fix: pre-import heavy ML modules on main thread; bump footer to v0.4.5

Two fixes spotted on the live PS 188 query:

web/main.py
Beef up the startup pre-import block that exists "so the parallel-
fanout workers don't race each other on first import" (per
CLAUDE.md "known sharp edges").

Previously the startup imported terratorch + tsfm_public top-level
only. That left transformers' lazy `PreTrainedModel` getter, the
tsfm_public.toolkit.get_model chain, and every specialist's own
module-level deps probe to be exercised in FSM worker threads —
which races the lazy-import system and surfaces as
ModuleNotFoundError("Could not import module 'PreTrainedModel'")
or "deps unavailable: tsfm_public" even when both ARE installed.

New pre-import block now also touches:
transformers.PreTrainedModel (resolves the lazy chain)
tsfm_public.TinyTimeMixerForPrediction
tsfm_public.toolkit.get_model.get_model
plus force-imports every specialist module that does heavy ML at
runtime so its module-level _DEPS_OK probe runs on main thread:
app.live.ttm_forecast / ttm_battery_surge / floodnet_forecast
app.context.gliner_extract / terramind_nyc / eo_chip_cache
app.flood_layers.prithvi_live

web/sveltekit/src/lib/components/shell/AppFooter.svelte
Bump the build line from "Riprap v0.4.2 · build 2026-05-03" to
"Riprap v0.4.5 · build 2026-05-05". Cosmetic.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

web/main.py

@@ -213,13 +213,44 @@ def _warm_caches():
                           flush=True)
         except Exception as e:
             print(f"[startup] LLM warm skipped: {e}", flush=True)
-    print("[startup] pre-importing terratorch + tsfm_public...", flush=True)
+    print("[startup] pre-importing terratorch + tsfm_public + transformers...", flush=True)
     try:
         import sklearn  # noqa: F401  prime sklearn first
         import terratorch  # noqa: F401
         import tsfm_public  # noqa: F401
+        # Transformers does lazy-loading via __getattr__; touching
+        # PreTrainedModel forces the lazy-init to complete on the main
+        # thread. Otherwise FSM worker threads race the lazy loader and
+        # surface ModuleNotFoundError("Could not import module
+        # 'PreTrainedModel'") under load.
+        from transformers import PreTrainedModel  # noqa: F401
+        # tsfm_public's TinyTimeMixerForPrediction import path triggers
+        # the granite-tsfm side of the lazy chain — pre-warm here too.
+        from tsfm_public import TinyTimeMixerForPrediction  # noqa: F401
+        from tsfm_public.toolkit.get_model import get_model  # noqa: F401
     except Exception as e:
         print(f"[startup] heavy-EO pre-import skipped: {e}", flush=True)
+    # Force-import every specialist module that does heavy ML at runtime
+    # so its module-level deps probe + lazy transformers chain runs on
+    # the main thread, deterministic order, before any FSM worker fans
+    # out. Modules whose deps genuinely aren't installed will set their
+    # own `_DEPS_OK = False` here and gracefully no-op at request time;
+    # what we're avoiding is the "_DEPS_OK = False because of an import
+    # race" failure mode that fired on the live PS-188 query.
+    for mod_path in (
+        "app.live.ttm_forecast",
+        "app.live.ttm_battery_surge",
+        "app.live.floodnet_forecast",
+        "app.context.gliner_extract",
+        "app.context.terramind_nyc",
+        "app.context.eo_chip_cache",
+        "app.flood_layers.prithvi_live",
+    ):
+        try:
+            __import__(mod_path)
+        except Exception as e:
+            print(f"[startup] {mod_path} pre-import skipped: "
+                  f"{type(e).__name__}: {e}", flush=True)
     # Warm the TerraMind specialist so first per-query call is just
     # the diffusion (~3 s), not model load (~30 s). No-ops if deps
     # are missing on this deployment.

web/sveltekit/build/200.html

@@ -6,16 +6,16 @@
     <meta name="viewport" content="width=device-width, initial-scale=1" />
     <meta name="description" content="Riprap — citation-grounded NYC flood-exposure briefings." />
     <title>Riprap — flood-exposure briefing</title>
-    <link href="/_app/immutable/entry/start.CYeNaam7.js" rel="modulepreload">
-		<link href="/_app/immutable/chunks/B-c32aHK.js" rel="modulepreload">
+    <link href="/_app/immutable/entry/start.DqvzPt28.js" rel="modulepreload">
+		<link href="/_app/immutable/chunks/BNGwht-6.js" rel="modulepreload">
 		<link href="/_app/immutable/chunks/Dr93mMbz.js" rel="modulepreload">
-		<link href="/_app/immutable/entry/app.B9X66oIp.js" rel="modulepreload">
+		<link href="/_app/immutable/entry/app.BJn-ecAC.js" rel="modulepreload">
 		<link href="/_app/immutable/chunks/DM0dVcpA.js" rel="modulepreload">
 		<link href="/_app/immutable/chunks/WYoL_k1G.js" rel="modulepreload">
 		<link href="/_app/immutable/chunks/kFXL_I1K.js" rel="modulepreload">
-		<link href="/_app/immutable/nodes/0.rOAU9Q6r.js" rel="modulepreload">
+		<link href="/_app/immutable/nodes/0.ChgtPNh5.js" rel="modulepreload">
 		<link href="/_app/immutable/chunks/LdqJVpAk.js" rel="modulepreload">
-		<link href="/_app/immutable/chunks/BrsUtjuL.js" rel="modulepreload">
+		<link href="/_app/immutable/chunks/Dxes6K0o.js" rel="modulepreload">
 		<link href="/_app/immutable/chunks/5ANqR9hF.js" rel="modulepreload">
 		
