commit 79daa30a8a9c47d46d8def777af7ee489f3ee7ea Author: Nicolas Fryder Date: Fri Jul 10 13:55:25 2026 +0200 Implementation initiale : calcul de volume 2.5D CloudCompare et test de robustesse par decimation spatiale progressive - Backend NestJS orchestrant CloudCompare CLI (stats, decimation x2 sur 5 etapes, volume, assemblage .bin) - Scripts Python (laspy, scipy, matplotlib) pour la conversion LAS/LAZ et la generation d'images - Frontend web simple (Tailwind CDN) avec historique des runs - Image Docker (debian:trixie-slim + cloudcompare apt + xvfb) prete pour deploiement Coolify - Lint/typecheck/tests unitaires integres comme portes de qualite au build Docker - CLAUDE.md documentant les comportements CloudCompare CLI verifies empiriquement diff --git a/.dockerignore b/.dockerignore new file mode 100644 index 0000000..1fbb5a0 --- /dev/null +++ b/.dockerignore @@ -0,0 +1,10 @@ +node_modules +dist +data +*.log +.git +.gitignore +.claude +coverage +README.md +CLAUDE.md diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..f7e2def --- /dev/null +++ b/.gitattributes @@ -0,0 +1,2 @@ +* text=auto eol=lf +*.sh text eol=lf diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..155d451 --- /dev/null +++ b/.gitignore @@ -0,0 +1,7 @@ +node_modules/ +dist/ +data/ +*.log +.DS_Store +coverage/ +.claude/ diff --git a/CLAUDE.md b/CLAUDE.md new file mode 100644 index 0000000..f0caabe --- /dev/null +++ b/CLAUDE.md @@ -0,0 +1,170 @@ +# CLAUDE.md + +Notes pour toute future session travaillant sur ce repo. Ce fichier documente des faits +verifies empiriquement sur CloudCompare 2.13.2 (Windows officiel ET paquet apt Debian trixie) — +pas de la documentation officielle recopiee, mais des comportements observes directement, souvent +non documentes ou contredisant la doc/le wiki. + +## Contexte du projet + +Pipeline : nuage de points (LAS/LAZ/COPC.laz/BIN) -> calcul de volume 2.5D CloudCompare -> decimation +spatiale progressive x2 sur 5 etapes (chainee, chaque niveau decime depuis le precedent, pas depuis +l'original) -> volume recalcule a chaque niveau -> assemblage des 6 nuages dans un seul `.bin` -> +rapport CSV/JSON + images. UI web (NestJS + Tailwind CDN) avec historique des runs (SQLite). +E57 volontairement hors perimetre. + +## CloudCompare CLI — comportements verifies + +### `-VOLUME` (calcul de volume 2.5D) + +- Sur un nuage **unique**, utiliser `-CONST_HEIGHT ` comme plan de reference (le nuage charge + est le "ceiling", le plan constant est le "ground"). Sans `-CONST_HEIGHT`, la commande attend DEUX + nuages charges. +- Syntaxe complete : `-VOLUME -GRID_STEP [-VERT_DIR 0/1/2] [-CONST_HEIGHT ] [-GROUND_IS_FIRST] [-OUTPUT_MESH]`. +- **Piege majeur non documente** : le rapport texte `VolumeCalculationReport_.txt` n'est genere + QUE si `-AUTO_SAVE ON` (le defaut). Avec `-AUTO_SAVE OFF` (qu'on utilise partout ailleurs pour + eviter de polluer le dossier de travail avec des fichiers intermediaires), la commande `-VOLUME` + s'execute (log "[2.5D VOLUME CALCULATION] finished") mais **aucun rapport n'est ecrit, aucune + erreur n'est loggee**. Il faut explicitement repasser `-AUTO_SAVE ON` juste pour l'appel `-VOLUME`. + Voir `CcRunnerService.run(args, cwd, { autoSave: true })`. +- Avec `-AUTO_SAVE ON`, `-VOLUME` sauvegarde AUSSI automatiquement une grille de difference de hauteur + nommee `_HEIGHT_DIFFERENCE_.bin` qu'on ne veut pas garder — on la detecte (meme technique + que pour le rapport, cf ci-dessous) et on la supprime juste apres (voir pipeline.service.ts). +- **CloudCompare ecrit ses fichiers de sortie automatiques (rapport, grilles) relativement au dossier + du fichier charge via `-O`, pas au `cwd` du process.** Si on charge `-O levels/L0_full.bin`, le + rapport atterrit dans `levels/VolumeCalculationReport_*.txt`, pas a la racine du `cwd`. D'ou la + necessite d'une recherche **recursive** (`CcRunnerService.findLatestFile`) plutot qu'un simple + `readdir` du dossier de travail. +- Format du rapport texte (verifie, stable) — cle:valeur, une ligne par info, parsable par regex : + ``` + Volume: 7.834176 + Surface: 100.774998 + ---------------------- + Added volume: (+)7.975798 + Removed volume: (-)0.141622 + ---------------------- + Matching cells: 99.8% + Non-matching cells: + ground = 0.2% + ceil = 0.0% + Average neighbors per cell: 8.0 / 8.0 + ``` +- **`Matching cells: X%`** est le meilleur signal natif de robustesse : c'est le % de cellules de la + grille de calcul ou les deux surfaces sont effectivement comparables. Il s'effondre des que la + decimation produit un nuage plus clairseme que la resolution de grille utilisee pour le calcul de + volume — exactement l'indicateur cherche pour ce projet (voir `matchingCellsWarnThreshold` dans + `config.ts`, defaut 90%). +- Le `-GRID_STEP` du calcul de volume doit rester **fixe** (le meme pour les 6 niveaux) pour que les + volumes restent comparables entre eux — sinon on mele l'effet de la decimation avec l'effet d'un + changement de resolution de calcul. On le derive une seule fois du pas spatial initial (voir plus + bas) et on le reutilise identique partout. + +### `-SS SPATIAL` / `-SS RANDOM` (sous-echantillonnage) + +- `-SS SPATIAL ` : distance minimale entre points, PAS un ratio de points cible. Le nombre + de points obtenu depend de la densite reelle du nuage — jamais garanti a un pourcentage exact. +- `-SS RANDOM ` : sous-echantillonne a `n` points. Si `n` >= nombre de points du nuage, ne plante + pas (comportement observe : garde le nuage tel quel). +- Log de sortie a parser : `[SUBSAMPLE]` puis `Result: points` (regex utilisee : + `/\[SUBSAMPLE\][\s\S]*?Result:\s*(\d+)\s*points/`). +- `-AUTO_SAVE OFF` fonctionne correctement ici (contrairement a `-VOLUME`) : pas de fichier auto-sauve + parasite, seul `-SAVE_CLOUDS FILE "nom.bin"` explicite produit un fichier, avec le nom voulu. + +### `-SAVE_CLOUDS` + +- `-SAVE_CLOUDS FILE "nom.ext"` : nom de sortie explicite (fonctionne, contrairement a ce que + certains threads du forum CloudCompare laissent penser). +- `-SAVE_CLOUDS ALL_AT_ONCE FILE "nom.bin"` avec **plusieurs nuages charges** (plusieurs `-O`) sans + `-MERGE_CLOUDS` : sauvegarde tous les nuages comme entites **distinctes** dans un seul `.bin` (le + format `.bin` de CloudCompare supporte nativement une hierarchie de plusieurs nuages). Verifie en + rouvrant le fichier : chaque nuage retrouve son point count exact, sans fusion de geometrie. C'est + la technique utilisee pour assembler les 6 niveaux de decimation dans un seul fichier de sortie. + **`-MERGE_CLOUDS` fusionnerait la geometrie en un seul nuage — a ne PAS utiliser ici.** +- Pas de commande `-RENAME_CLOUDS` (n'existe pas, testee = "Unknown or misplaced command"). Le nom de + chaque nuage dans le `.bin` fusionne est derive du nom de fichier source charge — on nomme donc les + fichiers intermediaires de facon descriptive (`L0_full.bin`, `L1_step0.05.bin`, ...) plutot que de + chercher a renommer les entites apres coup. + +### Autres commandes + +- `-RASTERIZE -GRID_STEP -OUTPUT_RASTER_Z` : export GeoTIFF. **Fonctionne sur le build Windows + officiel, mais PLANTE (assertion `false` dans `ccRasterizeTool.cpp:ExportGeoTiff`, core dump) sur le + paquet apt Debian trixie**, faute de support GDAL compile dans ce paquet. Ne pas utiliser cette + voie dans l'image Docker — voir section "Paquet apt Debian" ci-dessous pour la solution retenue. +- Les commandes s'appliquent comme une **machine a etats sequentielle sur UN SEUL process** : on ne + peut pas "reprendre" une session precedente. Chaque etape logique du pipeline (stats, conversion, + decimation, volume, export) = un appel CLI independant, avec son propre `-O` de rechargement. +- `-SILENT` doit etre le tout premier argument (ou juste apres `-VERBOSITY`). +- `-PREC ` controle la precision decimale des exports ASCII (`-C_EXPORT_FMT ASC`). + +## Paquet apt Debian `cloudcompare` (trixie, 2.13.2) — limitations et contournements + +Choix d'archi : `debian:trixie-slim` + `apt-get install cloudcompare` plutot qu'une compilation depuis +les sources (des heures de build, fragile). Debian trixie est la seule distro testee avec une version +recente (2.13.2) directement en apt `main` (Ubuntu jammy/noble n'ont que 2.11.3 en `universe`). +Mais ce paquet est **allege par rapport au build officiel Windows** : + +1. **Pas de plugin LAS/LAZ** (`dpkg -L cloudcompare` ne montre que + `libQCORE_IO_PLUGIN.so`, aucun `QLAS_IO_PLUGIN`). Ouvrir un `.las`/`.laz` donne : + `[Load] Can't guess file format: unhandled file extension 'las'`. + **Solution retenue** : conversion LAS/LAZ/COPC -> ASCII XYZ via `laspy` (Python, `python/las_to_xyz.py`) + *avant* tout traitement CloudCompare. L'import ASCII XYZ, lui, fonctionne nativement sans aucun + plugin (verifie : `CloudCompare -O fichier.xyz` marche directement sur ce paquet). Un `.copc.laz` + est lu par laspy comme un LAZ standard (l'indexation octree COPC est ignoree, seuls les points + comptent ici). +2. **Export GeoTIFF cassé** (voir `-RASTERIZE` ci-dessus). **Solution retenue** : les cartes de hauteur + sont generees nous-memes (`python/render_images.py heightmap`) via export ASCII du nuage + + binning `scipy.stats.binned_statistic_2d` + rendu `matplotlib`, sans passer par le rasterizer + CloudCompare. +3. **CloudCompare reste une appli Qt, meme en `-SILENT`** : plante avec `QXcbConnection: Could not + connect to display` sans serveur X. Necessite `xvfb`. On demarre UN Xvfb persistant dans + `docker/entrypoint.sh` (pas un `xvfb-run` par appel CLI, plus rapide et evite les conflits de + lockfile entre appels concurrents). +4. Si un futur besoin necessite E57 : le meme probleme de plugin manquant se posera probablement + (a verifier — `QE57_IO_PLUGIN` n'apparaissait pas non plus dans `dpkg -L cloudcompare`). + +**Si CloudCompare est mis a jour dans une future version du paquet Debian et regagne GDAL/LAS**, ces +contournements resteront fonctionnels sans rien casser (ils n'utilisent jamais les fonctionnalites +manquantes), mais pourraient etre simplifies. + +## Pieges d'implementation generaux (au-dela de CloudCompare) + +- **Chemins `/c/...` (style MSYS/git-bash) vs chemins Windows natifs** : un `python.exe` natif Windows + ne comprend PAS `/c/Users/...` — seulement `C:/Users/...` ou `C:\Users\...`. `curl`/`cat`/`ls` + (MSYS) acceptent les deux, mais un process Windows natif lance depuis bash avec un chemin `/c/...` + en argument echouera silencieusement (`FileNotFoundError`) si ce chemin est passe tel quel a une + fonction Python (`open(...)`) plutot que d'etre resolu par le shell. Toujours utiliser des chemins + style `C:/...` quand on passe un chemin en argument a un outil natif Windows depuis bash. +- **TypeScript + closures + `let` mutable** : `tsc` peut perdre le narrowing d'une variable `let` + mutee dans une closure asynchrone appelee avant un `return` conditionnel (erreur `Property 'x' does + not exist on type 'never'`). Contournement : accumuler dans un tableau (`push`) plutot que de muter + une variable `best` capturee, puis trier/reduire a la fin. +- **Nest CLI + fichiers de test** : `nest build` doit utiliser `tsconfig.build.json` (qui exclut + `**/*.spec.ts`) pour ne pas emettre les tests dans `dist/`. Le `tsconfig.json` de base (sans + exclude) reste utilise par `tsc --noEmit` (script `typecheck`) et par `ts-jest`, pour que les tests + soient bien type-checkes. +- **`better-sqlite3`** necessite des outils de build natifs (python3/make/g++) — presents par defaut + dans l'image `node:20-bookworm` utilisee pour le stage de build, absents volontairement du stage + final (juste `node_modules` deja compile est copie). + +## Deploiement (Coolify) + +- Image construite en deux etapes : build (Node, avec lint+typecheck+test+compilation) puis runtime + (Debian + CloudCompare + xvfb + Python). Le build Docker **echoue** si lint, typecheck ou tests + echouent (`RUN npm run lint|typecheck|test` avant `RUN npm run build` dans le Dockerfile) — sert de + garde-fou avant tout deploiement automatique via webhook. +- `docker-compose.yml` utilise un **volume nomme** (`app-data:/data`), pas un bind mount vers `./data` : + Coolify re-clone le repo a chaque deploiement, un bind mount relatif au checkout perdrait les + donnees (uploads, resultats, base sqlite) a chaque redeploy. +- `HEALTHCHECK` dans le Dockerfile (`curl` sur `/`) : Coolify l'utilise pour determiner si le + deploiement a reussi. +- Le port d'ecoute est configurable via `PORT` (`config.ts` lit `process.env.PORT`, defaut 3000). + +## Constantes du pipeline (voir `src/config.ts`) + +- `decimationFactor = 2`, `decimationSteps = 5` (fixes par la spec, pas exposes en config utilisateur). +- `gridStepMultiplier = 2` : le grid step de `-VOLUME` = pas spatial initial x2. +- `statsSampleCap = 50000` : nb de points echantillonnes pour estimer la distance mediane au plus + proche voisin (KD-tree scipy) qui sert de pas spatial initial. +- `minPointsToContinue = 25` : la decimation s'arrete si un niveau tombe en dessous. +- `matchingCellsWarnThreshold = 90` : seuil d'affichage "a verifier" dans l'UI. diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 0000000..a5a04e8 --- /dev/null +++ b/Dockerfile @@ -0,0 +1,61 @@ +# syntax=docker/dockerfile:1 + +# ---------- Etape 1 : build du backend NestJS ---------- +FROM node:20-bookworm AS backend-build +WORKDIR /app +COPY package.json package-lock.json* ./ +RUN npm install +COPY tsconfig.json tsconfig.build.json nest-cli.json eslint.config.mjs ./ +COPY src ./src +# Portes de qualite : le build Docker (donc le deploiement Coolify) echoue si l'une de ces +# etapes echoue. Voir CLAUDE.md pour le detail des scripts. +RUN npm run lint +RUN npm run typecheck +RUN npm run test +RUN npm run build +RUN npm prune --omit=dev + +# ---------- Etape 2 : image finale ---------- +# Debian trixie fournit CloudCompare 2.13.2 directement en apt (paquet "cloudcompare"), +# ce qui evite une