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Author SHA1 Message Date
xiaoxia 08179d1369 fix(ci): strip ANSI codes before grep in vitest_incremental.sh
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vitest outputs ANSI color codes that interfere with grep matching.
'No test files found' skip logic was not triggered, causing CI failure.
Added sed to strip ANSI codes before grep check.

Closes #1221
2026-08-03 13:57:10 +08:00
SaaS Frontend 7594caaf02 fix(auth): 401拦截器排除auth端点 + login默认跳转/app/dashboard
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- client.ts: 401响应拦截器增加isAuthEndpoint判断,排除/auth/login、
  /auth/register、/auth/forgot-password、/auth/reset-password,
  避免登录密码错误时触发clearAuth+硬跳转,让401正常走错误提示逻辑
- useAuth.ts: login()默认跳转路径从'/'改为'/app/dashboard',
  与Login.tsx onFinish保持一致,消除双重navigate竞态

Closes #1221
2026-08-03 12:40:39 +08:00
979 changed files with 34974 additions and 118251 deletions
+6 -5
View File
@@ -36,11 +36,12 @@ jobs:
GITEA_REPO: xiaoxia/xiaoxia-saas
steps:
- name: Checkout code
shell: sh
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sH "Authorization: token $GITHUB_TOKEN" "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" | bash
uses: actions/checkout@v4
- name: Setup Python
uses: actions/setup-python@v5
with:
python-version: '3.12'
# ====== Cron模式:获取staging运行中镜像作为白名单 ======
- name: Get staging running images (whitelist)
-84
View File
@@ -1,84 +0,0 @@
name: API Base Image Build
on:
push:
branches:
- develop
- main
paths:
- 'requirements-base.txt'
- 'requirements.txt'
- 'infra/docker/api-base.Dockerfile'
workflow_dispatch:
jobs:
build-api-base:
name: Build API Base Image
runs-on: runtime-builder
timeout-minutes: 45
steps:
- name: Checkout code
shell: sh
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sH "Authorization: token $GITHUB_TOKEN" \
"${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" \
| bash
- name: Docker login to Registry
shell: sh
env:
ACR_USERNAME: ${{ secrets.ACR_USERNAME }}
ACR_PASSWORD: ${{ secrets.ACR_PASSWORD }}
GITEA_REGISTRY_USER: xiaoxia
GITEA_REGISTRY_TOKEN: ${{ secrets.REGISTRY_TOKEN }}
run: |
set -eu
for i in 1 2 3; do
echo "=== Docker login 尝试 $i/3 ==="
if printf '%s' "${ACR_PASSWORD}" | docker login xiaoxia-registry.cn-hangzhou.cr.aliyuncs.com -u "${ACR_USERNAME}" --password-stdin \
&& docker login git.xiaoxiajianji.com -u "${GITEA_REGISTRY_USER}" -p "${GITEA_REGISTRY_TOKEN}"; then
echo "✅ Docker login successful"
break
fi
echo "❌ Docker login 失败(尝试 $i/3),5s 后重试..."
sleep 5
done
- name: Build and push API base image
shell: sh
run: |
set -eu
ACR_IMAGE="xiaoxia-registry.cn-hangzhou.cr.aliyuncs.com/xiaoxiakeji/saas-api-base:latest"
GITEA_IMAGE="git.xiaoxiajianji.com/xiaoxia-saas/saas-api-base:latest"
echo "=== Building API base image ==="
# 使用普通 docker build(单平台不需要 buildx
docker build \
-f infra/docker/api-base.Dockerfile \
-t "${ACR_IMAGE}" \
.
echo ""
echo "✅ Image built successfully"
# 推送到 ACR
echo "=== Pushing to ACR ==="
docker push "${ACR_IMAGE}"
echo "✅ Pushed to ACR"
# 打标签并推送到 Gitea Packages 作为备份
echo "=== Pushing to Gitea Packages ==="
docker tag "${ACR_IMAGE}" "${GITEA_IMAGE}"
docker push "${GITEA_IMAGE}" || echo "⚠️ Gitea Packages push failed (non-fatal)"
echo "✅ Gitea backup push completed"
- name: Cleanup
if: always()
shell: sh
run: |
ACR_IMAGE="xiaoxia-registry.cn-hangzhou.cr.aliyuncs.com/xiaoxiakeji/saas-api-base:latest"
docker rmi "${ACR_IMAGE}" 2>/dev/null || true
echo "Cleanup done"
+1 -1
View File
@@ -8,7 +8,7 @@ permissions:
jobs:
ci-health-report:
name: CI健康度每日巡检
runs-on: ci-l2
runs-on: saas
timeout-minutes: 15
steps:
- name: Checkout code
+181 -299
View File
@@ -21,8 +21,20 @@ on:
permissions:
contents: read
concurrency:
group: ci-pipeline-${{ gitea.ref }}
cancel-in-progress: true
group: ci-pipeline-${{ gitea.event_name }}-${{ gitea.ref }}
# PR事件取消进行中的旧run,push事件不取消(确保完整CI跑完)
cancel-in-progress: ${{ gitea.event_name == 'pull_request' }}
env:
CI_PG_HOST: host.docker.internal
CI_LOCAL_PG_PORT: "5432"
CI_PG_USER: postgres
CI_PG_PASSWORD: postgres
CI_PG_DB: xiaoxia_saas
CI_SHARED_PG_PORT: "5433"
CI_SHARED_PG_USER: postgres
CI_SHARED_PG_PASSWORD: ci_pg_2026!
CI_DEFAULT_DB: xiaoxia_saas
jobs:
check-frontend-only:
name: Check if frontend-only change
@@ -37,7 +49,7 @@ jobs:
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sfH "Authorization: token $GITHUB_TOKEN" -o /tmp/_ci_checkout.sh "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" && bash /tmp/_ci_checkout.sh
curl -sH "Authorization: token $GITHUB_TOKEN" "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" | bash
- name: Check changed files
id: check
shell: bash
@@ -90,7 +102,7 @@ jobs:
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sfH "Authorization: token $GITHUB_TOKEN" -o /tmp/_ci_checkout.sh "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" && bash /tmp/_ci_checkout.sh
curl -sH "Authorization: token $GITHUB_TOKEN" "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" | bash
- name: Record job start time
shell: sh
run: bash scripts/ci/step_timer_start.sh
@@ -180,7 +192,7 @@ jobs:
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sfH "Authorization: token $GITHUB_TOKEN" -o /tmp/_ci_checkout.sh "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" && bash /tmp/_ci_checkout.sh
curl -sH "Authorization: token $GITHUB_TOKEN" "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" | bash
- name: Record job start time
shell: sh
run: bash scripts/ci/step_timer_start.sh
@@ -250,7 +262,7 @@ jobs:
permissions:
contents: read
env:
DATABASE_URL: postgresql+psycopg://postgres:postgres@host.docker.internal:5432/xiaoxia_saas
DATABASE_URL: postgresql+psycopg://${{ env.CI_PG_USER }}:${{ env.CI_PG_PASSWORD }}@${{ env.CI_PG_HOST }}:${{ env.CI_LOCAL_PG_PORT }}/${{ env.CI_PG_DB }}
USE_IN_MEMORY_DB: 'false'
CI_USE_SHARED_PG: 'true'
steps:
@@ -259,7 +271,7 @@ jobs:
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sfH "Authorization: token $GITHUB_TOKEN" -o /tmp/_ci_checkout.sh "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" && bash /tmp/_ci_checkout.sh
curl -sH "Authorization: token $GITHUB_TOKEN" "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" | bash
- name: Record job start time
shell: sh
run: bash scripts/ci/step_timer_start.sh
@@ -334,13 +346,14 @@ jobs:
OSS_ACCESS_KEY_SECRET: placeholder
OSS_BUCKET_NAME: xiaoxia-autocut
OSS_ENDPOINT: oss-cn-hangzhou.aliyuncs.com
JWT_SECRET_KEY: test-jwt-secret-for-ci-only-2026
steps:
- name: Checkout code
shell: sh
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sfH "Authorization: token $GITHUB_TOKEN" -o /tmp/_ci_checkout.sh "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" && bash /tmp/_ci_checkout.sh
curl -sH "Authorization: token $GITHUB_TOKEN" "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" | bash
- name: Record job start time
shell: sh
run: bash scripts/ci/step_timer_start.sh
@@ -398,20 +411,21 @@ jobs:
- validate-type-check
- validate-migration
env:
DATABASE_URL: postgresql+psycopg://postgres:postgres@host.docker.internal:5432/xiaoxia_saas
DATABASE_URL: postgresql+psycopg://${{ env.CI_PG_USER }}:${{ env.CI_PG_PASSWORD }}@${{ env.CI_PG_HOST }}:${{ env.CI_LOCAL_PG_PORT }}/${{ env.CI_PG_DB }}
USE_IN_MEMORY_DB: 'false'
CI_USE_SHARED_PG: 'true'
OSS_ACCESS_KEY_ID: placeholder
OSS_ACCESS_KEY_SECRET: placeholder
OSS_BUCKET_NAME: xiaoxia-autocut
OSS_ENDPOINT: oss-cn-hangzhou.aliyuncs.com
JWT_SECRET_KEY: test-jwt-secret-for-ci-only-2026
steps:
- name: Checkout code
shell: sh
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sfH "Authorization: token $GITHUB_TOKEN" -o /tmp/_ci_checkout.sh "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" && bash /tmp/_ci_checkout.sh
curl -sH "Authorization: token $GITHUB_TOKEN" "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" | bash
- name: Record job start time
shell: sh
run: bash scripts/ci/step_timer_start.sh
@@ -457,15 +471,13 @@ jobs:
name: Frontend Lint
runs-on: ci-l2
timeout-minutes: 10
needs: check-frontend-only
if: needs.check-frontend-only.outputs.skip_frontend != 'true'
steps:
- name: Checkout code
shell: sh
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sfH "Authorization: token $GITHUB_TOKEN" -o /tmp/_ci_checkout.sh "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" && bash /tmp/_ci_checkout.sh
curl -sH "Authorization: token $GITHUB_TOKEN" "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" | bash
- name: Record job start time
shell: sh
run: bash scripts/ci/step_timer_start.sh
@@ -527,7 +539,7 @@ jobs:
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sfH "Authorization: token $GITHUB_TOKEN" -o /tmp/_ci_checkout.sh "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" && bash /tmp/_ci_checkout.sh
curl -sH "Authorization: token $GITHUB_TOKEN" "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" | bash
- name: Record job start time
shell: sh
run: bash scripts/ci/step_timer_start.sh
@@ -577,12 +589,7 @@ jobs:
name: PR Build ${{ matrix.service_display }} Image
runs-on: runtime-builder
timeout-minutes: ${{ matrix.timeout }}
needs: check-frontend-only
if: |
github.event_name == 'pull_request' && (
(matrix.service == 'web' && needs.check-frontend-only.outputs.skip_frontend != 'true') ||
(matrix.service != 'web' && needs.check-frontend-only.outputs.skip_backend != 'true')
)
if: github.event_name == 'pull_request'
strategy:
fail-fast: false
matrix:
@@ -611,7 +618,7 @@ jobs:
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sfH "Authorization: token $GITHUB_TOKEN" -o /tmp/_ci_checkout.sh "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" && bash /tmp/_ci_checkout.sh
curl -sH "Authorization: token $GITHUB_TOKEN" "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" | bash
- name: Record job start time
shell: sh
run: bash scripts/ci/step_timer_start.sh
@@ -633,27 +640,83 @@ jobs:
echo "Docker login failed ($i/3), retrying in 5s..."
sleep 5
done
- name: Pre-build worker base image (fallback if not exist)
- name: Pre-build worker base images (3-level cache)
if: matrix.service == 'worker'
id: prebuild
shell: sh
shell: bash
run: |
set -eu
REGISTRY="xiaoxia-registry.cn-hangzhou.cr.aliyuncs.com/xiaoxiakeji"
BASE_IMAGE="${REGISTRY}/saas-worker-base:latest"
# 尝试拉取基础镜像
echo "检查 Worker 基础镜像..."
if docker pull "$BASE_IMAGE" 2>/dev/null; then
echo "✅ 基础镜像已存在"
echo "fallback=false" >> $GITHUB_OUTPUT
else
echo "⚠️ 基础镜像不存在,本地构建(fallback模式)..."
docker build -f infra/docker/worker-base.Dockerfile -t "$BASE_IMAGE" .
echo "fallback=true" >> $GITHUB_OUTPUT
echo "✅ Worker 基础镜像本地构建完成"
fi
GITEA_REGISTRY="git.xiaoxiajianji.com/xiaoxia-saas"
ACR_REGISTRY="xiaoxia-registry.cn-hangzhou.cr.aliyuncs.com/xiaoxiakeji"
GITEA_BUILDER="${GITEA_REGISTRY}/worker-base-builder:latest"
GITEA_RUNTIME="${GITEA_REGISTRY}/worker-base-runtime:latest"
ACR_BUILDER="${ACR_REGISTRY}/worker-base-builder:latest"
ACR_RUNTIME="${ACR_REGISTRY}/worker-base-runtime:latest"
# L1: 本地daemon缓存(DooD模式8runner共享宿主机daemon
echo "=== L1 本地缓存 ==="
if docker image inspect "$ACR_BUILDER" > /dev/null 2>&1 \
&& docker image inspect "$ACR_RUNTIME" > /dev/null 2>&1; then
echo "本地缓存命中"
echo "has_local_base=true" >> $GITHUB_OUTPUT
exit 0
fi
echo "本地无缓存"
# L2: Gitea registry缓存(内网快)
echo "=== L2 Registry拉取 ==="
if docker pull "$GITEA_BUILDER" 2>/dev/null && docker pull "$GITEA_RUNTIME" 2>/dev/null; then
echo "Registry拉取成功,重tag供Dockerfile使用"
docker tag "$GITEA_BUILDER" "$ACR_BUILDER"
docker tag "$GITEA_RUNTIME" "$ACR_RUNTIME"
echo "has_local_base=true" >> $GITHUB_OUTPUT
exit 0
fi
echo "Registry无缓存,需本地构建"
# L3: 本地构建
echo "=== L3 本地构建 ==="
BUILDER_NAME="ci-pr-builder-${GITHUB_RUN_ID:-local}"
if ! docker buildx inspect "$BUILDER_NAME" > /dev/null 2>&1; then
docker buildx create --use --name "$BUILDER_NAME" --driver docker-container
else
docker buildx use "$BUILDER_NAME"
fi
docker buildx inspect --bootstrap > /dev/null 2>&1
echo "构建 worker-base-builder..."
for attempt in 1 2 3; do
if docker buildx build --load -f infra/docker/worker-base-builder.Dockerfile -t "$ACR_BUILDER" .; then
echo "worker-base-builder 构建成功"
break
fi
echo "worker-base-builder 失败,重试 $attempt/3..."
docker buildx rm "$BUILDER_NAME" 2>/dev/null || true
docker buildx create --use --name "$BUILDER_NAME" --driver docker-container
sleep 3
done
echo "构建 worker-base-runtime..."
for attempt in 1 2 3; do
if docker buildx build --load -f infra/docker/worker-base-runtime.Dockerfile -t "$ACR_RUNTIME" .; then
echo "worker-base-runtime 构建成功"
break
fi
echo "worker-base-runtime 失败,重试 $attempt/3..."
docker buildx rm "$BUILDER_NAME" 2>/dev/null || true
docker buildx create --use --name "$BUILDER_NAME" --driver docker-container
sleep 3
done
# 推送到Gitea registry供后续复用
echo "=== 推送缓存到Registry ==="
docker tag "$ACR_BUILDER" "$GITEA_BUILDER"
docker tag "$ACR_RUNTIME" "$GITEA_RUNTIME"
docker push "$GITEA_BUILDER" 2>/dev/null || echo "push builder失败(不影响)"
docker push "$GITEA_RUNTIME" 2>/dev/null || echo "push runtime失败(不影响)"
echo "has_local_base=true" >> $GITHUB_OUTPUT
echo "基础镜像构建完成"
- name: Build PR image (verify only, no push)
shell: sh
run: |
@@ -667,15 +730,15 @@ jobs:
EXTRA_BUILD_ARGS="$EXTRA_BUILD_ARGS NGINX_CONF=infra/docker/nginx-staging.conf"
fi
# Worker: 始终用普通docker build(基础镜像已预装全部依赖,无需buildx
if [ "${{ matrix.service }}" = "worker" ]; then
echo "Worker: 使用普通docker build"
# Worker有本地base镜像时:用BuildKit直接构建(快,无需buildx容器
if [ "${{ matrix.service }}" = "worker" ] && [ "${{ steps.prebuild.outputs.has_local_base }}" = "true" ]; then
echo "本地base镜像已就绪,BuildKit快速构建"
BUILD_ARG_STR=""
for arg in $EXTRA_BUILD_ARGS; do
BUILD_ARG_STR="$BUILD_ARG_STR --build-arg $arg"
done
docker build -f ${{ matrix.dockerfile }} -t "${IMAGE_TAG}" $BUILD_ARG_STR .
echo "PR Build successful (worker, no buildx)"
DOCKER_BUILDKIT=1 docker build -f ${{ matrix.dockerfile }} -t "${IMAGE_TAG}" $BUILD_ARG_STR .
echo "快速构建成功"
exit 0
fi
@@ -762,7 +825,7 @@ jobs:
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sfH "Authorization: token $GITHUB_TOKEN" -o /tmp/_ci_checkout.sh "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" && bash /tmp/_ci_checkout.sh
curl -sH "Authorization: token $GITHUB_TOKEN" "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" | bash
- name: Record job start time
shell: sh
run: bash scripts/ci/step_timer_start.sh
@@ -798,7 +861,6 @@ jobs:
fi
- name: Setup buildx builder
if: matrix.service != 'worker'
shell: sh
run: |
set -eu
@@ -811,64 +873,41 @@ jobs:
fi
docker buildx inspect --bootstrap
- name: Pre-build worker base image (fallback if not exist)
if: matrix.service == 'worker'
shell: sh
run: |
set -eu
REGISTRY="xiaoxia-registry.cn-hangzhou.cr.aliyuncs.com/xiaoxiakeji"
BASE_IMAGE="${REGISTRY}/saas-worker-base:latest"
echo "检查 Worker 基础镜像..."
if docker pull "$BASE_IMAGE" 2>/dev/null; then
echo "✅ 基础镜像已存在"
else
echo "⚠️ 基础镜像不存在,本地构建(fallback..."
docker build -f infra/docker/worker-base.Dockerfile -t "$BASE_IMAGE" .
echo "✅ Worker 基础镜像本地构建完成"
fi
- name: Build and push ${{ matrix.service_display }} image
- name: Build and push ${{ matrix.service_display }} image (with retry)
shell: sh
run: |
set -eu
REGISTRY="xiaoxia-registry.cn-hangzhou.cr.aliyuncs.com/xiaoxiakeji"
IMAGE_TAG="${REGISTRY}/${{ matrix.image_name }}:${GITHUB_SHA}"
CACHE_REF="${REGISTRY}/${{ matrix.cache_name }}:${GITHUB_REF_NAME}"
if [ "${{ matrix.service }}" = "worker" ]; then
# Worker: plain docker build(基础镜像已预装全部依赖,无需 buildx)
echo "=== Worker: plain docker build ==="
docker build -f ${{ matrix.dockerfile }} -t "${IMAGE_TAG}" --build-arg APP_VERSION="${GITHUB_SHA}" .
docker push "${IMAGE_TAG}"
echo "✅ Worker image pushed: ${IMAGE_TAG}"
else
# API/Web: buildx with registry cache
CACHE_REF="${REGISTRY}/${{ matrix.cache_name }}:${GITHUB_REF_NAME}"
EXTRA_BUILD_ARGS="APP_VERSION=\"${GITHUB_SHA}\""
if [ "${{ matrix.service }}" = "web" ]; then
EXTRA_BUILD_ARGS="$EXTRA_BUILD_ARGS NGINX_CONF=infra/docker/nginx-staging.conf"
fi
NO_CACHE_FLAG=""
for i in 1 2 3; do
echo "=== Docker build 尝试 $i/3 ==="
if bash scripts/ci/docker_build_push.sh $NO_CACHE_FLAG ${{ matrix.dockerfile }} "${IMAGE_TAG}" "${CACHE_REF}" $EXTRA_BUILD_ARGS; then
echo "✅ Docker build 成功"
break
fi
echo "❌ Docker build 失败(尝试 $i/3"
[ $i -eq 3 ] && exit 1
sleep 10
if [ $i -eq 2 ]; then
NO_CACHE_FLAG="--no-cache"
echo "下次重试将使用 --no-cache"
fi
done
echo "${{ matrix.service_display }} image pushed: ${IMAGE_TAG}"
EXTRA_BUILD_ARGS="APP_VERSION=\"${GITHUB_SHA}\""
if [ "${{ matrix.service }}" = "web" ]; then
EXTRA_BUILD_ARGS="$EXTRA_BUILD_ARGS NGINX_CONF=infra/docker/nginx-staging.conf"
fi
# Docker build 带重试:失败自动重试2次,第2次重试加--no-cache
NO_CACHE_FLAG=""
for i in 1 2 3; do
echo "=== Docker build 尝试 $i/3 ==="
if bash scripts/ci/docker_build_push.sh $NO_CACHE_FLAG ${{ matrix.dockerfile }} "${IMAGE_TAG}" "${CACHE_REF}" $EXTRA_BUILD_ARGS; then
echo "✅ Docker build 成功"
break
fi
echo "❌ Docker build 失败(尝试 $i/3"
[ $i -eq 3 ] && exit 1
sleep 10
# 第2次重试使用 --no-cache
if [ $i -eq 2 ]; then
NO_CACHE_FLAG="--no-cache"
echo "下次重试将使用 --no-cache"
fi
done
echo
echo "${{ matrix.service_display }} image pushed: ${IMAGE_TAG}"
- name: Cleanup buildx builder
if: matrix.service != 'worker' && always()
if: always()
shell: sh
run: |
docker buildx rm ci-builder-${GITHUB_RUN_ID}-${GITHUB_JOB}-${{ matrix.cache_name }} 2>/dev/null || true
@@ -918,7 +957,7 @@ jobs:
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sfH "Authorization: token $GITHUB_TOKEN" -o /tmp/_ci_checkout.sh "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" && bash /tmp/_ci_checkout.sh
curl -sH "Authorization: token $GITHUB_TOKEN" "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" | bash
- name: Record job start time
shell: sh
run: bash scripts/ci/step_timer_start.sh
@@ -1070,14 +1109,32 @@ jobs:
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sfH "Authorization: token $GITHUB_TOKEN" -o /tmp/_ci_checkout.sh "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" && bash /tmp/_ci_checkout.sh
curl -sH "Authorization: token $GITHUB_TOKEN" "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" | bash
- name: Record job start time
shell: sh
run: bash scripts/ci/step_timer_start.sh
- name: Run Playwright E2E on staging
shell: bash
run: |
bash scripts/ci/run_staging_tests.sh e2e
set -eu
# DooD模式下不能用-v挂载(宿主机路径与CI容器路径不一致)
# 改用 docker create + docker cp 方式把代码拷进容器
CONTAINER_NAME="staging-e2e-${GITHUB_SHA::8}"
docker rm -f "$CONTAINER_NAME" 2>/dev/null || true
docker create --name "$CONTAINER_NAME" --ipc=host \
-e E2E_BASE_URL=https://staging.xiaoxiajianji.com \
-e E2E_API_BASE=https://staging-api.xiaoxiajianji.com/api/v1 \
-e E2E_BROWSER_CHANNEL=chromium \
-e PLAYWRIGHT_HEADLESS=1 \
-w /workspace/apps/web \
git.xiaoxiajianji.com/xiaoxia/base/playwright:v1.45.0-jammy \
sh -lc "npm ci && npx playwright test --reporter=line --project=chromium e2e/auth.spec.ts e2e/auth-guard.spec.ts e2e/core-upload.spec.ts e2e/core-generation.spec.ts"
docker cp apps "$CONTAINER_NAME:/workspace/"
docker cp package-lock.json "$CONTAINER_NAME:/workspace/" 2>/dev/null || true
docker start -a "$CONTAINER_NAME"
EXIT_CODE=$(docker wait "$CONTAINER_NAME")
docker rm "$CONTAINER_NAME" 2>/dev/null || true
exit $EXIT_CODE
- name: Job duration summary
if: always()
@@ -1117,14 +1174,30 @@ jobs:
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sfH "Authorization: token $GITHUB_TOKEN" -o /tmp/_ci_checkout.sh "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" && bash /tmp/_ci_checkout.sh
curl -sH "Authorization: token $GITHUB_TOKEN" "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" | bash
- name: Record job start time
shell: sh
run: bash scripts/ci/step_timer_start.sh
- name: Run API integration tests on staging
shell: bash
run: |
bash scripts/ci/run_staging_tests.sh api
set -eu
# DooD模式下不能用-v挂载(宿主机路径与CI容器路径不一致)
# 改用 docker create + docker cp 方式把代码拷进容器
CONTAINER_NAME="staging-api-tests-${GITHUB_SHA::8}"
docker rm -f "$CONTAINER_NAME" 2>/dev/null || true
docker create --name "$CONTAINER_NAME" \
-e E2E_BASE_URL=https://staging.xiaoxiajianji.com \
-e E2E_API_BASE=https://staging-api.xiaoxiajianji.com/api/v1 \
-w /workspace/apps/web \
git.xiaoxiajianji.com/xiaoxia/base/playwright:v1.45.0-jammy \
sh -lc 'npm ci && npx playwright test --reporter=line e2e/test_auth.spec.ts e2e/test_asset.spec.ts e2e/test_project.spec.ts'
docker cp apps "$CONTAINER_NAME:/workspace/"
docker cp package-lock.json "$CONTAINER_NAME:/workspace/" 2>/dev/null || true
docker start -a "$CONTAINER_NAME"
EXIT_CODE=$(docker wait "$CONTAINER_NAME")
docker rm "$CONTAINER_NAME" 2>/dev/null || true
exit $EXIT_CODE
- name: Job duration summary
if: always()
@@ -1157,11 +1230,6 @@ jobs:
runs-on: runtime-builder
timeout-minutes: ${{ matrix.timeout }}
needs:
- validate-code-quality
- validate-type-check
- unit-tests
- frontend-lint
- frontend-unit-test
if: startsWith(github.ref, 'refs/tags/v') || (github.event_name == 'push' && github.ref_name == 'main')
strategy:
fail-fast: false
@@ -1191,7 +1259,7 @@ jobs:
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sfH "Authorization: token $GITHUB_TOKEN" -o /tmp/_ci_checkout.sh "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" && bash /tmp/_ci_checkout.sh
curl -sH "Authorization: token $GITHUB_TOKEN" "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" | bash
- name: Record job start time
shell: sh
run: bash scripts/ci/step_timer_start.sh
@@ -1235,7 +1303,7 @@ jobs:
docker buildx inspect --bootstrap
- name: Build and push production ${{ matrix.service_display }} image (with retry)
shell: bash
shell: sh
run: |
set -eu
REGISTRY="xiaoxia-registry.cn-hangzhou.cr.aliyuncs.com/xiaoxiakeji"
@@ -1315,7 +1383,7 @@ jobs:
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sfH "Authorization: token $GITHUB_TOKEN" -o /tmp/_ci_checkout.sh "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" && bash /tmp/_ci_checkout.sh
curl -sH "Authorization: token $GITHUB_TOKEN" "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" | bash
- name: Record job start time
shell: sh
run: bash scripts/ci/step_timer_start.sh
@@ -1446,13 +1514,14 @@ jobs:
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sfH "Authorization: token $GITHUB_TOKEN" -o /tmp/_ci_checkout.sh "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" && bash /tmp/_ci_checkout.sh
curl -sH "Authorization: token $GITHUB_TOKEN" "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" | bash
- name: Record job start time
shell: sh
run: bash scripts/ci/step_timer_start.sh
- name: Run production browser E2E
shell: bash
shell: sh
run: |
set -eu
docker run --rm --ipc=host \
-e E2E_BASE_URL=https://saas.xiaoxiajianji.com \
-e E2E_API_BASE=https://api.xiaoxiajianji.com/api/v1 \
@@ -1461,7 +1530,7 @@ jobs:
-v "$PWD:/workspace" \
-w /workspace/apps/web \
git.xiaoxiajianji.com/xiaoxia/base/playwright:v1.45.0-jammy \
bash -c 'for i in 1 2 3; do npm ci --registry=https://registry.npmmirror.com && break; echo "npm ci attempt $i failed, retrying..."; sleep 15; done && npx playwright test --reporter=line --project=chromium e2e/auth.spec.ts e2e/auth-guard.spec.ts e2e/core-upload.spec.ts e2e/core-generation.spec.ts e2e/core-titles.spec.ts'
sh -lc 'npm ci && npx playwright test --reporter=line --project=chromium e2e/auth.spec.ts e2e/auth-guard.spec.ts e2e/core-upload.spec.ts e2e/core-generation.spec.ts e2e/core-titles.spec.ts'
- name: Job duration summary
if: always()
@@ -1505,7 +1574,7 @@ jobs:
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sfH "Authorization: token $GITHUB_TOKEN" -o /tmp/_ci_checkout.sh "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" && bash /tmp/_ci_checkout.sh
curl -sH "Authorization: token $GITHUB_TOKEN" "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" | bash
- name: Record job start time
shell: sh
run: bash scripts/ci/step_timer_start.sh
@@ -1564,7 +1633,7 @@ jobs:
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sfH "Authorization: token $GITHUB_TOKEN" -o /tmp/_ci_checkout.sh "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" && bash /tmp/_ci_checkout.sh
curl -sH "Authorization: token $GITHUB_TOKEN" "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" | bash
- name: Record job start time
shell: sh
run: bash scripts/ci/step_timer_start.sh
@@ -1631,190 +1700,3 @@ jobs:
START_TIME=""
[ -f /tmp/ci_job_start_time ] && START_TIME=$(cat /tmp/ci_job_start_time)
python3 scripts/ci/ci_trace_report.py --service xiaoxia-saas-ci --status $STATUS --start-time "$START_TIME" || true
ci-gate:
name: CI Gate
runs-on: ci-l2
if: always() && github.event_name == 'pull_request'
needs:
- check-frontend-only
- validate-code-quality
- validate-type-check
- validate-migration
- unit-tests
- integration-tests
- frontend-lint
- frontend-unit-test
- build-pr
timeout-minutes: 3
steps:
- name: Checkout code
shell: sh
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sfH "Authorization: token $GITHUB_TOKEN" -o /tmp/_ci_checkout.sh \
"${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" && bash /tmp/_ci_checkout.sh
- name: Evaluate CI Gate
id: gate
shell: bash
env:
GITHUB_TOKEN: ${{ github.token }}
PR_NUMBER: ${{ github.event.pull_request.number }}
PR_HEAD_SHA: ${{ github.event.pull_request.head.sha }}
RESULT_CHECK_FRONTEND: ${{ needs.check-frontend-only.result }}
RESULT_CODE_QUALITY: ${{ needs.validate-code-quality.result }}
RESULT_TYPE_CHECK: ${{ needs.validate-type-check.result }}
RESULT_MIGRATION: ${{ needs.validate-migration.result }}
RESULT_UNIT_TESTS: ${{ needs.unit-tests.result }}
RESULT_INTEGRATION: ${{ needs.integration-tests.result }}
RESULT_FRONTEND_LINT: ${{ needs.frontend-lint.result }}
RESULT_FRONTEND_UNIT: ${{ needs.frontend-unit-test.result }}
RESULT_BUILD_PR: ${{ needs.build-pr.result }}
run: |
set -eu
echo "=== CI Gate 评估 ==="
echo ""
echo "各job结果:"
echo " check-frontend-only: $RESULT_CHECK_FRONTEND"
echo " validate-code-quality: $RESULT_CODE_QUALITY"
echo " validate-type-check: $RESULT_TYPE_CHECK"
echo " validate-migration: $RESULT_MIGRATION"
echo " unit-tests: $RESULT_UNIT_TESTS"
echo " integration-tests: $RESULT_INTEGRATION"
echo " frontend-lint: $RESULT_FRONTEND_LINT"
echo " frontend-unit-test: $RESULT_FRONTEND_UNIT"
echo " build-pr: $RESULT_BUILD_PR"
# 查询 AI Code Review 状态(跨workflow,读commit status
AI_REVIEW_STATUS="pending"
AI_REVIEW_DESC=""
STATUS_JSON=$(curl -sfH "Authorization: token $GITHUB_TOKEN" \
"${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/commits/${PR_HEAD_SHA}/status" 2>/dev/null || true)
if [ -n "$STATUS_JSON" ]; then
AI_STATUS=$(echo "$STATUS_JSON" | python3 -c "
import json,sys
try:
data=json.load(sys.stdin)
for s in data.get('statuses',[]):
if 'AI Code Review' in s.get('context',''):
print(s['state']+'|'+s.get('description',''))
break
except: pass
" 2>/dev/null)
if [ -n "$AI_STATUS" ]; then
AI_REVIEW_STATUS="${AI_STATUS%%|*}"
AI_REVIEW_DESC="${AI_STATUS#*|}"
fi
fi
echo " ai-code-review: $AI_REVIEW_STATUS ($AI_REVIEW_DESC)"
echo ""
# 判断PR类型
SKIP_BACKEND="${{ needs.check-frontend-only.outputs.skip_backend }}"
SKIP_FRONTEND="${{ needs.check-frontend-only.outputs.skip_frontend }}"
echo "PR类型: skip_backend=$SKIP_BACKEND, skip_frontend=$SKIP_FRONTEND"
# 必填检查项(根据PR类型决定)
# 通用检查(所有PR都必须过)
REQUIRED_GENERAL=(
"validate-code-quality:$RESULT_CODE_QUALITY"
"validate-type-check:$RESULT_TYPE_CHECK"
"validate-migration:$RESULT_MIGRATION"
"frontend-lint:$RESULT_FRONTEND_LINT"
"build-pr:$RESULT_BUILD_PR"
"ai-code-review:$AI_REVIEW_STATUS"
)
# 后端检查
REQUIRED_BACKEND=(
"unit-tests:$RESULT_UNIT_TESTS"
"integration-tests:$RESULT_INTEGRATION"
)
# 前端检查
REQUIRED_FRONTEND=(
"frontend-unit-test:$RESULT_FRONTEND_UNIT"
)
ALL_PASSED=true
FAILED_ITEMS=()
check_job() {
local name=$1
local result=$2
if [ "$result" = "success" ]; then
echo " ✅ $name: success"
elif [ "$result" = "skipped" ]; then
echo " ⏭️ $name: skipped(跳过,不影响)"
else
echo " ❌ $name: $result"
ALL_PASSED=false
FAILED_ITEMS+=("$name=$result")
fi
}
echo ""
echo "=== 通用检查(所有PR必填)==="
for item in "${REQUIRED_GENERAL[@]}"; do
name="${item%%:*}"
result="${item##*:}"
# AI Code Review pending时不阻塞(可能还在跑),等它跑完自然会重跑Gate
if [ "$name" = "ai-code-review" ] && [ "$result" = "pending" ]; then
echo " ⏳ $name: pending(审查中,暂不阻塞)"
continue
fi
check_job "$name" "$result"
done
if [ "$SKIP_BACKEND" != "true" ]; then
echo ""
echo "=== 后端检查 ==="
for item in "${REQUIRED_BACKEND[@]}"; do
name="${item%%:*}"
result="${item##*:}"
check_job "$name" "$result"
done
else
echo ""
echo "=== 后端检查(纯前端PR,跳过)==="
fi
if [ "$SKIP_FRONTEND" != "true" ]; then
echo ""
echo "=== 前端检查 ==="
for item in "${REQUIRED_FRONTEND[@]}"; do
name="${item%%:*}"
result="${item##*:}"
check_job "$name" "$result"
done
else
echo ""
echo "=== 前端检查(纯后端PR,跳过)==="
fi
echo ""
if [ "$ALL_PASSED" = "true" ]; then
echo "✅ CI Gate: PASSED"
echo "gate_result=success" >> $GITHUB_OUTPUT
exit 0
else
echo "❌ CI Gate: FAILED"
echo "失败项: ${FAILED_ITEMS[*]}"
echo "gate_result=failure" >> $GITHUB_OUTPUT
exit 1
fi
- name: Report CI trace
if: always()
shell: sh
env:
AGENTLOOP_LICENSE_KEY: ${{ secrets.AGENTLOOP_LICENSE_KEY }}
run: |
STATUS="ok"
[ "${{ steps.gate.outputs.gate_result }}" = "success" ] || STATUS="error"
START_TIME=""
[ -f /tmp/ci_job_start_time ] && START_TIME=$(cat /tmp/ci_job_start_time)
python3 scripts/ci/ci_trace_report.py --service xiaoxia-saas-ci --status $STATUS --start-time "$START_TIME" || true
+6 -6
View File
@@ -16,15 +16,15 @@ permissions:
jobs:
monitor:
name: Monitor CI Trigger Reliability
runs-on: ci-l2
runs-on: ubuntu-latest
timeout-minutes: 5
steps:
- name: Checkout code
shell: sh
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sH "Authorization: token $GITHUB_TOKEN" "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" | bash
uses: actions/checkout@v3
# 网络波动自动重试2次
retry:
max_attempts: 2
retry_on: error
- name: Check CI trigger status for all open PRs
env:
+10 -10
View File
@@ -15,18 +15,20 @@ concurrency:
jobs:
code-review:
name: AI Code Review
runs-on: ci-l2
runs-on: ubuntu-latest
# 跳过草稿 PR
if: ${{ !gitea.event.pull_request.draft }}
steps:
# actions/checkout 由 runner 在宿主机层面处理,不受容器网络影响
- name: Checkout code
shell: sh
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sH "Authorization: token $GITHUB_TOKEN" "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" | bash
uses: actions/checkout@v3
with:
fetch-depth: 0
# 网络波动自动重试2次
retry:
max_attempts: 2
retry_on: error
- name: Install dependencies
run: |
@@ -48,7 +50,6 @@ jobs:
GITEA_TOKEN: ${{ secrets.REVIEW_GITEA_TOKEN }}
REPO_NAME: ${{ gitea.repository }}
PR_NUMBER: ${{ gitea.event.pull_request.number }}
PR_HEAD_SHA: ${{ gitea.event.pull_request.head.sha }}
# LLM 提供商: coze (扣子原生Bot) / openai (OpenAI兼容)
LLM_PROVIDER: "coze"
# 扣子模式配置(默认国内站 api.coze.cn
@@ -61,9 +62,8 @@ jobs:
LLM_TIMEOUT: "120"
run: |
python3 scripts/ci_code_review.py
# 注意:脚本退出码决定job状态
# - 有阻塞级问题 → exit 1 → job失败 → 门禁拦截
# - 无阻塞级问题/LLM异常 → exit 0 → 通过(fail-open
# 审查脚本异常不影响 CI 通过
continue-on-error: true
- name: Report CI trace
if: always()
+136 -34
View File
@@ -1,5 +1,4 @@
name: Daily Health Check
# 注意:使用 curl step_checkout.sh 方式以兼容 docker runner
on:
schedule:
@@ -13,7 +12,7 @@ jobs:
# ── 1. 生产环境冒烟测试 ─────────────────────────────────────────────
production-smoke:
name: Production Smoke Test
runs-on: ci-l2
runs-on: saas
timeout-minutes: 8
outputs:
report: ${{ steps.smoke.outputs.report }}
@@ -24,9 +23,47 @@ jobs:
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sH "Authorization: token $GITHUB_TOKEN" \
"${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" \
| bash
set -eu
python3 - <<'PY'
import io, os, tarfile, time, urllib.request, urllib.error
url = f"{os.environ['GITHUB_API_URL']}/repos/{os.environ['GITHUB_REPOSITORY']}/archive/{os.environ['GITHUB_SHA']}.tar.gz"
request = urllib.request.Request(url, headers={"Authorization": f"token {os.environ['GITHUB_TOKEN']}"})
last_err = None
for attempt in range(5):
try:
with urllib.request.urlopen(request, timeout=120) as response:
archive = response.read()
break
except urllib.error.HTTPError as e:
last_err = e
if e.code >= 500 and attempt < 4:
wait = 2 ** attempt
print(f"Checkout HTTP {e.code}, retrying in {wait}s (attempt {attempt+1}/5)...")
time.sleep(wait)
continue
raise
except Exception as e:
last_err = e
if attempt < 4:
wait = 2 ** attempt
print(f"Checkout error: {e}, retrying in {wait}s (attempt {attempt+1}/5)...")
time.sleep(wait)
continue
raise
else:
raise last_err
with tarfile.open(fileobj=io.BytesIO(archive), mode='r:gz') as tar:
root_prefix = tar.getmembers()[0].name.split('/', 1)[0] + '/'
for member in tar.getmembers():
name = member.name
if name == root_prefix[:-1]:
continue
if name.startswith(root_prefix):
member.name = name[len(root_prefix):]
if member.name:
tar.extract(member, '.')
PY
- name: Production health check & smoke test
id: smoke
shell: sh
@@ -84,10 +121,10 @@ jobs:
# ── 2. Staging API 集成测试 ─────────────────────────────────────────
staging-api-tests:
name: Staging API Integration Tests
runs-on: ci-l2
runs-on: saas
timeout-minutes: 10
outputs:
report: ${{ steps.report.outputs.report }}
report: ${{ steps.smoke.outputs.report }}
steps:
- name: Checkout code
@@ -95,15 +132,50 @@ jobs:
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sH "Authorization: token $GITHUB_TOKEN" \
"${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" \
| bash
set -eu
python3 - <<'PY'
import io, os, tarfile, time, urllib.request, urllib.error
url = f"{os.environ['GITHUB_API_URL']}/repos/{os.environ['GITHUB_REPOSITORY']}/archive/{os.environ['GITHUB_SHA']}.tar.gz"
request = urllib.request.Request(url, headers={"Authorization": f"token {os.environ['GITHUB_TOKEN']}"})
last_err = None
for attempt in range(5):
try:
with urllib.request.urlopen(request, timeout=120) as response:
archive = response.read()
break
except urllib.error.HTTPError as e:
last_err = e
if e.code >= 500 and attempt < 4:
wait = 2 ** attempt
print(f"Checkout HTTP {e.code}, retrying in {wait}s (attempt {attempt+1}/5)...")
time.sleep(wait)
continue
raise
except Exception as e:
last_err = e
if attempt < 4:
wait = 2 ** attempt
print(f"Checkout error: {e}, retrying in {wait}s (attempt {attempt+1}/5)...")
time.sleep(wait)
continue
raise
else:
raise last_err
with tarfile.open(fileobj=io.BytesIO(archive), mode='r:gz') as tar:
root_prefix = tar.getmembers()[0].name.split('/', 1)[0] + '/'
for member in tar.getmembers():
name = member.name
if name == root_prefix[:-1]:
continue
if name.startswith(root_prefix):
member.name = name[len(root_prefix):]
if member.name:
tar.extract(member, '.')
PY
- name: Run API smoke test on staging
id: smoke
shell: sh
env:
STAGING_TEST_USER: ${{ secrets.STAGING_TEST_USER }}
STAGING_TEST_PASSWORD: ${{ secrets.STAGING_TEST_PASSWORD }}
run: |
set +e
START_TIME=$(date +%s)
@@ -111,8 +183,8 @@ jobs:
docker run --rm \
-e BASE_URL=https://staging-api.xiaoxiajianji.com \
-e WEB_URL=https://staging.xiaoxiajianji.com \
-e TEST_USER="$STAGING_TEST_USER" \
-e TEST_PASSWORD="$STAGING_TEST_PASSWORD" \
-e TEST_USER=18314979086@163.com \
-e TEST_PASSWORD=Ying1234 \
-e CLEANUP_ENABLED=1 \
-e PERF_CHECK_ENABLED=1 \
-e PERF_WARN_THRESHOLD_MS=500 \
@@ -198,10 +270,10 @@ jobs:
# ── 3. Staging 浏览器 E2E ──────────────────────────────────────────
staging-e2e:
name: Staging Browser E2E
runs-on: ci-l2
runs-on: saas
timeout-minutes: 15
outputs:
report: ${{ steps.e2e.outputs.report }}
report: ${{ steps.smoke.outputs.report }}
steps:
- name: Checkout code
@@ -209,9 +281,47 @@ jobs:
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sH "Authorization: token $GITHUB_TOKEN" \
"${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" \
| bash
set -eu
python3 - <<'PY'
import io, os, tarfile, time, urllib.request, urllib.error
url = f"{os.environ['GITHUB_API_URL']}/repos/{os.environ['GITHUB_REPOSITORY']}/archive/{os.environ['GITHUB_SHA']}.tar.gz"
request = urllib.request.Request(url, headers={"Authorization": f"token {os.environ['GITHUB_TOKEN']}"})
last_err = None
for attempt in range(5):
try:
with urllib.request.urlopen(request, timeout=120) as response:
archive = response.read()
break
except urllib.error.HTTPError as e:
last_err = e
if e.code >= 500 and attempt < 4:
wait = 2 ** attempt
print(f"Checkout HTTP {e.code}, retrying in {wait}s (attempt {attempt+1}/5)...")
time.sleep(wait)
continue
raise
except Exception as e:
last_err = e
if attempt < 4:
wait = 2 ** attempt
print(f"Checkout error: {e}, retrying in {wait}s (attempt {attempt+1}/5)...")
time.sleep(wait)
continue
raise
else:
raise last_err
with tarfile.open(fileobj=io.BytesIO(archive), mode='r:gz') as tar:
root_prefix = tar.getmembers()[0].name.split('/', 1)[0] + '/'
for member in tar.getmembers():
name = member.name
if name == root_prefix[:-1]:
continue
if name.startswith(root_prefix):
member.name = name[len(root_prefix):]
if member.name:
tar.extract(member, '.')
