ramforth/youtube-chat-webhook-v2
2
1
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases 1 Wiki Activity

Update documentation with Phase 2 Action 3 findings

Browse Source
This commit is contained in:
Ramforth
2025-10-30 20:24:15 +01:00
parent a35d23c598
commit 4d02a548b8
2 changed files with 10 additions and 3 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
DEVELOPMENT_PLAN.md
View File

@@ -82,6 +82,8 @@ Our network analysis revealed that YouTube's web client uses a `POST` request to
* **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.
* **Findings:** While intelligent polling is a valuable concept for API management, it does not offer a viable path to a sustainable, quota-friendly solution for *continuous, real-time YouTube Live Chat using the official API*. Its application to `pytchat` is also not directly beneficial as `pytchat` already adapts its polling based on YouTube's internal signals.
* **Status:** **COMPLETED.** Conclusion: Not a primary solution for continuous chat fetching using the official API; not directly beneficial for `pytchat`.
## Phase 3: Community Solutions and Open-Source Projects

7
PROGRESS_LOG.md
View File

@@ -49,7 +49,12 @@ This document chronicles the key steps, findings, and decisions made during the
* **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.
* **Conclusion:** While minimal parameters are identified, the base cost of 5 quota points per request still makes continuous polling unsustainable for the project's goal.
### Action 3: Intelligent Polling Refinement
* **Investigation:** Explored advanced adaptive polling strategies beyond `pollingIntervalMillis`, potentially incorporating machine learning to predict chat activity and adjust polling frequency.
* **Findings:** While intelligent polling is a valuable concept for API management, it does not offer a viable path to a sustainable, quota-friendly solution for *continuous, real-time YouTube Live Chat using the official API*. Its application to `pytchat` is also not directly beneficial as `pytchat` already adapts its polling based on YouTube's internal signals.
* **Conclusion:** Not a primary solution for continuous chat fetching using the official API; not directly beneficial for `pytchat`.
## Next Steps
* Proceed with "Intelligent Polling Refinement" as outlined in `DEVELOPMENT_PLAN.md`.
* Proceed with "Community Solutions and Open-Source Projects" as outlined in `DEVELOPMENT_PLAN.md`.
* Continue with other phases of the revised research plan, keeping the compliance and fragility risks of `pytchat` in mind.