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Author SHA1 Message Date
用户CI Test 717f239f1b feat(ci): 封装checkout逻辑为公共脚本scripts/ci_checkout.sh
CI/CD Pipeline / Validate Code Quality And Tests (push) Failing after 0s
CI/CD Pipeline / Frontend Lint (push) Failing after 0s
CI/CD Pipeline / Build & Push Staging (Watchtower auto-deploy) (push) Has been skipped
CI/CD Pipeline / Build Production Runtime Images (push) Has been skipped
CI/CD Pipeline / Staging E2E Tests (push) Has been skipped
CI/CD Pipeline / Staging API Integration Tests (push) Has been skipped
CI/CD Pipeline / Deploy Production (push) Has been skipped
CI/CD Pipeline / Production Browser E2E (push) Has been skipped
2026-07-09 15:29:47 +08:00
用户CI Test 014949e6b1 feat(ci): 添加pip和npm依赖缓存加速CI执行 2026-07-09 15:29:47 +08:00
用户CI Test 531a2024b0 feat(ci): 添加workflow_dispatch手动触发支持 2026-07-09 15:29:47 +08:00
165 changed files with 4875 additions and 18927 deletions
+4 -12
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@@ -3,7 +3,6 @@
# ==================== 应用配置 ====================
APP_NAME=小虾 SaaS
APP_BASE_URL=http://localhost:3000
APP_ENV=development
# ==================== 数据库配置 ====================
DATABASE_URL=postgresql://xiaoxia_user:your_password@localhost:5432/xiaoxia_saas
@@ -36,8 +35,7 @@ ENVIRONMENT=development
DEBUG=true
# ==================== CORS 配置 ====================
# 逗号分隔的域名列表(Settings 读取 CORS_ORIGINS_RAW
CORS_ORIGINS_RAW=http://localhost:3000,http://localhost:5173
CORS_ORIGINS=["http://localhost:3000","http://localhost:5173"]
# ==================== 阿里云 OSS 配置 ====================
OSS_ENDPOINT=oss-cn-hangzhou.aliyuncs.com
@@ -46,15 +44,9 @@ OSS_ACCESS_KEY_SECRET=your-access-key-secret
OSS_BUCKET_NAME=xiaoxia-autocut
# ==================== CosyVoice 语音合成配置 ====================
# 注意:base_url 只需写到 /api/v1,具体路径由代码拼接
# 模型: cosyvoice-v3-flash (推荐,支持系统音色,性价比高)
# cosyvoice-v3-plus (高质量,系统音色少)
# cosyvoice-v3.5-flash / cosyvoice-v3.5-plus (仅支持克隆/设计音色,无系统音色)
# 音色: v3系列系统音色带 _v3 后缀,如 longxiaochun_v3, longxiaoxia_v3, longanyang (无后缀)
# 注意:COSYVOICE_* 变量由 packages/shared/config.py 的 SharedSettings 读取
COSYVOICE_API_KEY=your-cosyvoice-api-key
COSYVOICE_BASE_URL=https://dashscope.aliyuncs.com/api/v1
COSYVOICE_MODEL=cosyvoice-v3-flash
COSYVOICE_VOICE=longxiaochun_v3
COSYVOICE_BASE_URL=https://dashscope.aliyuncs.com/api/v1/services/aigc/text2audio
COSYVOICE_MODEL=cosyvoice-v1
COSYVOICE_VOICE=longxiaochun
COSYVOICE_SAMPLE_RATE=22050
COSYVOICE_FORMAT=mp3
Executable → Regular
+3 -8
View File
@@ -42,15 +42,10 @@ OSS_DIRECT_UPLOAD_MAX_MB=2000
OSS_DIRECT_UPLOAD_EXPIRE_SECONDS=900
# ==================== CosyVoice 语音合成(必须配置)====================
# 注意:base_url 只需写到 /api/v1,具体路径由代码拼接
# 模型: cosyvoice-v3-flash (推荐,支持系统音色,性价比高)
# cosyvoice-v3-plus (高质量,系统音色少)
# cosyvoice-v3.5-flash / cosyvoice-v3.5-plus (仅支持克隆/设计音色,无系统音色)
# 音色: v3系列系统音色带 _v3 后缀,如 longxiaochun_v3, longxiaoxia_v3, longanyang (无后缀)
COSYVOICE_API_KEY=CHANGE_ME_COSYVOICE_API_KEY
COSYVOICE_BASE_URL=https://dashscope.aliyuncs.com/api/v1
COSYVOICE_MODEL=cosyvoice-v3-flash
COSYVOICE_VOICE=longxiaochun_v3
COSYVOICE_BASE_URL=https://dashscope.aliyuncs.com/api/v1/services/aigc/text2audio
COSYVOICE_MODEL=cosyvoice-v1
COSYVOICE_VOICE=longxiaochun
COSYVOICE_SAMPLE_RATE=22050
COSYVOICE_FORMAT=mp3
-1
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@@ -2,7 +2,6 @@
max-line-length = 120
exclude =
.git,
.cache,
__pycache__,
.venv,
venv,
+26
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@@ -0,0 +1,26 @@
name: Auto Merge PRs
on:
schedule:
- cron: '0 */6 * * *'
workflow_dispatch:
jobs:
auto-merge:
runs-on: saas
timeout-minutes: 10
steps:
- name: Checkout code
shell: sh
env:
GITHUB_TOKEN: ${{ github.token }}
run: |
set -eu
bash scripts/ci_checkout.sh
- name: Auto merge develop PRs
run: |
bash scripts/auto_merge_prs.sh develop
- name: Auto merge main PRs (release only)
run: |
bash scripts/auto_merge_prs.sh main
File diff suppressed because it is too large Load Diff
+11 -119
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@@ -24,46 +24,7 @@ jobs:
GITHUB_TOKEN: ${{ github.token }}
run: |
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
bash scripts/ci_checkout.sh
- name: Production health check & smoke test
id: smoke
shell: sh
@@ -121,46 +82,7 @@ jobs:
GITHUB_TOKEN: ${{ github.token }}
run: |
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
bash scripts/ci_checkout.sh
- name: Run API smoke test on staging
id: smoke
shell: sh
@@ -258,45 +180,14 @@ jobs:
GITHUB_TOKEN: ${{ github.token }}
run: |
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
bash scripts/ci_checkout.sh
- name: Cache npm dependencies
uses: actions/cache@v3
with:
path: ~/.npm
key: ${{ runner.os }}-npm-${{ hashFiles('apps/web/package-lock.json') }}
restore-keys: |
${{ runner.os }}-npm-
- name: Run Playwright E2E on staging
id: e2e
@@ -310,6 +201,7 @@ jobs:
-e E2E_BROWSER_CHANNEL=chromium \
-e PLAYWRIGHT_HEADLESS=1 \
-v "$PWD:/workspace" \
-v "$HOME/.npm:/root/.npm" \
-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 e2e/core-titles.spec.ts' 2>&1 | tee /tmp/staging-e2e.log
+69
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@@ -0,0 +1,69 @@
name: Test SSH Secret
on:
push:
branches: [develop]
paths:
- '.gitea/workflows/test-ssh-secret.yml'
jobs:
test-ssh:
runs-on: ubuntu-22.04
steps:
- name: Install SSH client
run: |
which ssh || (apt-get update && apt-get install -y openssh-client)
ssh -V
- name: Debug environment
run: |
echo "=== Environment ==="
echo "Runner hostname: $(hostname)"
echo "Runner IP: $(hostname -i || echo 'unknown')"
echo "Current user: $(whoami)"
echo "=== Secrets check ==="
if [ -n "$STAGING_SSH_HOST" ]; then
echo "STAGING_SSH_HOST: [SET] value_length=${#STAGING_SSH_HOST}"
else
echo "STAGING_SSH_HOST: [EMPTY]"
fi
if [ -n "$STAGING_SSH_USER" ]; then
echo "STAGING_SSH_USER: [SET] value_length=${#STAGING_SSH_USER}"
else
echo "STAGING_SSH_USER: [EMPTY]"
fi
if [ -n "$STAGING_SSH_KEY" ]; then
echo "STAGING_SSH_KEY: [SET] value_length=${#STAGING_SSH_KEY}"
else
echo "STAGING_SSH_KEY: [EMPTY]"
fi
env:
STAGING_SSH_HOST: ${{ secrets.STAGING_SSH_HOST }}
STAGING_SSH_USER: ${{ secrets.STAGING_SSH_USER }}
STAGING_SSH_KEY: ${{ secrets.STAGING_SSH_KEY }}
- name: Setup SSH key
run: |
mkdir -p ~/.ssh
chmod 700 ~/.ssh
echo "$STAGING_SSH_KEY" > ~/.ssh/id_ed25519
chmod 600 ~/.ssh/id_ed25519
ssh-keygen -y -f ~/.ssh/id_ed25519 > ~/.ssh/id_ed25519.pub 2>/dev/null || echo "No public key generated"
echo "=== SSH Key fingerprint ==="
ssh-keygen -lf ~/.ssh/id_ed25519 || echo "Key fingerprint failed"
env:
STAGING_SSH_KEY: ${{ secrets.STAGING_SSH_KEY }}
- name: Test SSH connection
run: |
echo "Attempting SSH connection to $STAGING_SSH_HOST..."
ssh -i ~/.ssh/id_ed25519 \
-o StrictHostKeyChecking=no \
-o UserKnownHostsFile=/dev/null \
-o ConnectTimeout=10 \
-o BatchMode=yes \
-v \
$STAGING_SSH_USER@$STAGING_SSH_HOST "echo 'SSH_CONNECTION_SUCCESS' && hostname && whoami"
echo "=== SSH Test Complete ==="
env:
STAGING_SSH_HOST: ${{ secrets.STAGING_SSH_HOST }}
STAGING_SSH_USER: ${{ secrets.STAGING_SSH_USER }}
+163
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@@ -0,0 +1,163 @@
name: Tests
on:
pull_request:
branches: [ main ]
jobs:
test:
runs-on: runtime-builder
steps:
- name: Checkout code
shell: sh
run: |
set -eu
python - <<'PY'
import io
import os
import tarfile
import time
import urllib.error
import urllib.request
url = f"{os.environ['GITHUB_API_URL']}/repos/{os.environ['GITHUB_REPOSITORY']}/archive/{os.environ['GITHUB_SHA']}.tar.gz"
request = urllib.request.Request(url, headers={"Authorization": f"token {os.environ['GITHUB_TOKEN']}"})
# Retry up to 5 times with backoff for transient 5xx errors
last_err = None
for attempt in range(5):
try:
with urllib.request.urlopen(request, timeout=120) as response:
archive = response.read()
break
except urllib.error.HTTPError as e:
last_err = e
if e.code >= 500 and attempt < 4:
wait = 2 ** attempt
print(f"Checkout HTTP {e.code}, retrying in {wait}s (attempt {attempt+1}/5)...")
time.sleep(wait)
continue
raise
except Exception as e:
last_err = e
if attempt < 4:
wait = 2 ** attempt
print(f"Checkout error: {e}, retrying in {wait}s (attempt {attempt+1}/5)...")
time.sleep(wait)
continue
raise
else:
raise last_err
with tarfile.open(fileobj=io.BytesIO(archive), mode='r:gz') as tar:
root_prefix = tar.getmembers()[0].name.split('/', 1)[0] + '/'
for member in tar.getmembers():
name = member.name
if name == root_prefix[:-1]:
continue
if name.startswith(root_prefix):
member.name = name[len(root_prefix):]
if member.name:
tar.extract(member, '.')