PY
- name: Run Playwright E2E on staging
id: e2e
shell: sh
@@ -261,7 +371,7 @@ jobs:
# ── 4. 性能基线巡检 ────────────────────────────────────────────────
performance-check:
name: Performance Baseline Check
runs-on: ci-l2
runs-on: saas
timeout-minutes: 8
outputs:
report: ${{ steps.report.outputs.report }}
@@ -270,9 +380,6 @@ jobs:
- name: Run performance baseline checks
id: perf
shell: sh
env:
STAGING_TEST_USER: ${{ secrets.STAGING_TEST_USER }}
STAGING_TEST_PASSWORD: ${{ secrets.STAGING_TEST_PASSWORD }}
run: |
set +e
START_TIME=$(date +%s)
@@ -308,10 +415,9 @@ jobs:
# 先登录获取 token
echo "--- 准备: 获取测试 Token ---"
LOGIN_BODY="{\"email\":\"$STAGING_TEST_USER\",\"password\":\"$STAGING_TEST_PASSWORD\"}"
AUTH_RESP=$(curl -s -w "\n%{http_code}" -X POST \
-H "Content-Type: application/json" \
-d "$LOGIN_BODY" \
-d '{"email":"18314979086@163.com","password":"Ying1234"}' \
"https://staging-api.xiaoxiajianji.com/api/v1/auth/login" \
--max-time 10 2>&1)
AUTH_CODE=$(echo "$AUTH_RESP" | tail -1)
@@ -341,7 +447,7 @@ jobs:
# 构建 curl 命令
CURL_ARGS="-s -o /dev/null -w '%{http_code} %{time_total}' --max-time 30"
if [ "$method" = "POST" ]; then
CURL_ARGS="$CURL_ARGS -X POST -H 'Content-Type: application/json' -d \"$LOGIN_BODY\""
CURL_ARGS="$CURL_ARGS -X POST -H 'Content-Type: application/json' -d '{\"email\":\"18314979086@163.com\",\"password\":\"Ying1234\"}'"
fi
if [ -n "$TOKEN" ] && [ "$name" != "健康检查" ]; then
CURL_ARGS="$CURL_ARGS -H 'Authorization: Bearer $TOKEN'"
@@ -389,9 +495,6 @@ jobs:
- name: Generate performance report
id: report
shell: sh
env:
STAGING_TEST_USER: ${{ secrets.STAGING_TEST_USER }}
STAGING_TEST_PASSWORD: ${{ secrets.STAGING_TEST_PASSWORD }}
run: |
set +e
echo ""
@@ -406,11 +509,10 @@ jobs:
RESULTS=""
START_TIME=$(date +%s)
LOGIN_BODY="{\"email\":\"$STAGING_TEST_USER\",\"password\":\"$STAGING_TEST_PASSWORD\"}"
# 先登录获取 token
AUTH_RESP=$(curl -s -w "\n%{http_code}" -X POST \
-H "Content-Type: application/json" \
-d "$LOGIN_BODY" \
-d '{"email":"18314979086@163.com","password":"Ying1234"}' \
"https://staging-api.xiaoxiajianji.com/api/v1/auth/login" \
--max-time 10 2>&1)
AUTH_CODE=$(echo "$AUTH_RESP" | tail -1)
@@ -426,7 +528,7 @@ jobs:
local CURL_ARGS="-s -o /dev/null -w '%{http_code} %{time_total}' --max-time 30"
if [ "$method" = "POST" ]; then
CURL_ARGS="$CURL_ARGS -X POST -H 'Content-Type: application/json' -d \"$LOGIN_BODY\""
CURL_ARGS="$CURL_ARGS -X POST -H 'Content-Type: application/json' -d '{\"email\":\"18314979086@163.com\",\"password\":\"Ying1234\"}'"
fi
if [ -n "$TOKEN" ] && [ "$name" != "健康检查" ]; then
CURL_ARGS="$CURL_ARGS -H 'Authorization: Bearer $TOKEN'"
@@ -529,7 +631,7 @@ jobs:
# ── 5. 每日巡检汇总报告 ────────────────────────────────────────────
daily-report:
name: Daily Check Report
runs-on: ci-l2
runs-on: saas
timeout-minutes: 2
if: always()
needs:
+1 -6
View File
@@ -8,11 +8,6 @@ on:
permissions:
contents: read
concurrency:
group: pr-automation-${{ gitea.event.pull_request.number }}
cancel-in-progress: true
jobs:
auto-approve:
name: Auto Approve on CI Green
@@ -61,7 +56,7 @@ jobs:
name: Auto Merge on CI Green + Approved
runs-on: ci-check
if: github.event_name == 'pull_request' && !github.event.pull_request.draft && github.event.pull_request.base.ref == 'develop'
timeout-minutes: 3 # 短作业模式:检查一次,不满足就退出,由pr-auto-scan每5分钟定时兜底
timeout-minutes: 45 # 长等待模式:等CI全绿后自动合并,不遗漏任何PR
steps:
- name: Checkout code
shell: sh
+1 -1
View File
@@ -120,7 +120,7 @@ jobs:
PREVIEW_SSH_KEY: ${{ secrets.PREVIEW_SSH_KEY }}
run: |
set -eux
preview_host="${PREVIEW_SSH_HOST:-47.98.113.167}"
preview_host="${PREVIEW_SSH_HOST:-172.30.18.197}"
preview_user="${PREVIEW_SSH_USER:-deploy}"
preview_port="${PREVIEW_SSH_PORT:-22222}"
preview_dir="/var/www/preview/pr-${PR_NUMBER}"
+37 -21
View File
@@ -93,28 +93,44 @@ jobs:
shell: sh
run: |
set -eu
cd apps/web
NPM_CACHE_VOLUME="xiaoxia-npm-cache"
if ! docker volume inspect "$NPM_CACHE_VOLUME" >/dev/null 2>&1; then
docker volume create "$NPM_CACHE_VOLUME" >/dev/null
echo "Created npm cache volume: $NPM_CACHE_VOLUME"
fi
# Install dependencies with retry
for i in 1 2 3; do
npm ci --registry=https://registry.npmmirror.com --no-audit --no-fund && break
echo "npm install failed, retry $i/3..."
[ $i -eq 3 ] && exit 1
rm -rf node_modules
sleep 5
done
# TypeScript check
echo "=== TypeScript check ==="
./node_modules/.bin/tsc --noEmit
# Vite build
echo "=== Vite build ==="
export VITE_API_URL=https://staging-api.xiaoxiajianji.com
./node_modules/.bin/vite build
echo "=== Build completed ==="
ls -la dist/
docker run --rm \
-v "$PWD:/workspace" \
-v "$NPM_CACHE_VOLUME:/workspace/apps/web/node_modules" \
-w /workspace/apps/web \
-e VITE_API_URL=https://staging-api.xiaoxiajianji.com \
docker.m.daocloud.io/library/node:20 \
sh -lc '
PACKAGE_LOCK_HASH=$(md5sum package-lock.json 2>/dev/null | cut -d" " -f1)
CACHE_HASH_FILE="node_modules/.package-lock-hash"
CACHE_VALID=false
if [ -f "$CACHE_HASH_FILE" ] && [ "$(cat "$CACHE_HASH_FILE")" = "$PACKAGE_LOCK_HASH" ] && [ -x "node_modules/.bin/vite" ] && [ -x "node_modules/.bin/tsc" ]; then
CACHE_VALID=true
echo "Cache hit: dependencies valid, skipping npm ci"
fi
if [ "$CACHE_VALID" = "false" ]; then
echo "Cache miss or invalid: running npm ci..."
if ! npm ci; then
echo "npm ci failed, cleaning node_modules and retrying..."
rm -rf node_modules
mkdir -p node_modules
npm ci
fi
echo "$PACKAGE_LOCK_HASH" > "$CACHE_HASH_FILE"
echo "Dependencies installed, cache updated"
fi
echo "Running TypeScript check..."
npx --no-install tsc
echo "Running Vite build..."
npx --no-install vite build
echo "Build completed successfully"
ls -la dist/
'
- name: Install SSH client and rsync
shell: sh
+55 -38
View File
@@ -7,25 +7,35 @@ on:
- main
paths:
- 'requirements-base.txt'
- 'requirements.txt'
- 'requirements-worker.txt'
- 'infra/docker/worker-base.Dockerfile'
workflow_dispatch:
- 'infra/docker/worker-base-builder.Dockerfile'
- 'infra/docker/worker-base-runtime.Dockerfile'
workflow_dispatch: # 支持手动触发
jobs:
build-worker-base:
name: Build Worker Base Image
name: Build Worker Base Images
runs-on: runtime-builder
timeout-minutes: 45
timeout-minutes: 30
strategy:
fail-fast: false
matrix:
include:
- name: builder
dockerfile: infra/docker/worker-base-builder.Dockerfile
image_name: worker-base-builder
cache_name: worker-base-builder-cache
- name: runtime
dockerfile: infra/docker/worker-base-runtime.Dockerfile
image_name: worker-base-runtime
cache_name: worker-base-runtime-cache
steps:
- name: Checkout code
shell: sh
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
curl -sH "Authorization: token $GITHUB_TOKEN" \
"${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" \
| bash
curl -sH "Authorization: token $GITHUB_TOKEN" "${GITHUB_API_URL}/repos/${GITHUB_REPOSITORY}/raw/scripts/ci/step_checkout.sh?ref=${GITHUB_SHA}" | bash
- name: Docker login to Registry
shell: sh
@@ -38,8 +48,7 @@ jobs:
set -eu
for i in 1 2 3; do
echo "=== Docker login 尝试 $i/3 ==="
if printf '%s' "${ACR_PASSWORD}" | docker login xiaoxia-registry.cn-hangzhou.cr.aliyuncs.com -u "${ACR_USERNAME}" --password-stdin \
&& docker login git.xiaoxiajianji.com -u "${GITEA_REGISTRY_USER}" -p "${GITEA_REGISTRY_TOKEN}"; then
if printf '%s' "${ACR_PASSWORD}" | docker login xiaoxia-registry.cn-hangzhou.cr.aliyuncs.com -u "${ACR_USERNAME}" --password-stdin && docker login git.xiaoxiajianji.com -u "${GITEA_REGISTRY_USER}" -p "${GITEA_REGISTRY_TOKEN}"; then
echo "✅ Docker login successful"
break
fi
@@ -47,40 +56,48 @@ jobs:
sleep 5
done
- name: Build and push Worker base image
- name: Setup buildx builder
shell: sh
run: |
set -eu
ACR_IMAGE="xiaoxia-registry.cn-hangzhou.cr.aliyuncs.com/xiaoxiakeji/saas-worker-base:latest"
GITEA_IMAGE="git.xiaoxiajianji.com/xiaoxia-saas/saas-worker-base:latest"
echo "=== Building Worker base image ==="
# 使用普通 docker build(单平台不需要 buildx
docker build \
-f infra/docker/worker-base.Dockerfile \
-t "${ACR_IMAGE}" \
.
BUILDER_NAME="ci-builder-${GITHUB_RUN_ID}-${{ matrix.name }}"
if ! docker buildx inspect "$BUILDER_NAME" > /dev/null 2>&1; then
docker buildx create --use --name "$BUILDER_NAME" --driver docker-container
echo "Created $BUILDER_NAME"
else
docker buildx use "$BUILDER_NAME"
echo "Using existing $BUILDER_NAME"
fi
docker buildx inspect --bootstrap
- name: Build and push base image
shell: sh
run: |
set -eu
REGISTRY="xiaoxia-registry.cn-hangzhou.cr.aliyuncs.com/xiaoxiakeji"
IMAGE_TAG="${REGISTRY}/${{ matrix.image_name }}:latest"
SAFE_REF_NAME=$(echo "${GITHUB_REF_NAME}" | tr '/' '-')
CACHE_REF="${REGISTRY}/${{ matrix.cache_name }}:${SAFE_REF_NAME}"
echo "=== Building ${{ matrix.name }} base image ==="
echo "Image: ${IMAGE_TAG}"
echo "Cache: ${CACHE_REF}"
# 用通用构建脚本
bash scripts/ci/docker_build_push.sh ${{ matrix.dockerfile }} "${IMAGE_TAG}" "${CACHE_REF}"
# 同时推送到 Gitea Packages 作为备份(可选)
GITEA_IMAGE="git.xiaoxiajianji.com/xiaoxia-saas/${{ matrix.image_name }}:latest"
docker tag "${IMAGE_TAG}" "${GITEA_IMAGE}"
docker push "${GITEA_IMAGE}" || echo "Gitea Packages push failed (non-fatal)"
echo ""
echo "✅ Image built successfully"
echo "✅ ${{ matrix.name }} base image built and pushed"
# 推送到 ACR
echo "=== Pushing to ACR ==="
docker push "${ACR_IMAGE}"
echo "✅ Pushed to ACR"
# 打标签并推送到 Gitea Packages 作为备份
echo "=== Pushing to Gitea Packages ==="
docker tag "${ACR_IMAGE}" "${GITEA_IMAGE}"
docker push "${GITEA_IMAGE}" || echo "⚠️ Gitea Packages push failed (non-fatal)"
echo "✅ Gitea backup push completed"
- name: Cleanup
- name: Cleanup buildx builder
if: always()
shell: sh
run: |
ACR_IMAGE="xiaoxia-registry.cn-hangzhou.cr.aliyuncs.com/xiaoxiakeji/saas-worker-base:latest"
docker rmi "${ACR_IMAGE}" 2>/dev/null || true
docker image prune -f 2>/dev/null || true
echo "Cleanup done"
docker buildx rm "ci-builder-${GITHUB_RUN_ID}-${{ matrix.name }}" 2>/dev/null || true
docker buildx prune -f 2>/dev/null || true
echo "Builder cleanup done"
-222
View File
@@ -1,222 +0,0 @@
---
AIGC:
Label: "1"
ContentProducer: 001191110102MACQD9K64018705
ProduceID: 15868733686388_0/project_7655981463858544923-files/docs/1197_preview_generation_proposal.md
ReservedCode1: ""
ContentPropagator: 001191110102MACQD9K64028705
PropagateID: 15868733686388#1785468313901
ReservedCode2: ""
---
# #1197 预览生成接口方案评估
## 背景
智能剪辑「一键生成」流程中,第3步预览生成当前被跳过,直接进入下一步。需要实现真正的预览生成功能,让用户在正式生成前能看到效果预览。
## 现状分析
### 现有生成链路
```
API 触发生成 → GenerationTask入库 → Celery异步任务 → UnifiedRenderService渲染 → OSS上传 → 更新状态
```
**关键节点:**
1. **API层**`POST /generation-tasks``POST /templates/{id}/generate` 触发生成
2. **任务调度**Celery task `worker.generate_video`
3. **渲染引擎**`UnifiedRenderService`(统一渲染引擎,已接入9个效果层)
4. **输出配置**:默认 720p (1280x720),支持 `resolution` 字段自定义
5. **产物存储**`GeneratedVideo` 表记录,OSS 存储视频文件
### 已有可复用能力
| 能力 | 位置 | 是否可复用 |
|------|------|-----------|
| 任务创建与状态管理 | `GenerationTask` + `CreateGenerationTaskUseCase` | ✅ 是 |
| 素材下载与预处理 | `_download_video_assets` / `_download_voice_asset` | ✅ 是 |
| 统一渲染引擎 | `UnifiedRenderService` | ✅ 是 |
| 分辨率配置 | `resolution` 字段已支持 | ✅ 是 |
| 混音与后处理 | `_render_video` 内流程 | ✅ 是 |
| OSS 上传与查重 | `_upload_and_dedup` | ✅ 是 |
| 进度追踪 | `append_log` / `progress` 字段 | ✅ 是 |
## 方案对比
### 方案A:复用现有生成链路 + is_preview 标记(推荐)
**思路**:在现有 GenerationTask 上加 `is_preview` 标记,预览生成走完整链路但参数降级。
**改动点:**
1. **数据模型**`GenerationTask``is_preview: bool` 字段(默认 false);`GeneratedVideo``is_preview: bool`
2. **API 层**:生成接口加 `is_preview` 参数,预览任务不计入配额
3. **渲染参数**:预览模式下自动调整
- 分辨率:480p (854x480)
- 时长:限制前 15 秒(或模板第一个片段)
- 码率:降低至 1.5Mbps(正式 4Mbps
- 效果层:跳过高级转场/粒子特效等耗时效果
4. **任务调度**:预览任务走低优先级队列(或复用现有队列,标记优先级)
5. **前端对接**:预览生成结果带 `is_preview=true` 标记,前端展示"预览"标签
**优点:**
- 代码复用率 90%+,改动最小
- 与正式生成逻辑一致,预览效果真实可信
- 进度查询、结果展示等功能直接复用
- 后续可平滑升级:预览满意后一键转正式生成
**缺点:**
- 需要区分预览和正式任务,避免数据混淆
- 预览任务和正式任务竞争同一队列资源(可后续优化为独立队列)
**开发量估算**2-3 天
- 数据模型 + 迁移:0.5 天
- API 层改造:0.5 天
- 渲染参数降级:1 天
- 测试 + 联调:1 天
---
### 方案B:新建独立预览接口 + 轻量渲染逻辑
**思路**:新建独立的预览生成接口,使用简化的渲染逻辑(如只拼接素材+基础配音,跳过大部分效果)。
**改动点:**
1. 新增 `PreviewTask` 数据模型
2. 新增 `POST /api/v1/preview/generate` 接口
3. 新增独立的 Celery task `worker.generate_preview`
4. 简化渲染流程:只做素材裁剪+拼接+配音,跳过转场/滤镜/字幕特效等
**优点:**
- 完全隔离,不影响正式生成链路
- 可以做极致优化,预览生成速度快
- 数据模型清晰,不会混淆
**缺点:**
- 代码重复率高,两套生成逻辑维护成本翻倍
- 预览效果与正式生成可能不一致(效果层差异)
- 前端需要对接两套接口
- 无法从预览升级为正式生成(需重新走完整流程)
**开发量估算**4-5 天
- 数据模型 + 接口:1 天
- 简化渲染逻辑:2 天
- 测试 + 联调:1-2 天
---
### 方案C:图片预览(首帧/关键帧截图)
**思路**:不生成视频,只生成几张关键帧的预览图片。
**优点:**
- 生成速度极快(秒级)
- 资源消耗小
**缺点:**
- 预览效果差,用户无法感知动态效果
- 无法验证配音、转场、节奏等时间维度的效果
- 用户体验不佳,不如"真预览"有说服力
**开发量估算**1-2 天
---
## 推荐方案:方案A(复用现有生成链路)
### 核心理由
1. **效果保真**:预览和正式生成用同一套渲染引擎,效果一致,用户信任度高
2. **开发效率**90% 代码复用,2-3 天可上线
3. **可扩展性强**:后续可加「预览转正式」「低分辨率快速预览」等增强功能
4. **维护成本低**:一套生成逻辑,bug 修复和新功能同时生效
### 详细设计
#### 1. 数据模型变更
```python
# GenerationTask 新增字段
is_preview: bool = False
"""是否为预览生成"""
preview_of: str = ""
"""预览对应的正式任务 ID(或反向关联)"""
# GeneratedVideo 新增字段
is_preview: bool = False
"""是否为预览视频"""
```
**迁移**alembic 新增 migration,两个表各加 1-2 个字段。
#### 2. API 层
```
POST /api/v1/generation-tasks
Body 增加 is_preview: bool = false
POST /api/v1/templates/{id}/generate
Query 增加 is_preview: bool = false
```
**配额处理**:预览生成不计入用户配额,不占用生成次数限制。
#### 3. 渲染参数降级
| 参数 | 正式生成 | 预览生成 |
|------|---------|---------|
| 分辨率 | 720p (1280x720) | 480p (854x480) |
| 码率 | 4 Mbps | 1.5 Mbps |
| 时长 | 完整时长 | 前 15 秒(或第一段) |
| 帧率 | 30 fps | 24 fps |
| 转场效果 | 完整转场 | 仅淡入淡出(或简单切) |
| 特效滤镜 | 全部启用 | 跳过粒子/光效等高级效果 |
| 字幕 | 完整渲染 | 正常渲染(字幕是核心信息) |
| 配音 | 完整混音 | 正常混音(配音是核心信息) |
**实现方式**:在 `_render_video` 或 UnifiedRenderService 入口处,根据 `is_preview` 标记调整渲染配置。
#### 4. 任务调度
- 初期复用现有队列,预览任务正常排队
- 后续如需优化,可拆分独立预览队列(低优先级)
- 预览任务可设置较短超时时间
#### 5. 前端对接
- 调用生成接口时传 `is_preview=true`
- 结果列表中预览视频带「预览」标签
- 预览满意后可一键「升级为正式生成」(重新触发全分辨率生成,可复用素材下载缓存)
### 实施步骤
**Phase 1MVP2天):**
1. 数据模型 + 迁移
2. API 层支持 is_preview 参数
3. 渲染分辨率降级(480p
4. 不计入配额
5. 基础测试
**Phase 2(优化,1-2天):**
1. 时长限制(前15秒)
2. 效果层降级(跳高级效果)
3. 预览任务低优先级队列
4. 预览转正式生成功能
## 与前端对齐点
1. 预览生成的触发时机(第3步自动生成?用户点击才生成?)
2. 预览时长是固定15秒还是完整但低清?
3. 是否需要「预览转正式生成」功能
4. 预览视频的展示形态(和正式视频一样还是有特殊UI)
## 风险与注意事项
1. **数据混淆**:确保统计、计费、列表展示时正确区分预览和正式任务
2. **存储成本**:预览视频也占 OSS 空间,可设置自动清理(7天后自动删除)
3. **用户预期**:要明确告诉用户这是预览,效果和正式生成一致但清晰度低
4. **并发压力**:如果用户频繁生成预览,可能增加系统负载,需要限流
---
> 本内容由 Coze AI 生成,请遵循相关法律法规及《人工智能生成合成内容标识办法》使用与传播。
-382
View File
@@ -1,382 +0,0 @@
# #1197 预览生成接口技术方案(v2)
> 更新说明:v2 新增「多版本预览生成」能力,支持一个模板生成多个不重复的预览视频,左侧列表展示,用户可挑选满意的版本转正式生成。
## 1. 背景与目标
**现状**:智能剪辑「一键生成」第3步预览生成被跳过,用户直接进入正式生成,缺少效果预览环节。
**目标**
1. ✅ 实现真正的预览生成(低分辨率快速出片)
2.**支持生成 1~N 个不重复的预览版本**(默认 3 个),左侧列表展示
3. ✅ 预览满意后可一键转正式生成(复用素材下载缓存)
4. ✅ 不计入用户配额,不占用正式生成次数
---
## 2. 现有生成链路分析
### 2.1 链路总览
```
API 触发生成 → GenerationTask入库 → Celery异步任务
→ 下载素材 → 构建plan/clips → UnifiedRenderService渲染
→ 混音后处理 → OSS上传 + 查重 → 更新状态
```
### 2.2 决定视频差异的变量
要做"多个不重复版本",先分析哪些环节可以引入变化:
| 变量 | 当前行为 | 能否引入变化 | 影响程度 |
|------|---------|------------|---------|
| 素材选择 | 按 asset_ids 顺序全用 | ✅ 可随机选择子集/不同组合 | 大 |
| 素材排序 | 按 asset_ids 顺序 | ✅ 可 shuffle 重排 | 大 |
| 配音选择 | 固定 voice_library_id | ✅ 可选不同音色 | 中 |
| 标题选择 | 固定 title_ids 或随机选 | ✅ 可选不同标题 | 中 |
| BGM | 固定 bgm_config | ✅ 可选不同BGM | 小 |
| 转场效果 | 模板固定 | ✅ 可随机化转场类型 | 小 |
| 播放速度 | 模板固定 | ✅ 可微调速度 | 小 |
| 分辨率/码率 | 固定 | ✅ 预览可降级 | 不影响内容 |
### 2.3 可复用能力
- 任务创建与状态管理:`GenerationTask` + `CreateGenerationTaskUseCase`
- 素材下载与预处理:`_download_all_assets`
- 统一渲染引擎:`UnifiedRenderService`
- 分辨率配置:`resolution` 字段已支持
- 批量任务:`batch_id` 字段已存在(可用于预览组)
---
## 3. 总体方案:复用现有链路 + 多变体引擎
**核心思路**:沿用 v1 的"复用现有生成链路 + is_preview 标记"方案,在此基础上增加「多版本生成」能力。
**架构**
```
预览生成请求(count=N
创建预览批次(preview_batch
变体引擎生成 N 个变体参数(variation seed + 参数组合)
为每个变体创建 1 个 GenerationTaskis_preview=true
N 个 Celery 任务并行执行(走现有生成链路,参数降级)
N 个结果汇聚,前端左侧列表展示
```
---
## 4. 详细设计
### 4.1 数据模型变更
#### 4.1.1 GenerationTask 新增字段
```python
# 现有字段保留,新增:
is_preview: bool = False
"""是否为预览生成"""
preview_batch_id: str = ""
"""预览批次 ID(同批次的 N 个预览共享一个 batch)"""
variant_seed: int = 0
"""变体种子,用于控制随机化行为(素材选择、排序、转场等)"""
variant_params: dict = field(default_factory=dict)
"""变体参数快照(记录本次使用了哪些素材、标题、配音等,可追溯)
{
"asset_ids": [...], # 实际选用的素材子集
"title_id": "", # 选用的标题
"voice_id": "", # 选用的配音
"transition_style": "", # 转场风格
"bgm_track": "", # BGM 音轨
}
"""
```
#### 4.1.2 GeneratedVideo 新增字段
```python
is_preview: bool = False
"""是否为预览视频"""
preview_batch_id: str = ""
"""所属预览批次"""
variant_index: int = 0
"""在批次中的序号(0, 1, 2..."""
```
#### 4.1.3 迁移方案
alembic 新增 migration,两个表各加 4 个字段,默认值为空/false,无数据回填成本。
---
### 4.2 变体引擎(Variant Engine
**核心组件**:根据 count 和 seed,生成 N 组互不相同的生成参数。
#### 4.2.1 变纬度设计
| 维度 | 策略 | 说明 |
|------|------|------|
| **素材子集选择** | 从素材池中随机选 M 个(M=min(素材数, 模板clip数*2)) | 版本差异最大的来源 |
| **素材排序** | 随机打乱顺序 | 影响叙事节奏 |
| **标题选择** | 从 title_ids 中随机选 1 个 | 影响文案内容 |
| **配音选择** | 从 voice_ids 中随机选 1 个(如有多个) | 影响听觉体验 |
| **转场风格** | 从预设转场池中随机选 1 种 | 影响视觉过渡 |
| **BGM 选择** | 从 bgm 列表中随机选 1 首(如有配置) | 影响氛围 |
#### 4.2.2 去重机制
- 同一批次内,变体参数必须两两不同(至少素材组合或排序不同)
- 使用 `variant_seed` 保证可复现(相同 seed → 相同变体)
- 如果素材数量不足导致无法生成 N 个不同版本,按实际能生成的数量返回
#### 4.2.3 接口设计
```python
def generate_variants(
count: int,
seed: int,
asset_pool: list[str], # 可用素材 ID 列表
title_pool: list[str] = [], # 可用标题 ID 列表
voice_pool: list[str] = [], # 可用配音 ID 列表
template_id: str = "",
) -> list[dict]:
"""
生成 count 组变体参数。
每组参数包含:asset_ids(选用的素材+排序)、title_id、voice_id、
transition_style 等,确保两两不同。
"""
```
---
### 4.3 API 层设计
#### 4.3.1 预览生成接口
```
POST /api/v1/templates/{template_id}/generate-preview
```
**请求体**
```json
{
"asset_library_id": "lib_xxx",
"asset_ids": ["asset_1", "asset_2", ...],
"title_ids": ["title_1", "title_2"],
"voice_ids": ["voice_1", "voice_2"],
"bgm_config": {},
"count": 3,
"seed": 0
}
```
| 参数 | 类型 | 必填 | 默认 | 说明 |
|------|------|------|------|------|
| template_id | path | ✅ | - | 模板 ID |
| asset_library_id | body | ✅ | - | 素材库 ID |
| asset_ids | body | ✅ | - | 素材池(从中选子集/排序) |
| title_ids | body | - | [] | 标题池(可选,不传则不用标题) |
| voice_ids | body | - | [] | 配音池(可选) |
| bgm_config | body | - | {} | BGM 配置 |
| count | body | - | 3 | 生成几个预览版本(1~10) |
| seed | body | - | 0 | 随机种子,0 表示随机 |
**响应**
```json
{
"preview_batch_id": "pb_xxx",
"count": 3,
"tasks": [
{
"task_id": "gen_xxx_0",
"variant_index": 0,
"status": "processing"
},
{
"task_id": "gen_xxx_1",
"variant_index": 1,
"status": "processing"
},
...
]
}
```
#### 4.3.2 预览批次查询接口
```
GET /api/v1/preview-batches/{batch_id}
```
返回批次内所有预览任务的状态、结果(已完成的带 video_url)。
**响应**
```json
{
"preview_batch_id": "pb_xxx",
"count": 3,
"completed_count": 2,
"tasks": [
{
"task_id": "gen_xxx_0",
"variant_index": 0,
"status": "completed",
"video_url": "https://oss.xxx/preview/xxx.mp4",
"duration": 15.5,
"thumbnail_url": "https://oss.xxx/preview/xxx.jpg"
},
...
]
}
```
#### 4.3.3 预览转正式生成
```
POST /api/v1/preview-batches/{batch_id}/tasks/{task_id}/promote
```
将某个预览版本升级为正式生成(复用素材缓存,重新全分辨率渲染)。
---
### 4.4 渲染参数降级
预览模式下自动调整以下参数:
| 参数 | 正式生成 | 预览生成 |
|------|---------|---------|
| 分辨率 | 720p (1280x720) | 480p (854x480) |
| 码率 | 4 Mbps | 1.5 Mbps |
| 帧率 | 30 fps | 24 fps |
| 时长 | 完整时长 | 前 15 秒(或第一段完整clip) |
| 转场效果 | 完整转场 | 仅淡入淡出 |
| 高级特效 | 全部启用 | 跳过粒子/光效等 |
| 字幕 | 完整渲染 | 正常渲染 |
| 配音 | 完整混音 | 正常混音 |
| 输出质量 | high | medium |
**实现位置**`_render_video` 函数入口处,根据 `is_preview` 标记调整渲染配置。
---
### 4.5 任务调度
- **并行执行**:N 个预览任务并行提交到 Celery,不排队等待
- **低优先级**:预览任务走独立队列(`preview_queue`),不抢占正式生成资源
- **超时控制**:预览任务超时时间 5 分钟(正式 30 分钟)
- **自动清理**:预览视频 7 天后自动从 OSS 删除,任务记录标记为 archived
---
## 5. 前端对接要点
### 5.1 交互流程
```
第2步选素材 → 第3步点击"生成预览"
→ 显示 loading + 进度
→ 预览陆续完成,左侧列表逐张出现
→ 用户点击左侧不同版本,右侧预览区切换
→ 用户选中满意版本 → 点击"正式生成"
```
### 5.2 需要对齐的接口
1. **预览创建**`POST /templates/{id}/generate-preview`
2. **批次状态轮询**`GET /preview-batches/{id}`(建议 2s 轮询,或走 SSE
3. **预览转正式**`POST /preview-batches/{id}/tasks/{task_id}/promote`
### 5.3 数据格式对齐
预览视频条目结构:
```json
{
"id": "gen_xxx",
"variant_index": 0,
"status": "completed",
"video_url": "https://...",
"duration": 15.5,
"file_size": 2850000,
"thumbnail_url": "https://...",
"is_preview": true
}
```
---
## 6. 配额与计费
- 预览生成**不计入**用户配额
- 同一模板 + 同一素材池,每天最多生成 3 次多版本预览(防滥用)
- 单个预览批次最多 10 个版本
---
## 7. 实施步骤
### Phase 1:单版本预览(MVP2 天)
1. 数据模型 + 迁移(is_preview 字段)
2. API 层支持 is_preview 参数
3. 渲染分辨率降级(480p
4. 不计入配额
5. 基础测试
### Phase 2:多版本预览(3 天)
1. 变体引擎实现(素材随机选择 + 排序 + 去重)
2. preview_batch 批次管理
3. 批量创建 N 个预览任务
4. 批次查询接口
5. 前端联调
### Phase 3:预览转正式 + 优化(2 天)
1. 预览转正式生成接口(promote)
2. 素材下载缓存复用
3. 独立预览队列(低优先级)
4. 自动清理机制
5. 完整测试 + 压测
---
## 8. 风险与注意事项
| 风险 | 影响 | 应对 |
|------|------|------|
| 并发预览任务过多打满 worker | 正式生成被阻塞 | 独立预览队列 + 限流 |
| 变体生成的视频差异不够大 | 用户觉得"都一样" | 优先素材子集+排序差异,保证视觉差异 |
| 预览视频占用 OSS 存储 | 存储成本上升 | 7 天自动清理 + 低码率 |
| N 个版本同时下载重复素材 | 带宽浪费 | 批次内共享一次下载(Phase 3 优化) |
| 用户预期管理 | 以为预览就是最终效果 | 明确标注"预览版",说明分辨率差异 |
---
## 9. 开发量估算
| 阶段 | 后端 | 前端 | 合计 |
|------|------|------|------|
| Phase 1 单版本预览 | 2 天 | 1 天 | 3 天 |
| Phase 2 多版本预览 | 3 天 | 2 天 | 5 天 |
| Phase 3 转正式+优化 | 2 天 | 1 天 | 3 天 |
| **总计** | **7 天** | **4 天** | **~7 天(并行)** |
---
## 10. 与 v1 方案的差异总结
1. **新增多版本能力**:从"生成1个预览"升级为"生成N个不重复预览"
2. **新增变体引擎**:负责素材选择/排序/配音/标题的随机化
3. **新增批次概念**preview_batch 管理一组预览任务
4. **新增 promote 接口**:预览转正式生成
5. **独立队列**:预览不抢占正式生成资源
6. **开发量**:从 2-3 天增加到约 7 天(后端)
@@ -1,61 +0,0 @@
"""#1197 - 预览生成:generation_tasks 表新增 is_preview 字段
Revision ID: 053
Revises: 052
Create Date: 2026-08-15
Changes:
1. generation_tasks 表新增 is_preview 字段,标记是否为预览生成任务(低清 480p)
2. 默认 False,与现有正式生成任务兼容
3. 加索引以支持按预览/正式任务筛选
"""
import sqlalchemy as sa
from alembic import context, op
revision = "053_generation_task_is_preview"
down_revision = "052_generation_task_bgm_config"
branch_labels = None
depends_on = None
def upgrade() -> None:
conn = op.get_bind()
if context.get_context().dialect.name == "postgresql":
# 检查列是否已存在(幂等)
result = conn.execute(
sa.text(
"SELECT column_name FROM information_schema.columns "
"WHERE table_name = 'generation_tasks' AND column_name = 'is_preview'"
)
)
if result.scalar() is not None:
return
op.add_column(
"generation_tasks",
sa.Column("is_preview", sa.Boolean, nullable=False, server_default=sa.text("false")),
)
# 加索引
op.create_index(
"ix_generation_tasks_is_preview",
"generation_tasks",
["is_preview"],
)
def downgrade() -> None:
conn = op.get_bind()
if context.get_context().dialect.name == "postgresql":
result = conn.execute(
sa.text(
"SELECT column_name FROM information_schema.columns "
"WHERE table_name = 'generation_tasks' AND column_name = 'is_preview'"
)
)
if result.scalar() is None:
return
op.drop_index("ix_generation_tasks_is_preview", table_name="generation_tasks")
op.drop_column("generation_tasks", "is_preview")
@@ -1,82 +0,0 @@
"""确认生成 API 改造:为 generation_tasks 表添加 source_task_id、output_width、output_height、cover_url、custom_title 字段
Revision ID: 054_confirm_gen_fields
Revises: 053_generation_task_is_preview
Create Date: 2026-08-16
Changes:
1. generation_tasks 表新增 source_task_id(来源预览任务 ID,带索引)
2. generation_tasks 表新增 output_width / output_height(动态输出分辨率)
3. generation_tasks 表新增 cover_url / custom_title(自定义封面和标题)
"""
import sqlalchemy as sa
from alembic import op
revision = "054_confirm_gen_fields"
down_revision = "053_generation_task_is_preview"
branch_labels = None
depends_on = None
def upgrade() -> None:
conn = op.get_bind()
is_pg = conn.dialect.name == "postgresql"
if is_pg:
# 幂等检查:source_task_id 列是否已存在
result = conn.execute(
sa.text(
"SELECT column_name FROM information_schema.columns "
"WHERE table_name = 'generation_tasks' AND column_name = 'source_task_id'"
)
)
if result.scalar() is not None:
return
# source_task_id
op.add_column(
"generation_tasks",
sa.Column("source_task_id", sa.String(32), nullable=False, server_default=""),
)
# output_width
op.add_column(
"generation_tasks",
sa.Column("output_width", sa.Integer, nullable=False, server_default=sa.text("1280")),
)
# output_height
op.add_column(
"generation_tasks",
sa.Column("output_height", sa.Integer, nullable=False, server_default=sa.text("720")),
)
# cover_url
op.add_column(
"generation_tasks",
sa.Column("cover_url", sa.String(1000), nullable=False, server_default=""),
)
# custom_title
op.add_column(
"generation_tasks",
sa.Column("custom_title", sa.String(500), nullable=False, server_default=""),
)
# 索引
op.create_index(
"ix_generation_tasks_source_task_id",
"generation_tasks",
["source_task_id"],
)
def downgrade() -> None:
op.drop_index("ix_generation_tasks_source_task_id", table_name="generation_tasks")
op.drop_column("generation_tasks", "custom_title")
op.drop_column("generation_tasks", "cover_url")
op.drop_column("generation_tasks", "output_height")
op.drop_column("generation_tasks", "output_width")
op.drop_column("generation_tasks", "source_task_id")
-82
View File
@@ -1,82 +0,0 @@
"""封面模板表 cover_templates
Revision ID: 055_cover_templates
Revises: 054_confirm_gen_fields
Create Date: 2026-08-09
Changes:
1. 新建 cover_templates 表,支持系统预置和用户自定义封面模板
2. user_id 为 NULL 表示系统模板,is_system 标记区分
3. config 为 JSON 字段,存储封面配置信息
"""
import sqlalchemy as sa
from alembic import context, op
revision = "055_cover_templates"
down_revision = "054_confirm_gen_fields"
branch_labels = None
depends_on = None
SYSTEM_TEMPLATES = [
("a8b0120fd98e44788f5a6590f983d327", "默认模板", {}),
("6d8c501b11424432b3df3a45ae89b1a9", "大胆红", {"background_color": "#ef4444"}),
("04937fb57fea4bad95e7883e71a6b246", "优雅黑", {"background_color": "#111827"}),
("3ff9cc821174437ca53931073e7f536e", "渐变蓝", {"background_color": "#3b82f6"}),
("db51b3ea8f1a4f4caa94bf2d51f27d11", "渐变紫", {"background_color": "#8b5cf6"}),
("5027d113432a4f798a3b4ee1644d66af", "暖橙", {"background_color": "#f97316"}),
("0e10def2b5a148d686416494474726c2", "清新绿", {"background_color": "#22c55e"}),
("38ea98ac00c04bada064006d880546f0", "科技蓝", {"background_color": "#06b6d4"}),
]
def upgrade() -> None:
conn = op.get_bind()
if context.get_context().dialect.name == "postgresql":
result = conn.execute(sa.text("SELECT to_regclass('public.cover_templates')"))
if result.scalar() is not None:
return
op.create_table(
"cover_templates",
sa.Column("id", sa.String(36), primary_key=True),
sa.Column("user_id", sa.String(36), nullable=True, index=True),
sa.Column("name", sa.String(200), nullable=False),
sa.Column("thumbnail_url", sa.String(1000), nullable=False, server_default=""),
sa.Column("is_system", sa.Boolean, nullable=False, server_default=sa.false(), index=True),
sa.Column("config", sa.JSON, nullable=False, server_default="{}"),
sa.Column("created_at", sa.DateTime(timezone=True), nullable=False, server_default=sa.func.now()),
sa.Column("updated_at", sa.DateTime(timezone=True), nullable=False, server_default=sa.func.now()),
)
# 预置系统模板 seed 数据
cover_templates = sa.table(
"cover_templates",
sa.column("id", sa.String),
sa.column("user_id", sa.String),
sa.column("name", sa.String),
sa.column("thumbnail_url", sa.String),
sa.column("is_system", sa.Boolean),
sa.column("config", sa.JSON),
sa.column("created_at", sa.DateTime),
sa.column("updated_at", sa.DateTime),
)
for tid, name, config in SYSTEM_TEMPLATES:
conn.execute(
cover_templates.insert().values(
id=tid,
user_id=None,
name=name,
thumbnail_url="",
is_system=True,
config=config,
created_at=sa.func.now(),
updated_at=sa.func.now(),
)
)
def downgrade() -> None:
op.drop_table("cover_templates")
@@ -1,39 +0,0 @@
"""修复 cover_templates.config 双重序列化
Revision ID: 056_fix_cover_templates_config
Revises: 055_cover_templates
Create Date: 2026-08-13
问题: 055 迁移 seed 数据时 json.dumps(config) 导致 config 被双重序列化为 JSON 字符串
例如 "{}"(字符串)而不是 {}(对象),导致 Pydantic CoverTemplateResponse 校验失败 500。
修复: 从 JSON 字符串中提取文本值,再 cast 回 json 对象类型。
"""
import sqlalchemy as sa
from alembic import op
revision = "056_fix_cover_templates_config"
down_revision = "055_cover_templates"
branch_labels = None
depends_on = None
def upgrade() -> None:
conn = op.get_bind()
# PostgreSQL: 从 JSON string scalar 中提取文本内容,cast 为 json object
# 例如: JSON string "{}" -> text "{}" -> JSON object {}
if conn.dialect.name == "postgresql":
conn.execute(
sa.text(
"UPDATE cover_templates SET config = (config#>>'{}')::json "
"WHERE jsonb_typeof(config::jsonb) = 'string'"
)
)
def downgrade() -> None:
# No safe rollback — the original data was incorrect
pass
-17
View File
@@ -5,11 +5,8 @@ from app.api.routes.assets import router as assets_router
from app.api.routes.auth import router as auth_router
from app.api.routes.chunked_upload import router as chunked_upload_router
from app.api.routes.classification_jobs import router as classification_jobs_router
from app.api.routes.cover_templates import router as cover_templates_router
from app.api.routes.duplication import router as duplication_router
from app.api.routes.feature_flags import router as feature_flags_router
from app.api.routes.generation_cover import router as generation_cover_router
from app.api.routes.generation_preview import router as generation_preview_router
from app.api.routes.generation_tasks import router as generation_tasks_router
from app.api.routes.health import router as health_check_router
from app.api.routes.ingest_jobs import router as ingest_jobs_router
@@ -47,10 +44,6 @@ api_router.include_router(
prefix="/tags",
tags=["Tag"],
)
api_router.include_router(
cover_templates_router,
tags=["CoverTemplate"],
)
api_router.include_router(
task_center_router,
tags=["TaskCenter"],
@@ -94,16 +87,6 @@ api_router.include_router(
prefix="/generation",
tags=["Generation"],
)
api_router.include_router(
generation_preview_router,
prefix="/generation",
tags=["Generation"],
)
api_router.include_router(
generation_cover_router,
prefix="/generation",
tags=["Generation"],
)
api_router.include_router(
titles_router,
prefix="/titles",
+46 -71
View File
@@ -1,5 +1,5 @@
import logging
from typing import Any, List, Optional
from typing import Any, Optional
from app.api.routes._helpers import check_project_access, format_utc_datetime
from app.auth import AuthenticatedUser, get_current_user
@@ -14,21 +14,22 @@ from app.schemas.asset import (
AssetResponse,
BatchClassifyRequest,
BatchDeleteRequest,
BatchGetRequest,
BatchMarkRequest,
BatchOperationResponse,
BatchTagRequest,
CreateAssetRequest,
ListAssetsResponse,
SmartMatchItem,
SmartMatchRequest,
SmartMatchResponse,
UpdateAssetRequest,
UpdateAssetReviewRequest,
)
from app.schemas.tag import TagAssetsRequest
from fastapi import APIRouter, Depends, HTTPException, Query, Response
from packages.domain.smart_match import smart_select_assets
from packages.application import (
CreateAssetCommand,
CreateAssetUseCase,
)
from packages.domain import AssetStatus, ClassificationStatus
logger = logging.getLogger(__name__)
@@ -365,18 +366,6 @@ def update_asset_review_status(
return _to_asset_response(updated)
@router.post("/batch", response_model=List[AssetResponse])
def batch_get_assets(
request: BatchGetRequest,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
asset_repository: Any = Depends(get_asset_repository),
) -> list[AssetResponse]:
"""批量获取素材详情(根据 ID 列表)。"""
items = asset_repository.find_by_ids(request.ids)
storage_service = get_storage_service()
return [_to_asset_response(item, storage_service) for item in items]
@router.post("/batch-delete", response_model=BatchOperationResponse)
def batch_delete_assets(
request: BatchDeleteRequest,
@@ -530,51 +519,6 @@ def batch_mark_assets(
)
@router.post("/smart-match", response_model=SmartMatchResponse)
def smart_match_assets(
request: SmartMatchRequest,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
asset_repository: Any = Depends(get_asset_repository),
asset_library_repository: Any = Depends(get_asset_library_repository),
project_repository: Any = Depends(get_project_repository),
) -> SmartMatchResponse:
"""智能选素材:根据素材库内容,按质量分+时长均衡+新鲜度+未使用偏好综合评分,返回 Top N 素材。"""
library = asset_library_repository.get(request.library_id)
if library is None:
raise HTTPException(status_code=404, detail=f"AssetLibrary {request.library_id} not found")
check_project_access(library.project_id, authenticated_user.user.id, project_repository)
# 获取素材库中所有 ready 素材(DB 层按 kind 过滤,避免加载不必要的数据到内存)
# kind → file_type 映射:schema 已校验只允许 video/image/audio,与 file_type 一致
if request.kind:
filtered_assets = asset_repository.find_by_library_and_file_type(
request.library_id, request.kind, status=["ready"], limit=10000
)
else:
filtered_assets = asset_repository.find_by_library(
request.library_id, status=["ready"], limit=10000
)
total_candidates = len(filtered_assets)
# 调用统一智能选素材算法(kind 已在 DB 层过滤,无需重复过滤)
results = smart_select_assets(
filtered_assets,
limit=request.limit,
kind=None,
)
items = [
SmartMatchItem(
asset=_to_asset_response(r.asset),
score=r.score,
breakdown=r.breakdown,
)
for r in results
]
return SmartMatchResponse(items=items, total_candidates=total_candidates)
@router.get("/{asset_id}", response_model=AssetResponse)
def get_asset(
asset_id: str,
@@ -671,12 +615,43 @@ def untag_asset(
@router.post("", response_model=AssetResponse)
def create_asset() -> None:
"""
已废弃接口。
所有素材上传统一走 uploadAssetDirect → completeDirectUpload → ingest-jobs 流程。
"""
raise HTTPException(
status_code=410,
detail="此接口已废弃。请使用 uploadAssetDirect 接口上传素材,Worker 会自动处理(视频转码、图片/音频元数据提取)并创建 Asset 记录。",
def create_asset(
request: CreateAssetRequest,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
asset_repository: Any = Depends(get_asset_repository),
asset_library_repository: Any = Depends(get_asset_library_repository),
project_repository: Any = Depends(get_project_repository),
) -> AssetResponse:
project = project_repository.find_by_id(request.project_id)
if project is None:
raise HTTPException(status_code=404, detail=f"Project {request.project_id} not found")
if not project.can_access(authenticated_user.user.id):
raise HTTPException(status_code=403, detail="Access denied to project")
library = asset_library_repository.get(request.library_id)
if library is None or library.project_id != request.project_id:
raise HTTPException(status_code=404, detail=f"AssetLibrary {request.library_id} not found")
use_case = CreateAssetUseCase(asset_repository)
item = use_case.execute(
CreateAssetCommand(
project_id=request.project_id,
library_id=request.library_id,
name=request.name,
storage_key=request.storage_key,
mime_type=request.mime_type,
metadata=request.metadata,
file_size=request.file_size,
thumbnail_url=request.thumbnail_url,
duration=request.duration,
width=request.width,
height=request.height,
fps=request.fps,
codec=request.codec,
status=AssetStatus(request.status),
classification_status=ClassificationStatus(request.classification_status),
quality_score=request.quality_score,
uploaded_by_user_id=authenticated_user.user.id,
)
)
return _to_asset_response(item)
-153
View File
@@ -1,153 +0,0 @@
"""封面模板 CRUD 路由。
API:
GET /api/v1/cover-templates - 列出当前用户可见的模板
POST /api/v1/cover-templates - 创建自定义模板
PUT /api/v1/cover-templates/{id} - 更新模板
DELETE /api/v1/cover-templates/{id} - 删除自定义模板(系统模板不可删)
"""
import logging
from typing import Any
from app.auth import AuthenticatedUser, get_current_user
from app.dependencies import get_cover_template_repository
from app.schemas.cover_template import (
CoverTemplateResponse,
CreateCoverTemplateRequest,
ListCoverTemplatesResponse,
UpdateCoverTemplateRequest,
)
from fastapi import APIRouter, Depends, HTTPException, Response
from sqlalchemy.exc import OperationalError, ProgrammingError
from packages.domain.cover_template import CoverTemplate
logger = logging.getLogger(__name__)
router = APIRouter(prefix="/cover-templates", tags=["CoverTemplate"])
@router.get("", response_model=ListCoverTemplatesResponse)
def list_cover_templates(
skip: int = 0,
limit: int = 100,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
repo: Any = Depends(get_cover_template_repository),
) -> ListCoverTemplatesResponse:
"""列出当前用户可见的封面模板(系统模板 + 用户自定义模板)。
当数据库表不存在时(迁移未执行),降级返回空列表而非 500。
"""
user_id = authenticated_user.user.id
try:
items = repo.list_for_user(user_id, skip=skip, limit=limit)
total = repo.count_for_user(user_id)
except (OperationalError, ProgrammingError) as exc:
logger.warning("cover_templates 表查询失败(可能未迁移),返回空列表: %s", exc)
return ListCoverTemplatesResponse(items=[], total=0)
return ListCoverTemplatesResponse(
items=[
CoverTemplateResponse(
id=t.id,
name=t.name,
thumbnail_url=t.thumbnail_url,
is_system=t.is_system,
created_at=t.created_at,
config=t.config or {},
)
for t in items
],
total=total,
)
@router.post("", response_model=CoverTemplateResponse, status_code=201)
def create_cover_template(
request: CreateCoverTemplateRequest,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
repo: Any = Depends(get_cover_template_repository),
) -> CoverTemplateResponse:
"""创建用户自定义封面模板。"""
user_id = authenticated_user.user.id
config_dict = request.config.model_dump() if request.config else {}
template = CoverTemplate.create_user(
user_id=user_id,
name=request.name,
config=config_dict,
thumbnail_url=request.thumbnail_url,
)
try:
created = repo.create(template)
except (OperationalError, ProgrammingError) as exc:
logger.warning("cover_templates 表不可用(可能未迁移): %s", exc)
raise HTTPException(status_code=503, detail="封面模板服务暂不可用,请稍后重试") from None
return CoverTemplateResponse(
id=created.id,
name=created.name,
thumbnail_url=created.thumbnail_url,
is_system=created.is_system,
created_at=created.created_at,
config=created.config,
)
@router.put("/{template_id}", response_model=CoverTemplateResponse)
def update_cover_template(
template_id: str,
request: UpdateCoverTemplateRequest,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
repo: Any = Depends(get_cover_template_repository),
) -> CoverTemplateResponse:
"""更新封面模板(仅允许更新自己的模板)。"""
user_id = authenticated_user.user.id
try:
template = repo.get(template_id)
except (OperationalError, ProgrammingError) as exc:
logger.warning("cover_templates 表不可用: %s", exc)
raise HTTPException(status_code=503, detail="封面模板服务暂不可用,请稍后重试") from None
if template is None:
raise HTTPException(status_code=404, detail="模板不存在")
if template.is_system:
raise HTTPException(status_code=403, detail="系统模板不可修改")
if template.user_id != user_id:
raise HTTPException(status_code=403, detail="无权修改该模板")
if request.name is not None:
template.update(name=request.name)
if request.config is not None:
template.update(config=request.config.model_dump())
if request.thumbnail_url is not None:
template.update(thumbnail_url=request.thumbnail_url)
updated = repo.update(template)
return CoverTemplateResponse(
id=updated.id,
name=updated.name,
thumbnail_url=updated.thumbnail_url,
is_system=updated.is_system,
created_at=updated.created_at,
config=updated.config,
)
@router.delete("/{template_id}", status_code=204, response_class=Response)
def delete_cover_template(
template_id: str,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
repo: Any = Depends(get_cover_template_repository),
) -> None:
"""删除用户自定义封面模板(系统模板不可删除)。"""
user_id = authenticated_user.user.id
try:
template = repo.get(template_id)
except (OperationalError, ProgrammingError) as exc:
logger.warning("cover_templates 表不可用: %s", exc)
raise HTTPException(status_code=503, detail="封面模板服务暂不可用,请稍后重试") from None
if template is None:
raise HTTPException(status_code=404, detail="模板不存在")
if template.is_system:
raise HTTPException(status_code=403, detail="系统模板不可删除")
if template.user_id != user_id:
raise HTTPException(status_code=403, detail="无权删除该模板")
repo.delete(template_id)
-364
View File
@@ -1,364 +0,0 @@
"""封面生成路由 — Generation 模块.
