resample("D") produces midnight-aligned bins; reindexing against a
range built from a raw timestamp (not midnight) caused all values to
be 0. Also switched the logins panel from daily to weekly to match the
feature usage panel — less noisy for a small app.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
scripts/usage_stats.py: standalone script (PEP 723, runs via uv run)
that parses all nginx access.log files, filters bots, maps Referer
headers to feature labels, and produces a 3-panel matplotlib figure:
daily logins + 7-day rolling mean, hour×weekday API heatmap, and
weekly feature usage stacked area. Output saved to
/var/bincio/stats/latest.png. Intended for a weekly cron job.
bincio/serve/routers/admin.py: GET /api/admin/stats serves the PNG
via the existing _require_admin() check — no new auth logic or nginx
changes needed.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Replace time-based rolling mean with a 400 m distance-weighted sliding-
window average (O(n), two advancing pointers) matching the spec in
SLOPE_COLORING.md. Slope values are now spatially consistent regardless
of riding speed. Smoothing buttons are hidden when the slope tab is
active.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
New "Slope" tab colours the filled area and stroke line with an SVG
linearGradient driven by per-point slope data (green→yellow→orange→red→
purple scale). Slope is computed from smoothed elevation + cumulative
distance, reusing the existing raw/10s/20s smoothing controls. The
hover tooltip shows slope % (in slope colour) and elevation. Tab is
enabled only when both elevation and distance data are present; the
X-mode and histogram toggles are hidden for this tab.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Reads each activity's timeseries, re-runs the VAM algorithm (which now returns
both climbing_vam_mh and climbing_time_s), and patches activities/*.json and
index.json in-place. Run once after upgrading to the new schema so NerdCorner
can filter and opacity-encode existing data.
- 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"
Layout: map + charts stacked left, stats panel (2-col) on the right.
Cadence moved to last stat. Charts sit directly below the map.
Speed coloring: most FIT files don't record per-second speed, leaving
timeseries speed_kmh all-null and the hover link dead. Fix: derive speed
from consecutive GPS coordinates (haversine + 5-pt moving average) when
the device didn't record it. Add --backfill-speed render flag to retrofit
existing timeseries files.
statColorMode() hid hasSpeedTrack etc. from Svelte's compiler so the
{#each} block never re-rendered when timeseries loaded. Inline the
ternary directly so all reactive variables are visible to the tracker.
Refactor the metric gradient code into shared _computeProgress +
_buildGradient helpers. Hovering any of speed/HR/power/elevation/cadence
stats switches the track to a blue→green→yellow→red gradient for that
metric. A small legend (min ·gradient bar· max + label) appears in the
bottom-left corner of the map while active. Absolute elevation used
(not slope), so blue=valleys, red=peaks.
Hovering avg/max speed in the stats panel switches the track from the
default gradient to a blue→green→yellow→red speed gradient. Progress
along the track is computed from cumulative distance (speed × time) so
fast sections appear proportionally long rather than time-weighted.
Reverts to default on mouse-leave. No-op when timeseries has no speed
data or the activity has no GPS track.
Find the activity that holds each MMP record by scanning per-activity
mmp arrays. Activity title appears in the chart hover tooltip. A table
below the chart lists every duration with the record watts, activity
title (linked), and date. The table has its own all-time/365d/90d toggle
independent of the chart overlays.
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.
Refactors core VAM logic into _vam_from_ele_1hz() and _build_ele_1hz()
so both the DataPoint-based extract path and the timeseries-based backfill
path share the same implementation.
render --recompute-vam reads stored *.timeseries.json files and updates
climbing_vam_mh + vam_curve in activities/*.json and index.json in-place,
without re-parsing the original FIT/GPX files.
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.
New pref download_disabled_default (stored in user_prefs + mirrored to
_user_settings.json for the render pipeline). When true, apply_sidecar
marks all activities as download_disabled unless the sidecar explicitly
sets download_disabled: false (per-activity opt-in from the edit drawer).
Settings page gets an "Activity defaults" card with the toggle.
New /api/admin/garmin-sync (GET) and /api/admin/garmin-sync/run (POST)
endpoints mirror the Strava equivalents, reading _garmin_sync_status.json
per user and exposing a run-now button. Admin page shows the Garmin table
below the Strava one, with auth_error/api_error/ok badges and live polling
while a sync is running.
GET /api/me/sync-status reads _strava_sync_status.json and
_garmin_sync_status.json for the logged-in user. On page load the nav
script checks this endpoint and, if either service has status=auth_error,
turns the upload arrow orange with a tooltip naming the disconnected
service(s).