PY
- name: Show Python version
shell: sh
run: |
set -eu
python --version
python -m pip --version
- name: Install dependencies
shell: sh
run: |
set -eu
python -m pip install --upgrade pip -i https://mirrors.aliyun.com/pypi/simple/ --trusted-host mirrors.aliyun.com
python -m pip install -r requirements.txt -r requirements-dev.txt -i https://mirrors.aliyun.com/pypi/simple/ --trusted-host mirrors.aliyun.com
- name: Run unit tests
shell: sh
run: |
set -eu
PYTHONPATH="$PWD/apps/api:$PWD" python -m pytest tests/unit -q
- name: Run integration tests
shell: sh
run: |
set -eu
PYTHONPATH="$PWD/apps/api:$PWD" python -m pytest tests/integration -q --timeout=60 -x
lint:
runs-on: runtime-builder
steps:
- name: Checkout code
shell: sh
run: |
set -eu
python - <<'PY'
import io
import os
import tarfile
import time
import urllib.error
import urllib.request
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']}"})
# Retry up to 5 times with backoff for transient 5xx errors
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: Install dependencies
shell: sh
run: |
set -eu
python -m pip install --upgrade pip -i https://mirrors.aliyun.com/pypi/simple/ --trusted-host mirrors.aliyun.com
python -m pip install -r requirements.txt -r requirements-dev.txt -i https://mirrors.aliyun.com/pypi/simple/ --trusted-host mirrors.aliyun.com
- name: Run Black (check only)
shell: sh
run: |
set -eu
python -m black --check alembic apps packages tests scripts
- name: Run Flake8
shell: sh
run: |
set -eu
python -m flake8 apps packages tests --count --statistics
-1
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@@ -6,7 +6,6 @@ dist/
coverage/
# Python / backend
.cache/
.venv/
venv/
.venv-ci-root/
@@ -1,26 +0,0 @@
"""Add editing_mode to edit_templates
Revision ID: 035_editing_mode
Revises: 034_cms_enhance
Create Date: 2026-07-09
"""
import sqlalchemy as sa
from alembic import op
revision = "035_editing_mode"
down_revision = "034_cms_enhance"
branch_labels = None
depends_on = None
def upgrade() -> None:
op.add_column(
"edit_templates",
sa.Column("editing_mode", sa.String(20), nullable=False, server_default="one_take"),
)
def downgrade() -> None:
op.drop_column("edit_templates", "editing_mode")
@@ -1,68 +0,0 @@
"""Expand UUID fields from varchar(32) to varchar(36)
All UUID fields across all tables were varchar(32), but standard UUIDs with
hyphens are 36 characters (e.g. 550e8400-e29b-41d4-a716-446655440000).
This caused StringDataRightTruncation errors on insert.
Revision ID: 036_expand_uuid_36
Revises: 035_editing_mode
Create Date: 2026-07-10
"""
import sqlalchemy as sa
from alembic import op
revision = "036_expand_uuid_36"
down_revision = "035_editing_mode"
branch_labels = None
depends_on = None
# ── 表 → 需要扩容的列 ─────────────────────────────────────────────────────────
_TABLES: dict[str, list[str]] = {
"projects": ["id", "owner_user_id"],
"edit_templates": ["id"],
"edit_plans": ["id", "template_id", "source_edit_plan_id", "project_id", "created_by_user_id"],
"template_clip_configs": ["id", "template_id"],
"edit_plan_clips": ["id", "plan_id", "template_clip_config_id", "asset_id"],
"ingest_jobs": ["id", "project_id", "library_id", "result_asset_id"],
"classification_jobs": ["id", "project_id", "asset_id"],
"generation_tasks": [
"id",
"project_id",
"strategy_id",
"asset_library_id",
"voice_library_id",
"created_by_user_id",
"source_edit_plan_id",
"batch_id",
],
"generated_videos": ["id", "project_id", "generation_task_id", "duplicate_of"],
"jobs": ["id", "project_id", "source_id", "created_by_user_id"],
}
def upgrade() -> None:
for table, columns in _TABLES.items():
for col in columns:
op.alter_column(
table,
col,
existing_type=sa.String(32),
type_=sa.String(36),
existing_nullable=None,
)
def downgrade() -> None:
for table, columns in reversed(list(_TABLES.items())):
for col in columns:
op.alter_column(
table,
col,
existing_type=sa.String(36),
type_=sa.String(32),
existing_nullable=None,
)
@@ -1,26 +0,0 @@
"""Add logs field to generation_tasks
Revision ID: 037_generation_logs
Revises: 036_expand_uuid_36
Create Date: 2026-07-10
"""
import sqlalchemy as sa
from alembic import op
revision = "037_generation_logs"
down_revision = "036_expand_uuid_36"
branch_labels = None
depends_on = None
def upgrade() -> None:
op.add_column(
"generation_tasks",
sa.Column("logs", sa.Text(), nullable=False, server_default="[]"),
)
def downgrade() -> None:
op.drop_column("generation_tasks", "logs")
+1
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@@ -0,0 +1 @@
"""API application package."""
+1
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@@ -0,0 +1 @@
"""API package."""
-10
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@@ -8,12 +8,10 @@ from app.api.routes.dashboard import router as dashboard_router
from app.api.routes.duplication import router as duplication_router
from app.api.routes.edit_plans import router as edit_plans_router
from app.api.routes.edit_templates import router as edit_templates_router
from app.api.routes.feature_flags import router as feature_flags_router
from app.api.routes.generated_videos import router as generated_videos_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
from app.api.routes.internal_render import router as internal_render_router
from app.api.routes.jobs import router as jobs_router
from app.api.routes.projects import router as projects_router
from app.api.routes.recipes import router as recipes_router
@@ -153,11 +151,3 @@ api_router.include_router(
prefix="/tts",
tags=["TTS"],
)
api_router.include_router(
feature_flags_router,
tags=["Internal"],
)
api_router.include_router(
internal_render_router,
tags=["Internal"],
)
-48
View File
@@ -1,48 +0,0 @@
"""路由层共享辅助函数 — 消除跨文件重复定义。"""
from typing import Any
from fastapi import HTTPException, status
from packages.application import GetProjectUseCase
from packages.ports.user_repository import UserRepository
def check_project_access(project_id: str, user_id: str, project_repository) -> None:
"""检查用户是否有项目访问权限。
合并自 asset_libraries.py / edit_plans.py 的同名函数。
- 空 project_id 直接放行(兼容 edit_plans 中 project_id 可选的场景)
- 错误信息使用中文,与项目其他路由保持一致
"""
if not project_id or not project_id.strip():
return
project = project_repository.find_by_id(project_id)
if project is None:
raise HTTPException(status_code=404, detail="项目不存在")
if not project.can_access(user_id):
raise HTTPException(status_code=403, detail="无权访问该项目")
def get_user_plan(user_id: str, user_repository: UserRepository) -> str:
"""获取用户的订阅计划名称。"""
user = user_repository.find_by_id(user_id)
if user is None:
return "free"
return getattr(user, "subscription_plan", "free") or "free"
def require_project_and_library(
project_id: str,
library_id: str,
project_repository: Any,
asset_library_repository: Any,
) -> None:
"""Verify project and asset library exist."""
project = GetProjectUseCase(project_repository).execute(project_id)
if project is None:
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Project not found")
libraries = asset_library_repository.find_by_project(project_id)
if not any(item.id == library_id for item in libraries):
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Asset library not found")
+10 -3
View File
@@ -22,11 +22,18 @@ from packages.application import (
)
from packages.domain import AssetLibrary, AssetLibraryKind
from ._helpers import check_project_access
router = APIRouter()
def _check_project_access(project_id: str, user_id: str, project_repository) -> None:
"""检查用户是否有项目访问权限"""
project = project_repository.find_by_id(project_id)
if project is None:
raise HTTPException(status_code=404, detail=f"Project {project_id} not found")
if not project.can_access(user_id):
raise HTTPException(status_code=status.HTTP_403_FORBIDDEN, detail="Access denied to project")
def _to_asset_library_response(item) -> AssetLibraryResponse:
return AssetLibraryResponse(
id=item.id,
@@ -161,7 +168,7 @@ def delete_asset_library(
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="素材库不存在")
# 权限校验:检查用户是否有项目访问权限
check_project_access(library.project_id, authenticated_user.user.id, project_repository)
_check_project_access(library.project_id, authenticated_user.user.id, project_repository)
# 删除库内所有素材(无 FK 级联,需手动清理)
assets_in_library = asset_repository.find_by_library(library_id)
+19 -13
View File
@@ -27,8 +27,6 @@ from packages.application import (
)
from packages.domain import AssetStatus, ClassificationStatus
from app.api.routes._helpers import check_project_access
logger = logging.getLogger(__name__)
router = APIRouter()
@@ -74,6 +72,14 @@ def _to_asset_response(item, storage_service=None) -> AssetResponse:
)
def _check_project_access(project_id: str, user_id: str, project_repository) -> None:
"""检查用户是否有项目访问权限"""
project = project_repository.find_by_id(project_id)
if project is None:
raise HTTPException(status_code=404, detail=f"Project {project_id} not found")
if not project.can_access(user_id):
raise HTTPException(status_code=403, detail="Access denied to project")
@router.get("", response_model=ListAssetsResponse)
def list_assets(
@@ -130,7 +136,7 @@ def list_assets(
library = asset_library_repository.get(library_id)
if library is None:
raise HTTPException(status_code=404, detail=f"AssetLibrary {library_id} not found")
check_project_access(library.project_id, user_id, project_repository)
_check_project_access(library.project_id, user_id, project_repository)
if ft:
items = asset_repository.find_by_library_and_file_type(library_id, ft, skip=skip, limit=limit)
total = asset_repository.count_by_project(library.project_id) if not kind else len(items)
@@ -146,7 +152,7 @@ def list_assets(
# 模式2:指定 project_id
if project_id:
check_project_access(project_id, user_id, project_repository)
_check_project_access(project_id, user_id, project_repository)
if ft:
# 无直接方法,加载后按 file_type 过滤(仍比全量加载好)
all_items = asset_repository.find_by_project(project_id)
@@ -204,13 +210,13 @@ def list_assets(
library = asset_library_repository.get(library_id)
if library is None:
raise HTTPException(status_code=404, detail=f"AssetLibrary {library_id} not found")
check_project_access(library.project_id, user_id, project_repository)
_check_project_access(library.project_id, user_id, project_repository)
if kind:
all_items = asset_repository.find_by_library_and_file_type(library_id, kind_to_file_type[kind])
else:
all_items = asset_repository.find_by_library(library_id)
elif project_id:
check_project_access(project_id, user_id, project_repository)
_check_project_access(project_id, user_id, project_repository)
all_items = asset_repository.find_by_project(project_id)
else:
try:
@@ -256,7 +262,7 @@ def update_asset_review_status(
item = asset_repository.get(asset_id)
if item is None:
raise HTTPException(status_code=404, detail=f"Asset {asset_id} not found")
check_project_access(item.project_id, authenticated_user.user.id, project_repository)
_check_project_access(item.project_id, authenticated_user.user.id, project_repository)
_apply_asset_review_status(item, request.review_status)
updated = asset_repository.update(item)
return _to_asset_response(updated)
@@ -280,7 +286,7 @@ def batch_delete_assets(
failed_ids.append(asset_id)
continue
try:
check_project_access(item.project_id, user_id, project_repository)
_check_project_access(item.project_id, user_id, project_repository)
deleted_ids.append(asset_id)
except HTTPException:
failed_ids.append(asset_id)
@@ -301,7 +307,7 @@ def get_asset(
item = asset_repository.find_by_id(asset_id)
if item is None:
raise HTTPException(status_code=404, detail=f"Asset {asset_id} not found")
check_project_access(item.project_id, authenticated_user.user.id, project_repository)
