis revealed that YouTube's web client uses a `POST` request to
**Prioritization:** All research will prioritize **open-source and Linux-compatible solutions**. Compliance with YouTube's Terms of Service remains a critical factor.
**Next Steps:** The findings from this revised research will be compiled into a structured document to inform the design and implementation of a robust YouTube Live Chat monitoring solution.
**Next Steps:** The findings from this revised research will be compiled into a structured document to inform the design and implementation of a robust YouTube Live Chat monitoring solution.