julian
f7a262ac9a
Build & push images / images (push) Successful in 6m31s
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
63 lines
2.3 KiB
YAML
63 lines
2.3 KiB
YAML
name: CI
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# Lint/typecheck/test the whole Turborepo on every push/PR to dev. Mirrors the
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# house pattern (cf. trm/processor): setup-node + corepack pnpm + frozen install.
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# No Docker, no signing — pure checks. The desktop bundle is a separate, tag-only
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# pipeline (see release.yml).
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on:
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push:
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branches: [dev]
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pull_request:
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branches: [dev, main]
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workflow_dispatch:
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jobs:
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check:
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runs-on: ubuntu-latest
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steps:
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- name: Checkout
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uses: actions/checkout@v4
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- name: Set up Node 22
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uses: actions/setup-node@v4
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with:
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node-version: 22
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- name: Enable pnpm
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# Pin to the repo's packageManager version (pnpm 10), not latest.
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run: corepack enable && corepack prepare pnpm@10.24.0 --activate
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- name: Install dependencies
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run: pnpm install --frozen-lockfile
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- name: Set up uv (Python toolchain for @parking/vision)
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# The vision service is a Python package wired into the Turbo graph via a
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# package.json shim; its lint/typecheck/test scripts shell to `uv run …`. CI
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# has no Python by default, so `uv run` would fail with "uv: not found" and
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# break the whole Turbo run. Install uv via its official standalone script
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# (the Gitea runner can't reliably resolve astral-sh/setup-uv); uv provisions the
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# pinned Python (.python-version) itself. See wiki/decisions/vision-service-packaging.md.
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run: |
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curl -LsSf https://astral.sh/uv/install.sh | sh
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echo "$HOME/.local/bin" >> "$GITHUB_PATH"
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- name: Sync vision deps
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# Light deps + the dev group (ruff/mypy/pytest) only — NOT the optional `alpr`
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# extra (heavy onnx/model stack), which isn't needed to lint/typecheck/test.
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working-directory: apps/vision
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run: uv sync --frozen
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- name: Sync trainer deps
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# Same rule: light core only, not the `train` extra (CPU torch); torch tests skip.
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working-directory: apps/trainer
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run: uv sync --frozen
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- name: Build + lint (Turbo)
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# Covers tsc typecheck, vite build, i18n catalog type-parity (a missing sq/en
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# key fails the build), AND the vision service's ruff lint via uv.
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run: pnpm turbo run build lint
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- name: Test
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run: pnpm turbo run test
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