Chat: Firewatch Camera Grid Start (Firewatch Camera Grid)

**Chat log** from Bead: Firewatch Camera Grid · [canonical source](https://redfish.acequia.io/guerin/.agents/65783732-7907-4a36-983a-3b015e75e80b/2026-06-13/chats/2026-06-13-firewatch-camera-grid-start.md) · session 2026-06-13 · discussion: Talk: Firewatch Camera Grid *Verbatim chat log: immutable provenance. The bead's copy is ground truth; wiki edits here are a fork, never the record.*

Verbatim user prompts in order; assistant turns summarized. Written incrementally.

**[founding request — arrived while toggling `/model`, captured here as the bead's charter]:** > start-bead firewatch-camera-grid where we will fork santafe.live catalog manager where we set 2D space and time of an image. with the alertwildfire cameras at https://simtable.acequia.io/incidents/2026-CA-SandyFire/ops-alertcalifornia/ lets manage zoom the timeline to the extent of the imagery date-times. deploy the artifact in your bead and use git devops > > basically we'll have grid and 3d map view. use the telemetry jsons to get the ptz information in a sidecar for each image. (is that what you would recommend?). eg if we later bring in oriented imagery standard in STAC i suspect we want to go sidecar. ask me questions before making a plan

**User:** > yes execute the start-bead request. first any questions or suggestions. do you see where we're going ultimately in managing catalogs **User (after S2, correcting the grid model):** > oh i was thinking they would be a grid of cameras with their frame changing by time Assistant: **important model correction.** I'd been treating the grid as one camera's many frames; Stephen means the grid is a wall of **cameras** (one tile per camera) where **scrubbing the timeline swaps each tile to that camera's frame nearest the playhead** — a synchronized, time-scrubbable camera wall — and the grid⇄geo morph flies the camera tiles to their fixed map positions (posed by az). This is the incident-viewer's nearest-frame-to-playhead billboard logic, as a grid. Data reality checked: 30 Sandy cameras positioned (all `view:azimuth`), but only **15801** has an archived frame timelapse locally — so a true multi-camera scrubbing wall needs more archives (via AlertCalifornia `getCameraTimelapse`, the #wildfire-imagery-acquisition lane). The per-camera `frames-<camId>.json` bundle (S2) is the right unit — one bundle per tile. Asked Stephen how to populate the wall + scope (Sandy archive vs broader network) before adjusting the plan. Notes 00/01 + WORK-QUEUE to be corrected from "grid of frames" to "grid of cameras × time" once settled. **User (extending the model):** > and the design opportunity is playing with cameras, and "frame set" collections. also when we get to phones, we'll have image-sets with front and back-facing cameras Assistant: generalizes the primitive. The first-class objects are **cameras/sources** and **"frame set" collections** — not lone images. A frame-set = a time-ordered collection of one camera's frames (a timelapse), and (for phones) an **image-set** = multiple sensors captured together at one moment (front + back facing, opposite headings, each posed). So: source → frame-set/image-set (Collection) → frame (posed Item). Maps directly onto STAC (Collection of Items) + oriented imagery, and onto the grid: a tile is a camera/source, scrubbing picks the frame(s) at t, and "add to STAC" promotes a frame-set or a bound-selection to a Collection. "Playing with cameras + frame-sets" = the grouping/curation UX (group, split, collect, compare front/back). Captured for the model; folding into notes once the populate/scope question is answered. **User (extending further):** > on which the STAC bind to URI will establish access and authorization pathways Assistant: closes the arc into the ecology's governance frame. Binding a frame-set/Collection (or Item) to a **URI** is not just addressing — per downstream-pattern it is simultaneously devops + governance + ACL + attribution + ledger, and per the acequia auth model the URI is where **access + authorization** live (capability/chain tokens, `read:anonymous` sidecars, scoped `writePaths`, `/auth/*` mesh). So the catalog manager isn't just placing imagery in space+time+pose — *managing catalogs = managing the access/authz pathways* that the URI bindings establish: who may view a camera's frame-set, who may contribute frames (a phone parciante PUTting an image-set into a collection's dock), attribution flowing back up the bind (advanced wave). The pose **sidecar** + the **frame-set Collection** + the **URI binding (with its auth sidecars)** are the three layers. Captured in note 02. Still pending: the concrete S3 populate/scope decision (only 15801 has archived frames). **User (engineering directive):** > the whole point of RTE will be 99.9999% or queried pixels from images (not even the whole image) will be remote. so use qualified urls not relative Assistant: RTE = realtime.earth — the catalog is a **thin index over remote pixels**; ~all data (down to sub-image / tile / pixel queries, not whole images) lives elsewhere and is fetched on demand. **Hard rule: qualified absolute URLs everywhere, never relative.