_check_project_access(item.project_id, authenticated_user.user.id, project_repository)
return _to_asset_response(item)
@@ -316,7 +322,7 @@ def update_asset(
item = asset_repository.find_by_id(asset_id)
if item is None:
raise HTTPException(status_code=404, detail=f"Asset {asset_id} not found")
check_project_access(item.project_id, authenticated_user.user.id, project_repository)
_check_project_access(item.project_id, authenticated_user.user.id, project_repository)
# 合并可修改字段
if request.name is not None:
@@ -340,7 +346,7 @@ def delete_asset(
item = asset_repository.find_by_id(asset_id)
if item is None:
raise HTTPException(status_code=404, detail=f"Asset {asset_id} not found")
check_project_access(item.project_id, authenticated_user.user.id, project_repository)
_check_project_access(item.project_id, authenticated_user.user.id, project_repository)
asset_repository.delete(asset_id)
@@ -357,7 +363,7 @@ def tag_asset(
item = asset_repository.find_by_id(asset_id)
if item is None:
raise HTTPException(status_code=404, detail=f"Asset {asset_id} not found")
check_project_access(item.project_id, authenticated_user.user.id, project_repository)
_check_project_access(item.project_id, authenticated_user.user.id, project_repository)
for tag_id in request.tag_ids:
tag = tag_repository.get(tag_id)
if tag is None:
@@ -381,7 +387,7 @@ def untag_asset(
item = asset_repository.find_by_id(asset_id)
if item is None:
raise HTTPException(status_code=404, detail=f"Asset {asset_id} not found")
check_project_access(item.project_id, authenticated_user.user.id, project_repository)
_check_project_access(item.project_id, authenticated_user.user.id, project_repository)
item.remove_tag(tag_id)
asset_repository.update(item)
+3 -2
View File
@@ -206,7 +206,7 @@ async def verify_email_post(
return _verify_email_token(request.token, user_repository)
@router.post("/forgot-password", response_model=MessageResponse, status_code=status.HTTP_202_ACCEPTED)
@router.post("/password/forgot", response_model=MessageResponse, status_code=status.HTTP_202_ACCEPTED)
async def forgot_password(
request: PasswordResetRequestModel,
user_repository: UserRepository = Depends(get_user_repository),
@@ -223,7 +223,7 @@ async def forgot_password(
return MessageResponse(message="如果账户存在,密码重置邮件已发送")
@router.post("/reset-password", response_model=MessageResponse)
@router.post("/password/reset", response_model=MessageResponse)
async def reset_password(
request: ResetPasswordModel,
user_repository: UserRepository = Depends(get_user_repository),
@@ -243,6 +243,7 @@ async def logout(
current_user: AuthenticatedUser = Depends(get_current_user),
):
"""登出 - 将当前 token 加入黑名单"""
from fastapi.security import HTTPAuthorizationCredentials, HTTPBearer
if credentials:
try:
+19 -3
View File
@@ -14,6 +14,7 @@ from typing import Any
from uuid import uuid4
from app.auth import AuthenticatedUser, get_current_user
from app.config import get_settings
from app.core.celery_app import celery_app
from app.core.storage import OSSStorageService, get_storage_service
from app.dependencies import (
@@ -34,8 +35,6 @@ from fastapi.params import File
from packages.application import GetProjectUseCase, SubmitIngestJobCommand, SubmitIngestJobUseCase
from app.api.routes._helpers import require_project_and_library
router = APIRouter()
logger = logging.getLogger(__name__)
@@ -114,6 +113,22 @@ def _atomic_check_and_record(upload_id: str, chunk_index: int) -> bool:
fcntl.flock(f.fileno(), fcntl.LOCK_UN)
def _require_project_and_library(
project_id: str,
library_id: str,
project_repository: Any,
asset_library_repository: Any,
) -> None:
"""Verify project and asset library exist"""
project = GetProjectUseCase(project_repository).execute(project_id)
if project is None:
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Project not found")
libraries = asset_library_repository.find_by_project(project_id)
if not any(item.id == library_id for item in libraries):
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Asset library not found")
def _load_upload_meta(upload_id: str) -> dict[str, Any]:
"""Load upload metadata"""
meta_path = _get_upload_meta_path(upload_id)
@@ -191,6 +206,7 @@ async def init_chunked_upload(
asset_library_repository: Any = Depends(get_asset_library_repository),
) -> ChunkedUploadInitResponse:
"""Initialize chunked upload"""
settings = get_settings()
# Validate file size
if request.file_size > MAX_FILE_SIZE:
@@ -205,7 +221,7 @@ async def init_chunked_upload(
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Project not found")
# Verify asset library
require_project_and_library(
_require_project_and_library(
request.project_id,
request.library_id,
project_repository,
+31 -167
View File
@@ -10,8 +10,6 @@ RESTful CRUD for EditPlan:
- GET /api/v1/edit-plans/{id}/generation-status 查询生成进度(任务 2.05)
- POST /api/v1/edit-plans/{id}/ai-recommend AI 推荐片段方案(任务 3.09)
- POST /api/v1/edit-plans/{id}/generate-cover AI 生成封面(任务 3.09)
- GET /api/v1/edit-plans/{id}/timeline 时间线场景数据
- POST /api/v1/edit-plans/generate-from-template 基于模板+素材自动生成剪辑计划
业务逻辑委托给 EditPlanService 服务层。
"""
@@ -24,14 +22,19 @@ from typing import Any, List, Optional
from app.auth import AuthenticatedUser, get_current_user
from app.core.celery_app import celery_app
from app.core.task_enqueue import GLOBAL_PENDING_LIMIT, USER_PENDING_LIMIT
from app.dependencies import get_asset_library_repository, get_asset_repository, get_db_session, get_project_repository
from app.schemas.generation_task import GenerationTaskResponse
from app.services import EditPlanService, PlanGeneratorService
from app.services import EditPlanService
from fastapi import APIRouter, Depends, HTTPException, Query, status
from pydantic import BaseModel, Field
from sqlalchemy.orm import Session
from packages.adapters.sqlalchemy_impl.asset_library_repository import (
SQLAlchemyAssetLibraryRepository,
)
from packages.adapters.sqlalchemy_impl.asset_repository import (
SQLAlchemyAssetRepository,
)
from packages.adapters.sqlalchemy_impl.generation_task_repository import (
SQLAlchemyGenerationTaskRepository,
)
@@ -45,8 +48,6 @@ from packages.application.generation_tasks import (
CreateGenerationTaskCommand,
CreateGenerationTaskUseCase,
)
from ._helpers import check_project_access
from packages.domain.config_schemas import normalize_plan_config
from packages.domain.edit_plan import EditPlan, EditPlanStatus
@@ -202,47 +203,20 @@ class GenerateCoverResponse(BaseModel):
cover: dict[str, Any] = Field(..., description="封面数据(type / image_url / frame_time 等)")
# ── 基于模板生成剪辑计划 Schemas ─────────────────────────────────────────────
class GenerateFromTemplateRequest(BaseModel):
"""基于模板生成剪辑计划请求体"""
template_id: str = Field(..., description="剪辑模板 ID")
asset_ids: List[str] = Field(default_factory=list, description="素材 ID 列表")
project_id: str = Field(default="", description="所属项目 ID")
name: str = Field(default="", description="计划名称(为空则自动取模板名)")
class _PlanClipItem(BaseModel):
"""片段响应体"""
id: str
clip_type: str
order: int
asset_id: str
text_content: str
start_time: float
duration: float
transition_effect: str
status: str
config: Optional[dict[str, Any]] = None
created_at: datetime
updated_at: datetime
model_config = {"from_attributes": True}
class GenerateFromTemplateResponse(BaseModel):
"""基于模板生成剪辑计划响应体"""
plan: EditPlanResponse
clips: List[_PlanClipItem]
# ── Helpers ───────────────────────────────────────────────────────────────────
def _check_project_access(project_id: str, user_id: str, project_repository: Any) -> None:
"""校验用户对项目的访问权限(参照 assets.py 的 can_access 模式)"""
if not project_id or not project_id.strip():
return
project = project_repository.find_by_id(project_id)
if project is None:
raise HTTPException(status_code=404, detail="项目不存在")
if not project.can_access(user_id):
raise HTTPException(status_code=403, detail="无权访问该项目")
def _to_response(p: EditPlan) -> EditPlanResponse:
return EditPlanResponse(
id=p.id,
@@ -296,7 +270,7 @@ def list_plans(
# 项目鉴权:如果指定了 project_id,校验用户是否有权访问
if project_id:
check_project_access(project_id, current_user.user.id, project_repository)
_check_project_access(project_id, current_user.user.id, project_repository)
skip = (page - 1) * page_size
plans = svc.list_plans(
@@ -338,7 +312,7 @@ def get_plan(
)
# 项目鉴权
if plan.project_id:
check_project_access(plan.project_id, current_user.user.id, project_repository)
_check_project_access(plan.project_id, current_user.user.id, project_repository)
return _to_response(plan)
@@ -354,7 +328,7 @@ def create_plan(
project_id = (body.project_id or "").strip()
# 项目鉴权
if project_id:
check_project_access(project_id, current_user.user.id, project_repository)
_check_project_access(project_id, current_user.user.id, project_repository)
svc = EditPlanService(db)
# 标准化 config,填充 cover/title/subtitle/bgm 默认值
normalized_config = normalize_plan_config(body.config)
@@ -396,7 +370,7 @@ def update_plan(
if existing is None:
raise HTTPException(status_code=404, detail=f"剪辑计划不存在: {plan_id}")
if existing.project_id:
check_project_access(existing.project_id, current_user.user.id, project_repository)
_check_project_access(existing.project_id, current_user.user.id, project_repository)
# 基础字段更新
try:
@@ -450,7 +424,7 @@ def delete_plan(
# 项目鉴权
existing = svc.get_plan(plan_id)
if existing and existing.project_id:
check_project_access(existing.project_id, current_user.user.id, project_repository)
_check_project_access(existing.project_id, current_user.user.id, project_repository)
deleted = svc.delete_plan(plan_id)
if not deleted:
raise HTTPException(
@@ -492,7 +466,7 @@ def generate_plan(
if plan_check is None:
raise HTTPException(status_code=404, detail=f"剪辑计划不存在: {plan_id}")
if plan_check.project_id:
check_project_access(plan_check.project_id, current_user.user.id, project_repository)
_check_project_access(plan_check.project_id, current_user.user.id, project_repository)
# ── 自动兜底 1: draft → editing ──────────────────────────────────────
if plan_check.status == EditPlanStatus.DRAFT:
@@ -630,31 +604,6 @@ def generate_plan(
# 创建 GenerationTask
gen_task_repo = SQLAlchemyGenerationTaskRepository(db)
# 队列限流预检查(repository 不支持计数时跳过)
user_id = current_user.user.id
try:
has_count = hasattr(gen_task_repo, "count_pending_by_user") and hasattr(
gen_task_repo, "count_pending_total"
)
if has_count:
user_pending = gen_task_repo.count_pending_by_user(user_id)
global_pending = gen_task_repo.count_pending_total()
if user_pending >= USER_PENDING_LIMIT:
raise HTTPException(
status_code=429,
detail=f"您的待处理任务过多(当前 {user_pending}/{USER_PENDING_LIMIT}),请等待完成后再提交",
)
if global_pending >= GLOBAL_PENDING_LIMIT:
raise HTTPException(
status_code=503,
detail="系统繁忙,请稍后再试",
)
except HTTPException:
raise
except Exception as e:
logger.warning("[队列限流] 剪辑计划限流检查失败,跳过: %s", e)
gen_task_use_case = CreateGenerationTaskUseCase(gen_task_repo)
plan = svc.get_plan_or_raise(plan_id)
gen_task = gen_task_use_case.execute(
@@ -695,7 +644,7 @@ def generate_plan(
except HTTPException:
# 已处理的 HTTP 异常直接透传
raise
except Exception:
except Exception as exc:
logger.exception("触发剪辑计划生成失败: plan_id=%s", plan_id)
# 尝试将计划标记为失败(RENDERING → FAILED 是合法的状态流转)
try:
@@ -734,7 +683,7 @@ def get_generation_status(
plan = gen_status["plan"]
# 项目鉴权
if plan.project_id:
check_project_access(plan.project_id, current_user.user.id, project_repository)
_check_project_access(plan.project_id, current_user.user.id, project_repository)
clips = gen_status["clips"]
clip_items = [
@@ -776,7 +725,7 @@ def list_plan_generations(
# 验证计划存在 + 项目鉴权
plan = svc.get_plan_or_raise(plan_id)
if plan.project_id:
