From d88d442a6c118091fcdd9ac2c11f878ba499400d Mon Sep 17 00:00:00 2001 From: Nif <64535498+Nif00@users.noreply.github.com> Date: Wed, 22 Jul 2026 00:04:52 +0300 Subject: [PATCH] Add Manhattan 3D fire flow simulation --- .gitattributes | 3 + PLAN.md | 29 +- README.md | 32 +- data/processed/manhattan_buildings.json | 3 + data/processed/manhattan_network.json | 3 + data/raw/manhattan_buildings_metadata.json | 21 + data/raw/manhattan_metadata.json | 21 + data/raw/manhattan_osm_buildings.json | 3 + data/raw/manhattan_osm_roads.json | 1137548 +++++++++++++++++ launch_manhattan_ui.bat | 35 + launch_polatli_ui.bat | 8 +- src/fire_spread/buildings.py | 114 +- src/fire_spread/osm.py | 2 + src/fire_spread/propagation.py | 22 +- src/fire_spread/urban_wind.py | 239 + src/fire_spread/web.py | 255 +- tests/test_osm.py | 20 + tests/test_real_dataset.py | 15 + tests/test_urban_wind.py | 45 + web/app.js | 934 +- web/index.html | 58 +- web/styles.css | 70 +- 22 files changed, 1139155 insertions(+), 325 deletions(-) create mode 100644 .gitattributes create mode 100644 data/processed/manhattan_buildings.json create mode 100644 data/processed/manhattan_network.json create mode 100644 data/raw/manhattan_buildings_metadata.json create mode 100644 data/raw/manhattan_metadata.json create mode 100644 data/raw/manhattan_osm_buildings.json create mode 100644 data/raw/manhattan_osm_roads.json create mode 100644 launch_manhattan_ui.bat create mode 100644 src/fire_spread/urban_wind.py create mode 100644 tests/test_urban_wind.py diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..f859874 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,3 @@ +data/processed/manhattan_buildings.json filter=lfs diff=lfs merge=lfs -text +data/processed/manhattan_network.json filter=lfs diff=lfs merge=lfs -text +data/raw/manhattan_osm_buildings.json filter=lfs diff=lfs merge=lfs -text diff --git a/PLAN.md b/PLAN.md index 84aecb4..9331124 100644 --- a/PLAN.md +++ b/PLAN.md @@ -32,7 +32,7 @@ SimulationResult -> ranked hotspots / downloadable JSON / restrained local web U - `fire_spread.buildings`: converts preserved direct OSM XML map tiles into projected building footprints and height-confidence records. - `fire_spread.propagation`: configurable edge traversal and event-driven spread. - `fire_spread.cli`: a small command-line entry point for repeatable runs. -- `fire_spread.web`: local HTTP API and small static UI for scenario controls, network view, 2.5D building rendering, and hotspot output. +- `fire_spread.web`: local HTTP API and small static UI for scenario controls, interactive 3D network/building rendering, and hotspot output. - `tests`: contract tests for graph validation, directional links, modifiers, horizon handling, deterministic results, OSM conversion, and building provenance. - `data/raw`: preserved source city files and provenance records. - `data/processed`: normalized network artifacts and derived simulation outputs. @@ -60,9 +60,18 @@ SimulationResult -> ranked hotspots / downloadable JSON / restrained local web U } ``` -Coordinates are projected/local meters in normalized data. The Polatlı adapter uses a local equirectangular projection centered on the Nominatim town-relation result, with the source WGS84 coordinates retained in node metadata. +Coordinates are projected/local meters in normalized data. The Manhattan and Polatlı adapters use a local equirectangular projection centered on each study area, with the source WGS84 coordinates retained in node metadata. -## Real starting dataset: Polatlı, Ankara +## Current starting dataset: Manhattan Island, New York + +- Source: OpenStreetMap road and building geometry retrieved from the public Overpass API. +- Coverage: `40.7000,-74.0200` to `40.8825,-73.9065`, covering Manhattan Island and its immediate shoreline. +- Normalized graph: 147,121 nodes and 161,601 links from 30,935 highway ways. +- Building layer: 157,202 OSM building/building-part footprints; 116,917 have explicit height tags, 2,171 have level estimates, and 38,114 are footprint-only. +- Files: `data/raw/manhattan_osm_roads.json`, `data/raw/manhattan_osm_buildings.json`, `data/raw/manhattan_metadata.json`, `data/raw/manhattan_buildings_metadata.json`, `data/processed/manhattan_network.json`, and `data/processed/manhattan_buildings.json`. +- License: OpenStreetMap data © OpenStreetMap contributors, ODbL 1.0. Query, coverage, origin, and height policy are preserved in the metadata files and normalized outputs. + +## Legacy regression dataset: Polatlı, Ankara - Source: OpenStreetMap road geometry retrieved from the public Overpass API. - Coverage: `39.54,32.08` to `39.63,32.22`, covering the Polatlı urban area and immediate outskirts rather than the full administrative district. @@ -75,17 +84,17 @@ Coordinates are projected/local meters in normalized data. The Polatlı adapter ## Current boundary decision -The street graph remains the only spatial input to fire propagation. The OSM building layer is currently presentation-only: it drives the 2.5D viewer but does not alter spread speed, connectivity, or hotspot scores. +The street graph remains the connectivity input to fire propagation. The web UI now offers an experimental QUIC-URB-inspired urban-wind layer: OSM building footprints are rasterized into a regular obstacle grid, and sampled local wind speed/direction alter edge spread speed. This is a transparent diagnostic heuristic, not a fluid solver. The web result also derives an adjacency layer that marks buildings near an activated road segment or ignition node as burning for 3D visualization. -The viewer exposes orthographic and perspective projections plus a clearly labeled vertical exaggeration control. Unknown building heights remain flat in source-only mode; the optional 3 m massing fallback is a visualization assumption, not a measured height. +The viewer exposes orthographic and perspective 3D cameras plus a clearly labeled vertical exaggeration control. Unknown building heights remain flat in source-only mode; the optional 3 m massing fallback is a visualization assumption, not a measured height. OSM `height`, `building:levels`, `min_height`, and roof metadata are preserved for rendering; sparse OSM node `ele` values are also carried when present. ## Simulation phases 1. **Baseline graph:** load and validate a normalized network; reject missing endpoints, duplicate IDs, non-positive lengths, and invalid parameter ranges. 2. **Deterministic propagation:** simulate one or more ignition nodes over a finite time horizon; preserve earliest arrival per node and link interval. 3. **Hotspot ranking:** rank links by normalized advancement score and nodes by arrival/exposure metrics. -4. **City ingestion:** retrieve and preserve the Polatlı OSM extract, reproject to local meters, split ways at geometry vertices, preserve one-way/surface/width tags, and validate topology. -5. **Current web UI:** run real scenarios against the Polatlı graph, show the full network and activated links, and allow JSON result download. +4. **City ingestion:** retrieve and preserve a city OSM extract, reproject to local meters, split ways at geometry vertices, preserve one-way/surface/width tags, and validate topology. +5. **Current web UI:** run real scenarios against the Manhattan graph, show the detailed 3D building layer, activated links, and local flow-vector fields, and allow JSON result download. 6. **Calibration:** compare modeled travel times and spread patterns against historical incidents or expert-labelled scenarios; keep calibrated coefficients versioned. 7. **Scenario analysis:** support multiple ignitions, barriers/closures, time-varying wind, fuel/moisture rasters, and repeated stochastic runs only when validated data exists. Building footprints and 3D tags may become simulation inputs only after their effect is specified and validated. 8. **Presentation:** export GeoJSON and extend the current map view with a timestamp slider and richer city layers after the baseline is validated. @@ -100,9 +109,9 @@ The viewer exposes orthographic and perspective projections plus a clearly label ## Definition of done for the current baseline -- The preserved Polatlı OSM road and building extracts load from disk through source-specific adapters. -- A normalized Polatlı graph and building layer are available with provenance, local-meter coordinates, and height-source labels. +- The preserved Manhattan OSM road and building extracts load from disk through source-specific adapters. +- A normalized Manhattan graph and detailed building layer are available with provenance, local-meter coordinates, and height-source labels. - A CLI and local web UI run real propagation scenarios against the road graph. -- The UI offers orthographic and perspective 2.5D views without feeding unvalidated building heights into propagation. +- The UI offers orthographic and perspective 3D views without feeding unvalidated building heights into propagation. - Outputs include arrival times, activated links, ranked advancement scores, and dataset/scenario provenance. - Tests cover the observable baseline contracts, OSM conversion, and building conversion boundaries. diff --git a/README.md b/README.md index cf2b78a..dc39cb5 100644 --- a/README.md +++ b/README.md @@ -4,21 +4,21 @@ A small, reproducible baseline for simulating an advancing fire front over urban ## Status -The repository contains a runnable baseline against a preserved real OpenStreetMap extract for Polatlı, Ankara: +The repository contains a runnable baseline against a preserved real OpenStreetMap extract for Manhattan Island, New York. The earlier Polatlı extract remains available as a smaller regression dataset: - validated normalized city-network model; -- 1,837 downloaded OSM highway ways with geometry; -- 12,266 normalized nodes and 13,920 street/alley links; -- 12,151 OSM building/building-part footprints for the 2.5D viewer; +- 30,935 downloaded OSM highway ways with geometry; +- 147,121 normalized nodes and 161,601 street/alley links; +- 157,202 OSM building/building-part footprints with height provenance for the 3D viewer; - configurable heuristic spread modifiers; - deterministic event-driven propagation; - JSON input/output CLI; -- local web UI with orthographic/perspective 2.5D views, hotspot ranking, and result download; +- local web UI with interactive WebGL 3D views, hotspot ranking, and result download; - contract tests and a small hand-authored network used only for unit tests. The architecture and staged roadmap are in [`PLAN.md`](PLAN.md). The current model is for exploration and ranking only; it is not a validated fire-behavior or life-safety system. -The current milestone is simulation-first: the real street/alley graph drives propagation. OSM building footprints and height tags are currently presentation-only and do not alter spread calculations. +The current milestone is simulation-first: the real street/alley graph drives propagation. The web UI now includes an explicitly labeled, experimental QUIC-URB-inspired urban-wind layer that rasterizes OSM footprints and heights, then changes local wind speed and direction along graph links. It is a diagnostic approximation, not the QUIC-URB solver. ## Run the sample @@ -39,29 +39,37 @@ python -m fire_spread --network examples/sample_city.json --ignition A --horizon Write a result file with `--output path/to/result.json`. -## Run the real Polatlı dataset +## Run the Manhattan dataset + +```text +python -m fire_spread --network data/processed/manhattan_network.json --ignition osm:40.7911145:-73.9631218 --horizon-minutes 60 --output data/processed/manhattan_result.json +``` + +The default web dataset is Manhattan Island. Its study area is `40.7000,-74.0200` to `40.8825,-73.9065`; the normalized origin is the center of that bbox. The current extract contains 147,121 nodes, 161,601 links, and 157,202 building/building-part footprints. + +## Run the legacy Polatlı dataset ```text python -m fire_spread --network data/processed/polatli_network.json --ignition osm:39.5852148:32.1436842 --horizon-minutes 60 --output data/processed/polatli_result.json ``` -The default ignition node used by the web UI is the normalized node nearest the Polatlı town-center origin. The exact graph node ID is reported by the UI and `/api/status`. +The legacy dataset's default ignition node is the normalized node nearest the Polatlı town-center origin. The exact graph node ID is reported by the UI and `/api/status`. The raw Overpass road response is preserved at `data/raw/polatli_osm_roads.json`. The building layer is preserved as direct OSM API XML tiles under `data/raw/polatli_osm_map_tiles/`. Queries, bounding boxes, source, license, coordinate origin, and height policy are recorded in `data/raw/polatli_metadata.json` and `data/raw/polatli_buildings_metadata.json`. ## Run the local web UI ```text -python -m fire_spread.web --dataset data/processed/polatli_network.json --buildings data/processed/polatli_buildings.json --host 127.0.0.1 --port 8000 +python -m fire_spread.web --dataset data/processed/manhattan_network.json --buildings data/processed/manhattan_buildings.json --host 127.0.0.1 --port 8000 ``` -On Windows, double-click [`launch_polatli_ui.bat`](launch_polatli_ui.bat). It creates `.venv` on the first run, installs the project, starts the server with the real Polatlı network and building layer, and opens the browser automatically. Press `Ctrl+C` in the launcher window to stop it. +On Windows, double-click [`launch_manhattan_ui.bat`](launch_manhattan_ui.bat). It creates `.venv` on the first run, installs the project, starts the server with the Manhattan network and detailed building layer, and opens the browser automatically. Press `Ctrl+C` in the launcher window to stop it. The older launcher now also points at Manhattan for compatibility. The launcher intentionally prefers the `python` command on `PATH`; `py -3` can select an older installed interpreter even when `python --version` reports 3.11.9. -Open `http://127.0.0.1:8000`. The UI reads the real local graph and building layer, allows a node ignition and parameterized run, supports orthographic and perspective projections, offers source-only or explicitly labeled 3 m massing fallback heights, shows activated links, ranks advancement scores, and downloads the exact JSON result returned by the simulation. +Open `http://127.0.0.1:8000`. The UI reads the real local graph and building layer, extrudes every OSM footprint into a 3D scene, applies tagged heights and `building:levels` estimates, highlights buildings adjacent to the advancing front in bright red, offers source-only or explicitly labeled 3 m massing fallback heights, applies the optional QUIC-URB-inspired urban-wind grid, and can draw a local flow-vector graph around the selected node. It also shows activated links, ranks advancement scores, and downloads the exact JSON result returned by the simulation. -Map navigation: use the mouse wheel to zoom, drag with the left button to pan, and hold `Shift` while dragging (or use the right mouse button) to rotate. `Reset view` restores the fitted scene. +Map navigation: use the mouse wheel or `E`/`Q` to zoom, drag with the left button to orbit, hold `Shift` while dragging (or use the right mouse button) to pan, use `W`/`A`/`S`/`D` to pan, and use the arrow keys to rotate. The scene has no distance fog; `Reset view` restores the fitted scene. Vertical exaggeration is a visual control only. It changes how height is displayed, not the stored OSM heights or fire propagation calculations. diff --git a/data/processed/manhattan_buildings.json b/data/processed/manhattan_buildings.json new file mode 100644 index 0000000..3fb4b53 --- /dev/null +++ b/data/processed/manhattan_buildings.