feat: add Svelte CI anomalies to download-anomalies.data.ts

[samal-rasmussen]

Add Svelte CI anomalies to download-anomalies.data.ts

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📥 Commits

Reviewing files that changed from the base of the PR and between 6f460e6 and f33034a.

📒 Files selected for processing (1)

• app/utils/download-anomalies.data.ts

🚧 Files skipped from review as they are similar to previous changes (1)

• app/utils/download-anomalies.data.ts

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📝 Walkthrough

Walkthrough

The pull request updates app/utils/download-anomalies.data.ts by adding three new entries for packageName 'svelte' to the DOWNLOAD_ANOMALIES array, each with specific start/end dates and weeklyDownloads values. A NOTE comment block was also added inside the array to indicate where to add future entries and to explain changes. No logic, exported interfaces, or public signatures were altered.

Possibly related PRs

• feat: show registered anomalies as dashed segments on download charts #1744: Adds charting and typing changes that consume and render the hasAnomaly and dashIndices properties provided by DOWNLOAD_ANOMALIES.

Suggested reviewers

• alexdln

🚥 Pre-merge checks | ✅ 1

✅ Passed checks (1 passed)

Check name	Status	Explanation
Description check	✅ Passed	The pull request description accurately relates to the changeset, which adds three new Svelte anomaly entries to the download-anomalies.data.ts file.

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[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ All tests successful. No failed tests found.

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[ghostdevv]

• https://npmxdev-git-fork-samal-rasmussen-svelte-anomalies-npmx.vercel.app/package/svelte?modal=chart&start=2023-06-17&end=2023-06-25&granularity=daily
• https://npmxdev-git-fork-samal-rasmussen-svelte-anomalies-npmx.vercel.app/package/svelte?modal=chart&end=2024-03-03&granularity=monthly&start=2023-03-05

[graphieros]

@samal-rasmussen

Thank you for your PR :)
Would this peak also require some correction ?

Also, I wonder if the correction for this sequence should start slightly before:

Wdyt ?

[samal-rasmussen]

Thank you for your PR :) Would this peak also require some correction ?

I already have that one in the pr.

Also, I wonder if the correction for this sequence should start slightly before:

I believe it starts and ends exactly right as I've already set it. I used the csv download to get the precise dates for the data:

2022-11-09,73407
2022-11-10,76389
2022-11-11,61405
2022-11-12,28670
2022-11-13,31092
2022-11-14,74297
2022-11-15,75233
2022-11-16,2075741
2022-11-17,3631844
2022-11-18,3832375
2022-11-19,3754596
2022-11-20,3749193
2022-11-21,3649561
2022-11-22,4167758
2022-11-23,5035961
2022-11-24,3952970
2022-11-25,3927307
2022-11-26,3945833
2022-11-27,3980243
2022-11-28,2378449
2022-11-29,155912
2022-11-30,69524
2022-12-01,72935
2022-12-02,63625
2022-12-03,30534
2022-12-04,31255
2022-12-05,71156
2022-12-06,74600
2022-12-07,74681

2023-06-14,97342
2023-06-15,90999
2023-06-16,83554
2023-06-17,38247
2023-06-18,39071
2023-06-19,107491
2023-06-20,1875609
2023-06-21,8613971
2023-06-22,112432
2023-06-23,91697
2023-06-24,54947
2023-06-25,46621
2023-06-26,106338
2023-06-27,106723

2023-11-14,140285
2023-11-15,133604
2023-11-16,144798
2023-11-17,142315
2023-11-18,59611
2023-11-19,585688
2023-11-20,390406
2023-11-21,150680
2023-11-22,133466
2023-11-23,113607
2023-11-24,100603
2023-11-25,54194
2023-11-26,59743
2023-11-27,136117

I've been very intentional not to exclude data that is plausible. I've set the data ranges as tight as possible, as to only exclude data that is clearly way out of the range seen before of after. I've only excluded data that is a sudden doubling or tripling or more from the days around it.

[graphieros]

Thank you for your explanations!

[github-actions]

Thanks for your first contribution, @samal-rasmussen! 🥳

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