feat(duckpipe): densify web points sample to 250k mutations - #9
Merged
Conversation
The 100k default sample left the price heatmap sparse outside the main metro areas now that the webapp renders it as a MEAN price surface. 250k points stay around 3 MB gzipped on the CDN and remain lazy-loaded by the heat mode only.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Summary
The 100k default sample left the price heatmap sparse outside the main metro areas now that the webapp renders it as a MEAN price surface (T-DAT-902-Homepedia/webapp#40). 250k points stay around 2.5 MB gzipped on the CDN and remain lazy-loaded by the heat mode only.
Already live: run 2026-07-08 was published with this change (250 000 points verified on the public bucket).
Test plan
uv run pytest(16 passing) — the sampling test pins its ownn=5, unaffected