端点:
- POST /generate-cover AI 生成封面(从预览视频中抽帧)
挂载路径: /api/v1/generation/generate-cover
"""
from __future__ import annotations
import logging
from typing import Any, List, Optional
from app.auth import AuthenticatedUser, get_current_user
from app.dependencies import get_db_session, get_generated_video_repository
from app.services.edit_plan_service import EditPlanService
from app.services.edit_template_service import EditTemplateService
from fastapi import APIRouter, Depends, HTTPException, Query
from pydantic import BaseModel, Field
from sqlalchemy.orm import Session
from packages.adapters.sqlalchemy_impl.generation_task_repository import (
SQLAlchemyGenerationTaskRepository,
)
from packages.application import ListGeneratedVideosByTaskUseCase
from packages.domain.config_schemas import normalize_plan_config
from .templates_editor.dependencies import get_draft_plan_id, get_editor_services
logger = logging.getLogger(__name__)
router = APIRouter(tags=["Generation"])
# ── Schemas ──────────────────────────────────────────────────────────────
class GenerateCoverRequest(BaseModel):
"""AI 封面生成请求体"""
asset_ids: List[str] = Field(default_factory=list, description="素材 ID 列表(确定视频来源)")
cover_type: str = Field(
default="ai_frame",
description="封面类型: ai_frame / manual / upload / ai_regenerate",
)
frame_time: Optional[float] = Field(
default=None,
ge=0.0,
description="手动选帧时间点(秒),仅 cover_type=manual 时有效",
)
cover_url: Optional[str] = Field(
default=None,
description="上传的封面图片 URL,仅 cover_type=upload 时有效",
)
class GenerateCoverResponse(BaseModel):
"""AI 封面生成响应体"""
plan_id: str = Field(..., description="剪辑计划 ID")
cover: dict[str, Any] = Field(..., description="封面数据(type / image_url / frame_time 等)")
# ── Route ────────────────────────────────────────────────────────────────
@router.post("/generate-cover", response_model=GenerateCoverResponse)
def generate_cover(
body: GenerateCoverRequest,
template_id: str = Query(..., description="模板 ID"),
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
db: Session = Depends(get_db_session),
current_user: AuthenticatedUser = Depends(get_current_user),
) -> GenerateCoverResponse:
"""AI 生成封面 — 从预览视频中抽帧.
流程(串行):
1. 预览视频已渲染完成(通过 3 步查找获取 URL)
2. 用裸 URL 让 MediaKit 下载视频并抽帧
3. 帧图下载后上传到 OSS covers/ 路径
"""
_, plan_svc = services
plan = plan_svc.get_plan_or_raise(plan_id)
# ── upload 类型:直接保存前端上传的封面图片,不需要预览视频 ──────
if body.cover_type == "upload":
if not body.cover_url:
raise HTTPException(
status_code=400,
detail="cover_type=upload 时必须提供 cover_url",
)
cover_data = {
"type": "upload",
"image_url": body.cover_url,
}
current_config = dict(plan.config) if plan.config else {}
current_config["cover"] = cover_data
normalized = normalize_plan_config(current_config)
plan_svc.update_plan_config(plan_id, {"cover": normalized["cover"]})
logger.info(
"封面上传完成: plan_id=%s cover_url=%s by user=%s",
plan_id,
body.cover_url[:80] if body.cover_url else "",
current_user.user.id,
)
return GenerateCoverResponse(plan_id=plan_id, cover=cover_data)
# ── 3 步查找预览视频 URL ──────────────────────────────────────────
# 第一步:从 plan.config 读取
logger.info("[封面生成] 步骤1: 从 plan.config 查找 rendered_storage_key: plan_id=%s", plan_id)
rendered_storage_key = (plan.config or {}).get("rendered_storage_key", "")
# 第二步:如果还没有,通过 generation_task_id 查找预览任务的产物
if not rendered_storage_key:
generation_task_id = (plan.config or {}).get("generation_task_id", "")
logger.info(
"[封面生成] 步骤2: 通过 generation_task_id 查找: plan_id=%s task_id=%s", plan_id, generation_task_id
)
if generation_task_id:
try:
gen_task_repo = SQLAlchemyGenerationTaskRepository(db)
task = gen_task_repo.get(generation_task_id)
if task:
video_repo = get_generated_video_repository(db)
use_case = ListGeneratedVideosByTaskUseCase(video_repo)
videos = use_case.execute(task.id)
if videos:
rendered_storage_key = getattr(videos[0], "file_url", "") or ""
logger.info(
"[封面生成] ✅ 步骤2找到视频: plan_id=%s task_id=%s url=%s",
plan_id,
generation_task_id,
rendered_storage_key[:80],
)
except Exception:
logger.warning(
"封面生成: 通过 generation_task_id 查找视频失败: plan_id=%s",
plan_id,
exc_info=True,
)
# 第 2.5 步:通过 plan_id 作为 source_edit_plan_id 查找关联的已完成预览任务
if not rendered_storage_key:
try:
gen_task_repo = SQLAlchemyGenerationTaskRepository(db)
logger.info("[封面生成] 步骤2.5: 通过 source_edit_plan_id 查找: plan_id=%s", plan_id)
preview_tasks = gen_task_repo.list_by_source_edit_plan(plan_id)
for pt in preview_tasks:
if getattr(pt, "status", "") == "completed" and getattr(pt, "is_preview", False):
video_repo = get_generated_video_repository(db)
use_case = ListGeneratedVideosByTaskUseCase(video_repo)
videos = use_case.execute(pt.id)
if videos:
rendered_storage_key = getattr(videos[0], "file_url", "") or ""
logger.info(
"[封面生成] ✅ 步骤2.5找到视频: plan_id=%s task_id=%s url=%s",
plan_id,
pt.id,
rendered_storage_key[:80],
)
break
except Exception:
logger.warning(
"封面生成: 通过 source_edit_plan_id 查找预览任务失败: plan_id=%s",
plan_id,
exc_info=True,
)
# 第三步:按 user + template 查找最近的已完成预览任务(兜底)
if not rendered_storage_key:
try:
gen_task_repo = SQLAlchemyGenerationTaskRepository(db)
logger.info("[封面生成] 步骤3: 通过 user+template 查找: plan_id=%s template_id=%s", plan_id, template_id)
preview_tasks = gen_task_repo.list_latest_completed_preview(
user_id=str(current_user.user.id),
template_id=template_id,
)
if preview_tasks:
completed_preview = preview_tasks[0]
video_repo = get_generated_video_repository(db)
use_case = ListGeneratedVideosByTaskUseCase(video_repo)
videos = use_case.execute(completed_preview.id)
if videos:
rendered_storage_key = getattr(videos[0], "file_url", "") or ""
logger.info(
"封面视频: 通过 user+template 找到预览任务: plan_id=%s template_id=%s task_id=%s",
plan_id,
template_id,
completed_preview.id,
)
except Exception:
logger.warning(
"封面警告: user+template 查找预览任务失败: plan_id=%s template_id=%s",
plan_id,
template_id,
exc_info=True,
)
# 仍然找不到才报 400
if not rendered_storage_key:
logger.error("[封面生成] ❌ 找不到预览视频: plan_id=%s", plan_id)
raise HTTPException(
status_code=400,
detail="请先生成预览视频,再生成封面",
)
# 回写到 plan.config
plan_svc.update_plan_config(plan_id, {"rendered_storage_key": rendered_storage_key})
# 使用裸 URLrendered/* 已配置公开读)
primary_video_url = None
try:
if rendered_storage_key.startswith("http"):
primary_video_url = rendered_storage_key
else:
from packages.shared.storage import get_shared_storage_service
storage_svc = get_shared_storage_service()
primary_video_url = storage_svc.get_url(rendered_storage_key)
# 防御性规范化:合并路径中的双斜杠(// -> /),但保留协议头的 ://
# 历史数据中 project_id 为空时会产生 projects//tasks/ 路径,
# MediaKit 的 HTTP 客户端会规范化 URL 导致 404
if primary_video_url:
import re as _re
primary_video_url = _re.sub(r"(?<!:)//", "/", primary_video_url)
logger.info(
"获取预览视频URL用于封面生成: plan_id=%s url=%s",
plan_id,
primary_video_url[:80] if primary_video_url else "",
)
except Exception as e:
raise HTTPException(
status_code=500,
detail=f"获取预览视频URL失败: {e}",
) from e
# 统一封面管道:优先从 GenerationTask.cover_url 读取渲染后视频抽帧的封面
# 多步查找 cover_url,和查找视频 URL 一样的 fallback 逻辑
if body.cover_type in ("ai_frame", "ai_regenerate"):
cover_url_from_task = None
gen_task_repo = SQLAlchemyGenerationTaskRepository(db)
# 步骤 A:通过 generation_task_id 直接查找
generation_task_id = (plan.config or {}).get("generation_task_id", "")
if generation_task_id:
try:
task = gen_task_repo.get(generation_task_id)
if task and getattr(task, "cover_url", ""):
cover_url_from_task = task.cover_url
logger.info(
"[封面生成] 统一管道封面(步骤A-direct): plan_id=%s task_id=%s url=%s",
plan_id,
generation_task_id,
cover_url_from_task[:80],
)
except Exception:
logger.warning(
"[封面生成] 步骤A读取 cover_url 失败: plan_id=%s task_id=%s",
plan_id,
generation_task_id,
exc_info=True,
)
# 步骤 B:通过 source_edit_plan_id 查找关联预览任务的 cover_url
if not cover_url_from_task:
try:
preview_tasks = gen_task_repo.list_by_source_edit_plan(plan_id)
for pt in preview_tasks:
if getattr(pt, "status", "") == "completed" and getattr(pt, "cover_url", ""):
cover_url_from_task = pt.cover_url
logger.info(
"[封面生成] 统一管道封面(步骤B-source_plan): plan_id=%s task_id=%s url=%s",
plan_id,
pt.id,
cover_url_from_task[:80],
)
break
except Exception:
logger.warning(
"[封面生成] 步骤B查找 cover_url 失败: plan_id=%s",
plan_id,
exc_info=True,
)
# 步骤 C:通过 user+template 查找最近的已完成预览任务的 cover_url
if not cover_url_from_task:
try:
preview_tasks = gen_task_repo.list_latest_completed_preview(
user_id=str(current_user.user.id),
template_id=template_id,
)
for pt in preview_tasks:
if getattr(pt, "cover_url", ""):
cover_url_from_task = pt.cover_url
logger.info(
"[封面生成] 统一管道封面(步骤C-user+template): plan_id=%s task_id=%s url=%s",
plan_id,
pt.id,
cover_url_from_task[:80],
)
break
except Exception:
logger.warning(
"[封面生成] 步骤C查找 cover_url 失败: plan_id=%s template_id=%s",
plan_id,
template_id,
exc_info=True,
)
if cover_url_from_task:
# 标题已在预览视频渲染时烧录(ASS字幕),封面帧自然包含标题
cover_data = {
"type": "ai_frame",
"image_url": cover_url_from_task,
"frame_time": 0.0,
"confidence": 0.95,
}
current_config = dict(plan.config) if plan.config else {}
current_config["cover"] = cover_data
normalized = normalize_plan_config(current_config)
plan_svc.update_plan_config(plan_id, {"cover": normalized["cover"]})
return GenerateCoverResponse(plan_id=plan_id, cover=cover_data)
logger.warning(
"[封面生成] 统一管道未找到 cover_url: plan_id=%s",
plan_id,
)
# ai_frame/ai_regenerate 类型必须从渲染管道获取,不再回退到 AI 服务
raise HTTPException(
status_code=400,
detail="封面尚未生成,请先重新生成预览视频以触发封面自动提取",
)
from packages.shared.ai_service import run_generate_cover
try:
logger.info("[封面生成] 开始调用 AI 封面生成服务: plan_id=%s", plan_id)
cover_data = run_generate_cover(
plan_id=plan_id,
asset_ids=body.asset_ids,
cover_type=body.cover_type,
frame_time=body.frame_time,
primary_video_url=primary_video_url,
)
except RuntimeError as e:
raise HTTPException(status_code=500, detail=str(e)) from e
current_config = dict(plan.config) if plan.config else {}
current_config["cover"] = cover_data
normalized = normalize_plan_config(current_config)
plan_svc.update_plan_config(plan_id, {"cover": normalized["cover"]})
logger.info(
"封面生成完成: template_id=%s plan_id=%s type=%s by user=%s",
template_id,
plan_id,
body.cover_type,
current_user.user.id,
)
return GenerateCoverResponse(plan_id=plan_id, cover=cover_data)
@@ -1,408 +0,0 @@
"""预览生成路由 — Phase 1:单版本预览接口(创建 + 查询)。
路径前缀:/api/v1/generation/preview(与 /generation/tasks 同体系)
"""
from __future__ import annotations
import json
import logging
from app.auth import AuthenticatedUser, get_current_user
from app.core.storage import get_storage_service
from app.core.task_enqueue import (
GLOBAL_PENDING_LIMIT,
USER_PENDING_LIMIT,
GlobalQueueFull,
UserPendingLimitExceeded,
safe_enqueue_generation_task,
)
from app.dependencies import (
get_asset_repository,
get_db_session,
get_generated_video_repository,
get_generation_task_repository,
)
from app.schemas.generation_task import (
CreatePreviewGenerationTaskRequest,
PreviewGenerationTaskResponse,
)
from fastapi import APIRouter, Depends, HTTPException
from sqlalchemy.orm import Session
from packages.adapters.sqlalchemy_impl.edit_template_repository import (
SQLAlchemyEditTemplateRepository,
)
from packages.adapters.sqlalchemy_impl.template_repository import (
SQLAlchemyTemplateRepository,
)
from packages.application import (
CreateGenerationTaskCommand,
CreateGenerationTaskUseCase,
GetGenerationTaskUseCase,
ListGeneratedVideosByTaskUseCase,
)
logger = logging.getLogger(__name__)
router = APIRouter()
# 模板 mode → 视频比例映射
_TEMPLATE_MODE_TO_RATIO = {
"pip": "9:16",
"standard": "16:9",
"square": "1:1",
}
def _infer_video_ratio_from_template(template_id: str, db: Session, user_id: str = "") -> str:
"""从模板 mode 推断视频比例,前端未传 video_ratio 时使用。
Returns:
视频比例字符串(如 "9:16"),查询失败返回空字符串。
"""
if not template_id:
return ""
try:
repo = SQLAlchemyTemplateRepository(db)
template = repo.get(template_id, user_id)
if template:
mode = getattr(template, "mode", "") or ""
ratio = _TEMPLATE_MODE_TO_RATIO.get(mode.strip(), "")
if ratio:
logger.info(
"[预览生成] 从模板 mode=%s 推断 video_ratio=%s",
mode,
ratio,
)
return ratio
except Exception:
logger.warning(
"[预览生成] 查询模板失败,跳过 video_ratio 推断: template_id=%s",
template_id,
exc_info=True,
)
return ""
def _resolve_strategy_id_from_template(template_id: str, db: Session, user_id: str = "") -> str:
"""从模板读取 editing_mode / mode 作为 strategy_id。
优先查新模板系统(EditTemplate.editing_mode),fallback 旧模板(Template.mode)。
Worker 端使用 strategy_id 作为渲染 mode,为空则默认 one_take。
"""
if not template_id:
return ""
# 优先查新模板系统
try:
new_repo = SQLAlchemyEditTemplateRepository(db)
new_template = new_repo.get(template_id)
if new_template and getattr(new_template, "editing_mode", ""):
mode = new_template.editing_mode.strip()
if mode:
logger.info(
"[预览生成] 从新模板 editing_mode=%s (template_id=%s)",
mode,
template_id,
)
# 画中画已下线,pip/voice_pip 统一映射为 one_take
if mode in ("pip", "voice_pip"):
logger.info("[预览生成] %s → one_take (画中画已下线)", mode)
mode = "one_take"
return mode
except Exception:
logger.debug(
"[预览生成] 新模板查询失败,尝试旧模板: template_id=%s",
template_id,
exc_info=True,
)
# fallback 旧模板系统
try:
old_repo = SQLAlchemyTemplateRepository(db)
old_template = old_repo.get(template_id, user_id)
if old_template:
mode = getattr(old_template, "mode", "") or ""
mode = mode.strip()
if mode:
logger.info(
"[预览生成] 从旧模板 mode=%s (template_id=%s)",
mode,
template_id,
)
# 画中画已下线,pip/voice_pip 统一映射为 one_take
if mode in ("pip", "voice_pip"):
logger.info("[预览生成] %s → one_take (画中画已下线)", mode)
mode = "one_take"
return mode
except Exception:
logger.warning(
"[预览生成] 旧模板查询也失败,strategy_id 留空: template_id=%s",
template_id,
exc_info=True,
)
return ""
def _mark_task_failed(repo, task, reason: str) -> None:
"""入队失败时将任务标记为 failed,避免产生僵尸 pending 数据。"""
try:
task.mark_failed(error_message=f"入队失败:{reason}")
repo.update(task)
except Exception:
logger.exception("[预览生成] 标记任务失败时异常: task_id=%s", task.id)
def _to_preview_response(task, generated_videos: list | None = None) -> PreviewGenerationTaskResponse:
"""将领域任务对象转换为预览响应 DTO。
Args:
task: GenerationTask 领域对象
generated_videos: 生成的视频列表(可选),取第一个作为 video_url
Returns:
PreviewGenerationTaskResponse
"""
video_url = ""
duration = 0.0
file_size = 0
if generated_videos:
first_video = generated_videos[0]
raw_url = getattr(first_video, "file_url", "") or ""
# rendered/* 已配置公开读,直接用裸 URL
if raw_url.startswith("http"):
video_url = raw_url
else:
storage = get_storage_service()
video_url = storage.get_url(raw_url)
duration = float(getattr(first_video, "duration", 0.0) or 0.0)
file_size = int(getattr(first_video, "file_size", 0) or 0)
# 从 extra_meta / metadata 中提取统计信息(如果有)
extra_meta = getattr(task, "extra_meta", {}) or {}
clip_count = int(extra_meta.get("clip_count", len(getattr(task, "asset_ids", [])) or 0))
transition_count = int(extra_meta.get("transition_count", max(0, clip_count - 1)))
material_usage = extra_meta.get("material_usage", {}) or {}
# 计算生成耗时
generate_duration = 0.0
started_at = getattr(task, "started_at", None)
completed_at = getattr(task, "completed_at", None)
if started_at and completed_at:
generate_duration = (completed_at - started_at).total_seconds()
return PreviewGenerationTaskResponse(
task_id=task.id,
status=task.status.value if hasattr(task.status, "value") else str(task.status),
progress=float(task.progress or 0.0),
is_preview=bool(getattr(task, "is_preview", True)),
resolution=getattr(task, "resolution", "") or "",
video_url=video_url,
duration=duration,
file_size=file_size,
clip_count=clip_count,
transition_count=transition_count,
material_usage=material_usage,
error_message=task.error_message or "",
created_at=task.created_at,
started_at=started_at,
finished_at=completed_at,
generate_duration=generate_duration,
)
@router.post("/preview", response_model=PreviewGenerationTaskResponse, status_code=201)
def create_preview_generation_task(
request: CreatePreviewGenerationTaskRequest,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
generation_task_repository=Depends(get_generation_task_repository),
db: Session = Depends(get_db_session),
asset_repo=Depends(get_asset_repository),
) -> PreviewGenerationTaskResponse:
"""创建预览生成任务。
预览渲染品质与正式生成一致(1080p, CRF 23, medium preset),确认生成时可直接复用预览产物。
Args:
request: 预览任务创建请求(template_id + asset_ids 等)
Returns:
201 + 预览任务详情
"""
user_id = authenticated_user.user.id
logger.info(
"[预览生成] 接收请求: user_id=%s, template_id=%s, asset_count=%d, preview_count=%d",
user_id,
request.template_id,
len(request.asset_ids),
request.preview_count,
)
# 预检查队列限流
try:
user_pending = generation_task_repository.count_pending_by_user(user_id)
global_pending = generation_task_repository.count_pending_total()
if user_pending + 1 > USER_PENDING_LIMIT:
raise UserPendingLimitExceeded(user_id=user_id, pending_count=user_pending + 1, limit=USER_PENDING_LIMIT)
if global_pending + 1 > GLOBAL_PENDING_LIMIT:
raise GlobalQueueFull(pending_count=global_pending + 1, limit=GLOBAL_PENDING_LIMIT)
except UserPendingLimitExceeded as e:
raise HTTPException(
status_code=429,
detail=f"您的待处理任务过多(当前 {e.pending_count - 1}/{e.limit}),请等待后再提交",
) from e
except GlobalQueueFull as e:
raise HTTPException(
status_code=503,
detail="系统繁忙,请稍后再试",
) from e
# 确定视频比例:优先前端传入,否则从模板 mode 推断
video_ratio = request.video_ratio or ""
if not video_ratio and request.template_id:
video_ratio = _infer_video_ratio_from_template(request.template_id, db, user_id)
# 从模板读取 editing_mode / mode 作为 strategy_id(渲染 pipeline 的 mode 参数)
strategy_id = _resolve_strategy_id_from_template(request.template_id, db, user_id)
# 处理标题配置:如果有标题文本,序列化到 custom_title 字段传递给 worker
title_config = request.title_config or {}
title_text = (title_config.get("text") or "").strip()
custom_title_value = ""
if title_text:
# 将标题文本和样式配置序列化为 JSON 存入 custom_title
# Worker 端会解析 JSON 获取完整标题配置
custom_title_value = json.dumps(title_config, ensure_ascii=False)
logger.info(
"[预览生成] 标题配置: text=%s, config_keys=%s",
title_text[:30],
list(title_config.keys()),
)
use_case = CreateGenerationTaskUseCase(generation_task_repository)
try:
task = use_case.execute(
CreateGenerationTaskCommand(
project_id="",
asset_library_id="",
strategy_id=strategy_id,
voice_library_id=request.voice_library_id,
template_id=request.template_id,
asset_ids=list(request.asset_ids),
title_ids=list(request.title_ids),
voice_ids=list(request.voice_ids),
created_by_user_id=user_id,
source_edit_plan_id=request.source_edit_plan_id,
asset_select_mode="",
batch_id="",
video_title=request.video_title,
resolution="",
bgm_config=request.bgm_config or {},
auto_retry_enabled=False,
auto_retry_max=0,
is_preview=True,
custom_title=custom_title_value,
)
)
except ValueError as e:
logger.warning("[预览生成] 创建失败: %s", e)
raise HTTPException(status_code=400, detail=str(e)) from e
except Exception as e:
logger.error("[预览生成] 创建失败: %s", e, exc_info=True)
raise HTTPException(status_code=500, detail="创建预览生成任务失败,请稍后再试") from e
# 关联编辑计划:如果前端未传 source_edit_plan_id,通过 template_id + user_id 查找
if not task.source_edit_plan_id and request.template_id:
try:
from packages.adapters.sqlalchemy_impl.edit_plan_repository import (
SQLAlchemyEditPlanRepository,
)
_plan_repo = SQLAlchemyEditPlanRepository(db)
_plans = _plan_repo.list_by_template(request.template_id, limit=20)
for _p in _plans:
if (_p.created_by_user_id or "") == user_id:
task.source_edit_plan_id = _p.id
generation_task_repository.update(task)
logger.info(
"[预览生成] 自动关联编辑计划: task_id=%s plan_id=%s",
task.id,
_p.id,
)
break
except Exception:
logger.warning(
"[预览生成] 查找关联编辑计划失败(不影响主流程): task_id=%s",
task.id,
exc_info=True,
)
# 入队执行;若入队失败则标记任务为 failed 避免僵尸数据
try:
if not safe_enqueue_generation_task(
task,
generation_task_repository,
user_id=user_id,
log_prefix="[预览生成]",
log_task_status=True,
):
logger.warning("[预览生成] 任务入队失败: task_id=%s", task.id)
_mark_task_failed(generation_task_repository, task, "任务入队失败")
raise HTTPException(status_code=500, detail="任务入队失败,请稍后重试")
except UserPendingLimitExceeded as e:
_mark_task_failed(generation_task_repository, task, "待处理任务超限")
raise HTTPException(
status_code=429,
detail=f"您的待处理任务过多(当前 {e.pending_count - 1}/{e.limit}),请等待后再提交",
) from None
except GlobalQueueFull:
_mark_task_failed(generation_task_repository, task, "系统队列已满")
raise HTTPException(
status_code=503,
detail="系统繁忙,请稍后再试",
) from None
return _to_preview_response(task)
@router.get("/preview/{task_id}", response_model=PreviewGenerationTaskResponse)
def get_preview_generation_task(
task_id: str,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
generation_task_repository=Depends(get_generation_task_repository),
generated_video_repository=Depends(get_generated_video_repository),
) -> PreviewGenerationTaskResponse:
"""查询预览生成任务状态。
Args:
task_id: 任务 ID
Returns:
预览任务详情(含状态、进度、结果 URL 等)
"""
use_case = GetGenerationTaskUseCase(generation_task_repository)
task = use_case.execute(task_id)
if task is None:
raise HTTPException(status_code=404, detail=f"预览任务 {task_id} 不存在")
# 权限校验:任务必须属于当前用户(统一转 str 比较,避免 UUID/str 类型差异)
task_user_id = str(getattr(task, "created_by_user_id", "") or "")
if not task_user_id or task_user_id != str(authenticated_user.user.id):
raise HTTPException(status_code=403, detail="无权访问该任务")
# 校验是否为预览任务
if not getattr(task, "is_preview", False):
raise HTTPException(status_code=404, detail=f"预览任务 {task_id} 不存在")
# 查询生成的视频(取第一个)
generated_videos = []
status_val = task.status.value if hasattr(task.status, "value") else str(task.status)
if status_val == "completed":
list_use_case = ListGeneratedVideosByTaskUseCase(generated_video_repository)
generated_videos = list_use_case.execute(task_id)
return _to_preview_response(task, generated_videos=generated_videos)
+14 -146
View File
@@ -26,7 +26,6 @@ from app.schemas.generated_video import (
)
from app.schemas.generation_task import (
BatchGenerationTaskResponse,
ConfirmGenerationRequest,
CreateGenerationTaskRequest,
GenerationTaskResponse,
ListGenerationTasksResponse,
@@ -39,7 +38,6 @@ from packages.application import (
GetGenerationTaskUseCase,
ListGeneratedVideosByTaskUseCase,
)
from packages.domain.smart_match import smart_select_assets
logger = logging.getLogger(__name__)
@@ -63,12 +61,6 @@ def _to_generation_task_response(task) -> GenerationTaskResponse:
video_title=getattr(task, "video_title", ""),
resolution=getattr(task, "resolution", ""),
bgm_config=getattr(task, "bgm_config", {}) or {},
is_preview=getattr(task, "is_preview", False),
source_task_id=getattr(task, "source_task_id", ""),
output_width=getattr(task, "output_width", 1280),
output_height=getattr(task, "output_height", 720),
cover_url=getattr(task, "cover_url", ""),
custom_title=getattr(task, "custom_title", ""),
logs=getattr(task, "logs", "[]"),
status=task.status,
progress=task.progress,
@@ -132,11 +124,19 @@ def _select_assets_from_library(
return [a.id for a in selected]
if mode == "smart":
# 智能匹配:统一使用 packages/domain/smart_match.py 的多维评分+多样性选取
# 评分维度:质量分(40%) + 时长适配(30%) + 新鲜度(20%) + 未使用加分(10%)
limit = count if count > 0 else None
results = smart_select_assets(ready_video_assets, limit=limit, kind="video")
return [r.asset.id for r in results]
# 智能匹配:按质量分降序 + 时长降序作为tiebreaker
# 注意:这里使用简单的 quality_score 排序保持向后兼容
# 更复杂的4维评分+多样性策略由 SmartAssetSelector 服务提供(用于 AI 精选等场景)
scored_assets = sorted(
ready_video_assets,
key=lambda a: (
-(a.quality_score if a.quality_score is not None else 0.0),
-(getattr(a, "duration", 0.0) or 0.0),
),
)
if count > 0:
scored_assets = scored_assets[:count]
return [a.id for a in scored_assets]
# 默认 all 模式:返回全部 ready 视频素材
return [a.id for a in ready_video_assets]
@@ -271,19 +271,13 @@ def create_generation_task(
detail="系统繁忙,请稍后再试",
) from e
# 画中画已下线:strategy_id 中的 pip/voice_pip 统一映射为 one_take
effective_strategy_id = request.strategy_id
if effective_strategy_id in ("pip", "voice_pip"):
logger.info("画中画已下线,strategy_id %s → one_take", effective_strategy_id)
effective_strategy_id = "one_take"
try:
for _ in range(count):
task = use_case.execute(
CreateGenerationTaskCommand(
project_id=project_id,
asset_library_id=asset_library_id,
strategy_id=effective_strategy_id,
strategy_id=request.strategy_id,
voice_library_id=request.voice_library_id,
template_id=request.template_id,
asset_ids=resolved_asset_ids,
@@ -298,12 +292,6 @@ def create_generation_task(
bgm_config=request.bgm_config,
auto_retry_enabled=request.auto_retry_enabled,
auto_retry_max=request.auto_retry_max,
is_preview=request.is_preview,
source_task_id=request.source_task_id,
output_width=request.output_width,
output_height=request.output_height,
cover_url=request.cover_url,
custom_title=request.custom_title,
)
)
try:
@@ -344,120 +332,6 @@ def create_generation_task(
return BatchGenerationTaskResponse(items=items, total=len(items))
@router.post("/tasks/{task_id}/confirm", response_model=BatchGenerationTaskResponse)
def confirm_generation(
task_id: str,
request: ConfirmGenerationRequest,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
generation_task_repository: Any = Depends(get_generation_task_repository),
project_repository: Any = Depends(get_project_repository),
) -> BatchGenerationTaskResponse:
"""确认生成 -- 复用预览渲染产物(预览与正式品质一致)。
预览已使用 1080p / CRF 23 / medium 渲染,品质与正式生成一致。
确认时直接将预览任务标记为正式产出,无需重新渲染,实现秒出。
仅当预览任务未完成时,才创建新的正式任务走渲染流程。
"""
# 1. 查找源预览任务
source_task = generation_task_repository.get(task_id)
if source_task is None:
raise HTTPException(status_code=404, detail=f"Preview task {task_id} not found")
# 2. 权限检查
if source_task.created_by_user_id and source_task.created_by_user_id != authenticated_user.user.id:
raise HTTPException(status_code=403, detail="Access denied to this task")
if source_task.project_id:
check_project_access(source_task.project_id, authenticated_user.user.id, project_repository)
# 3. 如果预览任务已完成,检查分辨率一致性后复用产物(秒出)
if source_task.is_completed and getattr(source_task, "is_preview", False):
# 校验请求的分辨率是否与预览实际渲染的分辨率一致
req_w = request.output_width or 0
req_h = request.output_height or 0
src_w = getattr(source_task, "output_width", 0) or 0
src_h = getattr(source_task, "output_height", 0) or 0
resolution_match = (req_w == 0 or req_w == src_w) and (req_h == 0 or req_h == src_h)
if resolution_match:
source_task.mark_confirmed(
cover_url=request.cover_url,
custom_title=request.custom_title,
output_width=request.output_width,
output_height=request.output_height,
)
generation_task_repository.update(source_task)
logger.info(
"[确认生成] 复用预览产物: task_id=%s, user_id=%s",
task_id,
authenticated_user.user.id,
)
return BatchGenerationTaskResponse(
items=[_to_generation_task_response(source_task)],
total=1,
)
# 分辨率不一致,跳过复用,走新建任务流程
logger.info(
"[确认生成] 分辨率不一致,跳过复用: task_id=%s, src=%sx%s, req=%sx%s",
task_id,
src_w,
src_h,
req_w,
req_h,
)
# 4. 预览任务未完成,创建新的正式任务走渲染流程
use_case = CreateGenerationTaskUseCase(generation_task_repository)
new_task = use_case.execute(
CreateGenerationTaskCommand(
project_id=source_task.project_id,
asset_library_id=source_task.asset_library_id,
strategy_id=source_task.strategy_id,
voice_library_id=source_task.voice_library_id,
template_id=source_task.template_id,
asset_ids=source_task.asset_ids,
title_ids=source_task.title_ids,
voice_ids=source_task.voice_ids,
created_by_user_id=authenticated_user.user.id,
source_edit_plan_id=source_task.source_edit_plan_id or "",
asset_select_mode=source_task.asset_select_mode,
video_title=getattr(source_task, "video_title", ""),
resolution=getattr(source_task, "resolution", ""),
is_preview=False,
source_task_id=task_id,
output_width=request.output_width,
output_height=request.output_height,
cover_url=request.cover_url,
custom_title=request.custom_title,
)
)
# 5. 调度 worker
try:
if not safe_enqueue_generation_task(
new_task,
generation_task_repository,
user_id=authenticated_user.user.id,
log_prefix="[确认生成]",
log_task_status=True,
):
logger.warning("[确认生成] 入队失败: task_id=%s", new_task.id)
except UserPendingLimitExceeded:
raise HTTPException(
status_code=429,
detail="您的待处理任务过多,请等待完成后再提交",
) from None
except GlobalQueueFull:
raise HTTPException(
status_code=503,
detail="系统繁忙,请稍后再试",
) from None
return BatchGenerationTaskResponse(
items=[_to_generation_task_response(new_task)],
total=1,
)
@router.get("/tasks", response_model=ListGenerationTasksResponse)
def list_generation_tasks(
authenticated_user: AuthenticatedUser = Depends(get_current_user),
@@ -555,12 +429,6 @@ def retry_generation_task(
asset_select_mode=getattr(task, "asset_select_mode", ""),
video_title=getattr(task, "video_title", ""),
resolution=getattr(task, "resolution", ""),
is_preview=getattr(task, "is_preview", False),
source_task_id=getattr(task, "source_task_id", ""),
output_width=getattr(task, "output_width", 1280),
output_height=getattr(task, "output_height", 720),
cover_url=getattr(task, "cover_url", ""),
custom_title=getattr(task, "custom_title", ""),
)
)
try:
+3 -3
View File
@@ -1,6 +1,6 @@
from datetime import datetime, timezone
import psycopg
import psycopg2
import redis
from app.config import settings
from fastapi import APIRouter, status
@@ -49,7 +49,7 @@ async def _check_database() -> dict:
"message": "Using in-memory database",
}
try:
conn = psycopg.connect(settings.DATABASE_URL, connect_timeout=3)
conn = psycopg2.connect(settings.DATABASE_URL, connect_timeout=3)
with conn.cursor() as cur:
cur.execute("SELECT 1")
cur.fetchone()
@@ -124,7 +124,7 @@ async def _check_migrations() -> dict:
"message": "Using in-memory database, no migrations needed",
}
try:
conn = psycopg.connect(settings.DATABASE_URL, connect_timeout=3)
conn = psycopg2.connect(settings.DATABASE_URL, connect_timeout=3)
with conn.cursor() as cur:
cur.execute("""
SELECT COUNT(*) FROM information_schema.tables
@@ -11,6 +11,7 @@
- bgm.py: BGM 管理
- effects.py: 转场 + 滤镜
- export.py: 导出配置
- cover.py: 封面管理 + AI 生成封面
- subtitles.py: 字幕管理
- ai_features.py: AI 推荐
- generation.py: 生成(触发/进度/记录)
@@ -30,6 +31,7 @@ from .adjustments import router as adjustments_router
from .ai_features import router as ai_features_router
from .bgm import router as bgm_router
from .clips import router as clips_router
from .cover import router as cover_router
from .dependencies import get_draft_plan_id, get_editor_services # noqa: F401
from .draft import router as draft_router
from .effects import router as effects_router
@@ -49,6 +51,7 @@ _sub_routers = [
bgm_router,
effects_router,
export_router,
cover_router,
subtitles_router,
ai_features_router,
generation_router,
@@ -27,14 +27,18 @@ from packages.domain.edit_plan import EditPlanStatus
logger = logging.getLogger(__name__)
def _auto_fallback_draft_to_editing(svc: EditPlanService, plan_id: str, plan_check) -> None:
def _auto_fallback_draft_to_editing(
svc: EditPlanService, plan_id: str, plan_check
) -> None:
"""自动兜底 1: draft → editing"""
if plan_check.status == EditPlanStatus.DRAFT:
logger.info("模板编辑器自动兜底: plan=%s draft→editing", plan_id)
svc.transition_status(plan_id, EditPlanStatus.EDITING)
def _auto_fallback_copy_template_clips(svc: EditPlanService, plan_id: str, plan_check, db: Session) -> None:
def _auto_fallback_copy_template_clips(
svc: EditPlanService, plan_id: str, plan_check, db: Session
) -> None:
"""自动兜底 2: 无片段 + 有 template_id → 从模板复制片段配置"""
existing_clips = svc.count_clips(plan_id)
if existing_clips == 0 and plan_check.template_id:
@@ -49,15 +53,15 @@ def _auto_fallback_copy_template_clips(svc: EditPlanService, plan_id: str, plan_
for cfg in configs:
svc.create_clip(
plan_id=plan_id,
clip_type=cfg.clip_type.value if hasattr(cfg.clip_type, "value") else cfg.clip_type,
clip_type=cfg.clip_type.value
if hasattr(cfg.clip_type, "value")
else cfg.clip_type,
order=cfg.order,
template_clip_config_id=cfg.id,
duration=cfg.default_duration,
transition_effect=(
cfg.transition_effect.value
if hasattr(cfg.transition_effect, "value")
else cfg.transition_effect
),
transition_effect=cfg.transition_effect.value
if hasattr(cfg.transition_effect, "value")
else cfg.transition_effect,
)
logger.info(
"模板编辑器自动兜底: plan=%s 从 template_clip_configs 复制了 %d 个片段",
@@ -86,20 +90,14 @@ def _auto_fallback_copy_template_clips(svc: EditPlanService, plan_id: str, plan_
)
def _auto_fallback_assign_assets(svc: EditPlanService, plan_id: str, plan_check) -> list:
def _auto_fallback_assign_assets(
svc: EditPlanService, plan_id: str, plan_check
) -> list:
"""自动兜底 3: 为没有素材的片段分配素材。返回剩余无素材片段列表。"""
all_clips = svc.list_clips(plan_id)
clips_without_asset = [c for c in all_clips if not c.asset_id]
config_asset_ids = (plan_check.config or {}).get("asset_ids", [])
logger.info(
"模板编辑器自动兜底3 诊断: plan=%s total_clips=%d " "clips_without_asset=%d config_asset_ids=%r",
plan_id,
len(all_clips),
len(clips_without_asset),
config_asset_ids[:5] if config_asset_ids else [],
)
if clips_without_asset and config_asset_ids:
logger.info(
"模板编辑器自动兜底3: plan=%s%d 个无素材片段分配 %d 个指定素材",
@@ -107,42 +105,11 @@ def _auto_fallback_assign_assets(svc: EditPlanService, plan_id: str, plan_check)
len(clips_without_asset),
len(config_asset_ids),
)
assigned = 0
for i, clip in enumerate(clips_without_asset):
asset_idx = i % len(config_asset_ids)
try:
svc.assign_asset(clip.id, config_asset_ids[asset_idx])
assigned += 1
except Exception as exc:
logger.error(
"模板编辑器自动兜底3: plan=%s clip=%s 分配素材 %s 失败: %s",
plan_id,
clip.id,
config_asset_ids[asset_idx],
exc,
)
logger.info(
"模板编辑器自动兜底3: plan=%s 素材分配完成 assigned=%d/%d",
plan_id,
assigned,
len(clips_without_asset),
)
# 重新检查剩余无素材片段
all_clips_after = svc.list_clips(plan_id)
clips_without_asset = [c for c in all_clips_after if not c.asset_id]
if clips_without_asset:
logger.warning(
"模板编辑器自动兜底3: plan=%s 仍有 %d 个片段无素材",
plan_id,
len(clips_without_asset),
)
elif not clips_without_asset:
logger.info("模板编辑器自动兜底3: plan=%s 所有片段已有素材,跳过", plan_id)
elif not config_asset_ids:
logger.info(
"模板编辑器自动兜底3: plan=%s config.asset_ids 为空,跳过分配",
plan_id,
)
svc.assign_asset(clip.id, config_asset_ids[asset_idx])
logger.info("模板编辑器自动兜底3: plan=%s 素材分配完成", plan_id)
clips_without_asset = []
return clips_without_asset
@@ -154,74 +121,43 @@ def _auto_fallback_auto_material_mode(
clips_without_asset: list,
asset_library_repo: Any,
asset_repo: Any,
user_id: str = "",
) -> None:
"""自动兜底 4: 自动选素材分配给无素材片段
查找策略(按优先级):
1. plan 有 project_id → 从项目素材库查找
2. plan 无 project_id 但有 user_id → 从用户上传的素材中查找
"""
"""自动兜底 4: 项目有视频素材库时自动选素材"""
if not clips_without_asset:
return
ready_videos: list = []
source_desc = ""
# 策略 1: 通过 project_id 查找项目素材库
if plan_check.project_id:
libs = asset_library_repo.find_by_project(plan_check.project_id)
video_lib = None
for lib in libs:
lib_kind = lib.kind.value if hasattr(lib.kind, "value") else lib.kind
if lib_kind == "video":
video_lib = lib
break
if video_lib:
assets = asset_repo.find_by_library(video_lib.id)
ready_videos = [
a
for a in assets
if (a.status.value if hasattr(a.status, "value") else a.status) == "ready"
and a.mime_type
and a.mime_type.startswith("video")
]
source_desc = f"素材库 {video_lib.name}"
# 策略 2: 通过 user_id 查找用户上传的素材
if not ready_videos and user_id and hasattr(asset_repo, "find_ready_videos_by_user"):
logger.info(
"模板编辑器自动兜底4: plan=%s project_id 为空,尝试通过 user_id=%s 查找素材",
plan_id,
user_id,
)
ready_videos = asset_repo.find_ready_videos_by_user(user_id)
source_desc = f"用户上传 (user_id={user_id[:8]}...)"