check_project_access(plan.project_id, current_user.user.id, project_repository)
_check_project_access(plan.project_id, current_user.user.id, project_repository)
gen_task_repo = SQLAlchemyGenerationTaskRepository(db)
tasks = gen_task_repo.list_by_source_edit_plan(plan_id)
@@ -845,7 +794,7 @@ def ai_recommend_clips(
# 项目鉴权
if plan.project_id:
check_project_access(plan.project_id, current_user.user.id, project_repository)
_check_project_access(plan.project_id, current_user.user.id, project_repository)
# 验证状态:只允许 draft 或 editing
plan_status = plan.status.value if hasattr(plan.status, "value") else plan.status
@@ -894,7 +843,7 @@ def ai_recommend_clips(
config=normalized_config,
total_duration=result["total_duration"],
)
except Exception:
except Exception as exc:
logger.exception("AI 推荐写入失败,plan_id=%s 数据可能不一致", plan_id)
# 尝试回滚未提交的变更
try:
@@ -975,7 +924,7 @@ def generate_cover(
# 项目鉴权
if plan.project_id:
check_project_access(plan.project_id, current_user.user.id, project_repository)
_check_project_access(plan.project_id, current_user.user.id, project_repository)
# 调用 AI 封面生成服务
from apps.worker.worker_app.tasks.ai_tasks import run_generate_cover
@@ -1095,7 +1044,7 @@ def get_plan_timeline(
plan = svc.get_plan_or_raise(plan_id)
# 项目鉴权
if plan.project_id:
check_project_access(plan.project_id, current_user.user.id, project_repository)
_check_project_access(plan.project_id, current_user.user.id, project_repository)
clips = svc.list_clips(plan_id=plan_id, skip=0, limit=200)
# 按 order 排序
@@ -1129,88 +1078,3 @@ def get_plan_timeline(
total_duration=total_duration,
scenes=scenes,
)
# ── 基于模板生成剪辑计划 ─────────────────────────────────────────────────────
@router.post(
"/generate-from-template",
response_model=GenerateFromTemplateResponse,
status_code=status.HTTP_201_CREATED,
)
def generate_from_template(
body: GenerateFromTemplateRequest,
db: Session = Depends(get_db_session),
current_user: AuthenticatedUser = Depends(get_current_user),
project_repository: Any = Depends(get_project_repository),
) -> GenerateFromTemplateResponse:
"""基于模板 + 素材自动生成剪辑计划
流程:
1. 获取模板及其片段配置
2. 调用 PlanGeneratorService 生成 EditPlan + EditPlanClips
3. 返回完整的计划和片段列表
"""
from app.services import EditTemplateService
# 项目鉴权
if body.project_id:
check_project_access(body.project_id, current_user.user.id, project_repository)
template_svc = EditTemplateService(db)
# 获取模板
try:
template = template_svc.get_template_or_raise(body.template_id)
except ValueError as exc:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail=str(exc),
)
# 获取模板片段配置
clip_configs = template_svc.list_clip_configs(body.template_id, skip=0, limit=200)
# 调用 PlanGeneratorService 生成计划
generator = PlanGeneratorService(db)
result = generator.generate_from_template(
template=template,
clip_configs=clip_configs,
asset_ids=body.asset_ids,
project_id=body.project_id,
created_by_user_id=current_user.user.id,
name=body.name,
)
plan = result["plan"]
clips = result["clips"]
logger.info(
"基于模板生成剪辑计划: plan_id=%s template_id=%s clips=%d by user=%s",
plan.id,
body.template_id,
len(clips),
current_user.user.id,
)
return GenerateFromTemplateResponse(
plan=_to_response(plan),
clips=[
_PlanClipItem(
id=c.id,
clip_type=c.clip_type,
order=c.order,
asset_id=c.asset_id,
text_content=c.text_content,
start_time=c.start_time,
duration=c.duration,
transition_effect=c.transition_effect,
status=c.status.value if hasattr(c.status, "value") else c.status,
config=c.config,
created_at=c.created_at,
updated_at=c.updated_at,
)
for c in clips
],
)
-10
View File
@@ -41,9 +41,6 @@ class EditTemplateCreateRequest(BaseModel):
name: str = Field(..., min_length=1, max_length=200, description="模板名称")
description: str = Field(default="", max_length=2000, description="模板描述")
template_type: str = Field(default="default", max_length=50, description="模板类型")
editing_mode: str = Field(
default="one_take", max_length=20, description="剪辑模式: one_take/pip/voice_over/voice_pip"
)
config: dict[str, Any] = Field(default_factory=dict, description="模板配置 (JSON)")
preview_url: str = Field(default="", max_length=500, description="预览地址")
sort_weight: int = Field(default=0, ge=0, le=9999, description="排序权重")
@@ -55,9 +52,6 @@ class EditTemplateUpdateRequest(BaseModel):
name: Optional[str] = Field(default=None, min_length=1, max_length=200, description="模板名称")
description: Optional[str] = Field(default=None, max_length=2000, description="模板描述")
template_type: Optional[str] = Field(default=None, max_length=50, description="模板类型")
editing_mode: Optional[str] = Field(
default=None, max_length=20, description="剪辑模式: one_take/pip/voice_over/voice_pip"
)
config: Optional[dict[str, Any]] = Field(default=None, description="模板配置 (JSON)")
preview_url: Optional[str] = Field(default=None, max_length=500, description="预览地址")
sort_weight: Optional[int] = Field(default=None, ge=0, le=9999, description="排序权重")
@@ -71,7 +65,6 @@ class EditTemplateResponse(BaseModel):
name: str
description: str
template_type: str
editing_mode: str
config: dict[str, Any]
preview_url: str
sort_weight: int
@@ -109,7 +102,6 @@ def _to_response(t: EditTemplate) -> EditTemplateResponse:
name=t.name,
description=t.description,
template_type=t.template_type,
editing_mode=t.editing_mode,
config=t.config,
preview_url=t.preview_url,
sort_weight=t.sort_weight,
@@ -203,7 +195,6 @@ def create_template(
name=body.name,
description=body.description,
template_type=body.template_type,
editing_mode=body.editing_mode,
config=normalized_config,
preview_url=body.preview_url,
sort_weight=body.sort_weight,
@@ -248,7 +239,6 @@ def update_template(
name=body.name,
description=body.description,
template_type=body.template_type,
editing_mode=body.editing_mode,
config=config_to_update,
preview_url=body.preview_url,
sort_weight=body.sort_weight,
-195
View File
@@ -1,195 +0,0 @@
"""Feature Flag 内部管理接口。
通过内部 API Key 鉴权,支持查看和修改 Feature Flag 配置。
主要用于灰度发布期间的动态开关控制。
API:
GET /api/v1/internal/feature-flags - 列出所有 flag
GET /api/v1/internal/feature-flags/{name} - 查看单个 flag
PUT /api/v1/internal/feature-flags/{name} - 设置 flag 配置
DELETE /api/v1/internal/feature-flags/{name} - 删除 flag
鉴权:X-API-Key header,走内部 API Key 验证
"""
from __future__ import annotations
import logging
from typing import Optional
from app.api.routes.auth import _verify_internal_api_key
from app.config import settings
from fastapi import APIRouter, Depends, HTTPException, Query, status
from pydantic import BaseModel, Field
from packages.adapters.redis.feature_flag_store import (
FEATURE_FLAG_REDIS_PREFIX,
FeatureFlagConfig,
RedisFeatureFlagStore,
)
logger = logging.getLogger(__name__)
router = APIRouter(prefix="/internal/feature-flags", tags=["Internal"])
# 允许管理的 flag 白名单(防止误操作其他系统 flag)
ALLOWED_FLAGS = {
"render_engine",
}
def _get_feature_flag_store() -> RedisFeatureFlagStore:
"""获取 Feature Flag 存储实例。"""
return RedisFeatureFlagStore(redis_url=settings.REDIS_URL)
class FeatureFlagUpdateRequest(BaseModel):
"""Feature Flag 更新请求体。"""
enabled: bool = Field(..., description="是否启用")
percentage: int = Field(0, ge=0, le=100, description="灰度百分比 (0-100)")
whitelist: list[str] = Field(default_factory=list, description="白名单列表(如 user_id")
class FeatureFlagResponse(BaseModel):
"""Feature Flag 响应。"""
name: str
enabled: bool
percentage: int
whitelist: list[str]
@classmethod
def from_config(cls, config: FeatureFlagConfig) -> "FeatureFlagResponse":
return cls(
name=config.name,
enabled=config.enabled,
percentage=config.percentage,
whitelist=sorted(config.whitelist),
)
class FeatureFlagCheckResponse(BaseModel):
"""Flag 激活检查响应。"""
name: str
active: bool
identifier: Optional[str] = None
def _validate_flag_name(name: str) -> None:
"""校验 flag 名称是否在允许列表中。"""
if name not in ALLOWED_FLAGS:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail=f"Unsupported flag: {name}. Allowed: {sorted(ALLOWED_FLAGS)}",
)
@router.get("", response_model=list[FeatureFlagResponse])
async def list_feature_flags(
_: bool = Depends(_verify_internal_api_key),
store: RedisFeatureFlagStore = Depends(_get_feature_flag_store),
):
"""列出所有 Feature Flag。"""
try:
flags = store.list_all()
# 同时返回预定义的 flag(即使未设置也显示默认值)
result = []
for name in sorted(ALLOWED_FLAGS):
config = flags.get(name) or FeatureFlagConfig(name=name, enabled=False)
result.append(FeatureFlagResponse.from_config(config))
# 加上已存在但不在白名单中的 flag(只读展示)
for name, config in flags.items():
if name not in ALLOWED_FLAGS:
result.append(FeatureFlagResponse.from_config(config))
return sorted(result, key=lambda x: x.name)
except Exception as exc:
logger.error("Failed to list feature flags: %s", exc)
raise HTTPException(status_code=500, detail=f"Failed to list flags: {exc}")
@router.get("/{name}", response_model=FeatureFlagResponse)
async def get_feature_flag(
name: str,
_: bool = Depends(_verify_internal_api_key),
store: RedisFeatureFlagStore = Depends(_get_feature_flag_store),
):
"""获取单个 Feature Flag 配置。"""
try:
config = store.get(name)
return FeatureFlagResponse.from_config(config)
except Exception as exc:
logger.error("Failed to get feature flag %s: %s", name, exc)
raise HTTPException(status_code=500, detail=f"Failed to get flag: {exc}")
@router.get("/{name}/check", response_model=FeatureFlagCheckResponse)
async def check_feature_flag(
name: str,
identifier: Optional[str] = Query(None, description="标识符,如 user_id"),
_: bool = Depends(_verify_internal_api_key),
store: RedisFeatureFlagStore = Depends(_get_feature_flag_store),
):
"""检查某个标识符是否命中 Feature Flag。"""
try:
active = store.is_active(name, identifier=identifier)
return FeatureFlagCheckResponse(name=name, active=active, identifier=identifier)
except Exception as exc:
logger.error("Failed to check feature flag %s: %s", name, exc)
raise HTTPException(status_code=500, detail=f"Failed to check flag: {exc}")
@router.put("/{name}", response_model=FeatureFlagResponse)
async def update_feature_flag(
name: str,
request: FeatureFlagUpdateRequest,
_: bool = Depends(_verify_internal_api_key),
store: RedisFeatureFlagStore = Depends(_get_feature_flag_store),
):
"""更新 Feature Flag 配置。
只允许修改 ALLOWED_FLAGS 列表中的 flag。
"""
_validate_flag_name(name)
try:
config = FeatureFlagConfig(
name=name,
enabled=request.enabled,
percentage=request.percentage,
whitelist=set(request.whitelist),
)
store.set(config)
logger.info(
"Feature flag updated: name=%s enabled=%s percentage=%d whitelist=%d",
name,
config.enabled,
config.percentage,
len(config.whitelist),
)
return FeatureFlagResponse.from_config(config)
except Exception as exc:
logger.error("Failed to update feature flag %s: %s", name, exc)
raise HTTPException(status_code=500, detail=f"Failed to update flag: {exc}")
@router.delete("/{name}", status_code=status.HTTP_204_NO_CONTENT)
async def delete_feature_flag(
name: str,
_: bool = Depends(_verify_internal_api_key),
store: RedisFeatureFlagStore = Depends(_get_feature_flag_store),
):
"""删除 Feature Flag。
只允许删除 ALLOWED_FLAGS 列表中的 flag。
"""
_validate_flag_name(name)
try:
deleted = store.delete(name)
logger.info("Feature flag deleted: name=%s deleted=%s", name, deleted)
return None
except Exception as exc:
logger.error("Failed to delete feature flag %s: %s", name, exc)
raise HTTPException(status_code=500, detail=f"Failed to delete flag: {exc}")
+39 -155
View File
@@ -1,18 +1,9 @@
import logging
import random
import uuid
from typing import Any
from app.auth import AuthenticatedUser, get_current_user
from app.core.storage import OSSStorageService, get_storage_service
from app.core.task_enqueue import (
GLOBAL_PENDING_LIMIT,
USER_PENDING_LIMIT,
GlobalQueueFull,
UserPendingLimitExceeded,
check_queue_limits,
safe_enqueue_generation_task,
)