** The forked santafe app uses relative `./imageMeta`/`./imagePose`/`./thumbnails` — those must become absolute canonical URIs. My `frames-<camId>.json` already uses absolute frame URLs (good). Implications: the manager is a remote-first VIEW (no local data co-location, no deploying 666 jpgs/thumbnails next to the app — the grid pulls frames straight from their `simtable.acequia.io` URLs); aligns with feedback_bead-links-absolute-urls and the URI-binding/authz layer (absolute URL = the bound URI that carries access). Folded into note 02 as the remote-first / qualified-URL rule. **User (correcting my local-archive blindspot):** > didn't i say go off the online source! 99% of imager will be from across the network! > [+] no i mean look on the https://simtable.acequia.io/incidents/2026-CA-SandyFire/ops-alertcalifornia/. all 10 of those cameras have imagery! Assistant: my "only 15801 archived" was from the incomplete LOCAL mirror. PROPFIND on the **online** dir → **10 cameras**, all with telemetry + frames: 15801 South_Mountain_East_1, 15830 Las_Virgenes_1, 1886 Castro_Peak_1, 1887 Castro_Peak_2, 1934 Decker_2, 2220 Oat_Mtn_South_2, 2335 Saddle_Peak_1, 2456 Topanga_Canyon_2, 2763 Topanga_Peak_1, 2764 Topanga_Peak_2. Positions/az from the **STAC cameras collection** (all 10 present, SoCal coords) — NOT `getCameraDataByLoc.locs` (id-space collision: locs id 1886 = an Oregon cam). **Co-located pairs** Castro Peak (1886/1887) + Topanga Peak (2763/2764) = the multi-camera-at-a-site / image-set case, live in the data. So the wall = 10 tiles fed from the online source; app fetches a thin camera manifest + per-cam telemetry + lazy frame pixels, all qualified URLs. Building the wall index next.

**User (go-ahead for S3b + a design note):** > yes go ahead. also make a note that the actual processing of partially structured sources need evaluation and script composition by ai with the queries executed by the browser or os process instead of cloud. and then reifying some of the repeatable workflow with stable data sources. That's part of a "active cataloger" vs a catalog management (which is boring. eg look at this STAC browser which is one level up from being a database cursor https://radiantearth.github.io/stac-browser/#/) Assistant: captured as **note 03 — active cataloger vs (boring) catalog management**. The active cataloger evaluates partially-structured sources + composes extraction scripts on the fly, executes them **edge-side (browser/OS, not cloud)** against qualified remote URLs, and **reifies repeatable workflows as skills** once the source is stable — vs STAC Browser, a passive cursor one level up from a DB cursor. The S2 derive skill is already an instance of this loop. Then proceeded to build S3b (the scrubbing camera wall). **User (after S3b shipped + a scrubber-coalescing Q):** asked whether the scrubber stacks queries or does last-event. Assistant: not an unbounded backlog (img.src replacement aborts superseded loads → last-frame-per-tile wins), but not coalesced either (per-event updateWall + canvas redraw, request churn); clean fix = rAF-coalesce + LRU/prefetch; queued for S4. **User (brainstorm request, sharing the live daytime wall screenshot):** > transition … take a pause on task and think creatively of the visualization affordances of what's in this config and what will be in the 3D. I have ideas what to add … brainstorm 3 orthogonal ideas Assistant: 3 orthogonal axes (note 04) — SPACE (cross-bearing geolocation), TIME (change/detection), ATTENTION (salience layout). **User (sharp correction):** > detection is NOT the problem. that's what amateurs think Assistant: conceded — dropped the detection axis. Reframed "the problem" (post-detection, over an ocean of posed pixels) as **measure / retrieve / verify**: georeferenced measurement (ROS, plume-height→intensity), the catalog as a spatiotemporal-**pose** query