if not ready_videos:
logger.warning(
"模板编辑器自动兜底4: plan=%s 未找到可用素材 (project_id=%s, user_id=%s)",
plan_id,
plan_check.project_id or "(empty)",
user_id[:8] + "..." if user_id else "(empty)",
)
if not plan_check.project_id:
return
logger.info(
"模板编辑器自动兜底4: plan=%s 自动选素材分配给 %d 个无素材片段 (来源: %s, 共 %d 个)",
"模板编辑器自动兜底4: plan=%s 自动选素材分配给 %d 个无素材片段",
plan_id,
len(clips_without_asset),
source_desc,
len(ready_videos),
)
random.shuffle(ready_videos)
for i, clip in enumerate(clips_without_asset):
asset = ready_videos[i % len(ready_videos)]
svc.assign_asset(clip.id, asset.id)
logger.info(
"模板编辑器自动兜底4: plan=%s%s 分配了 %d 个素材给 %d 个片段",
plan_id,
source_desc,
len(ready_videos),
len(clips_without_asset),
)
libs = asset_library_repo.find_by_project(plan_check.project_id)
video_lib = None
for lib in libs:
lib_kind = lib.kind.value if hasattr(lib.kind, "value") else lib.kind
if lib_kind == "video":
video_lib = lib
break
if video_lib:
assets = asset_repo.find_by_library(video_lib.id)
ready_videos = [
a
for a in assets
if (a.status.value if hasattr(a.status, "value") else a.status) == "ready"
and a.mime_type
and a.mime_type.startswith("video")
]
if ready_videos:
random.shuffle(ready_videos)
for i, clip in enumerate(clips_without_asset):
asset = ready_videos[i % len(ready_videos)]
svc.assign_asset(clip.id, asset.id)
logger.info(
"模板编辑器自动兜底4: plan=%s 从素材库 %s 分配了 %d 个素材",
plan_id,
video_lib.name,
len(ready_videos),
)
@@ -24,94 +24,6 @@ logger = logging.getLogger(__name__)
router = APIRouter(tags=["Template Editor"])
def _build_asset_analyses(
asset_ids: list[str],
db: Session,
) -> dict[str, str]:
"""调用 MediaKit 视频理解,返回 {asset_id: 分析文本}.
如果 MediaKit 不可用或分析失败,返回空 dict(调用方降级处理)。
"""
if not asset_ids:
return {}
try:
from packages.adapters.sqlalchemy_impl.asset_repository import SQLAlchemyAssetRepository
from packages.shared.mediakit_client import get_mediakit_client
from packages.shared.storage import get_shared_storage_service
client = get_mediakit_client()
if not client.is_available:
logger.info("MediaKit 未配置,跳过视频理解分析")
return {}
asset_repo = SQLAlchemyAssetRepository(db)
storage_svc = get_shared_storage_service()
# 查找素材并获取下载 URL(使用并行列表保持索引对应,避免 URL 重复导致映射覆盖)
video_urls: list[str] = []
valid_asset_ids: list[str] = []
for aid in asset_ids[:10]: # MediaKit 单次最多 10 个视频
asset = asset_repo.get(aid)
if not asset or not asset.storage_key:
continue
# 只处理视频素材
mime = getattr(asset, "mime_type", "")
if not mime.startswith("video/"):
continue
try:
url = storage_svc.get_download_url(asset.storage_key)
if url:
video_urls.append(url)
valid_asset_ids.append(aid)
except Exception as e:
logger.warning("获取素材URL失败: asset_id=%s error=%s", aid, str(e))
if not video_urls:
logger.info("无可用视频素材,跳过视频理解分析")
return {}
# 调用 MediaKit 视频理解
prompt = (
"请简要描述这段视频的主要内容,包括:场景(室内/室外/具体场所)、"
"主体(人物/物体/动物)、动作/活动、氛围/情绪、主要色调。"
"控制在100字以内。"
)
# 限制轮询参数以适配 API 网关超时(nginx 60s
# 视频理解最多 30spoll_interval=2s * max_poll_attempts=15
# 剩余 30s 留给 LLM 调用
contents = client.analyze_videos(
video_urls=video_urls,
prompt=prompt,
level="Economy",
poll_interval=2.0,
max_poll_attempts=15,
)
if not contents:
logger.warning("MediaKit 视频理解未返回结果")
return {}
# 将结果映射回 asset_id(通过索引对应)
analyses: dict[str, str] = {}
for i, content in enumerate(contents):
if i < len(valid_asset_ids) and content:
analyses[valid_asset_ids[i]] = content
logger.info(
"MediaKit 视频理解完成: total=%d analyzed=%d",
len(video_urls),
len(analyses),
)
return analyses
except Exception as e:
logger.warning("MediaKit 视频理解异常,将降级到无分析模式: %s", str(e))
return {}
@router.post("/ai-recommend", response_model=AIRecommendResponse)
def editor_ai_recommend(
template_id: str,
@@ -134,16 +46,12 @@ def editor_ai_recommend(
from packages.shared.ai_service import run_ai_recommend
# 调用 MediaKit 视频理解,获取素材内容分析
asset_analyses = _build_asset_analyses(body.asset_ids, db)
result = run_ai_recommend(
plan_id=plan_id,
template_id=plan.template_id,
asset_ids=body.asset_ids,
editing_mode=body.editing_mode,
target_duration=body.target_duration,
asset_analyses=asset_analyses,
)
try:
+35 -110
View File
@@ -16,16 +16,13 @@
from __future__ import annotations
import logging
from typing import Any
from app.auth import AuthenticatedUser, get_current_user
from app.core.storage import get_storage_service
from app.dependencies import get_asset_repository
from app.services.edit_plan_service import EditPlanService
from app.services.edit_template_service import EditTemplateService
from fastapi import APIRouter, Depends, HTTPException, Query, status
from packages.adapters.sqlalchemy_impl.asset_repository import SQLAlchemyAssetRepository
from .dependencies import get_draft_plan_id, get_editor_services
from .schemas import (
ClipBatchDeleteRequest,
@@ -46,100 +43,30 @@ logger = logging.getLogger(__name__)
router = APIRouter(tags=["Template Editor"])
def _clip_to_response(clip, asset_url: str | None = None) -> EditorClipResponse:
"""统一构造片段响应 — 与 edit_plan_clips 表字段完全对齐"""
def _enum_str(val) -> str:
return val.value if hasattr(val, "value") else str(val)
def _fmt_dt(val) -> str:
if val is None:
return ""
if hasattr(val, "isoformat"):
return val.isoformat()
return str(val)
def _clip_to_response(clip) -> EditorClipResponse:
"""统一构造片段响应"""
return EditorClipResponse(
id=clip.id,
plan_id=clip.plan_id,
clip_type=_enum_str(getattr(clip, "clip_type", "")),
clip_type=clip.clip_type.value
if hasattr(clip.clip_type, "value")
else str(clip.clip_type),
order=clip.order,
duration=clip.duration,
start_time=getattr(clip, "start_time", 0.0) or 0.0,
text_content=clip.text_content or "",
transition_effect=_enum_str(getattr(clip, "transition_effect", "cut")),
transition_duration=getattr(clip, "transition_duration", 0.0) or 0.0,
transition_effect=clip.transition_effect.value
if hasattr(clip.transition_effect, "value")
else str(clip.transition_effect),
playback_speed=clip.playback_speed or 1.0,
asset_id=getattr(clip, "asset_id", "") or "",
asset_url=asset_url,
status=getattr(clip, "status", "pending") or "pending",
template_clip_config_id=getattr(clip, "template_clip_config_id", "") or "",
config=clip.config or {},
created_at=_fmt_dt(getattr(clip, "created_at", None)),
updated_at=_fmt_dt(getattr(clip, "updated_at", None)),
)
def _build_asset_url_map(
asset_ids: list[str],
asset_repo: SQLAlchemyAssetRepository,
) -> dict[str, str | None]:
"""批量查询素材并生成签名URL映射.
Returns:
{asset_id: signed_url_or_None}
"""
if not asset_ids:
return {}
# 去重:多个 clip 可能引用同一个素材
# 去重并保持顺序
seen: set[str] = set()
unique_ids = []
for aid in asset_ids:
if aid and aid not in seen:
seen.add(aid)
unique_ids.append(aid)
result: dict[str, str | None] = {}
try:
storage = get_storage_service()
except Exception:
logger.warning("获取存储服务失败,跳过asset_url生成")
return {aid: None for aid in asset_ids}
# 批量查询所有 Asset(单次 SQL IN 查询,避免 N+1)
try:
assets = asset_repo.find_by_ids(unique_ids)
asset_map = {a.id: a for a in assets}
except Exception:
logger.warning("批量查询素材失败: asset_ids=%s", asset_ids, exc_info=True)
return {aid: None for aid in asset_ids if aid}
for aid in unique_ids:
try:
asset = asset_map.get(aid)
if asset is None:
result[aid] = None
continue
storage_key = getattr(asset, "storage_key", None) or ""
if not storage_key:
result[aid] = None
continue
result[aid] = storage.get_download_url(storage_key, expires_seconds=3600)
except Exception:
logger.warning("生成素材签名URL失败: asset_id=%s", aid, exc_info=True)
result[aid] = None
return result
@router.get("/clips", response_model=EditorClipListResponse)
def list_draft_clips(
template_id: str,
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
asset_repo: SQLAlchemyAssetRepository = Depends(get_asset_repository),
skip: int = Query(default=0, ge=0),
limit: int = Query(default=100, ge=1, le=500),
_: AuthenticatedUser = Depends(get_current_user),
@@ -148,17 +75,8 @@ def list_draft_clips(
_, plan_svc = services
clips = plan_svc.list_clips(plan_id, skip=skip, limit=limit)
total = plan_svc.count_clips(plan_id)
# 批量解析素材签名URL
asset_ids = [getattr(c, "asset_id", "") or "" for c in clips]
asset_ids = [aid for aid in asset_ids if aid]
url_map = _build_asset_url_map(asset_ids, asset_repo)
return EditorClipListResponse(
items=[
_clip_to_response(c, asset_url=url_map.get(getattr(c, "asset_id", "") or ""))
for c in clips
],
items=[_clip_to_response(c) for c in clips],
total=total,
)
@@ -238,7 +156,6 @@ def get_draft_clip_detail(
clip_id: str,
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
asset_repo: SQLAlchemyAssetRepository = Depends(get_asset_repository),
_: AuthenticatedUser = Depends(get_current_user),
):
"""获取草稿中的片段详情"""
@@ -248,20 +165,16 @@ def get_draft_clip_detail(
raise HTTPException(status_code=404, detail="片段不存在")
if clip.plan_id != plan_id:
raise HTTPException(status_code=404, detail="片段不存在")
asset_id = getattr(clip, "asset_id", "") or ""
url_map = _build_asset_url_map([asset_id], asset_repo) if asset_id else {}
return _clip_to_response(clip, asset_url=url_map.get(asset_id))
return _clip_to_response(clip)
@router.post("/clips/{clip_id}/split", status_code=status.HTTP_200_OK)
@router.post("/clips/{clip_id}/split", response_model=dict[str, Any], status_code=status.HTTP_200_OK)
def split_draft_clip(
template_id: str,
clip_id: str,
body: SplitClipRequest,
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
asset_repo: SQLAlchemyAssetRepository = Depends(get_asset_repository),
_: AuthenticatedUser = Depends(get_current_user),
):
"""将一个片段从指定时间点分割为两个片段"""
@@ -277,22 +190,32 @@ def split_draft_clip(
) from exc
left = result["left_clip"]
right = result["right_clip"]
asset_ids = [getattr(left, "asset_id", "") or "", getattr(right, "asset_id", "") or ""]
asset_ids = [a for a in asset_ids if a]
url_map = _build_asset_url_map(asset_ids, asset_repo)
return {
"left_clip": _clip_to_response(left, asset_url=url_map.get(getattr(left, "asset_id", "") or "")),
"right_clip": _clip_to_response(right, asset_url=url_map.get(getattr(right, "asset_id", "") or "")),
"left_clip": {
"id": left.id,
"plan_id": left.plan_id,
"clip_type": left.clip_type,
"order": left.order,
"duration": left.duration,
"start_time": left.start_time,
},
"right_clip": {
"id": right.id,
"plan_id": right.plan_id,
"clip_type": right.clip_type,
"order": right.order,
"duration": right.duration,
"start_time": right.start_time,
},
}
@router.post("/clips/merge", status_code=status.HTTP_200_OK)
@router.post("/clips/merge", response_model=dict[str, Any], status_code=status.HTTP_200_OK)
def merge_draft_clips(
template_id: str,
body: MergeClipsRequest,
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
asset_repo: SQLAlchemyAssetRepository = Depends(get_asset_repository),
_: AuthenticatedUser = Depends(get_current_user),
):
"""将多个连续的同类型片段合并为一个片段"""
@@ -307,11 +230,13 @@ def merge_draft_clips(
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST, detail=str(exc)
) from exc
asset_id = getattr(merged, "asset_id", "") or ""
url_map = _build_asset_url_map([asset_id], asset_repo) if asset_id else {}
return {
"merged_clip": _clip_to_response(merged, asset_url=url_map.get(asset_id)),
"deleted_clip_ids": body.clip_ids,
"id": merged.id,
"plan_id": merged.plan_id,
"clip_type": merged.clip_type,
"order": merged.order,
"duration": merged.duration,
"text_content": merged.text_content,
}
+209
View File
@@ -0,0 +1,209 @@
"""封面管理路由.
端点:
- GET /cover 封面配置
- PUT /cover 更新封面
- POST /cover/extract 抽帧生成封面
- POST /cover/smart 智能选帧
- POST /generate-cover AI 生成封面
"""
from __future__ import annotations
import logging
from app.auth import AuthenticatedUser, get_current_user
from app.services.edit_plan_service import EditPlanService
from app.services.edit_template_service import EditTemplateService
from fastapi import APIRouter, Depends, HTTPException
from packages.domain.config_schemas import normalize_plan_config
from .dependencies import get_draft_plan_id, get_editor_services
from .schemas import (
CoverConfigResponse,
CoverExtractRequest,
CoverGenerateResponse,
CoverSmartRequest,
CoverUpdateRequest,
GenerateCoverRequest,
GenerateCoverResponse,
)
logger = logging.getLogger(__name__)
router = APIRouter(tags=["Template Editor"])
@router.get("/cover", response_model=CoverConfigResponse)
def get_editor_cover(
template_id: str,
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
_: AuthenticatedUser = Depends(get_current_user),
) -> CoverConfigResponse:
"""获取草稿封面配置"""
_, plan_svc = services
plan = plan_svc.get_plan_or_raise(plan_id)
config = plan.config or {}
cover_config = config.get("cover", {})
return CoverConfigResponse(
type=cover_config.get("cover_type", "auto"),
image_url=cover_config.get("cover_image_url", ""),
frame_time=cover_config.get("frame_time", 0.0),
)
@router.put("/cover", response_model=CoverConfigResponse)
def update_editor_cover(
template_id: str,
body: CoverUpdateRequest,
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
_: AuthenticatedUser = Depends(get_current_user),
) -> CoverConfigResponse:
"""更新草稿封面配置"""
_, plan_svc = services
plan = plan_svc.get_plan_or_raise(plan_id)
config = dict(plan.config) if plan.config else {}
current_cover = dict(config.get("cover", {}))
update_data = body.model_dump(exclude_none=True)
current_cover.update(update_data)
config["cover"] = current_cover
normalized = normalize_plan_config(config)
plan_svc.update_plan_config(plan_id, {"cover": normalized["cover"]})
return CoverConfigResponse(
type=current_cover.get("cover_type", "auto"),
image_url=current_cover.get("cover_image_url", ""),
frame_time=current_cover.get("frame_time", 0.0),
)
@router.post("/cover/extract", response_model=CoverGenerateResponse)
def extract_editor_cover(
template_id: str,
body: CoverExtractRequest,
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
current_user: AuthenticatedUser = Depends(get_current_user),
) -> CoverGenerateResponse:
"""从指定片段抽帧生成封面"""
_, plan_svc = services
plan = plan_svc.get_plan_or_raise(plan_id)
clip = plan_svc.get_clip(body.clip_id)
if not clip or clip.plan_id != plan_id:
raise HTTPException(status_code=400, detail="片段不存在或不属于当前草稿")
cover_url = f"cover/extract/{plan_id}_{body.clip_id}_{body.frame_time}.jpg"
config = dict(plan.config) if plan.config else {}
cover_config = dict(config.get("cover", {}))
cover_config.update(
{
"cover_type": "extract",
"cover_image_url": cover_url,
"clip_id": body.clip_id,
"frame_time": body.frame_time,
}
)
config["cover"] = cover_config
normalized = normalize_plan_config(config)
plan_svc.update_plan_config(plan_id, {"cover": normalized["cover"]})
logger.info(
"模板编辑器封面抽帧: template_id=%s plan_id=%s clip_id=%s by user=%s",
template_id,
plan_id,
body.clip_id,
current_user.user.id,
)
return CoverGenerateResponse(
type="extract",
image_url=cover_url,
frame_time=body.frame_time,
)
@router.post("/cover/smart", response_model=CoverGenerateResponse)
def smart_editor_cover(
template_id: str,
body: CoverSmartRequest,
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
current_user: AuthenticatedUser = Depends(get_current_user),
) -> CoverGenerateResponse:
"""智能选帧生成封面"""
_, plan_svc = services
plan = plan_svc.get_plan_or_raise(plan_id)
cover_url = f"cover/smart/{plan_id}_smart.jpg"
strategy = getattr(body, "strategy", "auto")
config = dict(plan.config) if plan.config else {}
cover_config = dict(config.get("cover", {}))
cover_config.update(
{
"cover_type": "smart",
"cover_image_url": cover_url,
"strategy": strategy,
}
)
config["cover"] = cover_config
normalized = normalize_plan_config(config)
plan_svc.update_plan_config(plan_id, {"cover": normalized["cover"]})
logger.info(
"模板编辑器智能封面: template_id=%s plan_id=%s strategy=%s by user=%s",
template_id,
plan_id,
strategy,
current_user.user.id,
)
return CoverGenerateResponse(
type="smart",
image_url=cover_url,
frame_time=None,
)
@router.post("/generate-cover", response_model=GenerateCoverResponse)
def editor_generate_cover(
template_id: str,
body: GenerateCoverRequest,
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
current_user: AuthenticatedUser = Depends(get_current_user),
) -> GenerateCoverResponse:
"""AI 生成封面"""
_, plan_svc = services
plan = plan_svc.get_plan_or_raise(plan_id)
from packages.shared.ai_service import run_generate_cover
cover_data = run_generate_cover(
plan_id=plan_id,
asset_ids=body.asset_ids,
cover_type=body.cover_type,
frame_time=body.frame_time,
)
current_config = dict(plan.config) if plan.config else {}
current_config["cover"] = cover_data
normalized = normalize_plan_config(current_config)
plan_svc.update_plan_config(plan_id, {"cover": normalized["cover"]})
logger.info(
"模板编辑器封面生成: template_id=%s plan_id=%s type=%s by user=%s",
template_id,
plan_id,
body.cover_type,
current_user.user.id,
)
return GenerateCoverResponse(plan_id=plan_id, cover=cover_data)
@@ -8,9 +8,8 @@
from __future__ import annotations
import json
import logging
from typing import Any, Optional
from typing import Any
from app.auth import AuthenticatedUser, get_current_user
from app.core.celery_app import celery_app
@@ -19,7 +18,6 @@ from app.dependencies import (
get_asset_library_repository,
get_asset_repository,
get_db_session,
get_generated_video_repository,
)
from app.schemas.generation_task import GenerationTaskResponse
from app.services.edit_plan_service import EditPlanService
@@ -30,7 +28,6 @@ from sqlalchemy.orm import Session
from packages.adapters.sqlalchemy_impl.generation_task_repository import (
SQLAlchemyGenerationTaskRepository,
)
from packages.application.generated_videos import ListGeneratedVideosByTaskUseCase
from packages.application.generation_tasks import (
CreateGenerationTaskCommand,
CreateGenerationTaskUseCase,
@@ -46,7 +43,6 @@ from ._fallback import (
from .dependencies import _check_queue_limits, get_draft_plan_id, get_editor_services
from .schemas import (
ClipStatusItem,
EditPlanGenerateRequest,
EditPlanGenerateResponse,
EditPlanGenerationsResponse,
EditPlanGenerationStatusResponse,
@@ -59,7 +55,6 @@ router = APIRouter(tags=["Template Editor"])
@router.post("/generate", response_model=EditPlanGenerateResponse)
def generate_editor_draft(
template_id: str,
request: Optional[EditPlanGenerateRequest] = None,
plan_id: str = Depends(get_draft_plan_id),
services: tuple[EditTemplateService, EditPlanService] = Depends(get_editor_services),
db: Session = Depends(get_db_session),
@@ -68,7 +63,6 @@ def generate_editor_draft(
asset_repo: Any = Depends(get_asset_repository),
) -> EditPlanGenerateResponse:
"""触发模板草稿渲染生成"""
req = request or EditPlanGenerateRequest()
_, plan_svc = services
plan_check = plan_svc.get_plan_or_raise(plan_id)
@@ -77,111 +71,31 @@ def generate_editor_draft(
_auto_fallback_copy_template_clips(plan_svc, plan_id, plan_check, db)
clips_without_asset = _auto_fallback_assign_assets(plan_svc, plan_id, plan_check)
_auto_fallback_auto_material_mode(
plan_svc,
plan_id,
plan_check,
clips_without_asset,
asset_library_repo,
asset_repo,
user_id=str(current_user.user.id),
plan_svc, plan_id, plan_check, clips_without_asset, asset_library_repo, asset_repo
)
# 检查是否可复用已完成的预览产物(预览品质已与正式一致)
gen_task_repo = SQLAlchemyGenerationTaskRepository(db)
reusable_task = _find_reusable_preview_task(gen_task_repo, plan_id, plan_check)
if reusable_task:
# 复用预览产物:标记为正式产出,跳过渲染
# 如果前端传了 title_config,需要创建新任务(因为预览任务的 custom_title 可能不同)
title_config_reuse = req.title_config or {}
title_text_reuse = (title_config_reuse.get("text") or "").strip()
existing_custom_title = getattr(reusable_task, "custom_title", "") or ""
if title_text_reuse and existing_custom_title:
# 如果新标题和已有标题不同,不能复用,走新建任务流程
new_title_json = json.dumps(title_config_reuse, ensure_ascii=False)
if new_title_json != existing_custom_title:
logger.info(
"[模板生成] 标题已变更,跳过复用: task_id=%s",
reusable_task.id,
)
reusable_task = None
elif title_text_reuse and not existing_custom_title:
# 原来没标题,现在有标题,不能复用
logger.info(
"[模板生成] 新增标题,跳过复用: task_id=%s",
reusable_task.id,
)
reusable_task = None
elif not title_text_reuse and existing_custom_title:
# 原来有标题,现在移除了,不能复用
logger.info(
"[模板生成] 移除标题,跳过复用: task_id=%s",
reusable_task.id,
)
reusable_task = None
if reusable_task:
# 复用预览产物:标记为正式产出,跳过渲染
reusable_task.mark_confirmed()
gen_task_repo.update(reusable_task)
# 将产物 URL 写入 plan config
rendered_url = _get_task_output_url(reusable_task, gen_task_repo, db)
plan_svc.update_plan_config(
plan_id,
{
"generation_task_id": reusable_task.id,
"rendered_storage_key": rendered_url, # 统一用 rendered_storage_key
},
)
plan_svc.transition_status(plan_id, EditPlanStatus.COMPLETED)
updated_plan = plan_svc.get_plan_or_raise(plan_id)
logger.info(
"模板编辑器复用预览产物: template_id=%s plan_id=%s task_id=%s by user=%s",
template_id,
plan_id,
reusable_task.id,
current_user.user.id,
)
return EditPlanGenerateResponse(
plan_id=plan_id,
plan_status=updated_plan.status.value if hasattr(updated_plan.status, "value") else updated_plan.status,
generation_task_id=reusable_task.id,
clip_count=len((plan_check.config or {}).get("clips", [])),
)
# 检查是否可生成(含最后防线自动修复 + 诊断日志)
# 检查是否可生成
try:
can_gen, reason = plan_svc.can_generate(plan_id)
except ValueError as exc:
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(exc)) from exc
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND, detail=str(exc)
) from exc
if not can_gen:
raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=reason)
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST, detail=reason
)
try:
clip_count = plan_svc.mark_clips_ready(plan_id)
gen_task_repo = SQLAlchemyGenerationTaskRepository(db)
user_id = current_user.user.id
_check_queue_limits(gen_task_repo, user_id)
gen_task_use_case = CreateGenerationTaskUseCase(gen_task_repo)
plan = plan_svc.get_plan_or_raise(plan_id)
config_asset_ids = (plan.config or {}).get("asset_ids", [])
# 从 plan config 读取封面 URL(由 generate-cover 保存)
cover_url_from_config = (plan.config or {}).get("cover", {}).get("image_url", "")
# 处理标题配置:序列化 title_config 为 JSON 存入 custom_title
title_config = req.title_config or {}
title_text = (title_config.get("text") or "").strip()
custom_title_value = ""
if title_text:
custom_title_value = json.dumps(title_config, ensure_ascii=False)
logger.info(
"[模板生成] 标题配置: text=%s, config_keys=%s",
title_text[:30],
list(title_config.keys()),
)
gen_task = gen_task_use_case.execute(
CreateGenerationTaskCommand(
project_id=plan.project_id or "",
@@ -189,8 +103,6 @@ def generate_editor_draft(
created_by_user_id=current_user.user.id,
source_edit_plan_id=plan_id,
asset_ids=list(config_asset_ids) if config_asset_ids else [],
cover_url=cover_url_from_config,
custom_title=custom_title_value,
),
)
@@ -211,7 +123,9 @@ def generate_editor_draft(
return EditPlanGenerateResponse(
plan_id=plan_id,
plan_status=updated_plan.status.value if hasattr(updated_plan.status, "value") else updated_plan.status,
plan_status=updated_plan.status.value
if hasattr(updated_plan.status, "value")
else updated_plan.status,
generation_task_id=gen_task.id,
clip_count=clip_count,
)
@@ -233,58 +147,6 @@ def generate_editor_draft(
) from _e
def _find_reusable_preview_task(gen_task_repo, plan_id: str, plan) -> "object | None":
"""查找该 plan 关联的已完成预览任务,判断是否可复用。
复用条件:
1. 存在 source_edit_plan_id == plan_id 的已完成预览任务
2. plan 在预览完成后未被修改(updated_at <= 预览完成时间)
Returns:
可复用的 GenerationTask,或 None
"""
try:
tasks = gen_task_repo.list_by_source_edit_plan(plan_id)
except Exception:
return None
for task in tasks:
if not getattr(task, "is_preview", False):
continue
if not task.is_completed:
continue
# 检查 plan 是否在预览完成后被修改
completed_at = getattr(task, "completed_at", None)
if completed_at and hasattr(plan, "updated_at"):
plan_updated = plan.updated_at
# 如果 plan.updated_at 为空,无法判断是否修改过,跳过
if plan_updated is None:
continue
# 如果 plan 在预览完成后又被修改了,不能复用
if plan_updated > completed_at:
continue
return task
return None
def _get_task_output_url(task, gen_task_repo, db) -> str:
"""获取任务的输出视频 URL。"""
try:
video_repo = get_generated_video_repository(db)
use_case = ListGeneratedVideosByTaskUseCase(video_repo)
videos = use_case.execute(task.id)
if videos:
url = getattr(videos[0], "file_url", "") or ""
# 规范化:合并路径中的双斜杠(保留协议头 ://)
if url:
import re as _re
url = _re.sub(r"(?<!:)//", "/", url)
return url
except Exception:
pass
return ""
@router.get("/generation-status", response_model=EditPlanGenerationStatusResponse)
def get_editor_generation_status(
template_id: str,
@@ -298,7 +160,9 @@ def get_editor_generation_status(
try:
gen_status = plan_svc.get_generation_status(plan_id)
except ValueError as exc:
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(exc)) from exc
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND, detail=str(exc)
) from exc
plan = gen_status["plan"]
clips = gen_status["clips"]
@@ -316,22 +180,25 @@ def get_editor_generation_status(
for c in clips
]
raw_video_url = (plan.config or {}).get("rendered_storage_key", "") or (plan.config or {}).get("rendered_url", "")
raw_video_url = (plan.config or {}).get("rendered_url", "")
video_url = ""
if raw_video_url:
if raw_video_url.startswith("http"):
video_url = raw_video_url # 已经是完整 URL
else:
try:
video_url = storage_service.get_url(raw_video_url) # storage_key -> 完整 URL
except Exception as e:
logger.warning("生成视频URL获取失败: template_id=%s error=%s", template_id, e)
video_url = raw_video_url
try:
video_url = storage_service.get_download_url(
raw_video_url, expires_seconds=86400
)
except Exception as e:
logger.warning(
"生成视频签名URL失败: template_id=%s error=%s", template_id, e
)
video_url = raw_video_url
progress = gen_status.get("progress", 0.0)
error_message = gen_status.get("error_message", "")
gen_task_status = gen_status.get("generation_task_status")
plan_status_val = plan.status.value if hasattr(plan.status, "value") else plan.status
plan_status_val = (
plan.status.value if hasattr(plan.status, "value") else plan.status
)
if plan_status_val == "completed" and progress < 100:
progress = 100.0
@@ -6,7 +6,7 @@
from __future__ import annotations
import re as _re
from typing import Any, Dict, List, Optional
from typing import Any, List, Optional
from app.schemas.generation_task import GenerationTaskResponse
from pydantic import BaseModel, Field, validator
@@ -44,14 +44,6 @@ class EditPlanGenerationStatusResponse(BaseModel):
clips: List[ClipStatusItem]
class EditPlanGenerateRequest(BaseModel):
"""模板编辑器触发生成请求体"""
title_config: Optional[Dict[str, Any]] = Field(
default_factory=dict,
description="标题配置(可选),渲染时烧录到视频中。支持字段: text/font/font_size/font_color/position/bold/stroke/shadow",
)
class EditPlanGenerateResponse(BaseModel):
"""剪辑计划触发生成响应体"""
@@ -107,6 +99,29 @@ class AIRecommendResponse(BaseModel):
confidence: float = Field(..., ge=0.0, le=1.0, description="AI 推荐置信度 (0~1)")
# ── 封面生成 ────────────────────────────────────────────────────────────────
class GenerateCoverRequest(BaseModel):
"""AI 封面生成请求体"""
asset_ids: List[str] = Field(default_factory=list, description="素材 ID 列表(确定视频来源)")
cover_type: str = Field(
default="ai_frame",
description="封面类型: ai_frame / manual / upload / ai_regenerate",
)
frame_time: Optional[float] = Field(
default=None,
ge=0.0,
description="手动选帧时间点(秒),仅 cover_type=manual 时有效",
)
class GenerateCoverResponse(BaseModel):
"""AI 封面生成响应体"""
plan_id: str = Field(..., description="剪辑计划 ID")
cover: dict[str, Any] = Field(..., description="封面数据(type / image_url / frame_time 等)")
# ── BGM ────────────────────────────────────────────────────────────────────
@@ -235,7 +250,6 @@ class ClipsFromAssetsResponse(BaseModel):
success: bool = True
created_count: int
plan_id: str = ""
message: str = ""
clip_ids: List[str] = Field(default_factory=list, description="创建的片段ID列表")
@@ -243,6 +257,43 @@ class ClipsFromAssetsResponse(BaseModel):
# ── 封面配置 ────────────────────────────────────────────────────────────────
class CoverConfigResponse(BaseModel):
"""封面配置响应"""
type: str = Field(..., description="封面类型: ai_frame / manual / upload")
image_url: str = Field(default="", description="封面图片 URL")
frame_time: Optional[float] = Field(default=None, description="抽帧时间点(秒)")
class CoverUpdateRequest(BaseModel):
"""更新封面配置请求"""
type: Optional[str] = Field(default=None, description="封面类型")
image_url: Optional[str] = Field(default=None, description="封面图片 URL")
frame_time: Optional[float] = Field(default=None, ge=0.0, description="抽帧时间点(秒)")
class CoverExtractRequest(BaseModel):
"""从片段抽帧生成封面请求"""
clip_id: str = Field(..., description="片段 ID")
frame_time: float = Field(1.0, ge=0.0, description="抽帧时间点(秒)")
class CoverSmartRequest(BaseModel):
"""智能选帧请求"""
clip_id: Optional[str] = Field(default=None, description="指定片段 ID(不传则用第一个视频片段)")
class CoverGenerateResponse(BaseModel):
"""封面生成响应"""
type: str = Field(..., description="封面类型")
image_url: str = Field(..., description="封面图片 URL")
frame_time: Optional[float] = Field(default=None, description="抽帧时间点(秒)")
# ── 导出配置 ────────────────────────────────────────────────────────────────
@@ -448,28 +499,17 @@ class EditorUpdateRequest(BaseModel):
class EditorClipResponse(BaseModel):
"""片段响应 — 与数据库 edit_plan_clips 表字段对齐"""
"""片段响应"""
id: str
plan_id: str
clip_type: str
order: int
duration: float
start_time: float = 0.0
text_content: str = ""
transition_effect: str = "cut"
transition_duration: float = 0.0
playback_speed: float = 1.0
asset_id: str = ""
asset_url: str | None = Field(
default=None,
description="素材视频签名URL(1小时有效),用于前端预览播放",
)
status: str = "pending"
template_clip_config_id: str = ""
config: dict[str, Any] = Field(default_factory=dict)
created_at: str = ""
updated_at: str = ""
class EditorClipListResponse(BaseModel):
+1 -2
View File
@@ -206,7 +206,6 @@ async def complete_direct_upload(
ingest_job_id="",
duplicated=True,
asset_id=existing.id,
url=storage_service.get_url(normalized_key),
)
job = _submit_ingest_job(
@@ -216,7 +215,7 @@ async def complete_direct_upload(
ingest_job_repository=ingest_job_repository,
file_hash=request.file_hash,
)
return DirectUploadCompleteResponse(storage_key=normalized_key, ingest_job_id=job.id, url=storage_service.get_url(normalized_key))
return DirectUploadCompleteResponse(storage_key=normalized_key, ingest_job_id=job.id)
@router.post(
+1 -84
View File
@@ -11,7 +11,6 @@ from app.dependencies import get_cosyvoice_service, get_voice_clone_profile_repo
from app.schemas.voice_clone import (
CreateVoiceCloneRequest,
ListVoiceCloneResponse,
VoiceClonePreviewResponse,
VoiceCloneProfileResponse,
VoiceCloneStatusResponse,
)
@@ -20,7 +19,7 @@ from fastapi import APIRouter, Depends, HTTPException, Query, Response, status
from packages.adapters.sqlalchemy_impl.voice_clone_profile_repository import (
SQLAlchemyVoiceCloneProfileRepository,
)
from packages.application.cosyvoice_service import CosyVoiceError, CosyVoiceService
from packages.application.cosyvoice_service import CosyVoiceService
from packages.application.voice_clone.use_cases import (
DeleteVoiceCloneUseCase,
GetVoiceCloneStatusUseCase,
@@ -37,13 +36,6 @@ logger = logging.getLogger(__name__)
router = APIRouter()
# 克隆音色试听缓存(减少重复TTS调用)
# key: clone_id, value: (audio_url, duration, file_size, text, timestamp)
_clone_preview_cache: dict[str, tuple[str, float, int, str, float]] = {}
CLONE_PREVIEW_CACHE_TTL = 7 * 24 * 3600 # 7天TTL
# 默认试听文本
CLONE_PREVIEW_TEMPLATE = "你好,这是我的克隆音色,很高兴能为你配音。"
def _to_response(profile) -> VoiceCloneProfileResponse:
# source_audio_url 是用户传入的原始 URL(可能是外部地址),不做预签名转换
@@ -231,78 +223,3 @@ def retry_voice_clone(
logger.error(f"Failed to mark profile as failed after dispatch error: {inner_e}")
return _to_response(profile)
@router.get("/{clone_id}/preview", response_model=VoiceClonePreviewResponse)
def get_voice_clone_preview(
clone_id: str,
text: str = Query("", description="自定义试听文本,为空则使用默认示例"),
authenticated_user: AuthenticatedUser = Depends(get_current_user),
repository: SQLAlchemyVoiceCloneProfileRepository = Depends(get_voice_clone_profile_repository),
cosyvoice: CosyVoiceService = Depends(get_cosyvoice_service),
) -> VoiceClonePreviewResponse:
"""获取克隆音色试听音频(实时 TTS 合成)。
- 克隆音色必须处于 ready 状态
- 使用默认试听文本时,结果缓存 7 天
- 可传入自定义 text 参数试听不同文本
"""
import time
use_case = GetVoiceCloneUseCase(repository)
try:
profile = use_case.execute(clone_id, authenticated_user.user.id)
except VoiceCloneNotFoundError as _e:
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Voice clone not found") from _e
if not profile.is_ready:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail=f"Voice clone is not ready (current status: {profile.status})",
)
# 有自定义文本时不缓存
use_cache = not text.strip()
if use_cache and clone_id in _clone_preview_cache:
audio_url, duration, file_size, cached_text, cached_at = _clone_preview_cache[clone_id]
if time.time() - cached_at < CLONE_PREVIEW_CACHE_TTL:
return VoiceClonePreviewResponse(
clone_id=clone_id,
voice_id=profile.voice_id,
audio_url=audio_url,
text=cached_text,
duration=duration,
file_size=file_size,
)
# 合成试听音频
preview_text = text.strip() or CLONE_PREVIEW_TEMPLATE
try:
result = cosyvoice.synthesize_speech(
text=preview_text,
voice_id=profile.voice_id,
format="mp3",
speed=1.0,
)
except CosyVoiceError as e:
raise HTTPException(status_code=502, detail=f"TTS 合成失败: {e}") from e
# 缓存(仅默认试听文本)
if use_cache:
_clone_preview_cache[clone_id] = (
result.audio_url,
result.duration,
result.file_size,
preview_text,
time.time(),
)
return VoiceClonePreviewResponse(
clone_id=clone_id,
voice_id=profile.voice_id,
audio_url=result.audio_url,
text=preview_text,
duration=result.duration,
file_size=result.file_size,
)
+16 -129
View File
@@ -5,8 +5,6 @@
from __future__ import annotations
import logging
import time
from typing import Literal, Optional
from app.api.routes._helpers import get_user_plan
@@ -44,7 +42,6 @@ from packages.domain.preset_voices import PRESET_VOICES, get_preset_voice_by_id
from packages.ports.user_repository import UserRepository
router = APIRouter()
logger = logging.getLogger(__name__)
# 预置音色试听音频缓存(内存缓存,减少重复TTS调用)
# key: voice_id, value: (audio_url, timestamp)
@@ -54,65 +51,6 @@ PREVIEW_CACHE_TTL = 7 * 24 * 3600 # 7天TTL
PREVIEW_TEMPLATE = "你好,我是{name},很高兴认识你。"
def _resolve_preset_preview_url(
voice_id: str,
fallback_url: str,
cosyvoice: CosyVoiceService,
) -> str:
"""为预置音色获取有效的 preview_url.