from app.core.celery_app import celery_app
from app.dependencies import (
get_asset_library_repository,
get_asset_repository,
@@ -32,8 +23,6 @@ from app.schemas.generation_task import (
)
from fastapi import APIRouter, Depends, HTTPException
from app.api.routes._helpers import check_project_access
from packages.application import (
CreateGenerationTaskCommand,
CreateGenerationTaskUseCase,
@@ -41,10 +30,18 @@ from packages.application import (
ListGeneratedVideosByTaskUseCase,
)
logger = logging.getLogger(__name__)
router = APIRouter()
def _check_project_access(project_id: str, user_id: str, project_repository) -> None:
"""检查用户是否有项目访问权限"""
project = project_repository.find_by_id(project_id)
if project is None:
raise HTTPException(status_code=404, detail=f"Project {project_id} not found")
if not project.can_access(user_id):
raise HTTPException(status_code=403, detail="Access denied to project")
def _to_generation_task_response(task) -> GenerationTaskResponse:
return GenerationTaskResponse(
id=task.id,
@@ -59,7 +56,6 @@ def _to_generation_task_response(task) -> GenerationTaskResponse:
source_edit_plan_id=task.source_edit_plan_id or "",
asset_select_mode=getattr(task, "asset_select_mode", ""),
batch_id=getattr(task, "batch_id", ""),
logs=getattr(task, "logs", "[]"),
status=task.status,
progress=task.progress,
result_count=task.result_count,
@@ -67,7 +63,7 @@ def _to_generation_task_response(task) -> GenerationTaskResponse:
)
def _to_generated_video_response(item, download_url: str | None = None) -> GeneratedVideoResponse:
def _to_generated_video_response(item) -> GeneratedVideoResponse:
return GeneratedVideoResponse(
id=item.id,
project_id=item.project_id,
@@ -80,7 +76,6 @@ def _to_generated_video_response(item, download_url: str | None = None) -> Gener
width=item.width,
height=item.height,
fps=item.fps,
download_url=download_url,
)
@@ -184,37 +179,19 @@ def create_generation_task(
asset_library_repository: Any = Depends(get_asset_library_repository),
asset_repository: Any = Depends(get_asset_repository),
) -> BatchGenerationTaskResponse:
logger.info(
"[生成任务] 接收请求: user_id=%s, template_id=%s, asset_count=%d, mode=%s, count=%d",
authenticated_user.user.id,
request.template_id,
len(request.asset_ids),
request.asset_select_mode,
request.count,
project_id, asset_library_id = _resolve_project_and_library(
request, project_repository, asset_library_repository, asset_repository, authenticated_user
)
try:
project_id, asset_library_id = _resolve_project_and_library(
request, project_repository, asset_library_repository, asset_repository, authenticated_user
)
except HTTPException as e:
logger.warning("[生成任务] 校验失败: %s", e.detail)
raise
# asset_library 存在性校验(仅在提供了 asset_library_id 时)
resolved_asset_ids: list[str] = list(request.asset_ids)
if asset_library_id:
library = asset_library_repository.get(asset_library_id)
if library is None or (project_id and library.project_id != project_id):
logger.warning("[生成任务] 素材库不存在: library_id=%s", asset_library_id)
raise HTTPException(status_code=404, detail=f"AssetLibrary {asset_library_id} not found")
assets = asset_repository.find_by_library(asset_library_id)
try:
_ensure_library_has_ready_video_assets(assets)
except HTTPException as e:
logger.warning("[生成任务] 素材校验失败: %s", e.detail)
raise
_ensure_library_has_ready_video_assets(assets)
# 素材库自动匹配:当未显式指定 asset_ids 时,按模式自动选取
if not resolved_asset_ids:
@@ -227,85 +204,30 @@ def create_generation_task(
use_case = CreateGenerationTaskUseCase(generation_task_repository)
count = request.count
created_tasks = []
failed_tasks = []
user_id = authenticated_user.user.id
# 同批次任务共享 batch_id,用于视频查重时批次内比对
batch_id = uuid.uuid4().hex if count > 1 else ""
# 预检查:批量提交前先看会不会超限,避免建一半才拒
try:
user_pending = generation_task_repository.count_pending_by_user(user_id)
global_pending = generation_task_repository.count_pending_total()
if user_pending + count > USER_PENDING_LIMIT:
raise UserPendingLimitExceeded(
user_id=user_id, pending_count=user_pending + count, limit=USER_PENDING_LIMIT
for _ in range(count):
task = use_case.execute(
CreateGenerationTaskCommand(
project_id=project_id,
asset_library_id=asset_library_id,
strategy_id=request.strategy_id,
voice_library_id=request.voice_library_id,
template_id=request.template_id,
asset_ids=resolved_asset_ids,
title_ids=request.title_ids,
voice_ids=request.voice_ids,
created_by_user_id=authenticated_user.user.id,
source_edit_plan_id=request.source_edit_plan_id,
asset_select_mode=request.asset_select_mode,
batch_id=batch_id,
)
if global_pending + count > GLOBAL_PENDING_LIMIT:
raise GlobalQueueFull(pending_count=global_pending + count, 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 - count}/{e.limit},本次提交 {count} 个),请等待完成后再提交",
) from e
except GlobalQueueFull as e:
raise HTTPException(
status_code=503,
detail="系统繁忙,请稍后再试",
) from e
)
celery_app.send_task("worker.generate_video", args=[task.id])
created_tasks.append(task)
try:
for _ in range(count):
task = use_case.execute(
CreateGenerationTaskCommand(
project_id=project_id,
asset_library_id=asset_library_id,
strategy_id=request.strategy_id,
voice_library_id=request.voice_library_id,
template_id=request.template_id,
asset_ids=resolved_asset_ids,
title_ids=request.title_ids,
voice_ids=request.voice_ids,
created_by_user_id=user_id,
source_edit_plan_id=request.source_edit_plan_id,
asset_select_mode=request.asset_select_mode,
batch_id=batch_id,
)
)
try:
if safe_enqueue_generation_task(
task,
generation_task_repository,
user_id=user_id,
log_prefix="[生成任务]",
log_task_status=True,
):
created_tasks.append(task)
else:
failed_tasks.append(task)
except UserPendingLimitExceeded:
# 兜底:如果预检查后又并发提交了,在这里也拦住
failed_tasks.append(task)
if not created_tasks:
raise HTTPException(
status_code=429,
detail="您的待处理任务过多,请等待完成后再提交",
)
break
except GlobalQueueFull:
failed_tasks.append(task)
if not created_tasks:
raise HTTPException(
status_code=503,
detail="系统繁忙,请稍后再试",
)
break
except HTTPException:
raise
except Exception as e:
logger.error("[生成任务] 创建失败: %s", e, exc_info=True)
raise HTTPException(status_code=500, detail="创建生成任务失败,请稍后重试或查看任务日志")
items = [_to_generation_task_response(t) for t in created_tasks + failed_tasks]
items = [_to_generation_task_response(t) for t in created_tasks]
return BatchGenerationTaskResponse(items=items, total=len(items))
@@ -332,7 +254,7 @@ def get_generation_task(
if task is None:
raise HTTPException(status_code=404, detail=f"GenerationTask {task_id} not found")
if task.project_id:
check_project_access(task.project_id, authenticated_user.user.id, project_repository)
_check_project_access(task.project_id, authenticated_user.user.id, project_repository)
return _to_generation_task_response(task)
@@ -343,20 +265,15 @@ def list_generation_results(
generation_task_repository: Any = Depends(get_generation_task_repository),
generated_video_repository: Any = Depends(get_generated_video_repository),
project_repository: Any = Depends(get_project_repository),
storage_service: OSSStorageService = Depends(get_storage_service),
) -> ListGeneratedVideosResponse:
task = generation_task_repository.get(task_id)
if task is None:
raise HTTPException(status_code=404, detail=f"GenerationTask {task_id} not found")
if task.project_id:
check_project_access(task.project_id, authenticated_user.user.id, project_repository)
_check_project_access(task.project_id, authenticated_user.user.id, project_repository)
use_case = ListGeneratedVideosByTaskUseCase(generated_video_repository)
items = use_case.execute(task_id)
responses = []
for item in items:
download_url = storage_service.get_download_url(item.file_url, expires_seconds=86400)
responses.append(_to_generated_video_response(item, download_url=download_url))
return ListGeneratedVideosResponse(items=responses)
return ListGeneratedVideosResponse(items=[_to_generated_video_response(item) for item in items])
@router.post("/tasks/{task_id}/retry", response_model=GenerationTaskResponse)
@@ -375,21 +292,6 @@ def retry_generation_task(
if status_val != "failed":
raise HTTPException(status_code=409, detail="Only failed tasks can be retried")
user_id = authenticated_user.user.id
# 预检查:创建前判断,>= 上限就拒绝
user_pending = generation_task_repository.count_pending_by_user(user_id)
global_pending = generation_task_repository.count_pending_total()
if user_pending >= USER_PENDING_LIMIT:
raise HTTPException(
status_code=429,
detail=f"您的待处理任务过多(当前 {user_pending}/{USER_PENDING_LIMIT}),请等待完成后再提交",
)
if global_pending >= GLOBAL_PENDING_LIMIT:
raise HTTPException(
status_code=503,
detail="系统繁忙,请稍后再试",
)
use_case = CreateGenerationTaskUseCase(generation_task_repository)
retried = use_case.execute(
CreateGenerationTaskCommand(
@@ -401,28 +303,10 @@ def retry_generation_task(
asset_ids=task.asset_ids,
title_ids=task.title_ids,
voice_ids=task.voice_ids,
created_by_user_id=user_id,
created_by_user_id=authenticated_user.user.id,
source_edit_plan_id=task.source_edit_plan_id or "",
asset_select_mode=getattr(task, "asset_select_mode", ""),
)
)
try:
if not safe_enqueue_generation_task(
retried,
generation_task_repository,
user_id=user_id,
log_prefix="[生成任务]",
log_task_status=True,
):
logger.warning("[生成任务] 重试入队失败: task_id=%s", retried.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
celery_app.send_task("worker.generate_video", args=[retried.id])
return _to_generation_task_response(retried)
-120
View File
@@ -1,120 +0,0 @@
"""渲染结果内部下载接口。
通过内部 API Key 鉴权,为灰度对比工具等内部系统提供渲染结果下载能力。
API:
GET /api/v1/internal/render/videos/{video_id}/download-url - 获取单个视频下载URL
GET /api/v1/internal/render/tasks/{task_id}/videos - 获取任务下所有视频及下载URL
鉴权:X-API-Key header,走内部 API Key 验证
"""
from __future__ import annotations
import logging
from typing import Any
from app.api.routes.auth import _verify_internal_api_key
from app.core.storage import OSSStorageService, get_storage_service
from app.dependencies import get_generated_video_repository
from fastapi import APIRouter, Depends, HTTPException, Query
from pydantic import BaseModel
logger = logging.getLogger(__name__)
router = APIRouter(prefix="/internal/render", tags=["Internal"])
class InternalRenderVideoItem(BaseModel):
"""内部渲染视频项。"""
video_id: str
generation_task_id: str
project_id: str
name: str
file_url: str
file_size: int | None = None
duration: float | None = None
width: int | None = None
height: int | None = None
fps: float | None = None
status: str
download_url: str
class InternalRenderTaskVideosResponse(BaseModel):
"""任务下所有渲染视频响应。"""
task_id: str
count: int
videos: list[InternalRenderVideoItem]
class InternalRenderDownloadUrlResponse(BaseModel):
"""单个视频下载URL响应。"""
video_id: str
download_url: str
def _video_to_item(video: Any, download_url: str) -> InternalRenderVideoItem:
"""将 GeneratedVideo 领域对象转为响应项。"""
return InternalRenderVideoItem(
video_id=video.id,
generation_task_id=video.generation_task_id,
project_id=video.project_id,
name=video.name,
file_url=video.file_url,
file_size=getattr(video, "file_size", None),
duration=getattr(video, "duration", None),
width=getattr(video, "width", None),
height=getattr(video, "height", None),
fps=getattr(video, "fps", None),
status=video.status,
download_url=download_url,
)
@router.get("/videos/{video_id}/download-url", response_model=InternalRenderDownloadUrlResponse)
def get_render_video_download_url(
video_id: str,
_: bool = Depends(_verify_internal_api_key),
generated_video_repository: Any = Depends(get_generated_video_repository),
storage_service: OSSStorageService = Depends(get_storage_service),
) -> InternalRenderDownloadUrlResponse:
"""获取单个渲染视频的下载URL(预签名)。"""
video = generated_video_repository.get(video_id)