compilation depuis les sources (tres longue et fragile). +FROM debian:trixie-slim + +ENV DEBIAN_FRONTEND=noninteractive \ + NODE_ENV=production \ + DATA_DIR=/data \ + CLOUDCOMPARE_BIN=CloudCompare \ + PYTHON_BIN=python3 \ + DISPLAY=:99 + +RUN apt-get update && apt-get install -y --no-install-recommends \ + cloudcompare \ + xvfb \ + x11-utils \ + ca-certificates \ + curl \ + gnupg \ + python3 \ + python3-pip \ + && curl -fsSL https://deb.nodesource.com/setup_20.x | bash - \ + && apt-get install -y --no-install-recommends nodejs \ + && rm -rf /var/lib/apt/lists/* + +COPY python/requirements.txt /app/python/requirements.txt +RUN pip3 install --break-system-packages --no-cache-dir -r /app/python/requirements.txt + +WORKDIR /app +COPY --from=backend-build /app/node_modules ./node_modules +COPY --from=backend-build /app/dist ./dist +COPY package.json ./ +COPY python ./python +COPY public ./public +COPY docker/entrypoint.sh /entrypoint.sh +RUN chmod +x /entrypoint.sh && mkdir -p /data + +VOLUME ["/data"] +EXPOSE 3000 + +HEALTHCHECK --interval=30s --timeout=5s --start-period=30s --retries=3 \ + CMD curl -fsS "http://localhost:${PORT:-3000}/" || exit 1 + +ENTRYPOINT ["/entrypoint.sh"] diff --git a/README.md b/README.md new file mode 100644 index 0000000..8c98aa4 --- /dev/null +++ b/README.md @@ -0,0 +1,132 @@ +# Volume 2.5D & robustesse a la decimation + +Application locale (Docker) qui, a partir d'un nuage de points (LAS/LAZ/COPC.laz/BIN) : + +1. calcule son volume en 2.5D via CloudCompare (plan de reference = altitude minimale du nuage) ; +2. le decime progressivement en methode **spatiale**, facteur **x2** sur **5 etapes** (le pas spatial double + a chaque etape, en partant d'un pas initial estime automatiquement = distance mediane au plus proche + voisin, calculee par KD-tree sur un echantillon) ; +3. recalcule le volume a chaque niveau avec la **meme** grille et le **meme** plan de reference, pour rendre + les 6 mesures comparables ; +4. assemble les 6 nuages (complet + 5 decimations) dans un seul fichier `.bin` CloudCompare, nomme et + consultable dans CloudCompare Desktop ; +5. produit un dossier de resultats : rapport CSV/JSON, cartes de hauteur par niveau, graphiques de + synthese (volume, nombre de points, robustesse) ; +6. expose tout ca dans une UI web simple avec historique des runs. + +## Demarrage + +```bash +docker compose up -d --build +``` + +Puis ouvrir http://localhost:8080 + +Les donnees (uploads, resultats, base sqlite) sont persistees dans un volume Docker nomme `app-data` +(pas un bind mount vers `./data`, voir "Deploiement Coolify" ci-dessous pour la raison). + +## Deploiement Coolify + +Le repo est pret pour un deploiement Coolify via webhook (push sur `main` -> build + deploy auto) : + +- Le `Dockerfile` fait tourner **lint + typecheck + tests unitaires** avant de compiler — un commit qui + casse l'un de ces trois echoue le build, donc n'est jamais deploye. +- `HEALTHCHECK` integre au Dockerfile (`curl` sur `/`) : Coolify l'utilise pour verifier que le + deploiement est reellement sain. +- Persistance : le volume `/data` doit etre monte comme un **volume nomme/gere par Coolify**, pas un + bind mount vers le checkout git (Coolify re-clone le repo a chaque deploiement — un bind mount + relatif au checkout perdrait toutes les donnees a chaque redeploy). Deux options : + - Resource **"Docker Compose"** dans Coolify pointant sur `docker-compose.yml` du repo : le volume + nomme `app-data` declare dedans est deja correct. + - Resource **"Application"** (Dockerfile) : configurer un volume persistant sur `/data` depuis + l'onglet "Storage" de Coolify, et le port expose sur `3000` (variable `PORT`, lue par l'appli). +- Variables d'environnement optionnelles a definir dans Coolify si besoin de les changer par rapport + aux defauts (voir tableau plus bas) : `MAX_UPLOAD_MB`, `STATS_SAMPLE_CAP`, `CC_TIMEOUT_MS`. +- Le webhook de deploiement automatique est deja configure cote Coolify sur ce repo. + +## Utilisation + +1. "Nouveau run" -> choisir un fichier `.las`, `.laz`, `.copc.laz` ou `.bin`. +2. Optionnel : override du plan de reference Z (par defaut : altitude minimale d'un echantillon du + nuage) et/ou du pas spatial initial (par defaut : distance mediane au plus proche voisin). +3. Le run tourne en arriere-plan (une file d'attente sequentielle traite les runs un par un). La page + de detail se rafraichit automatiquement (polling 2s). +4. Une fois termine : tableau des 6 niveaux (points, volume, surface, % de cellules de grille + "matching"), cartes de hauteur, graphiques de synthese, et telechargements (`.bin` fusionne, + `.csv`, dossier complet en `.zip`). + +### Lecture des resultats + +- **% de cellules "matching"** (rapport de volume 2.5D de CloudCompare) : indique la part de la grille + de calcul ou les deux surfaces (nuage / plan de reference) sont effectivement comparables. Quand la + decimation depasse la resolution de la grille de calcul, ce pourcentage chute — c'est le signal + principal de perte de robustesse. Un niveau est marque "a verifier" des que ce taux passe sous 90 % + (configurable via `MATCHING_CELLS_WARN_THRESHOLD` cote code, `config.ts`). +- La decimation s'arrete automatiquement si un niveau tombe sous 25 points exploitables ; les niveaux + suivants sont marques "skipped" avec la raison. + +## Parametres (variables d'environnement, voir `docker-compose.yml`) + +| Variable | Defaut | Description | +|---|---|---| +| `PORT` | 3000 | port interne du serveur | +| `DATA_DIR` | `/data` | dossier de persistance (uploads, resultats, sqlite) | +| `MAX_UPLOAD_MB` | 2048 | taille max d'un nuage uploade | +| `STATS_SAMPLE_CAP` | 50000 | nb de points echantillonnes pour estimer le pas spatial initial | +| `CC_TIMEOUT_MS` | 600000 | timeout par appel CloudCompare CLI | + +## Formats supportes + +`.las`, `.laz`, `.copc.laz` (lu comme un LAZ standard — l'indexation octree COPC n'est pas utilisee, +seuls les points le sont), `.bin` (format natif CloudCompare). + +**E57 non supporte pour l'instant** (exclu volontairement du perimetre initial). + +## Architecture + +- **Backend** : NestJS (TypeScript), file d'attente de jobs en memoire (un run a la fois), SQLite + (`better-sqlite3`) pour l'historique des runs. +- **Orchestration du pipeline CloudCompare** : chaque etape (estimation stats, conversion, decimation, + volume, export) est un appel independant au CLI `CloudCompare -SILENT ...` (le CLI fonctionne comme + une machine a etats sur UNE session de process, donc chaque etape = un process). +- **Scripts Python** (`python/`) : `stats_helper.py` (distance au plus proche voisin via scipy KD-tree), + `render_images.py` (cartes de hauteur + graphiques de synthese via matplotlib/numpy), + `las_to_xyz.py` (conversion LAS/LAZ/COPC -> ASCII, voir "Limitation connue" ci-dessous). +- **Frontend** : HTML/JS vanilla + Tailwind (CDN), servi en statique par NestJS. Pas de framework, pas + de build front separe. +- **Image Docker** : `debian:trixie-slim` + paquet apt `cloudcompare` (2.13.2, evite une compilation + depuis les sources) + `xvfb` (CloudCompare reste une appli Qt, meme en `-SILENT` elle a besoin d'un + display) + Node 20 + Python 3. + +## Limitations connues + +- **Le paquet apt `cloudcompare` (Debian) ne fournit pas le plugin LAS/LAZ** (uniquement le plugin + "Core I/O"). Consequence : les fichiers LAS/LAZ/COPC sont convertis en ASCII XYZ via `laspy` (Python) + *avant* d'etre transmis a CloudCompare, qui lit l'ASCII nativement sans plugin. Ca fonctionne bien + mais perd les attributs LAS annexes (intensite, classification, RGB...) — non utilises par ce calcul + de volume de toute facon. +- **Le meme paquet plante (assertion GDAL) sur l'export GeoTIFF natif** (`-RASTERIZE + -OUTPUT_RASTER_Z`). Les cartes de hauteur sont donc reconstruites nous-memes (export ASCII du nuage + + binning numpy/scipy + rendu matplotlib) plutot que de dependre du rasterizer CloudCompare. +- Le plan de reference Z et le pas de grille de volume sont **approximatifs** quand ils sont + auto-detectes (calcules sur un echantillon aleatoire de points, pas la totalite du nuage) — largement + suffisant pour comparer les 6 niveaux entre eux, mais a corriger via l'override si une valeur exacte + est necessaire. +- Un seul run traite a la fois (file d'attente sequentielle) : adapte a un usage local mono-utilisateur, + pas concu pour un usage concurrent multi-utilisateurs. + +## Developpement local (sans Docker) + +Necessite CloudCompare installe localement + Python 3 avec `pip install -r python/requirements.txt`. + +```bash +npm install +npm run lint # eslint +npm run typecheck # tsc --noEmit +npm run test # jest (tests unitaires) +npm run build +CLOUDCOMPARE_BIN="/chemin/vers/CloudCompare" PYTHON_BIN=python3 DATA_DIR=./data node dist/main.js +``` + +Voir [CLAUDE.md](CLAUDE.md) pour le detail des comportements CloudCompare CLI verifies empiriquement +(pieges non documentes, limitations du paquet apt Debian, etc.) — a lire avant de toucher au pipeline. diff --git a/docker-compose.yml b/docker-compose.yml new file mode 100644 index 0000000..be29c54 --- /dev/null +++ b/docker-compose.yml @@ -0,0 +1,19 @@ +services: + volume-app: + build: . + ports: + - "8080:3000" + volumes: + # Volume nomme (pas un bind mount vers ./data) : Coolify re-clone le repo a chaque + # deploiement, un bind mount relatif au checkout perdrait les donnees a chaque redeploy. + - app-data:/data + environment: + - PORT=3000 + - DATA_DIR=/data + - MAX_UPLOAD_MB=2048 + - STATS_SAMPLE_CAP=50000 + - CC_TIMEOUT_MS=600000 + restart: unless-stopped + +volumes: + app-data: diff --git a/docker/entrypoint.sh b/docker/entrypoint.sh new file mode 100644 index 0000000..a556d46 --- /dev/null +++ b/docker/entrypoint.sh @@ -0,0 +1,23 @@ +#!/bin/sh +set -e + +# CloudCompare reste une application Qt : meme en -SILENT elle a besoin d'un display. +# On demarre un Xvfb persistant pour tout le cycle de vie du conteneur plutot que +# d'en relancer un par appel CLI (plus rapide, evite les conflits de lockfile). +Xvfb "${DISPLAY:-:99}" -screen 0 1280x1024x24 -nolisten tcp & +XVFB_PID=$! + +cleanup() { + kill "$XVFB_PID" 2>/dev/null || true +} +trap cleanup EXIT INT TERM + +# Attente que le display soit pret +for i in $(seq 1 20); do + if xdpyinfo -display "${DISPLAY:-:99}" >/dev/null 2>&1; then + break + fi + sleep 0.25 +done + +exec node dist/main.js diff --git a/eslint.config.mjs b/eslint.config.mjs new file mode 100644 index 0000000..0fc7735 --- /dev/null +++ b/eslint.config.mjs @@ -0,0 +1,15 @@ +// @ts-check +import eslint from '@eslint/js'; +import tseslint from 'typescript-eslint'; + +export default tseslint.config( + { ignores: ['dist/**', 'node_modules/**', 'public/**'] }, + eslint.configs.recommended, + ...tseslint.configs.recommended, + { + rules: { + '@typescript-eslint/no-explicit-any': 'off', + '@typescript-eslint/no-unused-vars': ['warn', { argsIgnorePattern: '^_', varsIgnorePattern: '^_' }], + }, + }, +); diff --git a/nest-cli.json b/nest-cli.json new file mode 100644 index 0000000..5f57642 --- /dev/null +++ b/nest-cli.json @@ -0,0 +1,9 @@ +{ + "$schema": "https://json.schemastore.org/nest-cli", + "collection": "@nestjs/schematics", + "sourceRoot": "src", + "compilerOptions": { + "deleteOutDir": true, + "assets": [] + } +} diff --git a/package-lock.json b/package-lock.json new file mode 100644 index 0000000..4647492 --- /dev/null +++ b/package-lock.json @@ -0,0 +1,9826 @@ +{ + "name": "volume-decimation-app", + "version": "1.0.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "volume-decimation-app", + "version": "1.0.0", + "dependencies": { + "@nestjs/common": "^10.4.15", + "@nestjs/core": "^10.4.15", + "@nestjs/platform-express": "^10.4.15", + 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"@nestjs/serve-static": "^4.0.2", + "archiver": "^7.0.1", + "better-sqlite3": "^11.8.1", + "multer": "^1.4.5-lts.1", + "reflect-metadata": "^0.2.2", + "rxjs": "^7.8.1", + "uuid": "^11.0.5" + }, + "devDependencies": { + "@eslint/js": "^9.18.0", + "@nestjs/cli": "^10.4.9", + "@types/archiver": "^6.0.3", + "@types/better-sqlite3": "^7.6.13", + "@types/express": "^5.0.0", + "@types/jest": "^29.5.14", + "@types/multer": "^1.4.12", + "@types/node": "^22.10.7", + "@types/uuid": "^10.0.0", + "eslint": "^9.18.0", + "jest": "^29.7.0", + "ts-jest": "^29.2.5", + "typescript": "^5.7.3", + "typescript-eslint": "^8.20.0" + }, + "jest": { + "moduleFileExtensions": ["js", "json", "ts"], + "rootDir": "src", + "testRegex": ".*\\.spec\\.ts$", + "transform": { + "^.+\\.(t|j)s$": "ts-jest" + }, + "testEnvironment": "node" + } +} diff --git a/public/app.js b/public/app.js new file mode 100644 index 0000000..fc3f27b --- /dev/null +++ b/public/app.js @@ -0,0 +1,238 @@ +const API = '/api/runs'; +const app = document.getElementById('app'); +let pollTimer = null; + +function stopPolling() { + if (pollTimer) { clearInterval(pollTimer); pollTimer = null; } +} + +async function api(path, opts) { + const res = await fetch(path, opts); + if (!res.ok) { + let msg = res.statusText; + try { const j = await res.json(); msg = j.message || j.error || msg; } catch {} + throw new Error(msg); + } + return res.json(); +} + +function fmt(n, digits = 4) { + if (n === null || n === undefined) return '-'; + if (typeof n !== 'number') return String(n); + return n.toLocaleString('fr-FR', { maximumFractionDigits: digits }); +} + +function statusBadge(status) { + const map = { + pending: 'bg-slate-700 text-slate-200', + running: 'bg-blue-600/30 text-blue-300', + done: 'bg-emerald-600/30 text-emerald-300', + error: 'bg-red-600/30 text-red-300', + }; + return `${status}`; +} + +function router() { + const hash = location.hash || '#/'; + stopPolling(); + if (hash === '#/' || hash === '') return renderList(); + if (hash === '#/new') return renderNew(); + const m = hash.match(/^#\/runs\/([^/]+)$/); + if (m) return renderDetail(m[1]); + app.innerHTML = '