优先从内存缓存读取;缓存失效时调用 CosyVoice 重新合成;
合成失败时降级返回硬编码 URL(可能已过期,但不会报错)。
"""
# 检查缓存
if voice_id in _preset_preview_cache:
audio_url, cached_at = _preset_preview_cache[voice_id]
if time.time() - cached_at < PREVIEW_CACHE_TTL:
return audio_url
# 缓存失效,调用 CosyVoice 合成
preset = get_preset_voice_by_id(voice_id)
if preset is None:
return fallback_url
preview_text = PREVIEW_TEMPLATE.format(name=preset.name)
try:
result = cosyvoice.synthesize_speech(
text=preview_text,
voice_id=voice_id,
format="mp3",
speed=1.0,
)
audio_url = result.audio_url
_preset_preview_cache[voice_id] = (audio_url, time.time())
logger.info("Preset voice preview generated: %s", voice_id)
return audio_url
except Exception as e:
logger.warning("Failed to generate preview for %s, using fallback: %s", voice_id, e)
return fallback_url
def _resolve_all_preset_preview_urls(
presets: list,
cosyvoice: CosyVoiceService,
) -> dict[str, str]:
"""顺序解析所有预置音色的 preview_url.
采用顺序调用(而非并行)以避免触发 DashScope API 速率限制。
首次调用后结果缓存 7 天,后续请求直接命中缓存。
Returns:
voice_id -> preview_url 映射
"""
result_map: dict[str, str] = {}
for p in presets:
try:
result_map[p.voice_id] = _resolve_preset_preview_url(p.voice_id, p.preview_url, cosyvoice)
except Exception:
result_map[p.voice_id] = p.preview_url
return result_map
def _get_voice_repository(session: Session = Depends(get_db_session)) -> SQLAlchemyVoiceLibraryRepository:
return SQLAlchemyVoiceLibraryRepository(session)
@@ -180,16 +118,8 @@ def _to_unified_response(item, profile_id_map: dict | None = None, sign_url=None
)
def _preset_to_unified_response(preset, preview_url_map: dict[str, str] | None = None) -> UnifiedVoiceItemResponse:
"""将预置音色转换为统一响应格式。
Args:
preset: 预置音色对象
preview_url_map: voice_id -> preview_url 动态映射,优先使用
"""
preview_url = preset.preview_url
if preview_url_map and preset.voice_id in preview_url_map:
preview_url = preview_url_map[preset.voice_id]
def _preset_to_unified_response(preset) -> UnifiedVoiceItemResponse:
"""将预置音色转换为统一响应格式。"""
return UnifiedVoiceItemResponse(
id=preset.voice_id,
type="preset",
@@ -199,40 +129,11 @@ def _preset_to_unified_response(preset, preview_url_map: dict[str, str] | None =
language=preset.language,
voice_id=preset.voice_id,
voice_provider="cosyvoice",
preview_url=preview_url,
preview_url=preset.preview_url,
tags=preset.tags or [],
)
def _clone_profile_to_unified_response(profile) -> UnifiedVoiceItemResponse:
"""将克隆音色档案转换为统一响应格式。
注意:克隆音色是「音色模型」(可用于 TTS 合成任意文本),
不同于配音库条目(具体的配音作品)。
"""
return UnifiedVoiceItemResponse(
id=profile.id,
type="clone",
name=profile.name,
description=profile.description or "",
gender=profile.gender or "unknown",
language=profile.language or "zh-CN",
voice_id=profile.voice_id or "",
voice_provider=profile.voice_model or "cosyvoice",
audio_url="", # 克隆音色没有预合成音频,需通过 /voice-clones/{id}/preview 试听
preview_url="", # 试听需实时合成,前端调用 preview 接口
duration=0,
file_size=0,
status=profile.status.value if hasattr(profile.status, "value") else str(profile.status),
tags=[],
user_id=profile.user_id,
project_id=None,
voice_clone_profile_id=profile.id,
created_at=profile.created_at,
updated_at=profile.updated_at,
)
# ==================== 统一配音列表(预置 + 克隆)====================
@@ -249,7 +150,6 @@ def list_voices_unified(
voice_repository: SQLAlchemyVoiceLibraryRepository = Depends(_get_voice_repository),
clone_profile_repository: SQLAlchemyVoiceCloneProfileRepository = Depends(_get_clone_profile_repository),
sign_url=Depends(get_audio_url_signer),
cosyvoice: CosyVoiceService = Depends(get_cosyvoice_service),
) -> UnifiedVoiceListResponse:
"""获取配音列表(预置音色 + 用户克隆音色)。
@@ -265,30 +165,19 @@ def list_voices_unified(
has_preset = type is None or type == "preset"
has_clone = type is None or type == "clone"
# 获取预置音色(动态生成 preview_url
# 获取预置音色
if has_preset:
preview_url_map = _resolve_all_preset_preview_urls(PRESET_VOICES, cosyvoice)
preset_items = [_preset_to_unified_response(p, preview_url_map) for p in PRESET_VOICES]
preset_items = [_preset_to_unified_response(p) for p in PRESET_VOICES]
preset_count = len(preset_items)
# 获取克隆音色(从 voice_clone_profile 读取,ready 状态的克隆音色)
# 获取克隆音色
if has_clone:
# status_filter 映射:不传则默认只返回 ready 状态(可用的克隆音色)
# 前端可以传 status=all 获取所有状态,或传具体状态过滤
filter_status = None
if status_filter and status_filter != "all":
filter_status = status_filter
elif not status_filter:
filter_status = "ready"
clone_profiles = clone_profile_repository.list_by_user(
user_id,
status=filter_status,
limit=limit,
offset=skip,
)
clone_count = clone_profile_repository.count_by_user(user_id, status=filter_status)
clone_items = [_clone_profile_to_unified_response(p) for p in clone_profiles]
use_case = ListVoiceLibraryUseCase(voice_repository)
clone_items_raw, clone_count = use_case.execute(user_id, status=status_filter, skip=skip, limit=limit)
# 批量查询 voice_id → profile_id 映射,填充 voice_clone_profile_id
voice_ids = [i.voice_id for i in clone_items_raw if i.voice_id]
profile_id_map = clone_profile_repository.find_profile_ids_by_voice_ids(voice_ids) if voice_ids else {}
clone_items = [_to_unified_response(i, profile_id_map, sign_url) for i in clone_items_raw]
# 组装结果
if type == "preset":
@@ -315,15 +204,11 @@ def list_voices_unified(
@router.get("/presets", response_model=PresetVoiceListResponse)
def list_preset_voices(
cosyvoice: CosyVoiceService = Depends(get_cosyvoice_service),
) -> PresetVoiceListResponse:
def list_preset_voices() -> PresetVoiceListResponse:
"""获取预置音色列表。
不需要认证,返回所有系统预置的 CosyVoice 音色。
preview_url 通过 CosyVoice 动态生成,不依赖硬编码的过期 URL。
"""
preview_url_map = _resolve_all_preset_preview_urls(PRESET_VOICES, cosyvoice)
items = [
PresetVoiceItemResponse(
voice_id=p.voice_id,
@@ -331,7 +216,7 @@ def list_preset_voices(
description=p.description,
gender=p.gender,
language=p.language,
preview_url=preview_url_map.get(p.voice_id, p.preview_url),
preview_url=p.preview_url,
tags=p.tags or [],
)
for p in PRESET_VOICES
@@ -351,6 +236,8 @@ def get_preset_voice_preview(
- 相同 voice_id 重复调用直接返回缓存的音频URL
- 可传入自定义 text 参数试听不同文本
"""
import time
preset = get_preset_voice_by_id(voice_id)
if preset is None:
raise HTTPException(status_code=404, detail=f"预置音色不存在: {voice_id}")
-10
View File
@@ -22,9 +22,6 @@ from packages.adapters.sqlalchemy_impl.asset_repository import SQLAlchemyAssetRe
from packages.adapters.sqlalchemy_impl.classification_job_repository import (
SQLAlchemyClassificationJobRepository,
)
from packages.adapters.sqlalchemy_impl.cover_template_repository import (
SQLAlchemyCoverTemplateRepository,
)
from packages.adapters.sqlalchemy_impl.duplication_repository import (
SQLAlchemyDuplicationRecordRepository,
)
@@ -131,13 +128,6 @@ def get_project_repository(
return SQLAlchemyProjectRepository(session)
def get_cover_template_repository(
session: Session = Depends(get_db_session),
) -> SQLAlchemyCoverTemplateRepository:
"""Provide the SQLAlchemy cover template repository implementation."""
return SQLAlchemyCoverTemplateRepository(session)
def get_tag_repository(
session: Session = Depends(get_db_session),
) -> TagRepository:
+1 -34
View File
@@ -2,7 +2,7 @@ from pydantic import BaseModel, Field
class CreateAssetRequest(BaseModel):
project_id: str | None = Field(default=None, description="可选,不传时从 library.project_id 自动推导")
project_id: str = Field(..., min_length=1)
library_id: str = Field(..., min_length=1)
name: str = Field(..., min_length=1, max_length=100)
storage_key: str = Field(..., min_length=1, max_length=255)
@@ -58,12 +58,6 @@ class AssetResponse(BaseModel):
MAX_BATCH_SIZE = 200
class BatchGetRequest(BaseModel):
"""批量获取素材详情请求。"""
ids: list[str] = Field(..., min_length=1, max_length=MAX_BATCH_SIZE, description="素材 ID 列表")
class BatchDeleteRequest(BaseModel):
"""批量删除请求(软删除)。"""
@@ -107,30 +101,3 @@ class ListAssetsResponse(BaseModel):
total: int = Field(default=0, ge=0)
skip: int = Field(default=0, ge=0)
limit: int = Field(default=100, ge=1)
class SmartMatchRequest(BaseModel):
"""智能选素材请求。"""
library_id: str = Field(..., min_length=1, description="素材库 ID")
limit: int | None = Field(default=None, ge=1, le=200, description="最大返回数量,不传则返回全部匹配素材")
kind: str | None = Field(
default=None,
pattern="^(video|image|audio)$",
description="按文件类型过滤,不传则返回所有类型",
)
class SmartMatchItem(BaseModel):
"""智能选素材结果条目。"""
asset: AssetResponse
score: float = Field(..., ge=0, le=100, description="综合得分 0-100")
breakdown: dict[str, float] = Field(default_factory=dict, description="各维度得分明细")
class SmartMatchResponse(BaseModel):
"""智能选素材响应。"""
items: list[SmartMatchItem]
total_candidates: int = Field(default=0, ge=0, description="参与评分的候选素材总数")
-54
View File
@@ -1,54 +0,0 @@
"""封面模板 Schema。"""
from datetime import datetime
from typing import Any
from pydantic import BaseModel, Field
class CoverTemplateConfig(BaseModel):
"""封面模板配置。"""
background_enabled: bool = Field(default=True, description="是否启用背景")
background_color: str = Field(default="#000000", description="背景颜色")
portrait_enabled: bool = Field(default=True, description="是否显示人像")
title_text: str = Field(default="", description="主标题文字")
subtitle_text: str = Field(default="", description="副标题文字")
mask_enabled: bool = Field(default=False, description="是否启用蒙版")
class CreateCoverTemplateRequest(BaseModel):
"""创建封面模板请求。"""
name: str = Field(..., min_length=1, max_length=200, description="模板名称")
thumbnail_url: str = Field(default="", description="缩略图 URL")
config: CoverTemplateConfig | None = Field(default=None, description="模板配置")
class UpdateCoverTemplateRequest(BaseModel):
"""更新封面模板请求。"""
name: str | None = Field(default=None, min_length=1, max_length=200, description="模板名称")
thumbnail_url: str | None = Field(default=None, description="缩略图 URL")
config: CoverTemplateConfig | None = Field(default=None, description="模板配置")
class CoverTemplateResponse(BaseModel):
"""封面模板响应。"""
id: str
name: str
thumbnail_url: str
is_system: bool
created_at: datetime
config: dict[str, Any] = Field(default_factory=dict)
class Config:
from_attributes = True
class ListCoverTemplatesResponse(BaseModel):
"""封面模板列表响应。"""
items: list[CoverTemplateResponse]
total: int = Field(default=0, ge=0)
-99
View File
@@ -1,18 +1,8 @@
import json
from datetime import datetime
from pydantic import BaseModel, Field, field_validator, model_validator
class ConfirmGenerationRequest(BaseModel):
"""确认生成请求体 — 基于预览任务创建正式生成任务"""
output_width: int = Field(default=1080, ge=100, description="输出视频宽度")
output_height: int = Field(default=1920, ge=100, description="输出视频高度")
cover_url: str = Field(default="", description="自定义封面图片 URL")
custom_title: str = Field(default="", description="自定义视频标题")
class CreateGenerationTaskRequest(BaseModel):
"""创建生成任务请求。
@@ -66,13 +56,6 @@ class CreateGenerationTaskRequest(BaseModel):
default_factory=dict,
description="自定义BGM配置,覆盖模板BGM设置。支持 enabled/source/asset_id/preset_id/audio_url/volume 等字段",
)
# ── 预览 / 确认生成 ──
is_preview: bool = Field(default=False, description="是否为预览任务")
source_task_id: str = Field(default="", description="来源预览任务 ID(确认生成时传入)")
output_width: int = Field(default=1280, description="输出视频宽度")
output_height: int = Field(default=720, description="输出视频高度")
cover_url: str = Field(default="", description="封面图片 URL")
custom_title: str = Field(default="", description="自定义视频标题")
@model_validator(mode="after")
def _check_at_least_one_mode(self) -> "CreateGenerationTaskRequest":
@@ -103,12 +86,6 @@ class GenerationTaskResponse(BaseModel):
video_title: str = ""
resolution: str = ""
bgm_config: dict = Field(default_factory=dict)
is_preview: bool = False
source_task_id: str = ""
output_width: int = 1280
output_height: int = 720
cover_url: str = ""
custom_title: str = ""
status: str
progress: float
result_count: int
@@ -145,79 +122,3 @@ class ListGenerationTasksResponse(BaseModel):
"""用户级生成任务列表响应(跨 project)。"""
items: list[GenerationTaskResponse]
# ── 预览生成(Phase 1) ───────────────────────────────────────────────────────
class CreatePreviewGenerationTaskRequest(BaseModel):
"""创建预览生成任务请求。
仅支持模板模式:template_id + asset_ids 等素材 ID 列表。
预览渲染品质与正式生成一致(1080p, CRF 23, medium preset)。
"""
template_id: str
asset_ids: list[str] = Field(default_factory=list)
title_ids: list[str] = Field(default_factory=list)
voice_ids: list[str] = Field(default_factory=list)
voice_library_id: str = Field(
default="", description="配音素材库ID(用户上传的音频或AI配音),对应配音选择页面选择的配音素材"
)
video_title: str = Field(default="", description="生成视频的标题/名称,为空则使用默认命名")
duration: float = Field(default=0.0, ge=0, description="期望视频时长(秒),0 表示由模板决定")
video_ratio: str = Field(default="", description="视频比例,如 16:9 / 9:16,为空使用模板默认")
bgm_config: dict = Field(
default_factory=dict,
description="自定义BGM配置,覆盖模板BGM设置。支持 enabled/source/asset_id/preset_id/audio_url/volume 等字段",
)
preview_count: int = Field(
default=1,
ge=1,
le=10,
description="预览视频生成数量,范围 1-10,默认 1",
)
source_edit_plan_id: str = Field(
default="",
description="关联的编辑计划ID(可选),用于确认生成时复用预览产物",
)
title_config: dict = Field(
default_factory=dict,
description="标题配置(可选),渲染时烧录到预览视频中。支持字段: text/font/font_size/font_color/position/bold/stroke/shadow",
)
@model_validator(mode="after")
def _check_template_id(self) -> "CreatePreviewGenerationTaskRequest":
if not self.template_id.strip():
raise ValueError("template_id 不能为空")
return self
@model_validator(mode="after")
def _check_asset_ids(self) -> "CreatePreviewGenerationTaskRequest":
if not self.asset_ids and not self.title_ids and not self.voice_ids:
raise ValueError("asset_ids/title_ids/voice_ids 至少需要提供一个")
return self
class PreviewGenerationTaskResponse(BaseModel):
"""预览生成任务响应。
包含任务状态、进度、分辨率、生成结果 URL 等关键字段。
"""
task_id: str
status: str
progress: float
is_preview: bool = True
resolution: str = ""
video_url: str = ""
duration: float = 0.0
file_size: int = 0
clip_count: int = 0
transition_count: int = 0
material_usage: dict = Field(default_factory=dict)
error_message: str = ""
created_at: datetime | None = None
started_at: datetime | None = None
finished_at: datetime | None = None
generate_duration: float = 0.0
-1
View File
@@ -39,7 +39,6 @@ class DirectUploadCompleteResponse(BaseModel):
ingest_job_id: str
duplicated: bool = Field(default=False, description="是否为重复素材(命中去重)")
asset_id: str = Field(default="", description="重复素材的 asset_idduplicated=true 时返回)")
url: str = Field(default="", description="Public URL of uploaded file")
class UploadAssetResponse(BaseModel):
-22
View File
@@ -63,25 +63,3 @@ class ListVoiceCloneResponse(BaseModel):
items: List[VoiceCloneProfileResponse]
total: int
class VoiceClonePreviewResponse(BaseModel):
"""克隆音色试听响应。"""
clone_id: str
"""音色克隆档案 ID"""
voice_id: str
"""CosyVoice 音色 ID"""
audio_url: str
"""试听音频 URL"""
text: str
"""试听文本"""
duration: float = 0.0
"""音频时长(秒)"""
file_size: int = 0
"""文件大小(字节)"""
+200 -12
View File
@@ -12,13 +12,12 @@
from __future__ import annotations
import json
import logging
import math
import random
from typing import Any, Dict, List, Optional
from packages.domain.ai_parsing import generate_titles_fallback as _generate_titles_fallback_base
from packages.domain.ai_parsing import keyword_match_fallback as _semantic_match_fallback_base
from packages.domain.ai_parsing import parse_semantic_match_response as _parse_semantic_match_base
from packages.domain.ai_parsing import parse_titles_from_response as _parse_titles_from_response
from packages.shared.ai_client import get_doubao_client
logger = logging.getLogger(__name__)
@@ -65,9 +64,85 @@ def _generate_titles_fallback(
style: str = "viral",
count: int = 5,
) -> List[str]:
"""本地降级:基于模板规则生成标题(薄包装,转发到 ai_parsing 模块)."""
"""本地降级:基于模板规则生成标题.
当豆包 API 不可用或调用失败时使用,保证接口始终有返回。
"""
style_info = TITLE_STYLES.get(style, TITLE_STYLES["viral"])
return _generate_titles_fallback_base(description, style_info, count)
examples = style_info["examples"]
# 从描述中提取关键词(取前几个词)
keywords = [w for w in description.strip().split() if len(w) > 1][:3]
keyword = keywords[0] if keywords else "精彩内容"
# 基于模板生成
templates = [
f"{keyword}{examples[0][:10]}...",
f"{keyword}{examples[1]}",
f"关于{keyword},你不知道的3件事",
f"{keyword}入门指南,新手必看",
f"深度解析:{keyword}背后的秘密",
f"{keyword}怎么做?手把手教你",
f"干货分享 | {keyword}全攻略",
f"建议收藏:{keyword}实用技巧",
f"{keyword}避坑指南,别再踩雷了",
f"一分钟搞懂{keyword}",
]
random.shuffle(templates)
return templates[: min(count, len(templates))]
def _parse_titles_from_response(content: str) -> List[str]:
"""从模型返回中解析标题列表.
支持多种返回格式:
- JSON 数组: ["标题1", "标题2"]
- 编号列表: 1. 标题1 / 2. 标题2
- 换行分隔: 标题1\n标题2
- 带破折号: - 标题1
"""
if not content:
return []
# 尝试解析 JSON
try:
# 清理可能的 markdown 代码块标记
cleaned = content.strip()
if cleaned.startswith("```"):
cleaned = cleaned.strip("`")
if cleaned.lower().startswith("json"):
cleaned = cleaned[4:]
cleaned = cleaned.strip()
data = json.loads(cleaned)
if isinstance(data, list):
return [str(item).strip() for item in data if str(item).strip()]
if isinstance(data, dict) and "titles" in data:
titles = data["titles"]
if isinstance(titles, list):
return [str(t).strip() for t in titles if str(t).strip()]
except (json.JSONDecodeError, ValueError):
pass
# 尝试按行解析
titles: List[str] = []
for line in content.strip().split("\n"):
line = line.strip()
if not line:
continue
# 去掉编号前缀 "1. " "1、" "1"
import re
line = re.sub(r"^[\d]+[\.、\)]\s*", "", line)
# 去掉破折号前缀 "- " "• "
line = re.sub(r"^[-•·]\s*", "", line)
# 去掉引号
line = line.strip('"').strip("'").strip("「」")
if line and len(line) < 100: # 过滤过长的行
titles.append(line)
return titles
def generate_smart_titles(
@@ -166,19 +241,132 @@ def _semantic_match_fallback(
description: str,
assets: List[Dict[str, Any]],
) -> List[Dict[str, Any]]:
"""本地降级:基于关键词的简单匹配(薄包装,转发到 ai_parsing 模块)."""
return _semantic_match_fallback_base(description, assets)
"""本地降级:基于关键词的简单匹配.
计算描述中的关键词与素材名称/标签/描述的重叠度,
作为匹配度评分。0-1分。
"""
import re
# 提取关键词(中文按2字以上片段,英文按单词)
desc = description.lower()
# 简单分词:提取2字以上的中文字符串和英文单词
keywords = set()
# 英文单词
for word in re.findall(r"[a-zA-Z]{3,}", desc):
keywords.add(word)
# 中文2-4字片段
for i in range(len(desc)):
for j in range(i + 2, min(i + 5, len(desc) + 1)):
fragment = desc[i:j]
if all("\u4e00" <= c <= "\u9fff" for c in fragment):
keywords.add(fragment)
if not keywords:
# 没有关键词时给所有素材中等分数
for asset in assets:
asset["match_score"] = 0.5
asset["match_reason"] = "fallback_default"
return assets
results = []
for asset in assets:
# 组合素材的文本信息:名称 + 标签 + 描述
asset_text_parts = [
str(asset.get("name", "")).lower(),
" ".join(str(t) for t in asset.get("tags", [])).lower(),
str(asset.get("description", "")).lower(),
]
asset_text = " | ".join(asset_text_parts)
# 计算匹配度:命中关键词占比 + 稀有关键词加权
hit_count = 0
hit_keywords = []
for kw in keywords:
if kw in asset_text:
hit_count += 1
hit_keywords.append(kw)
# 基础匹配度 = 命中关键词数 / 总关键词数(开根号平滑)
base_score = math.sqrt(hit_count / len(keywords)) if keywords else 0.5
# 名称命中加分(名称匹配更重要)
name = str(asset.get("name", "")).lower()
name_hits = sum(1 for kw in hit_keywords if kw in name)
name_bonus = min(0.2, name_hits * 0.05)
score = min(1.0, base_score * 0.8 + name_bonus)
score = round(score, 3)
results.append(
{
**asset,
"match_score": score,
"match_reason": "fallback_keyword",
}
)
# 按匹配度降序
results.sort(key=lambda x: x["match_score"], reverse=True)
return results
def _parse_semantic_match_response(
content: str,
asset_ids: List[str],
) -> Optional[Dict[str, float]]:
"""从模型返回中解析素材匹配度(薄包装,转发到 ai_parsing 模块)."""
result = _parse_semantic_match_base(content, asset_ids)
if result is None:
"""从模型返回中解析素材匹配度.
期望格式:JSON 对象 {asset_id: score} 或 {"matches": [{asset_id, score}]}
score 范围 0-1。
"""
if not content:
return None
return dict(result)
# 尝试解析 JSON
try:
cleaned = content.strip()
if cleaned.startswith("```"):
cleaned = cleaned.strip("`")
if cleaned.lower().startswith("json"):
cleaned = cleaned[4:]
cleaned = cleaned.strip()
data = json.loads(cleaned)
result: Dict[str, float] = {}
# 格式1: {"asset_id1": 0.8, "asset_id2": 0.6}
if isinstance(data, dict):
if "matches" in data and isinstance(data["matches"], list):
# 格式2: {"matches": [{"asset_id": "...", "score": 0.8}]}
for item in data["matches"]:
if isinstance(item, dict):
aid = item.get("asset_id") or item.get("id")
score = item.get("score", 0)
if aid and isinstance(score, (int, float)):
result[str(aid)] = max(0.0, min(1.0, float(score)))
else:
for key, value in data.items():
if isinstance(value, (int, float)):
result[str(key)] = max(0.0, min(1.0, float(value)))
# 格式3: [{"asset_id": "...", "score": 0.8}]
elif isinstance(data, list):
for item in data:
if isinstance(item, dict):
aid = item.get("asset_id") or item.get("id")
score = item.get("score", 0)
if aid and isinstance(score, (int, float)):
result[str(aid)] = max(0.0, min(1.0, float(score)))
if len(result) >= max(1, len(asset_ids) // 2): # 至少一半素材有评分才算成功
return result
except (json.JSONDecodeError, ValueError):
pass
return None
def semantic_match_assets(
+276
View File
@@ -0,0 +1,276 @@
"""封面管理服务.
提供封面配置管理和从视频抽帧生成封面的能力。
抽帧使用 FFmpeg,上传使用共享存储服务。
"""
from __future__ import annotations
import logging
import tempfile
from pathlib import Path
from typing import Any, Dict
logger = logging.getLogger(__name__)
# ── 常量 ──────────────────────────────────────────────────────────────────────
DEFAULT_COVER_WIDTH = 1080
DEFAULT_COVER_HEIGHT = 1920
DEFAULT_COVER_QUALITY = 5 # JPEG quality (1-31, 越小越好)
COVER_STORAGE_PREFIX = "covers"
class CoverService:
"""封面管理服务."""
def __init__(self, storage_service: Any, asset_repository: Any) -> None:
self._storage = storage_service
self._asset_repo = asset_repository
# ── 配置读写 ──────────────────────────────────────────────────────────
@staticmethod
def get_cover_config(plan_config: Dict[str, Any]) -> Dict[str, Any]:
"""从 plan.config 中提取封面配置.
Args:
plan_config: 剪辑计划的 config 字段
Returns:
封面配置 dict
"""
cover = plan_config.get("cover", {})
if not isinstance(cover, dict):
cover = {}
# 确保默认字段存在
return {
"type": cover.get("type", "ai_frame"),
"image_url": cover.get("image_url", ""),
"frame_time": cover.get("frame_time"),
}
# ── 抽帧生成封面 ──────────────────────────────────────────────────────
def extract_cover_from_clip(
self,
plan_id: str,
asset_id: str,
frame_time: float = 1.0,
*,
width: int = DEFAULT_COVER_WIDTH,
height: int = DEFAULT_COVER_HEIGHT,
quality: int = DEFAULT_COVER_QUALITY,
) -> Dict[str, Any]:
"""从指定素材的指定时间点抽取一帧作为封面.
Args:
plan_id: 剪辑计划 ID(用于生成存储路径)
asset_id: 素材 ID
frame_time: 抽帧时间点(秒)
width: 输出宽度
height: 输出高度
quality: JPEG 质量
Returns:
封面数据 dict,包含 type / image_url / frame_time
Raises:
ValueError: 素材不存在或不是视频
RuntimeError: 抽帧或上传失败
"""
# 1. 获取素材
asset = self._asset_repo.get(asset_id) if self._asset_repo else None
if not asset:
raise ValueError(f"素材不存在: {asset_id}")
storage_key = getattr(asset, "storage_key", "")
if not storage_key:
raise ValueError(f"素材没有文件: {asset_id}")
mime_type = getattr(asset, "mime_type", "")
if mime_type and not mime_type.startswith("video"):
raise ValueError(f"素材不是视频类型: {mime_type}")
# 2. 下载视频到临时目录
with tempfile.TemporaryDirectory(prefix="cover_extract_") as tmp_dir:
tmp_path = Path(tmp_dir)
video_path = tmp_path / f"source_{asset_id[:8]}"
logger.info("下载素材用于封面抽帧: asset_id=%s", asset_id)
try:
self._storage.download_file(storage_key, str(video_path))
except Exception as e:
raise RuntimeError(f"下载素材失败: {e}") from e
if not video_path.exists() or video_path.stat().st_size == 0:
raise RuntimeError("下载的素材文件为空")
# 3. FFmpeg 抽帧
output_path = tmp_path / "cover.jpg"
self._extract_frame(
video_path=video_path,
output_path=output_path,
time_sec=frame_time,
width=width,
height=height,
quality=quality,
)
if not output_path.exists() or output_path.stat().st_size == 0:
raise RuntimeError("封面抽帧失败")
# 4. 上传到 OSS
cover_key = f"{COVER_STORAGE_PREFIX}/{plan_id}/cover_{int(frame_time * 1000)}.jpg"
logger.info("上传封面到存储: key=%s", cover_key)
try:
self._storage.upload_file(
file_or_path=str(output_path),
storage_key=cover_key,
content_type="image/jpeg",
)
except Exception as e:
raise RuntimeError(f"上传封面失败: {e}") from e
# 5. 获取访问 URL
try:
image_url = self._storage.get_url(cover_key)
except Exception:
image_url = cover_key # 降级为 storage_key
logger.info(
"封面抽帧完成: plan_id=%s asset_id=%s time=%.2fs size=%d",
plan_id,
asset_id,
frame_time,
output_path.stat().st_size if output_path.exists() else 0,
)
return {
"type": "manual",
"image_url": image_url,
"frame_time": frame_time,
}
def generate_smart_cover(
self,
plan_id: str,
asset_id: str,
*,
width: int = DEFAULT_COVER_WIDTH,
height: int = DEFAULT_COVER_HEIGHT,
quality: int = DEFAULT_COVER_QUALITY,
) -> Dict[str, Any]:
"""智能选帧:从视频中选取多帧,选最清晰的一帧.
Args:
plan_id: 剪辑计划 ID
asset_id: 素材 ID
width: 输出宽度
height: 输出高度
quality: JPEG 质量
Returns:
封面数据 dict
"""
# 简单实现:取视频 1/3 处的帧作为智能封面
# 更复杂的多帧选清晰帧可以后续优化
frame_time = 3.0 # 默认第3秒,后续可以根据视频时长动态计算
result = self.extract_cover_from_clip(
plan_id=plan_id,
asset_id=asset_id,
frame_time=frame_time,
width=width,
height=height,
quality=quality,
)
result["type"] = "ai_frame"
return result
# ── 内部方法 ──────────────────────────────────────────────────────────
@staticmethod
def _extract_frame(
video_path: Path,
output_path: Path,
*,
time_sec: float,
width: int,
height: int,
quality: int,
) -> None:
"""使用 FFmpeg 从视频中抽取一帧.
Args:
video_path: 视频文件路径
output_path: 输出图片路径
time_sec: 抽帧时间点(秒)
width: 输出宽度
height: 输出高度
quality: JPEG 质量
"""
import subprocess
# scale + crop 实现 cover 裁剪
vf = f"scale={width}:{height}:force_original_aspect_ratio=increase," f"crop={width}:{height}"
command = [
"ffmpeg",
"-y",
"-ss",
f"{time_sec:.3f}",
"-i",
str(video_path),
"-vframes",
"1",
"-vf",
vf,
"-q:v",
str(quality),
"-f",
"mjpeg",
str(output_path),
]
logger.debug("FFmpeg 抽帧命令: %s", " ".join(command))
try:
result = subprocess.run(
command,
capture_output=True,
text=True,
timeout=60,
)
if result.returncode != 0:
logger.warning("FFmpeg 抽帧返回非零: %s\nstderr: %s", result.returncode, result.stderr[-500:])
# 尝试不使用 scale+crop 的简化命令
simple_command = [
"ffmpeg",
"-y",
"-ss",
f"{time_sec:.3f}",
"-i",
str(video_path),
"-vframes",
"1",
"-q:v",
str(quality),
"-f",
"mjpeg",
str(output_path),
]
result2 = subprocess.run(
simple_command,
capture_output=True,
text=True,
timeout=60,
)
if result2.returncode != 0:
raise RuntimeError(f"FFmpeg 抽帧失败: {result2.stderr[-300:]}")
except subprocess.TimeoutExpired as e:
raise RuntimeError("FFmpeg 抽帧超时") from e
except FileNotFoundError as e:
raise RuntimeError("FFmpeg 不可用") from e
+68 -126
View File
@@ -16,11 +16,6 @@ from packages.adapters.sqlalchemy_impl import (
SQLAlchemyEditPlanRepository,
SQLAlchemyGenerationTaskRepository,
)
from packages.domain.clip_operations import calculate_merge as _calc_merge
from packages.domain.clip_operations import calculate_shift_orders as _calc_shift_orders
from packages.domain.clip_operations import calculate_split as _calc_split
from packages.domain.clip_operations import validate_merge_clips as _validate_merge
from packages.domain.clip_operations import validate_split_time as _validate_split
from packages.domain.edit_plan import EditPlan, EditPlanStatus
from packages.domain.edit_plan_clip import EditPlanClip, EditPlanClipStatus
@@ -389,45 +384,36 @@ class EditPlanService:
clip = self.get_clip_or_raise(clip_id)
plan_id = clip.plan_id
# 纯逻辑:校验 + 计算
_validate_split(split_time, clip.duration)
split = _calc_split(
duration=clip.duration,
split_time=split_time,
start_time=clip.start_time,
)
if split_time <= 0 or split_time >= clip.duration:
raise ValueError(f"分割时间必须在 (0, {clip.duration:.3f}) 范围内,当前: {split_time}")
self._auto_resume_editing(plan_id)
original_duration = clip.duration
left_duration = round(split_time, 3)
right_duration = round(original_duration - split_time, 3)
original_order = clip.order
# 更新左半部分(原片段)
clip.duration = split.left_duration
clip.duration = left_duration
left_clip = self._clip_repo.update(clip)
# 后面片段的 order 全部 +1(给右半部分腾位置)
all_clips = self._clip_repo.list_by_plan(plan_id)
shifts = _calc_shift_orders(
all_clips,
threshold_order=original_order,
shift=1,
excluded_ids={clip_id},
id_attr="id",
order_attr="order",
)
for c, new_order in shifts:
c.order = new_order
self._clip_repo.update(c)
for c in all_clips:
if c.order > original_order and c.id != clip_id:
c.order += 1
self._clip_repo.update(c)
# 创建右半部分新片段(继承原片段的大部分属性)
right_config = dict(clip.config) if clip.config else {}
# 素材裁剪信息
if clip.asset_id:
# 右半部分从 split_time 开始播放
right_config["trim_start"] = split.right_trim_start
right_config["trim_start"] = left_duration
# 左半部分在 split_time 处结束
left_config = dict(left_clip.config) if left_clip.config else {}
left_config["trim_end"] = split.left_trim_end
left_config["trim_end"] = right_duration
left_clip.config = left_config
left_clip = self._clip_repo.update(left_clip)
@@ -438,8 +424,8 @@ class EditPlanService:
template_clip_config_id=clip.template_clip_config_id,
asset_id=clip.asset_id,
text_content=clip.text_content,
start_time=split.right_start_time,
duration=split.right_duration,
start_time=clip.start_time + left_duration,
duration=right_duration,
transition_effect=clip.transition_effect,
transition_duration=clip.transition_duration,
playback_speed=clip.playback_speed,
@@ -452,8 +438,8 @@ class EditPlanService:
clip_id,
plan_id,
split_time,
split.left_duration,
split.right_duration,
left_duration,
right_duration,
)
return {
@@ -482,45 +468,70 @@ class EditPlanService:
clip = self.get_clip_or_raise(cid)
clips.append(clip)
# 纯逻辑:校验 + 计算
plan_id, first_order = _validate_merge(clips)
merge = _calc_merge(clips)
# 校验:同一计划
plan_id = clips[0].plan_id
for c in clips[1:]:
if c.plan_id != plan_id:
raise ValueError("只能合并同一计划下的片段")
# 按 order 排序
clips.sort(key=lambda c: c.order)
# 校验:order 连续
for i in range(1, len(clips)):
if clips[i].order != clips[i - 1].order + 1:
raise ValueError(f"片段不连续:order {clips[i-1].order}{clips[i].order}")
# 校验:类型一致
clip_type = clips[0].clip_type
for c in clips[1:]:
if c.clip_type != clip_type:
raise ValueError("只能合并相同类型的片段")
self._auto_resume_editing(plan_id)
# 计算合并后的属性
first_clip = clips[0]
total_duration = round(sum(c.duration for c in clips), 3)
first_order = first_clip.order
# 合并文案(用换行连接)
merged_text = "\n".join(c.text_content for c in clips if c.text_content.strip())
# 合并 config(后面的覆盖前面的)
merged_config: Dict[str, Any] = {}
for c in clips:
if c.config:
merged_config.update(c.config)
# 清理 trim 相关字段(合并后就是完整片段了)
merged_config.pop("trim_start", None)
merged_config.pop("trim_end", None)
# 更新第一个片段(保留它作为合并结果)
first_clip = sorted(clips, key=lambda c: c.order)[0]
first_clip.duration = merge.total_duration
first_clip.text_content = merge.merged_text
first_clip.config = merge.merged_config
first_clip.duration = total_duration
first_clip.text_content = merged_text
first_clip.config = merged_config
# 转场保留第一个的(合并后的入点转场)
# playback_speed 取第一个的
merged_clip = self._clip_repo.update(first_clip)
# 删除其余片段
rest_ids = [c.id for c in clips if c.id != merged_clip.id]
for cid in rest_ids:
self._clip_repo.delete(cid)
for c in clips[1:]:
self._clip_repo.delete(c.id)
# 后面的片段 order 前移 (len - 1) 位
shift = len(clips) - 1
all_clips = self._clip_repo.list_by_plan(plan_id)
shifts = _calc_shift_orders(
all_clips,
threshold_order=first_order,
shift=-merge.shift_amount,
excluded_ids={merged_clip.id},
id_attr="id",
order_attr="order",
)
for c, new_order in shifts:
c.order = new_order
self._clip_repo.update(c)
for c in all_clips:
if c.order > first_order and c.id != merged_clip.id:
c.order -= shift
self._clip_repo.update(c)
logger.info(
"合并片段: plan_id=%s count=%d total_duration=%.3fs",
plan_id,
len(clips),
merge.total_duration,
total_duration,
)
return merged_clip
@@ -571,10 +582,6 @@ class EditPlanService:
def can_generate(self, plan_id: str) -> tuple[bool, str]:
"""检查是否可以触发渲染
包含最后一道防线的自动修复:
- 如果 clips 存在但都没有 asset_id,且 config.asset_ids 非空,
直接在内部执行素材分配,不再依赖前置 fallback 链路。
Returns:
tuple: (can_generate, reason)
"""
@@ -589,69 +596,10 @@ class EditPlanService:
if not clips:
return False, "请先添加片段后再生成视频"
# 检查是否至少有一个片段分配了素材
has_asset = any(c.asset_id for c in clips)
config_asset_ids_count = len((plan.config or {}).get("asset_ids", []))
clips_with_asset_count = sum(1 for c in clips if c.asset_id)
logger.info(
"can_generate 诊断: plan=%s status=%s total_clips=%d " "clips_with_asset=%d config_asset_ids_count=%d",
plan_id,
plan.status,
len(clips),
clips_with_asset_count,
config_asset_ids_count,
)
if not has_asset:
# ── 最后防线:自动从 config.asset_ids 分配素材 ──
config_asset_ids = (plan.config or {}).get("asset_ids", [])
if config_asset_ids:
logger.warning(
"can_generate 最后防线触发: plan=%s clips=%d 均无素材," "从 config.asset_ids(%d个) 自动分配",
plan_id,
len(clips),
len(config_asset_ids),
)
clips_without_asset = [c for c in clips if not c.asset_id]
assigned_count = 0
for i, clip in enumerate(clips_without_asset):
asset_idx = i % len(config_asset_ids)
try:
self.assign_asset(clip.id, config_asset_ids[asset_idx])
assigned_count += 1
except Exception as exc:
logger.warning(
"can_generate 最后防线: plan=%s clip=%s 分配素材 %s 失败: %s",
plan_id,
clip.id,
config_asset_ids[asset_idx],
exc,
)
logger.info(
"can_generate 最后防线: plan=%s 已为 %d/%d 个片段分配素材",
plan_id,
assigned_count,
len(clips_without_asset),
)
# 重新加载 clips 验证分配结果
clips = self._clip_repo.list_by_plan(plan_id)
if not any(c.asset_id for c in clips):
return False, "没有可渲染的就绪片段,自动修复后仍未分配素材"
else:
logger.warning(
"can_generate 失败: plan=%s clips=%d 均无素材," "且 config.asset_ids 为空,无法自动修复",
plan_id,
len(clips),
)
return False, "没有可渲染的就绪片段,请确保已选择素材"
return True, ""
def mark_clips_ready(self, plan_id: str) -> int:
"""已分配素材的 pending 片段标记为 ready
只标记同时满足以下条件的片段:
- status == PENDING
- asset_id 非空(已分配素材)
"""所有 pending 状态的片段标记为 ready
Returns:
int: 标记的片段数量
@@ -662,16 +610,10 @@ class EditPlanService:
)
count = 0
for clip in clips:
if clip.asset_id:
clip.mark_ready()
self._clip_repo.update(clip)
count += 1
logger.info(
"标记片段就绪: plan_id=%s marked=%d total_pending=%d",
plan_id,
count,
len(clips),
)
clip.mark_ready()
self._clip_repo.update(clip)
count += 1
logger.info("标记片段就绪: plan_id=%s count=%d", plan_id, count)
return count
def update_plan_config(self, plan_id: str, config_updates: Dict[str, Any]) -> EditPlan:
+161 -15
View File
@@ -23,13 +23,6 @@ from packages.domain.template_clip_config import (
TemplateClipConfig,
TransitionEffect,
)
from packages.domain.template_clip_converter import (
clip_configs_to_snapshots,
clips_to_template_clip_configs,
filter_plan_config_to_template,
snapshots_to_template_clip_configs,
validate_template_name,
)
logger = logging.getLogger(__name__)
@@ -128,7 +121,9 @@ class EditTemplateService:
ValueError: 名称为空或重复
"""
# 名称校验
clean_name = validate_template_name(name)
clean_name = name.strip()
if not clean_name:
raise ValueError("模板名称不能为空")
# 名称重复检查
existing = self._template_repo.list_all(skip=0, limit=1000)
@@ -476,7 +471,12 @@ class EditTemplateService:
raise ValueError(f"模板名称已存在: {clean_name}")
# 从计划 config 中提取模板级配置,去掉运行时/素材相关字段
template_config = filter_plan_config_to_template(plan.config)
plan_config = plan.config or {}
template_config: dict[str, Any] = {}
for key, value in plan_config.items():
# 跳过明显的运行时/实例字段,保留风格/模式类配置
if key not in {"asset_ids", "source_edit_plan_id", "generation_task_id"}:
template_config[key] = value
template = EditTemplate.create(
name=clean_name,
@@ -497,7 +497,40 @@ class EditTemplateService:
# 5. 转换每个片段为模板片段配置
created_configs: List[TemplateClipConfig] = []
for clip_config_obj in clips_to_template_clip_configs(created_template.id, clips):
for clip in clips:
clip_config: dict[str, Any] = {}
# 播放速度存入 config
if clip.playback_speed and clip.playback_speed != 1.0:
clip_config["playback_speed"] = clip.playback_speed
# 片段自有 config 合并(优先级:clip.config 覆盖上面的)
if clip.config:
clip_config.update(clip.config)
# 去掉素材相关字段
clip_config.pop("asset_info", None)
clip_config.pop("source_asset_id", None)
# 转场效果兼容校验
try:
transition = TransitionEffect(clip.transition_effect)
except ValueError:
transition = TransitionEffect.CUT
# 片段类型兼容校验
try:
clip_type = ClipType(clip.clip_type)
except ValueError:
clip_type = ClipType.MAIN
clip_config_obj = TemplateClipConfig.create(
template_id=created_template.id,
clip_type=clip_type,
order=clip.order,
min_duration=clip.duration,
max_duration=clip.duration,
text_template=clip.text_content or "",
transition_effect=transition,
config=clip_config,
)
created = self._clip_config_repo.create(clip_config_obj)
created_configs.append(created)
@@ -646,6 +679,8 @@ class EditTemplateService:
Raises:
ValueError: 模板/草稿不存在,或草稿不属于该模板
"""
from packages.domain.template_clip_config import TemplateClipConfig
# 1. 校验模板和草稿
template = self.get_template_or_raise(template_id)
draft = self._plan_repo.get(draft_plan_id)
@@ -665,14 +700,39 @@ class EditTemplateService:
editing_mode = config.get("editing_mode", "one_take")
# 4. 提取模板配置(去掉草稿/运行时字段)
template_config = filter_plan_config_to_template(draft.config)
draft_config = draft.config or {}
template_config: dict[str, Any] = {}
skip_keys = {
"is_template_draft",
"asset_ids",
"source_edit_plan_id",
"generation_task_id",
}
for key, value in draft_config.items():
if key not in skip_keys:
template_config[key] = value
# 5. 事务更新
try:
# 5.0 先保存旧版快照(发布前的状态),用于回滚
old_version = template.version or 1
old_clip_configs = self._clip_config_repo.list_by_template(template_id)
old_clip_snapshots = clip_configs_to_snapshots(old_clip_configs)
old_clip_snapshots = [
{
"clip_type": cfg.clip_type.value if hasattr(cfg.clip_type, "value") else cfg.clip_type,
"order": cfg.order,
"min_duration": cfg.min_duration,
"max_duration": cfg.max_duration,
"text_template": cfg.text_template or "",
"transition_effect": (
cfg.transition_effect.value
if hasattr(cfg.transition_effect, "value")
else cfg.transition_effect
),
"config": cfg.config or {},
}
for cfg in old_clip_configs
]
from packages.domain.template_version import EditTemplateVersion
@@ -699,7 +759,46 @@ class EditTemplateService:
# 创建新的片段配置
created_configs: list[TemplateClipConfig] = []
for config_obj in clips_to_template_clip_configs(template_id, draft_clips):
for clip in draft_clips:
clip_config: dict[str, Any] = {}
# 播放速度存入 config
if clip.playback_speed and clip.playback_speed != 1.0:
clip_config["playback_speed"] = clip.playback_speed
# 片段自有 config 合并
if clip.config:
clip_config.update(clip.config)
# 去掉素材相关字段
clip_config.pop("asset_info", None)
clip_config.pop("source_asset_id", None)
# 转场效果兼容校验
try:
from packages.domain.template_clip_config import (
TransitionEffect,
)
transition = TransitionEffect(clip.transition_effect)
except (ValueError, ImportError):
transition = TransitionEffect.CUT # type: ignore
# 片段类型兼容校验
try:
from packages.domain.template_clip_config import ClipType
clip_type = ClipType(clip.clip_type)
except (ValueError, ImportError):
clip_type = ClipType.MAIN # type: ignore
config_obj = TemplateClipConfig.create(
template_id=template_id,
clip_type=clip_type,
order=clip.order,
min_duration=clip.duration,
max_duration=clip.duration,
text_template=clip.text_content or "",
transition_effect=transition,
config=clip_config,
)
created = self._clip_config_repo.create(config_obj)
created_configs.append(created)
@@ -744,6 +843,8 @@ class EditTemplateService:
Raises:
ValueError: 模板/版本不存在
"""
from packages.domain.template_clip_config import TemplateClipConfig
template = self.get_template_or_raise(template_id)
# 1. 读取目标版本快照
@@ -756,7 +857,22 @@ class EditTemplateService:
try:
# 2. 先保存当前状态快照(当前版本号),确保回滚可撤销
old_clip_configs = self._clip_config_repo.list_by_template(template_id)
old_clip_snapshots = clip_configs_to_snapshots(old_clip_configs)
old_clip_snapshots = [
{
"clip_type": cfg.clip_type.value if hasattr(cfg.clip_type, "value") else cfg.clip_type,
"order": cfg.order,
"min_duration": cfg.min_duration,
"max_duration": cfg.max_duration,
"text_template": cfg.text_template or "",
"transition_effect": (
cfg.transition_effect.value
if hasattr(cfg.transition_effect, "value")
else cfg.transition_effect
),
"config": cfg.config or {},
}
for cfg in old_clip_configs
]
from packages.domain.template_version import EditTemplateVersion
@@ -789,7 +905,37 @@ class EditTemplateService:
synchronize_session=False
)
for config_obj in snapshots_to_template_clip_configs(template_id, target_version.clip_configs):
for clip_snap in target_version.clip_configs:
# 转场效果兼容校验
try:
from packages.domain.template_clip_config import TransitionEffect
transition = TransitionEffect(clip_snap.get("transition_effect", "cut"))
except (ValueError, ImportError):
from packages.domain.template_clip_config import TransitionEffect
transition = TransitionEffect.CUT
# 片段类型兼容校验
try:
from packages.domain.template_clip_config import ClipType
clip_type = ClipType(clip_snap.get("clip_type", "main"))
except (ValueError, ImportError):
from packages.domain.template_clip_config import ClipType
clip_type = ClipType.MAIN
config_obj = TemplateClipConfig.create(
template_id=template_id,
clip_type=clip_type,
order=clip_snap.get("order", 0),
min_duration=clip_snap.get("min_duration", 0.0),
max_duration=clip_snap.get("max_duration", 0.0),
text_template=clip_snap.get("text_template", ""),
transition_effect=transition,
config=clip_snap.get("config", {}) or {},
)
self._clip_config_repo.create(config_obj)
self._db.commit()
+249 -57
View File
@@ -26,13 +26,7 @@ from packages.domain.edit_plan import EditPlan
from packages.domain.edit_plan_clip import EditPlanClip
from packages.domain.edit_template import EditTemplate
from packages.domain.editing_mode import EditingMode
from packages.domain.plan_generator_utils import (
create_clips_from_configs,
distribute_assets,
generate_default_clips,
map_clip_types_for_mode,
)
from packages.domain.template_clip_config import TemplateClipConfig
from packages.domain.template_clip_config import ClipType, TemplateClipConfig
logger = logging.getLogger(__name__)
@@ -49,10 +43,9 @@ class PlanGeneratorService:
基于模板 + 素材,自动生成 EditPlan 及 EditPlanClip 列表。
"""
def __init__(self, db: Session, asset_repo=None) -> None:
def __init__(self, db: Session) -> None:
self._plan_repo = SQLAlchemyEditPlanRepository(db)
self._clip_repo = SQLAlchemyEditPlanClipRepository(db)
self._asset_repo = asset_repo
# ── 公开接口 ─────────────────────────────────────────────────────────────
@@ -65,7 +58,6 @@ class PlanGeneratorService:
project_id: str = "",
created_by_user_id: str = "",
name: str = "",
random_preview: bool = False,
) -> dict[str, Any]:
"""基于模板+素材生成剪辑计划
@@ -76,7 +68,6 @@ class PlanGeneratorService:
project_id: 所属项目 ID
created_by_user_id: 创建者用户 ID
name: 计划名称(为空则自动取模板名)
random_preview: 是否启用随机预览模式(随机选素材+随机截取片段)
Returns:
dict: {"plan": EditPlan, "clips": List[EditPlanClip]}
@@ -118,17 +109,7 @@ class PlanGeneratorService:
# 4. 按 editing_mode 分配素材
if asset_ids:
# 如果是随机预览模式,获取素材时长信息
asset_durations = None
if random_preview and self._asset_repo:
asset_durations = self._fetch_asset_durations(asset_ids)
self._distribute_assets(
clips,
asset_ids,
editing_mode,
random_selection=random_preview,
asset_durations=asset_durations,
)
self._distribute_assets(clips, asset_ids, editing_mode)
# 5. 持久化所有 clips 并计算总时长
created_clips: List[EditPlanClip] = []
@@ -182,18 +163,83 @@ class PlanGeneratorService:
plan_id: str,
clip_configs: List[TemplateClipConfig],
) -> List[EditPlanClip]:
"""从 TemplateClipConfig 列表创建 EditPlanClip 列表(未持久化).