if video is None:
raise HTTPException(status_code=404, detail=f"GeneratedVideo {video_id} not found")
download_url = storage_service.get_download_url(video.file_url, expires_seconds=86400)
logger.info("内部渲染下载URL生成: video_id=%s", video_id)
return InternalRenderDownloadUrlResponse(video_id=video_id, download_url=download_url)
@router.get("/tasks/{task_id}/videos", response_model=InternalRenderTaskVideosResponse)
def get_render_task_videos(
task_id: str,
status: str | None = Query(None, description="按状态筛选,如 completed/failed"),
_: bool = Depends(_verify_internal_api_key),
generated_video_repository: Any = Depends(get_generated_video_repository),
storage_service: OSSStorageService = Depends(get_storage_service),
) -> InternalRenderTaskVideosResponse:
"""获取生成任务下所有渲染视频及下载URL。"""
videos = generated_video_repository.list_by_generation_task(task_id)
# 状态筛选
if status:
videos = [v for v in videos if v.status == status]
items = []
for video in videos:
download_url = storage_service.get_download_url(video.file_url, expires_seconds=86400)
items.append(_video_to_item(video, download_url))
logger.info("内部渲染任务视频查询: task_id=%s count=%d", task_id, len(items))
return InternalRenderTaskVideosResponse(
task_id=task_id,
count=len(items),
videos=items,
)
+13 -6
View File
@@ -20,7 +20,7 @@ from typing import Any
from app.auth import AuthenticatedUser, get_current_user
from app.core.celery_app import celery_app
from app.dependencies import get_job_repository, get_project_repository
from app.dependencies import get_db_session, get_job_repository, get_project_repository
from app.schemas.job import (
CompleteJobRequest,
CreateJobRequest,
@@ -51,8 +51,6 @@ from packages.application.jobs import (
)
from packages.domain.job import JobType
from app.api.routes._helpers import check_project_access
logger = logging.getLogger(__name__)
router = APIRouter()
@@ -68,6 +66,15 @@ _JOB_TYPE_TO_CELERY_TASK: dict[str, str] = {
}
def _check_project_access(project_id: str, user_id: str, project_repository) -> None:
"""检查用户是否有项目访问权限。"""
project = project_repository.find_by_id(project_id)
if project is None:
raise HTTPException(status_code=404, detail=f"Project {project_id} not found")
if not project.can_access(user_id):
raise HTTPException(status_code=403, detail="Access denied to project")
# ── 创建任务 ──────────────────────────────────────────────────────────────────
@@ -82,7 +89,7 @@ def create_job(
创建后任务处于 pending 状态,需要调用 /submit 提交执行。
"""
check_project_access(request.project_id, authenticated_user.user.id, project_repository)
_check_project_access(request.project_id, authenticated_user.user.id, project_repository)
# 校验 job_type
try:
@@ -175,7 +182,7 @@ def list_project_jobs(
offset: int = Query(default=0, ge=0),
) -> ListJobsResponse:
"""获取项目下的任务列表。"""
check_project_access(project_id, authenticated_user.user.id, project_repository)
_check_project_access(project_id, authenticated_user.user.id, project_repository)
use_case = ListJobsUseCase(job_repo)
jobs = use_case.execute(
@@ -197,7 +204,7 @@ def get_job_statistics(
project_repository: Any = Depends(get_project_repository),
) -> JobStatisticsResponse:
"""获取项目任务统计摘要。"""
check_project_access(project_id, authenticated_user.user.id, project_repository)
_check_project_access(project_id, authenticated_user.user.id, project_repository)
use_case = GetJobStatisticsUseCase(job_repo)
stats = use_case.execute(project_id)
+8 -3
View File
@@ -33,8 +33,6 @@ from packages.application.recipe.use_cases import (
)
from packages.ports.user_repository import UserRepository
from app.api.routes._helpers import get_user_plan
router = APIRouter()
@@ -42,6 +40,13 @@ def _get_recipe_repository(session: Session = Depends(get_db_session)) -> SQLAlc
return SQLAlchemyRecipeRepository(session)
def _get_user_plan(user_id: str, user_repository: UserRepository) -> str:
user = user_repository.find_by_id(user_id)
if user is None:
return "free"
return getattr(user, "subscription_plan", "free") or "free"
def _item_to_response(item) -> RecipeItemResponse:
return RecipeItemResponse(
id=item.id,
@@ -189,7 +194,7 @@ def use_recipe(
user_repository: UserRepository = Depends(get_user_repository),
) -> UseRecipeResponse:
user_id = authenticated_user.user.id
plan_name = get_user_plan(user_id, user_repository)
plan_name = _get_user_plan(user_id, user_repository)
use_case = UseRecipeUseCase(recipe_repository)
try:
result = use_case.execute(recipe_id, user_id, user_plan=plan_name)
+1 -1
View File
@@ -232,7 +232,7 @@ async def payment_callback(
# 创建账单记录
record_id = uuid.uuid4().hex
repo.create(
record = repo.create(
{
"id": record_id,
"user_id": user_id,
+5 -73
View File
@@ -1,15 +1,7 @@
import logging
from typing import Any
from app.auth import AuthenticatedUser, get_current_user
from app.core.celery_app import celery_app
from app.core.task_enqueue import (
GLOBAL_PENDING_LIMIT,
USER_PENDING_LIMIT,
GlobalQueueFull,
UserPendingLimitExceeded,
safe_enqueue_generation_task,
)
from app.dependencies import (
get_generation_task_repository,
get_ingest_job_repository,
@@ -30,10 +22,9 @@ from packages.application import (
SubmitIngestJobUseCase,
)
logger = logging.getLogger(__name__)
router = APIRouter()
def _humanize_task_error(error_message: str) -> str:
raw = (error_message or "").strip()
if not raw:
@@ -148,21 +139,6 @@ def retry_task_by_id(
if _status_value(task.status) != "failed":
raise HTTPException(status_code=409, detail="Only failed tasks can be retried")
user_id = authenticated_user.user.id
# 预检查
user_pending = generation_task_repository.count_pending_by_user(user_id)
global_pending = generation_task_repository.count_pending_total()
if user_pending >= USER_PENDING_LIMIT:
raise HTTPException(
status_code=429,
detail=f"您的待处理任务过多(当前 {user_pending}/{USER_PENDING_LIMIT}),请等待完成后再提交",
)
if global_pending >= GLOBAL_PENDING_LIMIT:
raise HTTPException(
status_code=503,
detail="系统繁忙,请稍后再试",
)
use_case = CreateGenerationTaskUseCase(generation_task_repository)
retried = use_case.execute(
CreateGenerationTaskCommand(
@@ -174,24 +150,10 @@ def retry_task_by_id(
asset_ids=task.asset_ids,
title_ids=task.title_ids,
voice_ids=task.voice_ids,
created_by_user_id=user_id,
created_by_user_id=authenticated_user.user.id,
)
)
try:
if not safe_enqueue_generation_task(
retried, generation_task_repository, user_id=user_id, log_prefix="[任务中心]"
):
logger.warning("[任务中心] 用户级重试入队失败: task_id=%s", retried.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
celery_app.send_task("worker.generate_video", args=[retried.id])
return UserTaskResponse(
id=f"generation:{retried.id}",
task_type="generation",
@@ -259,22 +221,6 @@ def retry_project_task(
raise HTTPException(status_code=404, detail="Generation task not found")
if _status_value(task.status) != "failed":
raise HTTPException(status_code=409, detail="Only failed tasks can be retried")
user_id = authenticated_user.user.id
# 预检查
user_pending = generation_task_repository.count_pending_by_user(user_id)
global_pending = generation_task_repository.count_pending_total()
if user_pending >= USER_PENDING_LIMIT:
raise HTTPException(
status_code=429,
detail=f"您的待处理任务过多(当前 {user_pending}/{USER_PENDING_LIMIT}),请等待完成后再提交",
)
if global_pending >= GLOBAL_PENDING_LIMIT:
raise HTTPException(
status_code=503,
detail="系统繁忙,请稍后再试",
)
use_case = CreateGenerationTaskUseCase(generation_task_repository)
retried = use_case.execute(
CreateGenerationTaskCommand(
@@ -286,24 +232,10 @@ def retry_project_task(
asset_ids=task.asset_ids,
title_ids=task.title_ids,
voice_ids=task.voice_ids,
created_by_user_id=user_id,
created_by_user_id=authenticated_user.user.id,
)
)
try:
if not safe_enqueue_generation_task(
retried, generation_task_repository, user_id=user_id, log_prefix="[任务中心]"
):
logger.warning("[任务中心] 项目级重试入队失败: task_id=%s", retried.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
celery_app.send_task("worker.generate_video", args=[retried.id])
return _generation_task_to_project_response(retried)
if task_type == "ingest":
job = ingest_job_repository.get(source_id)
+8 -3
View File
@@ -28,8 +28,6 @@ from packages.application.title_library.use_cases import (
)
from packages.ports.user_repository import UserRepository
from app.api.routes._helpers import get_user_plan
router = APIRouter()
@@ -53,6 +51,13 @@ def _to_response(item) -> TitleLibraryItemResponse:
)
def _get_user_plan(user_id: str, user_repository: UserRepository) -> str:
user = user_repository.find_by_id(user_id)
if user is None:
return "free"
return getattr(user, "subscription_plan", "free") or "free"
@router.get("", response_model=ListTitleLibraryResponse)
def list_titles(
category: Optional[str] = Query(None),
@@ -93,7 +98,7 @@ def create_title(
user_repository: UserRepository = Depends(get_user_repository),
) -> TitleLibraryItemResponse:
user_id = authenticated_user.user.id
plan_name = get_user_plan(user_id, user_repository)
plan_name = _get_user_plan(user_id, user_repository)
command = CreateTitleLibraryCommand(
user_id=user_id,
name=request.name,
Executable → Regular
+6 -17
View File
@@ -7,7 +7,6 @@ from typing import Optional
from app.auth import AuthenticatedUser, get_current_user
from app.dependencies import (
get_audio_url_signer,
get_cosyvoice_service,
get_db_session,
get_user_repository,
@@ -57,10 +56,7 @@ def _get_repository(session: Session = Depends(get_db_session)) -> SQLAlchemyTTS
return SQLAlchemyTTSJobRepository(session)
def _to_response(job, sign_url=None) -> TTSJobResponse:
output_url = job.output_audio_url
if sign_url and output_url:
output_url = sign_url(output_url)
def _to_response(job) -> TTSJobResponse:
return TTSJobResponse(
id=job.id,
user_id=job.user_id,
@@ -70,7 +66,7 @@ def _to_response(job, sign_url=None) -> TTSJobResponse:
project_id=job.project_id,
voice_clone_profile_id=job.voice_clone_profile_id,
status=job.status,
output_audio_url=output_url,
output_audio_url=job.output_audio_url,
output_audio_key=job.output_audio_key,
duration=job.duration,
file_size=job.file_size,
@@ -180,7 +176,6 @@ def list_tts_jobs(
status_filter: Optional[str] = Query(None, alias="status"),
authenticated_user: AuthenticatedUser = Depends(get_current_user),
repository: SQLAlchemyTTSJobRepository = Depends(_get_repository),
sign_url=Depends(get_audio_url_signer),
) -> ListTTSJobResponse:
"""列出用户的 TTS 合成任务。"""
user_id = authenticated_user.user.id
@@ -188,7 +183,7 @@ def list_tts_jobs(
skip = (page - 1) * page_size
items, total = use_case.execute(user_id, status=status_filter, skip=skip, limit=page_size)
return ListTTSJobResponse(
items=[_to_response(j, sign_url) for j in items],
items=[_to_response(j) for j in items],
total=total,
page=page,
page_size=page_size,
@@ -200,7 +195,6 @@ def get_tts_job(
job_id: str,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
repository: SQLAlchemyTTSJobRepository = Depends(_get_repository),
sign_url=Depends(get_audio_url_signer),
) -> TTSJobResponse:
"""获取 TTS 任务详情。"""
user_id = authenticated_user.user.id
@@ -209,7 +203,7 @@ def get_tts_job(
job = use_case.execute(job_id, user_id)
except TTSJobNotFoundError:
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="TTS job not found")
return _to_response(job, sign_url)
return _to_response(job)
@router.get("/jobs/{job_id}/status", response_model=TTSStatusResponse)
@@ -217,7 +211,6 @@ def get_tts_job_status(
job_id: str,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
repository: SQLAlchemyTTSJobRepository = Depends(_get_repository),
sign_url=Depends(get_audio_url_signer),
) -> TTSStatusResponse:
"""查询 TTS 合成状态(用于前端轮询)。"""
user_id = authenticated_user.user.id
@@ -226,13 +219,10 @@ def get_tts_job_status(