engine (retrieval+fusion, the RTE/active-cataloger thesis), and projection↔verification (drape the model into the posed view, human confirms/corrects → corrections flow back). Recorded in note 04 correction. Still probing for Stephen's specific add. **User (the real roadmap — measure/verify made concrete):** > we have a prior of camera pose. we know the fov based on the Z value [transfer fn 0–40 → 62.5°…2.5° hFOV]. we first want calibration sidecars for Pan Tilt correction based on alt/az to known stars (RA/DEC→alt/az from lat/long/time) or 3D geopoints with expected phi/theta. then basic surface rate of spread and 3D plume photogrammetry — optical flow, SIFT, BRIEF, FFT for correspondence/depth. low-hanging fruit = fitting a fluid-dynamics smoke model (taosengine.com/samples/fluid_test.html); also sparse photosampling + object inference → 3DGS (taosengine.com/samples/). > [+] plus relevant operating picture letting people scrub time with their data in (augmentation) and generating gis by "annotation" of an image (point, polyline, polygon, and raster painting) Assistant: captured the full pipeline in **note 05** — pose prior + FOV(zoom) transfer fn → **[1] calibration sidecars** (star-match on the night frames = nearly free, since the wall opens at night + we have per-frame UTC + cam lat/lon; or known geopoints) → **[2] surface ROS** (DEM ray-cast front tracking) → **[2.5] annotation→GIS** (draw point/polyline/polygon/raster on a calibrated frame → back-project to georeferenced features; the detection-free measurement front-end) + **COP augmentation** (scrub time with BYO data, access via bind-to-URI authz) → **[3] plume** (fluid-sim fit = low-hanging vs sparse→3DGS, using the SPREAD cams since the co-located pairs give zero baseline). Calibration gates everything (cf. the FMV attitude bug). Proposing we start at calibration sidecars. **User (TTL question):** "whats the ttl for these cached images coming from simtable.acequia.io" → Assistant: checked headers — `Cache-Control: private, no-cache`, no max-age/Expires, ETag+Last-Modified (304 on reuse), no CDN; TTL≈0, revalidation round-trip per reuse; frames immutable so it's a mislabel. Fix: in-memory LRU and/or SW cache and/or origin `immutable`. **User:** "service worker could rewrite that, right?" → Assistant: yes — Cache Storage ignores Cache-Control (SW-as-cache, cache-first); cross-origin in-scope; CORS* non-opaque; immutable→cache-first w/ LRU cap; persistent cross-tab; = the Acequia-CDN / browser-as-CDN layer. Captured note 06. **User:** "write note and todo on the sw cache. In meantime comment on the 3d plume photogrammetry" → Assistant: wrote note 06 + S4-cache todo. Plume comment: smoke is a VOLUME not a surface (SIFT/BRIEF weak on it; right for the ground); stage = visual-hull/silhouette space-carving (height→intensity, lean→wind, no ML) → fluid-model fit (physics prior regularizes sparse views; animatable/predictive) → 3DGS for the static scene only; caveats (co-located=no baseline, frames minutes-apart/unsynced, grazing geometry → deliver scalars not a crisp voxel); unifying analysis-by-synthesis spine (render hypothesis, minimize image residual) with TaosEngine as the forward-renderer. Folded into note 05 §3. **User (the integration ask + cloud-sculpting vision):** > actually make a plan to bring these cameras into incident-viewer. i have an intuition of being at the center of the cameras where they are pointing and looking where pixel values are frame-differencing the most, and tying them with the others to establish depth. and "airbrushing" point cloud densities for the projective textures. basically cloud sculpting… > [+] my airbrush is both a volume maker in the silhouettes and volume erase in the inverse silhouette

Assistant: wrote **plan-cameras-into-incident-viewer.md**. The airbrush = **space carving as a dual brush**: MAKER inside the silhouette (add density along rays where a camera sees smoke), ERASER in the inverse silhouette (carve where a camera sees clear/see-through) — the eraser makes sparse-view tractable (any clear ray deletes a swath of false volume). Frame-diff = the silhouette; projective textures = color, carving = form; manual paint = the same brush (= annotation→GIS raster-paint in 3D). Phases A (10 posed billboards + projectors, reuse camFrames+FMV Projector) → B (frame-diff saliency) → C (dual-airbrush carve → colored density) → D (vantage at the convergence centroid + sculpt UX). Cross-bead: ships land in the incident-viewer repo/bead cbf8b027. Awaiting