 		<link href="/_app/immutable/assets/0.MHa9rmVP.css" rel="stylesheet">
@@ -24,15 +24,15 @@
     <div style="display: contents">
 			<script>
 				{
-					__sveltekit_if1lnh = {
+					__sveltekit_1yzmf7a = {
 						base: ""
 					};
 
 					const element = document.currentScript.parentElement;
 
 					Promise.all([
-						import("/_app/immutable/entry/start.CYeNaam7.js"),
-						import("/_app/immutable/entry/app.B9X66oIp.js")
+						import("/_app/immutable/entry/start.DqvzPt28.js"),
+						import("/_app/immutable/entry/app.BJn-ecAC.js")
 					]).then(([kit, app]) => {
 						kit.start(app, element);
 					});

web/sveltekit/build/_app/immutable/chunks/B-c32aHK.js

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web/sveltekit/build/_app/immutable/entry/{app.B9X66oIp.js → app.BJn-ecAC.js}

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web/sveltekit/build/_app/immutable/entry/start.DqvzPt28.js

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+      For residents, see <a href="https://www.floodhelpny.org">FloodHelpNY</a> · <a href="https://www.floodnet.nyc">FloodNet NYC</a>.</p> <p class="app-footer-build">All foundation models Apache-2.0 · All data from public-record federal, state, and city sources · No commercial APIs contacted at runtime · Riprap v0.4.5 · build 2026-05-05</p></div></footer>`);function W(t){var r=V();p(t,r)}var $=i('<a href="#region-briefing" class="skip-link">Skip to briefing</a> <a href="#region-map" class="skip-link" style="left: -9999px;">Skip to map</a> <a href="#region-trace" class="skip-link" style="left: -9999px;">Skip to trace</a>',1);function G(t){var r=$();F(4),p(t,r)}var J=i("<!> <!>",1),K=i('<!> <main class="svelte-12qhfyh"><!></main> <!>',1);function oe(t,r){C(r,!0);let b=v(()=>()=>{const e=m.params.queryId;if(!e)return null;try{return decodeURIComponent(e)}catch{return e}}),w=v(()=>m.url.pathname.startsWith("/print/")),f=v(()=>m.url.pathname==="/"),u=v(()=>c(w)||c(f));var l=K(),y=P(l);{var q=e=>{var h=J(),g=P(h);G(g);var A=s(g,2);{let _=v(()=>c(b)());M(A,{get query(){return c(_)},onResetCold:()=>window.location.href="/"})}p(e,h)};k(y,e=>{c(u)||e(q)})}var d=s(y,2),x=o(d);H(x,()=>r.children),n(d);var S=s(d,2);{var a=e=>{W(e)};k(S,e=>{c(u)||e(a)})}p(t,l),I()}export{oe as component,te as universal};

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n=je(),u=c(n);ce(u,l=>E(t,l),()=>d(t)),P(2),o(n),m(e,n),M()}var _e=w(`<section class="land-section svelte-1anw2jf"><div class="land-section-head svelte-1anw2jf"><span class="section-label">What you'll get back</span> <span class="land-section-meta svelte-1anw2jf">A grounded paragraph with citations, not a chatbot answer.</span></div> <div class="land-preview-grid svelte-1anw2jf"><div class="land-preview-pane land-preview-pane-excerpt svelte-1anw2jf"><div class="land-preview-eyebrow svelte-1anw2jf">Briefing excerpt</div> <p class="land-preview-body svelte-1anw2jf">The lot sits inside the FEMA <span class="land-preview-cite svelte-1anw2jf">1% AE flood zone <sup class="svelte-1anw2jf">[c3]</sup></span>,
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web/sveltekit/build/_app/immutable/nodes/{3.CcklbXWP.js → 3.DtHbVj-C.js}