Page introuvable.

'; +} +window.addEventListener('hashchange', router); +window.addEventListener('DOMContentLoaded', router); + +// ---------------- Liste des runs ---------------- +async function renderList() { + app.innerHTML = '

Chargement...

'; + const runs = await api(API); + if (runs.length === 0) { + app.innerHTML = ` +
+

Aucun run pour le moment.

+ Lancer un nouveau run +
`; + return; + } + const rows = runs.map((r) => ` + + ${r.id.slice(0, 8)} + ${escapeHtml(r.originalFilename)} + ${statusBadge(r.status)} + ${new Date(r.createdAt).toLocaleString('fr-FR')} + ${r.summary ? `${r.summary.levelsOk}/${r.summary.levelsTotal} niveaux` : '-'} + ${r.summary && r.summary.volumeDeltaPct !== null ? fmt(r.summary.volumeDeltaPct, 2) + ' %' : '-'} + `).join(''); + + app.innerHTML = ` +
+

Runs

+ + Nouveau run +
+
+ + + + + + + + ${rows} +
IDFichierStatutCree leNiveaux OKEcart volume (L0 -> dernier)
+
`; +} + +// ---------------- Nouveau run ---------------- +function renderNew() { + app.innerHTML = ` +

Nouveau run

+
+
+ + +
+
+ Options avancees (optionnel) +
+
+ + +
+
+ + +
+
+
+ + +
`; + + document.getElementById('upload-form').addEventListener('submit', async (e) => { + e.preventDefault(); + const form = e.target; + const fd = new FormData(form); + const errEl = document.getElementById('upload-error'); + errEl.classList.add('hidden'); + const btn = form.querySelector('button[type=submit]'); + btn.disabled = true; + btn.textContent = 'Envoi...'; + try { + const res = await fetch(API, { method: 'POST', body: fd }); + const json = await res.json(); + if (!res.ok) throw new Error(json.message || 'Echec de l\'envoi'); + location.hash = `#/runs/${json.id}`; + } catch (err) { + errEl.textContent = err.message; + errEl.classList.remove('hidden'); + btn.disabled = false; + btn.textContent = 'Lancer le run'; + } + }); +} + +// ---------------- Detail d'un run ---------------- +async function renderDetail(id) { + app.innerHTML = '

Chargement...

'; + await loadDetail(id); + pollTimer = setInterval(async () => { + const run = await api(`${API}/${id}`); + if (run.status === 'pending' || run.status === 'running') { + paintDetail(run); + } else { + stopPolling(); + paintDetail(run); + } + }, 2000); +} + +async function loadDetail(id) { + const run = await api(`${API}/${id}`); + paintDetail(run); +} + +function levelRow(l, id) { + const warnCls = l.status === 'error' ? 'bg-red-950/40' : l.warn ? 'bg-amber-950/30' : ''; + const statusTxt = l.status === 'ok' ? '' : `
${escapeHtml(l.message || '')}
`; + return ` + + ${l.level} + ${l.spatialStep !== null ? fmt(l.spatialStep, 5) + ' m' : 'complet'} + ${l.status === 'ok' ? l.pointCount.toLocaleString('fr-FR') : '-'} + ${l.status === 'ok' ? fmt(l.pointRatio * 100, 2) + ' %' : '-'} + ${l.status === 'ok' ? fmt(l.volume, 4) + ' m3' : '-'} + ${l.status === 'ok' ? fmt(l.surface, 3) + ' m2' : '-'} + ${l.status === 'ok' ? fmt(l.matchingCellsPct, 1) + ' %' : '-'} + ${statusBadge(l.status)} ${l.warn && l.status === 'ok' ? 'a verifier' : ''}${statusTxt} + `; +} + +function paintDetail(run) { + const r = run.report; + const levelsTable = r ? ` +
+ + + + + + + + + ${r.levels.map((l) => levelRow(l, run.id)).join('')} +
NiveauPas spatialPoints% points vs L0VolumeSurfaceMatching cellsStatut
+
` : ''; + + const params = r ? ` +
+
Zref
${fmt(r.params.zref, 4)} (${r.params.zrefSource})
+
Pas initial
${fmt(r.params.initialStep, 5)} m (${r.params.initialStepSource})
+
Grille volume
${fmt(r.params.gridStep, 5)} m
+
Facteur / etapes
x${r.params.factor} sur ${r.params.steps}
+
` : ''; + + const heightmaps = r ? r.levels.filter((l) => l.imageFile).map((l) => ` +
+ +

Niveau ${l.level}

+
`).join('') : ''; + + const summaryCharts = run.status === 'done' ? ['volume_vs_level.png', 'points_vs_level.png', 'robustness_vs_level.png'].map((f) => ` +
+ +
`).join('') : ''; + + const downloads = run.status === 'done' ? ` + ` : ''; + + const errorBlock = run.error ? `
${escapeHtml(run.error)}
` : ''; + + app.innerHTML = ` +
+

${escapeHtml(run.originalFilename)}

+ ${statusBadge(run.status)} +
+

Cree le ${new Date(run.createdAt).toLocaleString('fr-FR')}${run.finishedAt ? ' - termine le ' + new Date(run.finishedAt).toLocaleString('fr-FR') : ''}