go. **User (new source + download ask):** > note all these 1 to 8 hour news copter footage too. eg 1 hour [FB Live URL]. can you download? Assistant: noted news-copter footage as a source (note 05 "Other source") — it's **moving aerial FMV WITHOUT telemetry** ⇒ pose-recovery via SfM/landmark-cal; and a moving platform = **continuous baseline = the best photogrammetry source we have** (prime feed for the plume/terrain reconstruction once posed). Download: YES feasible — probed with yt-dlp (2026.03.17, +ffmpeg, both present), the FB Live is **public** (no login), formats up to 1280×720 (~549 MB/1 h), 360p ~150 MB, 144p ~30 MB. Offered to pull it (which quality? → to Downloads, NOT the bead — large media externalized; record attribution/source URL). Awaiting which quality + go. **User:** "and it might be visibile in camera and historical adsb" → Assistant: the copter is its own beacon — **historical ADS-B** (ADSBExchange/OpenSky) gives its lat/lon/alt/track per second = the camera **position** prior directly (the hard part of telemetry-less pose; SfM then only recovers gimbal orientation); **copter-in-a-fixed-camera** = a moving known-position target that cross-validates fixed-cam calibration + refines copter position + **syncs the news-footage clock to the fixed-cam clock**. Multi-source mutual constraint (ADS-B ↔ footage ↔ fixed cams ↔ landmarks). Anchor the ADS-B query with the video's timestamp (yt-dlp metadata) + fire lat/lon. Captured note 05. **User:** "can you pull down the facebook dash video" → Assistant: downloaded 720p to `Downloads/news-copter-sandy-1627099769423766.mp4` (578 MB, 1280×720 h264 30fps, 59:08). Metadata: **ABC7 Chicago, "Sandy Fire in Simi Valley," stream start 2026-05-19T13:05:45Z** → window ≈13:05–14:05Z, which is **INSIDE the fixed-camera wall extent** (overlap ⇒ moving aerial + 10 fixed cams on the same fire at once). ADS-B query pinned: Simi Valley ~34.27,−118.78 @ 2026-05-19 13:00–14:10Z. Provenance recorded note 05 (video externalized in Downloads, not the bead). **User (next direction):** "yes get all the aircraft esp the squak for firefighting 1215(?)" → Assistant: corrected to **squawk 1255** (firefighting; 1200=VFR). Probed sources: historical is credential-gated — OpenSky anon 403 "cannot access historical flights", ADSBExchange 402 (paid), live-only endpoints work. → "i don't mind setting up an account and giving you an API key. we will do this often" → recommended OpenSky (free) / ADSBExchange (paid, unfiltered fire/mil) + reusable skill plan. **User:** "actually i have flightradar24" [API docs link] → docs page is a JS SPA (no fetch content). → "move this to your bead: Downloads/Flightradar24-API.yaml" + "i definitely need 1255 and military sometimes". Assistant: moved the YAML → `artifacts/Flightradar24-API.yaml` (OpenAPI 3.1). **FR24 meets both needs in one source:** historic `/api/historic/flight-positions/*` (back to 2016 ✓), `Bounds` bbox, **`Squawks`=1255** ✓, **`Categories`=M (MILITARY_AND_GOVERNMENT) ✓** + H (helicopters), `/api/flight-tracks` → trajectory = camera-position prior. Auth `Bearer <token>` + `Accept-Version: v1`, credit-metered (`/api/usage`). Source decision + skill plan recorded note 05. Need: the FR24 token → `.credentials/flightradar24-api-token.txt`, then build `pull-historical-adsb` (FR24) + run the Sandy window. **User:** "i am gold subscriber but i need to upgrade for api. how much is adsb and how far back does it go" (+ FR24 pricing screenshot: Explorer $9/30-day/60k, Essential $90/2-yr/666k, Advanced $900/all/8.1M). Assistant: flagged **Sandy=25 days ago → fits Explorer's 30-day window if subscribed within ~5 days**; ADSBExchange = $10 RapidAPI live-only, historical is enterprise (10 yr, $$$). Rec: FR24 Essential for ongoing. **User:** "look online there was a splinter group from adsbexchange that was open too. check for them as alternative history. I also don't mind just downloading and helping to host data." Assistant: the post-JetNet-sale open forks = **adsb.lol** (+ adsb.fi, airplanes.live), all unfiltered. **adsb.lol `globe_history` = free, ODbL, self-hostable daily historical** (GitHub `adsblol/globe_history_2026`, ~1.5–3 GB/day split-tar of per-aircraft JSON.gz readsb traces, no key, covers 2026 ⇒ Sandy=`v2026.05.19-planes-readsb-prod-0`). **Source strategy: adsb.lol PRIMARY (free/open/host/unfiltered), FR24 paid FALLBACK (denser low-alt coverage).** Recorded note 05. Offered to download the 2026-05-19 day + filter to the Sandy bbox/window for 1255+military+heli, then self-host the subset.