New `bincio sync-garmin` command mirrors sync-strava: discovers all users
with garmin_creds.json, refreshes cached garth OAuth2 session, imports new
activities, and optionally POSTs to the rebuild endpoint.
systemd timer fires every 3h offset by 1h30m from Strava to avoid
simultaneous rebuilds. Status written to _garmin_sync_status.json per user.
New endpoint: GET /api/activity/{id}/download/{bas|original|gpx}
- bas: streams the BAS detail JSON as an attachment
- original: streams the original FIT or GPX file from originals/
- gpx: generates a GPX from the timeseries (always available when GPS exists)
download_disabled flag stored in sidecar (edits/{id}.md), propagated to
the merged BAS detail JSON. When set, only the owner can download.
Backend: ops.py writes flag to sidecar; merge.py propagates it to detail
JSON; download.py implements the endpoint; server.py registers the router.
Frontend: EditDrawer gets a "No download" toggle button; ActivityDetail
shows a Download section (hidden when disabled and viewer is not the owner).
feed.json is now a BAS shard index pointing to feed-YYYY-MM.json files
(~150 activities / ~25 KB gzip each) instead of 400+ sequential feed-N.json
pages. The frontend can now jump directly to a specific month when filtering
by year or date range, without loading all newer data first.
- merge.py: write_combined_feed groups by YYYY-MM and emits a shard index
- dataloader.ts: isYearShardUrl matches feed-YYYY-MM.json; loadCombinedFeed
returns pendingShards; FeedPage interface and loadCombinedFeedPage removed
- ActivityFeed.svelte: _yearFromShard handles both index-YYYY and feed-YYYY-MM;
feedNextPage/feedTotalPages/loadingAllFeedPages removed; infinite-loop bug
fixed (toLoad.length guard before setting loadingAllShards); onMount uses
pendingShards from loadCombinedFeed
- Stop fetching combined-feed pages once the oldest activity in a batch predates
the from-date (feed is newest-first, so everything needed is already loaded)
- Show "Loading…" instead of "No activities found" while eager-load is in progress
- Constrain From max to customTo (or today) and To min to customFrom so the
range can't be inverted via the date pickers
Previous attempt used dateFrom (a derived $: variable) as the trigger which
Svelte 5 doesn't reliably track as a dependency of a side-effect $: block.
Replace with the primary let-variables (customFrom, customTo, datePre) that
Svelte does track statically.
Also extend eager-loading to cover the global combined feed (feedNextPage)
so date/search filtering works on multi-user instances too, not just per-user
profile pages (pendingShards).
The initial page load only fetches the most recent year shard. Selecting a
date range or year preset that spans an older shard returned no results because
those shards were never loaded. Extend the existing search eager-load trigger
to also fire on any non-empty dateFrom, covering both custom date inputs and
year preset buttons.
Status cycles open → awaiting → done → reopen.
Awaiting ideas float to the top in a 'Waiting for your feedback' section
with an amber border (#f59e0b).
Admin can attach an implementation note to any awaiting idea via
POST /api/ideas/{id}/comment. The note appears inside the same card
in a distinct sub-box with a subtle amber tint border, editable inline.
The sub-box is visible to all users once a note exists.
Devices (Apple Watch, some GPS units) record 0.0 when they lose barometric/GPS
lock mid-activity. The old accumulation committed these as real sea-level points,
inflating both gain and loss by the current elevation (e.g. 792m dropout on the
Cosmo Walk added ~1584m of phantom gain+loss).
Fix: skip any elevation value < 1.0m when the current committed elevation is
significantly above zero (> threshold). Gradual legitimate descents to sea level
are unaffected because intermediate values are committed along the way.
Add --recompute-elevation flag to bincio render to backfill existing activities.
In multi-user instances /api/me is async and usually hasn't returned by the
time onMount runs, leaving isOwner=false. Subscribe to the bincio:me event
(fired by Base.astro when /api/me resolves) so the reactive TABS filter
re-evaluates and Explore / Nerd Corner appear without needing Cmd+Shift+R.
- 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.
- _rebuild_athlete_json now applies sidecar edits (sub_sport, sport, etc.)
in-memory before passing summaries to write_athlete_json, so activities
marked indoor via sidecar are correctly excluded from records.
- _best_climb now runs Kadane's over cumulative distance (not 1Hz dense
time) so recording pauses don't create None gaps that falsely reset the
climbing window. Grappa: 811m→1603m; Nivolet: 311m→2009m.
- Add bincio render --recompute-climbs to backfill existing activities
from their stored timeseries.
- 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
bake_tracks now writes tracks_YYYY.json shards + tracks_index.json manifest
instead of a single monolithic tracks.json. API /api/me/tracks returns the
manifest; /api/me/tracks/{year} serves individual shards. Explore.svelte
fetches the two most recent years eagerly then streams the rest in the
background so the map renders immediately with recent data.
Davide Scaini