+ ${errorBlock} + ${params} + ${levelsTable} + ${downloads} + ${heightmaps ? `

Cartes de hauteur par niveau

${heightmaps}
` : ''} + ${summaryCharts ? `

Graphiques de synthese

${summaryCharts}
` : ''} +

Journal

+
${escapeHtml(run.log || '')}
+ `; +} + +function escapeHtml(s) { + return String(s).replace(/[&<>"']/g, (c) => ({ '&': '&', '<': '<', '>': '>', '"': '"', "'": ''' }[c])); +} diff --git a/public/index.html b/public/index.html new file mode 100644 index 0000000..5bae0f9 --- /dev/null +++ b/public/index.html @@ -0,0 +1,28 @@ + + + + + + Volume 2.5D & robustesse a la decimation + + + + +
+ +
+ +
+ + + + diff --git a/python/las_to_xyz.py b/python/las_to_xyz.py new file mode 100644 index 0000000..e0740f8 --- /dev/null +++ b/python/las_to_xyz.py @@ -0,0 +1,47 @@ +#!/usr/bin/env python3 +""" +Convertit un fichier LAS/LAZ/COPC (via laspy) en nuage ASCII XYZ brut, lisible +nativement par CloudCompare sans plugin LAS (le paquet apt Debian de CloudCompare +ne fournit pas le plugin LAS/LAZ - seulement le plugin "Core I/O"). + +Un .copc.laz est simplement lu comme un LAZ standard (les points sont +identiques, seule l'indexation octree COPC, inutile ici, est ignoree). + +Usage: + python3 las_to_xyz.py --input nuage.laz --output nuage.xyz +""" +import argparse +import json +import sys + +import laspy +import numpy as np + + +def main() -> int: + parser = argparse.ArgumentParser() + parser.add_argument("--input", required=True) + parser.add_argument("--output", required=True) + args = parser.parse_args() + + try: + total = 0 + with laspy.open(args.input) as reader, open(args.output, "w", encoding="ascii") as out: + for chunk in reader.chunk_iterator(2_000_000): + xyz = np.column_stack([np.asarray(chunk.x), np.asarray(chunk.y), np.asarray(chunk.z)]) + np.savetxt(out, xyz, fmt="%.6f") + total += xyz.shape[0] + except Exception as exc: + print(json.dumps({"error": f"conversion LAS/LAZ impossible: {exc}"})) + return 1 + + if total == 0: + print(json.dumps({"error": "le fichier LAS/LAZ ne contient aucun point"})) + return 1 + + print(json.dumps({"ok": True, "count": total})) + return 0 + + +if __name__ == "__main__": + sys.exit(main()) diff --git a/python/render_images.py b/python/render_images.py new file mode 100644 index 0000000..2a94804 --- /dev/null +++ b/python/render_images.py @@ -0,0 +1,155 @@ +#!/usr/bin/env python3 +""" +Generation des images du dossier de resultats: + - "heightmap" : construit une carte de hauteur (grille 2.5D) coloree en PNG directement a partir + d'un nuage ASCII XYZ (binning numpy). Le paquet apt CloudCompare (Debian) plante + sur l'export GeoTIFF (assertion GDAL manquante) - on reconstruit donc la grille + nous-memes plutot que de dependre de -RASTERIZE -OUTPUT_RASTER_Z. + - "summary" : genere les graphiques de synthese (volume/points/robustesse vs niveau de decimation) + a partir du report.json produit par le pipeline. + +Usage: + python3 render_images.py heightmap --input cloud.xyz --gridstep 0.05 --output heightmap.png --title "Niveau 0" + python3 render_images.py summary --report report.json --outdir images/ +""" +import argparse +import json +import sys +from pathlib import Path + +import matplotlib + +matplotlib.use("Agg") +import matplotlib.pyplot as plt +import numpy as np +from scipy.stats import binned_statistic_2d + + +def cmd_heightmap(args: argparse.Namespace) -> int: + try: + pts = np.loadtxt(args.input, dtype=np.float64, usecols=(0, 1, 2)) + except Exception as exc: + print(json.dumps({"error": f"lecture xyz impossible: {exc}"})) + return 1 + + if pts.ndim == 1: + pts = pts.reshape(1, -1) + + x, y, z = pts[:, 0], pts[:, 1], pts[:, 2] + xmin, xmax = float(np.min(x)), float(np.max(x)) + ymin, ymax = float(np.min(y)), float(np.max(y)) + nx = max(2, int(np.ceil((xmax - xmin) / args.gridstep)) + 1) if xmax > xmin else 2 + ny = max(2, int(np.ceil((ymax - ymin) / args.gridstep)) + 1) if ymax > ymin else 2 + # Grille bornee pour eviter une image demesuree si le pas est mal renseigne + nx, ny = min(nx, 2000), min(ny, 2000) + + arr = None + if pts.shape[0] >= 1 and xmax > xmin and ymax > ymin: + stat, _, _, _ = binned_statistic_2d(x, y, z, statistic="mean", bins=[nx, ny]) + arr = stat.T + + fig, ax = plt.subplots(figsize=(6, 5.2), dpi=130) + if arr is None or not np.isfinite(arr).any(): + ax.text(0.5, 0.5, "Aucune donnee exploitable", ha="center", va="center") + else: + im = ax.imshow(arr, cmap="terrain", origin="lower", extent=[xmin, xmax, ymin, ymax], aspect="auto") + cbar = fig.colorbar(im, ax=ax, shrink=0.85) + cbar.set_label("Altitude (m, moyenne par cellule)") + ax.set_title(args.title or Path(args.input).stem) + ax.set_xlabel("X (m)") + ax.set_ylabel("Y (m)") + fig.tight_layout() + fig.savefig(args.output) + plt.close(fig) + print(json.dumps({"ok": True, "output": args.output})) + return 0 + + +def cmd_summary(args: argparse.Namespace) -> int: + with open(args.report, "r", encoding="utf-8") as f: + report = json.load(f) + + levels = [lvl for lvl in report.get("levels", []) if lvl.get("status") == "ok"] + if not levels: + print(json.dumps({"error": "aucun niveau exploitable dans le rapport"})) + return 1 + + outdir = Path(args.outdir) + outdir.mkdir(parents=True, exist_ok=True) + + xs = [lvl["level"] for lvl in levels] + volumes = [lvl["volume"] for lvl in levels] + points = [lvl["pointCount"] for lvl in levels] + matching = [lvl["matchingCellsPct"] for lvl in levels] + v0 = volumes[0] if volumes else None + + # --- Volume vs niveau --- + fig, ax = plt.subplots(figsize=(6, 4), dpi=130) + ax.plot(xs, volumes, marker="o", color="#2563eb") + ax.set_xlabel("Niveau de decimation") + ax.set_ylabel("Volume (m3)") + ax.set_title("Volume calcule vs niveau de decimation") + ax.set_xticks(xs) + ax.grid(alpha=0.3) + fig.tight_layout() + fig.savefig(outdir / "volume_vs_level.png") + plt.close(fig) + + # --- Nombre de points (log) vs niveau --- + fig, ax = plt.subplots(figsize=(6, 4), dpi=130) + ax.semilogy(xs, points, marker="o", color="#16a34a") + ax.set_xlabel("Niveau de decimation") + ax.set_ylabel("Nombre de points (log)") + ax.set_title("Nombre de points vs niveau de decimation") + ax.set_xticks(xs) + ax.grid(alpha=0.3, which="both") + fig.tight_layout() + fig.savefig(outdir / "points_vs_level.png") + plt.close(fig) + + # --- Ecart relatif de volume + robustesse (matching cells %) vs niveau --- + fig, ax1 = plt.subplots(figsize=(6, 4), dpi=130) + if v0: + delta_pct = [100.0 * (v - v0) / v0 for v in volumes] + ax1.plot(xs, delta_pct, marker="o", color="#dc2626", label="Ecart volume vs niveau 0 (%)") + ax1.set_xlabel("Niveau de decimation") + ax1.set_ylabel("Ecart volume (%)", color="#dc2626") + ax1.set_xticks(xs) + ax1.grid(alpha=0.3) + + ax2 = ax1.twinx() + ax2.plot(xs, matching, marker="s", linestyle="--", color="#7c3aed", label="Matching cells (%)") + ax2.set_ylabel("Matching cells (%)", color="#7c3aed") + ax2.set_ylim(0, 105) + + fig.suptitle("Robustesse : ecart de volume et couverture de grille") + fig.tight_layout() + fig.savefig(outdir / "robustness_vs_level.png") + plt.close(fig) + + print(json.dumps({"ok": True, "outdir": str(outdir)})) + return 0 + + +def main() -> int: + parser = argparse.ArgumentParser() + sub = parser.add_subparsers(dest="command", required=True) + + p_heightmap = sub.add_parser("heightmap") + p_heightmap.add_argument("--input", required=True) + p_heightmap.add_argument("--gridstep", required=True, type=float) + p_heightmap.add_argument("--output", required=True) + p_heightmap.add_argument("--title", default=None) + p_heightmap.set_defaults(func=cmd_heightmap) + + p_summary = sub.add_parser("summary") + p_summary.add_argument("--report", required=True) + p_summary.add_argument("--outdir", required=True) + p_summary.set_defaults(func=cmd_summary) + + args = parser.parse_args() + return args.func(args) + + +if __name__ == "__main__": + sys.exit(main()) diff --git a/python/requirements.txt b/python/requirements.txt new file mode 100644 index 0000000..6505c47 --- /dev/null +++ b/python/requirements.txt @@ -0,0 +1,5 @@ +numpy>=1.26,<2.3 +laspy[lazrs]>=2.5,<2.6 +scipy>=1.11,<1.15 +Pillow>=10.0,<11.0 +matplotlib>=3.8,<3.10 diff --git a/python/stats_helper.py b/python/stats_helper.py new file mode 100644 index 0000000..4efe79e --- /dev/null +++ b/python/stats_helper.py @@ -0,0 +1,72 @@ +#!/usr/bin/env python3 +""" +Calcule des statistiques (distance moyenne/mediane au plus proche voisin, bbox) +a partir d'un echantillon de points XYZ (fichier ASCII exporte par CloudCompare). + +Usage: + python3 stats_helper.py --input sample.xyz + +Sortie: un objet JSON unique sur stdout. +""" +import argparse +import json +import sys + +import numpy as np +from scipy.spatial import cKDTree + + +def main() -> int: + parser = argparse.ArgumentParser() + parser.add_argument("--input", required=True, help="Fichier ASCII XYZ (espace separe)") + args = parser.parse_args() + + try: + pts = np.loadtxt(args.input, dtype=np.float64, usecols=(0, 1, 2)) + except Exception as exc: # fichier vide, format inattendu, etc. + print(json.dumps({"error": f"lecture impossible: {exc}"})) + return 1 + + if pts.ndim == 1: + # une seule ligne -> un seul point + pts = pts.reshape(1, -1) + + count = int(pts.shape[0]) + if count < 2: + print(json.dumps({"error": f"pas assez de points dans l'echantillon ({count})"})) + return 1 + + bbox = { + "xmin": float(np.min(pts[:, 0])), + "xmax": float(np.max(pts[:, 0])), + "ymin": float(np.min(pts[:, 1])), + "ymax": float(np.max(pts[:, 1])), + "zmin": float(np.min(pts[:, 2])), + "zmax": float(np.max(pts[:, 2])), + } + + tree = cKDTree(pts) + # k=2 : le plus proche voisin de chaque point est le point lui-meme (distance 0), + # le 2e plus proche est le vrai plus proche voisin. + dists, _ = tree.query(pts, k=2, workers=-1) + nn_dist = dists[:, 1] + nn_dist = nn_dist[np.isfinite(nn_dist) & (nn_dist > 0)] + + if nn_dist.size == 0: + print(json.dumps({"error": "distances au plus proche voisin toutes nulles/invalides (points dupliques ?)"})) + return 1 + + result = { + "count": count, + "mean_nn": float(np.mean(nn_dist)), + "median_nn": float(np.median(nn_dist)), + "std_nn": float(np.std(nn_dist)), + "bbox": bbox, + "approximate": True, + } + print(json.dumps(result)) + return 0 + + +if __name__ == "__main__": + sys.exit(main()) diff --git a/src/app.module.ts b/src/app.module.ts new file mode 100644 index 0000000..1c75b41 --- /dev/null +++ b/src/app.module.ts @@ -0,0 +1,15 @@ +import { Module } from '@nestjs/common'; +import { ServeStaticModule } from '@nestjs/serve-static'; +import * as path from 'path'; +import { RunsModule } from './runs/runs.module'; + +@Module({ + imports: [ + ServeStaticModule.forRoot({ + rootPath: path.resolve(__dirname, '..', 'public'), + exclude: ['/api*'], + }), + RunsModule, + ], +}) +export class AppModule {} diff --git a/src/cloudcompare/cc-runner.service.spec.ts b/src/cloudcompare/cc-runner.service.spec.ts new file mode 100644 index 0000000..0a3d7c4 --- /dev/null +++ b/src/cloudcompare/cc-runner.service.spec.ts @@ -0,0 +1,122 @@ +import * as fs from 'fs/promises'; +import * as os from 'os'; +import * as path from 'path'; +import { CcRunnerService } from './cc-runner.service'; + +describe('CcRunnerService', () => { + const service = new CcRunnerService(); + + describe('parseLoadedPointCount', () => { + it('extrait le nombre de points du premier "Found one cloud with N points"', () => { + const log = ` + [12:56:04] [LOAD] + [12:56:04] Opening file: 'test_cloud.las' + [12:56:04] Found one cloud with 250000 points + [12:56:04] [LOAD] finished in 0.02 s. + `; + expect(service.parseLoadedPointCount(log)).toBe(250000); + }); + + it('renvoie null si le nuage n\'a pas pu etre charge', () => { + const log = `[13:18:20] [Load] Can't guess file format: unhandled file extension 'las'`; + expect(service.parseLoadedPointCount(log)).toBeNull(); + }); + }); + + describe('parseSubsampleResult', () => { + it('extrait le nombre de points apres -SS SPATIAL/RANDOM', () => { + const log = ` + [12:56:30] [SUBSAMPLE] + [12:56:30] \tResult: 25451 points + [12:56:30] [SUBSAMPLE] finished in 0.60 