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a966f75a5d6cd6bea79ddcf009acecf3f2e5f6234c9bdb781c008d68815c9fd6 +size 170180052 diff --git a/data/processed/manhattan_network.json b/data/processed/manhattan_network.json new file mode 100644 index 0000000..58eaf5d --- /dev/null +++ b/data/processed/manhattan_network.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1351c809c0bf35cbd1a89d8aa30837821f95cf233ba23201ec9b10eb047301d1 +size 112349066 diff --git a/data/raw/manhattan_buildings_metadata.json b/data/raw/manhattan_buildings_metadata.json new file mode 100644 index 0000000..fb8fe35 --- /dev/null +++ b/data/raw/manhattan_buildings_metadata.json @@ -0,0 +1,21 @@ +{ + "dataset": "Manhattan Island OSM building footprints and 3D tags", + "provider": "OpenStreetMap contributors", + "source_api": "Overpass API", + "source_url": "https://overpass.kumi.systems/api/interpreter", + "license": "OpenStreetMap data © OpenStreetMap contributors, ODbL 1.0", + "bbox": { + "south": 40.7, + "west": -74.02, + "north": 40.8825, + "east": -73.9065 + }, + "bbox_description": "Same Manhattan Island study area as the street graph", + "query": "[out:json][timeout:600];(way[building](40.7000,-74.0200,40.8825,-73.9065);way[\"building:part\"](40.7000,-74.0200,40.8825,-73.9065););out body geom;", + "origin": { + "latitude": 40.79125, + "longitude": -73.96325, + "source": "center of the Manhattan Island study bbox" + }, + "height_policy": "Use height tag when present; otherwise estimate building:levels at 3 metres per level; otherwise retain footprint with height 0 and mark footprint_only" +} diff --git a/data/raw/manhattan_metadata.json b/data/raw/manhattan_metadata.json new file mode 100644 index 0000000..fe30582 --- /dev/null +++ b/data/raw/manhattan_metadata.json @@ -0,0 +1,21 @@ +{ + "dataset": "Manhattan Island urban street network", + "provider": "OpenStreetMap contributors", + "source_api": "Overpass API", + "source_url": "https://overpass.kumi.systems/api/interpreter", + "license": "OpenStreetMap data © OpenStreetMap contributors, ODbL 1.0", + "bbox": { + "south": 40.7, + "west": -74.02, + "north": 40.8825, + "east": -73.9065 + }, + "bbox_description": "Manhattan Island and immediate shoreline study area", + "query": "[out:json][timeout:300];way[highway~\"^(motorway|trunk|primary|secondary|tertiary|unclassified|residential|living_street|service|road|track|pedestrian)$\"](40.7000,-74.0200,40.8825,-73.9065);out body geom;", + "origin": { + "latitude": 40.79125, + "longitude": -73.96325, + "source": "center of the Manhattan Island study bbox" + }, + "downloaded_for": "urban-fire-spread detailed city replacement" +} diff --git a/data/raw/manhattan_osm_buildings.json b/data/raw/manhattan_osm_buildings.json new file mode 100644 index 0000000..f18c34f --- /dev/null +++ b/data/raw/manhattan_osm_buildings.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6e2b4a74014f90a5f5f3b642b75cb42ec693097274735c8008cec0e3d3a63254 +size 143505106 diff --git a/data/raw/manhattan_osm_roads.json b/data/raw/manhattan_osm_roads.json new file mode 100644 index 0000000..70da0ec --- /dev/null +++ b/data/raw/manhattan_osm_roads.json @@ -0,0 +1,1137548 @@ +{ + "version": 0.6, + "generator": "Overpass API 0.7.62.11 87bfad18", + "osm3s": { + "timestamp_osm_base": "2026-05-31T22:37:44Z", + "copyright": "The data included in this document is from www.openstreetmap.org. 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"Henry Hudson Parkway", + "name:etymology:wikidata": "Q179167", + "not:name": "West Side Highway", + "oneway": "yes", + "ref": "HH;NY 9A", + "surface": "asphalt", + "unsigned_ref": "NY 907V" + } +}, +{ + "type": "way", + "id": 1524315987, + "bounds": { + "minlat": 40.7866776, + "minlon": -73.9832683, + "maxlat": 40.7880027, + "maxlon": -73.9827592 + }, + "nodes": [ + 7910052648, + 61244670, + 7910052667, + 7910052659, + 7910052650, + 42422399 + ], + "geometry": [ + { "lat": 40.7866776, "lon": -73.9832683 }, + { "lat": 40.7868604, "lon": -73.9831880 }, + { "lat": 40.7870525, "lon": -73.9831100 }, + { "lat": 40.7872914, "lon": -73.9830214 }, + { "lat": 40.7874886, "lon": -73.9829527 }, + { "lat": 40.7880027, "lon": -73.9827592 } + ], + "tags": { + "goods": "no", + "hgv": "no", + "highway": "motorway", + "lanes": "3", + "maxspeed": "50 mph", + "motorcar": "designated", + "name": "Henry Hudson Parkway", + "name:etymology:wikidata": "Q179167", + "not:name": "West Side Highway", + "oneway": "yes", + "ref": "HH;NY 9A", + "surface": "asphalt", + "unsigned_ref": "NY 907V" + } +}, +{ + "type": "way", + "id": 1524315988, + "bounds": { + "minlat": 40.7856036, + "minlon": -73.9838819, + "maxlat": 40.7866776, + "maxlon": -73.9832683 + }, + "nodes": [ + 595295542, + 42423331, + 12162590070, + 7910063578, + 7910052657, + 61240930, + 7910052648 + ], + "geometry": [ + { "lat": 40.7856036, "lon": -73.9838819 }, + { "lat": 40.7858779, "lon": -73.9836941 }, + { "lat": 40.7860300, "lon": -73.9836018 }, + { "lat": 40.7861853, "lon": -73.9835150 }, + { "lat": 40.7863475, "lon": -73.9834264 }, + { "lat": 40.7865017, "lon": -73.9833496 }, + { "lat": 40.7866776, "lon": -73.9832683 } + ], + "tags": { + "goods": "no", + "hgv": "no", + "highway": "motorway", + "lanes": "3", + "maxspeed": "50 mph", + "motorcar": "designated", + "name": "Henry Hudson Parkway", + "name:etymology:wikidata": "Q179167", + "not:name": "West Side Highway", + "oneway": "yes", + "ref": "HH;NY 9A", + "surface": "asphalt", + "unsigned_ref": "NY 907V" + } +}, +{ + "type": "way", + "id": 1524317220, + "bounds": { + "minlat": 40.8095870, + "minlon": -73.9305284, + "maxlat": 40.8102518, + "maxlon": -73.9296573 + }, + "nodes": [ + 529054850, + 529054861 + ], + "geometry": [ + { "lat": 40.8102518, "lon": -73.9305284 }, + { "lat": 40.8095870, "lon": -73.9296573 } + ], + "tags": { + "hgv": "designated", + "highway": "motorway", + "lanes": "3", + "maxspeed": "50 mph", + "name": "Major Deegan Expressway", + "name:etymology:wikidata": "Q8009311", + "oneway": "yes", + "ref": "I 87", + "surface": "asphalt" + } +}, +{ + "type": "way", + "id": 1524317221, + "bounds": { + "minlat": 40.8102518, + "minlon": -73.9309344, + "maxlat": 40.8105676, + "maxlon": -73.9305284 + }, + "nodes": [ + 529054843, + 2408994054, + 529054847, + 529054850 + ], + "geometry": [ + { "lat": 40.8105676, "lon": -73.9309344 }, + { "lat": 40.8104887, "lon": -73.9308378 }, + { "lat": 40.8104070, "lon": -73.9307335 }, + { "lat": 40.8102518, "lon": -73.9305284 } + ], + "tags": { + "hgv": "designated", + "highway": "motorway", + "lanes": "3", + "maxspeed": "50 mph", + "name": "Major Deegan Expressway", + "name:etymology:wikidata": "Q8009311", + "oneway": "yes", + "ref": "I 87", + "surface": "asphalt" + } +}, +{ + "type": "way", + "id": 1524317222, + "bounds": { + "minlat": 40.8105676, + "minlon": -73.9313556, + "maxlat": 40.8110718, + "maxlon": -73.9309344 + }, + "nodes": [ + 2408974717, + 529054838, + 2408994057, + 2408976656, + 2408994056, + 529054843 + ], + "geometry": [ + { "lat": 40.8110718, "lon": -73.9313556 }, + { "lat": 40.8109780, "lon": -73.9312921 }, + { "lat": 40.8108797, "lon": -73.9312181 }, + { "lat": 40.8107873, "lon": -73.9311434 }, + { "lat": 40.8106974, "lon": -73.9310649 }, + { "lat": 40.8105676, "lon": -73.9309344 } + ], + "tags": { + "hgv": "designated", + "highway": "motorway", + "lanes": "3", + "maxspeed": "50 mph", + "name": "Major Deegan Expressway", + "name:etymology:wikidata": "Q8009311", + "oneway": "yes", + "ref": "I 87", + "surface": "asphalt" + } +}, +{ + "type": "way", + "id": 1524320163, + "bounds": { + "minlat": 40.8397410, + "minlon": -73.9293970, + "maxlat": 40.8408455, + "maxlon": -73.9287586 + }, + "nodes": [ + 60923208, + 13533533196, + 13533533197, + 13533533195, + 60920157 + ], + "geometry": [ + { "lat": 40.8408455, "lon": -73.9287586 }, + { "lat": 40.8407368, "lon": -73.9288168 }, + { "lat": 40.8406373, "lon": -73.9288724 }, + { "lat": 40.8405470, "lon": -73.9289265 }, + { "lat": 40.8397410, "lon": -73.9293970 } + ], + "tags": { + "hgv": "designated", + "highway": "motorway", + "lanes": "3", + "maxspeed": "50 mph", + "name": "Major Deegan Expressway", + "name:etymology:wikidata": "Q8009311", + "oneway": "yes", + "ref": "I 87", + "surface": "concrete" + } +}, +{ + "type": "way", + "id": 1524405741, + "bounds": { + "minlat": 40.7001896, + "minlon": -73.9871869, + "maxlat": 40.7006559, + "maxlon": -73.9869304 + }, + "nodes": [ + 42497727, + 7909208017, + 10722387747, + 42471291 + ], + "geometry": [ + { "lat": 40.7001896, "lon": -73.9869304 }, + { "lat": 40.7002686, "lon": -73.9869721 }, + { "lat": 40.7005836, "lon": -73.9871468 }, + { "lat": 40.7006559, "lon": -73.9871869 } + ], + "tags": { + "hgv": "local", + "highway": "unclassified", + "lanes": "1", + "maxspeed": "20 mph", + "name": "Jay Street", + "name:etymology:wikidata": "Q310847", + "oneway": "yes", + "sidewalk:left": "separate", + "sidewalk:right": "no", + "surface": "asphalt", + "tiger:cfcc": "A41", + "tiger:name_base": "Jay", + "tiger:name_type": "St" + } +}, +{ + "type": "way", + "id": 1524696415, + "bounds": { + "minlat": 40.8132732, + "minlon": -73.9583733, + "maxlat": 40.8133067, + "maxlon": -73.9583481 + }, + "nodes": [ + 13897041835, + 7598688500 + ], + "geometry": [ + { "lat": 40.8133067, "lon": -73.9583481 }, + { "lat": 40.8132732, "lon": -73.9583733 } + ], + "tags": { + "highway": "service", + "service": "parking_aisle", + "surface": "asphalt" + } +}, +{ + "type": "way", + "id": 1524918290, + "bounds": { + "minlat": 40.8136168, + "minlon": -73.9560947, + "maxlat": 40.8140243, + "maxlon": -73.9557888 + }, + "nodes": [ + 13899248716, + 4212649297 + ], + "geometry": [ + { "lat": 40.8136168, "lon": -73.9560947 }, + { "lat": 40.8140243, "lon": -73.9557888 } + ], + "tags": { + "cycleway": "lane", + "hgv": "local", + "highway": "secondary", + "lane_markings": "yes", + "lit": "yes", + "name": "Amsterdam Avenue", + "name:etymology:wikidata": "Q727", + "name:ru": "Амстердам-авеню", + "oneway": "no", + "surface": "asphalt", + "turn:lanes:backward": "left||", + "wikidata": "Q130388", + "wikipedia": "en:Tenth Avenue (Manhattan)" + } +}, +{ + "type": "way", + "id": 1524925346, + "bounds": { + "minlat": 40.7615685, + "minlon": -74.0024119, + "maxlat": 40.7616673, + "maxlon": -74.0022207 + }, + "nodes": [ + 13899426313, + 13899426316, + 13899426317, + 13899426314 + ], + "geometry": [ + { "lat": 40.7616673, "lon": -74.0024119 }, + { "lat": 40.7616280, "lon": -74.0023937 }, + { "lat": 40.7615685, "lon": -74.0022603 }, + { "lat": 40.7615825, "lon": -74.0022207 } + ], + "tags": { + "highway": "service", + "oneway": "yes" + } +}, +{ + "type": "way", + "id": 1524925347, + "bounds": { + "minlat": 40.7615825, + "minlon": -74.0024119, + "maxlat": 40.7616675, + "maxlon": -74.0022207 + }, + "nodes": [ + 13899426314, + 247119003, + 13899426315, + 13899426313 + ], + "geometry": [ + { "lat": 40.7615825, "lon": -74.0022207 }, + { "lat": 40.7616097, "lon": -74.0022348 }, + { "lat": 40.7616675, "lon": -74.0023670 }, + { "lat": 40.7616673, "lon": -74.0024119 } + ], + "tags": { + "highway": "service", + "oneway": "yes" + } +}, +{ + "type": "way", + "id": 1524925348, + "bounds": { + "minlat": 40.7615641, + "minlon": -74.0022207, + "maxlat": 40.7615867, + "maxlon": -74.0020269 + }, + "nodes": [ + 247086017, + 7784129807, + 13899426314 + ], + "geometry": [ + { "lat": 40.7615867, "lon": -74.0020269 }, + { "lat": 40.7615641, "lon": -74.0021816 }, + { "lat": 40.7615825, "lon": -74.0022207 } + ], + "tags": { + "highway": "service", + "oneway": "no" + } +} + + ] +} diff --git a/launch_manhattan_ui.bat b/launch_manhattan_ui.bat new file mode 100644 index 0000000..158130a --- /dev/null +++ b/launch_manhattan_ui.bat @@ -0,0 +1,35 @@ +@echo off +setlocal EnableExtensions +cd /d "%~dp0" + +set "VENV_DIR=%~dp0.venv" +set "VENV_PYTHON=%VENV_DIR%\Scripts\python.exe" +set "BOOTSTRAP_PYTHON=" + +where python >nul 2>&1 +if not errorlevel 1 ( + python -c "import sys; raise SystemExit(0 if sys.version_info >= (3, 11) else 1)" >nul 2>&1 + if not errorlevel 1 set "BOOTSTRAP_PYTHON=python" +) + +if not defined BOOTSTRAP_PYTHON ( + where py >nul 2>&1 + if not errorlevel 1 ( + py -3.11 -c "import sys; raise SystemExit(0 if sys.version_info >= (3, 11) else 1)" >nul 2>&1 + if not errorlevel 1 set "BOOTSTRAP_PYTHON=py -3.11" + ) +) + +if not defined BOOTSTRAP_PYTHON ( + echo Python 3.11 or newer is required. + pause + exit /b 1 +) + +if not exist "%VENV_PYTHON%" %BOOTSTRAP_PYTHON% -m venv "%VENV_DIR%" +"%VENV_PYTHON%" -m pip install --disable-pip-version-check --no-deps -e . +if errorlevel 1 exit /b 1 + +echo Starting the Manhattan Island fire-spread UI at http://127.0.0.1:8000 +start "" /b powershell -NoProfile -WindowStyle Hidden -Command "Start-Sleep -Seconds 2; Start-Process 'http://127.0.0.1:8000'" +"%VENV_PYTHON%" -m fire_spread.web --dataset "%~dp0data\processed\manhattan_network.json" --buildings "%~dp0data\processed\manhattan_buildings.json" --host 127.0.0.1 --port 8000 diff --git a/launch_polatli_ui.bat b/launch_polatli_ui.bat index 30daa31..b830593 100644 --- a/launch_polatli_ui.bat +++ b/launch_polatli_ui.bat @@ -54,16 +54,16 @@ if errorlevel 1 ( exit /b 1 ) -echo Starting the Polatli fire-spread UI at http://127.0.0.1:8000 +echo Starting the Manhattan Island fire-spread UI at http://127.0.0.1:8000 start "" /b powershell -NoProfile -WindowStyle Hidden -Command "Start-Sleep -Seconds 2; Start-Process 'http://127.0.0.1:8000'" "%VENV_PYTHON%" -m fire_spread.web ^ - --dataset "%~dp0data\processed\polatli_network.json" ^ - --buildings "%~dp0data\processed\polatli_buildings.json" ^ + --dataset "%~dp0data\processed\manhattan_network.json" ^ + --buildings "%~dp0data\processed\manhattan_buildings.json" ^ --host 127.0.0.1 ^ --port 8000 set "EXIT_CODE=%ERRORLEVEL%" echo. -echo Polatli UI stopped with exit code %EXIT_CODE%. +echo Manhattan Island UI stopped with exit code %EXIT_CODE%. pause exit /b %EXIT_CODE% diff --git a/src/fire_spread/buildings.py b/src/fire_spread/buildings.py index 545eecb..65c9aff 100644 --- a/src/fire_spread/buildings.py +++ b/src/fire_spread/buildings.py @@ -1,4 +1,4 @@ -"""Convert OSM building footprints and 3D tags into a 2.5D scene layer.""" +"""Convert OSM building footprints and height tags into a 3D scene layer.""" from __future__ import annotations @@ -175,6 +175,116 @@ def normalize_buildings( } +def