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This is a historical fact, not a model prediction.",docId:"sandy",citeId:"sandy",mapLayer:"sandy"}}function pn(n){const e=C(n.dep);if(!e)return null;const t=[];for(const[r,s]of Object.entries(e)){const d=C(s);if(!d)continue;const o=w(d.depth_class)??0;o<=0||t.push([r.replace("dep_",""),T(d.depth_label)??"—",`class ${o}`])}return t.length?{id:"fsm-dep",stone:"cornerstone",tier:"modeled",variant:"tabular",source:"NYC DEP",agency:"NYC Department of Environmental Protection · Stormwater Flood Maps",vintage:"2021",title:"Stormwater flood scenarios at this address",columns:["scenario","depth label","class"],rows:t,sub:`${t.length} scenario${t.length===1?"":"s"} place this lot in modeled flooding`,docId:"dep_stormwater",citeId:"dep",mapLayer:"stormwater"}:null}function fn(n){const e=C(n.ida_hwm);if(!e)return null;const t=w(e.n_within_radius);if(!t||t<=0)return null;const r=[];return r.push(["count",`${t}`,`${w(e.radius_m)??800} m radius`]),w(e.max_height_above_gnd_ft)!=null&&r.push(["max above gnd",`${e.max_height_above_gnd_ft} ft`,"—"]),w(e.nearest_dist_m)!=null&&r.push(["nearest",T(e.nearest_site)??"HWM",`${e.nearest_dist_m} m`]),{id:"fsm-ida-hwm",stone:"cornerstone",tier:"empirical",variant:"tabular",source:"USGS",agency:"USGS STN Hurricane Ida 2021 high-water marks (Event 312)",vintage:"2021-09",title:"Hurricane Ida 2021 high-water marks nearby",columns:["field","value","context"],rows:r,docId:"ida_hwm",citeId:"ida_hwm",mapLayer:"hwm"}}function mn(n){const e=C(n.prithvi_water);if(!e)return null;const t=w(e.nearest_distance_m);return t==null?null:{id:"fsm-prithvi-water",stone:"cornerstone",tier:"modeled",variant:"raster",source:"Prithvi-EO 2.0",agency:"IBM/NASA Prithvi-EO 2.0 · baked Hurricane Ida 2021 polygons",vintage:"2021-09-02",title:"Hurricane Ida 2021 — satellite-attributable inundation",rasterKind:"prithvi",headline:e.inside_water_polygon?"Inside polygon":`${t} m away`,subhead:"pre/post HLS Sentinel-2 segmentation",sub:`${w(e.n_polygons_within_500m)??0} distinct polygons within 500 m`,docId:"prithvi_water",citeId:"prithvi_water",mapLayer:"prithvi"}}function _n(n){const e=C(n.microtopo);if(!e)return null;const t=w(e.point_elev_m);if(t==null)return null;const r=[{value:`${t.toFixed(1)} m`,label:"elevation"}];return w(e.hand_m)!=null&&r.push({value:`${e.hand_m.toFixed(1)} m`,label:"HAND"}),w(e.twi)!=null&&r.push({value:`${e.twi.toFixed(1)}`,label:"TWI"}),w(e.rel_elev_pct_200m)!=null&&r.push({value:`${e.rel_elev_pct_200m}%`,label:"pct lower 200m"}),{id:"fsm-microtopo",stone:"cornerstone",tier:"proxy",variant:"scalars",source:"USGS 3DEP",agency:"USGS 3DEP DEM (LiDAR-derived) + whitebox-workflows hydrology",vintage:"2018",title:"Microtopography at this point",scalars:r,sub:"Lower percentile = topographic low point; runoff routes here.",docId:"microtopo",citeId:"microtopo"}}function hn(n){const e=[],t=C(n.mta_entrances);if(t!=null&&t.available&&Array.isArray(t.entrances))for(const o of t.entrances.slice(0,4))e.push({reg:"MTA",tier:"empirical",label:T(o.station_name)??T(o.entrance_id)??"entrance",detail:`${w(o.distance_m)??"—"} m · ${T(o.daytime_routes)??""}`.trim(),sourceId:T(o.station_id)??"MTA",note:null});else t&&t.available===!1&&e.push({reg:"MTA",tier:"empirical",label:null,detail:null,sourceId:null,note:"no subway entrances within 1.0 mi (silent)"});const r=C(n.nycha_developments);if(r!=null&&r.available&&Array.isArray(r.developments))for(const o of r.developments.slice(0,3))e.push({reg:"NYCHA",tier:"empirical",label:T(o.development)??"development",detail:`${w(o.distance_m)??"—"} m · ${T(o.borough)??""