Files
julian f7a262ac9a
Build & push images / images (push) Successful in 6m31s
feat(trainer): phase-B body-type classifier — trainer job on the collector host + the classifier stage on the booth
apps/trainer (parking-trainer): inspect / train / evaluate / publish. Reads the wash
collector's SQLite + crops read-only off its volume; time split (validation = newest
slice); thin classes dropped; damped class weights; `features` mode (frozen ImageNet
backbone, on-disk feature cache, seconds to retrain) and `finetune` mode (light
augmentation). CPU-only torch from PyTorch's wheel index. ONNX export checked against
the torch model; NO model file below the validation floor (exit 3, report still written);
exit 2 = not enough labels. `evaluate` scores a shipped model on labels reviewed after
training + the unlabelled pile; `publish` PUTs a version folder to a Gitea generic package.
Light core deps; the `train` extra is heavy — CI syncs without it, torch tests skip.

apps/vision: BodyTypeClassifier (bodytype.onnx + sidecar = the preprocessing contract:
crop margin, input size, RGB 0-255, normalisation inside the graph) and
RefinedVehicleDetector over YOLOX — refines only `car` or a class the classifier trained
on, min-confidence, `detector_class` on the result; path set but no file = phase B off
without an error; a broken file is a health detail. models/bodytype.version (tracked,
empty) pins the published version the Dockerfile fetches at build (BuildKit secret;
a pin that cannot be fetched fails the build). Verified: a trainer model gives identical
probabilities inside the vision service; both images built and smoke-tested.

Delivery: parking-trainer image in build-images.yml, the `trainer` compose profile on the
collector stack (CPU, read-only data, TRAINER_OUT), commented TRAINER_OUT/PUBLISH_TOKEN in
the wash-collector stack, .dockerignore for both Python contexts, trainer deps synced in CI.

Wiki: bodytype-classifier-training rewritten as built (+ one fleet model not per site,
secrets/access, where the crops live), opencv-anpr-service §Phase B, vision-review-outbox,
vision-service-packaging, fleet-deployment-komodo, index, log.

Claude-Session: https://claude.ai/code/session_01FWncR69HgGPuei1dLrW3cU
2026-09-07 11:14:50 +02:00