**User:** "is this the sky 7. A550 AIRBUS H125?" (FR24 playback screenshot: AS50/H125, 3,400 ft, orbiting Bell Canyon 13:17:57Z, reg N/A). Assistant: AS350=H125 confirmed; right type/place/time (classic ENG orbit) but operator unconfirmable (reg blocked; SKY7=ABC7-SF, ABC7-LA=AIR7, feed was ABC7-Chicago re-air) — proposed adsb.lol unfiltered archive to de-blur. **User: "yes"**. **Assistant: ran the pull (DONE).** Built `pull-adsblol-history.py` (stream-filter the daily tar), downloaded `v2026.05.19` (3.37 GB), filtered bbox `34.05,-119.10,34.40,-118.45` 12:00–16:00Z → 66,632 scanned, **261 in bbox**. **RESULT (note 08):** the FR24 mystery ship = **N828AP, AS350, Helinet Aviation** (LA news-heli operator) — alt **3,400 ft @ 13:17:57Z exact match**; 1,687-pt orbit = the camera-position prior. Firefighting (1255): **N429DF** OV-10 air-attack, **T73** S-2 tanker, **N261CG** S-61 helitanker (CAL FIRE/USFS). Military: **LOST42** C-12, **UH-60**. adsb.lol de-blurred the FR24-hidden registrations; pipeline validated end-to-end. Reified skill `pull-adsblol-history.{py,md}`; outputs in `artifacts/adsb-sandy/`. Raw 3.37 GB day = scratch (re-downloadable). **User:** "do we have the flights of the 3 sensor flights for which we already have video?" Assistant: the 3 MISB sensor aircraft = N57B (Palisades, KLV), N328SF (Palisades, **pose=none**), N42Z (Sandy, KLV); their clip times are all outside the 05-19 12–16Z pull. Re-filtered the existing 05-19 day FULL-day (free) → 1302 in bbox, **N42Z NOT present** → the ISR sensor isn't broadcasting ADS-B (full-day did surface heavy military: ROMA31 B767, C-130s/MAFFS?, E-2s, C-5M, V-22, US-Army GLEX AXEL21). Conclusion: ADS-B = news/fire/mil, not the FMV sensor platforms; N328SF would need SfM/landmark pose, not ADS-B. Other sensor days (05-18, Jan-2025) pullable but same caveat. **User:** "give a handoff to new session. we are about to compress." Assistant: wrote **note 09 (HANDOFF)** + pointed STATE.md at it; flushed this chat log; synced the bead. Handoff covers: live app, the adsb.lol pipeline + result, the design notes map (02–09), the 3-sensor-flight finding, queued epics (cameras→viewer cloud-sculpting, calibration, measurement, S3c/S4-cache), sources/creds, and conventions/gotchas. **User:** "see how much you can do on incident-viewer before compression to get the awf cameras in there and the AIR7." Assistant: shipped BOTH, live in the incident-viewer (cross-bead, cbf8b027): 1. **AIR7** (`f803621`, deployed chunk uYZKXpM6) — N828AP/Helinet orbit (air7-track.json) → magenta path + master-clock marker, Sandy-only; live-verified (markerAtPlayhead @13:17:57Z). `__misb.air7()`. 2. **AWF cameras → all 10 posed billboards** — enriched the 9 Sandy cam STAC items at simtable (additive `timelapse:frames_base` + telemetry assets, from cameras-sandy.json, mirroring 15801) → the existing `camFramesFeature` now renders 10 billboards scrubbing on the master clock; **zero viewer code**. Verified live: `camFrames()`=10 cards (499–672 frames each). Shot `artifacts/viewer-awf-cams-and-air7.png`. Logged in cbf8b027; both beads synced.

**[earlier turn]** Assistant: scaffolded this bead (about/agent/agent.json/keywords/names/README + chat log + design note). Discovery before questions: confirmed **santafe.live IS the catalog manager** ("Image Cache Manager" — Leaflet + canvas timeline + thumbnail grid + map, with per-image `imageMeta/<id>.json` [identity+time] and `imagePose/<id>.json` [`{Latitude,Longitude,Elevation,heading,pitch,roll,fov,fovy,far}`] sidecars). The `imagePose` schema is **already an oriented-imagery pose**. Confirmed the AlertWildfire source: per-camera `telemetry-<id>-<unix>.json` (`frames[]` with `camAzimuth/camElevation/camZoom/camViewWidth/ts/filename`) + `getCameraDataByLoc.json` (cam lat/lon). Recommendation, vision, and open questions captured in [notes/00-design-questions-and-vision.md](../notes/00-design-questions-and-vision.md). Planning gated on Stephen's answers.