}`.trim(),sourceId:T(o.tds_num)??null,note:null});else r&&r.available===!1&&e.push({reg:"NYCHA",tier:"empirical",label:null,detail:null,sourceId:null,note:"no NYCHA developments within 1.0 mi (silent)"});const s=C(n.doe_schools);if(s!=null&&s.available&&Array.isArray(s.schools))for(const o of s.schools.slice(0,3))e.push({reg:"DOE",tier:"empirical",label:T(o.loc_name)??"school",detail:`${w(o.distance_m)??"—"} m · ${T(o.borough)??""}`.trim(),sourceId:T(o.loc_code)??null,note:null});else s&&s.available===!1&&e.push({reg:"DOE",tier:"empirical",label:null,detail:null,sourceId:null,note:"no schools within 1.0 mi (silent)"});const d=C(n.doh_hospitals);if(d!=null&&d.available&&Array.isArray(d.hospitals))for(const o of d.hospitals.slice(0,3))e.push({reg:"DOH",tier:"empirical",label:T(o.facility_name)??"hospital",detail:`${w(o.distance_m)??"—"} m · ${T(o.borough)??""}`.trim(),sourceId:T(o.fac_id)??null,note:null});else d&&d.available===!1&&e.push({reg:"DOH",tier:"empirical",label:null,detail:null,sourceId:null,note:"no acute-care hospital within 1.0 mi (silent)"});return e.length?{id:"fsm-registers",stone:"keystone",tier:"empirical",variant:"register",source:"NYC OpenData",agency:"NYC OpenData · multi-agency join",vintage:J,title:"Nearby exposed assets",registers:e,sub:`${e.filter(o=>o.label).length} of ${e.length} registers fired · joined within 1.0 mi`,docId:"registers",citeId:"registers",mapLayer:"registers"}:null}function vn(n){const e=C(n.terramind_buildings);return e!=null&&e.ok?{id:"fsm-tm-buildings",stone:"keystone",tier:"modeled",variant:"raster-pred",source:"TerraMind-NYC",agency:"msradam/TerraMind-NYC-Adapters · Buildings LoRA",vintage:"2026",title:"NYC building footprints — TerraMind LoRA",rasterKind:"buildings",headline:`${w(e.pct_buildings)??0}%`,subhead:"building-footprint coverage in chip",sub:`${w(e.n_building_components)??0} distinct components · test mIoU 0.5511`,illustrative:!0,docId:"tm_buildings",citeId:"tm_buildings",mapLayer:"buildings"}:null}function gn(n){const e=C(n.floodnet);if(!e||(w(e.n_sensors)??0)<=0)return null;const t=w(e.n_flood_events_3y)??0;return{id:"fsm-floodnet",stone:"touchstone",tier:"empirical",variant:"spark",source:"FloodNet",agency:"FloodNet NYC ultrasonic depth sensor network",vintage:"2026",title:"FloodNet sensors near this address",headline:`${t} events`,subhead:`${w(e.n_sensors)??0} sensors · last 3 y`,spark:Array.from({length:24},(r,s)=>Math.max(0,Math.round(t/24*1.4*Math.exp(-Math.pow((s-14)/4,2))+t/24))),sparkSub:"Above-curb depth events ≥ 2 cm. Synthetic monthly distribution; raw deployment-id history is in the audit panel.",docId:"floodnet",citeId:"floodnet",mapLayer:"floodnet"}}function yn(n){var p;const e=C(n.nyc311);if(!e)return null;const t=w(e.n)??0;if(t<=0)return null;const r=C(e.by_year),s=C(e.by_descriptor),d=r?Object.values(r).map(m=>w(m)??0):Array.from({length:12},()=>Math.round(t/12)),o=s?(p=Object.entries(s).sort((m,l)=>(w(l[1])??0)-(w(m[1])??0))[0])==null?void 0:p[0]:null;return{id:"fsm-311",stone:"touchstone",tier:"proxy",variant:"histogram",source:"NYC 311",agency:"NYC 311 service requests (Socrata erm2-nwe9)",vintage:J,title:"Recent 311 flood complaints",headline:`${t} calls`,subhead:o?`top descriptor: ${o}`:"all flood-related descriptors",histogram:d,sparkSub:`Within ${w(e.radius_m)??200} m · ${w(e.years)??5} y window. Filtered to flood-relevant descriptors.`,docId:"nyc311",citeId:"nyc311",mapLayer:"complaints"}}function bn(n){var r;const e=C(n.nws_obs);if(!e||e.error||e.station_id==null)return null;const t=[];return w(e.precip_last_hour_mm)!=null&&t.push({value:`${e.precip_last_hour_mm} mm`,label:"precip · 1h"}),w(e.precip_last_6h_mm)!=null&&t.push({value:`${e.precip_last_6h_mm} mm`,label:"precip · 6h"}),t.length?{id:"fsm-nws-obs",stone:"touchstone",tier:"empirical",variant:"scalars",source:"NWS",agency:`NWS ASOS station ${T(e.station_id)??"