s. + `; + expect(service.parseSubsampleResult(log)).toBe(25451); + }); + + it('renvoie null si aucune section [SUBSAMPLE] n\'est presente', () => { + expect(service.parseSubsampleResult('rien a voir ici')).toBeNull(); + }); + }); + + describe('parseVolumeReportFile', () => { + // Format verifie empiriquement avec CloudCompare 2.13.2 (voir CLAUDE.md) : + // -VOLUME ne genere ce fichier que si AUTO_SAVE est ON. + const reportContent = [ + '1\tVolume: 7.834176', + '2\tSurface: 100.774998', + '3\t----------------------', + '4\tAdded volume: (+)7.975798', + '5\tRemoved volume: (-)0.141622', + '6\t----------------------', + '7\tMatching cells: 99.8%', + '8\tNon-matching cells:', + '9\t ground = 0.2%', + '10\t ceil = 0.0%', + '11\tAverage neighbors per cell: 8.0 / 8.0', + '12\t', + ].join('\n'); + + let tmpFile: string; + + beforeEach(async () => { + tmpFile = path.join(os.tmpdir(), `VolumeCalculationReport_test_${Date.now()}.txt`); + await fs.writeFile(tmpFile, reportContent, 'utf-8'); + }); + + afterEach(async () => { + await fs.unlink(tmpFile).catch(() => undefined); + }); + + it('parse toutes les valeurs du rapport CloudCompare', async () => { + const result = await service.parseVolumeReportFile(tmpFile); + expect(result).toEqual({ + volume: 7.834176, + surface: 100.774998, + addedVolume: 7.975798, + removedVolume: 0.141622, + matchingCellsPct: 99.8, + groundNonMatchingPct: 0.2, + ceilNonMatchingPct: 0.0, + avgNeighborsCurrent: 8.0, + avgNeighborsRef: 8.0, + }); + }); + + it('leve une erreur explicite si un champ attendu est absent', async () => { + await fs.writeFile(tmpFile, 'contenu inattendu sans les champs voulus', 'utf-8'); + await expect(service.parseVolumeReportFile(tmpFile)).rejects.toThrow(/Champ introuvable/); + }); + }); + + describe('findLatestFile', () => { + let dir: string; + + beforeEach(async () => { + dir = await fs.mkdtemp(path.join(os.tmpdir(), 'cc-runner-test-')); + }); + + afterEach(async () => { + await fs.rm(dir, { recursive: true, force: true }); + }); + + it('trouve un fichier ecrit apres coup dans un sous-dossier (CloudCompare ecrit relativement au nuage charge, pas au cwd)', async () => { + const sub = path.join(dir, 'levels'); + await fs.mkdir(sub); + const before = Date.now(); + await new Promise((r) => setTimeout(r, 10)); + const target = path.join(sub, 'VolumeCalculationReport_2026-01-01_00h00.txt'); + await fs.writeFile(target, 'contenu', 'utf-8'); + + const found = await service.findLatestFile(dir, { prefix: 'VolumeCalculationReport', suffix: '.txt', after: before }); + expect(found).toBe(target); + }); + + it('ignore les fichiers plus anciens que "after"', async () => { + const old = path.join(dir, 'old_report.txt'); + await fs.writeFile(old, 'contenu', 'utf-8'); + const after = Date.now() + 5000; + const found = await service.findLatestFile(dir, { suffix: '.txt', after }); + expect(found).toBeNull(); + }); + }); +}); diff --git a/src/cloudcompare/cc-runner.service.ts b/src/cloudcompare/cc-runner.service.ts new file mode 100644 index 0000000..7fe1732 --- /dev/null +++ b/src/cloudcompare/cc-runner.service.ts @@ -0,0 +1,141 @@ +import { Injectable, Logger } from '@nestjs/common'; +import { spawn } from 'child_process'; +import * as fs from 'fs/promises'; +import * as path from 'path'; +import { config } from '../config'; + +export interface CcResult { + stdout: string; + exitCode: number | null; +} + +export interface VolumeReport { + volume: number; + surface: number; + addedVolume: number; + removedVolume: number; + matchingCellsPct: number; + groundNonMatchingPct: number; + ceilNonMatchingPct: number; + avgNeighborsCurrent: number | null; + avgNeighborsRef: number | null; +} + +/** + * Wrapper bas niveau autour du binaire CloudCompare en ligne de commande. + * Chaque appel est un process independant (le CLI CloudCompare fonctionne comme + * une machine a etats sur les entites chargees pendant UN SEUL appel : on ne + * peut pas "continuer" une session precedente). + */ +@Injectable() +export class CcRunnerService { + private readonly logger = new Logger(CcRunnerService.name); + + /** + * autoSave=true est necessaire pour -VOLUME : CloudCompare ne genere le rapport + * "VolumeCalculationReport_*.txt" que si l'auto-sauvegarde est active (verifie empiriquement, + * non documente). -SS / -SAVE_CLOUDS / -RASTERIZE fonctionnent en revanche correctement avec + * autoSave=false (evite de polluer le dossier de travail avec des fichiers intermediaires). + */ + async run(args: string[], cwd: string, opts: { autoSave?: boolean } = {}): Promise { + await fs.mkdir(cwd, { recursive: true }); + const fullArgs = ['-SILENT', '-AUTO_SAVE', opts.autoSave ? 'ON' : 'OFF', ...args]; + this.logger.debug(`CloudCompare ${fullArgs.join(' ')} (cwd=${cwd})`); + + return new Promise((resolve, reject) => { + const child = spawn(config.cloudCompareBin, fullArgs, { + cwd, + windowsHide: true, + env: process.env, + }); + + let stdout = ''; + const timer = setTimeout(() => { + child.kill('SIGKILL'); + reject(new Error(`CloudCompare timeout apres ${config.ccTimeoutMs}ms (args: ${fullArgs.join(' ')})`)); + }, config.ccTimeoutMs); + + child.stdout?.on('data', (d) => (stdout += d.toString())); + child.stderr?.on('data', (d) => (stdout += d.toString())); + + child.on('error', (err) => { + clearTimeout(timer); + reject(new Error(`Impossible de lancer CloudCompare (${config.cloudCompareBin}): ${err.message}`)); + }); + + child.on('close', (code) => { + clearTimeout(timer); + resolve({ stdout, exitCode: code }); + }); + }); + } + + /** Cherche "Found one cloud with N points" (premiere occurrence = nuage juste charge par -O) */ + parseLoadedPointCount(log: string): number | null { + const m = log.match(/Found one cloud with (\d+) points/); + return m ? Number(m[1]) : null; + } + + /** Cherche "Result: N points" (sortie de -SS SPATIAL/RANDOM) */ + parseSubsampleResult(log: string): number | null { + const m = log.match(/\[SUBSAMPLE\][\s\S]*?Result:\s*(\d+)\s*points/); + return m ? Number(m[1]) : null; + } + + /** + * Trouve le fichier le plus recent correspondant a un prefixe/suffixe, apres un instant donne. + * Recherche recursive : CloudCompare ecrit les rapports/rasters relativement au dossier du + * nuage charge via -O (ex: "levels/"), pas forcement au cwd du process. + */ + async findLatestFile(rootDir: string, opts: { prefix?: string; suffix?: string; after: number }): Promise { + const candidates: Array<{ full: string; mtime: number }> = []; + + const walk = async (dir: string): Promise => { + const entries = await fs.readdir(dir, { withFileTypes: true }); + for (const entry of entries) { + const full = path.join(dir, entry.name); + if (entry.isDirectory()) { + await walk(full); + continue; + } + if (opts.prefix && !entry.name.startsWith(opts.prefix)) continue; + if (opts.suffix && !entry.name.endsWith(opts.suffix)) continue; + const stat = await fs.stat(full); + const mtime = stat.mtimeMs; + if (mtime < opts.after - 2000) continue; // marge de securite horloge + candidates.push({ full, mtime }); + } + }; + + await walk(rootDir); + if (candidates.length === 0) return null; + candidates.sort((a, b) => b.mtime - a.mtime); + return candidates[0].full; + } + + /** Parse le fichier texte "VolumeCalculationReport_*.txt" genere par -VOLUME */ + async parseVolumeReportFile(filePath: string): Promise { + const text = await fs.readFile(filePath, 'utf-8'); + const num = (re: RegExp): number => { + const m = text.match(re); + if (!m) throw new Error(`Champ introuvable dans le rapport de volume (${re}): ${filePath}`); + return Number(m[1]); + }; + const numOpt = (re: RegExp): number | null => { + const m = text.match(re); + return m ? Number(m[1]) : null; + }; + + return { + volume: num(/Volume:\s*([-\d.eE]+)/), + surface: num(/Surface:\s*([-\d.eE]+)/), + addedVolume: num(/Added volume:\s*\(\+\)\s*([-\d.eE]+)/), + removedVolume: num(/Removed volume:\s*\(-\)\s*([-\d.eE]+)/), + matchingCellsPct: num(/Matching cells:\s*([-\d.eE]+)\s*%/), + groundNonMatchingPct: num(/ground\s*=\s*([-\d.eE]+)\s*%/), + ceilNonMatchingPct: num(/ceil\s*=\s*([-\d.eE]+)\s*%/), + avgNeighborsCurrent: numOpt(/Average neighbors per cell:\s*([-\d.eE]+)\s*\//), + avgNeighborsRef: numOpt(/Average neighbors per cell:.*\/\s*([-\d.eE]+)/), + }; + } +} diff --git a/src/cloudcompare/cloudcompare.module.ts b/src/cloudcompare/cloudcompare.module.ts new file mode 100644 index 0000000..5cdcc82 --- /dev/null +++ b/src/cloudcompare/cloudcompare.module.ts @@ -0,0 +1,8 @@ +import { Module } from '@nestjs/common'; +import { CcRunnerService } from './cc-runner.service'; + +@Module({ + providers: [CcRunnerService], + exports: [CcRunnerService], +}) +export class CloudCompareModule {} diff --git a/src/config.ts b/src/config.ts new file mode 100644 index 0000000..a338c83 --- /dev/null +++ b/src/config.ts @@ -0,0 +1,36 @@ +import * as path from 'path'; + +function envInt(name: string, fallback: number): number { + const v = process.env[name]; + if (!v) return fallback; + const n = Number(v); + return Number.isFinite(n) ? n : fallback; +} + +export const config = { + port: envInt('PORT', 3000), + dataDir: process.env.DATA_DIR ?? path.resolve(process.cwd(), 'data'), + cloudCompareBin: process.env.CLOUDCOMPARE_BIN ?? 'CloudCompare', + pythonBin: process.env.PYTHON_BIN ?? 'python3', + // Pipeline constants (voir plan: facteur 2, 5 etapes) + decimationFactor: 2, + decimationSteps: 5, + // Nombre max de points echantillonnes pour estimer la distance moyenne au plus proche voisin + statsSampleCap: envInt('STATS_SAMPLE_CAP', 50000), + // Le pas de grille utilise pour TOUS les calculs de volume (fixe, derive du pas spatial initial) + // afin que les 6 niveaux restent comparables entre eux. + gridStepMultiplier: 2, + // En dessous de ce nombre de points, on arrete la decimation progressive (cloud devenu inexploitable) + minPointsToContinue: 25, + // Seuil d'alerte robustesse : si "matching cells %" du rapport CloudCompare passe sous ce seuil, + // le resultat est signale comme peu fiable dans l'UI. + matchingCellsWarnThreshold: 90, + // Taille max d'upload (octets) + maxUploadBytes: envInt('MAX_UPLOAD_MB', 2048) * 1024 * 1024, + // Timeout par appel CloudCompare CLI (ms) + ccTimeoutMs: envInt('CC_TIMEOUT_MS', 10 * 60 * 1000), +}; + +export const uploadsDir = () => path.join(config.dataDir, 'uploads'); +export const resultsDir = () => path.join(config.dataDir, 'results'); +export const dbPath = () => path.join(config.dataDir, 'app.db'); diff --git a/src/main.ts b/src/main.ts new file mode 100644 index 0000000..e16c376 --- /dev/null +++ b/src/main.ts @@ -0,0 +1,14 @@ +import 'reflect-metadata'; +import { NestFactory } from '@nestjs/core'; +import { Logger } from '@nestjs/common'; +import { AppModule } from './app.module'; +import { config } from './config'; + +async function bootstrap() { + const app = await NestFactory.create(AppModule, { bodyParser: true }); + app.enableCors(); + await app.listen(config.port, '0.0.0.0'); + new Logger('Bootstrap').log(`Application demarree sur http://0.0.0.0:${config.port} (data dir: ${config.dataDir})`); +} + +bootstrap(); diff --git a/src/pipeline/pipeline.module.ts b/src/pipeline/pipeline.module.ts new file mode 100644 index 0000000..24538e7 --- /dev/null +++ b/src/pipeline/pipeline.module.ts @@ -0,0 +1,11 @@ +import { Module } from '@nestjs/common'; +import { CloudCompareModule } from '../cloudcompare/cloudcompare.module'; +import { PyHelperModule } from '../pyhelper/pyhelper.module'; +import { PipelineService } from './pipeline.service'; + +@Module({ + imports: [CloudCompareModule, PyHelperModule], + providers: [PipelineService], + exports: [PipelineService], +}) +export class PipelineModule {} diff --git a/src/pipeline/pipeline.service.ts b/src/pipeline/pipeline.service.ts new file mode 100644 index 0000000..cc64c46 --- /dev/null +++ b/src/pipeline/pipeline.service.ts @@ -0,0 +1,447 @@ +import { Injectable, Logger } from '@nestjs/common'; +import * as fs from 'fs/promises'; +import * as path from 'path'; +import { config } from '../config'; +import { CcRunnerService } from '../cloudcompare/cc-runner.service'; +import { PyHelperService } from '../pyhelper/pyhelper.service'; +import { LevelResult, RunParamsInput, RunReport } from './types'; + +export function sanitizeBaseName(filename: string): string { + const base = filename.replace(/\.