# Analytics Server-side visit analytics. Data lives in a plain JSON file — a msgspec Struct dumped to disk — separate from the kanta content database, path from `PAGERITE_ANALYTICS` (default: the database path with `.kantadb` replaced by `.analytics.json`, e.g. `pagerite.analytics.json`). - `pagerite/analytics.py` — data model (`Analytics`, `Visit`) and the `Store` (in-memory data + session map, atomic JSON persistence). - `pagerite/app.py` — entry-referer stashing in `show_page` (`_track_entry`), the `POST /_a` ping endpoint, and `GET /_api/analytics` (admin-gated like every `/_api` endpoint). - `frontend/src/pagerite.js` — client navigation pings and the 📊 pen. - `frontend/src/AnalyticsView.vue` — full-screen viewer (its own Vue app via `openAnalytics()`/`closeAnalytics()` in `main.js`, not a docked-panel tab). ## What is collected The client (`pagerite.js`) POSTs fire-and-forget pings to `/_a` with `{fr, to}` (`fr` = source path): - **Initial page load**: `to` is the loaded path. This ping is what starts the visit and counts the entry page view — the document GET alone records nothing, so bots and admin browsing never register. Reloads are not visits: the ping is skipped (PerformanceNavigationTiming `reload`), so a refresh neither counts a second view nor logs a self-transition. The GET handler only stashes a cross-origin https `Referer` (origin part only) in an in-memory IP → referer table, consumed by the ping that starts the visit; internal or absent referers never touch the table. - **Internal fetch-navigations**: `to` is the target path, sent only after the swap actually happened (a failed swap falls back to a full load, whose initial ping counts the view instead — no gap, no double count). - **External links** (`https` only): `to` is the link's origin. This is the exit-link record; the user may continue navigating afterwards (new tab, back), so the exit origin is not necessarily the last trail entry. - **Excluded**: back/forward (popstate) navigations, and everything while the user is known to be an admin *and SSO is actually in use* — with no auth proxy (dev/test) "admin" is everyone's state, so the gate is off and everything is recorded — or has the editor open (`body.editing`) or the analytics view open (`body.analytics-open`) — admin noise, not visits. - The server validates `to`: internal paths must be valid slug paths ("/" or `[a-z0-9_-]` segments), external ones are re-derived to the https origin and accepted only when the client sent exactly that. ## Visits and sessions There are no cookies. A visit is tied together by the (IP, User-Agent) pair (IP from the first `X-Forwarded-For` hop — we sit behind a proxy — else the direct peer): the first ping from a pair starts a new visit, subsequent pings extend it. Pings arriving with no known session (server restart) start a fresh visit from the first ping — treated as missing data rather than dropped. The (IP, UA) → visit map and the IP → entry-referer table are in-memory only; IPs are never persisted. Each `Visit` record: - `start` — timestamp of the first event, - `entry` — first page (path) seen, - `referer` — external https origin of the initial load, `""` for direct, - `trail` — everything seen afterwards in first-seen order: page paths and external exit origins. Re-visiting an already seen page (incl. the entry) does not append. ## Aggregates - `transitions`: sparse nested dict `from -> to -> count`. `from` is the referer origin or `"(direct)"` for initial loads, a page path for pings. - `views`: time series of page loads, `path -> bucket -> count`, sparse: only non-zero 5-minute buckets exist (bucket key is its floored ISO timestamp). Every load counts, including repeats within a visit; external exit origins are not page views and are not counted here. - `site_visits`: `bucket -> count` of new visits started, same sparse 5-minute bucketing. Sparseness keeps quiet sites small; dropping old data is a matter of deleting list/dict entries (`visits` is a plain append-only list, buckets plain keys). ## Persistence The whole `Analytics` struct is JSON-encoded and written atomically (temp file + rename) on every recorded event. Traffic on a small CMS makes this cheap enough; batching can be added later without changing the format. ## Viewing The 📊 pen in the banner corner (admins only, injected by pagerite.js next to the edit pens) opens `AnalyticsView.vue` — a true full-screen app, not an overlay: `body.analytics-open` hides the page chrome and the document itself scrolls the view, styled by the active theme's variables. It is addressable by URL: `#/analytics/` (`week` default; opening via the pen pushes a history entry so the back button exits, and pagerite.js auto-opens it on load for editors when the hash is present, so refresh and link sharing work). Charts are SVG curves (Catmull-Rom over an edge-aware adaptive Gaussian — a change-point detector splits the series at traffic-level shifts, then each segment is smoothed with a bandwidth that ramps with a broad pilot estimate of the local rate: isolated events stay narrow (~0.4-unit sigma, peaking at ~1 event/unit), busy traffic widens to a 1-unit sigma. The raw series is drawn faint underneath). Values are **per-unit rates** — per hour on the week view (5-minute bucket counts × 12, plotted at native 5-minute resolution), per day on the month+ ranges — and the smoothing time scale follows the unit: the month+ sigmas are 24× the hourly ones. The y max is derived from the smoothed curves so single-bucket spikes don't blow up the scale, and raw spikes are clamped into the plot. Axes always start at 0 and end at a multiple of a 1-2-5 major step (max 5 labeled intervals, minor lines at fifths when integral; the floor is 1/h). The week range is aligned to Monday 00:00 UTC and overlays up to 8 previous weeks in the same accent color at decreasing opacity (the current week is truncated at the current bucket, never drawing fake zeroes for the future); its x labels are weekday names centered at midday UTC, without vertical grid lines (day boundaries would be misleading in the viewer's timezone). The month view labels days the same lineless way — day numbers at noon UTC, with the month name substituted for the 1st. Year and all are rolling windows ending at now, re-bucketed to daily points, with boundary lines at months/years. Below the charts: a radial **transition map** (all pages from `/_api/pages` — front page at the center, each slug level on its own ring, siblings clockwise in navigation order from the top, radial gap equal to the arc spacing — opposite transition directions joined into organic tapered connections whose middle width is the total count over the full recorded timescale; internal navigation only for now), per-page view counts, the top transitions and the 50 most recent visit trails. Data comes from `GET /_api/analytics`, which returns the raw JSON file contents.