?"}`,vintage:((r=T(e.obs_time))==null?void 0:r.slice(0,10))??J,title:"Recent precipitation",scalars:t,sub:`Nearest hourly METAR: ${T(e.station_name)??"?"} (${w(e.distance_km)??"?"} km).`,docId:"nws_obs",citeId:"nws_obs",mapLayer:"nws"}:null}function wn(n){var r;const e=C(n.noaa_tides);if(!e||e.error||w(e.observed_ft_mllw)==null)return null;const t=[{value:`${e.observed_ft_mllw} ft`,label:"observed (MLLW)"}];return w(e.predicted_ft_mllw)!=null&&t.push({value:`${e.predicted_ft_mllw} ft`,label:"predicted"}),w(e.residual_ft)!=null&&t.push({value:`${e.residual_ft} ft`,label:"residual"}),{id:"fsm-noaa",stone:"touchstone",tier:"empirical",variant:"scalars",source:"NOAA CO-OPS",agency:`NOAA tide gauge ${T(e.station_name)??T(e.station_id)??"?"}`,vintage:((r=T(e.obs_time))==null?void 0:r.slice(0,10))??J,title:"Live water level (nearest tide gauge)",scalars:t,sub:"Residual = observed − astronomical tide; positive residual is wind / surge component.",docId:"noaa_tides",citeId:"noaa_tides",mapLayer:"noaa"}}function xn(n){var r;const e=C(n.prithvi_live);if(!(e!=null&&e.ok))return null;const t=(r=T(e.item_datetime))==null?void 0:r.slice(0,10);return{id:"fsm-prithvi-live",stone:"touchstone",tier:"modeled",variant:"raster-pred",source:"Prithvi-NYC-Pluvial",agency:"NASA-IBM Prithvi v2 · NYC fine-tune",vintage:t?`${t} · Sentinel-2`:"Sentinel-2",title:"Pluvial flood prediction · Prithvi-NYC-Pluvial",rasterKind:"prithvi",headline:`${w(e.pct_water_within_500m)??0}% flooded`,subhead:`water within 500 m · cloud ${w(e.cloud_cover)??"?"}%`,sub:"Test flood IoU 0.5979 on held-out NYC chips. Model interpretation, not a measurement.",illustrative:!0,docId:"prithvi_live",citeId:"prithvi_live",mapLayer:"prithvi-pluvial"}}const Sn={urban:"#C66",water:"#5B7FB4",vegetation:"#5B8A4A",barren:"#A89A78",wetland:"#D9C75A"};function kn(n){const e=C(n.terramind_lulc);if(!(e!=null&&e.ok))return null;const t=C(e.class_fractions)??{},r={urban:0,water:0,vegetation:0,barren:0,wetland:0};for(const[d,o]of Object.entries(t)){const p=d.toLowerCase();p.includes("urban")||p.includes("built")||p.includes("impervious")?r.urban+=o:p.includes("water")?r.water+=o:p.includes("tree")||p.includes("vegetation")||p.includes("crop")||p.includes("grass")?r.vegetation+=o:p.includes("bare")||p.includes("barren")||p.includes("soil")?r.barren+=o:p.includes("wet")||p.includes("marsh")?r.wetland+=o:r.barren+=o}const s=Object.entries(r).filter(([,d])=>d>0).map(([d,o])=>({k:d,pct:Math.round(o),color:Sn[d]}));return{id:"fsm-tm-lulc",stone:"touchstone",tier:"synthetic",variant:"lulc",source:"TerraMind v1.2",agency:"IBM TerraMind v1.2 · Sentinel-2 inputs",vintage:"Sentinel-2",title:"Land use / land cover · TerraMind v1.2",rasterKind:"lulc",classMix:s.length?s:void 0,sub:"Synthetic prior. 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I of g)if(A[I]!==void 0&&M.push(Be(I,A[I])),M.length>=3)break}else for(const[I,y]of Object.entries(A))if(y!==null&&typeof y!="object"&&(M.push(Be(I,y)),M.length>=2))break;return M.join(" · ")||void 0}function ht(u){const i=[],_=u.mta_entrances;if(_&&Array.isArray(_.entrances))for(const g of _.entrances){const M=Number(g.entrance_lat),I=Number(g.entrance_lon);!Number.isFinite(M)||!Number.isFinite(I)||i.push({type:"Feature",geometry:{type:"Point",coordinates:[I,M]},properties:{kind:"subway",name:`${g.station_name??"?"} (${g.daytime_routes??"?"})`,doc_id:`mta_entrance_${g.station_id??""}`,inside_sandy_2012:g.inside_sandy_2012===!0}})}const f=u.doe_schools;if(f&&Array.isArray(f.schools))for(const g of f.schools){const M=Number(g.school_lat),I=Number(g.school_lon);!Number.isFinite(M)||!Number.isFinite(I)||i.push({type:"Feature",geometry:{type:"Point",coordinates:[I,M]},properties:{kind:"school",name:String(g.loc_name??g.school_name??"