**[new session — incident-viewer-epic-3]** **User:** "bead-mount firewatch-camera-grid (write target) + incident-viewer-taos-engine-app (cbf8b027). Read bead-bind-startup.md then 09-handoff.md FIRST. … Start with the top TODOs: (1) roster-select → current item so H flies the map camera to any selected item + recenters timeline/map (today only FMV rows set currentClip); (2) fix the default Sandy view to frame the AWF cameras + AIR7 orbit. … every ship = commit + deploy + CDP verify + log line." **Assistant: TODO 1 (roster select → focus) DONE + deployed + verified.** Generalized `selectItem` (index.ts): a non-FMV row (camera/perimeter/imagery/progression) now computes the item centroid (`itemCentroid`: bbox center / averaged geometry) → `selectedTarget`, recenters the timeline to the item's time (cameras exempt — standing items spanning the whole timelapse), and flies the map camera to its overview (`camFlyToGeo`, mirrors `camFlyToFootprint`'s framing). `H` rewired to `focusSelected` = re-fly to the selected item, or ride the FMV sensor pose (sensor-lock) when an FMV clip is current. `__misb.selectedTarget`/`sensorLock` exposed. Commit `6afbad4`; built (chunk `Dd_uZGp6`), deployed to `redfish.acequia.io/guerin/apps/incident-viewer/` (PUT chunk 201 + index.html 204 + DELETE old `uYZKXpM6` 204; live index→new chunk 200, contains `selectedTarget`). CDP pixel-verified on the exact deployed bytes (local dist :8123): camera select → `selectedTarget={-118.5788,34.1238}` + camera flew to frame the Topanga marker; perimeter select → timeline recentered to Sandy `2026-05-19` + perimeter polygon framed; FMV select → `selectedTarget=null` + clip switched. Logged to `cbf8b027`. Next: TODO 2 (default Sandy framing to fit AWF cams + AIR7). **Assistant: TODO 2 (default Sandy framing) DONE + deployed + verified.** The AWF camera billboards + AIR7 orbit rendered but sat off-screen from the FMV-footprint default view. Added a **fit-all overview** (`gatherIncidentEcef` = footprint + every visible AWF camera anchor + the AIR7 orbit; `frameEcefPoints` = bounding-sphere fit to the 60° vfov × 1.3 margin, slight north tilt; `fitAll`). Switching to Sandy **defers one auto-fit** until the async cameras (+ AIR7, ≤3 s grace) land — cancelled if the user takes the camera first (`userCamInput`). Added a manual **Fit-all control**: ⛶ topbar button + `G` key. Commit `c24b3f5`; built (chunk `BYwoFvin`), deployed (PUT 201/204 + DELETE old `Dd_uZGp6` 204; live index→new chunk, contains `fitAll`/`sandyFitPending`; server `air7-track.json` 200). CDP-verified by **projecting every camera to NDC**: after the Sandy auto-fit, **30/30 cameras land inside the viewport** (vs off-screen before), `fitPoints=76` with AIR7 loaded (1687 pts); shot `tools/_e3-sandy-autofit-air7.png`. Caveat surfaced: `air7-track.json` lives at the repo root + server (manual PUT), not `public/` → a clean dist redeploy wouldn't carry it (follow-up: move to `public/`). Both TODOs shipped; closing the chat + syncing the bead. **User:** "think more distributed domain use for the app. do not deploy data wrapped up with app (model-view-controller). you were junior programmer on that decision. tell me now as not just software architect but system architect, what should the path of that data be" Assistant: corrected the `air7-track.json` → `public/` move as a model-leaked-into-view/controller mistake. System-architect answer: the AIR7 orbit is **incident data**, home = the incident catalog at a **qualified absolute URL** (`simtable.acequia.io/incidents/stac/2026SandyFire/tracks/…`), served from a logical URI the namespace routes to any node (simtable/local/peer/SW-cache) — app holds only the URL. Why: RTE remote-first invariant (the relative `./air7-track.json` fetch already violates it); one logical URI, many serving nodes (namespace-as-primitive, bind-mount), not forked per app-deploy; independent data/app lifecycles; provenance+ODbL-attribution+authz travel with the catalog item, not a loose blob. Win: generalize the renderer to discover tracks from the catalog → the whole aircraft-traffic layer from the same pull (OV-10, tankers, military) binds for free; AIR7 stops being special. Flow: bead artifact (born/proven) → offered → bound (owner-mediated) into the incident catalog (published/addressed). **User:** "note a bead seak the incident-viewer or user with incident-viewer may seek bind-to-typeSTAC ask type-set-here (bind self)" + "beads have link-sets" Assistant: wrote **note 10 — bind-to-type is negotiated and self-declared, not reified.** The deeper correction beyond "make it a STAC item": don't reify the TYPE either. A consumer of the viewer — a **bead** (agent) OR a **human user** (symmetric) — **seeks `bind-to-type:STAC`**; at the bind point the resource is asked its type-set, declares it **here** inline, and **binds self** (OPTIONS/PROPFIND/content-neg/HATEOAS; geo.camera `supportedCapabilities.json` precedent). STAC = one type-set the incident node offers, not its essence; per-caller tailoring (Plan-9). And: **the type-set IS the bead's link-set** — beads have link-sets; "ask type-set here" = the bead presents its link-set, bind-to-type = traverse the link of the type sought; HATEOAS/`links[]` = the frozen projection of the live link-set (polarized-links: the link topology IS the wire network). Dissolves "where's the manifest" — there's no manifest, there's a link-set. Consequences: retire the hardcoded `loadAir7()`/relative-path/Sandy-`if`; the viewer negotiates a STAC binding of the incident node it's pointed at and renders whatever track resources are bound; the app requests a type, never declares one.