job = use_case.execute(job_id, user_id)
except TTSJobNotFoundError:
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="TTS job not found")
output_url = job.output_audio_url
if output_url:
output_url = sign_url(output_url)
return TTSStatusResponse(
id=job.id,
status=job.status,
output_audio_url=output_url,
output_audio_url=job.output_audio_url,
error_message=job.error_message,
duration=job.duration,
retry_count=job.retry_count,
@@ -268,7 +258,6 @@ def save_tts_job_to_library(
tts_repository: SQLAlchemyTTSJobRepository = Depends(_get_repository),
voice_library_repository: SQLAlchemyVoiceLibraryRepository = Depends(get_voice_library_repository),
user_repository: UserRepository = Depends(get_user_repository),
sign_url=Depends(get_audio_url_signer),
) -> SaveToLibraryResponse:
"""将已完成的 TTS 合成结果保存到配音库。
@@ -339,7 +328,7 @@ def save_tts_job_to_library(
return SaveToLibraryResponse(
id=item.id,
name=item.name,
audio_url=sign_url(item.audio_url) if item.audio_url else "",
audio_url=item.audio_url,
duration=item.duration,
voice_id=item.voice_id,
voice_name=item.voice_name,
+21 -7
View File
@@ -1,5 +1,5 @@
import logging
from typing import Any
from typing import Annotated, Any
from uuid import uuid4
from app.auth import AuthenticatedUser, get_current_user
@@ -17,13 +17,12 @@ from app.schemas.upload import (
DirectUploadCompleteResponse,
DirectUploadPrepareRequest,
DirectUploadPrepareResponse,
UploadAssetRequest,
UploadAssetResponse,
)
from fastapi import APIRouter, Depends, File, Form, HTTPException, UploadFile, status
from packages.application import SubmitIngestJobCommand, SubmitIngestJobUseCase
from app.api.routes._helpers import require_project_and_library
from packages.application import GetProjectUseCase, SubmitIngestJobCommand, SubmitIngestJobUseCase
logger = logging.getLogger(__name__)
@@ -81,6 +80,21 @@ def _validate_mime_type(content_type: str | None) -> str:
return base_type
def _require_project_and_library(
project_id: str,
library_id: str,
project_repository: Any,
asset_library_repository: Any,
) -> None:
project = GetProjectUseCase(project_repository).execute(project_id)
if project is None:
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Project not found")
libraries = asset_library_repository.find_by_project(project_id)
if not any(item.id == library_id for item in libraries):
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Asset library not found")
def _submit_ingest_job(
project_id: str,
library_id: str,
@@ -121,7 +135,7 @@ async def prepare_direct_upload(
# P2-5: 服务端验证 MIME 类型
validated_content_type = _validate_mime_type(request.content_type)
require_project_and_library(
_require_project_and_library(
request.project_id,
request.library_id,
project_repository,
@@ -169,7 +183,7 @@ async def complete_direct_upload(
storage_service: OSSStorageService = Depends(get_storage_service),
) -> DirectUploadCompleteResponse:
"""确认浏览器直传完成并创建导入任务。"""
require_project_and_library(
_require_project_and_library(
request.project_id,
request.library_id,
project_repository,
@@ -238,7 +252,7 @@ async def upload_asset(
storage_service: OSSStorageService = Depends(get_storage_service),
) -> UploadAssetResponse:
"""上传素材文件并触发导入流水线。"""
require_project_and_library(project_id, library_id, project_repository, asset_library_repository)
_require_project_and_library(project_id, library_id, project_repository, asset_library_repository)
# ── 素材去重检测:上传前检查同素材库 + 同 file_hash ──
if file_hash:
+1 -1
View File
@@ -28,6 +28,7 @@ from packages.application.voice_clone.use_cases import (
VoiceCloneNotRetryableError,
)
from packages.application.voice_clone.workflow import (
VoiceCloneWorkflowError,
VoiceCloneWorkflowService,
)
@@ -37,7 +38,6 @@ router = APIRouter()
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
return VoiceCloneProfileResponse(
id=profile.id,
user_id=profile.user_id,
+18 -25
View File
@@ -8,7 +8,7 @@ from __future__ import annotations
from typing import Literal, Optional
from app.auth import AuthenticatedUser, get_current_user
from app.dependencies import get_audio_url_signer, get_db_session, get_user_repository
from app.dependencies import get_db_session, get_user_repository
from app.schemas.voice import (
PresetVoiceItemResponse,
PresetVoiceListResponse,
@@ -39,8 +39,6 @@ from packages.application.voice_library.use_cases import (
from packages.domain.preset_voices import PRESET_VOICES
from packages.ports.user_repository import UserRepository
from app.api.routes._helpers import get_user_plan
router = APIRouter()
@@ -52,10 +50,7 @@ def _get_clone_profile_repository(session: Session = Depends(get_db_session)) ->
return SQLAlchemyVoiceCloneProfileRepository(session)
def _to_response(item, sign_url=None) -> VoiceLibraryItemResponse:
audio = item.audio_url
if sign_url and audio:
audio = sign_url(audio)
def _to_response(item) -> VoiceLibraryItemResponse:
return VoiceLibraryItemResponse(
id=item.id,
user_id=item.user_id,
@@ -64,7 +59,7 @@ def _to_response(item, sign_url=None) -> VoiceLibraryItemResponse:
voice_provider=item.voice_provider,
voice_id=item.voice_id,
voice_name=item.voice_name,
audio_url=audio,
audio_url=item.audio_url,
duration=item.duration,
file_size=item.file_size,
status=item.status,
@@ -75,20 +70,16 @@ def _to_response(item, sign_url=None) -> VoiceLibraryItemResponse:
)
def _to_unified_response(item, profile_id_map: dict | None = None, sign_url=None) -> UnifiedVoiceItemResponse:
def _to_unified_response(item, profile_id_map: dict | None = None) -> UnifiedVoiceItemResponse:
"""将数据库音色转换为统一响应格式。
Args:
item: VoiceLibraryItem
profile_id_map: voice_id → profile_id 映射,用于填充 voice_clone_profile_id
sign_url: 音频URL预签名函数
"""
profile_id = None
if profile_id_map and item.voice_id:
profile_id = profile_id_map.get(item.voice_id)
audio = item.audio_url
if sign_url and audio:
audio = sign_url(audio)
return UnifiedVoiceItemResponse(
id=item.id,
type="clone",
@@ -98,7 +89,7 @@ def _to_unified_response(item, profile_id_map: dict | None = None, sign_url=None
language="zh-CN",
voice_id=item.voice_id,
voice_provider=item.voice_provider or "cosyvoice",
audio_url=audio,
audio_url=item.audio_url,
duration=item.duration,
file_size=item.file_size,
status=item.status,
@@ -127,6 +118,13 @@ def _preset_to_unified_response(preset) -> UnifiedVoiceItemResponse:
)
def _get_user_plan(user_id: str, user_repository: UserRepository) -> str:
user = user_repository.find_by_id(user_id)
if user is None:
return "free"
return getattr(user, "subscription_plan", "free") or "free"
# ==================== 统一配音列表(预置 + 克隆)====================
@@ -142,7 +140,6 @@ def list_voices_unified(
authenticated_user: AuthenticatedUser = Depends(get_current_user),
voice_repository: SQLAlchemyVoiceLibraryRepository = Depends(_get_voice_repository),
clone_profile_repository: SQLAlchemyVoiceCloneProfileRepository = Depends(_get_clone_profile_repository),
sign_url=Depends(get_audio_url_signer),
) -> UnifiedVoiceListResponse:
"""获取配音列表(预置音色 + 用户克隆音色)。
@@ -170,7 +167,7 @@ def list_voices_unified(
# 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]
clone_items = [_to_unified_response(i, profile_id_map) for i in clone_items_raw]
# 组装结果
if type == "preset":
@@ -227,7 +224,6 @@ def list_voices_legacy(
limit: int = Query(50, ge=1, le=200),
authenticated_user: AuthenticatedUser = Depends(get_current_user),
voice_repository: SQLAlchemyVoiceLibraryRepository = Depends(_get_voice_repository),
sign_url=Depends(get_audio_url_signer),
) -> ListVoiceLibraryResponse:
"""原有配音列表接口(仅返回用户克隆音色)。
@@ -237,7 +233,7 @@ def list_voices_legacy(
use_case = ListVoiceLibraryUseCase(voice_repository)
items, total = use_case.execute(user_id, status=status_filter, skip=skip, limit=limit)
return ListVoiceLibraryResponse(
items=[_to_response(i, sign_url) for i in items],
items=[_to_response(i) for i in items],
total=total,
)
@@ -247,14 +243,13 @@ def get_voice(
voice_id: str,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
voice_repository: SQLAlchemyVoiceLibraryRepository = Depends(_get_voice_repository),
sign_url=Depends(get_audio_url_signer),
) -> VoiceLibraryItemResponse:
user_id = authenticated_user.user.id
use_case = GetVoiceLibraryUseCase(voice_repository)
item = use_case.execute(voice_id, user_id)
if item is None:
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Voice not found")
return _to_response(item, sign_url)
return _to_response(item)
@router.post("", response_model=VoiceLibraryItemResponse, status_code=status.HTTP_201_CREATED)
@@ -263,10 +258,9 @@ def create_voice(
authenticated_user: AuthenticatedUser = Depends(get_current_user),
voice_repository: SQLAlchemyVoiceLibraryRepository = Depends(_get_voice_repository),
user_repository: UserRepository = Depends(get_user_repository),
sign_url=Depends(get_audio_url_signer),
) -> VoiceLibraryItemResponse:
user_id = authenticated_user.user.id
plan_name = get_user_plan(user_id, user_repository)
plan_name = _get_user_plan(user_id, user_repository)
command = CreateVoiceLibraryCommand(
user_id=user_id,
name=request.name,
@@ -289,7 +283,7 @@ def create_voice(
status_code=status.HTTP_429_TOO_MANY_REQUESTS,
detail=f"配音库配额已满({exc.used}/{exc.limit}),请升级套餐",
)
return _to_response(item, sign_url)
return _to_response(item)
@router.put("/{voice_id}", response_model=VoiceLibraryItemResponse)
@@ -298,7 +292,6 @@ def update_voice(
request: UpdateVoiceLibraryRequest,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
voice_repository: SQLAlchemyVoiceLibraryRepository = Depends(_get_voice_repository),
sign_url=Depends(get_audio_url_signer),
) -> VoiceLibraryItemResponse:
user_id = authenticated_user.user.id
command = UpdateVoiceLibraryCommand(
@@ -320,7 +313,7 @@ def update_voice(
item = use_case.execute(command)
except NotFoundError:
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Voice not found")
return _to_response(item, sign_url)
return _to_response(item)
@router.delete("/{voice_id}", status_code=status.HTTP_204_NO_CONTENT, response_model=None)
+1 -30
View File
@@ -25,7 +25,7 @@ class Settings(BaseSettings):
DATABASE_POOL_SIZE: int = 20
DATABASE_MAX_OVERFLOW: int = 10 # 调整为合理值:pool_size(20) + max_overflow(10) = 最大30连接
DATABASE_POOL_TIMEOUT: int = 30
DATABASE_POOL_RECYCLE: int = 3600
DATABASE_POOL_RECYLE: int = 3600
USE_IN_MEMORY_DB: bool = False
AUTO_CREATE_SCHEMA: bool = False
@@ -41,11 +41,6 @@ class Settings(BaseSettings):
# 密钥轮换天数(到达此天数后建议更换密钥)
SECRET_ROTATION_DAYS: int = 90
# JWT 算法与过期时间(与 .env.example 对齐)
JWT_ALGORITHM: str = "HS256"
JWT_ACCESS_TOKEN_EXPIRE_MINUTES: int = 30
JWT_REFRESH_TOKEN_EXPIRE_DAYS: int = 30
@field_validator("JWT_SECRET_KEY", mode="before")
@classmethod
def validate_jwt_secret_key(cls, v):
@@ -84,27 +79,6 @@ class Settings(BaseSettings):
OSS_ACCESS_KEY_ID: str = ""
OSS_ACCESS_KEY_SECRET: str = ""
OSS_BUCKET_NAME: str = "xiaoxia-autocut"
@field_validator("OSS_ACCESS_KEY_ID", mode="before")
@classmethod
def validate_oss_access_key_id(cls, v):
if (v is None or v == "") and os.getenv("APP_ENV", "development") != "development":
raise ValueError(
"OSS_ACCESS_KEY_ID must be set via environment variable in non-development environments. "
"Check the server .env file (e.g. /var/lib/xiaoxia-saas-staging/.env)."
)
return v or ""
@field_validator("OSS_ACCESS_KEY_SECRET", mode="before")
@classmethod
def validate_oss_access_key_secret(cls, v):
if (v is None or v == "") and os.getenv("APP_ENV", "development") != "development":
raise ValueError(
"OSS_ACCESS_KEY_SECRET must be set via environment variable in non-development environments. "
"Check the server .env file (e.g. /var/lib/xiaoxia-saas-staging/.env)."