[^./\\]+$/, ''); + return base.replace(/[^a-zA-Z0-9_-]+/g, '_').slice(0, 80) || 'nuage'; +} + +/** + * Orchestration complete d'un run : + * 1) statistiques (pas spatial initial, plan de reference Z) + * 2) niveau 0 = nuage complet -> volume + image + * 3) niveaux 1..N = decimation spatiale progressive (facteur 2, chainee depuis le niveau precedent) + * 4) assemblage des nuages exploitables dans un seul .bin + * 5) rapport CSV/JSON + graphiques de synthese + */ +@Injectable() +export class PipelineService { + private readonly logger = new Logger(PipelineService.name); + + constructor( + private readonly cc: CcRunnerService, + private readonly py: PyHelperService, + ) {} + + async execute( + runId: string, + inputPath: string, + originalFilename: string, + workDir: string, + params: RunParamsInput, + onProgress: (msg: string) => void, + ): Promise { + const levelsDir = path.join(workDir, 'levels'); + const imagesDir = path.join(workDir, 'images'); + const rawDir = path.join(workDir, 'raw'); + await fs.mkdir(levelsDir, { recursive: true }); + await fs.mkdir(imagesDir, { recursive: true }); + await fs.mkdir(rawDir, { recursive: true }); + + // ---------- 0) Normalisation du format d'entree ---------- + // Le paquet apt CloudCompare (Debian, utilise dans l'image Docker) ne fournit pas le plugin + // LAS/LAZ (seulement "Core I/O"). On convertit donc LAS/LAZ/COPC en ASCII XYZ via laspy avant + // de transmettre le nuage a CloudCompare, qui lit nativement l'ASCII sans plugin. + let normalizedInputPath = inputPath; + const lowerInput = inputPath.toLowerCase(); + if (lowerInput.endsWith('.las') || lowerInput.endsWith('.laz')) { + onProgress('Conversion du nuage source (LAS/LAZ/COPC) en ASCII (CloudCompare ne lit pas le LAS nativement dans ce conteneur)...'); + const xyzPath = path.join(workDir, 'input_converted.xyz'); + await this.py.convertLasToXyz(inputPath, xyzPath); + normalizedInputPath = xyzPath; + } + + // ---------- 1) Statistiques ---------- + onProgress('Estimation du pas spatial initial (echantillonnage + KD-tree)...'); + const t0 = Date.now(); + const sampleRes = await this.cc.run( + ['-O', normalizedInputPath, '-SS', 'RANDOM', String(config.statsSampleCap), '-C_EXPORT_FMT', 'ASC', '-PREC', '6', '-SAVE_CLOUDS', 'FILE', 'sample.xyz'], + workDir, + ); + const totalPointCount = this.cc.parseLoadedPointCount(sampleRes.stdout); + if (totalPointCount === null) { + throw new Error(`Impossible de lire le nuage d'entree. Sortie CloudCompare:\n${sampleRes.stdout.slice(-2000)}`); + } + const samplePath = path.join(workDir, 'sample.xyz'); + await this.assertExists(samplePath, 'echantillonnage du nuage (sample.xyz)', sampleRes.stdout); + const stats = await this.py.computeStats(samplePath); + + const initialStep = params.initialStepOverride ?? stats.median_nn; + const zref = params.zrefOverride ?? stats.bbox.zmin; + const gridStep = initialStep * config.gridStepMultiplier; + + onProgress( + `Pas initial=${initialStep.toFixed(5)}m (${params.initialStepOverride ? 'override' : 'auto, mediane NN'}), ` + + `grille volume=${gridStep.toFixed(5)}m, Zref=${zref.toFixed(4)} (${params.zrefOverride ? 'override' : 'auto, Zmin echantillon'}). ` + + `[${Date.now() - t0}ms]`, + ); + + const levels: LevelResult[] = []; + + // ---------- 2) Niveau 0 : nuage complet ---------- + onProgress('Niveau 0 (nuage complet) : conversion .bin + calcul de volume...'); + const level0 = await this.computeLevel({ + level: 0, + spatialStep: null, + sourceBinOrOriginal: normalizedInputPath, + isFirstConversion: true, + levelsDir, + imagesDir, + rawDir, + workDir, + gridStep, + zref, + refPointCount: totalPointCount, + onProgress, + }); + levels.push(level0); + + // ---------- 3) Niveaux 1..N : decimation progressive ---------- + let prevBinAbs = level0.binFile ? path.join(workDir, level0.binFile) : null; + let prevPointCount = level0.pointCount; + let stopped = level0.status !== 'ok'; + let stopReason = level0.status !== 'ok' ? 'le niveau 0 a echoue' : ''; + + for (let i = 1; i <= config.decimationSteps; i++) { + if (stopped || !prevBinAbs) { + levels.push(this.skippedLevel(i, stopReason)); + continue; + } + if (prevPointCount < config.minPointsToContinue) { + stopReason = `nuage trop clairseme apres le niveau ${i - 1} (${prevPointCount} points < seuil ${config.minPointsToContinue})`; + levels.push(this.skippedLevel(i, stopReason)); + stopped = true; + continue; + } + + const spatialStep = initialStep * Math.pow(config.decimationFactor, i); + onProgress(`Niveau ${i} : decimation spatiale (pas=${spatialStep.toFixed(5)}m) depuis le niveau ${i - 1}...`); + + try { + const lvl = await this.computeLevel({ + level: i, + spatialStep, + sourceBinOrOriginal: prevBinAbs, + isFirstConversion: false, + levelsDir, + imagesDir, + rawDir, + workDir, + gridStep, + zref, + refPointCount: totalPointCount, + onProgress, + }); + levels.push(lvl); + if (lvl.status === 'ok') { + prevBinAbs = lvl.binFile ? path.join(workDir, lvl.binFile) : null; + prevPointCount = lvl.pointCount; + } else { + stopped = true; + stopReason = lvl.message ?? `echec au niveau ${i}`; + } + } catch (err: any) { + this.logger.error(`Niveau ${i} en erreur: ${err.message}`); + levels.push({ + level: i, + spatialStep, + pointCount: 0, + pointRatio: 0, + volume: null, + surface: null, + addedVolume: null, + removedVolume: null, + matchingCellsPct: null, + groundNonMatchingPct: null, + ceilNonMatchingPct: null, + warn: true, + status: 'error', + message: err.message, + binFile: null, + imageFile: null, + computeTimeMs: 0, + }); + stopped = true; + stopReason = err.message; + } + } + + // ---------- 4) Assemblage ---------- + onProgress('Assemblage des nuages exploitables dans un seul fichier .bin...'); + const okLevels = levels.filter((l) => l.status === 'ok' && l.binFile); + let mergedBinFile: string | null = null; + if (okLevels.length > 0) { + const baseName = sanitizeBaseName(originalFilename); + const mergedName = `${baseName}_all_levels.bin`; + const args: string[] = []; + for (const lvl of okLevels) args.push('-O', lvl.binFile!); + args.push('-C_EXPORT_FMT', 'BIN', '-SAVE_CLOUDS', 'ALL_AT_ONCE', 'FILE', mergedName); + const mergeRes = await this.cc.run(args, workDir); + const mergedAbs = path.join(workDir, mergedName); + await this.assertExists(mergedAbs, 'fusion des nuages', mergeRes.stdout); + mergedBinFile = mergedName; + } + + const report: RunReport = { + runId, + originalFilename, + createdAt: new Date().toISOString(), + params: { + zref, + zrefSource: params.zrefOverride !== undefined ? 'override' : 'auto', + initialStep, + initialStepSource: params.initialStepOverride !== undefined ? 'override' : 'auto', + gridStep, + factor: config.decimationFactor, + steps: config.decimationSteps, + sampleStats: { + sampleCount: stats.count, + meanNn: stats.mean_nn, + medianNn: stats.median_nn, + bboxApprox: stats.bbox, + }, + }, + levels, + mergedBinFile, + }; + + await fs.writeFile(path.join(workDir, 'report.json'), JSON.stringify(report, null, 2), 'utf-8'); + await fs.writeFile(path.join(workDir, 'report.csv'), this.toCsv(report), 'utf-8'); + + // ---------- 5) Graphiques de synthese ---------- + onProgress('Generation des graphiques de synthese...'); + try { + await this.py.renderSummary(path.join(workDir, 'report.json'), imagesDir); + } catch (err: any) { + this.logger.warn(`Graphiques de synthese non generes: ${err.message}`); + } + + return report; + } + + private skippedLevel(level: number, reason: string): LevelResult { + return { + level, + spatialStep: null, + pointCount: 0, + pointRatio: 0, + volume: null, + surface: null, + addedVolume: null, + removedVolume: null, + matchingCellsPct: null, + groundNonMatchingPct: null, + ceilNonMatchingPct: null, + warn: true, + status: 'skipped', + message: reason, + binFile: null, + imageFile: null, + computeTimeMs: 0, + }; + } + + private async assertExists(p: string, what: string, ccLog: string) { + try { + await fs.access(p); + } catch { + throw new Error(`Etape "${what}" : fichier attendu introuvable (${p}). Sortie CloudCompare:\n${ccLog.slice(-2000)}`); + } + } + + private async computeLevel(opts: { + level: number; + spatialStep: number | null; + sourceBinOrOriginal: string; + isFirstConversion: boolean; + levelsDir: string; + imagesDir: string; + rawDir: string; + workDir: string; + gridStep: number; + zref: number; + refPointCount: number; + onProgress: (msg: string) => void; + }): Promise { + const { level, spatialStep, workDir, gridStep, zref, refPointCount } = opts; + const t0 = Date.now(); + let binRelPath: string; + let pointCount: number; + + if (opts.isFirstConversion) { + // Niveau 0 : simple conversion du fichier d'entree en .bin canonique + binRelPath = path.posix.join('levels', 'L0_full.bin'); + const res = await this.cc.run(['-O', opts.sourceBinOrOriginal, '-C_EXPORT_FMT', 'BIN', '-SAVE_CLOUDS', 'FILE', binRelPath], workDir); + const n = this.cc.parseLoadedPointCount(res.stdout); + if (n === null) { + return this.errorLevel(level, spatialStep, `Conversion niveau 0 echouee. Sortie:\n${res.stdout.slice(-1500)}`, t0); + } + pointCount = n; + await this.assertExists(path.join(workDir, binRelPath), 'conversion niveau 0', res.stdout); + } else { + // Niveaux 1..N : decimation spatiale depuis le niveau precedent + const stepStr = spatialStep!.toFixed(6); + binRelPath = path.posix.join('levels', `L${level}_step${stepStr}.bin`); + const res = await this.cc.run( + ['-O', opts.sourceBinOrOriginal, '-SS', 'SPATIAL', stepStr, '-C_EXPORT_FMT', 'BIN', '-SAVE_CLOUDS', 'FILE', binRelPath], + workDir, + ); + const n = this.cc.parseSubsampleResult(res.stdout); + if (n === null || n === 0) { + return { + level, + spatialStep, + pointCount: 0, + pointRatio: 0, + volume: null, + surface: null, + addedVolume: null, + removedVolume: null, + matchingCellsPct: null, + groundNonMatchingPct: null, + ceilNonMatchingPct: null, + warn: true, + status: 'skipped', + message: `decimation spatiale n'a produit aucun point exploitable (pas=${stepStr}m)`, + binFile: null, + imageFile: null, + computeTimeMs: Date.now() - t0, + }; + } + pointCount = n; + await this.assertExists(path.join(workDir, binRelPath), `decimation niveau ${level}`, res.stdout); + } + + // Volume (necessite AUTO_SAVE ON, sinon CloudCompare ne genere pas le rapport texte - voir cc-runner.service.ts) + const beforeVolume = Date.now(); + const volRes = await this.cc.run( + ['-O', binRelPath, '-VOLUME', '-GRID_STEP', String(gridStep), '-CONST_HEIGHT', String(zref)], + workDir, + { autoSave: true }, + ); + const reportFile = await this.cc.findLatestFile(workDir, { prefix: 'VolumeCalculationReport', suffix: '.txt', after: beforeVolume }); + if (!reportFile) { + return this.errorLevel(level, spatialStep, `Rapport de volume introuvable au niveau ${level}. Sortie:\n${volRes.stdout.slice(-1500)}`, t0, binRelPath); + } + const vol = await this.cc.parseVolumeReportFile(reportFile); + const rawReportDest = path.join(opts.rawDir, `L${level}_volume_report.txt`); + await fs.rename(reportFile, rawReportDest); + + // AUTO_SAVE ON sauvegarde aussi une grille "*_HEIGHT_DIFFERENCE_*.bin" qu'on ne veut pas garder + const strayGrid = await this.cc.findLatestFile(workDir, { suffix: '.bin', after: beforeVolume }); + if (strayGrid && strayGrid !