normalize_buildings_from_osm( + payload: Mapping[str, Any], + *, + origin_lat: float, + origin_lon: float, + source: Mapping[str, Any], +) -> dict[str, Any]: + """Normalize Overpass JSON building ways with inline geometry.""" + elements = payload.get("elements", []) + if not isinstance(elements, list): + raise ValueError("OSM payload elements must be a list") + normalized: list[dict[str, Any]] = [] + height_counts = {"height_tag": 0, "levels_estimate": 0, "footprint_only": 0} + for element in elements: + if not isinstance(element, Mapping) or element.get("type") != "way": + continue + tags = element.get("tags", {}) + if not isinstance(tags, Mapping) or ("building" not in tags and "building:part" not in tags): + continue + geometry = element.get("geometry", []) + coordinates = [ + (float(point["lat"]), float(point["lon"])) + for point in geometry + if isinstance(point, Mapping) and "lat" in point and "lon" in point + ] + if len(coordinates) < 3: + continue + if coordinates[0] != coordinates[-1]: + coordinates.append(coordinates[0]) + polygon = [_local_xy(lat, lon, origin_lat, origin_lon) for lat, lon in coordinates] + area = _area_m2(polygon[:-1] if polygon[0] == polygon[-1] else polygon) + if area < 1.0: + continue + height_m, height_source, levels = _height(tags) + height_counts[height_source] += 1 + way_id = str(element.get("id", "unknown")) + normalized.append( + { + "id": f"osm:building:{way_id}", + "polygon": [[x, y] for x, y in polygon[:-1]], + "area_m2": area, + "height_m": height_m, + "min_height_m": _positive_number(tags.get("min_height")) or 0.0, + "height_source": height_source, + "levels": levels, + "building": tags.get("building"), + "building_part": tags.get("building:part"), + "roof_shape": tags.get("roof:shape"), + "roof_height_m": _positive_number(tags.get("roof:height")), + "tags": { + key: tags[key] + for key in ( + "building", + "building:part", + "building:levels", + "height", + "min_height", + "roof:shape", + "roof:height", + "roof:levels", + "name", + ) + if key in tags + }, + } + ) + source_record = dict(source) + source_record.update( + { + "origin_latitude": origin_lat, + "origin_longitude": origin_lon, + "osm_element_count": len(elements), + "building_count": len(normalized), + "height_source_counts": height_counts, + } + ) + return { + "schema_version": 1, + "coordinate_reference": { + "system": "local equirectangular projection", + "units": "meters", + "origin_latitude": origin_lat, + "origin_longitude": origin_lon, + "source_crs": "EPSG:4326", + }, + "source": source_record, + "buildings": normalized, + } + + +def convert_osm_json( + source_path: str | Path, + output_path: str | Path, + *, + origin_lat: float, + origin_lon: float, + source_metadata: Mapping[str, Any], +) -> dict[str, Any]: + """Convert an Overpass JSON building extract into the 3D layer contract.""" + payload = json.loads(Path(source_path).read_text(encoding="utf-8")) + normalized = normalize_buildings_from_osm( + payload, + origin_lat=origin_lat, + origin_lon=origin_lon, + source=source_metadata, + ) + Path(output_path).write_text(json.dumps(normalized, indent=2, sort_keys=True) + "\n", encoding="utf-8") + return normalized + + def convert_directory( tile_dir: str | Path, output_path: str | Path, @@ -197,7 +307,7 @@ def convert_directory( def build_parser() -> argparse.ArgumentParser: - parser = argparse.ArgumentParser(description="Convert OSM XML map tiles to a 2.5D building layer") + parser = argparse.ArgumentParser(description="Convert OSM XML map tiles to a 3D building layer") parser.add_argument("tile_dir") parser.add_argument("output") parser.add_argument("--origin-latitude", type=float, required=True) diff --git a/src/fire_spread/osm.py b/src/fire_spread/osm.py index f4c5155..64d98c1 100644 --- a/src/fire_spread/osm.py +++ b/src/fire_spread/osm.py @@ -137,11 +137,13 @@ def network_from_osm( node_id = _coordinate_key(lat, lon) if node_id not in nodes: x, y = _local_xy(lat, lon, origin_lat, origin_lon) + elevation = _numeric_tag(point.get("ele") or point.get("elevation")) nodes[node_id] = Node( id=node_id, x=x, y=y, kind="road_node", + elevation_m=elevation, metadata={"latitude": lat, "longitude": lon}, ) diff --git a/src/fire_spread/propagation.py b/src/fire_spread/propagation.py index 641fd2c..afeeaa2 100644 --- a/src/fire_spread/propagation.py +++ b/src/fire_spread/propagation.py @@ -94,6 +94,7 @@ def edge_speed_m_per_min( source_node: str, target_node: str, parameters: FireParameters, + wind_field: Any | None = None, ) -> float: """Return the heuristic spread speed for one oriented edge traversal. @@ -111,11 +112,17 @@ def edge_speed_m_per_min( source = network.nodes[source_node] target = network.nodes[target_node] bearing = _bearing_deg(source.x, source.y, target.x, target.y) - alignment = _wind_alignment(bearing, parameters.wind_direction_deg) + wind_speed_mps = parameters.wind_speed_mps + wind_direction_deg = parameters.wind_direction_deg + if wind_field is not None: + sample = wind_field.sample_edge(source.x, source.y, target.x, target.y) + wind_speed_mps = sample.speed_mps + wind_direction_deg = sample.direction_deg + alignment = _wind_alignment(bearing, wind_direction_deg) wind_factor = max( 0.35, - 1.0 + 0.12 * min(parameters.wind_speed_mps, 20.0) * alignment, + 1.0 + 0.12 * min(wind_speed_mps, 20.0) * alignment, ) slope_factor = max(0.50, min(1.80, 1.0 + 0.80 * oriented_slope)) width_factor = max(0.75, min(1.35, (6.0 / edge.width_m) ** 0.20)) @@ -134,11 +141,15 @@ def _edge_score( network: CityNetwork, edge: Edge, parameters: FireParameters, + wind_field: Any | None = None, ) -> float: directions = [(edge.start, edge.end)] if edge.bidirectional: directions.append((edge.end, edge.start)) - return max(edge_speed_m_per_min(network, edge, source, target, parameters) for source, target in directions) + return max( + edge_speed_m_per_min(network, edge, source, target, parameters, wind_field) + for source, target in directions + ) def simulate( @@ -146,6 +157,7 @@ def simulate( ignition_nodes: list[str] | tuple[str, ...], parameters: FireParameters | None = None, horizon_minutes: float = 60.0, + wind_field: Any | None = None, ) -> SimulationResult: """Propagate the front from ignition nodes until the time horizon.""" if horizon_minutes < 0: @@ -176,7 +188,7 @@ def simulate( if edge.id in started_edges: continue started_edges.add(edge.id) - speed = edge_speed_m_per_min(network, edge, node_id, target_id, params) + speed = edge_speed_m_per_min(network, edge, node_id, target_id, params, wind_field) travel_minutes = edge.length_m / speed completion = arrival + travel_minutes edge_arrivals.append( @@ -199,7 +211,7 @@ def simulate( edge_arrivals.sort(key=lambda item: (item.start_minute, item.edge_id, item.from_node, item.to_node)) raw_scores = { - edge.id: _edge_score(network, edge, params) + edge.id: _edge_score(network, edge, params, wind_field) for edge in sorted(network.edges.values(), key=lambda item: item.id) } minimum = min(raw_scores.values(), default=0.0) diff --git a/src/fire_spread/urban_wind.py b/src/fire_spread/urban_wind.py new file mode 100644 index 0000000..7db301a --- /dev/null +++ b/src/fire_spread/urban_wind.py @@ -0,0 +1,239 @@ +"""A lightweight QUIC-URB-inspired diagnostic urban wind field. + +This is intentionally not a reimplementation of the proprietary QUIC-URB +solver. It rasterizes the available OSM building massing onto a regular grid, +then applies local speed reduction and obstacle-aware steering to a prescribed +background wind. The field is useful as a first coupling between the 3D OSM +scene and the graph fire-front model while the full fluid solver remains out +of scope. +""" + +from __future__ import annotations + +import math +from dataclasses import dataclass +from typing import Any, Iterable, Mapping + + +def _point_in_polygon(x: float, y: float, polygon: list[tuple[float, float]]) -> bool: + """Return whether a point is inside a polygon using ray casting.""" + inside = False + previous_x, previous_y = polygon[-1] + for current_x, current_y in polygon: + crosses = (current_y > y) != (previous_y > y) + if crosses: + intersection_x = (previous_x - current_x) * (y - current_y) / ( + previous_y - current_y + ) + current_x + if x < intersection_x: + inside = not inside + previous_x, previous_y = current_x, current_y + return inside + + +def _effective_height(building: Mapping[str, Any], unknown_height_m: float) -> float: + height = max( + float(building.get("height_m") or 0.0), + float(building.get("min_height_m") or 0.0), + ) + return height if height > 0.0 else unknown_height_m + + +@dataclass(frozen=True, slots=True) +class WindSample: + """Local wind values used by the fire propagation heuristic.""" + + speed_mps: float + direction_deg: float + obstruction: float + building_height_m: float + + +@dataclass(frozen=True, slots=True) +class UrbanWindField: + """Regular-grid urban wind approximation over the OSM building layer.""" + + origin_x: float + origin_y: float + cell_size_m: float + width: int + height: int + heights: tuple[float, ...] + base_wind_speed_mps: float + base_wind_direction_deg: float + unknown_height_m: float + obstacle_cells: int + + @classmethod + def from_buildings( + cls, + buildings: Iterable[Mapping[str, Any]], + bounds: tuple[float, float, float, float], + *, + wind_speed_mps: float, + wind_direction_deg: float, + cell_size_m: float = 100.0, + unknown_height_m: float = 3.0, + ) -> "UrbanWindField": + """Build an obstacle grid from ``(min_x, max_x, min_y, max_y)``.""" + if cell_size_m <= 0: + raise ValueError("cell_size_m must be positive") + if wind_speed_mps < 0: + raise ValueError("wind_speed_mps must not be negative") + if not 0 <= wind_direction_deg < 360: + raise ValueError("wind_direction_deg must be in [0, 360)") + if unknown_height_m < 0: + raise ValueError("unknown_height_m must not be negative") + + min_x, max_x, min_y, max_y = bounds + origin_x = math.floor(min_x / cell_size_m) * cell_size_m - cell_size_m + origin_y = math.floor(min_y / cell_size_m) * cell_size_m - cell_size_m + width = max(1, math.ceil((max_x - origin_x) / cell_size_m) + 1) + height = max(1, math.ceil((max_y - origin_y) / cell_size_m) + 1) + grid = [0.0] * (width * height) + + obstacle_count = 0 + for building in buildings: + raw_polygon = building.get("polygon", []) + if not isinstance(raw_polygon, list): + continue + polygon = [ + (float(point[0]), float(point[1])) + for point in raw_polygon + if isinstance(point, (list, tuple)) and len(point) >= 2 + ] + if len(polygon) < 3: + continue + height_m = _effective_height(building, unknown_height_m) + polygon_min_x = min(point[0] for point in polygon) + polygon_max_x = max(point[0] for point in polygon) + polygon_min_y = min(point[1] for point in polygon) + polygon_max_y = max(point[1] for point in polygon) + min_cell_x = max(0, math.floor((polygon_min_x - origin_x) / cell_size_m)) + max_cell_x = min(width - 1, math.floor((polygon_max_x - origin_x) / cell_size_m)) + min_cell_y = max(0, math.floor((polygon_min_y - origin_y) / cell_size_m)) + max_cell_y = min(height - 1, math.floor((polygon_max_y - origin_y) / cell_size_m)) + + touched: set[int] = set() + for cell_y in range(min_cell_y, max_cell_y + 1): + center_y = origin_y + (cell_y + 0.5) * cell_size_m + for cell_x in range(min_cell_x, max_cell_x + 1): + center_x = origin_x + (cell_x + 0.5) * cell_size_m + if _point_in_polygon(center_x, center_y, polygon): + touched.add(cell_y * width + cell_x) + # Small footprints can fall between cell centres; retain their + # centroid cell so they still influence the local wind field. + centroid_x = sum(point[0] for point in polygon) / len(polygon) + centroid_y = sum(point[1] for point in polygon) / len(polygon) + centroid_cell_x = math.floor((centroid_x - origin_x) / cell_size_m) + centroid_cell_y = math.floor((centroid_y - origin_y) / cell_size_m) + if 0 <= centroid_cell_x < width and 0 <= centroid_cell_y < height: + touched.add(centroid_cell_y * width + centroid_cell_x) + for index in touched: + if grid[index] == 0.0: + obstacle_count += 1 + grid[index] = max(grid[index], height_m) + + return cls( + origin_x=origin_x, + origin_y=origin_y, + cell_size_m=cell_size_m, + width=width, + height=height, + heights=tuple(grid), + base_wind_speed_mps=wind_speed_mps, + base_wind_direction_deg=wind_direction_deg, + unknown_height_m=unknown_height_m, + obstacle_cells=obstacle_count, + ) + + @property + def metadata(self) -> dict[str, Any]: + return { + "enabled": True, + "name": "QUIC-URB-inspired diagnostic urban wind", + "cell_size_m": self.cell_size_m, + "grid": {"width": self.width, "height": self.height}, + "obstacle_cells": self.obstacle_cells, + "base_wind_speed_mps": self.base_wind_speed_mps, + "base_wind_direction_deg": self.base_wind_direction_deg, + "unknown_height_m": self.unknown_height_m, + "note": "Heuristic building blockage and steering; not the QUIC-URB solver.", + } + + def _cell(self, x: float, y: float) -> tuple[int, int]: + return ( + max(0, min(self.width - 1, math.floor((x - self.origin_x) / self.cell_size_m))), + max(0, min(self.height - 1, math.floor((y - self.origin_y) / self.cell_size_m))), + ) + + def _height_at_cell(self, cell_x: int, cell_y: int) -> float: + cell_x = max(0, min(self.width - 1, cell_x)) + cell_y = max(0, min(self.height - 1, cell_y)) + return self.heights[cell_y * self.width + cell_x] + + def sample(self, x: float, y: float) -> WindSample: + """Sample speed and direction at a local projected coordinate.""" + cell_x, cell_y = self._cell(x, y) + center_height = self._height_at_cell(cell_x, cell_y) + west = self._height_at_cell(cell_x - 1, cell_y) + east = self._height_at_cell(cell_x + 1, cell_y) + south = self._height_at_cell(cell_x, cell_y - 1) + north = self._height_at_cell(cell_x, cell_y + 1) + gradient_x = (east - west) / (2.0 * self.cell_size_m) + gradient_y = (north - south) / (2.0 * self.cell_size_m) + gradient_length = math.hypot(gradient_x, gradient_y) + neighbor_height = max(west, east, south, north) + obstruction = min( + 1.0, + max(center_height / 18.0, neighbor_height / 28.0), + ) + + direction_radians = math.radians(self.base_wind_direction_deg) + base_x = math.cos(direction_radians) + base_y = math.sin(direction_radians) + adjusted_x, adjusted_y = base_x, base_y + if gradient_length > 1e-9: + gradient_x /= gradient_length + gradient_y /= gradient_length + incoming = max(0.0, base_x * gradient_x + base_y * gradient_y) + # Remove the component entering a building wall and add a small + # lateral component to represent flow being diverted around it. + adjusted_x -= 0.85 * incoming * gradient_x + adjusted_y -= 0.85 * incoming * gradient_y + side = -1.0 if base_x * gradient_y - base_y * gradient_x > 0 else 1.0 + adjusted_x += side * 0.30 * incoming * (-gradient_y) + adjusted_y += side * 0.30 * incoming * gradient_x + adjusted_length = math.hypot(adjusted_x, adjusted_y) + if adjusted_length > 1e-9: + adjusted_x /= adjusted_length + adjusted_y /= adjusted_length + speed_factor = max(0.25, 1.0 - 0.50 * obstruction) + return WindSample( + speed_mps=self.base_wind_speed_mps * speed_factor, + direction_deg=math.degrees(math.atan2(adjusted_y, adjusted_x)) % 360, + obstruction=obstruction, + building_height_m=center_height, + ) + + def sample_edge( + self, + source_x: float, + source_y: float, + target_x: float, + target_y: float, + ) -> WindSample: + """Average three samples along an edge for stable graph coupling.""" + samples = [ + self.sample(source_x, source_y), + self.sample((source_x + target_x) / 2.0, (source_y + target_y) / 2.0), + self.sample(target_x, target_y), + ] + vector_x = sum(sample.speed_mps * math.cos(math.radians(sample.direction_deg)) for sample in samples) / len(samples) + vector_y = sum(sample.speed_mps * math.sin(math.radians(sample.direction_deg)) for sample in samples) / len(samples) + return WindSample( + speed_mps=math.hypot(vector_x, vector_y), + direction_deg=math.degrees(math.atan2(vector_y, vector_x)) % 360, + obstruction=sum(sample.obstruction for sample in samples) / len(samples), + building_height_m=max(sample.building_height_m for sample in samples), + ) diff --git a/src/fire_spread/web.py b/src/fire_spread/web.py index b8b974c..2820abf 100644 --- a/src/fire_spread/web.py +++ b/src/fire_spread/web.py @@ -3,7 +3,9 @@ from __future__ import annotations import argparse +import gzip import json +import math import threading from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer from pathlib import Path @@ -12,6 +14,7 @@ from .io import load_network from .models import CityNetwork from .propagation import FireParameters, SimulationResult, simulate +from .urban_wind import UrbanWindField class ScenarioService: @@ -24,6 +27,7 @@ def __init__(self, dataset_path: str | Path, buildings_path: str | Path | None = self.source = payload.get("source", {}) self.buildings_path = Path(buildings_path) if buildings_path else None self.buildings_payload = self._load_buildings() + self._prepare_building_index() self.default_ignition = min( self.network.nodes, key=lambda node_id: ( @@ -33,6 +37,11 @@ def __init__(self, dataset_path: str | Path, buildings_path: str | Path | None = ) self._lock = threading.Lock() self._last_result: SimulationResult | None = None + self._last_urban_wind: dict[str, Any] = { + "enabled": False, + "name": "QUIC-URB-inspired diagnostic urban wind", + "note": "Disabled for the current result.", + } def _load_buildings(self) -> dict[str, Any]: if self.buildings_path is None or not self.buildings_path.exists(): @@ -42,6 +51,117 @@ def _load_buildings(self) -> dict[str, Any]: raise ValueError("building dataset must contain a buildings list") return payload + def _prepare_building_index(self) -> None: + """Index building centroids for the web-only fire/building coupling.""" + self._building_cell_size = 100.0 + self._building_records: list[dict[str, Any]] = [] + self._building_index: dict[tuple[int, int], list[int]] = {} + largest_radius = 0.0 + for building in self.buildings_payload.get("buildings", []): + polygon = building.get("polygon", []) + if not isinstance(polygon, list) or len(polygon) < 3: + continue + points = [ + (float(point[0]), float(point[1])) + for point in polygon + if isinstance(point, (list, tuple)) and len(point) >= 2 + ] + if len(points) < 3: + continue + center_x = sum(point[0] for point in points) / len(points) + center_y = sum(point[1] for point in points) / len(points) + radius = max( + math.hypot(point[0] - center_x, point[1] - center_y) + for point in points + ) + record_index = len(self._building_records) + self._building_records.append( + { + "id": str(building.get("id", "")), + "x": center_x, + "y": center_y, + "radius": radius, + } + ) + largest_radius = max(largest_radius, radius) + cell = ( + math.floor(center_x / self._building_cell_size), + math.floor(center_y / self._building_cell_size), + ) + self._building_index.setdefault(cell, []).append(record_index) + self._building_search_radius = max(40.0, largest_radius + 20.0) + + def _building_candidates(self, x1: float, y1: float, x2: float | None = None, y2: float | None = None): + x2 = x1 if x2 is None else x2 + y2 = y1 if y2 is None else y2 + search = self._building_search_radius + cell_size = self._building_cell_size + min_cell_x = math.floor((min(x1, x2) - search) / cell_size) + max_cell_x = math.floor((max(x1, x2) + search) / cell_size) + min_cell_y = math.floor((min(y1, y2) - search) / cell_size) + max_cell_y = math.floor((max(y1, y2) + search) / cell_size) + seen: set[int] = set() + for cell_x in range(min_cell_x, max_cell_x + 1): + for cell_y in range(min_cell_y, max_cell_y + 1): + for record_index in self._building_index.get((cell_x, cell_y), []): + if record_index not in seen: + seen.add(record_index) + yield self._building_records[record_index] + + @staticmethod + def _point_to_segment_distance(point_x: float, point_y: float, x1: float, y1: float, x2: float, y2: float) -> float: + delta_x = x2 - x1 + delta_y = y2 - y1 + length_squared = delta_x * delta_x + delta_y * delta_y + if length_squared == 0: + return math.hypot(point_x - x1, point_y - y1) + projection = ((point_x - x1) * delta_x + (point_y - y1) * delta_y) / length_squared + projection = max(0.0, min(1.0, projection)) + closest_x = x1 + projection * delta_x + closest_y = y1 + projection * delta_y + return math.hypot(point_x - closest_x, point_y - closest_y) + + def _burning_buildings(self, result: SimulationResult) -> list[dict[str, Any]]: + """Return buildings adjacent to the advancing front. + + This is deliberately a presentation coupling: a building is lit when + its footprint centroid is within its footprint radius plus 18 m of an + activated road segment or ignition node. + """ + if not self._building_records: + return [] + fronts: list[tuple[float, float, float, float, float, str | None]] = [] + for node_id in result.ignition_nodes: + node = self.network.nodes[node_id] + fronts.append((node.x, node.y, node.x, node.y, 0.0, None)) + for arrival in result.edge_arrivals: + edge = self.network.edges.get(arrival.edge_id) + if edge is None: + continue + start = self.network.nodes[edge.start] + end = self.network.nodes[edge.end] + fronts.append((start.x, start.y, end.x, end.y, arrival.start_minute, edge.id)) + + burning: dict[str, dict[str, Any]] = {} + for x1, y1, x2, y2, ignition_minute, edge_id in fronts: + for building in self._building_candidates(x1, y1, x2, y2): + distance = self._point_to_segment_distance( + building["x"], building["y"], x1, y1, x2, y2 + ) + if distance > building["radius"] + 18.0: + continue + current = burning.get(building["id"]) + if current is None or ignition_minute < current["ignition_minute"]: + burning[building["id"]] = { + "building_id": building["id"], + "ignition_minute": ignition_minute, + "source_edge_id": edge_id, + } + return sorted( + burning.values(), + key=lambda item: (item["ignition_minute"], item["building_id"]), + ) + def status(self) -> dict[str, Any]: building_source = self.buildings_payload.get("source", {}) return { @@ -49,6 +169,7 @@ def status(self) -> dict[str, Any]: "nodes": len(self.network.nodes), "edges": len(self.network.edges), "default_ignition": self.default_ignition, + "elevation_nodes": sum(node.elevation_m is not None for node in self.network.nodes.values()), "source": dict(self.source), "buildings": len(self.buildings_payload.get("buildings", [])), "building_height_sources": dict(building_source.get("height_source_counts", {})), @@ -58,7 +179,13 @@ def status(self) -> dict[str, Any]: def network_payload(self) -> dict[str, Any]: return { "nodes": [ - {"id": node.id, "x": node.x, "y": node.y} + { + "id": node.id, + "x": node.x, + "y": node.y, + "elevation_m": node.elevation_m, + "metadata": dict(node.metadata), + } for node in self.network.nodes.values() ], "edges": [ @@ -78,6 +205,9 @@ def buildings_payload_for_web(self) -> dict[str, Any]: "height_m": building.get("height_m", 0), "min_height_m": building.get("min_height_m", 0), "height_source": building.get("height_source", "footprint_only"), + "levels": building.get("levels"), + "roof_height_m": building.get("roof_height_m"), + "roof_shape": building.get("roof_shape"), "building": building.get("building"), "building_part": building.get("building_part"), } @@ -102,22 +232,122 @@ def run(self, request: Mapping[str, Any]) -> dict[str, Any]: moisture=float(request.get("moisture", 0.0)), ) horizon_minutes = float(request.get("horizon_minutes", 60.0)) + urban_wind_enabled = request.get("urban_wind_enabled", True) is not False + cell_size_m = float(request.get("urban_wind_cell_size_m", 100.0)) + if not 25.0 <= cell_size_m <= 500.0: + raise ValueError("urban_wind_cell_size_m must be between 25 and 500") + urban_wind = None + if urban_wind_enabled and self.buildings_payload.get("buildings"): + urban_wind = UrbanWindField.from_buildings( + self.buildings_payload.get("buildings", []), + self._model_bounds(), + wind_speed_mps=parameters.wind_speed_mps, + wind_direction_deg=parameters.wind_direction_deg, + cell_size_m=cell_size_m, + ) with self._lock: + self._last_urban_wind = ( + urban_wind.metadata + if urban_wind is not None + else { + "enabled": False, + "name": "QUIC-URB-inspired diagnostic urban wind", + "note": "Disabled or no building geometry was available.", + } + ) self._last_result = simulate( self.network, ignition_nodes, parameters=parameters, horizon_minutes=horizon_minutes, + wind_field=urban_wind, ) return self._result_payload_unlocked() + def _model_bounds(self) -> tuple[float, float, float, float]: + """Return bounds covering the network and available building footprints.""" + points = [(node.x, node.y) for node in self.network.nodes.values()] + for building in self.buildings_payload.get("buildings", []): + polygon = building.get("polygon", []) + points.extend( + (float(point[0]), float(point[1])) + for point in polygon + if isinstance(point, (list, tuple)) and len(point) >= 2 + ) + if not points: + raise ValueError("cannot build urban wind field without geometry") + xs, ys = zip(*points) + return min(xs), max(xs), min(ys), max(ys) + def _result_payload_unlocked(self) -> dict[str, Any]: if self._last_result is None: raise RuntimeError("no simulation result is available") payload = self._last_result.to_dict() payload["dataset"] = self.status() + payload["burning_buildings"] = self._burning_buildings(self._last_result) + payload["building_fire_model"] = { + "description": "Buildings adjacent to an activated road segment or ignition node are highlighted.", + "proximity_m": 18.0, + } + payload["urban_wind"] = dict(self._last_urban_wind) return payload + def flow(self, request: Mapping[str, Any]) -> dict[str, Any]: + """Return a local vector field centered on one selected network node.""" + node_id = str(request.get("node_id", "")).strip() + if not node_id: + raise ValueError("node_id is required") + if node_id not in self.network.nodes: + raise ValueError(f"unknown node: {node_id}") + radius_m = float(request.get("radius_m", 2000.0)) + cell_size_m = float(request.get("cell_size_m", 100.0)) + if not 100.0 <= radius_m <= 5000.0: + raise ValueError("radius_m must be between 100 and 5000") + if not 25.0 <= cell_size_m <= 500.0: + raise ValueError("cell_size_m must be between 25 and 500") + parameters = FireParameters( + wind_direction_deg=float(request.get("wind_direction_deg", 0.0)), + wind_speed_mps=float(request.get("wind_speed_mps", 0.0)), + ) + field = UrbanWindField.from_buildings( + self.buildings_payload.get("buildings", []), + self._model_bounds(), + wind_speed_mps=parameters.wind_speed_mps, + wind_direction_deg=parameters.wind_direction_deg, + cell_size_m=cell_size_m, + ) + center = self.network.nodes[node_id] + samples: list[dict[str, Any]] = [] + extent = int(math.ceil(radius_m / cell_size_m)) + for grid_y in range(-extent, extent + 1): + local_y = grid_y * cell_size_m + for grid_x in range(-extent, extent + 1): + local_x = grid_x * cell_size_m + if math.hypot(local_x, local_y) > radius_m: + continue + sample = field.sample(center.x + local_x, center.y + local_y) + direction_radians = math.radians(sample.direction_deg) + samples.append( + { + "x_m": local_x, + "y_m": local_y, + "speed_mps": sample.speed_mps, + "direction_deg": sample.direction_deg, + "u_mps": sample.speed_mps * math.cos(direction_radians), + "v_mps": sample.speed_mps * math.sin(direction_radians), + "obstruction": sample.obstruction, + "building_height_m": sample.building_height_m, + } + ) + return { + "model": field.metadata, + "node_id": node_id, + "center": {"x": center.x, "y": center.y}, + "radius_m": radius_m, + "cell_size_m": cell_size_m, + "samples": samples, + } + def last_result(self) -> dict[str, Any] | None: with self._lock: return None if self._last_result is None else self._result_payload_unlocked() @@ -131,9 +361,18 @@ def log_message(self, format: str, *args: Any) -> None: print(f"{self.address_string()} - {format % args}") def _send_bytes(self, content: bytes, content_type: str, status: int = 200) -> None: + compressed = False + if content_type.startswith("application/json") and "gzip" in self.headers.get("Accept-Encoding", ""): + gzipped = gzip.compress(content, compresslevel=6) + if len(gzipped) < len(content): + content = gzipped + compressed = True self.send_response(status) self.send_header("Content-Type", content_type) self.send_header("Content-Length", str(len(content))) + if compressed: + self.send_header("Content-Encoding", "gzip") + self.send_header("Vary", "Accept-Encoding") self.send_header("Cache-Control", "no-store") self.end_headers() self.wfile.write(content) @@ -173,15 +412,19 @@ def do_GET(self) -> None: # noqa: N802 - stdlib handler API self._send_json({"error": "not found"}, status=404) def do_POST(self) -> None: # noqa: N802 - stdlib handler API - if self.path != "/api/simulate": + if self.path not in {"/api/simulate", "/api/flow"}: self._send_json({"error": "not found"}, status=404) return try: - result = self.service.run(self._read_json()) + request = self._read_json() + result = self.service.run(request) if self.path == "/api/simulate" else self.service.flow(request) except (json.JSONDecodeError, TypeError, ValueError) as exc: self._send_json({"error": str(exc)}, status=400) return - self._send_json({"result": result, "status": self.service.status()}) + response = {"result": result, "status": self.service.status()} + if self.path == "/api/flow": + response = {"flow": result, "status": self.service.status()} + self._send_json(response) def _serve_static(self, filename: str, content_type: str) -> None: path = self.static_dir / filename @@ -197,12 +440,12 @@ def build_parser() -> argparse.ArgumentParser: parser = argparse.ArgumentParser(description="Serve the urban fire spread web UI") parser.add_argument( "--dataset", - default="data/processed/polatli_network.json", + default="data/processed/manhattan_network.json", help="normalized network JSON path", ) parser.add_argument( "--buildings", - default="data/processed/polatli_buildings.json", + default="data/processed/manhattan_buildings.json", help="normalized building layer JSON path", ) parser.add_argument("--static-dir", default="web", help="directory containing web