"""从 TemplateClipConfig 列表创建 EditPlanClip 列表(未持久化)"""
clips: List[EditPlanClip] = []
# 按 order 排序
sorted_configs = sorted(clip_configs, key=lambda c: c.order)
委托给 plan_generator_utils.create_clips_from_configs 纯函数。
"""
return create_clips_from_configs(plan_id, clip_configs)
for cfg in sorted_configs:
# 计算时长:取 min_duration 和 max_duration 的中间值
if cfg.min_duration > 0 and cfg.max_duration > 0:
duration = (cfg.min_duration + cfg.max_duration) / 2
elif cfg.min_duration > 0:
duration = cfg.min_duration
elif cfg.max_duration > 0:
duration = cfg.max_duration
else:
duration = _DEFAULT_CLIP_DURATION
# clip_type 可能是枚举或字符串
clip_type = cfg.clip_type.value if hasattr(cfg.clip_type, "value") else cfg.clip_type
# transition_effect 可能是枚举或字符串
transition = (
cfg.transition_effect.value if hasattr(cfg.transition_effect, "value") else cfg.transition_effect
)
# 从 clip config 中解析 playback_speed(兼容 speed_ratio 字段名)
clip_cfg = cfg.config or {}
playback_speed = clip_cfg.get("playback_speed", clip_cfg.get("speed_ratio", 1.0)) or 1.0
clip = EditPlanClip.create(
plan_id=plan_id,
clip_type=clip_type,
order=cfg.order,
template_clip_config_id=cfg.id,
text_content=getattr(cfg, "text_template", "") or "",
duration=duration,
transition_effect=transition or "cut",
playback_speed=playback_speed,
config=clip_cfg,
)
clips.append(clip)
return clips
def _map_clip_types_for_mode(self, clips: List[EditPlanClip], editing_mode: str) -> None:
"""将 MAIN 类型片段按 editing_mode 映射为对应角色类型.
"""模板 clip_config 生成的 MAIN 类型片段按 editing_mode 映射为对应角色类型
委托给 plan_generator_utils.map_clip_types_for_mode 纯函数。
模板的 clip_config 使用 ClipType 枚举(main/intro/outro 等),
但 PIP / VOICE_PIP 模式的素材分配和渲染分层依赖特定的 clip_type 命名
overlay / background / corner_voice / b_roll)。
映射规则(仅修改 MAIN 类型片段,非 MAIN 片段保持原类型):
- PIP: 第1个 MAIN → main(背景),其余 MAIN → overlay(画中画)
- VOICE_PIP: 第1个 → background,第2个 → corner_voice,第3+个 → b_roll
- ONE_TAKE / VOICE_OVER: 保持 main 不变
"""
map_clip_types_for_mode(clips, editing_mode)
from packages.domain.template_clip_config import ClipType
main_clips = [c for c in clips if c.clip_type == ClipType.MAIN.value]
if not main_clips:
return
if editing_mode == EditingMode.PIP.value:
# 第1个 main 保持(背景层),其余改为 overlay(画中画层)
for i, clip in enumerate(main_clips):
if i > 0:
clip.clip_type = "overlay"
elif editing_mode == EditingMode.VOICE_PIP.value:
for i, clip in enumerate(main_clips):
if i == 0:
clip.clip_type = "background"
elif i == 1:
clip.clip_type = "corner_voice"
else:
clip.clip_type = "b_roll"
# ONE_TAKE / VOICE_OVER: 保持 main 不变,无需处理
def _generate_default_clips(
self,
@@ -201,45 +247,191 @@ class PlanGeneratorService:
editing_mode: str,
asset_count: int,
) -> List[EditPlanClip]:
"""无 clip_configs 时,根据 editing_mode 生成默认 clip 结构.
"""无 clip_configs 时,根据 editing_mode 生成默认 clip 结构
委托给 plan_generator_utils.generate_default_clips 纯函数。
- ONE_TAKE: N 个 main clipsN = asset_count,至少1个)
- PIP: 1 个 main + (N-1) 个 overlayN = asset_count
- VOICE_OVER: N 个 main clips + 标记需要配音
- VOICE_PIP: 1 个 background + 1 个 corner_voice + (N-2) 个 b_roll
"""
return generate_default_clips(plan_id, editing_mode, asset_count)
n = max(asset_count, 1)
clips: List[EditPlanClip] = []
order = 0
if editing_mode == EditingMode.PIP.value:
# 1 个 main(全屏背景)
clips.append(
EditPlanClip.create(
plan_id=plan_id,
clip_type=ClipType.MAIN.value,
order=order,
duration=_DEFAULT_CLIP_DURATION,
)
)
order += 1
# 剩余为 overlay
for _ in range(1, n):
clips.append(
EditPlanClip.create(
plan_id=plan_id,
clip_type="overlay",
order=order,
duration=_DEFAULT_CLIP_DURATION,
)
)
order += 1
elif editing_mode == EditingMode.VOICE_OVER.value:
# N 个 main clipsB-roll
for _ in range(n):
clips.append(
EditPlanClip.create(
plan_id=plan_id,
clip_type=ClipType.MAIN.value,
order=order,
duration=_DEFAULT_CLIP_DURATION,
config={"role": "b_roll"},
)
)
order += 1
elif editing_mode == EditingMode.VOICE_PIP.value:
# 1 个 background
clips.append(
EditPlanClip.create(
plan_id=plan_id,
clip_type="background",
order=order,
duration=_DEFAULT_CLIP_DURATION,
)
)
order += 1
# 1 个 corner_voice
clips.append(
EditPlanClip.create(
plan_id=plan_id,
clip_type="corner_voice",
order=order,
duration=_DEFAULT_CLIP_DURATION,
)
)
order += 1
# 剩余为 b_roll
for _ in range(2, n):
clips.append(
EditPlanClip.create(
plan_id=plan_id,
clip_type="b_roll",
order=order,
duration=_DEFAULT_CLIP_DURATION,
)
)
order += 1
else:
# ONE_TAKE: N 个 main clips
for _ in range(n):
clips.append(
EditPlanClip.create(
plan_id=plan_id,
clip_type=ClipType.MAIN.value,
order=order,
duration=_DEFAULT_CLIP_DURATION,
)
)
order += 1
return clips
def _distribute_assets(
self,
clips: List[EditPlanClip],
asset_ids: List[str],
editing_mode: str,
*,
random_selection: bool = False,
asset_durations: dict[str, float] | None = None,
) -> None:
"""按 editing_mode 将素材分配到 clips(就地修改,未持久化).
"""按 editing_mode 将素材分配到 clips(就地修改,未持久化)
委托给 plan_generator_utils.distribute_assets 纯函数。
分配策略:
- ONE_TAKE: 素材按顺序依次分配给 main 类型 clips
- PIP: 第1个素材→main(全屏背景),其余→交替分配给 overlay clips
- VOICE_OVER: 素材→main clips (B-roll)
- VOICE_PIP: 第1个→background, 第2个→corner_voice, 其余→b_roll
"""
distribute_assets(
clips,
asset_ids,
editing_mode,
random_selection=random_selection,
asset_durations=asset_durations,
)
if not asset_ids or not clips:
return
def _fetch_asset_durations(self, asset_ids: List[str]) -> dict[str, float]:
"""从数据库获取素材时长信息.
if editing_mode == EditingMode.ONE_TAKE.value:
self._distribute_one_take(clips, asset_ids)
elif editing_mode == EditingMode.PIP.value:
self._distribute_pip(clips, asset_ids)
elif editing_mode == EditingMode.VOICE_OVER.value:
self._distribute_voice_over(clips, asset_ids)
elif editing_mode == EditingMode.VOICE_PIP.value:
self._distribute_voice_pip(clips, asset_ids)
else:
# 未知模式,退化为 one_take
self._distribute_one_take(clips, asset_ids)
Args:
asset_ids: 素材 ID 列表
def _distribute_one_take(
self,
clips: List[EditPlanClip],
asset_ids: List[str],
) -> None:
"""ONE_TAKE: 素材按顺序依次分配给 main 类型 clips"""
main_clips = [c for c in clips if c.clip_type == ClipType.MAIN.value]
for i, clip in enumerate(main_clips):
if i < len(asset_ids):
clip.assign_asset(asset_ids[i])
Returns:
dict: 素材 ID -> 时长(秒)映射
"""
durations: dict[str, float] = {}
for asset_id in asset_ids:
asset = self._asset_repo.get(asset_id)
if asset and hasattr(asset, "duration"):
durations[asset_id] = float(asset.duration or 0.0)
return durations
def _distribute_pip(
self,
clips: List[EditPlanClip],
asset_ids: List[str],
) -> None:
"""PIP: 第1个素材→main(全屏背景),其余→overlay clips"""
# 第1个素材 → main clip
main_clips = [c for c in clips if c.clip_type == ClipType.MAIN.value]
if main_clips and asset_ids:
main_clips[0].assign_asset(asset_ids[0])
# 其余素材 → overlay clips
overlay_clips = [c for c in clips if c.clip_type == "overlay"]
remaining = asset_ids[1:]
for i, clip in enumerate(overlay_clips):
if i < len(remaining):
clip.assign_asset(remaining[i])
def _distribute_voice_over(
self,
clips: List[EditPlanClip],
asset_ids: List[str],
) -> None:
"""VOICE_OVER: 素材→main clips (B-roll)"""
main_clips = [c for c in clips if c.clip_type == ClipType.MAIN.value]
for i, clip in enumerate(main_clips):
if i < len(asset_ids):
clip.assign_asset(asset_ids[i])
def _distribute_voice_pip(
self,
clips: List[EditPlanClip],
asset_ids: List[str],
) -> None:
"""VOICE_PIP: 第1个→background, 第2个→corner_voice, 其余→b_roll"""
bg_clips = [c for c in clips if c.clip_type == "background"]
corner_clips = [c for c in clips if c.clip_type == "corner_voice"]
broll_clips = [c for c in clips if c.clip_type == "b_roll"]
# 第1个素材 → background
if bg_clips and len(asset_ids) > 0:
bg_clips[0].assign_asset(asset_ids[0])
# 第2个素材 → corner_voice
if corner_clips and len(asset_ids) > 1:
corner_clips[0].assign_asset(asset_ids[1])
# 其余素材 → b_roll
remaining = asset_ids[2:]
for i, clip in enumerate(broll_clips):
if i < len(remaining):
clip.assign_asset(remaining[i])
+326
View File
@@ -0,0 +1,326 @@
"""SmartAssetSelector — 智能素材选择服务.
根据多维度评分从素材库中自动选择最优视频素材,
用于一键生成等需要自动选取素材的场景。
评分维度(加权求和,总分 0-1):
- 质量分(quality_score):权重 0.5 — 来自人工或AI的质量评分
- 分辨率适配:权重 0.2 — 分辨率越接近 1080p 得分越高
- 时长合理性:权重 0.2 — 3-30 秒区间最佳,过短/过长扣分
- 码率质量:权重 0.1 — 用文件大小/时长估算,码率适中得分高
特性:
- 最低质量分门槛:自动过滤低质量素材
- 时长多样性:保证选出的素材时长分布均匀(短/中/长各占一定比例)
- 兼容全部模式:素材库模式和项目模式都可用
"""
from __future__ import annotations
import logging
from dataclasses import dataclass
logger = logging.getLogger(__name__)
# ── 评分权重 ──────────────────────────────────────────────────────────────────
_WEIGHT_QUALITY = 0.5
_WEIGHT_RESOLUTION = 0.2
_WEIGHT_DURATION = 0.2
_WEIGHT_BITRATE = 0.1
# ── 评分参数 ──────────────────────────────────────────────────────────────────
_TARGET_WIDTH = 1920 # 目标分辨率宽度基准
_TARGET_HEIGHT = 1080 # 目标分辨率高度基准
_MIN_QUALITY_SCORE = 30.0 # 最低质量分门槛(低于此值的素材直接排除)
_OPTIMAL_DURATION_MIN = 3.0 # 最佳时长区间(秒)
_OPTIMAL_DURATION_MAX = 30.0
# ── 多样性分桶 ───────────────────────────────────────────────────────────────
_SHORT_BUCKET_MAX = 5.0 # 短素材:< 5s
_MEDIUM_BUCKET_MAX = 15.0 # 中素材:5-15s
# 长素材:> 15s
@dataclass
class SmartSelectResult:
"""智能选择结果."""
selected_ids: list[str]
total_candidates: int
filtered_out: int # 被质量门槛过滤的数量
avg_score: float
details: list[AssetScoreDetail]
@dataclass
class AssetScoreDetail:
"""单个素材的评分详情."""
asset_id: str
total_score: float
quality_score: float
resolution_score: float
duration_score: float
bitrate_score: float
duration: float | None
class SmartAssetSelector:
"""智能素材选择器.
从一组素材中按综合评分选择最优的 N 个,
同时保证时长分布的多样性。
"""
def __init__(
self,
min_quality_score: float = _MIN_QUALITY_SCORE,
target_width: int = _TARGET_WIDTH,
target_height: int = _TARGET_HEIGHT,
):
self.min_quality_score = min_quality_score
self.target_width = target_width
self.target_height = target_height
# ── 公开方法 ──────────────────────────────────────────────────────────────
def select(
self,
assets: list,
count: int = 0,
*,
ensure_diversity: bool = True,
) -> SmartSelectResult:
"""从素材列表中智能选择最优素材.
Args:
assets: Asset 实体列表(需要有 id/quality_score/width/height/duration/file_size 属性)
count: 选取数量,0 表示全部符合条件的
ensure_diversity: 是否保证时长多样性(默认开启)
Returns:
SmartSelectResult 选择结果
"""
# 1. 过滤:只保留 ready 状态的视频素材 + 最低质量分门槛
candidates = []
filtered_out = 0
for asset in assets:
status = getattr(asset, "status", None)
status_val = status.value if hasattr(status, "value") else str(status)
if status_val != "ready":
continue
mime_type = getattr(asset, "mime_type", "") or ""
if not mime_type.startswith("video"):
continue
quality = getattr(asset, "quality_score", None)
if quality is not None and quality < self.min_quality_score:
filtered_out += 1
continue
candidates.append(asset)
if not candidates:
return SmartSelectResult(
selected_ids=[],
total_candidates=0,
filtered_out=filtered_out,
avg_score=0.0,
details=[],
)
# 2. 对每个候选素材评分
scored: list[AssetScoreDetail] = []
for asset in candidates:
detail = self._score_asset(asset)
scored.append(detail)
# 3. 按总分降序排列
scored.sort(key=lambda d: d.total_score, reverse=True)
# 4. 多样性选择(如果需要且数量有限制)
if ensure_diversity and count > 0 and len(scored) > count:
selected = self._diverse_selection(scored, count)
else:
# 无数量限制或不要求多样性,直接按排名取
selected = scored if count <= 0 else scored[:count]
avg_score = sum(d.total_score for d in selected) / len(selected) if selected else 0.0
result = SmartSelectResult(
selected_ids=[d.asset_id for d in selected],
total_candidates=len(candidates),
filtered_out=filtered_out,
avg_score=avg_score,
details=selected,
)
logger.info(
"智能素材选择完成: 候选=%d, 过滤=%d, 选中=%d, 平均分=%.3f",
result.total_candidates,
result.filtered_out,
len(result.selected_ids),
result.avg_score,
)
return result
# ── 内部方法 ──────────────────────────────────────────────────────────────
def _score_asset(self, asset) -> AssetScoreDetail:
"""对单个素材进行多维度评分."""
# 质量分
quality = getattr(asset, "quality_score", None)
quality_score = (quality / 100.0) if quality is not None else 0.5
# 分辨率评分:越接近目标分辨率得分越高
width = getattr(asset, "width", None)
height = getattr(asset, "height", None)
resolution_score = self._score_resolution(width, height)
# 时长评分:在最佳区间内得分高,过短过长扣分
duration = getattr(asset, "duration", None)
duration_score = self._score_duration(duration)
# 码率评分:用 file_size/duration 估算,适中得分高
file_size = getattr(asset, "file_size", 0) or 0
bitrate_score = self._score_bitrate(file_size, duration)
# 加权总分
total = (
_WEIGHT_QUALITY * quality_score
+ _WEIGHT_RESOLUTION * resolution_score
+ _WEIGHT_DURATION * duration_score
+ _WEIGHT_BITRATE * bitrate_score
)
return AssetScoreDetail(
asset_id=asset.id,
total_score=round(total, 4),
quality_score=round(quality_score, 4),
resolution_score=round(resolution_score, 4),
duration_score=round(duration_score, 4),
bitrate_score=round(bitrate_score, 4),
duration=duration,
)
def _score_resolution(self, width: int | None, height: int | None) -> float:
"""分辨率评分:越接近目标分辨率得分越高,低于480p扣分严重."""
if width is None or height is None or width <= 0 or height <= 0:
return 0.5 # 未知分辨率给中评分
target_pixels = self.target_width * self.target_height
actual_pixels = width * height
# 计算像素数比例
ratio = actual_pixels / target_pixels
if ratio >= 1.0:
# 高于或等于目标分辨率:满分,略高不扣分(4K也给满分)
return 1.0
else:
# 低于目标分辨率:线性衰减,但最低不低于 0.1
# 例如:720p (921600) / 1080p (2073600) = 0.44 → 得分 0.6
score = 0.3 + 0.7 * ratio
return max(0.1, min(1.0, score))
def _score_duration(self, duration: float | None) -> float:
"""时长评分:3-30秒最佳,过短或过长都扣分."""
if duration is None or duration <= 0:
return 0.5 # 未知时长给中评分
if _OPTIMAL_DURATION_MIN <= duration <= _OPTIMAL_DURATION_MAX:
# 最佳区间:满分
return 1.0
if duration < _OPTIMAL_DURATION_MIN:
# 太短:线性衰减,1秒以下给 0.3
ratio = duration / _OPTIMAL_DURATION_MIN
return 0.3 + 0.7 * ratio
# 太长:每超过最佳区间上限10秒扣 0.1 分,最低 0.2
excess = duration - _OPTIMAL_DURATION_MAX
penalty = min(0.8, excess / 10.0 * 0.1)
return max(0.2, 1.0 - penalty)
def _score_bitrate(self, file_size: int, duration: float | None) -> float:
"""码率评分:根据文件大小和时长估算码率,适中得分高."""
if not file_size or not duration or duration <= 0:
return 0.5 # 未知给中评分
# 估算码率(bps
bitrate = (file_size * 8) / duration
# 最佳码率范围:2-8 Mbps
optimal_low = 2_000_000 # 2 Mbps
optimal_high = 8_000_000 # 8 Mbps
if optimal_low <= bitrate <= optimal_high:
return 1.0
if bitrate < optimal_low:
# 码率太低:线性衰减
ratio = bitrate / optimal_low
return 0.3 + 0.7 * ratio
# 码率太高(文件太大):适度扣分
excess = bitrate / optimal_high - 1.0
penalty = min(0.5, excess * 0.2)
return max(0.5, 1.0 - penalty)
def _diverse_selection(self, scored: list[AssetScoreDetail], count: int) -> list[AssetScoreDetail]:
"""多样性选择:按时长分桶,保证每个桶都有素材.
策略:
1. 按时长分为三桶:短(<5s)、中(5-15s)、长(>15s)
2. 每个桶配额 = max(1, count / 3)
3. 先从每桶按配额取最高分的
4. 剩余名额从全局最高分中取(不重复)
"""
# 分桶
short_bucket = [d for d in scored if d.duration is not None and d.duration < _SHORT_BUCKET_MAX]
medium_bucket = [
d for d in scored if d.duration is not None and _SHORT_BUCKET_MAX <= d.duration < _MEDIUM_BUCKET_MAX
]
long_bucket = [d for d in scored if d.duration is not None and d.duration >= _MEDIUM_BUCKET_MAX]
unknown_bucket = [d for d in scored if d.duration is None]
buckets = [short_bucket, medium_bucket, long_bucket]
bucket_names = ["short", "medium", "long"]
# 每个桶基础配额(至少1个,如果桶非空且需要的话)
base_quota = max(1, count // 3)
selected: list[AssetScoreDetail] = []
selected_ids: set[str] = set()
# 先按配额从每个桶取
for bucket, _name in zip(buckets, bucket_names, strict=False):
quota = min(base_quota, len(bucket))
if quota <= 0:
continue
# 桶内已经按分数排好序了,直接取前 quota 个
for item in bucket[:quota]:
if item.asset_id not in selected_ids:
selected.append(item)
selected_ids.add(item.asset_id)
if len(selected) >= count:
return selected
# 剩余名额:从全局(未被选中的)中按分数高低取
remaining_needed = count - len(selected)
if remaining_needed > 0:
for item in scored:
if item.asset_id not in selected_ids:
selected.append(item)
selected_ids.add(item.asset_id)
if len(selected) >= count:
break
# 如果还不够(不应该发生),加上未知时长的
if len(selected) < count and unknown_bucket:
for item in unknown_bucket:
if item.asset_id not in selected_ids:
selected.append(item)
selected_ids.add(item.asset_id)
if len(selected) >= count:
break
return selected[:count]
+246 -31
View File
@@ -29,33 +29,47 @@ from packages.adapters.sqlalchemy_impl.edit_plan_repository import (
)
from packages.domain.edit_plan import EditPlanStatus
from packages.domain.edit_plan_clip import EditPlanClip, EditPlanClipStatus
from packages.domain.video_filter_builder import (
DEFAULT_FPS,
DEFAULT_OUTPUT_HEIGHT,
DEFAULT_OUTPUT_WIDTH,
DEFAULT_TRANSITION_DURATION,
ClipFilterChain,
build_clip_filter,
)
from packages.domain.video_filter_builder import build_concat_filter as _build_concat_filter_func
from packages.domain.video_filter_builder import build_filter_complex as _build_filter_complex
from packages.domain.video_filter_builder import build_xfade_filter as _build_xfade_filter_func
from packages.domain.video_filter_builder import chain_filters as _chain_filters_func
from packages.domain.video_filter_builder import has_audio as _has_audio_func
from packages.domain.template_clip_config import TransitionEffect
logger = logging.getLogger(__name__)
# ── 常量(向后兼容别名) ──────────────────────────────────────────────────────
# 实际定义已迁移至 packages/domain/video_filter_builder.py
# ── 常量 ──────────────────────────────────────────────────────────────────────
DEFAULT_OUTPUT_WIDTH = 1280
DEFAULT_OUTPUT_HEIGHT = 720
DEFAULT_FPS = 25
DEFAULT_CODEC = "libx264"
DEFAULT_CRF = 23
DEFAULT_PRESET = "medium"
# xfade 转场映射:TransitionEffect → FFmpeg xfade transition 名称
_XFADE_TRANSITION_MAP: dict[str, str] = {
TransitionEffect.FADE: "fade",
TransitionEffect.SLIDE_LEFT: "slideleft",
TransitionEffect.SLIDE_RIGHT: "slideright",
TransitionEffect.DISSOLVE: "dissolve",
TransitionEffect.WIPE: "wipeleft",
}
# 转场默认时长(秒)
DEFAULT_TRANSITION_DURATION = 0.5
# ── 数据结构 ──────────────────────────────────────────────────────────────────
@dataclass(frozen=True)
class ClipFilterChain:
"""单个片段的滤镜链描述。"""
clip_id: str
input_index: int
video_label: str
audio_label: str | None
filters: list[str]
duration: float
@dataclass(frozen=True)
class ComposeCommand:
"""完整的 FFmpeg 合成命令描述。"""
@@ -374,7 +388,7 @@ class VideoComposeService:
EditPlanStatus.EDITING,
EditPlanStatus.RENDERING,
),
"rendered_url": plan.config.get("rendered_storage_key", "") or plan.config.get("rendered_url", ""),
"rendered_url": plan.config.get("rendered_url", ""),
}
# ── 内部方法 ──────────────────────────────────────────────────────────
@@ -387,8 +401,62 @@ class VideoComposeService:
output_height: int,
fps: int,
) -> ClipFilterChain:
"""向后兼容:委托给 video_filter_builder.build_clip_filter。"""
return build_clip_filter(clip, input_index, output_width, output_height, fps)
"""为单个片段构建滤镜链。
滤镜顺序:
1. scale — 等比缩放到目标分辨率(保证覆盖)
2. crop — 居中裁剪到目标分辨率
3. fps — 统一输出帧率(concat 要求所有输入帧率一致)
4. setpts — 重置时间戳 + 偏移
5. trim — 视频时长裁剪
6. atrim — 音频时长裁剪(如有音频流)
"""
duration = clip.duration if clip.duration > 0 else 5.0 # 默认 5 秒
start = clip.start_time
filters: list[str] = []
# 1. scale: 等比缩放(保持比例,不裁剪)
filters.append(f"scale={output_width}:{output_height}" f":force_original_aspect_ratio=decrease")
# 2. pad: 居中+留黑边到目标分辨率(保持原始比例,不裁剪内容)
filters.append(f"pad={output_width}:{output_height}:(ow-iw)/2:(oh-ih)/2:black")
# 3. format: 统一像素格式为 yuv420pH.264 标准格式,concat 要求所有输入像素格式一致)
# 不同素材可能是 yuv420p / yuv422p / yuv444p / nv12 等,必须统一
filters.append("format=yuv420p")
# 4. fps: 统一帧率(concat 要求所有输入帧率一致)
# 放在 pad 之后、setpts 之前,确保分辨率和帧率都已统一
if fps and fps > 0:
filters.append(f"fps={fps}")
# 3. setpts: 重置时间戳
if start > 0:
filters.append(f"setpts=PTS-STARTPTS+{start}/TB")
else:
filters.append("setpts=PTS-STARTPTS")
# 4. trim: 视频时长
filters.append(f"trim=0:{duration}")
filters.append("setpts=PTS-STARTPTS") # trim 后需要重置 PTS
video_label = f"v{input_index}"
# 5. 音频标签:仅当片段类型可能有音频时才设置
# title/subtitle 是纯文字/图片卡片,没有音频流
clip_type = clip.clip_type.lower() if clip.clip_type else ""
has_audio_stream = clip_type not in ("title", "subtitle")
audio_label = f"a{input_index}" if has_audio_stream else None
return ClipFilterChain(
clip_id=clip.id,
input_index=input_index,
video_label=video_label,
audio_label=audio_label,
filters=filters,
duration=duration,
)
@staticmethod
def _build_filter_complex(
@@ -398,30 +466,102 @@ class VideoComposeService:
transition_duration: float,
transitions: list[str],
) -> tuple[str, float]:
"""向后兼容:委托给 video_filter_builder.build_filter_complex"""
return _build_filter_complex(clip_chains, output_width, output_height, transition_duration, transitions)
"""构建完整的 filter_complex 字符串。
策略:
- 单片段:直接输出
- 多片段 + 全 cut:使用 concat 滤镜(高效)
- 多片段 + 有转场:使用 xfade 滤镜链
返回 (filter_complex_string, estimated_total_duration)。
"""
n = len(clip_chains)
if n == 0:
return "", 0.0
# ── 单片段 ─────────────────────────────────────────────────────
if n == 1:
chain = clip_chains[0]
filter_str = _chain_filters(chain.filters, chain.video_label)
# 音频
if chain.audio_label:
filter_str += f";[0:a]{chain.audio_label}"
total_duration = chain.duration
return filter_str, total_duration
# ── 检查是否有转场 ─────────────────────────────────────────────
has_transitions = any(t != TransitionEffect.CUT and t != "cut" for t in transitions)
if not has_transitions:
return _build_concat_filter(clip_chains)
# ── 有转场:使用 xfade ─────────────────────────────────────────
return _build_xfade_filter(
clip_chains=clip_chains,
transition_duration=transition_duration,
transitions=transitions,
)
@staticmethod
def _has_audio(clip_chains: list[ClipFilterChain]) -> bool:
"""向后兼容:委托给 video_filter_builder.has_audio"""
return _has_audio_func(clip_chains)
"""是否有任何片段包含音频流"""
return any(c.audio_label is not None for c in clip_chains)
# ── 模块级辅助函数(向后兼容别名) ──────────────────────────────────────────
# 实际实现已迁移至 packages/domain/video_filter_builder.py
# 保留此处别名以兼容现有测试与调用方
# ── 模块级辅助函数 ────────────────────────────────────────────────────────────
def _chain_filters(filters: list[str], output_label: str) -> str:
"""向后兼容:委托给 video_filter_builder.chain_filters"""
return _chain_filters_func(filters, output_label)
"""将滤镜列表串联为 FFmpeg 滤镜字符串"""
filter_body = ",".join(filters)
return f"[0:v]{filter_body}[{output_label}]"
def _build_concat_filter(
clip_chains: list[ClipFilterChain],
) -> tuple[str, float]:
"""向后兼容:委托给 video_filter_builder.build_concat_filter。"""
return _build_concat_filter_func(clip_chains)
"""构建 concat 滤镜(无转场,高效拼接)。
格式:
[0:v]filters[v0]; [1:v]filters[v1]; ...
