fam
4ee9b6ce78
Rust + axum + cube-core，前端纯静态单页。ffmpeg 每 N 秒抽一帧（限宽 1280），image crate 逐帧灰度 MAE 算差异；前端拖阈值实时把相近帧变灰、 关键变化高亮，悬停出彩色大图，分页 + toolbar 常驻。按 X-Client-Id 分目录 隔离，存储走 hostPath。镜像非 scratch：debian-slim + ffmpeg + musl binary。
53 lines
1.8 KiB
YAML
53 lines
1.8 KiB
YAML
name: deploy video2slides
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# video2slides.famzheng.me — 长视频抽帧，逐帧差异比较，拖阈值挑关键画面/幻灯片。
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# host shell runner（fam 用户）。镜像非 scratch：debian-slim + ffmpeg + 静态 musl binary。
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on:
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push:
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branches: [master]
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paths:
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- 'apps/video2slides/**'
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- 'crates/cube-core/**'
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- 'Cargo.toml'
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- 'Cargo.lock'
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- '.gitea/workflows/deploy-video2slides.yml'
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workflow_dispatch:
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jobs:
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build-and-deploy:
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runs-on: ubuntu-latest
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env:
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APP: video2slides
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IMAGE: registry.famzheng.me/mochi/video2slides
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steps:
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- uses: actions/checkout@v4
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- name: Resolve image tag
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id: tag
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run: |
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echo "sha=$(git rev-parse --short=12 HEAD)" >> "$GITHUB_OUTPUT"
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- name: Build rust (musl static)
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run: |
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export PATH="$HOME/.cargo/bin:$PATH"
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cargo build --release --target x86_64-unknown-linux-musl -p "$APP"
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- name: Build & push image
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env:
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REGISTRY_TOKEN: ${{ secrets.REGISTRY_TOKEN }}
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run: |
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echo "$REGISTRY_TOKEN" | docker login registry.famzheng.me -u mochi --password-stdin
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# COPY binary 这层必须 --no-cache，否则 docker layer cache 会套用历史 binary
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# （cube 平台踩过的坑）。
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docker build --no-cache -f "apps/$APP/Dockerfile" -t "$IMAGE:${{ steps.tag.outputs.sha }}" .
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docker push "$IMAGE:${{ steps.tag.outputs.sha }}"
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- name: Initialize K8s resources
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run: |
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kubectl apply -f "apps/$APP/k8s/all.yaml"
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- name: Roll out to k3s
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run: |
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kubectl -n "cube-$APP" set image "deploy/$APP" "$APP=$IMAGE:${{ steps.tag.outputs.sha }}"
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kubectl -n "cube-$APP" rollout status "deploy/$APP" --timeout=120s
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