assets") diff --git a/tests/test_osm.py b/tests/test_osm.py index e1ee493..2b5e1d1 100644 --- a/tests/test_osm.py +++ b/tests/test_osm.py @@ -59,6 +59,26 @@ def test_intersection_shared_by_ways_is_one_graph_node(self): shared_id = "osm:39.0000000:32.0010000" self.assertEqual(len(graph.neighbors(shared_id)), 2) + def test_optional_osm_elevation_is_preserved_on_normalized_nodes(self): + payload = { + "elements": [ + { + "type": "way", + "id": 3, + "tags": {"highway": "service"}, + "geometry": [ + {"lat": 39.0, "lon": 32.0, "ele": "925 m"}, + {"lat": 39.0, "lon": 32.001, "ele": "926"}, + ], + } + ] + } + + graph = network_from_osm(payload, origin_lat=39.0, origin_lon=32.0) + + self.assertEqual(graph.nodes["osm:39.0000000:32.0000000"].elevation_m, 925.0) + self.assertEqual(graph.nodes["osm:39.0000000:32.0010000"].elevation_m, 926.0) + if __name__ == "__main__": unittest.main() diff --git a/tests/test_real_dataset.py b/tests/test_real_dataset.py index 32dc1ca..10416fb 100644 --- a/tests/test_real_dataset.py +++ b/tests/test_real_dataset.py @@ -30,6 +30,21 @@ def test_real_network_runs_from_default_center_ignition(self): self.assertEqual(result["parameters"]["base_rate_m_per_min"], 30.0) self.assertEqual(result["dataset"]["source"]["provider"], "OpenStreetMap contributors") self.assertGreaterEqual(result["dataset"]["buildings"], 10_000) + self.assertIn("burning_buildings", result) + self.assertGreater(len(result["burning_buildings"]), 0) + self.assertIn("building_fire_model", result) + self.assertTrue(result["urban_wind"]["enabled"]) + self.assertEqual(result["urban_wind"]["cell_size_m"], 100.0) + + flow = service.flow({ + "node_id": service.default_ignition, + "radius_m": 500.0, + "cell_size_m": 100.0, + "wind_speed_mps": 8.0, + }) + self.assertEqual(flow["node_id"], service.default_ignition) + self.assertGreater(len(flow["samples"]), 0) + self.assertTrue(any(sample["speed_mps"] > 0 for sample in flow["samples"])) if __name__ == "__main__": diff --git a/tests/test_urban_wind.py b/tests/test_urban_wind.py new file mode 100644 index 0000000..4d36239 --- /dev/null +++ b/tests/test_urban_wind.py @@ -0,0 +1,45 @@ +import unittest + +from fire_spread.urban_wind import UrbanWindField + + +class UrbanWindFieldTests(unittest.TestCase): + def field(self, buildings): + return UrbanWindField.from_buildings( + buildings, + (0.0, 300.0, 0.0, 300.0), + wind_speed_mps=10.0, + wind_direction_deg=0.0, + cell_size_m=50.0, + ) + + def test_open_cell_preserves_background_wind(self): + field = self.field([]) + sample = field.sample(25.0, 25.0) + + self.assertAlmostEqual(sample.speed_mps, 10.0) + self.assertAlmostEqual(sample.direction_deg, 0.0) + self.assertEqual(sample.obstruction, 0.0) + + def test_building_massing_blocks_wind(self): + field = self.field( + [{"id": "building-1", "polygon": [[100, 100], [150, 100], [150, 150], [100, 150]], "height_m": 24}] + ) + sample = field.sample(125.0, 125.0) + + self.assertGreater(sample.obstruction, 0.9) + self.assertLess(sample.speed_mps, 10.0) + self.assertEqual(field.obstacle_cells, 1) + + def test_unknown_height_uses_massing_fallback(self): + field = self.field( + [{"id": "building-1", "polygon": [[100, 100], [150, 100], [150, 150], [100, 150]]}] + ) + sample = field.sample(125.0, 125.0) + + self.assertEqual(sample.building_height_m, 3.0) + self.assertGreater(sample.obstruction, 0.0) + + +if __name__ == "__main__": + unittest.main() diff --git a/web/app.js b/web/app.js index dd5c813..4ca6cd3 100644 --- a/web/app.js +++ b/web/app.js @@ -3,24 +3,41 @@ const state = { network: null, buildings: [], result: null, - edgeElements: new Map(), - nodeElements: new Map(), - projection: null, - heightMode: "source", + scene: null, + renderer: null, + cameras: {}, + activeCamera: null, + world: null, + buildingMesh: null, + roadLines: null, + fireLines: null, + flowLines: null, + flowBoundary: null, + nodePoints: null, + selectedNodePoints: null, + selectedNodePin: null, + selectedNode: null, + ignitionPoints: null, + grid: null, + bounds: null, + burningBuildingIds: new Set(), + heightMode: "massing", verticalScale: 25, camera: { yaw: -0.68, - pitch: 0.62, - zoom: 1, - panX: 0, - panY: 0, + pitch: 0.7, + radius: 6000, + targetX: 0, + targetZ: 0, }, gesture: null, + suppressClick: false, }; -const SCENE_WIDTH = 1000; -const SCENE_HEIGHT = 700; const $ = (id) => document.getElementById(id); +const THREE = window.THREE; +const MIN_CAMERA_RADIUS = 25; +const MAX_CAMERA_RADIUS = 100000; function setRunState(label, detail = "", progress = 12) { $("run-label").textContent = label; @@ -28,6 +45,11 @@ function setRunState(label, detail = "", progress = 12) { $("progress-fill").style.width = `${progress}%`; } +function focusSceneCanvas() { + const canvas = $("building-scene"); + if (canvas) canvas.focus({preventScroll: true}); +} + function escapeText(value) { return String(value ?? "—"); } @@ -60,306 +82,547 @@ function setDatasetMetadata(status) { $("dataset-bbox").textContent = escapeText(bboxText); $("ignition").value = status.default_ignition; $("service-state").textContent = `${status.nodes.toLocaleString()} nodes / ${status.edges.toLocaleString()} links / ${Number(status.buildings || 0).toLocaleString()} buildings`; + $("terrain-status").textContent = status.elevation_nodes + ? `${Number(status.elevation_nodes).toLocaleString()} OSM elevation points` + : "No OSM terrain elevations in source"; + $("wind-model-status").textContent = "QUIC-URB-inspired (experimental)"; } -function makeSvgElement(name, attributes) { - const element = document.createElementNS("http://www.w3.org/2000/svg", name); - for (const [key, value] of Object.entries(attributes)) element.setAttribute(key, value); - return element; +function clamp(value, minimum, maximum) { + return Math.max(minimum, Math.min(maximum, value)); } -function effectiveBuildingHeight(building) { - const sourceHeight = Number(building.height_m) || 0; - if (sourceHeight > 0) return sourceHeight; - return state.heightMode === "massing" ? 3 : 0; +function colorForScore(score) { + const intensity = Math.max(0, Math.min(1, Number(score) || 0)); + const red = 180 + Math.round(intensity * 55); + const green = 208 - Math.round(intensity * 150); + const blue = 197 - Math.round(intensity * 175); + return new THREE.Color(red / 255, green / 255, blue / 255); } -function createSceneProjection() { - const {yaw, pitch} = state.camera; - let minWorldX = Infinity; - let maxWorldX = -Infinity; - let minWorldY = Infinity; - let maxWorldY = -Infinity; - const includeWorld = (x, y) => { - minWorldX = Math.min(minWorldX, x); - maxWorldX = Math.max(maxWorldX, x); - minWorldY = Math.min(minWorldY, y); - maxWorldY = Math.max(maxWorldY, y); - }; - for (const node of state.network.nodes) includeWorld(node.x, node.y); +function makeLineGeometry(segments) { + const positions = new Float32Array(segments.length * 6); + segments.forEach((segment, index) => { + positions.set(segment, index * 6); + }); + const geometry = new THREE.BufferGeometry(); + geometry.setAttribute("position", new THREE.BufferAttribute(positions, 3)); + return geometry; +} + +function networkNode(nodeId) { + return state.network.nodes.find((node) => node.id === nodeId); +} + +function buildingHeight(building) { + const sourceHeight = Math.max(0, Number(building.height_m) || 0); + const base = Math.max(0, Number(building.min_height_m) || 0); + const fallback = state.heightMode === "massing" && sourceHeight <= base ? 3 : sourceHeight; + return Math.max(base, fallback); +} + +function buildingColors(building, side = false) { + if (state.burningBuildingIds.has(building.id)) { + return side ? new THREE.Color(0xb51218) : new THREE.Color(0xff2b2b); + } + if (building.height_source === "height_tag") { + return side ? new THREE.Color(0x9d8d7e) : new THREE.Color(0xd1bca8); + } + if (building.height_source === "levels_estimate") { + return side ? new THREE.Color(0x897f73) : new THREE.Color(0xbeb2a2); + } + return side ? new THREE.Color(0x626a68) : new THREE.Color(0x919c98); +} + +function addVertex(positions, colors, point, color) { + const index = positions.length / 3; + positions.push(point.x, point.y, point.z); + colors.push(color.r, color.g, color.b); + return index; +} + +function createBuildingMesh() { + if (state.buildingMesh) { + state.world.remove(state.buildingMesh); + state.buildingMesh.geometry.dispose(); + state.buildingMesh.material.dispose(); + } + const positions = []; + const colors = []; + const indices = []; for (const building of state.buildings) { - for (const [x, y] of building.polygon) includeWorld(x, y); + const polygon = Array.isArray(building.polygon) ? building.polygon : []; + if (polygon.length < 3) continue; + const base = Math.max(0, Number(building.min_height_m) || 0); + const top = buildingHeight(building); + const topColor = buildingColors(building, false); + const sideColor = buildingColors(building, true); + const points = polygon.map(([x, y]) => ({x: Number(x), y: top, z: -Number(y)})); + const basePoints = polygon.map(([x, y]) => ({x: Number(x), y: base, z: -Number(y)})); + + const topIndices = points.map((point) => addVertex(positions, colors, point, topColor)); + const baseIndices = basePoints.map((point) => addVertex(positions, colors, point, sideColor)); + for (let index = 1; index < topIndices.length - 1; index += 1) { + indices.push(topIndices[0], topIndices[index], topIndices[index + 1]); + } + for (let index = 0; index < points.length; index += 1) { + const next = (index + 1) % points.length; + indices.push( + baseIndices[index], baseIndices[next], topIndices[next], + baseIndices[index], topIndices[next], topIndices[index], + ); + } } - const worldSpan = Math.max(maxWorldX - minWorldX, maxWorldY - minWorldY, 1); - const focal = worldSpan * 2.5; - const mode = $("view-mode").value; - const rawPoint = (x, y, z) => { - const scaledZ = z * state.verticalScale; - const horizontal = Math.cos(yaw) * x - Math.sin(yaw) * y; - const depthGround = Math.sin(yaw) * x + Math.cos(yaw) * y; - const vertical = -Math.sin(pitch) * depthGround - Math.cos(pitch) * scaledZ; - const depth = Math.cos(pitch) * depthGround - Math.sin(pitch) * scaledZ; - const factor = mode === "perspective" ? focal / (focal + depth) : 1; - return {x: horizontal * factor, y: vertical * factor, depth}; - }; + const geometry = new THREE.BufferGeometry(); + geometry.setAttribute("position", new THREE.Float32BufferAttribute(positions, 3)); + geometry.setAttribute("color", new THREE.Float32BufferAttribute(colors, 3)); + geometry.setIndex(indices); + geometry.computeVertexNormals(); + const material = new THREE.MeshStandardMaterial({ + vertexColors: true, + roughness: 0.88, + metalness: 0.02, + side: THREE.DoubleSide, + }); + state.buildingMesh = new THREE.Mesh(geometry, material); + state.world.add(state.buildingMesh); +} + +function createRoadLines() { + if (state.roadLines) { + state.world.remove(state.roadLines); + state.roadLines.geometry.dispose(); + state.roadLines.material.dispose(); + } + const nodesById = new Map(state.network.nodes.map((node) => [node.id, node])); + const segments = []; + for (const edge of state.network.edges) { + const start = nodesById.get(edge.start); + const end = nodesById.get(edge.end); + if (!start || !end) continue; + segments.push([start.x, 0.35, -start.y, end.x, 0.35, -end.y]); + } + state.roadLines = new THREE.LineSegments( + makeLineGeometry(segments), + new THREE.LineBasicMaterial({color: 0x8f9996, transparent: true, opacity: 0.7}), + ); + state.world.add(state.roadLines); +} + +function createNodePoints() { + if (state.nodePoints) { + state.world.remove(state.nodePoints); + state.nodePoints.geometry.dispose(); + state.nodePoints.material.dispose(); + } + const positions = new Float32Array(state.network.nodes.length * 3); + state.network.nodes.forEach((node, index) => { + positions.set([node.x, 0.7, -node.y], index * 3); + }); + const geometry = new THREE.BufferGeometry(); + geometry.setAttribute("position", new THREE.BufferAttribute(positions, 3)); + state.nodePoints = new THREE.Points( + geometry, + new THREE.PointsMaterial({color: 0xd7e2df, size: 6, sizeAttenuation: true, transparent: true, opacity: 0.92}), + ); + state.nodePoints.userData.nodeIds = state.network.nodes.map((node) => node.id); + state.world.add(state.nodePoints); +} + +function setSelectedNode(nodeId) { + const node = networkNode(nodeId); + if (!node) return; + state.selectedNode = node; + clearFlowField(); + if (state.selectedNodePoints) { + state.world.remove(state.selectedNodePoints); + state.selectedNodePoints.geometry.dispose(); + state.selectedNodePoints.material.dispose(); + } + if (state.selectedNodePin) { + state.world.remove(state.selectedNodePin); + state.selectedNodePin.geometry.dispose(); + state.selectedNodePin.material.dispose(); + } + const markerGeometry = new THREE.BufferGeometry(); + markerGeometry.setAttribute("position", new THREE.Float32BufferAttribute([node.x, 0.9, -node.y], 3)); + state.selectedNodePoints = new THREE.Points( + markerGeometry, + new THREE.PointsMaterial({color: 0xffd166, size: 20, sizeAttenuation: true}), + ); + const pinGeometry = makeLineGeometry([[node.x, 0.05, -node.y, node.x, 0.9, -node.y]]); + state.selectedNodePin = new THREE.Line( + pinGeometry, + new THREE.LineBasicMaterial({color: 0xffd166, transparent: true, opacity: 0.9}), + ); + state.world.add(state.selectedNodePin, state.selectedNodePoints); + const metadata = node.metadata || {}; + const coordinates = Number.isFinite(Number(metadata.latitude)) && Number.isFinite(Number(metadata.longitude)) + ? ` / ${Number(metadata.latitude).toFixed(6)}, ${Number(metadata.longitude).toFixed(6)}` + : ""; + const elevation = node.elevation_m == null ? "" : ` / ele ${Number(node.elevation_m).toFixed(1)} m`; + $("node-selection").textContent = `Selected ${node.id}${coordinates}${elevation}`; + $("selected-node-pin").classList.remove("is-hidden"); + $("selected-node-pin").querySelector(".selected-node-label").textContent = `SELECTED · ${node.id}`; + $("run-flow").disabled = false; + $("flow-status").textContent = `Selected ${node.id}; ready to run flow`; + $("ignition").value = node.id; + setRunState("Ignition selected.", node.id, state.result ? 