[v0][v1]...[vN]concat=n=N:v=1:a=0[outv]
"""
n = len(clip_chains)
parts: list[str] = []
total_duration = 0.0
# 每个片段的滤镜链
for idx, chain in enumerate(clip_chains):
filter_body = ",".join(chain.filters)
parts.append(f"[{idx}:v]{filter_body}[{chain.video_label}]")
total_duration += chain.duration
# concat 滤镜
concat_inputs = "".join(f"[{c.video_label}]" for c in clip_chains)
concat_filter = f"{concat_inputs}concat=n={n}:v=1:a=0[outv]"
parts.append(concat_filter)
# 音频 concat(如果有)— 先统一音频格式再拼接,否则不同采样率/声道会导致concat失败
audio_parts: list[str] = []
for idx, chain in enumerate(clip_chains):
if chain.audio_label:
# aformat: 统一采样率48000Hz + 双声道stereo + fltp采样格式(AAC标准格式)
audio_filters = [
"aformat=sample_rates=48000:channel_layouts=stereo:sample_fmts=fltp",
f"atrim=0:{chain.duration}",
"asetpts=PTS-STARTPTS",
]
audio_parts.append(f"[{idx}:a]{','.join(audio_filters)}[{chain.audio_label}]")
if audio_parts:
parts.extend(audio_parts)
audio_inputs = "".join(f"[{c.audio_label}]" for c in clip_chains if c.audio_label)
audio_count = sum(1 for c in clip_chains if c.audio_label)
if audio_count > 0:
parts.append(f"{audio_inputs}concat=n={audio_count}:v=0:a=1[outa]")
return ";".join(parts), total_duration
def _build_xfade_filter(
@@ -429,5 +569,80 @@ def _build_xfade_filter(
transition_duration: float,
transitions: list[str],
) -> tuple[str, float]:
"""向后兼容:委托给 video_filter_builder.build_xfade_filter。"""
return _build_xfade_filter_func(clip_chains, transition_duration, transitions)
"""构建 xfade 转场滤镜链。
每两个相邻片段之间插入 xfade 转场。
offset = 前一个片段的累积时长 - 转场时长。
格式(2 片段):
[0:v]filters[v0]; [1:v]filters[v1];
[v0][v1]xfade=transition=fade:duration=0.5:offset=4.5[outv]
格式(3+ 片段):
[v0][v1]xfade=...[tmp1]; [tmp1][v2]xfade=...[outv]
"""
n = len(clip_chains)
parts: list[str] = []
total_duration = 0.0
# 每个片段的滤镜链
for idx, chain in enumerate(clip_chains):
filter_body = ",".join(chain.filters)
parts.append(f"[{idx}:v]{filter_body}[{chain.video_label}]")
total_duration += chain.duration
# xfade 链
if n == 1:
# 单片段不需要 xfade
parts.append(f"[{clip_chains[0].video_label}]copy[outv]")
return ";".join(parts), total_duration
# 计算每个转场的 offset
cumulative = 0.0
prev_label = clip_chains[0].video_label
for i in range(1, n):
cumulative += clip_chains[i - 1].duration
offset = max(0.0, cumulative - transition_duration * i)
# 获取转场类型
transition = transitions[i] if i < len(transitions) else "cut"
xfade_transition = _XFADE_TRANSITION_MAP.get(transition, "fade")
if i == n - 1:
# 最后一个转场,输出到 [outv]
out_label = "outv"
else:
out_label = f"xf{i}"
parts.append(
f"[{prev_label}][{clip_chains[i].video_label}]"
f"xfade=transition={xfade_transition}"
f":duration={transition_duration}"
f":offset={offset:.3f}"
f"[{out_label}]"
)
prev_label = out_label
# 总时长需要减去转场重叠部分
total_duration -= transition_duration * (n - 1)
# 音频:先 aformat 归一化再 concat(不同采样率/声道/采样格式会导致concat失败)
audio_chains_with_label = [(c, c.audio_label) for c in clip_chains if c.audio_label]
if len(audio_chains_with_label) >= 2:
normalized_audio_labels: list[str] = []
for chain, _ in audio_chains_with_label:
norm_label = f"anorm_{chain.video_label}"
audio_filters = [
"aformat=sample_rates=48000:channel_layouts=stereo:sample_fmts=fltp",
f"atrim=0:{chain.duration}",
"asetpts=PTS-STARTPTS",
]
parts.append(f"[{chain.audio_label}]{','.join(audio_filters)}[{norm_label}]")
normalized_audio_labels.append(norm_label)
audio_inputs = "".join(f"[{label}]" for label in normalized_audio_labels)
parts.append(f"{audio_inputs}concat=n={len(normalized_audio_labels)}:v=0:a=1[outa]")
elif len(audio_chains_with_label) == 1:
parts.append(f"[{audio_chains_with_label[0][0].audio_label}]acopy[outa]")
return ";".join(parts), max(0.0, total_duration)
+19 -35
View File
@@ -50,10 +50,10 @@ type AssetListResponse = {
}
test.describe("Core generation flow", () => {
test.describe.configure({ timeout: 360_000 })
test.describe.configure({ timeout: 180_000 })
test("walks through 7-step wizard and starts generation", async ({ page, request }) => {
test.setTimeout(360_000)
test.setTimeout(180_000)
await routeBrowserApiToTestApi(page)
const suffix = Date.now().toString(36)
@@ -196,45 +196,37 @@ test.describe("Core generation flow", () => {
await materialLabel.locator("input[type='checkbox']").check()
await page.getByRole("button", { name: "下一步" }).click()
// Step 3: voice (可选步骤,新注册用户无配音素材,直接跳过)
await expect(page.getByRole("heading", { name: /选择配音/ })).toBeVisible({ timeout: 15000 })
// Step 3: preview (纯展示页,AI 智能匹配预览)
await expect(page.getByRole("heading", { name: /生成预览/ })).toBeVisible()
await page.getByRole("button", { name: "下一步" }).click()
// Step 4: title(新顺序:标题在预览之前)
await expect(page.getByRole("heading", { name: /选择标题/ })).toBeVisible({ timeout: 15000 })
// 等待组件完全渲染
await page.waitForTimeout(2000)
// Antd AutoComplete 的 placeholder 渲染在 span 上,input 无 placeholder 属性
// 使用 Antd AutoComplete 特有的 class 定位输入框
const titleInput = page.locator(".ant-select-auto-complete input")
await expect(titleInput).toBeVisible({ timeout: 5000 })
// Step 4: title
await expect(page.getByRole("heading", { name: /选择标题/ })).toBeVisible()
const titleText = `E2E Test ${suffix}`
await titleInput.fill(titleText)
await page.getByPlaceholder("输入自定义标题…").fill(titleText)
await page.getByRole("button", { name: "下一步" }).click()
// Step 5: preview — 前端实时预览架构改造,无需后端生成预览
await expect(page.getByRole("heading", { name: /预览设置/ })).toBeVisible({ timeout: 15000 })
// Step 5: voice
await expect(page.getByRole("heading", { name: /选择配音/ })).toBeVisible()
const firstVoiceCard = page.locator(".xx-voice-choice-item").first()
await firstVoiceCard.click()
await page.getByRole("button", { name: "下一步" }).click()
// Step 6: cover (默认 AI 智能选帧模式,直接下一步)
await expect(page.getByRole("heading", { name: /选择封面/ })).toBeVisible({ timeout: 15000 })
await expect(page.getByRole("heading", { name: /选择封面/ })).toBeVisible()
await page.getByRole("button", { name: "下一步" }).click()
// Step 7: confirm and generate
await expect(page.getByRole("heading", { name: /确认生成/ })).toBeVisible()
// Wait for generation API to be called
// 前端直接创建生成任务:POST /generation/tasks
// 新架构:GET 草稿自动创建 → PUT 更新内容 → POST /generate 触发生成
// 等 generate 接口返回,确认生成流程启动
const generatePromise = page.waitForResponse(
(response) => {
const url = response.url()
const path = new URL(url).pathname
return (
response.request().method() === "POST" &&
path.endsWith("/generation/tasks")
)
return response.request().method() === "POST" && path.endsWith("/editor/generate")
},
{ timeout: 30_000 },
)
@@ -250,18 +242,10 @@ test.describe("Core generation flow", () => {
`[E2E DEBUG] 触发生成接口失败: status=${genResp.status()} url=${genResp.url()} body=${body.slice(0, 500)}`,
)
}
// Generate API may return 400 in test env if template has no ready segments
// That is OK for a wizard flow smoke test
if (genResp.ok()) {
const genData = (await genResp.json()) as {
items: Array<{ id: string; status: string }>
total: number
}
expect(genData.items.length).toBeGreaterThan(0)
expect(genData.items[0].id).toBeTruthy()
} else {
console.log(`[E2E] Generate API returned ${genResp.status()}, wizard flow test still passes`)
}
expect(genResp.ok()).toBeTruthy()
const genData = (await genResp.json()) as { plan_id: string; generation_task_id: string }
expect(genData.plan_id).toBeTruthy()
expect(genData.generation_task_id).toBeTruthy()
// Generation may fail in test env (no worker), that's OK
// Just verify the flow started - check page shows generation-related UI
+39 -31
View File
@@ -178,7 +178,7 @@ test.describe("素材库流程", () => {
expect(kinds).toContain("image")
})
test("创建素材记录 — POST /assets 已废弃返回 410", async ({ request }) => {
test("创建素材记录", async ({ request }) => {
const { headers, userId } = await createAuthedUser(request, "asset-create")
const projectId = await createProject(request, headers, Date.now().toString())
@@ -194,7 +194,7 @@ test.describe("素材库流程", () => {
expect(lib.ok()).toBeTruthy()
const libData = await lib.json()
// POST /assets 已废弃,应返回 410 Gone
// 创建素材记录
const response = await request.post(`${apiBase}/assets`, {
headers,
data: {
@@ -210,9 +210,16 @@ test.describe("素材库流程", () => {
},
})
expect(response.status()).toBe(410)
expect(
response.ok(),
`创建素材应返回 2xx,实际: ${response.status()} ${await response.text()}`,
).toBeTruthy()
const data = await response.json()
expect(data.error?.code).toBe("HTTP_410")
expect(data.id, "应返回素材 ID").toBeTruthy()
expect(data.name).toContain("test_video")
expect(data.mime_type).toBe("video/mp4")
expect(data.library_id).toBe(libData.id)
})
test("列出素材", async ({ request }) => {
@@ -225,50 +232,51 @@ test.describe("素材库流程", () => {
data: {
project_id: projectId,
name: `List Lib ${Date.now()}`,
kind: "image",
kind: "video",
},
})
expect(lib.ok(), `创建素材库应成功: ${await lib.text()}`).toBeTruthy()
const libData = await lib.json()
// 通过 multipart upload 上传 2 个小图片作为测试素材
// 创建一个 1x1 的 PNG buffer
const tinyPng = Buffer.from(
"iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mNk+M9QDwADhgGAWjR9awAAAABJRU5ErkJggg==",
"base64",
)
await request.post(`${apiBase}/upload`, {
// 创建 2 个素材
await request.post(`${apiBase}/assets`, {
headers,
multipart: {
data: {
project_id: projectId,
library_id: libData.id,
file: { name: "clip_a.png", mimeType: "image/png", buffer: tinyPng },
name: `clip_a_${Date.now()}.mp4`,
storage_key: `uploads/e2e/clip_a.mp4`,
mime_type: "video/mp4",
status: "ready",
uploaded_by_user_id: userId,
},
})
await request.post(`${apiBase}/upload`, {
await request.post(`${apiBase}/assets`, {
headers,
multipart: {
data: {
project_id: projectId,
library_id: libData.id,
file: { name: "clip_b.png", mimeType: "image/png", buffer: tinyPng },
name: `clip_b_${Date.now()}.mp4`,
storage_key: `uploads/e2e/clip_b.mp4`,
mime_type: "video/mp4",
status: "ready",
uploaded_by_user_id: userId,
},
})
// 列出素材(可能需要等待 ingest job 完成)
let items: any[] = []
for (let i = 0; i < 10; i++) {
const response = await request.get(`${apiBase}/assets`, {
headers,
params: { library_id: libData.id },
})
expect(response.ok(), `列出素材应返回 2xx`).toBeTruthy()
const data = await response.json()
items = data.items || []
if (items.length >= 2) break
await new Promise((r) => setTimeout(r, 2000))
}
// 列出素材
const response = await request.get(`${apiBase}/assets`, {
headers,
params: { library_id: libData.id },
})
expect(
response.ok(),
`列出素材应返回 2xx,实际: ${response.status()} ${await response.text()}`,
).toBeTruthy()
const data = await response.json()
const items = data.items || []
expect(items.length, "应至少有 2 个素材").toBeGreaterThanOrEqual(2)
})
+26 -24
View File
@@ -12,7 +12,6 @@
"@tanstack/react-query": "^5.45.0",
"antd": "^5.18.0",
"axios": "^1.7.2",
"mp4box": "^2.4.1",
"react": "^18.3.1",
"react-dom": "^18.3.1",
"react-router-dom": "^6.24.0",
@@ -1848,7 +1847,7 @@
},
"node_modules/@testing-library/dom": {
"version": "10.4.1",
"resolved": "https://registry.npmmirror.com/@testing-library/dom/-/dom-10.4.1.tgz",
"resolved": "https://registry.npmjs.org/@testing-library/dom/-/dom-10.4.1.tgz",
"integrity": "sha512-o4PXJQidqJl82ckFaXUeoAW+XysPLauYI43Abki5hABd853iMhitooc6znOnczgbTYmEP6U6/y1ZyKAIsvMKGg==",
"dev": true,
"license": "MIT",
@@ -1938,7 +1937,7 @@
},
"node_modules/@types/aria-query": {
"version": "5.0.4",
"resolved": "https://registry.npmmirror.com/@types/aria-query/-/aria-query-5.0.4.tgz",
"resolved": "https://registry.npmjs.org/@types/aria-query/-/aria-query-5.0.4.tgz",
"integrity": "sha512-rfT93uj5s0PRL7EzccGMs3brplhcrghnDoV26NqKhCAS1hVo+WdNsPvE/yb6ilfr5hi2MEk6d5EWJTKdxg8jVw==",
"dev": true,
"license": "MIT",
@@ -3113,7 +3112,7 @@
},
"node_modules/dom-accessibility-api": {
"version": "0.5.16",
"resolved": "https://registry.npmmirror.com/dom-accessibility-api/-/dom-accessibility-api-0.5.16.tgz",
"resolved": "https://registry.npmjs.org/dom-accessibility-api/-/dom-accessibility-api-0.5.16.tgz",
"integrity": "sha512-X7BJ2yElsnOJ30pZF4uIIDfBEVgF4XEBxL9Bxhy6dnrm5hkzqmsWHGTiHqRiITNhMyFLyAiWndIJP7Z1NTteDg==",
"dev": true,
"license": "MIT",
@@ -4029,6 +4028,18 @@
"node": ">= 4"
}
},
"node_modules/immer": {
"version": "10.2.0",
"resolved": "https://registry.npmjs.org/immer/-/immer-10.2.0.tgz",
"integrity": "sha512-d/+XTN3zfODyjr89gM3mPq1WNX2B8pYsu7eORitdwyA2sBubnTl3laYlBk4sXY5FUa5qTZGBDPJICVbvqzjlbw==",
"license": "MIT",
"optional": true,
"peer": true,
"funding": {
"type": "opencollective",
"url": "https://opencollective.com/immer"
}
},
"node_modules/import-fresh": {
"version": "3.3.1",
"resolved": "https://registry.npmjs.org/import-fresh/-/import-fresh-3.3.1.tgz",
@@ -4457,7 +4468,7 @@
},
"node_modules/lz-string": {
"version": "1.5.0",
"resolved": "https://registry.npmmirror.com/lz-string/-/lz-string-1.5.0.tgz",
"resolved": "https://registry.npmjs.org/lz-string/-/lz-string-1.5.0.tgz",
"integrity": "sha512-h5bgJWpxJNswbU7qCrV0tIKQCaS3blPDrqKWx+QxzuzL1zGUzij9XCWLrSLsJPu5t+eWA/ycetzYAO5IOMcWAQ==",
"dev": true,
"license": "MIT",
@@ -4624,15 +4635,6 @@
"dev": true,
"license": "MIT"
},
"node_modules/mp4box": {
"version": "2.4.1",
"resolved": "https://registry.npmmirror.com/mp4box/-/mp4box-2.4.1.tgz",
"integrity": "sha512-0HGX7nXoDIX6FKLVl4a3wtYjBlwqsN3xuQC3GXzNtKp98FXUOhDSq623azsz8DG5ptd9ZXcXodDkgbdMZOjWvw==",
"license": "BSD-3-Clause",
"engines": {
"node": ">=20.8.1"
}
},
"node_modules/mrmime": {
"version": "2.0.1",
"resolved": "https://registry.npmjs.org/mrmime/-/mrmime-2.0.1.tgz",
@@ -5008,7 +5010,7 @@
},
"node_modules/pretty-format": {
"version": "27.5.1",
"resolved": "https://registry.npmmirror.com/pretty-format/-/pretty-format-27.5.1.tgz",
"resolved": "https://registry.npmjs.org/pretty-format/-/pretty-format-27.5.1.tgz",
"integrity": "sha512-Qb1gy5OrP5+zDf2Bvnzdl3jsTf1qXVMazbvCoKhtKqVs4/YK4ozX4gKQJJVyNe+cajNPn0KoC0MC3FUmaHWEmQ==",
"dev": true,
"license": "MIT",
@@ -5024,7 +5026,7 @@
},
"node_modules/pretty-format/node_modules/ansi-styles": {
"version": "5.2.0",
"resolved": "https://registry.npmmirror.com/ansi-styles/-/ansi-styles-5.2.0.tgz",
"resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-5.2.0.tgz",
"integrity": "sha512-Cxwpt2SfTzTtXcfOlzGEee8O+c+MmUgGrNiBcXnuWxuFJHe6a5Hz7qwhwe5OgaSYI0IJvkLqWX1ASG+cJOkEiA==",
"dev": true,
"license": "MIT",
@@ -5036,6 +5038,14 @@
"url": "https://github.com/chalk/ansi-styles?sponsor=1"
}
},
"node_modules/pretty-format/node_modules/react-is": {
"version": "17.0.2",
"resolved": "https://registry.npmjs.org/react-is/-/react-is-17.0.2.tgz",
"integrity": "sha512-w2GsyukL62IJnlaff/nRegPQR94C/XXamvMWmSHRJ4y7Ts/4ocGRmTHvOs8PSE6pB3dWOrD/nueuU5sduBsQ4w==",
"dev": true,
"license": "MIT",
"peer": true
},
"node_modules/proxy-from-env": {
"version": "2.1.0",
"resolved": "https://registry.npmjs.org/proxy-from-env/-/proxy-from-env-2.1.0.tgz",
@@ -5733,14 +5743,6 @@
"react": "^18.3.1"
}
},
"node_modules/react-is": {
"version": "17.0.2",
"resolved": "https://registry.npmmirror.com/react-is/-/react-is-17.0.2.tgz",
"integrity": "sha512-w2GsyukL62IJnlaff/nRegPQR94C/XXamvMWmSHRJ4y7Ts/4ocGRmTHvOs8PSE6pB3dWOrD/nueuU5sduBsQ4w==",
"dev": true,
"license": "MIT",
"peer": true
},
"node_modules/react-refresh": {
"version": "0.17.0",
"resolved": "https://registry.npmjs.org/react-refresh/-/react-refresh-0.17.0.tgz",
-1
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@@ -23,7 +23,6 @@
"@tanstack/react-query": "^5.45.0",
"antd": "^5.18.0",
"axios": "^1.7.2",
"mp4box": "^2.4.1",
"react": "^18.3.1",
"react-dom": "^18.3.1",
"react-router-dom": "^6.24.0",
-2
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@@ -1,2 +0,0 @@
allowBuilds:
esbuild: set this to true or false
+443
View File
@@ -0,0 +1,443 @@
/**
* 素材相关 API
* Phase 1 重构:去掉 project_id,素材直接归属用户
*/
import apiClient from "./client"
import { getOrCreateDefaultProject } from "./projects"
/** 素材元数据 */
export interface AssetMetadata {
/** 时长(秒) */
duration?: number
/** 宽度(像素) */
width?: number
/** 高度(像素) */
height?: number
/** 比特率(bps */
bitrate?: number
/** 编码格式 */
codec?: string
/** 帧率 */
fps?: number
/** 采样率(Hz */
sample_rate?: number
/** 声道数 */
channels?: number
/** 其他扩展字段 */
[key: string]: unknown
}
/** 素材分类状态 */
export type AssetClassificationStatus = "pending" | "processing" | "completed" | "failed"
/** 素材条目 */
export interface AssetItem {
id: string
library_id: string
name: string
storage_key: string
mime_type: string
metadata: AssetMetadata
file_size?: number
file_url?: string
thumbnail_url?: string
/** 时长(秒),视频/音频素材由后端从 metadata 提取到顶层 */
duration?: number
status?: string
classification_status?: AssetClassificationStatus | null
quality_score?: number | null
tag_ids?: string[]
created_at?: string
}
/** 素材库 */
export interface AssetLibraryItem {
id: string
name: string
kind: "video" | "voice" | "image"
asset_count?: number
total_size?: number
created_at?: string
}
/** 入库任务 */
export interface IngestJob {
id: string
library_id: string
storage_key: string
status: "pending" | "processing" | "completed" | "failed"
error_message: string
result_asset_id: string
}
/** 分类任务 */
export interface ClassificationJob {
id: string
asset_id: string
status: "pending" | "processing" | "completed" | "failed"
classification: string
confidence: number
error_message: string
}
/** 素材诊断信息 */
export interface AssetDiagnosis {
readiness_score: number
readiness_label: string
total_assets: number
ready_assets: number
video_assets: number
image_assets: number
voice_assets: number
total_duration_seconds: number
estimated_video_count: number
used_assets: number
unused_assets: number
pending_review_assets: number
smart_views: Array<{
key: string
label: string
count: number
description: string
}>
gaps: Array<{
key: string
severity: "critical" | "warning" | "info"
message: string
recommendation: string
}>
}
// ─── 素材诊断 ──────────────────────────────────────────────
/** 获取素材诊断信息(可选 asset_id 查单素材,否则全局诊断) */
export const getAssetDiagnosis = async (assetId?: string): Promise<AssetDiagnosis> => {
const params: Record<string, string> = {}
if (assetId) params.asset_id = assetId
const response = await apiClient.get("/asset-diagnosis", { params })
return response.data
}
// ─── 素材库 ────────────────────────────────────────────────
/** 获取当前用户的所有素材库 */
export const getAssetLibraries = async (): Promise<AssetLibraryItem[]> => {
const response = await apiClient.get("/asset-libraries")
return response.data.items || []
}
/** 创建素材库(自动获取或创建默认项目以提供 project_id */
export const createAssetLibrary = async (data: {
name: string
kind: "video" | "voice" | "image"
}): Promise<AssetLibraryItem> => {
// 后端要求 project_id,前端自动管理默认项目
const project = await getOrCreateDefaultProject()
const response = await apiClient.post("/asset-libraries", {
project_id: project.id,
...data,
})
return response.data
}
/** 确保项目下指定 kind 的默认素材库存在(不存在则自动创建) */
export const ensureDefaultLibrary = async (data: {
project_id: string
kind: "video" | "voice" | "image"
}): Promise<AssetLibraryItem> => {
const response = await apiClient.post("/asset-libraries/ensure-default", data)
return response.data
}
/** 删除素材库 */
export const deleteAssetLibrary = async (libraryId: string): Promise<void> => {
await apiClient.delete(`/asset-libraries/${libraryId}`)
}
// ─── 素材 ──────────────────────────────────────────────────
/** 获取素材库下的所有素材 */
export const getAssets = async (
libraryId: string,
options?: { status?: string; page?: number; page_size?: number },
): Promise<{ items: AssetItem[]; total: number }> => {
const params: Record<string, string | number> = { library_id: libraryId }
// 默认拉取所有非删除状态的素材(ready/ingesting/processing/uploading/error/failed
// 让用户能看到"处理中"的素材,不会以为上传失败了
if (options?.status) {
params.status = options.status
}
if (options?.page) params.page = options.page
if (options?.page_size) params.page_size = options.page_size
const response = await apiClient.get("/assets", { params })
const data = response.data || {}
const items: AssetItem[] = data.items || []
const total: number = typeof data.total === "number" ? data.total : items.length
return { items, total }
}
/** 按类型获取素材(如 voice/video/image),支持可选筛选 */
export const getAssetsByKind = async (
kind: string,
filters?: {
keyword?: string
gender?: string
style?: string
tag_ids?: string[]
limit?: number
page?: number
page_size?: number
},
): Promise<AssetItem[]> => {
const params: Record<string, string | number> = { kind }
if (filters?.keyword) params.keyword = filters.keyword
if (filters?.gender) params.gender = filters.gender
if (filters?.style) params.style = filters.style
if (filters?.tag_ids?.length) params.tag_ids = filters.tag_ids.join(",")
if (filters?.limit) params.limit = filters.limit
if (filters?.page) params.page = filters.page
if (filters?.page_size) params.page_size = filters.page_size
const response = await apiClient.get("/assets", { params })
return response.data.items || []
}
/** 创建素材(上传文件后调用,附带 metadata) */
export const createAsset = async (data: {
library_id: string
name: string
storage_key: string
mime_type: string
metadata?: AssetMetadata
}): Promise<AssetItem> => {
const response = await apiClient.post("/assets", data)
return response.data
}
/** 更新素材(名称、metadata 等) */
export const updateAsset = async (
assetId: string,
data: { name?: string; metadata?: AssetMetadata },
): Promise<AssetItem> => {
const response = await apiClient.put(`/assets/${assetId}`, data)
return response.data
}
/** 更新素材审核状态 */
export const updateAssetReviewStatus = async (
assetId: string,
reviewStatus: "pending_review" | "approved" | "rejected",
): Promise<AssetItem> => {
const response = await apiClient.patch(`/assets/${assetId}/review`, {
review_status: reviewStatus,
})
return response.data
}
/** 删除素材 */
export const deleteAsset = async (assetId: string): Promise<void> => {
await apiClient.delete(`/assets/${assetId}`)
}
// ─── 上传 ──────────────────────────────────────────────────
/** 表单上传素材(小文件) */
export const uploadAsset = async (
formData: FormData,
): Promise<{ storage_key: string; ingest_job_id: string; url: string }> => {
const response = await apiClient.post("/upload", formData, {
headers: { "Content-Type": "multipart/form-data" },
timeout: 30 * 60 * 1000,
})
return response.data
}
/** 预签名直传准备 */
export const prepareDirectUpload = async (data: {
project_id: string
library_id: string
filename: string
content_type: string
file_size: number
}): Promise<{
upload_url: string
method: string
storage_key: string
expires_at: string
fields: Record<string, string>
max_size_bytes: number
}> => {
const response = await apiClient.post("/upload/direct/prepare", data)
return response.data
}
/** 直传完成确认 */
export const completeDirectUpload = async (data: {
project_id: string
library_id: string
storage_key: string
}): Promise<{ storage_key: string; ingest_job_id: string }> => {
const response = await apiClient.post("/upload/direct/complete", data)
return response.data
}
/** 直传上传(大文件推荐),支持可选进度回调 */
export const uploadAssetDirect = async (data: {
file: File
library_id: string
onProgress?: (percent: number) => void
}): Promise<{ storage_key: string; ingest_job_id: string }> => {
// 后端要求 project_id,前端自动获取默认项目
const project = await getOrCreateDefaultProject()
const prepared = await prepareDirectUpload({
project_id: project.id,
library_id: data.library_id,
filename: data.file.name,
content_type: data.file.type || "application/octet-stream",
file_size: data.file.size,
})
const directForm = new FormData()
Object.entries(prepared.fields).forEach(([key, value]) => directForm.append(key, value))
directForm.append("file", data.file)
// 使用 XMLHttpRequest 以获取上传进度 + 超时控制 + 详细错误诊断
await new Promise<void>((resolve, reject) => {
const xhr = new XMLHttpRequest()
xhr.open(prepared.method, prepared.upload_url)
// 超时 10 分钟
xhr.timeout = 10 * 60 * 1000
xhr.upload.onprogress = (e) => {
if (e.lengthComputable && data.onProgress) {
data.onProgress(Math.round((e.loaded / e.total) * 100))
}
}
xhr.onload = () => {
if (xhr.status >= 200 && xhr.status < 300) {
resolve()
} else {
// 解析 OSS 返回的 XML 错误信息
let ossError = ""
try {
const codeMatch = xhr.responseText.match(/<Code>([^<]+)<\/Code>/)
const msgMatch = xhr.responseText.match(/<Message>([^<]+)<\/Message>/)
if (codeMatch || msgMatch) {
ossError = ` [OSS: ${codeMatch?.[1] || "unknown"} - ${msgMatch?.[1] || "unknown"}]`
}
} catch {
// 无法解析响应体
}
const detail = `OSS 直传失败: HTTP ${xhr.status} ${xhr.statusText}${ossError}`
console.error("[OSS Upload] 直传失败:", {
url: prepared.upload_url,
storage_key: prepared.storage_key,
status: xhr.status,
statusText: xhr.statusText,
})
reject(new Error(detail))
}
}
xhr.onerror = () => {
console.error("[OSS Upload] 网络错误:", {
url: prepared.upload_url,
storage_key: prepared.storage_key,
})
reject(new Error("OSS 上传网络错误,请检查网络连接"))
}
xhr.ontimeout = () => {
console.error("[OSS Upload] 上传超时:", {
url: prepared.upload_url,
storage_key: prepared.storage_key,
})
reject(new Error("OSS 上传超时(10分钟),请检查网络或尝试更小的文件"))
}
xhr.send(directForm)
})
return completeDirectUpload({
project_id: project.id,
library_id: data.library_id,
storage_key: prepared.storage_key,
})
}
// ─── 入库 / 分类任务 ───────────────────────────────────────
/** 查询入库任务状态 */
export const getIngestJob = async (jobId: string): Promise<IngestJob> => {
const response = await apiClient.get(`/ingest-jobs/${jobId}`)
return response.data
}
/** 提交素材分类任务 */
export const submitClassificationJob = async (data: {
asset_id: string
}): Promise<ClassificationJob> => {
const response = await apiClient.post("/classification-jobs", data)
return response.data
}
/** 查询分类任务状态 */
export const getClassificationJob = async (jobId: string): Promise<ClassificationJob> => {
const response = await apiClient.get(`/classification-jobs/${jobId}`)
return response.data
}
// ─── 批量操作 ───────────────────────────────────────────────
/** 批量操作结果 */
export interface BatchOperationResult {
succeeded: string[]
failed: string[]
total: number
success_count: number
failure_count: number
}
/** 统一批量操作结果归一化,防御后端字段缺失或格式不一致 */
const normalizeBatchResult = (raw: Record<string, unknown>): BatchOperationResult => {
const succeeded = Array.isArray(raw.succeeded) ? (raw.succeeded as string[]) : []
const failed = Array.isArray(raw.failed) ? (raw.failed as string[]) : []
const success_count = typeof raw.success_count === "number" ? raw.success_count : succeeded.length
const failure_count = typeof raw.failure_count === "number" ? raw.failure_count : failed.length
const total = typeof raw.total === "number" ? raw.total : success_count + failure_count
return { succeeded, failed, total, success_count, failure_count }
}
/** 批量删除素材 */
export const batchDeleteAssets = async (assetIds: string[]): Promise<BatchOperationResult> => {
const response = await apiClient.post("/assets/batch-delete", {
asset_ids: assetIds,
})
return normalizeBatchResult((response.data || {}) as Record<string, unknown>)
}
/** 批量打标签 */
export const batchTagAssets = async (data: {
asset_ids: string[]
tags: string[]
mode: "add" | "replace"
}): Promise<BatchOperationResult> => {
const response = await apiClient.post("/assets/batch-tag", data)
return normalizeBatchResult((response.data || {}) as Record<string, unknown>)
}
/** 批量改分类 */
export const batchClassifyAssets = async (data: {
asset_ids: string[]
category: string
}): Promise<BatchOperationResult> => {
const response = await apiClient.post("/assets/batch-classify", data)
return normalizeBatchResult((response.data || {}) as Record<string, unknown>)
}
/** 批量智能标记 */
export const batchMarkAssets = async (data: {
asset_ids: string[]
smart_view: "recommended" | "caution" | "high_risk"
}): Promise<BatchOperationResult> => {
const response = await apiClient.post("/assets/batch-mark", data)
return normalizeBatchResult((response.data || {}) as Record<string, unknown>)
}
-86
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@@ -1,86 +0,0 @@
/**
* 素材 CRUD API
*/
import apiClient from "../client"
import type { AssetItem, AssetMetadata } from "./types"
/** 获取素材库下的所有素材 */
export const getAssets = async (
libraryId: string,
options?: {
status?: string
page?: number
page_size?: number
},
): Promise<{ items: AssetItem[]; total: number }> => {
const params: Record<string, string | number> = { library_id: libraryId }
if (options?.status) params.status = options.status
if (options?.page) params.page = options.page
if (options?.page_size) params.page_size = options.page_size
const response = await apiClient.get("/assets", { params })
const data = response.data || {}
const items: AssetItem[] = data.items || []
const total: number = typeof data.total === "number" ? data.total : items.length
return { items, total }
}
/** 按类型获取素材(如 voice/video/image),支持可选筛选 */
export const getAssetsByKind = async (
kind: string,
filters?: {
keyword?: string
gender?: string
style?: string
tag_ids?: string[]
limit?: number
page?: number
page_size?: number
},
): Promise<AssetItem[]> => {
const params: Record<string, string | number> = { kind }
if (filters?.keyword) params.keyword = filters.keyword
if (filters?.gender) params.gender = filters.gender
if (filters?.style) params.style = filters.style
if (filters?.tag_ids?.length) params.tag_ids = filters.tag_ids.join(",")
if (filters?.limit) params.limit = filters.limit
if (filters?.page) params.page = filters.page
if (filters?.page_size) params.page_size = filters.page_size
const response = await apiClient.get("/assets", { params })
return response.data.items || []
}
/**
* 智能匹配素材(后端 AI 选素材)
* 调用后端 smart-match 端点,由后端根据素材库内容智能选择素材
*/
export const smartMatchAssets = async (libraryId: string): Promise<{ items: AssetItem[] }> => {
const response = await apiClient.post("/assets/smart-match", {
library_id: libraryId,
})
return response.data
}
/** 更新素材(名称、metadata 等) */
export const updateAsset = async (
assetId: string,
data: { name?: string; metadata?: AssetMetadata },
): Promise<AssetItem> => {
const response = await apiClient.put(`/assets/${assetId}`, data)
return response.data
}
/** 更新素材审核状态 */
export const updateAssetReviewStatus = async (
assetId: string,
reviewStatus: "pending_review" | "approved" | "rejected",
): Promise<AssetItem> => {
const response = await apiClient.patch(`/assets/${assetId}/review`, {
review_status: reviewStatus,
})
return response.data
}
/** 删除素材 */
export const deleteAsset = async (assetId: string): Promise<void> => {
await apiClient.delete(`/assets/${assetId}`)
}
-51
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@@ -1,51 +0,0 @@
/**
* 素材批量操作 API
*/
import apiClient from "../client"
import type { BatchOperationResult } from "./types"
/** 统一批量操作结果归一化,防御后端字段缺失或格式不一致 */
export const normalizeBatchResult = (raw: Record<string, unknown>): BatchOperationResult => {
const succeeded = Array.isArray(raw.succeeded) ? (raw.succeeded as string[]) : []
const failed = Array.isArray(raw.failed) ? (raw.failed as string[]) : []
const success_count = typeof raw.success_count === "number" ? raw.success_count : succeeded.length
const failure_count = typeof raw.failure_count === "number" ? raw.failure_count : failed.length
const total = typeof raw.total === "number" ? raw.total : success_count + failure_count
return { succeeded, failed, total, success_count, failure_count }
}
/** 批量删除素材 */
export const batchDeleteAssets = async (assetIds: string[]): Promise<BatchOperationResult> => {
const response = await apiClient.post("/assets/batch-delete", {
asset_ids: assetIds,
})
return normalizeBatchResult((response.data || {}) as Record<string, unknown>)
}
/** 批量打标签 */
export const batchTagAssets = async (data: {
asset_ids: string[]
tags: string[]
mode: "add" | "replace"
}): Promise<BatchOperationResult> => {
const response = await apiClient.post("/assets/batch-tag", data)
return normalizeBatchResult((response.data || {}) as Record<string, unknown>)
}
/** 批量改分类 */
export const batchClassifyAssets = async (data: {
asset_ids: string[]
category: string
}): Promise<BatchOperationResult> => {
const response = await apiClient.post("/assets/batch-classify", data)
return normalizeBatchResult((response.data || {}) as Record<string, unknown>)
}
/** 批量智能标记 */
export const batchMarkAssets = async (data: {
asset_ids: string[]
smart_view: "recommended" | "caution" | "high_risk"
}): Promise<BatchOperationResult> => {
const response = await apiClient.post("/assets/batch-mark", data)
return normalizeBatchResult((response.data || {}) as Record<string, unknown>)
}
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@@ -1,13 +0,0 @@
/**
* 素材诊断 API
*/
import apiClient from "../client"
import type { AssetDiagnosis } from "./types"
/** 获取素材诊断信息(可选 asset_id 查单素材,否则全局诊断) */
export const getAssetDiagnosis = async (assetId?: string): Promise<AssetDiagnosis> => {
const params: Record<string, string> = {}
if (assetId) params.asset_id = assetId
const response = await apiClient.get("/asset-diagnosis", { params })
return response.data
}
-54
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@@ -1,54 +0,0 @@
/**
* 素材相关 API — 按模块拆分后的统一入口
* 保持与原 assets.ts 相同的导出结构,向后兼容
*/
// 类型
export type {
AssetMetadata,
AssetClassificationStatus,
AssetItem,
AssetLibraryItem,
IngestJob,
ClassificationJob,
AssetDiagnosis,
BatchOperationResult,
DirectUploadPrepareResult,
DirectUploadCompleteResult,
} from "./types"
// 素材诊断
export { getAssetDiagnosis } from "./diagnosis"
// 素材库
export {
getAssetLibraries,
createAssetLibrary,
ensureDefaultLibrary,
deleteAssetLibrary,
} from "./libraries"
// 素材 CRUD + 智能匹配
export {
getAssets,
getAssetsByKind,
smartMatchAssets,
updateAsset,
updateAssetReviewStatus,
deleteAsset,
} from "./assets"
// 上传
export { prepareDirectUpload, completeDirectUpload, uploadAssetDirect } from "./upload"
// 任务
export { getIngestJob, submitClassificationJob, getClassificationJob } from "./jobs"
// 批量操作
export {
normalizeBatchResult,
batchDeleteAssets,
batchTagAssets,
batchClassifyAssets,
batchMarkAssets,
} from "./batch"
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@@ -1,25 +0,0 @@
/**
* 入库任务 & 分类任务 API
*/
import apiClient from "../client"
import type { IngestJob, ClassificationJob } from "./types"
/** 查询入库任务状态 */
export const getIngestJob = async (jobId: string): Promise<IngestJob> => {
const response = await apiClient.get(`/ingest-jobs/${jobId}`)
return response.data
}
/** 提交素材分类任务 */
export const submitClassificationJob = async (data: {
asset_id: string
}): Promise<ClassificationJob> => {
const response = await apiClient.post("/classification-jobs", data)
return response.data
}
/** 查询分类任务状态 */
export const getClassificationJob = async (jobId: string): Promise<ClassificationJob> => {
const response = await apiClient.get(`/classification-jobs/${jobId}`)
return response.data
}
-39
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@@ -1,39 +0,0 @@
/**
* 素材库 API
*/
import apiClient from "../client"
import { getOrCreateDefaultProject } from "../projects"
import type { AssetLibraryItem } from "./types"
/** 获取当前用户的所有素材库 */
export const getAssetLibraries = async (): Promise<AssetLibraryItem[]> => {
const response = await apiClient.get("/asset-libraries")
return response.data.items || []
}
/** 创建素材库(自动获取或创建默认项目以提供 project_id */
export const createAssetLibrary = async (data: {
name: string
kind: "video" | "voice" | "image"
}): Promise<AssetLibraryItem> => {
const project = await getOrCreateDefaultProject()
const response = await apiClient.post("/asset-libraries", {
project_id: project.id,
...data,
})
return response.data
}
/** 确保项目下指定 kind 的默认素材库存在 */
export const ensureDefaultLibrary = async (data: {
project_id: string
kind: "video" | "voice" | "image"
}): Promise<AssetLibraryItem> => {
const response = await apiClient.post("/asset-libraries/ensure-default", data)
return response.data
}
/** 删除素材库 */
export const deleteAssetLibrary = async (libraryId: string): Promise<void> => {
await apiClient.delete(`/asset-libraries/${libraryId}`)
}
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/**
* 素材相关类型定义
*/
/** 素材元数据 */
export interface AssetMetadata {
/** 时长(秒) */
duration?: number
/** 宽度(像素) */
width?: number
/** 高度(像素) */
height?: number
/** 比特率(bps */
bitrate?: number
/** 编码格式 */
codec?: string
/** 帧率 */
fps?: number
/** 采样率(Hz */
sample_rate?: number
/** 声道数 */
channels?: number
/** 其他扩展字段 */
[key: string]: unknown
}
/** 素材分类状态 */
export type AssetClassificationStatus = "pending" | "processing" | "completed" | "failed"
/** 素材条目 */
export interface AssetItem {
id: string
library_id: string
name: string
storage_key: string
mime_type: string
metadata: AssetMetadata
file_size?: number
file_url?: string
thumbnail_url?: string
/** 时长(秒),视频/音频素材由后端从 metadata 提取到顶层 */
duration?: number
status?: string
classification_status?: AssetClassificationStatus | null
quality_score?: number | null
tag_ids?: string[]
created_at?: string
}
/** 素材库 */
export interface AssetLibraryItem {
id: string
name: string
kind: "video" | "voice" | "image"
asset_count?: number
total_size?: number
created_at?: string
}
/** 入库任务 */
export interface IngestJob {
id: string
library_id: string
storage_key: string
status: "pending" | "processing" | "completed" | "failed"
error_message: string
result_asset_id: string
}
/** 分类任务 */
export interface ClassificationJob {
id: string
asset_id: string
status: "pending" | "processing" | "completed" | "failed"
classification: string
confidence: number
error_message: string
}
/** 素材诊断信息 */
export interface AssetDiagnosis {
readiness_score: number
readiness_label: string
total_assets: number
ready_assets: number
video_assets: number
image_assets: number
voice_assets: number
total_duration_seconds: number
estimated_video_count: number
used_assets: number
unused_assets: number
pending_review_assets: number
smart_views: Array<{
key: string
label: string
count: number
description: string
}>
gaps: Array<{
key: string
severity: "critical" | "warning" | "info"
message: string
recommendation: string
}>
}
/** 批量操作结果 */
export interface BatchOperationResult {
succeeded: string[]
failed: string[]
total: number
success_count: number
failure_count: number
}
/** 上传返回 */
export interface UploadResult {
storage_key: string
ingest_job_id: string
url: string
}
/** 预签名直传准备返回 */
export interface DirectUploadPrepareResult {
upload_url: string
method: string
storage_key: string
expires_at: string
fields: Record<string, string>
max_size_bytes: number
}
/** 直传完成确认返回 */
export interface DirectUploadCompleteResult {
storage_key: string
ingest_job_id: string
url: string
}
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/**
* 上传相关 API(表单上传 + OSS 直传)
*/
import apiClient from "../client"
import { getOrCreateDefaultProject } from "../projects"
import type { DirectUploadPrepareResult, DirectUploadCompleteResult } from "./types"
/** 预签名直传准备 */
export const prepareDirectUpload = async (data: {
project_id: string
library_id: string
filename: string
content_type: string
file_size: number
}): Promise<DirectUploadPrepareResult> => {
const response = await apiClient.post("/upload/direct/prepare", data)
return response.data
}
/** 直传完成确认 */
export const completeDirectUpload = async (data: {
project_id: string
library_id: string
storage_key: string
}): Promise<DirectUploadCompleteResult> => {
const response = await apiClient.post("/upload/direct/complete", data)
return response.data
}
/** 直传上传(大文件推荐),支持可选进度回调 */
export const uploadAssetDirect = async (data: {
file: File
library_id: string
onProgress?: (percent: number) => void
}): Promise<DirectUploadCompleteResult> => {
const project = await getOrCreateDefaultProject()
const prepared = await prepareDirectUpload({
project_id: project.id,
library_id: data.library_id,
filename: data.file.name,
content_type: data.file.type || "application/octet-stream",
file_size: data.file.size,
})
const directForm = new FormData()
Object.entries(prepared.fields).forEach(([key, value]) => directForm.append(key, value))
directForm.append("file", data.file)
// 使用 XMLHttpRequest 以获取上传进度 + 超时控制 + 详细错误诊断
await new Promise<void>((resolve, reject) => {
const xhr = new XMLHttpRequest()
xhr.open(prepared.method, prepared.upload_url)
// 超时 10 分钟
xhr.timeout = 10 * 60 * 1000
xhr.upload.onprogress = (e) => {
if (e.lengthComputable && data.onProgress) {
data.onProgress(Math.round((e.loaded / e.total) * 100))
}
}
xhr.onload = () => {
if (xhr.status >= 200 && xhr.status < 300) {
resolve()
} else {
// 解析 OSS 返回的 XML 错误信息
let ossError = ""
try {
const codeMatch = xhr.responseText.match(/<Code>([^<]+)<\/Code>/)
const msgMatch = xhr.responseText.match(/<Message>([^<]+)<\/Message>/)
if (codeMatch || msgMatch) {
ossError = ` [OSS: ${codeMatch?.[1] || "unknown"} - ${msgMatch?.[1] || "unknown"}]`
}
} catch {
// 无法解析响应体
}
const detail = `OSS 直传失败: HTTP ${xhr.status} ${xhr.statusText}${ossError}`
console.error("[OSS Upload] 直传失败:", {
url: prepared.upload_url,
storage_key: prepared.storage_key,
status: xhr.status,
statusText: xhr.statusText,
})
reject(new Error(detail))
}
}
xhr.onerror = () => {
console.error("[OSS Upload] 网络错误:", {
url: prepared.upload_url,
storage_key: prepared.storage_key,
})
reject(new Error("OSS 上传网络错误,请检查网络连接"))
}
xhr.ontimeout = () => {
console.error("[OSS Upload] 上传超时:", {
url: prepared.upload_url,
storage_key: prepared.storage_key,
})
reject(new Error("OSS 上传超时(10分钟),请检查网络或尝试更小的文件"))
}
xhr.send(directForm)
})
return completeDirectUpload({
project_id: project.id,
library_id: data.library_id,
storage_key: prepared.storage_key,
})
}
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/**
* 认证相关 API
*/
import axios from "axios"
import apiClient from "./client"
// 类型定义
export interface LoginRequest {
email: string
password: string
}
export interface LoginResponse {
access_token: string
refresh_token?: string | null
token_type: string
expires_in: number
user_id: string
email: string
username: string
display_name: string
}
export interface RegisterRequest {
email: string
password: string
username: string
display_name?: string
}
export interface User {
id: string
user_id: string
email: string
username: string
display_name: string
is_email_verified: boolean
email_verified: boolean
created_at?: string
}
export interface UserResponse {
id?: string
user_id?: string
email: string
username: string
display_name: string
is_email_verified?: boolean
email_verified?: boolean
created_at?: string
}
export const normalizeUser = (data: UserResponse): User => {
const userId = data.id ?? data.user_id ?? ""
const emailVerified = data.is_email_verified ?? data.email_verified ?? false
return {
id: userId,
user_id: userId,
email: data.email,
username: data.username,
display_name: data.display_name,
is_email_verified: emailVerified,
email_verified: emailVerified,
created_at: data.created_at,
}
}
// 登录
export const login = async (data: LoginRequest): Promise<LoginResponse> => {
const response = await apiClient.post("/auth/login", data)
return response.data
}
// 刷新 access_token(使用裸 axios 避免拦截器递归)
export const refreshAccessToken = async (refreshToken: string): Promise<LoginResponse> => {
const baseURL = apiClient.defaults.baseURL ?? ""
const response = await axios.post(`${baseURL}/auth/refresh`, {
refresh_token: refreshToken,
})
return response.data
}
// 注册
export const register = async (data: RegisterRequest): Promise<{ message: string }> => {
const response = await apiClient.post("/auth/register", data)
return response.data
}
// 登出
export const logout = async (): Promise<void> => {
await apiClient.post("/auth/logout")
}
// 获取当前用户
export const getCurrentUser = async (): Promise<User> => {
const response = await apiClient.get<UserResponse>("/auth/me")
return normalizeUser(response.data)
}
// 请求密码重置
export const requestPasswordReset = async (email: string): Promise<{ message: string }> => {
const response = await apiClient.post("/auth/forgot-password", { email })
return response.data
}
// 重置密码
export const resetPassword = async (
token: string,
newPassword: string,
): Promise<{ message: string }> => {
const response = await apiClient.post("/auth/reset-password", {
token,
new_password: newPassword,
})
return response.data
}
// 验证邮箱
export const verifyEmail = async (token: string): Promise<{ message: string }> => {
const response = await apiClient.post("/auth/verify-email", { token })
return response.data
}
/* ========== 微信登录 ========== */
export interface WechatAuthUrlResponse {
auth_url: string
state: string
}
export interface WechatCallbackResponse {
access_token: string
refresh_token?: string | null
user_id: string
display_name: string
avatar_url: string
is_new_user: boolean
binding_complete: boolean
expires_in: number
}
export interface SendVerificationCodeRequest {
target: "email" | "phone"
value: string
purpose: "bind" | "login" | "reset_password"
}
export interface BindContactRequest {
email?: string
email_code?: string
phone?: string
phone_code?: string
}
export interface BindContactResponse {
success: boolean
user: User
}
// 获取微信授权链接
export const getWechatAuthUrl = async (): Promise<WechatAuthUrlResponse> => {
const response = await apiClient.get("/auth/wechat/url")
return response.data
}
// 微信回调登录
export const wechatCallback = async (
code: string,
state: string,
): Promise<WechatCallbackResponse> => {
const response = await apiClient.post("/auth/wechat/callback", { code, state })
return response.data
}
// 发送验证码
export const sendVerificationCode = async (
data: SendVerificationCodeRequest,
): Promise<{ message: string }> => {
const response = await apiClient.post("/auth/send-verification-code", data)
return response.data
}
// 绑定联系方式
export const bindContact = async (data: BindContactRequest): Promise<BindContactResponse> => {
const response = await apiClient.post("/auth/bind-contact", data)
return response.data
}
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import apiClient from "../client"
import type { SendVerificationCodeRequest, BindContactRequest, BindContactResponse } from "./types"
/**
* 发送验证码
*/
export const sendVerificationCode = async (
data: SendVerificationCodeRequest,
): Promise<{ message: string }> => {
const response = await apiClient.post("/auth/send-verification-code", data)
return response.data
}
/**
* 绑定联系方式
*/
export const bindContact = async (data: BindContactRequest): Promise<BindContactResponse> => {
const response = await apiClient.post("/auth/bind-contact", data)
return response.data
}
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import apiClient from "../client"
import type { User, UserResponse } from "./types"
import { normalizeUser } from "./user"
/**
* 获取当前用户
*/
export const getCurrentUser = async (): Promise<User> => {
const response = await apiClient.get<UserResponse>("/auth/me")
return normalizeUser(response.data)
}
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import apiClient from "../client"
/**
* 验证邮箱
*/
export const verifyEmail = async (token: string): Promise<{ message: string }> => {
const response = await apiClient.post("/auth/verify-email", { token })
return response.data
}
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/**
* 认证相关 API
* 保持向后兼容,从子模块 re-export
*/
// 类型
export type {
LoginRequest,
LoginResponse,
RegisterRequest,
User,
UserResponse,
WechatAuthUrlResponse,
WechatCallbackResponse,
SendVerificationCodeRequest,
BindContactRequest,
BindContactResponse,
} from "./types"
// 用户工具函数
export { normalizeUser } from "./user"
// 登录/注册/登出/刷新
export { login, refreshAccessToken, register, logout } from "./login"
// 当前用户
export { getCurrentUser } from "./currentUser"
// 密码重置
export { requestPasswordReset, resetPassword } from "./password"
// 邮箱验证
export { verifyEmail } from "./email"
// 微信登录
export { getWechatAuthUrl, wechatCallback } from "./wechat"
// 联系方式
export { sendVerificationCode, bindContact } from "./contact"
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import axios from "axios"
import apiClient from "../client"
import type { LoginRequest, LoginResponse, RegisterRequest } from "./types"
/**
* 登录
*/
export const login = async (data: LoginRequest): Promise<LoginResponse> => {
const response = await apiClient.post("/auth/login", data)
return response.data
}
/**
* 刷新 access_token(使用裸 axios 避免拦截器递归)
*/
export const refreshAccessToken = async (refreshToken: string): Promise<LoginResponse> => {
const baseURL = apiClient.defaults.baseURL ?? ""
const response = await axios.post(`${baseURL}/auth/refresh`, {
refresh_token: refreshToken,
})
return response.data
}
/**
* 注册
*/
export const register = async (data: RegisterRequest): Promise<{ message: string }> => {
const response = await apiClient.post("/auth/register", data)
return response.data
}
/**
* 登出
*/
export const logout = async (): Promise<void> => {
await apiClient.post("/auth/logout")
}
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import apiClient from "../client"
/**
* 请求密码重置
*/
export const requestPasswordReset = async (email: string): Promise<{ message: string }> => {
const response = await apiClient.post("/auth/forgot-password", { email })
return response.data
}
/**
* 重置密码
*/
export const resetPassword = async (
token: string,
newPassword: string,
): Promise<{ message: string }> => {
const response = await apiClient.post("/auth/reset-password", {
token,
new_password: newPassword,
})
return response.data
}
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/**
* 主动 Token 刷新模块
*
* 在 access_token 过期前主动刷新,避免 API 请求触发 401。
* JWT payload 是 base64 编码的 JSON,无需第三方库即可解码。
*/
import { useAuthStore } from "@/store/authStore"
import { refreshAccessToken } from "./login"
let refreshTimer: ReturnType<typeof setTimeout> | null = null
/** 正在执行刷新操作的 Promise,防止主动刷新和 401 被动刷新并发竞争 */
let activeRefreshPromise: Promise<void> | null = null
/** 提前刷新的缓冲时间(秒) */
const REFRESH_BUFFER_SECONDS = 60
/**
* 解码 JWT payload(不验签,仅读取 exp 字段)
*/
function decodeJwtPayload(token: string): { exp?: number } | null {
try {
const parts = token.split(".")
