- Exclude per-activity VAM contributions where climbing_time_s < 10 min; short
punchy efforts don't represent aerobic fitness and were skewing monthly averages
- Store climbing_time_s alongside climbing_vam_mh in metrics, detail JSON, and
summary JSON so the frontend has the data to reason about confidence
- Accumulate total climbing time per period; opacity scales from 0.25 (10 min,
minimum threshold) to 1.0 (≥ 1 h) so thin-evidence months read as faint dots
- Render VAM as dots only (no lines) since each period is an independent average,
not a cumulative — lines implied continuity that isn't there
- Tooltip now shows "1060 m/h · 38 min climbing"
Remove the per-duration VAM curve everywhere (metrics, summaries, detail
JSON, athlete.json, VamChart.svelte, AthleteView VAM tab). Keep only
climbing_vam_mh per activity. Add it to activity summaries so NerdCorner
can plot average climbing VAM per week/month year-over-year alongside
distance/elevation/time. Add --backfill-vam-summary flag to copy the
field from existing detail JSONs into index.json without re-extracting.
Extract pipeline now computes two VAM metrics per activity (cycling,
running, hiking, walking):
- climbing_vam_mh: VAM on ascending segments only, using 30 s forward
lookahead to classify climbing vs. flat/descent (stored in detail JSON)
- vam_curve: [[duration_s, vam_mh], ...] best VAM per standard duration
(60 s – 1 h), sliding window on 30 s smoothed elevation, only windows
with ≥ 10 m net gain count (stored in summary + detail)
Athlete JSON aggregates vam_curve across all activities (all_time,
last_365d, last_90d), same structure as power_curve.
Frontend:
- ActivityDetail shows "Climbing VAM" stat (grouped with elevation)
- AthleteView adds a "VAM Curve" tab that appears only when the athlete
has climbing data; renders VamChart (new component, mirrors MmpChart)
vam_curve stripped from combined global feed; kept in user year shards
for season-based on-the-fly aggregation in VamChart.
Requires bincio reextract to backfill existing activities.
- Add _INDOOR_TITLE_RE / _infer_indoor_title() to writer.py (matches zwift,
ftp-builder, turbo-trainer, rodillo); replaces the narrower zwift-only regex
that was local to write_athlete_json
- _is_outdoor now delegates to _infer_indoor_title so all four keywords are
excluded from records and MMP aggregation
- apply_sidecar and _apply_sidecar_summary both set sub_sport=indoor when the
title matches and no explicit sub_sport is already present
- _merge_one_locked: detect title-inferred activities as needs_merge and call
apply_sidecar({},{}) so the _merged copy gets sub_sport=indoor written
- _merge_all_locked: read index upfront to populate to_merge with title-inferred
IDs; call apply_sidecar({},{}) for activities in to_merge without sidecars;
apply _apply_sidecar_summary to ALL summary entries (not only sidecar ones)
- _is_outdoor now also excludes activities whose title matches /\bzwift\b/i,
covering the ~50 Strava-imported Zwift rides that lack sub_sport metadata.
- EditDrawer waits 900ms after a successful save before dispatching 'saved'
(which closes the drawer), so the green "Saved" confirmation is visible.
- fit.py: map FIT sub_sport 'treadmill' and 'virtual' to 'indoor'
- writer.py: broaden _is_outdoor to catch all indoor sub_sport variants
- render/cli.py: rebuild athlete.json from index.json on every bake so
records never go stale when the exclusion logic changes
- dem.py: pre-smooth elevation with 30s moving average before hysteresis
in recalculate_elevation_hysteresis(); thresholds drop from 5m/10m to
1m (barometric) / 3m (GPS) — accurate after noise is smoothed out
- dem.py: widen DEM median-filter window 45s → 60s
- dem.py: rename response key source → altitude_source for consistency
- writer.py: write altitude_source into detail JSON at extract time
- tests/test_dem.py: 21 unit tests for pure functions and file-level hysteresis
- tests/test_edit_server.py: 11 TestClient API tests for both recalculate endpoints
- add httpx as dev dependency (required by FastAPI TestClient)
- "unlisted" = not shown in the public feed, but GPS track, timeseries
and detail JSON are all accessible by direct URL (security by obscurity)
- "private" accepted as legacy alias everywhere (backward compat with
existing data on disk)
- New writes from Strava sync / ZIP upload / sidecar use "unlisted"
- Only "no_gps" now suppresses the GPS track
- isUnlisted() helper in format.ts used by all Svelte/Astro components
- SCHEMA.md and CLAUDE.md document the privacy model and the distinction
between "unlisted" and "no_gps"
- writer.py: timeseries is now written to {id}.timeseries.json as a separate file. The detail JSON gets a timeseries_url field instead. finalize_pending and cleanup_pending handle the extra file.
- merge.py (merge_one): symlinks the .timeseries.json file alongside the detail JSON. merge_all already handles it transparently (the .timeseries.json stem doesn't match any activity
ID in to_merge, so it falls through to the symlink branch).
- types.ts: timeseries is now timeseries?: Timeseries | null, and timeseries_url?: string | null added.
- dataloader.ts: new loadTimeseries(url, detailUrl, base) function that resolves paths correctly in both single- and multi-user modes (uses the fetched detail URL's directory as the base).
- ActivityDetail.svelte: loads timeseries separately after detail loads; uses detail.timeseries for IDB activities (embedded) or fetches via detail.timeseries_url for server activities. Charts show a pulse placeholder while loading.
2 — GZip
- GZipMiddleware (min 1 KB) added to both bincio/serve/server.py and bincio/edit/server.py — all API JSON responses are now gzip-compressed.
- For static files (the big timeseries JSONs), nginx should be configured with gzip on; gzip_types application/json application/geo+json; — no code change needed on the server side.
Net effect: opening an activity page now fetches ~1.4 KB (detail) instead of ~586 KB. The timeseries fetches ~60–150 KB gzip-compressed shortly after (it loads concurrently with the map rendering).
Davide Scaini