100 : 20); + updateSelectedNodeOverlay(); +} + +function clearFlowField() { + for (const key of ["flowLines", "flowBoundary"]) { + const object = state[key]; + if (!object) continue; + state.world.remove(object); + object.geometry.dispose(); + object.material.dispose(); + state[key] = null; + } +} + +function updateSelectedNodeOverlay() { + const overlay = $("selected-node-pin"); + if (!overlay || !state.selectedNode || !state.activeCamera || !state.world) return; + const rect = $("building-scene").getBoundingClientRect(); + const projected = new THREE.Vector3(state.selectedNode.x, 0.8, -state.selectedNode.y); + state.world.localToWorld(projected); + projected.project(state.activeCamera); + const visible = projected.z >= -1 && projected.z <= 1; + if (!visible) { + overlay.classList.add("is-hidden"); + return; + } + overlay.classList.remove("is-hidden"); + overlay.style.left = `${(projected.x * 0.5 + 0.5) * rect.width}px`; + overlay.style.top = `${(-projected.y * 0.5 + 0.5) * rect.height}px`; +} + +function createGround() { + if (state.grid) { + state.world.remove(state.grid); + state.grid.geometry.dispose(); + state.grid.material.dispose(); + } + const size = Math.max(state.bounds.spanX, state.bounds.spanY) * 1.12; + const ground = new THREE.Mesh( + new THREE.PlaneGeometry(size, size), + new THREE.MeshStandardMaterial({color: 0x25302f, roughness: 1, metalness: 0}), + ); + ground.rotation.x = -Math.PI / 2; + ground.position.set(state.bounds.centerX, -0.2, -state.bounds.centerY); + state.world.add(ground); + state.grid = new THREE.GridHelper(size, 36, 0x52615d, 0x35403e); + state.grid.position.set(state.bounds.centerX, -0.16, -state.bounds.centerY); + state.world.add(state.grid); +} + +function createScene() { + if (!THREE) throw new Error("Three.js failed to load"); + const canvas = $("building-scene"); + state.renderer = new THREE.WebGLRenderer({canvas, antialias: true, logarithmicDepthBuffer: true}); + state.renderer.setPixelRatio(Math.min(window.devicePixelRatio || 1, 2)); + state.renderer.setClearColor(0x141b1b, 1); + state.renderer.outputColorSpace = THREE.SRGBColorSpace; + state.scene = new THREE.Scene(); + // The study area is already large; distance fog hides the far side of the city. + state.scene.fog = null; + state.world = new THREE.Group(); + state.scene.add(state.world); + state.scene.add(new THREE.HemisphereLight(0xc6d4d0, 0x121817, 2.1)); + const sun = new THREE.DirectionalLight(0xffe5c7, 2.4); + sun.position.set(-900, 1600, 1100); + state.scene.add(sun); + state.cameras.perspective = new THREE.PerspectiveCamera(48, 1, 0.5, 250000); + state.cameras.orthographic = new THREE.OrthographicCamera(-1000, 1000, 700, -700, 0.5, 250000); + state.activeCamera = state.cameras.perspective; + canvas.addEventListener("pointerdown", beginSceneGesture); + canvas.addEventListener("pointermove", moveSceneGesture); + canvas.addEventListener("pointerup", endSceneGesture); + canvas.addEventListener("pointercancel", endSceneGesture); + canvas.addEventListener("wheel", zoomScene, {passive: false}); + canvas.addEventListener("click", selectNodeAtPointer); + canvas.addEventListener("contextmenu", (event) => event.preventDefault()); + window.addEventListener("keydown", handleSceneKeydown); + window.addEventListener("resize", resizeScene); + resizeScene(); + requestAnimationFrame(renderFrame); +} +function calculateBounds() { let minX = Infinity; let maxX = -Infinity; let minY = Infinity; let maxY = -Infinity; - const includeSample = (x, y, z) => { - const sample = rawPoint(x, y, z); - minX = Math.min(minX, sample.x); - maxX = Math.max(maxX, sample.x); - minY = Math.min(minY, sample.y); - maxY = Math.max(maxY, sample.y); + const include = (x, y) => { + minX = Math.min(minX, x); + maxX = Math.max(maxX, x); + minY = Math.min(minY, y); + maxY = Math.max(maxY, y); }; - for (const node of state.network.nodes) includeSample(node.x, node.y, 0); + for (const node of state.network.nodes) include(Number(node.x), Number(node.y)); for (const building of state.buildings) { - const base = Number(building.min_height_m) || 0; - const top = Math.max(base, effectiveBuildingHeight(building)); - for (const [x, y] of building.polygon) { - includeSample(x, y, base); - includeSample(x, y, top); - } + for (const [x, y] of building.polygon || []) include(Number(x), Number(y)); } - const pad = 30; const spanX = Math.max(maxX - minX, 1); const spanY = Math.max(maxY - minY, 1); - const scale = Math.min((SCENE_WIDTH - 2 * pad) / spanX, (SCENE_HEIGHT - 2 * pad) / spanY) * state.camera.zoom; - const centerX = SCENE_WIDTH / 2 + state.camera.panX; - const centerY = SCENE_HEIGHT / 2 + state.camera.panY; - const centerRawX = (minX + maxX) / 2; - const centerRawY = (minY + maxY) / 2; - return (x, y, z = 0) => { - const raw = rawPoint(x, y, z); - return { - x: centerX + (raw.x - centerRawX) * scale, - y: centerY - (raw.y - centerRawY) * scale, - depth: raw.depth, - }; + state.bounds = { + minX, maxX, minY, maxY, spanX, spanY, + centerX: (minX + maxX) / 2, + centerY: (minY + maxY) / 2, + span: Math.max(spanX, spanY), }; + state.camera.targetX = state.bounds.centerX; + state.camera.targetZ = -state.bounds.centerY; + state.camera.radius = clamp(state.bounds.span * 1.25, MIN_CAMERA_RADIUS, MAX_CAMERA_RADIUS); } -function drawBuildings() { - const canvas = $("building-scene"); - const context = canvas.getContext("2d"); - context.clearRect(0, 0, SCENE_WIDTH, SCENE_HEIGHT); - if (!state.projection) return; - const ordered = state.buildings.map((building) => { - const base = Number(building.min_height_m) || 0; - const top = Math.max(base, effectiveBuildingHeight(building)); - const basePoints = building.polygon.map(([x, y]) => state.projection(x, y, base)); - const topPoints = building.polygon.map(([x, y]) => state.projection(x, y, top)); - const depth = basePoints.reduce((sum, point) => sum + point.depth, 0) / Math.max(basePoints.length, 1); - return {building, basePoints, topPoints, top, base, depth}; - }).sort((a, b) => b.depth - a.depth); - - for (const item of ordered) { - const {building, basePoints, topPoints, top, base} = item; - const hasHeight = top - base > 0.05; - context.beginPath(); - basePoints.forEach((point, index) => { - if (index === 0) context.moveTo(point.x, point.y); - else context.lineTo(point.x, point.y); - }); - context.closePath(); - context.fillStyle = hasHeight ? "#d8d3cb" : "#e6e2da"; - context.globalAlpha = hasHeight ? 0.9 : 0.62; - context.fill(); - context.strokeStyle = "#b5b0a8"; - context.lineWidth = 0.35; - context.stroke(); - if (hasHeight) { - for (let index = 0; index < topPoints.length; index += 1) { - const next = (index + 1) % topPoints.length; - context.beginPath(); - context.moveTo(basePoints[index].x, basePoints[index].y); - context.lineTo(basePoints[next].x, basePoints[next].y); - context.lineTo(topPoints[next].x, topPoints[next].y); - context.lineTo(topPoints[index].x, topPoints[index].y); - context.closePath(); - context.fillStyle = building.height_source === "footprint_only" ? "#c6c0b8" : "#b9b3aa"; - context.fill(); - context.stroke(); - } - context.beginPath(); - topPoints.forEach((point, index) => { - if (index === 0) context.moveTo(point.x, point.y); - else context.lineTo(point.x, point.y); - }); - context.closePath(); - context.fillStyle = building.height_source === "height_tag" ? "#b8b0a5" : "#cec7bd"; - context.fill(); - context.stroke(); - } +function updateCamera() { + const {yaw, pitch, radius, targetX, targetZ} = state.camera; + const target = new THREE.Vector3(targetX, 0, targetZ); + const horizontal = Math.cos(pitch) * radius; + const position = new THREE.Vector3( + targetX + Math.sin(yaw) * horizontal, + Math.sin(pitch) * radius, + targetZ + Math.cos(yaw) * horizontal, + ); + for (const camera of Object.values(state.cameras)) { + camera.position.copy(position); + camera.lookAt(target); } - context.globalAlpha = 1; + const aspect = Math.max(1, $("building-scene").clientWidth / Math.max(1, $("building-scene").clientHeight)); + state.cameras.perspective.aspect = aspect; + state.cameras.perspective.updateProjectionMatrix(); + const viewHeight = Math.max(100, radius * 0.9); + state.cameras.orthographic.left = -viewHeight * aspect; + state.cameras.orthographic.right = viewHeight * aspect; + state.cameras.orthographic.top = viewHeight; + state.cameras.orthographic.bottom = -viewHeight; + state.cameras.orthographic.updateProjectionMatrix(); } -function updateSceneGeometry() { - if (!state.network) return; - state.projection = createSceneProjection(); - const nodesById = new Map(state.network.nodes.map((node) => [node.id, node])); - for (const edge of state.network.edges) { - const line = state.edgeElements.get(edge.id); - if (!line) continue; - const start = state.projection(nodesById.get(edge.start).x, nodesById.get(edge.start).y); - const end = state.projection(nodesById.get(edge.end).x, nodesById.get(edge.end).y); - line.setAttribute("x1", start.x); - line.setAttribute("y1", start.y); - line.setAttribute("x2", end.x); - line.setAttribute("y2", end.y); - } - for (const node of state.network.nodes) { - const circle = state.nodeElements.get(node.id); - if (!circle) continue; - const point = state.projection(node.x, node.y); - circle.setAttribute("cx", point.x); - circle.setAttribute("cy", point.y); - } - drawBuildings(); +function resizeScene() { + if (!state.renderer) return; + const canvas = $("building-scene"); + const width = Math.max(1, canvas.clientWidth); + const height = Math.max(1, canvas.clientHeight); + state.renderer.setSize(width, height, false); + updateCamera(); } -function clamp(value, minimum, maximum) { - return Math.max(minimum, Math.min(maximum, value)); +function renderFrame() { + if (state.renderer && state.scene && state.activeCamera) state.renderer.render(state.scene, state.activeCamera); + updateSelectedNodeOverlay(); + requestAnimationFrame(renderFrame); } -function scenePoint(event) { - const canvas = $("building-scene"); - const rect = canvas.getBoundingClientRect(); - return { - x: (event.clientX - rect.left) * SCENE_WIDTH / rect.width, - y: (event.clientY - rect.top) * SCENE_HEIGHT / rect.height, - }; +function updateWorldScale() { + if (!state.world) return; + state.world.scale.y = state.verticalScale; + updateCamera(); } -function resetSceneView() { - state.camera = {yaw: -0.68, pitch: 0.62, zoom: 1, panX: 0, panY: 0}; - updateSceneGeometry(); - updateSceneSummary(); +function renderNetwork() { + calculateBounds(); + createGround(); + createBuildingMesh(); + createRoadLines(); + createNodePoints(); + createFireLines([]); + createIgnitionPoints([]); + updateWorldScale(); + $("map-message").textContent = "Click a junction to set ignition. WASD pan · arrows rotate · E/Q zoom."; } -function beginSceneGesture(event) { - if (event.button !== 0 && event.button !== 2) return; - const point = scenePoint(event); - state.gesture = { - pointerId: event.pointerId, - mode: event.shiftKey || event.button === 2 ? "rotate" : "pan", - x: point.x, - y: point.y, +function renderFlowField(flow) { + clearFlowField(); + const center = flow.center; + const samples = flow.samples || []; + const cellSize = Number(flow.cell_size_m) || 50; + const radius = Number(flow.radius_m) || 1; + const maxSpeed = Math.max(...samples.map((sample) => Number(sample.speed_mps) || 0), 0); + const sampleGrid = new Map( + samples.map((sample) => [`${Math.round(Number(sample.x_m) / cellSize)}:${Math.round(Number(sample.y_m) / cellSize)}`, sample]), + ); + const sampleAt = (x, y) => { + if (Math.hypot(x, y) > radius) return null; + return sampleGrid.get(`${Math.round(x / cellSize)}:${Math.round(y / cellSize)}`) || null; }; - event.currentTarget.setPointerCapture(event.pointerId); - event.currentTarget.classList.add("dragging"); - event.preventDefault(); -} - -function moveSceneGesture(event) { - if (!state.gesture || state.gesture.pointerId !== event.pointerId) return; - const point = scenePoint(event); - const deltaX = point.x - state.gesture.x; - const deltaY = point.y - state.gesture.y; - if (state.gesture.mode === "rotate") { - state.camera.yaw += deltaX * 0.01; - state.camera.pitch = clamp(state.camera.pitch + deltaY * 0.008, 0.18, 1.35); - } else { - state.camera.panX += deltaX; - state.camera.panY += deltaY; + const trace = (seedX, seedY, direction) => { + const points = []; + let x = seedX; + let y = seedY; + const stepSize = cellSize * 0.62; + const maxSteps = Math.min(100, Math.ceil(radius / stepSize) * 2 + 6); + for (let step = 0; step < maxSteps; step += 1) { + const sample = sampleAt(x, y); + if (!sample || Number(sample.speed_mps) <= 0.001) break; + points.push({x, y, sample}); + const speed = Number(sample.speed_mps); + x += direction * Number(sample.u_mps) / speed * stepSize; + y += direction * Number(sample.v_mps) / speed * stepSize; + } + return points; + }; + const positions = []; + const colors = []; + const addSegment = (x1, z1, x2, z2, color) => { + positions.push(x1, 4.0, z1, x2, 4.0, z2); + colors.push(color.r, color.g, color.b, color.r, color.g, color.b); + }; + const seedSpacing = cellSize * 3; + let streamlineCount = 0; + for (let seedY = -radius + cellSize; seedY <= radius - cellSize; seedY += seedSpacing) { + for (let seedX = -radius + cellSize; seedX <= radius - cellSize; seedX += seedSpacing) { + if (Math.hypot(seedX, seedY) > radius) continue; + const backwards = trace(seedX, seedY, -1).reverse(); + const forwards = trace(seedX, seedY, 1); + const path = backwards.concat(forwards.slice(1)); + if (path.length < 2) continue; + streamlineCount += 1; + for (let index = 1; index < path.length; index += 1) { + const previous = path[index - 1]; + const current = path[index]; + const speed = Number(current.sample.speed_mps) || 0; + const intensity = maxSpeed ? speed / maxSpeed : 0; + const color = new THREE.Color().setHSL(0.53 - 0.12 * intensity, 0.82, 0.43 + 0.15 * intensity); + addSegment( + Number(center.x) + previous.x, + -(Number(center.y) + previous.y), + Number(center.x) + current.x, + -(Number(center.y) + current.y), + color, + ); + } + } } - state.gesture.x = point.x; - state.gesture.y = point.y; - updateSceneGeometry(); - updateSceneSummary(); - event.preventDefault(); -} + const geometry = new THREE.BufferGeometry(); + geometry.setAttribute("position", new THREE.Float32BufferAttribute(positions, 3)); + geometry.setAttribute("color", new THREE.Float32BufferAttribute(colors, 3)); + state.flowLines = new THREE.LineSegments( + geometry, + new THREE.LineBasicMaterial({vertexColors: true, transparent: true, opacity: 0.92, depthTest: false}), + ); + state.world.add(state.flowLines); -function endSceneGesture(event) { - if (!state.gesture || state.gesture.pointerId !