166 lines
6.8 KiB
YAML

name: Build & push images
# Build the SERVER (API + SPA), COLLECTOR (wash review), VISION (ANPR) and TRAINER (phase-B job) container images and push them to the
# house Gitea registry, tagged by BRANCH + short SHA (branch-aware: dev→:dev, stage→:stage,
# main→:main). Separate from ci.yml (checks-only) and release.yml (tag-only desktop bundle).
# Mirrors the house pattern (cf. trm/processor build.yml). See
# wiki/decisions/container-deployment.md and fleet-deployment-komodo.md (dev→stage→main tiers).
on:
push:
branches: [dev, stage, main]
paths:
- 'apps/server/**'
- 'apps/web/**'
- 'apps/vision/**'
- 'apps/collector/**'
- 'apps/trainer/**'
- 'packages/**'
- 'package.json'
- 'pnpm-lock.yaml'
- 'pnpm-workspace.yaml'
- 'turbo.json'
- 'docker-compose*.yml'
- '.dockerignore'
- '.gitea/workflows/build-images.yml'
# Deploy/IaC changes (compose above, plus the Komodo Stack defs) also rebuild — so a
# promotion or a Stack tweak gets the same build+checks sanity pass before it reaches a
# booth, and a komodo-only push to `stage` still produces a :stage image.
- 'komodo/**'
workflow_dispatch:
env:
REGISTRY: git.infra.msai.al/mca/parking_solution
jobs:
images:
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v4
- name: Set up Node 22
uses: actions/setup-node@v4
with:
node-version: 22
- name: Enable pnpm
run: corepack enable && corepack prepare pnpm@10.24.0 --activate
- name: Install dependencies
run: pnpm install --frozen-lockfile
- name: Set up uv (for @parking/vision checks)
# Install uv via its official standalone script rather than a third-party action —
# the Gitea runner can't reliably resolve astral-sh/setup-uv. uv provisions the
# pinned Python (apps/vision/.python-version) itself. Add it to PATH for later steps.
run: |
curl -LsSf https://astral.sh/uv/install.sh | sh
echo "$HOME/.local/bin" >> "$GITHUB_PATH"
- name: Sync vision deps
working-directory: apps/vision
run: uv sync --frozen
- name: Sync trainer deps
# Light core only — NOT the `train` extra (CPU torch, ~200 MB); the torch tests skip.
working-directory: apps/trainer
run: uv sync --frozen
# Don't publish a broken image — run the same checks as ci.yml first.
- name: Build + lint + test (Turbo)
run: pnpm turbo run build lint test
- name: Compute tags
id: meta
# BRANCH = the pushed branch (dev|main); SHA = short commit. Two tags per image:
# the moving branch tag + an immutable branch-SHA tag.
run: |
BRANCH="${GITHUB_REF_NAME}"
SHA="$(echo "${GITHUB_SHA}" | cut -c1-7)"
echo "branch=${BRANCH}" >> "$GITHUB_OUTPUT"
echo "sha=${SHA}" >> "$GITHUB_OUTPUT"
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
with:
driver: docker-container
- name: Login to Gitea Registry
uses: docker/login-action@v3
with:
registry: git.infra.msai.al
username: ${{ secrets.REGISTRY_USERNAME }}
password: ${{ secrets.REGISTRY_PASSWORD }}
- name: Build & push SERVER (API + SPA)
uses: docker/build-push-action@v5
with:
context: .
file: apps/server/Dockerfile
push: true
build-args: |
BUILD_VERSION=${{ steps.meta.outputs.branch }}-${{ steps.meta.outputs.sha }}
tags: |
${{ env.REGISTRY }}/parking-server:${{ steps.meta.outputs.branch }}
${{ env.REGISTRY }}/parking-server:${{ steps.meta.outputs.branch }}-${{ steps.meta.outputs.sha }}
cache-from: type=registry,ref=${{ env.REGISTRY }}/parking-server:buildcache
cache-to: type=registry,ref=${{ env.REGISTRY }}/parking-server:buildcache,mode=max
- name: Build & push COLLECTOR (wash review)
uses: docker/build-push-action@v5
with:
context: .
file: apps/collector/Dockerfile
push: true
tags: |
${{ env.REGISTRY }}/parking-collector:${{ steps.meta.outputs.branch }}
${{ env.REGISTRY }}/parking-collector:${{ steps.meta.outputs.branch }}-${{ steps.meta.outputs.sha }}
cache-from: type=registry,ref=${{ env.REGISTRY }}/parking-collector:buildcache
cache-to: type=registry,ref=${{ env.REGISTRY }}/parking-collector:buildcache,mode=max
- name: Build & push VISION (ANPR)
uses: docker/build-push-action@v5
with:
context: apps/vision
file: apps/vision/Dockerfile
push: true
# The phase-B body-type classifier is fetched from the Gitea generic package registry
# at build when apps/vision/models/bodytype.version pins a version (empty = none). The
# registry user's credentials double as the fetch auth (BuildKit secret, never a layer).
secrets: |
bodytype_auth=${{ secrets.REGISTRY_USERNAME }}:${{ secrets.REGISTRY_PASSWORD }}
tags: |
${{ env.REGISTRY }}/parking-vision:${{ steps.meta.outputs.branch }}
${{ env.REGISTRY }}/parking-vision:${{ steps.meta.outputs.branch }}-${{ steps.meta.outputs.sha }}
cache-from: type=registry,ref=${{ env.REGISTRY }}/parking-vision:buildcache
cache-to: type=registry,ref=${{ env.REGISTRY }}/parking-vision:buildcache,mode=max
- name: Build & push TRAINER (phase-B job)
uses: docker/build-push-action@v5
with:
context: apps/trainer
file: apps/trainer/Dockerfile
push: true
tags: |
${{ env.REGISTRY }}/parking-trainer:${{ steps.meta.outputs.branch }}
${{ env.REGISTRY }}/parking-trainer:${{ steps.meta.outputs.branch }}-${{ steps.meta.outputs.sha }}
cache-from: type=registry,ref=${{ env.REGISTRY }}/parking-trainer:buildcache
cache-to: type=registry,ref=${{ env.REGISTRY }}/parking-trainer:buildcache,mode=max
# Optional: trigger a Komodo stack redeploy (cf. trm/processor). Enable by setting the
# KOMODO_* secrets; left guarded so it no-ops until the parking stack is wired.
- name: Trigger Komodo redeploy
if: success() && vars.KOMODO_ENABLED == 'true'
env:
URL: ${{ secrets.KOMODO_STACK_WEBHOOK_URL }}
SECRET: ${{ secrets.KOMODO_WEBHOOK_SECRET }}
run: |
body="{\"ref\":\"refs/heads/${GITHUB_REF_NAME}\"}"
sig=$(printf '%s' "$body" | openssl dgst -sha256 -hmac "$SECRET" | awk '{print $2}')
curl -fsS -X POST \
-H 'Content-Type: application/json' \
-H "X-Hub-Signature-256: sha256=$sig" \
-d "$body" \
"$URL"