FIT files from older devices (and GPX/TCX files) often omit the speed field.
The sliding-window best-effort algorithm was treating all such points as speed=0,
so no records were ever produced for these activities.
Fix: when p.speed_kmh is None but consecutive lat/lon are available, compute
haversine segment speed and spread it evenly across the 1Hz interval slots.
This mirrors what _gps_stats already does for avg/max speed computation.
test_writer: _dummy_metrics() and test_build_summary_required_fields were
missing np_power_w=None after the field was added to ComputedMetrics.
test_metrics: the leading-zero elevation heuristic fired on a single 0.0
start value, incorrectly skipping the first legitimate elevation step.
Guard now requires at least 2 consecutive near-zero leading values before
activating the Apple Watch lock-acquisition workaround.
Apple Watch and similar devices record exactly 0.0 for elevation while
waiting for barometric/GPS lock, then jump to the real altitude. The
hysteresis accumulator was seeding from 0.0, counting the full jump as
ascent. Fix: detect a leading near-zero run followed by a large jump
and seed the accumulator from the first real value instead.
Applied in both _elevation() (fresh extractions) and
recalculate_elevation_hysteresis() (recompute path). Added a bulk
admin endpoint POST /api/admin/users/{handle}/recompute-elevation and
corresponding button to fix existing stored activities.
GPS jitter and barometric quantization noise caused systematic overestimation
of elevation gain — in extreme cases 100% of reported gain was sub-1m noise.
Implements source-aware hysteresis: elevation is only committed when it
deviates from the last committed value by ≥5m (barometric) or ≥10m (GPS/GPX/TCX).
- ParsedActivity gains `altitude_source` field ("barometric"/"gps"/"unknown")
- FIT parser sets "barometric" when enhanced_altitude is present, else "gps"
- GPX and TCX parsers always set "gps"
- metrics._elevation() uses the threshold matching the source
- 5 new parametric tests covering flat GPS noise, threshold differences, and real climbs
Strava originals with absolute Unix timestamps stored as elapsed-second
offsets produce a t_max of ~1.6 billion. compute_mmp and compute_best_efforts
both create dense 1Hz arrays via range(t_min, t_max+1), which for a 1.6B
span allocates 44+ GB and OOM-kills the process. Add a >1-week sanity
check and return None early for corrupt streams.
Root cause: old Strava activities (seen from 1970-epoch start_date)
where the time stream contains absolute Unix timestamps instead of
elapsed seconds.
Davide Scaini