?"),doc_id:`doe_school_${g.loc_code??""}`,inside_sandy_2012:g.inside_sandy_2012===!0}})}const A=u.nycha_developments;if(A&&Array.isArray(A.developments))for(const g of A.developments){const M=Number(g.centroid_lat),I=Number(g.centroid_lon);if(!Number.isFinite(M)||!Number.isFinite(I))continue;const y=Number(g.pct_inside_sandy_2012??0);i.push({type:"Feature",geometry:{type:"Point",coordinates:[I,M]},properties:{kind:"nycha",name:String(g.development??"?"),doc_id:`nycha_dev_${g.tds_num??""}`,inside_sandy_2012:y>=50,pct_inside_sandy:y}})}const S=u.doh_hospitals;if(S&&Array.isArray(S.hospitals))for(const g of S.hospitals){const M=Number(g.hospital_lat),I=Number(g.hospital_lon);!Number.isFinite(M)||!Number.isFinite(I)||i.push({type:"Feature",geometry:{type:"Point",coordinates:[I,M]},properties:{kind:"hospital",name:String(g.facility_name??"?"),doc_id:`nyc_hospital_${g.fac_id??""}`,inside_sandy_2012:g.inside_sandy_2012===!0}})}return{type:"FeatureCollection",features:i}}function vt(u){return{type:"FeatureCollection",features:[]}}function Ye(u){return 1+(u.children??[]).reduce((_,f)=>_+Ye(f),0)}function Be(u,i){if(typeof i=="number"){const _=Number.isInteger(i)?`${i}`:i.toFixed(2);return`${u}=${_}`}if(typeof i=="boolean")return`${u}=${i}`;if(typeof i=="string"){const _=i.length>24?i.slice(0,22)+"…":i;return`${u}=${_}`}return u}let ie=k(te({empirical:!0,modeled:!0,synthetic:!0,proxy:!0})),K=k(null),ue=k(null),He=k(void 0),Ge=k(void 0),pe=k(void 0),fe=k(void 0),me=k(void 0),_e=k(void 0),ee=k(te([])),ae=k(te({})),he=[];function gt(){var A;if(!a(o)){v(ee,[],!0),v(ae,{},!0),he=[];return}const u={};(A=a(p))!=null&&A.citations&&a(p).citations.forEach((S,g)=>{u[S.doc_id]=pt(g+1,S.doc_id,{source:S.source,title:S.title,url:S.url,vintage:S.vintage})});const i=On(a(o),u),_={};let f=1;for(const S of he){const g=i.citations[S];g&&(_[S]={...g,n:f++})}for(const[S,g]of Object.entries(i.citations))_[S]||(_[S]={...g,n:f++},he.push(S));v(ee,i.blocks,!0),v(ae,_,!0)}je(()=>{a(o),a(p),gt()}),je(()=>{if(!a(K))return;const{lat:u,lon:i,source:_}=a(K);_==="nta"&&a(ue)?(Rn(a(ue)).then(f=>v(pe,f,!0)),Yn(a(ue)).then(f=>v(fe,f,!0)),at(u,i,2500).then(f=>v(me,f,!0)),st(u,i,3e3).then(f=>v(_e,f,!0))):(zn(u,i).then(f=>v(pe,f,!0)),Dn(u,i).then(f=>v(fe,f,!0)),at(u,i).then(f=>v(me,f,!0)),st(u,i).then(f=>v(_e,f,!0)))}),jt(()=>{if(Qe.reset(),!a(r)())return;v(U,Date.now(),!0);const u=Pn(a(r)(),{onPlanToken:i=>v(d,a(d)+i),onPlan:i=>v(s,i,!0),onStep:i=>{if(In(X,i.step,i.result,i.ok),v(re,a(re)+1),i.step==="geocode")if(i.ok&&i.result&&typeof i.result=="object"){const y=i.result;if(typeof y.lat=="number"&&typeof y.lon=="number"){const N=typeof y.address=="string"?y.address:a(r)();v(K,{label:N,lat:y.lat,lon:y.lon,source:"geocode"},!0),v(E,!0)}}else v(P,"geocoder");if(i.step==="nta_resolve"&&i.ok&&i.result&&typeof i.result=="object"){const y=i.result,N=Array.isArray(y.bbox)?y.bbox:null,z=typeof y.nta_code=="string"?y.nta_code:null;if(N&&N.length===4&&z){v(ue,z,!0);const V=(N[0]+N[2])/2,D=(N[1]+N[3])/2,B=typeof y.nta_name=="string"?y.nta_name:a(r)();v(K,{label:B,lat:D,lon:V,source:"nta"},!0)}}const _=Dt(i.step),f=i.ok?i.result==null&&i.err==null?"silent":"ok":"error",A=Math.round((i.elapsed_s??0)*1e3),S=i.result!=null?i.result:i.err??null,g=_t(i.step,i.result,i.err,f),M={id:`step-${Ye(a(O))}`,name:i.step,status:f,ms:A,tier:_,note:g,output:S,error:f==="error"?i.err??"unknown error":void 0,model:Re.has(i.step)?"granite-timeseries-ttm-r2":void 0},I={...a(O),ms:(a(O).ms??0)+A};if(Re.has(i.step)){const y=[...I.children??[]];let N=y.find(D=>D.id===Te);N||(N={id:Te,name:"forecasting.granite-timeseries-ttm-r2",status:"fan",ms:0,tier:"modeled",note:"1 instance",model:"granite-timeseries-ttm-r2",children:[]},y.push(N));const z=[...N.children??