== path.join(workDir, binRelPath)) { + await fs.unlink(strayGrid).catch(() => undefined); + } + + // Carte de hauteur : export ASCII du nuage + binning numpy cote Python. + // (Le paquet apt CloudCompare, utilise dans l'image Docker, plante sur l'export GeoTIFF natif + // -RASTERIZE -OUTPUT_RASTER_Z faute de support GDAL compile - on reconstruit donc la grille + // nous-memes a partir d'un export ASCII, qui lui fonctionne sans plugin.) + let imageRelPath: string | null = null; + try { + const xyzExportRel = path.posix.join('raw', `L${level}_points.xyz`); + await this.cc.run(['-O', binRelPath, '-C_EXPORT_FMT', 'ASC', '-PREC', '6', '-SAVE_CLOUDS', 'FILE', xyzExportRel], workDir); + const xyzAbs = path.join(workDir, xyzExportRel); + await this.assertExists(xyzAbs, `export ASCII niveau ${level}`, ''); + const pngName = `L${level}_heightmap.png`; + const pngAbs = path.join(opts.imagesDir, pngName); + const title = spatialStep === null ? `Niveau 0 (complet, ${pointCount} pts)` : `Niveau ${level} (pas=${spatialStep.toFixed(4)}m, ${pointCount} pts)`; + await this.py.renderHeightmap(xyzAbs, gridStep, pngAbs, title); + imageRelPath = path.posix.join('images', pngName); + } catch (err: any) { + this.logger.warn(`Image niveau ${level} non generee: ${err.message}`); + } + + const warn = vol.matchingCellsPct < config.matchingCellsWarnThreshold; + + return { + level, + spatialStep, + pointCount, + pointRatio: refPointCount > 0 ? pointCount / refPointCount : 0, + volume: vol.volume, + surface: vol.surface, + addedVolume: vol.addedVolume, + removedVolume: vol.removedVolume, + matchingCellsPct: vol.matchingCellsPct, + groundNonMatchingPct: vol.groundNonMatchingPct, + ceilNonMatchingPct: vol.ceilNonMatchingPct, + warn, + status: 'ok', + binFile: binRelPath, + imageFile: imageRelPath, + computeTimeMs: Date.now() - t0, + }; + } + + private errorLevel(level: number, spatialStep: number | null, message: string, t0: number, binFile: string | null = null): LevelResult { + return { + level, + spatialStep, + pointCount: 0, + pointRatio: 0, + volume: null, + surface: null, + addedVolume: null, + removedVolume: null, + matchingCellsPct: null, + groundNonMatchingPct: null, + ceilNonMatchingPct: null, + warn: true, + status: 'error', + message, + binFile, + imageFile: null, + computeTimeMs: Date.now() - t0, + }; + } + + private toCsv(report: RunReport): string { + return reportToCsv(report); + } +} + +export function reportToCsv(report: RunReport): string { + const headers = [ + 'level', + 'spatialStep', + 'pointCount', + 'pointRatio', + 'volume', + 'surface', + 'addedVolume', + 'removedVolume', + 'matchingCellsPct', + 'groundNonMatchingPct', + 'ceilNonMatchingPct', + 'status', + 'warn', + 'computeTimeMs', + 'message', + ]; + const rows = report.levels.map((l) => + [ + l.level, + l.spatialStep ?? '', + l.pointCount, + l.pointRatio, + l.volume ?? '', + l.surface ?? '', + l.addedVolume ?? '', + l.removedVolume ?? '', + l.matchingCellsPct ?? '', + l.groundNonMatchingPct ?? '', + l.ceilNonMatchingPct ?? '', + l.status, + l.warn, + l.computeTimeMs, + (l.message ?? '').replace(/[\r\n,]+/g, ' '), + ].join(','), + ); + return [headers.join(','), ...rows].join('\n') + '\n'; +} diff --git a/src/pipeline/pipeline.util.spec.ts b/src/pipeline/pipeline.util.spec.ts new file mode 100644 index 0000000..3301f1c --- /dev/null +++ b/src/pipeline/pipeline.util.spec.ts @@ -0,0 +1,103 @@ +import { reportToCsv, sanitizeBaseName } from './pipeline.service'; +import { RunReport } from './types'; + +describe('sanitizeBaseName', () => { + it('retire l\'extension et les caracteres non surs', () => { + expect(sanitizeBaseName('mon nuage (2026) v2.las')).toBe('mon_nuage_2026_v2'); + }); + + it('gere le double-extension .copc.laz (ne retire que le dernier ".laz")', () => { + expect(sanitizeBaseName('zone_chantier.copc.laz')).toBe('zone_chantier_copc'); + }); + + it('retombe sur un nom par defaut si le nom de base est vide apres extraction de l\'extension', () => { + expect(sanitizeBaseName('.las')).toBe('nuage'); + }); + + it('tronque a 80 caracteres', () => { + const long = 'a'.repeat(200) + '.las'; + expect(sanitizeBaseName(long).length).toBe(80); + }); +}); + +describe('reportToCsv', () => { + const baseReport: RunReport = { + runId: 'run-1', + originalFilename: 'test.las', + createdAt: '2026-01-01T00:00:00.000Z', + params: { + zref: 100, + zrefSource: 'auto', + initialStep: 0.02, + initialStepSource: 'auto', + gridStep: 0.04, + factor: 2, + steps: 1, + sampleStats: { sampleCount: 100, meanNn: 0.02, medianNn: 0.02, bboxApprox: { xmin: 0, xmax: 1, ymin: 0, ymax: 1, zmin: 100, zmax: 101 } }, + }, + levels: [ + { + level: 0, + spatialStep: null, + pointCount: 1000, + pointRatio: 1, + volume: 12.5, + surface: 100, + addedVolume: 12.5, + removedVolume: 0, + matchingCellsPct: 99, + groundNonMatchingPct: 1, + ceilNonMatchingPct: 0, + warn: false, + status: 'ok', + binFile: 'levels/L0_full.bin', + imageFile: 'images/L0_heightmap.png', + computeTimeMs: 500, + }, + { + level: 1, + spatialStep: 0.04, + pointCount: 0, + pointRatio: 0, + volume: null, + surface: null, + addedVolume: null, + removedVolume: null, + matchingCellsPct: null, + groundNonMatchingPct: null, + ceilNonMatchingPct: null, + warn: true, + status: 'skipped', + message: 'decimation, pas assez de points\navec une virgule, ici', + binFile: null, + imageFile: null, + computeTimeMs: 0, + }, + ], + mergedBinFile: 'test_all_levels.bin', + }; + + it('genere un en-tete et une ligne par niveau', () => { + const csv = reportToCsv(baseReport); + const lines = csv.trim().split('\n'); + expect(lines).toHaveLength(3); // header + 2 niveaux + expect(lines[0]).toBe( + 'level,spatialStep,pointCount,pointRatio,volume,surface,addedVolume,removedVolume,matchingCellsPct,groundNonMatchingPct,ceilNonMatchingPct,status,warn,computeTimeMs,message', + ); + }); + + it('remplace les sauts de ligne et virgules dans les messages pour ne pas casser le CSV', () => { + const csv = reportToCsv(baseReport); + const lines = csv.trim().split('\n'); + expect(lines[2]).not.toContain('\n'); + // le message ne doit contenir aucune virgule qui ajouterait une colonne supplementaire + const messageField = lines[2].split(',').slice(14).join(','); + expect(messageField).not.toMatch(/,/); + }); + + it('laisse les champs numeriques null en cellule vide plutot que "null"', () => { + const csv = reportToCsv(baseReport); + const lines = csv.trim().split('\n'); + expect(lines[2]).not.toContain('null'); + }); +}); diff --git a/src/pipeline/types.ts b/src/pipeline/types.ts new file mode 100644 index 0000000..4a0a118 --- /dev/null +++ b/src/pipeline/types.ts @@ -0,0 +1,47 @@ +export interface LevelResult { + level: number; + spatialStep: number | null; // null pour le niveau 0 (nuage complet, non decime) + pointCount: number; + pointRatio: number; // vs niveau 0 + volume: number | null; + surface: number | null; + addedVolume: number | null; + removedVolume: number | null; + matchingCellsPct: number | null; + groundNonMatchingPct: number | null; + ceilNonMatchingPct: number | null; + warn: boolean; + status: 'ok' | 'skipped' | 'error'; + message?: string; + binFile: string | null; // chemin relatif au dossier du run + imageFile: string | null; // chemin relatif au dossier du run + computeTimeMs: number; +} + +export interface RunParamsInput { + zrefOverride?: number; + initialStepOverride?: number; +} + +export interface RunReport { + runId: string; + originalFilename: string; + createdAt: string; + params: { + zref: number; + zrefSource: 'override' | 'auto'; + initialStep: number; + initialStepSource: 'override' | 'auto'; + gridStep: number; + factor: number; + steps: number; + sampleStats: { + sampleCount: number; + meanNn: number; + medianNn: number; + bboxApprox: { xmin: number; xmax: number; ymin: number; ymax: number; zmin: number; zmax: number }; + }; + }; + levels: LevelResult[]; + mergedBinFile: string | null; +} diff --git a/src/pyhelper/pyhelper.module.ts b/src/pyhelper/pyhelper.module.ts new file mode 100644 index 0000000..651f367 --- /dev/null +++ b/src/pyhelper/pyhelper.module.ts @@ -0,0 +1,8 @@ +import { Module } from '@nestjs/common'; +import { PyHelperService } from './pyhelper.service'; + +@Module({ + providers: [PyHelperService], + exports: [PyHelperService], +}) +export class PyHelperModule {} diff --git a/src/pyhelper/pyhelper.service.ts b/src/pyhelper/pyhelper.service.ts new file mode 100644 index 0000000..ea67f41 --- /dev/null +++ b/src/pyhelper/pyhelper.service.ts @@ -0,0 +1,84 @@ +import { Injectable, Logger } from '@nestjs/common'; +import { spawn } from 'child_process'; +import * as path from 'path'; +import { config } from '../config'; + +const PYTHON_DIR = path.resolve(__dirname, '..', '..', 'python'); + +export interface CloudStats { + count: number; + mean_nn: number; + median_nn: number; + std_nn: number; + bbox: { xmin: number; xmax: number; ymin: number; ymax: number; zmin: number; zmax: number }; + approximate: boolean; +} + +/** Wrapper autour des scripts python/*.py (statistiques + generation d'images). */ +@Injectable() +export class PyHelperService { + private readonly logger = new Logger(PyHelperService.name); + + private async runJson(scriptRelPath: string, args: string[]): Promise { + const scriptPath = path.join(PYTHON_DIR, scriptRelPath); + return new Promise((resolve, reject) => { + const child = spawn(config.pythonBin, [scriptPath, ...args], { windowsHide: true }); + let stdout = ''; + let stderr = ''; + child.stdout.on('data', (d) => (stdout += d.toString())); + child.stderr.on('data', (d) => (stderr += d.toString())); + child.on('error', (err) => reject(new Error(`Impossible de lancer python (${config.pythonBin}): ${err.message}`))); + child.on('close', (code) => { + if (stderr) this.logger.warn(`${scriptRelPath} stderr: ${stderr.trim()}`); + const trimmed = stdout.trim(); + if (!trimmed) { + reject(new Error(`${scriptRelPath} n'a produit aucune sortie (code ${code}). stderr: ${stderr}`)); + return; + } + let parsed: any; + try { + parsed = JSON.parse(trimmed.split('\n').pop()!); + } catch { + reject(new Error(`Sortie JSON invalide de ${scriptRelPath}: ${trimmed}`)); + return; + } + if (parsed.error) { + reject(new Error(`${scriptRelPath}: ${parsed.error}`)); + return; + } + resolve(parsed); + }); + }); + } + + computeStats(xyzSamplePath: string): Promise { + return this.runJson('stats_helper.py', ['--input', xyzSamplePath]); + } + + renderHeightmap(xyzPath: string, gridStep: number, outputPngPath: string, title: string): Promise { + return this.runJson('render_images.py', [ + 'heightmap', + '--input', + xyzPath, + '--gridstep', + String(gridStep), + '--output', + outputPngPath, + '--title', + title, + ]); + } + + renderSummary(reportJsonPath: string, outDir: string): Promise { + return this.runJson('render_images.py', ['summary', '--report', reportJsonPath, '--outdir', outDir]); + } + + /** + * Le paquet apt CloudCompare (Debian) ne fournit pas le plugin LAS/LAZ (seulement "Core I/O"). + * On convertit donc les entrees LAS/LAZ/COPC en ASCII XYZ via laspy avant de les transmettre + * a CloudCompare, qui lit nativement le format ASCII sans plugin. + */ + async convertLasToXyz(inputPath: string, outputXyzPath: string): Promise<{ count: number }> { + return this.runJson('las_to_xyz.py', ['--input', inputPath, '--output', outputXyzPath]); + } +} diff --git a/src/runs/database.service.ts b/src/runs/database.service.ts new file mode 100644 index 0000000..db58ddb --- /dev/null +++ b/src/runs/database.service.ts @@ -0,0 +1,78 @@ +import { Injectable, OnModuleInit } from '@nestjs/common'; +import Database from 'better-sqlite3'; +import * as fs from 'fs'; +import { config, dbPath } from '../config'; + +export interface RunRow { + id: string; + original_filename: string; + status: 'pending' | 'running' | 'done' | 'error'; + created_at: string; + finished_at: string | null; + params_json: string | null; + report_json: string | null; + log: string; + error: string | null; +} + +@Injectable() +export class DatabaseService implements OnModuleInit { + private db!: Database.Database; + + onModuleInit() { + fs.mkdirSync(config.dataDir, { recursive: true }); + this.db = new Database(dbPath()); + this.db.pragma('journal_mode = WAL'); + this.db.exec(` + CREATE TABLE IF NOT EXISTS runs ( + id TEXT PRIMARY KEY, + original_filename TEXT NOT NULL, + status TEXT NOT NULL, + created_at TEXT NOT NULL, + finished_at TEXT, + params_json TEXT, + report_json TEXT, + log TEXT NOT NULL DEFAULT '', + error TEXT + ); + `); + } + + insert(row: Pick) { + this.db + .prepare( + `INSERT INTO runs (id, original_filename, status, created_at, params_json, log) VALUES (?, ?, ?, ?, ?, '')`, + ) + .run(row.id, row.original_filename, row.status, row.created_at, row.params_json); + } + + updateStatus(id: string, status: RunRow['status']) { + this.db.prepare(`UPDATE runs SET status = ? WHERE id = ?