== event.pointerId) return; - if (event.currentTarget.hasPointerCapture(event.pointerId)) { - event.currentTarget.releasePointerCapture(event.pointerId); + const boundaryPoints = []; + for (let index = 0; index < 64; index += 1) { + const a = index / 64 * Math.PI * 2; + const b = (index + 1) / 64 * Math.PI * 2; + boundaryPoints.push( + Number(center.x) + Math.cos(a) * radius, 2.8, -(Number(center.y) + Math.sin(a) * radius), + Number(center.x) + Math.cos(b) * radius, 2.8, -(Number(center.y) + Math.sin(b) * radius), + ); } - state.gesture = null; - event.currentTarget.classList.remove("dragging"); + const boundaryGeometry = new THREE.BufferGeometry(); + boundaryGeometry.setAttribute("position", new THREE.Float32BufferAttribute(boundaryPoints, 3)); + state.flowBoundary = new THREE.LineSegments( + boundaryGeometry, + new THREE.LineBasicMaterial({color: 0x167a8a, transparent: true, opacity: 0.6, depthTest: false}), + ); + state.world.add(state.flowBoundary); + $("flow-status").textContent = `${flow.node_id}: ${streamlineCount.toLocaleString()} flow lines / ${radius.toFixed(0)} m radius / max ${maxSpeed.toFixed(1)} m/s`; } -function zoomScene(event) { - event.preventDefault(); - const cursor = scenePoint(event); - const oldZoom = state.camera.zoom; - const nextZoom = clamp(oldZoom * Math.exp(-event.deltaY * 0.001), 0.25, 8); - const factor = nextZoom / oldZoom; - state.camera.zoom = nextZoom; - state.camera.panX = cursor.x - (cursor.x - state.camera.panX) * factor; - state.camera.panY = cursor.y - (cursor.y - state.camera.panY) * factor; - updateSceneGeometry(); - updateSceneSummary(); +async function runFlowField() { + if (!state.selectedNode) { + $("flow-status").textContent = "Select a node first"; + return; + } + const button = $("run-flow"); + button.disabled = true; + $("flow-status").textContent = "Computing local urban flow…"; + const body = { + node_id: state.selectedNode.id, + radius_m: Number($("flow-radius").value), + cell_size_m: Number($("urban-wind-cell").value), + wind_direction_deg: Number($("wind-direction").value), + wind_speed_mps: Number($("wind-speed").value), + }; + try { + const response = await fetch("/api/flow", { + method: "POST", + headers: {"Content-Type": "application/json"}, + body: JSON.stringify(body), + }); + const payload = await response.json(); + if (!response.ok) throw new Error(payload.error || "Flow simulation failed"); + renderFlowField(payload.flow); + } catch (error) { + $("flow-status").textContent = `Flow failed: ${error.message}`; + } finally { + button.disabled = false; + focusSceneCanvas(); + } } -function renderNetwork() { - const svg = $("network-map"); - svg.replaceChildren(); - state.edgeElements.clear(); - state.nodeElements.clear(); - const nodesById = new Map(state.network.nodes.map((node) => [node.id, node])); - const edgeLayer = makeSvgElement("g", {"aria-hidden": "true"}); - const nodeLayer = makeSvgElement("g", {"aria-label": "network junctions"}); - for (const edge of state.network.edges) { - const line = makeSvgElement("line", {class: "network-link"}); - edgeLayer.appendChild(line); - state.edgeElements.set(edge.id, line); +function createFireLines(arrivals) { + if (state.fireLines) { + state.world.remove(state.fireLines); + state.fireLines.geometry.dispose(); + state.fireLines.material.dispose(); } - for (const node of state.network.nodes) { - const circle = makeSvgElement("circle", {r: 1.5, class: "map-node"}); - circle.setAttribute("tabindex", "0"); - circle.setAttribute("aria-label", `Use node ${node.id} as ignition`); - const selectNode = () => { - $("ignition").value = node.id; - for (const item of state.nodeElements.values()) item.classList.remove("selected"); - circle.classList.add("selected"); - setRunState("Ignition selected.", node.id, state.result ? 100 : 20); - }; - circle.addEventListener("click", selectNode); - circle.addEventListener("keydown", (event) => { - if (event.key === "Enter" || event.key === " ") selectNode(); - }); - nodeLayer.appendChild(circle); - state.nodeElements.set(node.id, circle); + const nodesById = new Map(state.network.nodes.map((node) => [node.id, node])); + const segments = []; + const colors = []; + for (const arrival of arrivals) { + const edge = state.network.edges.find((item) => item.id === arrival.edge_id); + if (!edge) continue; + const start = nodesById.get(edge.start); + const end = nodesById.get(edge.end); + if (!start || !end) continue; + segments.push(start.x, 1.7, -start.y, end.x, 1.7, -end.y); + const color = colorForScore(state.result?.edge_scores?.[edge.id] ?? 0.5); + colors.push(color.r, color.g, color.b, color.r, color.g, color.b); } - svg.append(edgeLayer, nodeLayer); - updateSceneGeometry(); - $("map-message").textContent = "Click a junction to set ignition."; + const geometry = new THREE.BufferGeometry(); + geometry.setAttribute("position", new THREE.Float32BufferAttribute(segments, 3)); + geometry.setAttribute("color", new THREE.Float32BufferAttribute(colors, 3)); + state.fireLines = new THREE.LineSegments( + geometry, + new THREE.LineBasicMaterial({vertexColors: true, transparent: true, opacity: 1}), + ); + state.world.add(state.fireLines); } -function colorForScore(score) { - const intensity = Math.max(0, Math.min(1, Number(score) || 0)); - const red = 180 + Math.round(intensity * 55); - const green = 208 - Math.round(intensity * 150); - const blue = 197 - Math.round(intensity * 175); - return `rgb(${red}, ${green}, ${blue})`; +function createIgnitionPoints(nodeIds) { + if (state.ignitionPoints) { + state.world.remove(state.ignitionPoints); + state.ignitionPoints.geometry.dispose(); + state.ignitionPoints.material.dispose(); + } + const nodes = nodeIds.map(networkNode).filter(Boolean); + const positions = new Float32Array(nodes.length * 3); + nodes.forEach((node, index) => positions.set([node.x, 3.2, -node.y], index * 3)); + const geometry = new THREE.BufferGeometry(); + geometry.setAttribute("position", new THREE.BufferAttribute(positions, 3)); + state.ignitionPoints = new THREE.Points( + geometry, + new THREE.PointsMaterial({color: 0xff6b46, size: 13, sizeAttenuation: true}), + ); + state.world.add(state.ignitionPoints); } function renderResult(result) { state.result = result; - const arrivals = new Map(result.edge_arrivals.map((arrival) => [arrival.edge_id, arrival])); - for (const [edgeId, line] of state.edgeElements) { - const arrival = arrivals.get(edgeId); - line.classList.toggle("active", Boolean(arrival)); - if (arrival) { - line.style.stroke = colorForScore(result.edge_scores[edgeId]); - line.style.opacity = "0.95"; - } else { - line.style.stroke = "#b7b8b2"; - line.style.opacity = "0.55"; - } - } - for (const [nodeId, circle] of state.nodeElements) { - circle.classList.toggle("selected", result.ignition_nodes.includes(nodeId)); - } + state.burningBuildingIds = new Set( + (result.burning_buildings || []).map((building) => building.building_id), + ); + createBuildingMesh(); + createFireLines(result.edge_arrivals || []); + createIgnitionPoints(result.ignition_nodes || []); $("reached-nodes").textContent = Object.keys(result.arrival_times).length.toLocaleString(); $("activated-links").textContent = result.edge_arrivals.length.toLocaleString(); + $("burning-buildings").textContent = state.burningBuildingIds.size.toLocaleString(); $("result-horizon").textContent = `${Number(result.horizon_minutes).toFixed(1)} min`; + const wind = result.urban_wind || {}; + $("wind-model-status").textContent = wind.enabled + ? `${wind.name} / ${Number(wind.cell_size_m).toFixed(0)} m grid / ${Number(wind.obstacle_cells).toLocaleString()} obstacle cells` + : "Urban wind disabled"; const rows = $("hotspot-rows"); rows.replaceChildren(); + const arrivals = new Map(result.edge_arrivals.map((arrival) => [arrival.edge_id, arrival])); const ranked = [...arrivals.keys()] .map((edgeId) => [edgeId, result.edge_scores[edgeId] ?? 0]) .sort((a, b) => { @@ -398,6 +661,8 @@ async function runScenario(event) { wind_direction_deg: Number($("wind-direction").value), wind_speed_mps: Number($("wind-speed").value), moisture: Number($("moisture").value), + urban_wind_enabled: $("urban-wind").checked, + urban_wind_cell_size_m: Number($("urban-wind-cell").value), }; try { const response = await fetch("/api/simulate", { @@ -412,6 +677,7 @@ async function runScenario(event) { setRunState("Simulation failed.", error.message, 12); } finally { button.disabled = false; + focusSceneCanvas(); } } @@ -421,23 +687,155 @@ function downloadResult() { const url = URL.createObjectURL(blob); const link = document.createElement("a"); link.href = url; - link.download = "polatli-fire-spread-result.json"; + link.download = "manhattan-fire-spread-result.json"; link.click(); URL.revokeObjectURL(url); + focusSceneCanvas(); } function updateSceneSummary() { const mode = $("view-mode").value; const heightText = state.heightMode === "massing" ? "3 m fallback enabled" : "source heights only"; const yawDegrees = Math.round(((state.camera.yaw * 180 / Math.PI) % 360 + 360) % 360); - $("scene-summary").textContent = `${mode} / ${state.camera.zoom.toFixed(2)}× zoom / ${state.verticalScale}× vertical / ${heightText} / yaw ${yawDegrees}°`; + const radiusText = state.camera.radius >= 1000 + ? `${(state.camera.radius / 1000).toFixed(1)} km radius` + : `${state.camera.radius.toFixed(0)} m radius`; + $("scene-summary").textContent = `${mode} / ${radiusText} / ${state.verticalScale}x vertical / ${heightText} / yaw ${yawDegrees} deg`; } function setSceneMode() { state.heightMode = $("height-mode").value; state.verticalScale = Number($("vertical-scale").value); - updateSceneGeometry(); + if (state.world) { + createBuildingMesh(); + updateWorldScale(); + } + state.activeCamera = state.cameras[$("view-mode").value] || state.cameras.perspective; updateSceneSummary(); + focusSceneCanvas(); +} + +function resetSceneView() { + calculateBounds(); + state.camera.yaw = -0.68; + state.camera.pitch = 0.7; + updateCamera(); + updateSceneSummary(); + focusSceneCanvas(); +} + +function beginSceneGesture(event) { + if (event.button !== 0 && event.button !== 2) return; + state.gesture = { + pointerId: event.pointerId, + mode: event.shiftKey || event.button === 2 ? "pan" : "orbit", + x: event.clientX, + y: event.clientY, + moved: false, + }; + state.suppressClick = false; + event.currentTarget.setPointerCapture(event.pointerId); + event.currentTarget.classList.add("dragging"); + event.preventDefault(); +} + +function moveSceneGesture(event) { + if (!state.gesture || state.gesture.pointerId !== event.pointerId) return; + const deltaX = event.clientX - state.gesture.x; + const deltaY = event.clientY - state.gesture.y; + if (Math.hypot(deltaX, deltaY) > 3) state.gesture.moved = true; + if (state.gesture.mode === "orbit") { + state.camera.yaw += deltaX * 0.008; + state.camera.pitch = clamp(state.camera.pitch + deltaY * 0.006, 0.12, 1.42); + } else { + const panScale = state.camera.radius * 0.0015; + state.camera.targetX -= deltaX * panScale; + state.camera.targetZ += deltaY * panScale; + } + state.gesture.x = event.clientX; + state.gesture.y = event.clientY; + updateCamera(); + updateSceneSummary(); + event.preventDefault(); +} + +function endSceneGesture(event) { + if (!state.gesture || state.gesture.pointerId !== event.pointerId) return; + const moved = state.gesture.moved; + if (event.currentTarget.hasPointerCapture(event.pointerId)) event.currentTarget.releasePointerCapture(event.pointerId); + state.gesture = null; + event.currentTarget.classList.remove("dragging"); + if (moved) { + state.suppressClick = true; + window.setTimeout(() => { state.suppressClick = false; }, 0); + } +} + +function zoomScene(event) { + event.preventDefault(); + state.camera.radius = clamp( + state.camera.radius * Math.exp(event.deltaY * 0.001), + MIN_CAMERA_RADIUS, + MAX_CAMERA_RADIUS, + ); + updateCamera(); + updateSceneSummary(); +} + +function panCamera(forward, right) { + const amount = clamp(state.camera.radius * 0.04, 20, 1200); + state.camera.targetX += (-Math.sin(state.camera.yaw) * forward + Math.cos(state.camera.yaw) * right) * amount; + state.camera.targetZ += (-Math.cos(state.camera.yaw) * forward - Math.sin(state.camera.yaw) * right) * amount; +} + +function handleSceneKeydown(event) { + if (!state.bounds || !state.activeCamera) return; + const activeElement = document.activeElement; + const editingText = activeElement && ( + ["INPUT", "TEXTAREA"].includes(activeElement.tagName) + || activeElement.isContentEditable + ); + if (editingText) return; + const key = event.key.toLowerCase(); + if (key === "w") panCamera(1, 0); + else if (key === "s") panCamera(-1, 0); + else if (key === "a") panCamera(0, -1); + else if (key === "d") panCamera(0, 1); + else if (key === "e") state.camera.radius = clamp(state.camera.radius * 0.84, MIN_CAMERA_RADIUS, MAX_CAMERA_RADIUS); + else if (key === "q") state.camera.radius = clamp(state.camera.radius * 1.19, MIN_CAMERA_RADIUS, MAX_CAMERA_RADIUS); + else if (event.key === "ArrowLeft") state.camera.yaw -= 0.08; + else if (event.key === "ArrowRight") state.camera.yaw += 0.08; + else if (event.key === "ArrowUp") state.camera.pitch = clamp(state.camera.pitch - 0.06, 0.12, 1.42); + else if (event.key === "ArrowDown") state.camera.pitch = clamp(state.camera.pitch + 0.06, 0.12, 1.42); + else return; + updateCamera(); + updateSceneSummary(); + focusSceneCanvas(); + event.preventDefault(); +} + +function selectNodeAtPointer(event) { + if (!state.nodePoints || state.gesture || state.suppressClick || event.button !== 0) return; + const rect = $("building-scene").getBoundingClientRect(); + const clickX = event.clientX - rect.left; + const clickY = event.clientY - rect.top; + const projected = new THREE.Vector3(); + let closestNode = null; + let closestDistance = 24; + for (const node of state.network.nodes) { + projected.set(node.x, 0.7, -node.y); + state.world.localToWorld(projected); + projected.project(state.activeCamera); + if (projected.z < -1 || projected.z > 1) continue; + const screenX = (projected.x * 0.5 + 0.5) * rect.width; + const screenY = (-projected.y * 0.5 + 0.5) * rect.height; + const distance = Math.hypot(screenX - clickX, screenY - clickY); + if (distance < closestDistance) { + closestDistance = distance; + closestNode = node; + } + } + if (closestNode) setSelectedNode(closestNode.id); } async function initialize() { @@ -452,29 +850,29 @@ async function initialize() { state.network = network; state.buildings = buildings.buildings || []; setDatasetMetadata(status); + createScene(); renderNetwork(); + setSelectedNode(status.default_ignition); setSceneMode(); setRunState("Ready.", "select ignition and run", 35); } catch (error) { setRunState("Dataset unavailable.", error.message, 12); - $("map-message").textContent = "Could not load network or building geometry."; + $("map-message").textContent = "Could not load the 3D network or OSM building geometry."; } } $("scenario-form").addEventListener("submit", runScenario); $("use-center").addEventListener("click", () => { if (state.status) $("ignition").value = state.status.default_ignition; + focusSceneCanvas(); }); $("view-mode").addEventListener("change", setSceneMode); $("height-mode").addEventListener("change", setSceneMode); $("vertical-scale").addEventListener("change", setSceneMode); +$("urban-wind").addEventListener("change", focusSceneCanvas); +$("urban-wind-cell").addEventListener("change", focusSceneCanvas); $("download-result").addEventListener("click", downloadResult); -const sceneCanvas = $("building-scene"); -sceneCanvas.addEventListener("pointerdown", beginSceneGesture); -sceneCanvas.addEventListener("pointermove", moveSceneGesture); -sceneCanvas.addEventListener("pointerup", endSceneGesture); -sceneCanvas.addEventListener("pointercancel", endSceneGesture); -sceneCanvas.addEventListener("wheel", zoomScene, {passive: false}); -sceneCanvas.addEventListener("contextmenu", (event) => event.preventDefault()); $("reset-view").addEventListener("click", resetSceneView); +$("run-flow").addEventListener("click", runFlowField); +$("flow-radius").addEventListener("change", focusSceneCanvas); initialize(); diff --git a/web/index.html b/web/index.html index afce82f..3198282 100644 --- a/web/index.html +++ b/web/index.html @@ -3,7 +3,7 @@ - Urban Fire Spread / Polatlı + Urban Fire Spread / Manhattan Island 3D @@ -11,7 +11,7 @@