[],M],V={...N,ms:(N.ms??0)+A,note:`${z.length} instance${z.length===1?"":"s"}`,children:z};v(O,{...I,children:y.map(D=>D.id===Te?V:D)},!0)}else v(O,{...I,children:[...I.children??[],M]},!0)},onAttemptStart:i=>{v(l,i,!0),i>1&&(v(Y,a(o),!0),v(o,""),he=[])},onToken:i=>{a(h)||(v(h,!0),a(l)===0&&v(l,1)),v(o,a(o)+i)},onMelleaAttempt:i=>{i.attempt>0&&v(l,i.attempt,!0)},onFinal:i=>{v(p,i,!0),i.paragraph&&v(o,i.paragraph,!0),v(G,En(i),!0),v(He,ht(i),!0),v(Ge,vt(),!0);const f=i.mellea;f&&f.failed&&f.failed.length>0&&f.attempts&&f.attempts>=c&&v(P,"grounding")},onError:i=>{const _=i.toLowerCase();(_.includes("connection")||_.includes("502")||_.includes("503")||_.includes("timeout")||_.includes("routing"))&&v(P,"backend")},onDone:()=>{var i,_,f,A,S;v(m,!0),a(U)!=null&&v(j,(Date.now()-a(U))/1e3),!a(h)&&!a(P)&&a(E)&&v(P,"all-silent"),!a(P)&&a(ee).length>0&&(Vt({queryId:a(t),queryText:a(r)(),intent:((i=a(s))==null?void 0:i.intent)??null,specialists:((f=(_=a(s))==null?void 0:_.specialists)==null?void 0:f.length)??0,blocks:a(ee),citations:a(ae),generatedAt:new Date().toISOString(),attempts:((S=(A=a(p))==null?void 0:A.mellea)==null?void 0:S.attempts)??a(l)}),Qe.markReady())}});return()=>u.close()});var Ie=nr(),Ue=x(Ie),Ce=x(Ue),Me=x(Ce),qe=x(Me),yt=$(x(qe),2);{var bt=u=>{var i=Bn(),_=x(i),f=$(_);{var A=S=>{var g=Et("· ✓ done");q(S,g)};H(f,S=>{a(m)&&S(A)})}b(i),W(()=>{var S;return R(_,`intent: ${a(s).intent??""} · ${((S=a(s).specialists)==null?void 0:S.length)??0??""} specialists · attempt ${a(l)??""} `)}),q(u,i)},wt=u=>{var i=Hn();q(u,i)};H(yt,u=>{a(s)?u(bt):u(wt,-1)})}b(qe);var Fe=$(qe,2),We=$(x(Fe)),xt=x(We,!0);b(We),b(Fe);var St=$(Fe,2);{var kt=u=>{on(u,{get state(){return a(P)}})},$t=u=>{var i=Xn(),_=ye(i);{var f=y=>{var N=Un(),z=ye(N);nn(z,{get attempt(){return a(l)},max:c});var V=$(z,2);{var D=B=>{var Z=Gn(),ve=x(Z),ge=x(ve);b(ve),b(Z),W(Pe=>R(ge,`${Pe??""}…`),[()=>a(Y).slice(0,360)]),q(B,Z)};H(V,B=>{a(Y)&&B(D)})}q(y,N)};H(_,y=>{a(l)>1&&y(f)})}var A=$(_,2);{var S=y=>{var N=Kn(),z=ye(N);Rt(z,{get blocks(){return a(ee)},get citations(){return a(ae)},streaming:!1});var V=$(z,2);{var D=B=>{var Z=Wn();q(B,Z)};H(V,B=>{a(m)||B(D)})}q(y,N)},g=y=>{en(y)},M=y=>{var N=Zn(),z=$(x(N),2);{var V=D=>{var B=Vn(),Z=x(B),ve=x(Z);b(Z);var ge=$(Z,2),Pe=x(ge,!0);b(ge),b(B),W(()=>{R(ve,`Planner streaming (${a(d).length??""} chars)`),R(Pe,a(d))}),q(D,B)};H(z,D=>{a(d)&&D(V)})}b(N),q(y,N)},I=y=>{var N=Jn();q(y,N)};H(A,y=>{a(ee).length?y(S):a(E)&&!a(h)?y(g,1):a(s)?y(I,-1):y(M,2)})}q(u,i)};H(St,u=>{a(P)?u(kt):u($t,-1)})}b(Me);var Ke=$(Me,2),Le=x(Ke),Ee=x(Le),Nt=$(x(Ee),2);{var At=u=>{var i=Qn(),_=x(i);b(i),W((f,A)=>R(_,`Carto Positron · z15 · ${f??""}°N ${A??""}°W`),[()=>a(K).lat.toFixed(4),()=>Math.abs(a(K).lon).toFixed(4)]),q(u,i)},Tt=u=>{var i=er();q(u,i)};H(Nt,u=>{a(K)?u(At):u(Tt,-1)})}b(Ee);var It=$(Ee,2);{var Ct=u=>{var i=tr(),_=x(i);Gt(_,{get address(){return a(K)},get activeLayers(){return a(ie)},get sandyEmpirical(){return a(pe)},get depModeled(){return a(fe)},get syntheticPrior(){return a(me)},get proxy311(){return a(_e)},get registerPoints(){return a(He)},get registerPolygons(){return a(Ge)},get linkedKey(){return a(Q)}});var f=$(_,2);Ut(f,{get active(){return a(ie)},get featureCounts(){return a(F)},onToggle:A=>v(ie,{...a(ie),[A]:!a(ie)[A]},!0)}),b(i),q(u,i)};H(It,u=>{a(K)&&u(Ct)})}b(Le);var Ve=$(Le,2),Mt=x(Ve);Bt(Mt,{get citations(){return a(ae)}}),b(Ve),b(Ke),b(Ce);var Ze=$(Ce,2),Je=x(Ze),qt=x(Je);Ht(qt,{get data(){return a(de)},density:Ne,provenanceMode:Ae,get showGrammar(){return a(ce)},get linkedKey(){return a(Q)},onLink:ft,onCite:mt}),b(Je),b(Ze),b(Ue),b(Ie),W(u=>R(xt,u),[()=>a(r)()]),q(n,Ie),Ot()}export{fr as component,pr as universal};