`).run(status, id); + } + + appendLog(id: string, line: string) { + this.db.prepare(`UPDATE runs SET log = log || ? WHERE id = ?`).run(`[${new Date().toISOString()}] ${line}\n`, id); + } + + complete(id: string, reportJson: string) { + this.db + .prepare(`UPDATE runs SET status = 'done', report_json = ?, finished_at = ? WHERE id = ?`) + .run(reportJson, new Date().toISOString(), id); + } + + fail(id: string, error: string) { + this.db.prepare(`UPDATE runs SET status = 'error', error = ?, finished_at = ? WHERE id = ?`).run(error, new Date().toISOString(), id); + } + + get(id: string): RunRow | undefined { + return this.db.prepare(`SELECT * FROM runs WHERE id = ?`).get(id) as RunRow | undefined; + } + + list(): RunRow[] { + return this.db.prepare(`SELECT * FROM runs ORDER BY created_at DESC`).all() as RunRow[]; + } + + remove(id: string) { + this.db.prepare(`DELETE FROM runs WHERE id = ?`).run(id); + } +} diff --git a/src/runs/runs.controller.ts b/src/runs/runs.controller.ts new file mode 100644 index 0000000..a9bff4f --- /dev/null +++ b/src/runs/runs.controller.ts @@ -0,0 +1,138 @@ +import { + BadRequestException, + Body, + Controller, + Delete, + Get, + NotFoundException, + Param, + Post, + Res, + UploadedFile, + UseInterceptors, +} from '@nestjs/common'; +import { FileInterceptor } from '@nestjs/platform-express'; +import type { Response } from 'express'; +import archiver from 'archiver'; +import * as fs from 'fs'; +import * as fsp from 'fs/promises'; +import * as path from 'path'; +import { diskStorage } from 'multer'; +import { config, uploadsDir } from '../config'; +import { RunsService } from './runs.service'; + +const ALLOWED_EXT = ['.las', '.laz', '.copc.laz', '.bin']; + +function isAllowedFilename(name: string): boolean { + const lower = name.toLowerCase(); + return ALLOWED_EXT.some((ext) => lower.endsWith(ext)); +} + +@Controller('api/runs') +export class RunsController { + constructor(private readonly runs: RunsService) {} + + @Post() + @UseInterceptors( + FileInterceptor('file', { + storage: diskStorage({ + destination: (_req, _file, cb) => { + const dir = path.join(uploadsDir(), 'incoming'); + fs.mkdirSync(dir, { recursive: true }); + cb(null, dir); + }, + filename: (_req, file, cb) => { + cb(null, `${Date.now()}_${Math.random().toString(36).slice(2)}__${file.originalname}`); + }, + }), + limits: { fileSize: config.maxUploadBytes }, + fileFilter: (_req, file, cb) => { + if (!isAllowedFilename(file.originalname)) { + cb(new BadRequestException(`Format non supporte. Extensions acceptees: ${ALLOWED_EXT.join(', ')}`) as any, false); + return; + } + cb(null, true); + }, + }), + ) + async create(@UploadedFile() file: Express.Multer.File, @Body() body: Record) { + if (!file) throw new BadRequestException('Aucun fichier recu (champ "file" attendu)'); + + const zrefOverride = this.parseOptionalNumber(body.zrefOverride); + const initialStepOverride = this.parseOptionalNumber(body.initialStepOverride); + + return this.runs.createRun({ + tmpFilePath: file.path, + originalFilename: file.originalname, + params: { zrefOverride, initialStepOverride }, + }); + } + + @Get() + list() { + return this.runs.list(); + } + + @Get(':id') + detail(@Param('id') id: string) { + return this.runs.getDetail(id); + } + + @Delete(':id') + async remove(@Param('id') id: string) { + return this.runs.delete(id); + } + + @Get(':id/download/bin') + async downloadBin(@Param('id') id: string, @Res() res: Response) { + const row = this.runs.getRowOrThrow(id); + const report = row.report_json ? JSON.parse(row.report_json) : null; + if (!report?.mergedBinFile) throw new NotFoundException('Fichier .bin fusionne non disponible pour ce run'); + const filePath = path.join(this.runs.workDirFor(id), report.mergedBinFile); + res.download(filePath, report.mergedBinFile); + } + + @Get(':id/download/csv') + async downloadCsv(@Param('id') id: string, @Res() res: Response) { + const filePath = path.join(this.runs.workDirFor(id), 'report.csv'); + if (!fs.existsSync(filePath)) throw new NotFoundException('report.csv non disponible pour ce run'); + res.download(filePath, `report_${id}.csv`); + } + + @Get(':id/download/zip') + async downloadZip(@Param('id') id: string, @Res() res: Response) { + const dir = this.runs.workDirFor(id); + if (!fs.existsSync(dir)) throw new NotFoundException('Resultats non disponibles pour ce run'); + + res.setHeader('Content-Type', 'application/zip'); + res.setHeader('Content-Disposition', `attachment; filename="run_${id}.zip"`); + + const archive = archiver('zip', { zlib: { level: 6 } }); + archive.on('error', (err) => { + res.status(500).end(`Erreur zip: ${err.message}`); + }); + archive.pipe(res); + archive.directory(dir, false); + await archive.finalize(); + } + + @Get(':id/images/:filename') + async image(@Param('id') id: string, @Param('filename') filename: string, @Res() res: Response) { + const safeName = path.basename(filename); + if (safeName !== filename) throw new BadRequestException('Nom de fichier invalide'); + const filePath = path.join(this.runs.workDirFor(id), 'images', safeName); + try { + await fsp.access(filePath); + } catch { + throw new NotFoundException('Image introuvable'); + } + res.sendFile(filePath); + } + + private parseOptionalNumber(v: string | undefined): number | undefined { + if (v === undefined || v === null || v === '') return undefined; + const n = Number(v); + if (!Number.isFinite(n)) throw new BadRequestException(`Valeur numerique invalide: ${v}`); + return n; + } +} diff --git a/src/runs/runs.module.ts b/src/runs/runs.module.ts new file mode 100644 index 0000000..9c80612 --- /dev/null +++ b/src/runs/runs.module.ts @@ -0,0 +1,12 @@ +import { Module } from '@nestjs/common'; +import { PipelineModule } from '../pipeline/pipeline.module'; +import { DatabaseService } from './database.service'; +import { RunsController } from './runs.controller'; +import { RunsService } from './runs.service'; + +@Module({ + imports: [PipelineModule], + controllers: [RunsController], + providers: [DatabaseService, RunsService], +}) +export class RunsModule {} diff --git a/src/runs/runs.service.ts b/src/runs/runs.service.ts new file mode 100644 index 0000000..b99f58d --- /dev/null +++ b/src/runs/runs.service.ts @@ -0,0 +1,167 @@ +import { Injectable, Logger, NotFoundException } from '@nestjs/common'; +import * as fs from 'fs/promises'; +import * as path from 'path'; +import { v4 as uuidv4 } from 'uuid'; +import { resultsDir, uploadsDir } from '../config'; +import { PipelineService } from '../pipeline/pipeline.service'; +import { RunParamsInput } from '../pipeline/types'; +import { DatabaseService, RunRow } from './database.service'; + +export interface CreateRunOptions { + tmpFilePath: string; + originalFilename: string; + params: RunParamsInput; +} + +interface QueueJob { + id: string; + inputPath: string; + originalFilename: string; + params: RunParamsInput; +} + +@Injectable() +export class RunsService { + private readonly logger = new Logger(RunsService.name); + private queue: QueueJob[] = []; + private processing = false; + + constructor( + private readonly db: DatabaseService, + private readonly pipeline: PipelineService, + ) {} + + async createRun(opts: CreateRunOptions): Promise<{ id: string }> { + const id = uuidv4(); + const runUploadDir = path.join(uploadsDir(), id); + await fs.mkdir(runUploadDir, { recursive: true }); + + const ext = this.extensionOf(opts.originalFilename); + const destPath = path.join(runUploadDir, `input${ext}`); + await fs.rename(opts.tmpFilePath, destPath); + + this.db.insert({ + id, + original_filename: opts.originalFilename, + status: 'pending', + created_at: new Date().toISOString(), + params_json: JSON.stringify(opts.params), + }); + + this.queue.push({ id, inputPath: destPath, originalFilename: opts.originalFilename, params: opts.params }); + void this.processQueue(); + + return { id }; + } + + private async processQueue() { + if (this.processing) return; + this.processing = true; + try { + while (this.queue.length > 0) { + const job = this.queue.shift()!; + await this.runJob(job); + } + } finally { + this.processing = false; + } + } + + private async runJob(job: QueueJob) { + this.db.updateStatus(job.id, 'running'); + const workDir = path.join(resultsDir(), job.id); + await fs.mkdir(workDir, { recursive: true }); + + const onProgress = (msg: string) => { + this.logger.log(`[${job.id}] ${msg}`); + this.db.appendLog(job.id, msg); + }; + + try { + const report = await this.pipeline.execute(job.id, job.inputPath, job.originalFilename, workDir, job.params, onProgress); + this.db.complete(job.id, JSON.stringify(report)); + onProgress('Run termine avec succes.'); + } catch (err: any) { + this.logger.error(`Run ${job.id} en erreur: ${err.message}`); + this.db.appendLog(job.id, `ERREUR FATALE: ${err.message}`); + this.db.fail(job.id, err.message); + } + } + + list() { + return this.db.list().map((r) => this.toSummary(r)); + } + + getDetail(id: string) { + const row = this.db.get(id); + if (!row) throw new NotFoundException(`Run ${id} introuvable`); + return { + id: row.id, + originalFilename: row.original_filename, + status: row.status, + createdAt: row.created_at, + finishedAt: row.finished_at, + params: row.params_json ? JSON.parse(row.params_json) : null, + report: row.report_json ? JSON.parse(row.report_json) : null, + log: row.log, + error: row.error, + }; + } + + getRowOrThrow(id: string): RunRow { + const row = this.db.get(id); + if (!row) throw new NotFoundException(`Run ${id} introuvable`); + return row; + } + + workDirFor(id: string): string { + return path.join(resultsDir(), id); + } + + async delete(id: string) { + this.getRowOrThrow(id); // leve NotFoundException si le run n'existe pas + this.db.remove(id); + const work = this.workDirFor(id); + const upload = path.join(uploadsDir(), id); + await fs.rm(work, { recursive: true, force: true }); + await fs.rm(upload, { recursive: true, force: true }); + return { id }; + } + + private toSummary(row: RunRow) { + let summary: any = null; + if (row.report_json) { + try { + const report = JSON.parse(row.report_json); + const okLevels = (report.levels ?? []).filter((l: any) => l.status === 'ok'); + const first = okLevels[0]; + const last = okLevels[okLevels.length - 1]; + summary = { + levelsOk: okLevels.length, + levelsTotal: report.levels?.length ?? 0, + volumeLevel0: first?.volume ?? null, + volumeLastLevel: last?.volume ?? null, + volumeDeltaPct: first && last && first.volume ? (100 * (last.volume - first.volume)) / first.volume : null, + }; + } catch { + summary = null; + } + } + return { + id: row.id, + originalFilename: row.original_filename, + status: row.status, + createdAt: row.created_at, + finishedAt: row.finished_at, + error: row.error, + summary, + }; + } + + private extensionOf(filename: string): string { + const lower = filename.toLowerCase(); + if (lower.endsWith('.copc.laz')) return '.copc.laz'; + const idx = lower.lastIndexOf('.'); + return idx >= 0 ? filename.slice(idx) : ''; + } +} diff --git a/tsconfig.build.json b/tsconfig.build.json new file mode 100644 index 0000000..9aa5801 --- /dev/null +++ b/tsconfig.build.json @@ -0,0 +1,4 @@ +{ + "extends": "./tsconfig.json", + "exclude": ["node_modules", "dist", "**/*.spec.ts"] +} diff --git a/tsconfig.json b/tsconfig.json new file mode 100644 index 0000000..d290ba2 --- /dev/null +++ b/tsconfig.json @@ -0,0 +1,23 @@ +{ + "compilerOptions": { + "module": "commonjs", + "declaration": false, + "removeComments": true, + "emitDecoratorMetadata": true, + "experimentalDecorators": true, + "allowSyntheticDefaultImports": true, + "target": "ES2021", + "sourceMap": false, + "outDir": "./dist", + "baseUrl": "./", + "incremental": false, + "skipLibCheck": true, + "strictNullChecks": true, + "noImplicitAny": true, + "strictBindCallApply": true, + "forceConsistentCasingInFileNames": true, + "noFallthroughCasesInSwitch": true, + "esModuleInterop": true, + "resolveJsonModule": true + } +}