URBAN FIRE SPREAD

-

Polatlı street network

+

Manhattan Island 3D street network

Loading dataset
@@ -50,13 +50,28 @@

Run a propagation

+
+ + +
Dataset is loading.
-

The model uses the downloaded OSM road graph and explicit heuristic modifiers. It is for scenario exploration, not life-safety decisions.

+

The experimental wind layer rasterizes OSM building massing to steer and slow the prescribed wind. It is for scenario exploration, not life-safety decisions.

@@ -68,22 +83,24 @@

Advancing front

network activated link + burning building + urban flow line ignition
- Loading building layer… + + + Select a node to run flow + Loading 3D scene…
- - +
No node selected
+ +
Loading network geometry…
-

2.5D scene from projected OSM geometry. Wheel to zoom, drag to pan, Shift-drag or right-drag to rotate, and use Reset view to return to the fitted scene.

+
+

3D OSM scene. Select a node, set wind speed/direction, then run flow to draw the local urban vector field. Wheel or E/Q to zoom, drag to orbit, Shift-drag/right-drag or WASD to pan, and use arrow keys to rotate.

@@ -116,6 +149,7 @@

Scenario result

Reached nodes—
Activated links—
+
Burning buildings—
Horizon—
@@ -141,10 +175,14 @@

Source record

Source
—
License
—
Coverage
—
+
Terrain
—
+
Wind model
—

Street geometry © OpenStreetMap contributors. Data is retrieved through Overpass and preserved locally with provenance.

+ + diff --git a/web/styles.css b/web/styles.css index 2b064e9..aed948b 100644 --- a/web/styles.css +++ b/web/styles.css @@ -117,6 +117,7 @@ h2 { margin-bottom: 0; font-size: 1.1rem; letter-spacing: -0.01em; } } .compact-control select:focus { outline: 2px solid var(--fire-soft); border-color: var(--fire); } .scene-summary { margin-left: auto; color: var(--muted); font-size: 0.7rem; } +.flow-status { color: var(--muted); font-size: 0.7rem; } .compact-button { min-height: 31px; padding: 5px 9px; } label { @@ -142,6 +143,9 @@ input:focus { outline: 2px solid var(--fire-soft); border-color: var(--fire); } .field-grid { display: grid; grid-template-columns: 1fr 1fr; gap: 0 10px; } .field-grid label { margin-bottom: 12px; } +.model-options { display: flex; align-items: center; justify-content: space-between; gap: 0.9rem; margin-top: 0.1rem; padding: 0.65rem 0.75rem; border: 1px solid var(--line); background: rgba(255,255,255,0.03); } +.check-control { display: flex; align-items: center; gap: 0.5rem; margin: 0; color: var(--ink); font-size: 0.74rem; } +.check-control input { width: auto; min-height: 0; accent-color: var(--fire); } .button { min-height: 38px; @@ -174,7 +178,7 @@ input:focus { outline: 2px solid var(--fire-soft); border-color: var(--fire); } background: #fafaf8; border: 1px solid var(--line); } -#building-scene, #network-map { +#building-scene { position: absolute; inset: 0; display: block; @@ -185,12 +189,60 @@ input:focus { outline: 2px solid var(--fire-soft); border-color: var(--fire); } #building-scene { cursor: grab; touch-action: none; } #building-scene.dragging { cursor: grabbing; } #building-scene { z-index: 0; } -#network-map { z-index: 1; pointer-events: none; } -#network-map .map-node { pointer-events: auto; } -.network-link { fill: none; stroke: var(--network); stroke-width: 0.8; stroke-linecap: round; } -.network-link.active { stroke-width: 2.4; } -.map-node { fill: #fff; stroke: #9d9e98; stroke-width: 0.65; cursor: crosshair; } -.map-node:hover, .map-node.selected { fill: var(--fire); stroke: var(--fire-dark); stroke-width: 1.5; } +#building-scene:focus { outline: 2px solid var(--fire); outline-offset: -2px; } +.node-selection { + position: absolute; + top: 14px; + right: 14px; + max-width: min(420px, calc(100% - 28px)); + padding: 7px 9px; + color: #f4f4ef; + background: rgba(20, 27, 27, 0.9); + border: 1px solid rgba(214, 213, 207, 0.55); + font-size: 0.72rem; + line-height: 1.35; + pointer-events: none; +} +.selected-node-pin { + position: absolute; + z-index: 4; + display: flex; + flex-direction: column; + align-items: center; + pointer-events: none; + transform: translate(-50%, -100%); + filter: drop-shadow(0 2px 4px rgba(0, 0, 0, 0.55)); +} +.selected-node-label { + max-width: 190px; + overflow: hidden; + padding: 3px 7px; + color: #fff; + background: #9f2019; + border: 2px solid #ffd166; + border-radius: 999px; + font-size: 0.68rem; + font-weight: 900; + line-height: 1.2; + text-overflow: ellipsis; + white-space: nowrap; +} +.selected-node-head { + width: 18px; + height: 18px; + margin-top: 3px; + background: #ff3b30; + border: 3px solid #fff3b0; + border-radius: 50%; + box-shadow: 0 0 0 4px rgba(255, 59, 48, 0.42), 0 0 18px rgba(255, 59, 48, 0.95); +} +.selected-node-stem { + width: 4px; + height: 48px; + background: linear-gradient(#ff3b30, #ffd166); + border-radius: 999px; +} +.selected-node-pin.is-hidden { display: none; } .map-message { position: absolute; left: 16px; @@ -206,6 +258,8 @@ input:focus { outline: 2px solid var(--fire-soft); border-color: var(--fire); } .legend span { display: inline-flex; align-items: center; gap: 5px; } .swatch { display: inline-block; width: 13px; height: 3px; background: var(--network); } .fire-swatch { background: var(--fire); } +.building-fire-swatch { background: #ff2b2b; height: 10px; } +.flow-swatch { background: #167a8a; height: 4px; } .ignition-swatch { width: 8px; height: 8px; border: 2px solid var(--fire-dark); border-radius: 50%; background: var(--fire); } .summary-grid { display: grid; grid-template-columns: 1fr; gap: 8px; margin-bottom: 18px; } @@ -241,7 +295,7 @@ dd { margin: 0; overflow-wrap: anywhere; font-size: 0.75rem; } .control-panel { order: 1; } .results-panel { order: 3; } .data-panel { order: 4; } - .map-frame, #network-map, #building-scene { min-height: 430px; } + .map-frame, #building-scene { min-height: 430px; } .inline-heading { display: block; } .legend { justify-content: flex-start; margin-top: 10px; } }