web/sveltekit/build/_app/version.json

@@ -1 +1 @@
-{"version":"1778026171130"}
+{"version":"1778027386130"}

web/sveltekit/build/index.html

@@ -6,18 +6,18 @@
     <meta name="viewport" content="width=device-width, initial-scale=1" />
     <meta name="description" content="Riprap — citation-grounded NYC flood-exposure briefings." />
     <title>Riprap — flood-exposure briefing</title>
-    <link href="./_app/immutable/entry/start.CYeNaam7.js" rel="modulepreload">
-		<link href="./_app/immutable/chunks/B-c32aHK.js" rel="modulepreload">
+    <link href="./_app/immutable/entry/start.DqvzPt28.js" rel="modulepreload">
+		<link href="./_app/immutable/chunks/BNGwht-6.js" rel="modulepreload">
 		<link href="./_app/immutable/chunks/Dr93mMbz.js" rel="modulepreload">
-		<link href="./_app/immutable/entry/app.B9X66oIp.js" rel="modulepreload">
+		<link href="./_app/immutable/entry/app.BJn-ecAC.js" rel="modulepreload">
 		<link href="./_app/immutable/chunks/DM0dVcpA.js" rel="modulepreload">
 		<link href="./_app/immutable/chunks/WYoL_k1G.js" rel="modulepreload">
 		<link href="./_app/immutable/chunks/kFXL_I1K.js" rel="modulepreload">
-		<link href="./_app/immutable/nodes/0.rOAU9Q6r.js" rel="modulepreload">
+		<link href="./_app/immutable/nodes/0.ChgtPNh5.js" rel="modulepreload">
 		<link href="./_app/immutable/chunks/LdqJVpAk.js" rel="modulepreload">
-		<link href="./_app/immutable/chunks/BrsUtjuL.js" rel="modulepreload">
+		<link href="./_app/immutable/chunks/Dxes6K0o.js" rel="modulepreload">
 		<link href="./_app/immutable/chunks/5ANqR9hF.js" rel="modulepreload">
-		<link href="./_app/immutable/nodes/2.D0-Swujs.js" rel="modulepreload">
+		<link href="./_app/immutable/nodes/2.DIfmuOGu.js" rel="modulepreload">
 		<link href="./_app/immutable/chunks/BClW_8sh.js" rel="modulepreload">
 		<link href="./_app/immutable/chunks/Chht4iZ-.js" rel="modulepreload">
 		<link href="./_app/immutable/chunks/D907np-5.js" rel="modulepreload">
@@ -33,15 +33,15 @@
 			
 			<script>
 				{
-					__sveltekit_if1lnh = {
+					__sveltekit_1yzmf7a = {
 						base: new URL(".", location).pathname.slice(0, -1)
 					};
 
 					const element = document.currentScript.parentElement;
 
 					Promise.all([
-						import("./_app/immutable/entry/start.CYeNaam7.js"),
-						import("./_app/immutable/entry/app.B9X66oIp.js")
+						import("./_app/immutable/entry/start.DqvzPt28.js"),
+						import("./_app/immutable/entry/app.BJn-ecAC.js")
 					]).then(([kit, app]) => {
 						kit.start(app, element, {
 							node_ids: [0, 2],

web/sveltekit/probe-mini-map.mjs

@@ -0,0 +1,21 @@
+import { chromium } from '@playwright/test';
+const browser = await chromium.launch();
+const page = await (await browser.newContext()).newPage();
+const errors = [];
+page.on('pageerror', (e) => errors.push('pageerror: ' + e.message));
+page.on('console', (m) => {
+  if (['error','warning'].includes(m.type())) errors.push(m.type()+': '+m.text());
+});
+await page.goto('http://127.0.0.1:7860/', { waitUntil: 'networkidle' });
+await page.waitForTimeout(2000);
+const dims = await page.evaluate(() => {
+  const c = document.querySelector('.land-mapmini-canvas');
+  if (!c) return { found: false };
+  const r = c.getBoundingClientRect();
+  const canvas = c.querySelector('canvas.maplibregl-canvas');
+  return { found: true, w: r.width, h: r.height, inner_html_len: c.innerHTML.length,
+           has_canvas: !!canvas, canvas_w: canvas?.width, canvas_h: canvas?.height };
+});
+console.log('canvas dims:', JSON.stringify(dims));
+console.log('errors:', errors.length ? errors.join('\n') : 'none');
+await browser.close();

web/sveltekit/probe-screenshot.mjs

@@ -0,0 +1,9 @@
+import { chromium } from '@playwright/test';
+const browser = await chromium.launch();
+const page = await (await browser.newContext({ viewport: { width: 1280, height: 900 } })).newPage();
+await page.goto('http://127.0.0.1:7860/', { waitUntil: 'networkidle' });
+await page.waitForTimeout(2500);  // give tiles time to settle
+const pane = await page.$('.land-preview-pane-map');
+await pane.screenshot({ path: '/tmp/riprap/landing_map.png' });
+console.log('saved /tmp/riprap/landing_map.png');
+await browser.close();

web/sveltekit/src/lib/components/shell/AppFooter.svelte

@@ -7,7 +7,7 @@
       · <a href="https://www.floodnet.nyc">FloodNet NYC</a>.
     </p>
     <p class="app-footer-build">
-      All foundation models Apache-2.0 · All data from public-record federal, state, and city sources · No commercial APIs contacted at runtime · Riprap v0.4.2 · build 2026-05-03
+      All foundation models Apache-2.0 · All data from public-record federal, state, and city sources · No commercial APIs contacted at runtime · Riprap v0.4.5 · build 2026-05-05
     </p>
   </div>
 </footer>