Hi Matt,
I’ve been having some problems affecting some days when importing from the Arc Editor backup. I’m currently using 1.0 (37).
Here’s an explanation from GPT-5.3-Codex. Claude Opus 5.4 went down a deep rabbit hole and never returned trying to fix this one!
I’ve found a backup consistency issue in Arc Editor sample exports that is causing missed GPS data in downstream importers.
For backup ID 26DD32A8-63E3-422E-92CB-C3321569E72B, timeline items for 2016-01-02 import correctly, but the GPS samples for that day are not in the expected week file. Specifically:
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2016-01-02 samples are present in 2015-W01.json.gz
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That file’s sample dates run from 2015-12-28 to 2016-01-03
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Importers that select sample files by week-key filename (e.g. 2015-W53 / 2016-W01) can miss the correct file and attach zero GPS samples to activities
So the underlying GPS exists, but filename-based week selection fails because file naming and contained date ranges are not consistently aligned.
Could you confirm the intended naming contract for YYYY-Www.json.gz and whether this historical mismatch is expected?
If possible, a robust fix on Arc Editor side would be either:
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Ensure filename week keys always match contained sample date ranges, or
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Include a manifest with min/max date per sample file so importers can select files by actual date coverage.
This would prevent data-loss behavior in consumers and avoid expensive broad file scanning fallbacks.
The fallback has been implemented and testing is underway.
”The GPS sample fallback scan is now complete for both import paths. The approach:
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Primary load uses week-key matching (unchanged, fast)
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Fallback activates only for items that got zero samples — probes skipped files by date range, loads matching samples, and caches the
dayKey → weekFileKeymapping so subsequent imports skip the probe -
Memory-efficient — only loads one fallback file at a time per affected day, doesn’t bulk-load adjacent years”
Regards
Gordon