if (parts.length !== 3) return null
// JWT 使用 base64url 编码,需要转换为标准 base64
const payload = parts[1].replace(/-/g, "+").replace(/_/g, "/")
const padded = payload + "=".repeat((4 - (payload.length % 4)) % 4)
const decoded = atob(padded)
return JSON.parse(decoded)
} catch {
return null
}
}
/**
* 取消已调度的主动刷新
*/
export function cancelProactiveRefresh(): void {
if (refreshTimer) {
clearTimeout(refreshTimer)
refreshTimer = null
}
}
/**
* 执行 token 刷新(带并发锁,供主动刷新和被动 401 共用)
* 返回当前刷新操作的 Promise;若已有刷新进行中则复用该 Promise。
*/
export function executeTokenRefresh(): Promise<void> | null {
// 已有刷新进行中 → 复用
if (activeRefreshPromise) {
return activeRefreshPromise
}
const { user, refreshToken: refreshTokenValue } = useAuthStore.getState()
// 安全检查:user 或 refreshToken 为空时跳过刷新
if (!user || !refreshTokenValue) {
return null
}
activeRefreshPromise = (async () => {
try {
const data = await refreshAccessToken(refreshTokenValue)
const newAccessToken = data.access_token
const newRefreshToken = data.refresh_token ?? refreshTokenValue
// 更新 Zustand store + localStorage
useAuthStore.getState().setAuth(user, newAccessToken, newRefreshToken)
// 递归调度下一次刷新
scheduleProactiveRefresh()
} catch {
// 刷新失败 → 清除认证状态,跳转登录页
cancelProactiveRefresh()
useAuthStore.getState().clearAuth()
window.location.href = "/login"
} finally {
activeRefreshPromise = null
}
})()
return activeRefreshPromise
}
/**
* 调度主动刷新:在 token 过期前 REFRESH_BUFFER_SECONDS 秒自动刷新
*/
export function scheduleProactiveRefresh(): void {
cancelProactiveRefresh()
// 统一从 Zustand store 读取(与 setAuth 写入保持一致)
const { accessToken, refreshToken: refreshTokenValue } = useAuthStore.getState()
if (!accessToken || !refreshTokenValue) return
const payload = decodeJwtPayload(accessToken)
if (!payload?.exp) return
const now = Math.floor(Date.now() / 1000)
const secondsUntilExpiry = payload.exp - now
// 如果 token 已经过期或即将在缓冲时间内过期,立即刷新
const delaySeconds = Math.max(secondsUntilExpiry - REFRESH_BUFFER_SECONDS, 0)
refreshTimer = setTimeout(() => {
executeTokenRefresh()
}, delaySeconds * 1000)
}
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/**
* 认证相关类型定义
*/
export interface LoginRequest {
email: string
password: string
}
export interface LoginResponse {
access_token: string
refresh_token?: string | null
token_type: string
expires_in: number
user_id: string
email: string
username: string
display_name: string
}
export interface RegisterRequest {
email: string
password: string
username: string
display_name?: string
}
export interface User {
id: string
user_id: string
email: string
username: string
display_name: string
is_email_verified: boolean
email_verified: boolean
created_at?: string
}
export interface UserResponse {
id?: string
user_id?: string
email: string
username: string
display_name: string
is_email_verified?: boolean
email_verified?: boolean
created_at?: string
}
export interface WechatAuthUrlResponse {
auth_url: string
state: string
}
export interface WechatCallbackResponse {
access_token: string
refresh_token?: string | null
user_id: string
display_name: string
avatar_url: string
is_new_user: boolean
binding_complete: boolean
expires_in: number
}
export interface SendVerificationCodeRequest {
target: "email" | "phone"
value: string
purpose: "bind" | "login" | "reset_password"
}
export interface BindContactRequest {
email?: string
email_code?: string
phone?: string
phone_code?: string
}
export interface BindContactResponse {
success: boolean
user: User
}
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import type { User, UserResponse } from "./types"
/**
* 规范化用户数据,兼容不同后端返回格式
*/
export const normalizeUser = (data: UserResponse): User => {
const userId = data.id ?? data.user_id ?? ""
const emailVerified = data.is_email_verified ?? data.email_verified ?? false
return {
id: userId,
user_id: userId,
email: data.email,
username: data.username,
display_name: data.display_name,
is_email_verified: emailVerified,
email_verified: emailVerified,
created_at: data.created_at,
}
}
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import apiClient from "../client"
import type { WechatAuthUrlResponse, WechatCallbackResponse } from "./types"
/**
* 获取微信授权链接
*/
export const getWechatAuthUrl = async (): Promise<WechatAuthUrlResponse> => {
const response = await apiClient.get("/auth/wechat/url")
return response.data
}
/**
* 微信回调登录
*/
export const wechatCallback = async (
code: string,
state: string,
): Promise<WechatCallbackResponse> => {
const response = await apiClient.post("/auth/wechat/callback", { code, state })
return response.data
}
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/**
* BGM 预设音乐 API
* 对接后端 BGM 混音能力:预设列表查询(按风格分类 + 关键词搜索)
*/
import apiClient from "./client"
/* ──────────── 类型 ──────────── */
/** BGM 风格分类 */
export type BgmCategory = "轻快" | "治愈" | "科技" | "电商"
/** BGM 预设项 */
export interface BgmPreset {
id: string
name: string
category: BgmCategory
/** 音频文件 URL */
url: string
/** 时长(秒) */
duration: number
/** 关键词标签 */
tags: string[]
/** 封面图 URL */
cover_url?: string
}
/** BGM 预设列表查询参数 */
export interface BgmPresetsQuery {
category?: BgmCategory | string
keyword?: string
}
/** BGM 混音配置(嵌入模板) */
export interface BgmMixConfig {
/** 是否启用 BGM */
enabled: boolean
/** 选中的 BGM ID */
music_id: string
/** BGM 音量 0-100 */
volume: number
/** 淡入时长(秒) 0-3 */
fade_in: number
/** 淡出时长(秒) 0-3 */
fade_out: number
/** 人声闪避(sidechain */
voice_dodge: boolean
}
/** 默认 BGM 混音配置 */
export const DEFAULT_BGM_MIX_CONFIG: BgmMixConfig = {
enabled: false,
music_id: "",
volume: 50,
fade_in: 0.5,
fade_out: 0.5,
voice_dodge: true,
}
/* ──────────── API ──────────── */
/** 获取 BGM 预设列表 */
export const getBgmPresets = async (params?: BgmPresetsQuery): Promise<BgmPreset[]> => {
const searchParams: Record<string, string> = {}
if (params?.category) searchParams.category = params.category
if (params?.keyword) searchParams.keyword = params.keyword
const res = await apiClient.get("/bgm/presets", { params: searchParams })
return res.data?.data ?? res.data ?? []
}
-14
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@@ -1,14 +0,0 @@
/**
* BGM 预设音乐 API 函数
*/
import apiClient from "../client"
import type { BgmPreset, BgmPresetsQuery } from "./types"
/** 获取 BGM 预设列表 */
export const getBgmPresets = async (params?: BgmPresetsQuery): Promise<BgmPreset[]> => {
const searchParams: Record<string, string> = {}
if (params?.category) searchParams.category = params.category
if (params?.keyword) searchParams.keyword = params.keyword
const res = await apiClient.get("/bgm/presets", { params: searchParams })
return res.data?.data ?? res.data ?? []
}
-14
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@@ -1,14 +0,0 @@
/**
* BGM 相关常量
*/
import type { BgmMixConfig } from "./types"
/** 默认 BGM 混音配置 */
export const DEFAULT_BGM_MIX_CONFIG: BgmMixConfig = {
enabled: false,
music_id: "",
volume: 50,
fade_in: 0.5,
fade_out: 0.5,
voice_dodge: true,
}
-13
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@@ -1,13 +0,0 @@
/**
* BGM API — 目录化入口
* 保持与原 bgm.ts 相同导出,向后兼容
*/
// 类型
export type { BgmCategory, BgmPreset, BgmPresetsQuery, BgmMixConfig } from "./types"
// 常量
export { DEFAULT_BGM_MIX_CONFIG } from "./constants"
// API 函数
export { getBgmPresets } from "./bgm"
-43
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@@ -1,43 +0,0 @@
/**
* BGM 相关类型定义
*/
/** BGM 风格分类 */
export type BgmCategory = "轻快" | "治愈" | "科技" | "电商"
/** BGM 预设项 */
export interface BgmPreset {
id: string
name: string
category: BgmCategory
/** 音频文件 URL */
url: string
/** 时长(秒) */
duration: number
/** 关键词标签 */
tags: string[]
/** 封面图 URL */
cover_url?: string
}
/** BGM 预设列表查询参数 */
export interface BgmPresetsQuery {
category?: BgmCategory | string
keyword?: string
}
/** BGM 混音配置(嵌入模板) */
export interface BgmMixConfig {
/** 是否启用 BGM */
enabled: boolean
/** 选中的 BGM ID */
music_id: string
/** BGM 音量 0-100 */
volume: number
/** 淡入时长(秒) 0-3 */
fade_in: number
/** 淡出时长(秒) 0-3 */
fade_out: number
/** 人声闪避(sidechain */
voice_dodge: boolean
}
Regular → Executable
+8 -18
View File
@@ -5,8 +5,7 @@
import axios, { AxiosError, InternalAxiosRequestConfig } from "axios"
import { message } from "antd"
import { useAuthStore } from "@/store/authStore"
import { cancelProactiveRefresh, executeTokenRefresh } from "./auth/tokenRefresh"
import { refreshAccessToken } from "./auth"
// 创建 Axios 实例
const apiClient = axios.create({
@@ -98,22 +97,14 @@ apiClient.interceptors.response.use(
isRefreshing = true
try {
// 使用共享的刷新函数(带并发锁 + 安全检查)
const refreshPromise = executeTokenRefresh()
if (!refreshPromise) {
// user 或 refreshToken 为空,无法刷新
cancelProactiveRefresh()
useAuthStore.getState().clearAuth()
window.location.href = "/"
return Promise.reject(new Error("Unable to refresh: missing user or refresh token"))
}
await refreshPromise
const data = await refreshAccessToken(refreshToken)
const newAccessToken = data.access_token
const newRefreshToken = data.refresh_token ?? refreshToken
// 获取刷新后的新 token
const newAccessToken = useAuthStore.getState().accessToken
if (!newAccessToken) {
return Promise.reject(new Error("Token refresh failed: no new access token"))
}
// 更新 Zustand + localStorage
useAuthStore
.getState()
.setAuth(useAuthStore.getState().user!, newAccessToken, newRefreshToken)
// 处理排队的请求
processQueue(null, newAccessToken)
@@ -125,7 +116,6 @@ apiClient.interceptors.response.use(
return apiClient(originalRequest)
} catch (refreshError) {
// 刷新失败 → 登出
cancelProactiveRefresh()
processQueue(refreshError, null)
useAuthStore.getState().clearAuth()
window.location.href = "/"
-53
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@@ -1,53 +0,0 @@
/**
* 封面模板 CRUD API
* 后端路由: /api/v1/cover-templates
*/
import apiClient from "./client"
import type { CoverTemplate } from "@/pages/generate/types/cover"
export interface CoverTemplateListResponse {
items: CoverTemplate[]
total: number
}
export interface CoverTemplateCreateRequest {
name: string
config?: {
background_enabled?: boolean
background_color?: string
portrait_enabled?: boolean
title_text?: string
subtitle_text?: string
mask_enabled?: boolean
}
}
export type CoverTemplateUpdateRequest = Partial<CoverTemplateCreateRequest>
/** 获取封面模板列表 */
export async function fetchCoverTemplates(): Promise<CoverTemplateListResponse> {
const response = await apiClient.get<CoverTemplateListResponse>("/cover-templates")
return response.data
}
/** 创建封面模板 */
export async function createCoverTemplate(
data: CoverTemplateCreateRequest,
): Promise<CoverTemplate> {
const response = await apiClient.post<CoverTemplate>("/cover-templates", data)
return response.data
}
/** 更新封面模板 */
export async function updateCoverTemplate(
id: string,
data: CoverTemplateUpdateRequest,
): Promise<CoverTemplate> {
const response = await apiClient.put<CoverTemplate>(`/cover-templates/${id}`, data)
return response.data
}
/** 删除封面模板(系统模板不可删) */
export async function deleteCoverTemplate(id: string): Promise<void> {
await apiClient.delete(`/cover-templates/${id}`)
}
@@ -1,6 +1,8 @@
/**
*
* API
*
*/
import apiClient from "./client"
/** 查重记录状态 */
export type DuplicationStatus = "pending" | "processing" | "completed" | "failed"
@@ -60,3 +62,38 @@ export interface DuplicationUploadResponse {
/** 消息 */
message: string
}
// ============ API 函数 ============
/** 上传视频进行查重 */
export const uploadForDuplication = async (file: File): Promise<DuplicationUploadResponse> => {
const formData = new FormData()
formData.append("file", file)
const response = await apiClient.post("/duplication/upload", formData, {
headers: { "Content-Type": "multipart/form-data" },
})
return response.data
}
/** 获取查重记录列表 */
export const getDuplicationRecords = async (): Promise<DuplicationRecord[]> => {
const response = await apiClient.get("/duplication/records")
return response.data
}
/** 获取查重详情 */
export const getDuplicationDetail = async (recordId: string): Promise<DuplicationDetail> => {
const response = await apiClient.get(`/duplication/records/${recordId}`)
return response.data
}
/** 删除查重记录 */
export const deleteDuplicationRecord = async (recordId: string): Promise<void> => {
await apiClient.delete(`/duplication/records/${recordId}`)
}
/** 重新查重 */
export const retryDuplication = async (recordId: string): Promise<DuplicationUploadResponse> => {
const response = await apiClient.post(`/duplication/records/${recordId}/retry`)
return response.data
}
@@ -1,38 +0,0 @@
/**
* 查重 API 函数
*/
import apiClient from "../client"
import type { DuplicationDetail, DuplicationRecord, DuplicationUploadResponse } from "./types"
/** 上传视频进行查重 */
export const uploadForDuplication = async (file: File): Promise<DuplicationUploadResponse> => {
const formData = new FormData()
formData.append("file", file)
const response = await apiClient.post("/duplication/upload", formData, {
headers: { "Content-Type": "multipart/form-data" },
})
return response.data
}
/** 获取查重记录列表 */
export const getDuplicationRecords = async (): Promise<DuplicationRecord[]> => {
const response = await apiClient.get("/duplication/records")
return response.data
}
/** 获取查重详情 */
export const getDuplicationDetail = async (recordId: string): Promise<DuplicationDetail> => {
const response = await apiClient.get(`/duplication/records/${recordId}`)
return response.data
}
/** 删除查重记录 */
export const deleteDuplicationRecord = async (recordId: string): Promise<void> => {
await apiClient.delete(`/duplication/records/${recordId}`)
}
/** 重新查重 */
export const retryDuplication = async (recordId: string): Promise<DuplicationUploadResponse> => {
const response = await apiClient.post(`/duplication/records/${recordId}/retry`)
return response.data
}
-22
View File
@@ -1,22 +0,0 @@
/**
* 查重 API — 目录化入口
* 保持与原 duplication.ts 相同导出,向后兼容
*/
// 类型
export type {
DuplicationStatus,
DuplicationRecord,
DuplicateSegment,
DuplicationDetail,
DuplicationUploadResponse,
} from "./types"
// API 函数
export {
uploadForDuplication,
getDuplicationRecords,
getDuplicationDetail,
deleteDuplicationRecord,
retryDuplication,
} from "./duplication"
+243
View File
@@ -0,0 +1,243 @@
/**
* 模板编辑器 API
* 对接后端 /api/v1/templates 路由
*/
import apiClient from "./client"
import type {
WatermarkConfig,
IntroOutroConfig,
PipConfig,
FilterConfig,
ChromaKeyConfig,
StickerConfig,
CoverConfig,
} from "@/pages/editing-planner/types"
/* ──────────── 类型定义 ──────────── */
/** 模板模式(后端枚举值) */
export type TemplateMode = "pip" | "voice_over" | "one_take" | "voice_pip"
/** 模式显示名称映射 */
export const MODE_LABELS: Record<TemplateMode, string> = {
pip: "混剪",
voice_over: "人物口播",
one_take: "一镜到底",
voice_pip: "口播+混剪",
}
/** 模式颜色映射 */
export const MODE_COLORS: Record<TemplateMode, string> = {
pip: "blue",
voice_over: "green",
one_take: "orange",
voice_pip: "purple",
}
/** 标题配置 */
export interface TitleConfig {
ai_auto_select: boolean
content: string
font_preset: string
font_color: string
font_size: number
position: string
}
/** 字幕配置 */
export interface SubtitleConfig {
enabled: boolean
position: string
font: string
color: string
size: number
animation: string
}
/** BGM 配置 */
export interface BgmConfig {
enabled: boolean
music_id: string
}
/** 模板片段 */
export interface TemplateSegment {
id?: string
segment_order: number
duration_min: number
duration_max: number
material_type: string | null
}
/** 剪辑模板 */
export interface EditingTemplate {
id: string
name: string
mode: TemplateMode
category: string
tags: string[]
title_config: TitleConfig
subtitle_config: SubtitleConfig
bgm_config: BgmConfig
estimated_duration: number
segments: TemplateSegment[]
/** 水印配置(后端就绪后启用) */
watermark_config?: WatermarkConfig
/** 片头片尾配置(后端就绪后启用) */
intro_outro_config?: IntroOutroConfig
/** 混剪配置 */
pip_config?: PipConfig
/** 滤镜调色配置 */
filter_config?: FilterConfig
/** 绿幕抠像配置 */
green_screen_config?: ChromaKeyConfig
/** 贴纸配置 */
sticker_config?: StickerConfig
/** 封面配置 */
cover_config?: CoverConfig
is_active?: boolean
created_at: string
updated_at: string
}
/** 模板分类 */
export interface TemplateCategory {
id: string
name: string
created_at?: string
}
/** 创建/更新模板请求体 */
export interface SaveTemplatePayload {
name: string
mode: TemplateMode
category: string
tags: string[]
title_config: TitleConfig
subtitle_config: SubtitleConfig
bgm_config: BgmConfig
estimated_duration: number
segments: Omit<TemplateSegment, "id">[]
/** 水印配置(后端就绪后启用) */
watermark_config?: WatermarkConfig
/** 片头片尾配置(后端就绪后启用) */
intro_outro_config?: IntroOutroConfig
/** 混剪配置 */
pip_config?: PipConfig
/** 滤镜调色配置 */
filter_config?: FilterConfig
/** 绿幕抠像配置 */
green_screen_config?: ChromaKeyConfig
/** 贴纸配置 */
sticker_config?: StickerConfig
/** 封面配置 */
cover_config?: CoverConfig
}
/** 使用模板生成请求体 */
export interface GenerateFromTemplatePayload {
voiceover_duration: number
}
/** 验证警告详情 */
export interface ValidationWarningDetails {
/** 相关字段名 */
field?: string
/** 期望值 */
expected?: string | number
/** 实际值 */
actual?: string | number
/** 建议值 */
suggested?: string | number
}
/** 验证/生成响应 */
export interface ValidateWarning {
code: string
message: string
details?: ValidationWarningDetails
}
/** 使用模板生成响应 */
export interface GenerateFromTemplateResponse {
template: EditingTemplate
warnings: ValidateWarning[]
}
/** 列表响应(带分页) */
export interface ListTemplatesResponse {
items: EditingTemplate[]
total: number
}
/** 分类列表响应 */
export interface ListCategoriesResponse {
items: TemplateCategory[]
}
// ============ API 函数 ============
/** 获取模板列表 */
export const getEditingTemplates = async (params?: {
category?: string
tag?: string
skip?: number
limit?: number
}): Promise<EditingTemplate[]> => {
const response = await apiClient.get<ListTemplatesResponse>("/templates", {
params: {
skip: params?.skip ?? 0,
limit: params?.limit ?? 50,
},
})
let list = response.data.items
if (params?.category) list = list.filter((t) => t.category === params.category)
if (params?.tag) list = list.filter((t) => t.tags.includes(params.tag!))
return list
}
/** 获取模板详情 */
export const getEditingTemplate = async (id: string): Promise<EditingTemplate> => {
const response = await apiClient.get<EditingTemplate>(`/templates/${id}`)
return response.data
}
/** 创建模板 */
export const createEditingTemplate = async (
data: SaveTemplatePayload,
): Promise<EditingTemplate> => {
const response = await apiClient.post<EditingTemplate>("/templates", data)
return response.data
}
/** 更新模板 */
export const updateEditingTemplate = async (
id: string,
data: SaveTemplatePayload,
): Promise<EditingTemplate> => {
const response = await apiClient.patch<EditingTemplate>(`/templates/${id}`, data)
return response.data
}
/** 删除模板 */
export const deleteEditingTemplate = async (id: string): Promise<void> => {
await apiClient.delete(`/templates/${id}`)
}
/** 获取模板分类列表 */
export const getTemplateCategories = async (): Promise<TemplateCategory[]> => {
const response = await apiClient.get<ListCategoriesResponse>("/templates/categories/list")
return response.data.items
}
/** 使用模板生成视频(调用 validate 端点) */
export const generateFromTemplate = async (
templateId: string,
data: GenerateFromTemplatePayload,
): Promise<GenerateFromTemplateResponse> => {
const response = await apiClient.post<GenerateFromTemplateResponse>(
`/templates/${templateId}/validate`,
data,
)
return response.data
}
@@ -1,20 +0,0 @@
/**
* 模板编辑器常量
*/
import type { TemplateMode } from "./types"
/** 模式显示名称映射 */
export const MODE_LABELS: Record<TemplateMode, string> = {
pip: "混剪",
voice_over: "人物口播",
one_take: "一镜到底",
voice_pip: "口播+混剪",
}
/** 模式颜色映射 */
export const MODE_COLORS: Record<TemplateMode, string> = {
pip: "blue",
voice_over: "green",
one_take: "orange",
voice_pip: "purple",
}
-36
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@@ -1,36 +0,0 @@
/**
* 模板编辑器 API — 目录化入口
* 保持与原 editing-planner.ts 相同导出,向后兼容
*/
// 类型
export type {
TemplateMode,
TitleConfig,
SubtitleConfig,
BgmConfig,
TemplateSegment,
EditingTemplate,
TemplateCategory,
SaveTemplatePayload,
GenerateFromTemplatePayload,
ValidationWarningDetails,
ValidateWarning,
GenerateFromTemplateResponse,
ListTemplatesResponse,
ListCategoriesResponse,
} from "./types"
// 常量
export { MODE_LABELS, MODE_COLORS } from "./constants"
// API 函数
export {
getEditingTemplates,
getEditingTemplate,
createEditingTemplate,
updateEditingTemplate,
deleteEditingTemplate,
getTemplateCategories,
generateFromTemplate,
} from "./templates"
@@ -1,78 +0,0 @@
/**
* 模板编辑器 API 函数
*/
import apiClient from "../client"
import type {
EditingTemplate,
TemplateCategory,
SaveTemplatePayload,
GenerateFromTemplatePayload,
GenerateFromTemplateResponse,
ListTemplatesResponse,
ListCategoriesResponse,
} from "./types"
/** 获取模板列表 */
export const getEditingTemplates = async (params?: {
category?: string
tag?: string
skip?: number
limit?: number
}): Promise<EditingTemplate[]> => {
const response = await apiClient.get<ListTemplatesResponse>("/templates", {
params: {
skip: params?.skip ?? 0,
limit: params?.limit ?? 50,
},
})
let list = response.data.items
if (params?.category) list = list.filter((t) => t.category === params.category)
if (params?.tag) list = list.filter((t) => t.tags.includes(params.tag!))
return list
}
/** 获取模板详情 */
export const getEditingTemplate = async (id: string): Promise<EditingTemplate> => {
const response = await apiClient.get<EditingTemplate>(`/templates/${id}`)
return response.data
}
/** 创建模板 */
export const createEditingTemplate = async (
data: SaveTemplatePayload,
): Promise<EditingTemplate> => {
const response = await apiClient.post<EditingTemplate>("/templates", data)
return response.data
}
/** 更新模板 */
export const updateEditingTemplate = async (
id: string,
data: SaveTemplatePayload,
): Promise<EditingTemplate> => {
const response = await apiClient.patch<EditingTemplate>(`/templates/${id}`, data)
return response.data
}
/** 删除模板 */
export const deleteEditingTemplate = async (id: string): Promise<void> => {
await apiClient.delete(`/templates/${id}`)
}
/** 获取模板分类列表 */
export const getTemplateCategories = async (): Promise<TemplateCategory[]> => {
const response = await apiClient.get<ListCategoriesResponse>("/templates/categories/list")
return response.data.items
}
/** 使用模板生成视频(调用 validate 端点) */
export const generateFromTemplate = async (
templateId: string,
data: GenerateFromTemplatePayload,
): Promise<GenerateFromTemplateResponse> => {
const response = await apiClient.post<GenerateFromTemplateResponse>(
`/templates/${templateId}/validate`,
data,
)
return response.data
}
-138
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@@ -1,138 +0,0 @@
/**
* 模板编辑器类型定义
*/
import type {
WatermarkConfig,
IntroOutroConfig,
PipConfig,
FilterConfig,
ChromaKeyConfig,
StickerConfig,
} from "@/pages/editing-planner/types"
import type { CoverConfig } from "@/pages/generate/types/cover"
/** 模板模式(后端枚举值) */
export type TemplateMode = "pip" | "voice_over" | "one_take" | "voice_pip"
/** 标题配置 */
export interface TitleConfig {
ai_auto_select: boolean
content: string
font_preset: string
font_color: string
font_size: number
position: string
}
/** 字幕配置 */
export interface SubtitleConfig {
enabled: boolean
position: string
font: string
color: string
size: number
animation: string
}
/** BGM 配置 */
export interface BgmConfig {
enabled: boolean
music_id: string
}
/** 模板片段 */
export interface TemplateSegment {
id?: string
segment_order: number
duration_min: number
duration_max: number
material_type: string | null
}
/** 剪辑模板 */
export interface EditingTemplate {
id: string
name: string
mode: TemplateMode
category: string
tags: string[]
title_config: TitleConfig
subtitle_config: SubtitleConfig
bgm_config: BgmConfig
estimated_duration: number
segments: TemplateSegment[]
watermark_config?: WatermarkConfig
intro_outro_config?: IntroOutroConfig
pip_config?: PipConfig
filter_config?: FilterConfig
green_screen_config?: ChromaKeyConfig
sticker_config?: StickerConfig
cover_config?: CoverConfig
is_active?: boolean
created_at: string
updated_at: string
}
/** 模板分类 */
export interface TemplateCategory {
id: string
name: string
created_at?: string
}
/** 创建/更新模板请求体 */
export interface SaveTemplatePayload {
name: string
mode: TemplateMode
category: string
tags: string[]
title_config: TitleConfig
subtitle_config: SubtitleConfig
bgm_config: BgmConfig
estimated_duration: number
segments: Omit<TemplateSegment, "id">[]
watermark_config?: WatermarkConfig
intro_outro_config?: IntroOutroConfig
pip_config?: PipConfig
filter_config?: FilterConfig
green_screen_config?: ChromaKeyConfig
sticker_config?: StickerConfig
cover_config?: CoverConfig
}
/** 使用模板生成请求体 */
export interface GenerateFromTemplatePayload {
voiceover_duration: number
}
/** 验证警告详情 */
export interface ValidationWarningDetails {
field?: string
expected?: string | number
actual?: string | number
suggested?: string | number
}
/** 验证警告 */
export interface ValidateWarning {
code: string
message: string
details?: ValidationWarningDetails
}
/** 使用模板生成响应 */
export interface GenerateFromTemplateResponse {
template: EditingTemplate
warnings: ValidateWarning[]
}
/** 列表响应(带分页) */
export interface ListTemplatesResponse {
items: EditingTemplate[]
total: number
}
/** 分类列表响应 */
export interface ListCategoriesResponse {
items: TemplateCategory[]
}
-14
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@@ -1,14 +0,0 @@
import apiClient from "../client"
import type { ConfirmGenerationRequest, ConfirmGenerationResponse } from "./types"
/** 确认生成 — 基于预览任务创建正式生成任务 */
export const confirmGeneration = async (
taskId: string,
params: ConfirmGenerationRequest,
): Promise<ConfirmGenerationResponse> => {
const response = await apiClient.post<ConfirmGenerationResponse>(
`/generation/tasks/${taskId}/confirm`,
params,
)
return response.data
}
-31
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@@ -1,31 +0,0 @@
import apiClient from "../client"
export interface GenerateCoverRequest {
asset_ids: string[]
cover_type?: "ai_frame" | "manual" | "upload" | "ai_regenerate"
frame_time?: number
}
export interface GenerateCoverResponse {
plan_id: string
cover: {
scheme?: string
asset_id?: string
frame_time?: number
image_url?: string
thumbnail_url?: string
[key: string]: unknown
}
}
/** AI 生成封面 — 从预览视频中抽帧 */
export async function generateCover(
templateId: string,
data: GenerateCoverRequest,
): Promise<GenerateCoverResponse> {
const response = await apiClient.post<GenerateCoverResponse>("/generation/generate-cover", data, {
timeout: 300000,
params: { template_id: templateId },
})
return response.data
}
-11
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@@ -1,11 +0,0 @@
export type {
PreviewStatus,
CreatePreviewRequest,
CreatePreviewResponse,
PreviewTaskResponse,
} from "./types"
export { createPreview, getPreviewStatus } from "./preview"
export { generateCover } from "./cover"
export type { GenerateCoverRequest, GenerateCoverResponse } from "./cover"
-16
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@@ -1,16 +0,0 @@
import apiClient from "../client"
import type { CreatePreviewRequest, CreatePreviewResponse, PreviewTaskResponse } from "./types"
/** 创建预览生成任务(单版本) */
export const createPreview = async (
params: CreatePreviewRequest,
): Promise<CreatePreviewResponse> => {
const response = await apiClient.post<CreatePreviewResponse>("/generation/preview", params)
return response.data
}
/** 查询预览任务状态及结果 */
export const getPreviewStatus = async (taskId: string): Promise<PreviewTaskResponse> => {
const response = await apiClient.get<PreviewTaskResponse>(`/generation/preview/${taskId}`)
return response.data
}
-105
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@@ -1,105 +0,0 @@
/** 预览任务状态 */
export type PreviewStatus = "pending" | "generating" | "completed" | "failed" | "cancelled"
/** 创建预览任务请求 */
export interface CreatePreviewRequest {
template_id: string
asset_ids: string[]
source_edit_plan_id?: string
title_ids?: string[]
voice_ids?: string[]
/** 配音素材库ID(用户上传的音频或AI配音),对应配音选择页面选择的配音素材 */
voice_library_id?: string
video_title?: string
duration?: number
video_ratio?: string
/* 标题烧录配置(可选,传入后 ASS 渲染标题到预览视频中) */
title_config?: {
text?: string
font?: string
font_size?: number
font_color?: string
position?: string
bold?: boolean
stroke?: boolean
shadow?: boolean
}
bgm_config?: {
enabled: boolean
preset_id?: string
volume?: number
}
}
/** 创建预览任务响应 */
export interface CreatePreviewResponse {
task_id: string
status: PreviewStatus
is_preview: boolean
resolution: string
created_at: string
}
/** 预览任务详情响应 */
export interface PreviewTaskResponse {
task_id: string
status: PreviewStatus
progress: number
is_preview: boolean
resolution: string
video_url?: string
duration?: number
file_size?: number
clip_count?: number
transition_count?: number
material_usage?: number
error_message?: string
created_at: string
started_at?: string
finished_at?: string
generate_duration?: number
}
/** 确认生成请求体 — 基于预览任务创建正式生成任务 */
export interface ConfirmGenerationRequest {
/** 输出视频宽度,默认 1080 */
output_width?: number
/** 输出视频高度,默认 1920 */
output_height?: number
/** 自定义封面图片 URL */
cover_url?: string
/** 自定义视频标题 */
custom_title?: string
}
/** 确认生成响应 */
export interface ConfirmGenerationResponse {
items: ConfirmGenerationTaskItem[]
total: number
}
/** 确认生成返回的任务项 */
export interface ConfirmGenerationTaskItem {
id: string
project_id: string
asset_library_id: string
strategy_id: string
voice_library_id: string
template_id: string
asset_ids: string[]
title_ids: string[]
voice_ids: string[]
source_edit_plan_id: string
asset_select_mode: string
batch_id: string
is_preview: boolean
source_task_id: string
output_width: number
output_height: number
cover_url: string
custom_title: string
status: string
progress: number
result_count: number
error_message: string
}
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@@ -0,0 +1,174 @@
/**
* 成品 / 视频相关 API
* 后端实际接口:/videos
*/
import apiClient from "./client"
/** 复核状态 */
export type ReviewStatus = "pending_review" | "approved" | "rejected"
/** 成品条目 */
export interface ProductItem {
id: string
title: string
video_url?: string
thumbnail_url?: string
duration_seconds?: number
file_size?: number
resolution?: string
status: "processing" | "completed" | "failed"
/** 复核状态 */
review_status?: ReviewStatus
/** 所属项目 ID */
project_id?: string
/** 所属项目名称 */
project_name?: string
/** 查重率(百分比) */
duplicate_rate?: number
created_at?: string
updated_at?: string
}
/** 列表查询参数 */
export interface ProductListParams {
page?: number
page_size?: number
project_id?: string
review_status?: ReviewStatus | "all"
}
/** 分页响应 */
export interface ProductListResponse {
items: ProductItem[]
total: number
page: number
page_size: number
}
/** 批量下载任务状态 */
export interface BatchDownloadStatus {
job_id: string
status: "processing" | "completed" | "failed"
/** 完成后返回的下载 URL */
download_url?: string
/** 进度百分比 */
progress?: number
}
/** 后端 /videos 接口返回的原始视频条目 */
interface VideoItem {
id: string
project_id: string
generation_task_id: string
name: string
file_url: string
file_size: number
duration: number
thumbnail_url: string | null
width: number
height: number
fps: number
status: string
review_status: ReviewStatus
generation_params: Record<string, unknown>
download_url: string
generated_at: string
}
/**
* 将后端 VideoItem 映射为 ProductItem 格式
*/
function mapVideoToProductItem(video: VideoItem): ProductItem {
return {
id: video.id,
title: video.name || "未命名视频",
// 优先用 download_url(带签名)播放,file_url 无签名无法访问
video_url: video.download_url || video.file_url,
thumbnail_url: video.thumbnail_url || undefined,
duration_seconds: video.duration,
file_size: video.file_size,
resolution: video.width && video.height ? `${video.width}x${video.height}` : undefined,
status:
video.status === "completed"
? "completed"
: video.status === "failed"
? "failed"
: "processing",
review_status: video.review_status,
project_id: video.project_id,
// 后端 /videos 接口暂无 project_name 字段
project_name: undefined,
// 后端字段名为 generated_at,映射为 created_at 供前端统一使用
created_at: video.generated_at,
updated_at: video.generated_at,
// 后端 /videos 接口暂无 duplicate_rate 字段
duplicate_rate: undefined,
}
}
/** 获取成品列表(支持分页和筛选) */
export const getProducts = async (params?: ProductListParams): Promise<ProductItem[]> => {
const response = await apiClient.get("/videos", { params })
const data = response.data
const videos: VideoItem[] = Array.isArray(data?.items)
? data.items
: Array.isArray(data)
? data
: []
return videos.map(mapVideoToProductItem)
}
/** 获取单个成品详情 */
export const getProduct = async (productId: string): Promise<ProductItem> => {
const response = await apiClient.get(`/videos/${productId}`)
return mapVideoToProductItem(response.data as VideoItem)
}
/**
* 删除成品
* 注意:后端暂未实现 /videos DELETE 接口,调用会返回 405
* 待后端实现后自动生效
*/
export const deleteProduct = async (productId: string): Promise<void> => {
await apiClient.delete(`/videos/${productId}`)
}
/**
* 获取成品下载链接
* 直接使用列表返回的 download_url(带OSS签名)
*/
export const getProductDownloadUrl = async (
productId: string,
): Promise<{ url: string; expires_at: string }> => {
// 优先从列表缓存取;如果没有则调详情接口
const product = await getProduct(productId)
if (!product.video_url) throw new Error("下载链接不可用")
return { url: product.video_url, expires_at: "" }
}
/** 更新复核状态 — TODO: 后端暂无对应端点,暂存本地状态 */
export const updateReviewStatus = async (
productId: string,
status: ReviewStatus,
): Promise<ProductItem> => {
// 后端暂无 /videos/{id}/review 端点
// 暂时返回当前状态,后续可扩展
const product = await getProduct(productId)
return { ...product, review_status: status }
}
/** 发起批量下载 — TODO: 后端暂无对应端点 */
export const batchDownload = async (videoIds: string[]): Promise<{ job_id: string }> => {
// 后端暂无 /videos/batch-download 端点
// 暂时返回模拟 job_id,后续可扩展
console.warn("[batchDownload] 后端暂无批量下载端点", videoIds)
return { job_id: `mock-${Date.now()}` }
}
/** 查询批量下载状态 — TODO: 后端暂无对应端点 */
export const getBatchDownloadStatus = async (jobId: string): Promise<BatchDownloadStatus> => {
// 后端暂无 /videos/batch-download/{jobId} 端点
// 暂时返回模拟状态,后续可扩展
console.warn("[getBatchDownloadStatus] 后端暂无批量下载状态端点", jobId)
return { job_id: jobId, status: "processing", progress: 0 }
}
-28
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@@ -1,28 +0,0 @@
/**
* 成品 / 视频相关 API — 目录化入口
* 保持与原 products.ts 相同导出,向后兼容
*/
// 类型
export type {
ReviewStatus,
ProductItem,
ProductListParams,
ProductListResponse,
BatchDownloadStatus,
VideoItem,
} from "./types"
// 工具函数
export { mapVideoToProductItem } from "./utils"
// API 函数
export {
getProducts,
getProduct,
deleteProduct,
getProductDownloadUrl,
updateReviewStatus,
batchDownload,
getBatchDownloadStatus,
} from "./products"
-80
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@@ -1,80 +0,0 @@
/**
* 成品 / 视频相关 API 函数
* 后端实际接口:/videos
*/
import apiClient from "../client"
import type {
BatchDownloadStatus,
ProductItem,
ProductListParams,
VideoItem,
ReviewStatus,
} from "./types"
import { mapVideoToProductItem } from "./utils"
/** 获取成品列表(支持分页和筛选) */
export const getProducts = async (params?: ProductListParams): Promise<ProductItem[]> => {
const response = await apiClient.get("/videos", { params })
const data = response.data
const videos: VideoItem[] = Array.isArray(data?.items)
? data.items
: Array.isArray(data)
? data
: []
return videos.map(mapVideoToProductItem)
}
/** 获取单个成品详情 */
export const getProduct = async (productId: string): Promise<ProductItem> => {
const response = await apiClient.get(`/videos/${productId}`)
return mapVideoToProductItem(response.data as VideoItem)
}
/**
* 删除成品
* 注意:后端暂未实现 /videos DELETE 接口,调用会返回 405
* 待后端实现后自动生效
*/
export const deleteProduct = async (productId: string): Promise<void> => {
await apiClient.delete(`/videos/${productId}`)
}
/**
* 获取成品下载链接
* 直接使用列表返回的 download_url(带OSS签名)
*/
export const getProductDownloadUrl = async (
productId: string,
): Promise<{ url: string; expires_at: string }> => {
// 优先从列表缓存取;如果没有则调详情接口
const product = await getProduct(productId)
if (!product.video_url) throw new Error("下载链接不可用")
return { url: product.video_url, expires_at: "" }
}
/** 更新复核状态 — TODO: 后端暂无对应端点,暂存本地状态 */
export const updateReviewStatus = async (
productId: string,
status: ReviewStatus,
): Promise<ProductItem> => {
// 后端暂无 /videos/{id}/review 端点
// 暂时返回当前状态,后续可扩展
const product = await getProduct(productId)
return { ...product, review_status: status }
}
/** 发起批量下载 — TODO: 后端暂无对应端点 */
export const batchDownload = async (videoIds: string[]): Promise<{ job_id: string }> => {
// 后端暂无 /videos/batch-download 端点
// 暂时返回模拟 job_id,后续可扩展
console.warn("[batchDownload] 后端暂无批量下载端点", videoIds)
return { job_id: `mock-${Date.now()}` }
}
/** 查询批量下载状态 — TODO: 后端暂无对应端点 */
export const getBatchDownloadStatus = async (jobId: string): Promise<BatchDownloadStatus> => {
// 后端暂无 /videos/batch-download/{jobId} 端点
// 暂时返回模拟状态,后续可扩展
console.warn("[getBatchDownloadStatus] 后端暂无批量下载状态端点", jobId)
return { job_id: jobId, status: "processing", progress: 0 }
}
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@@ -1,74 +0,0 @@
/**
* 成品 / 视频相关类型定义
*/
/** 复核状态 */
export type ReviewStatus = "pending_review" | "approved" | "rejected"
/** 成品条目 */
export interface ProductItem {
id: string
title: string
video_url?: string
thumbnail_url?: string
duration_seconds?: number
file_size?: number
resolution?: string
status: "processing" | "completed" | "failed"
/** 复核状态 */
review_status?: ReviewStatus
/** 所属项目 ID */
project_id?: string
/** 所属项目名称 */
project_name?: string
/** 查重率(百分比) */
duplicate_rate?: number
created_at?: string
updated_at?: string
}
/** 列表查询参数 */
export interface ProductListParams {
page?: number
page_size?: number
project_id?: string
review_status?: ReviewStatus | "all"
}
/** 分页响应 */
export interface ProductListResponse {
items: ProductItem[]
total: number
page: number
page_size: number
}
/** 批量下载任务状态 */
export interface BatchDownloadStatus {
job_id: string
status: "processing" | "completed" | "failed"
/** 完成后返回的下载 URL */
download_url?: string
/** 进度百分比 */
progress?: number
}
/** 后端 /videos 接口返回的原始视频条目 */
export interface VideoItem {
id: string
project_id: string
generation_task_id: string
name: string
file_url: string
file_size: number
duration: number
thumbnail_url: string | null
width: number
height: number
fps: number
status: string
review_status: ReviewStatus
generation_params: Record<string, unknown>
download_url: string
generated_at: string
}
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@@ -1,35 +0,0 @@
/**
* 成品数据转换工具函数
*/
import type { ProductItem, VideoItem } from "./types"
/**
* 将后端 VideoItem 映射为 ProductItem 格式
*/
export function mapVideoToProductItem(video: VideoItem): ProductItem {
return {
id: video.id,
title: video.name || "未命名视频",
// 优先用 download_url(带签名)播放,file_url 无签名无法访问
video_url: video.download_url || video.file_url,
thumbnail_url: video.thumbnail_url || undefined,
duration_seconds: video.duration,
file_size: video.file_size,
resolution: video.width && video.height ? `${video.width}x${video.height}` : undefined,
status:
video.status === "completed"
? "completed"
: video.status === "failed"
? "failed"
: "processing",
review_status: video.review_status,
project_id: video.project_id,
// 后端 /videos 接口暂无 project_name 字段
project_name: undefined,
// 后端字段名为 generated_at,映射为 created_at 供前端统一使用
created_at: video.generated_at,
updated_at: video.generated_at,
// 后端 /videos 接口暂无 duplicate_rate 字段
duplicate_rate: undefined,
}
}
@@ -1,10 +1,32 @@
/**
* API
* API
* project_id
*/
import apiClient from "../client"
import type { BackendListProjectsResponse, BackendProjectResponse, ProjectItem } from "./types"
import { toProjectItem } from "./utils"
import apiClient from "./client"
export interface ProjectItem {
id: string
name: string
description: string
}
/** 后端 ProjectResponse 只返回 id, name, description */
interface BackendProjectResponse {
id: string
name: string
description: string
}
/** 后端 ListProjectsResponse 返回 { items: [...] } */
interface BackendListProjectsResponse {
items: BackendProjectResponse[]
}
const toProjectItem = (item: BackendProjectResponse): ProjectItem => ({
id: item.id,
name: item.name,
description: item.description,
})
/** 获取当前用户的项目列表 */
export const getProjects = async (): Promise<ProjectItem[]> => {
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@@ -1,13 +0,0 @@
/**
* 项目 API — 目录化入口
* 保持与原 projects.ts 相同导出,向后兼容
*/
// 类型
export type { ProjectItem, BackendProjectResponse, BackendListProjectsResponse } from "./types"
// 工具函数
export { toProjectItem } from "./utils"
// API 函数
export { getProjects, createProject, getOrCreateDefaultProject } from "./projects"
-21
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@@ -1,21 +0,0 @@
/**
* 项目相关类型定义
*/
export interface ProjectItem {
id: string
name: string
description: string
}
/** 后端 ProjectResponse 只返回 id, name, description */
export interface BackendProjectResponse {
id: string
name: string
description: string
}
/** 后端 ListProjectsResponse 返回 { items: [...] } */
export interface BackendListProjectsResponse {
items: BackendProjectResponse[]
}

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