**User:** "this bead is epic 3 development of incident viewer. beads ducktype as turtles (netlogo, agentscript). links are type:agent with end1 and end2" Assistant: recorded the thread identity (this bead's epic-3 = incident-viewer dev) + extended note 10 with the **agent model**: beads **ducktype as turtles** (NetLogo/AgentScript — the agentscript substrate IS the bead agent model, not analogy); **links are `type:agent` with `end1`/`end2`** (NetLogo's link primitive — a link is a first-class agent with state/behavior/lifecycle/URI, not an edge). So a bead's **link-set is a link-agentset**: each link = a link-agent with `end1=`this bead, `end2=`the bound resource → directional ⇒ **polarized** (polarized-links). HATEOAS `links[]` = frozen census of the live link-agentset. **`bind-to-type` = spawn/traverse a link-agent of the sought type between end1 (caller, bead or human) and end2 (resource); `bind self` = present the link-agentset.** Literal reading of Hubler self-assembling-wires: turtle-beads = bearings, **link-agents = the wires**. The incident-viewer is a turtle walking the incident node's link-agentset, binding the track/camera/perimeter links it needs. Updated STATE; bead synced. **User:** "did you deploy air7? can i run incident-viewer. keep a reference to the bead-version and have that in the gear settings" Assistant: (1) **AIR7** — not re-deployed this session; it was deployed last session (data `air7-track.json` via manual PUT + code chunk `uYZKXpM6`). Both this session's chunks still load it from the server-side `air7-track.json` (live 200) and include `air7Feature` + the new fit-all that frames the orbit → AIR7 IS live on the deployed viewer (pixel-verified locally; deployed verified by-logic since the app sits behind ambient auth). (2) **Run it** — deployed `https://redfish.acequia.io/guerin/apps/incident-viewer/` (in-browser w/ acequia session); local `npm run dev` (:5174) or `npm run build` + serve `dist/`. (3) **Bead-version in gear — SHIPPED** (`85b6151`, chunk `DtKUzCak`): `vite.config.ts` injects `__BUILD__` (git short-commit + `%cs` date, read from this repo) via `define`; gear settings footer = `incident-viewer · <commit> · <date> · bead cbf8b027 ↗` linking the viewer's source bead. `-uno` dirty check; `*`=dirty tracked source; `__misb.build`. CDP gear-footer pixel-verified, deployed live (old chunk 404). Logged to cbf8b027 + here. **User:** "when i click on virgenes camera, and hit H, it zooms above it and looks down instead of through the image. I see the image frustum down there so that must be ok" Assistant: real flaw in the roster-focus feature — H on a camera did the generic overview-from-above (look down), not the camera analog of FMV sensor-lock (stand at the camera, look through it). **Fixed + shipped** (`cd83812`, chunk `B8mznYAN`): added `camFlyThrough` — eye AT the camera ground point (DEM +12 m), aimed down its azimuth at the real terrain 6 km out (great-circle bearing + `geo.heightAt` DEM sample, so a peak camera looks into the valley / up at a facing ridge). Azimuth = the nearest timelapse frame's az (`cameraAzNow`, matches the rendered billboard), fallback `view:azimuth`. `selectedTarget` now carries `camId`+`az`; select still flies the overview to LOCATE the camera, H looks THROUGH it. CDP-verified on Las Virgenes: select→overview (pitch 80°, eye −4982 m) then H→through (pitch ~1° horizontal, eye −435 m at the camera) with the timelapse billboard + frustum wedge framed. Deployed live (old `DtKUzCak` 404). **User:** "are you done" **Assistant:** Both top TODOs are done + live. Discovered a PARALLEL session had converged on the same two tasks: HEAD already held its roster-focus (`6afbad4`), fit-all (`c24b3f5`), gear-stamp (`85b6151`), and a reworked **H = "look THROUGH the camera"** (`cd83812`, `camFlyThrough`: stand at the cam, aim down its azimuth at the terrain ~6 km out — the camera analog of FMV sensor-lock), and had already deployed (chunk `B8mznYAN`). My independent implementation matched theirs; the net new contribution merged as **one line** (commit `b4ddd1c`): prefetch the AIR7 orbit (`void loadAir7()`) at the Sandy switch so the deferred default-view auto-fit reliably includes it (otherwise air7's fetch can land after the ~3 s grace and be excluded). Built `C50Gh_Jo`, deployed (PUT 201 + index 204 + DELETE `B8mznYAN` 204; live→`C50Gh_Jo`, air7-track.json 200). CDP-verified on the deployed bytes: default Sandy view auto-fits **30/30 cameras + the AIR7 orbit in-viewport** (NDC-projected; fitPoints 76); look-through H verified at Topanga (`_e3-lookthrough.png`). Kept the parallel session's richer look-through design (superseding my earlier solo "fly-to-overview" deploy `Dd_uZGp6`); HEAD is unified, no conflict. Logged to `cbf8b027`. **User:** "I have a different event which that is an abstraction from incident. give me a uri that would open incident-viewer with this STAC https://redfish.acequia.io/people/owen-duncan/events/clouds-2026-06-13/catalog.json ... we will want do the same sending a catalog that has both sandy and palisades fire. those catalogs should not deploy with incident-viewer; store their catalogs in simtable.acequia.io/incidents/ folder. on startup turn off all items. as user turns on items, save to localstorage the view configuration"

**Assistant:** Built the "incident → event" generalization (commit `33ffb45`, deployed `BbHZ1vGR`). The clouds catalog = root→collection→posed iPhone stills (`msb:` pose, no FMV) — the viewer was FMV-centric + expected root→incident→collection→item, so three changes: **`?stac=`/`?catalog=`** root override; **shape-flexible walkStac** (per-child Catalog-vs-Collection classify → single-event catalogs AND multi-incident catalogs both load); **non-FMV-event tolerance** (no clips → currentClip inert, timeline from item datetimes, clock parked + items framed, footprint-aim skipped). Plus **startup all-items-OFF** + **per-catalog localStorage** visible-whitelist (save on toggle, restore on load). CDP-verified default catalog unchanged + all-off + persist; a local 2-level event loads/lists/frames/persists with no FMV + no crash; real clouds items have Point geom (Santa Fe foothills) + datetime. **URI:** `https://redfish.acequia.io/guerin/apps/incident-viewer/?stac=https://redfish.acequia.io/people/owen-duncan/events/clouds-2026-06-13/catalog.json`. Flagged: (a) all-off is GLOBAL (default catalog too) — easy to scope to custom `?stac=` if preferred; (b) the posed stills LIST + persist but aren't rendered as 3D billboards yet (next arc, mirrors the AWF-camera work); (c) storing future multi-incident catalogs under `simtable.acequia.io/incidents/` noted — no deploy-with-viewer. **User:** "i want to deploy incident-viewer as the index.html on santafe.live. there is currently a first version of a STAC manager there already. rename that STAC-manager.html before deploying index.html there. the two apps will eventually merge. create a STAC for the data that is in santafe.live. and make that a querystring that can be loaded." **Assistant:** Done + live. (1) Wrote bead skill `derive-stac-from-image-cache.mjs` → built a STAC from santafe's `imageMeta`+`imagePose` (root→collection→59 items; 11 geolocated, 7 dated 1895–2025; image asset=in-place guerin URL, thumbnail=santafe.live) → `santafe.live/stac/`. (2) WebDAV-MOVE'd `index.html`→`STAC-manager.html` (manager still works). (3) Deployed the viewer as `santafe.live/index.html` (+ chunk). Hit a real gotcha: **`/sw.js` is a reserved acequia-platform path** (serves the platform SW, overrode my PUT) so the viewer's token-SW couldn't deploy → engine tile-workers couldn't auth `/taos/assets/*` → no terrain. Fixed by deploying the SW as **`iv-sw.js`** + patching the deployed index.html to register it (redfish `/taos` already sends `ACAO:*`, so the engine loads cross-origin). CDP-verified live as an anonymous visitor: **`https://santafe.live/?stac=https://santafe.live/stac/catalog.json`** → "Santa Fe Live", 59 items (all-off), terrain renders; `STAC-manager.html` still serves the Image Cache Manager. Flagged: the canonical viewer repo still registers `./sw.js` (fine on redfish, breaks on acequia origins → durable fix = rename SW in-repo, recommended); posed stills still list/frame but don't draw as billboards yet (next arc). **User:** [screenshot of H into Las_Virgenes] "when i 'h' into virgenes, its in the top half of the screen. also, it doesnt respond to H or i or opacity. it doesn't seem like the current selected camera." + "STAC-manager will add the ability to set heading and height [above] ground or ellipsoid (sea-level). for now render the images assuming 0 tilt heading north. recommend default horizFOV. 50-degrees?" **Assistant:** Fixed + deployed (commit `bcdc3ca`, chunk `5Aynszvl`, BOTH redfish + santafe). The old `camFlyThrough` was a one-shot fly aimed 6 km past the billboard (which floated 90 m up) → image in the top half, controls untouched. Replaced with a held **`camLock`** (the camera analog of FMV sensor-lock): H locks the view at the camera looking along its heading with the image plane's fov so the image FILLS the screen; **i** toggles it, **Opacity** fades it, **H** releases. Rendering model per your note (until the STAC-manager sets real heading/height): each image = a **0-tilt vertical plane**, heading = the camera's known azimuth else **north**, sized to a **default 50° hfov** (confirmed — good for AlertWildfire/phone; it's a one-line constant the STAC-manager can later drive per-image). Plane at 100 m/+30 m so terrain rarely occludes. CDP-verified on Las_Virgenes: fills cleanly, i/opacity/H all respond. Caveat: a world-anchored plane can still be occluded on extreme terrain — a fully-robust version would lock the image to the view like the FMV cap (future). Used az-when-known + north-default; say the word if you'd rather force north for everything until the STAC-manager lands.