)
return v or ""
OSS_DIRECT_UPLOAD_MAX_MB: int = Field(
default=2000,
validation_alias=AliasChoices("OSS_DIRECT_UPLOAD_MAX_MB", "MAX_UPLOAD_SIZE_MB"),
@@ -114,9 +88,6 @@ class Settings(BaseSettings):
LOG_LEVEL: str = "INFO"
CORS_ORIGINS_RAW: str = "http://localhost:3000,http://localhost:5173,http://localhost:8000"
# 渲染引擎选择:legacy=旧VideoComposeServiceunified=新UnifiedRenderService
RENDER_ENGINE: str = "legacy"
model_config = SettingsConfigDict(
env_file=".env",
env_file_encoding="utf-8",
+1
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@@ -0,0 +1 @@
"""Core configuration package."""
+2 -42
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@@ -34,18 +34,13 @@ class OSSStorageService:
if has_key_id and has_key_secret:
if oss2 is not None:
try:
# P0-2 修复:oss2.Bucket 的 endpoint 必须带 https:// 前缀,
# 否则 sign_url 默认生成 HTTP URL。
bucket_endpoint = settings.OSS_ENDPOINT
if not bucket_endpoint.startswith(("http://", "https://")):
bucket_endpoint = f"https://{bucket_endpoint}"
auth = oss2.Auth(
settings.OSS_ACCESS_KEY_ID,
settings.OSS_ACCESS_KEY_SECRET,
)
self.bucket = oss2.Bucket(
auth,
bucket_endpoint,
settings.OSS_ENDPOINT,
settings.OSS_BUCKET_NAME,
)
logger.info(
@@ -69,26 +64,6 @@ class OSSStorageService:
self.access_key_secret = settings.OSS_ACCESS_KEY_SECRET
self.endpoint = settings.OSS_ENDPOINT
def diagnose(self) -> None:
"""启动诊断:输出 OSS 配置状态,帮助排查预签名 URL 问题。"""
key_id_display = (
f"{self.access_key_id[:4]}...{self.access_key_id[-4:]}" if len(self.access_key_id) > 8 else "(empty)"
)
logger.info(
"[OSS诊断] endpoint=%s bucket_name=%s access_key_id=%s",
self.endpoint,
self.bucket_name,
key_id_display,
)
if self.bucket is None:
logger.error(
"[OSS诊断] ❌ bucket=None — 预签名URL不可用!"
"原因: OSS_ACCESS_KEY_ID/OSS_ACCESS_KEY_SECRET 未配置或 oss2 未安装。"
"请检查服务器 .env 文件(如 /var/lib/xiaoxia-saas-staging/.env"
)
else:
logger.info("[OSS诊断] ✅ bucket 已配置,预签名URL可用")
def _is_local_generated_url(self, storage_key_or_url: str) -> bool:
parsed = urlparse(storage_key_or_url)
path = parsed.path if parsed.scheme else storage_key_or_url
@@ -191,26 +166,12 @@ class OSSStorageService:
if self.bucket is None:
if self._is_local_generated_url(storage_key_or_url):
return storage_key_or_url
logger.warning(
"get_download_url: OSS bucket not configured, returning raw URL. " "storage_key_or_url=%s",
storage_key_or_url[:200],
)
return self.get_url(self._normalize_storage_key(storage_key_or_url))
storage_key = self._normalize_storage_key(storage_key_or_url)
try:
signed = self.bucket.sign_url("GET", storage_key, expires_seconds)
logger.info(
"get_download_url: signed URL generated. storage_key=%s url_prefix=%s",
storage_key[:80],
signed[:60],
)
return signed
return self.bucket.sign_url("GET", storage_key, expires_seconds)
except Exception:
logger.exception(
"get_download_url: sign_url failed, falling back to raw URL. " "storage_key=%s",
storage_key[:200],
)
return self.get_url(storage_key)
def _normalize_storage_key(self, storage_key_or_url: str) -> str:
@@ -279,5 +240,4 @@ def get_storage_service() -> OSSStorageService:
global _storage_service
if _storage_service is None:
_storage_service = OSSStorageService()
_storage_service.diagnose()
return _storage_service
-221
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@@ -1,221 +0,0 @@
import logging
from typing import Any
from app.core.celery_app import celery_app
logger = logging.getLogger(__name__)
# ── 限流阈值常量(全系统统一管理,不要在业务代码里硬编码) ──
USER_PENDING_LIMIT = 3 # 单用户 pending 上限
GLOBAL_PENDING_LIMIT = 20 # 全局 pending 上限
class UserPendingLimitExceeded(Exception):
"""用户 pending 任务数超限,返回 429。"""
def __init__(self, user_id: str, pending_count: int, limit: int):
self.user_id = user_id
self.pending_count = pending_count
self.limit = limit
super().__init__(f"用户 {user_id} pending 任务数 {pending_count} 超过上限 {limit}")
class GlobalQueueFull(Exception):
"""全局限流,返回 503。"""
def __init__(self, pending_count: int, limit: int):
self.pending_count = pending_count
self.limit = limit
super().__init__(f"系统 pending 任务数 {pending_count} 超过上限 {limit}")
def check_queue_limits(
user_id: str,
generation_task_repository: Any,
*,
user_pending_limit: int = USER_PENDING_LIMIT,
global_pending_limit: int = GLOBAL_PENDING_LIMIT,
) -> None:
"""检查队列限流(预检查用,任务创建前调用),超限抛对应异常。
边界语义:>= 上限即拒绝(达到上限就不能再加新任务)。
Args:
user_id: 用户 ID
generation_task_repository: 任务仓储
user_pending_limit: 单用户 pending 上限,默认 USER_PENDING_LIMIT
global_pending_limit: 全局 pending 上限,默认 GLOBAL_PENDING_LIMIT
Raises:
GlobalQueueFull: 全局超限时抛出(优先级更高,先查全局)
UserPendingLimitExceeded: 用户超限时抛出
"""
# 先查全局(系统级保护优先级更高)
global_pending = generation_task_repository.count_pending_total()
if global_pending >= global_pending_limit:
logger.warning(
"[队列限流] 全局 pending 任务数超限: %d/%d, user_id=%s",
global_pending,
global_pending_limit,
user_id,
)
raise GlobalQueueFull(pending_count=global_pending, limit=global_pending_limit)
# 再查用户级
if user_id:
user_pending = generation_task_repository.count_pending_by_user(user_id)
if user_pending >= user_pending_limit:
logger.warning(
"[队列限流] 用户 pending 任务数超限: user_id=%s, count=%d/%d",
user_id,
user_pending,
user_pending_limit,
)
raise UserPendingLimitExceeded(user_id=user_id, pending_count=user_pending, limit=user_pending_limit)
def _mark_task_failed_safely(
task: Any,
generation_task_repository: Any,
log_prefix: str,
reason: str,
) -> None:
"""安全地把任务标记为 failed,更新失败只打日志不崩溃。"""
try:
task.mark_failed(f"任务被限流拒绝: {reason}")
generation_task_repository.update(task)
except Exception as update_err:
logger.error(
"%s 限流后更新状态也失败: task_id=%s error=%s",
log_prefix,
task.id,
update_err,
exc_info=True,
)
def safe_enqueue_generation_task(
task: Any,
generation_task_repository: Any,
*,
user_id: str = "",
log_prefix: str = "[任务队列]",
log_task_status: bool = False,
user_pending_limit: int = USER_PENDING_LIMIT,
global_pending_limit: int = GLOBAL_PENDING_LIMIT,
) -> bool:
"""安全入队:入队前限流检查 → 发送 Celery 任务 → 入队后最终校验兜底。
边界说明:
入队前检查用 > 而非 >=。因为调用此函数时 task 已经是 pending 状态并计入 DB,
pending 总数包含了当前任务本身。pending > limit 等价于"其他任务数 >= limit"
与预检查的 >= 语义一致(都是达到上限就拒绝新任务)。
入队后最终校验:发送 Celery 成功后再查一次 DB 计数,处理并发竞态场景
(两个请求同时通过入队前检查,后到的那个在这里被兜住)。
Args:
task: 生成任务对象,需有 id 属性和 mark_failed 方法(状态已为 pending
generation_task_repository: 任务仓储,用于更新状态
user_id: 用户 ID,传了才做用户级限流检查
log_prefix: 日志前缀,便于区分调用来源
log_task_status: 成功日志中是否额外打印任务状态
user_pending_limit: 单用户 pending 上限,默认 USER_PENDING_LIMIT
global_pending_limit: 全局 pending 上限,默认 GLOBAL_PENDING_LIMIT
Returns:
True 表示入队成功,False 表示入队失败(已标记为 failed)
Raises:
GlobalQueueFull: 全局 pending 超限时抛出,任务会被标记为 failed
UserPendingLimitExceeded: 用户 pending 超限时抛出,任务会被标记为 failed
"""
# ── 入队前检查:任务已是 pending,用 > 判断(包含当前任务) ──
# 全局限流检查(始终生效)
global_pending = generation_task_repository.count_pending_total()
if global_pending > global_pending_limit:
logger.warning(
"[队列限流] 全局 pending 任务数超限(入队前): %d/%d, user_id=%s",
global_pending,
global_pending_limit,
user_id or "unknown",
)
exc = GlobalQueueFull(pending_count=global_pending, limit=global_pending_limit)
_mark_task_failed_safely(task, generation_task_repository, log_prefix, str(exc))
raise exc
# 用户级限流检查(传了 user_id 才做)
if user_id:
user_pending = generation_task_repository.count_pending_by_user(user_id)
if user_pending > user_pending_limit:
logger.warning(
"[队列限流] 用户 pending 任务数超限(入队前): user_id=%s, count=%d/%d",
user_id,
user_pending,
user_pending_limit,
)
exc = UserPendingLimitExceeded(user_id=user_id, pending_count=user_pending, limit=user_pending_limit)
_mark_task_failed_safely(task, generation_task_repository, log_prefix, str(exc))
raise exc
# ── 发送 Celery 任务 ──
try:
celery_app.send_task("worker.generate_video", args=[task.id])
except Exception as e:
logger.error(
"%s 入队失败,标记为失败: task_id=%s error=%s",
log_prefix,
task.id,
e,
exc_info=True,
)
try:
task.mark_failed(f"任务入队失败: {e}")
generation_task_repository.update(task)
except Exception as update_err:
logger.error(
"%s 入队失败后更新状态也失败: task_id=%s error=%s",
log_prefix,
task.id,
update_err,
exc_info=True,
)
return False
# ── 入队后最终校验:并发竞态兜底 ──
# 发送成功后再查一次,防止两个请求同时通过入队前检查导致超限
global_after = generation_task_repository.count_pending_total()
user_after = generation_task_repository.count_pending_by_user(user_id) if user_id else 0
global_over = global_after > global_pending_limit
user_over = bool(user_id and user_after > user_pending_limit)
if global_over or user_over:
if global_over:
reason = f"全局 pending 超限(入队后): {global_after}/{global_pending_limit}"
exc: Exception = GlobalQueueFull(pending_count=global_after, limit=global_pending_limit)
else:
reason = f"用户 pending 超限(入队后): {user_after}/{user_pending_limit}"
exc = UserPendingLimitExceeded(user_id=user_id, pending_count=user_after, limit=user_pending_limit)
logger.warning(
"[队列限流] %s, task_id=%s, user_id=%s — 回滚状态为 failed",
reason,
task.id,
user_id or "unknown",
)
_mark_task_failed_safely(task, generation_task_repository, log_prefix, reason)
raise exc
# 入队成功日志
if log_task_status:
logger.info(
"%s 入队成功: task_id=%s, status=%s",
log_prefix,
task.id,
task.status,
)
else:
logger.info("%s 入队成功: task_id=%s", log_prefix, task.id)
return True
Regular → Executable
+14 -32
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@@ -50,8 +50,20 @@ from packages.adapters.sqlalchemy_impl.voice_clone_profile_repository import (
from packages.adapters.sqlalchemy_impl.voice_library_repository import (
SQLAlchemyVoiceLibraryRepository,
)
from packages.ports.asset_library_repository import AssetLibraryRepository
from packages.ports.asset_repository import AssetRepository
from packages.ports.classification_job_repository import ClassificationJobRepository
from packages.ports.duplication_repository import DuplicationRecordRepository
from packages.ports.generated_video_repository import GeneratedVideoRepository
from packages.ports.generation_task_repository import GenerationTaskRepository
from packages.ports.ingest_job_repository import IngestJobRepository
from packages.ports.job_repository import JobRepository
from packages.ports.project_repository import ProjectRepository
from packages.ports.tag_repository import TagRepository
from packages.ports.title_library_repository import TitleLibraryRepository
from packages.ports.user_repository import UserRepository
from packages.ports.voice_clone_profile_repository import VoiceCloneProfileRepository
from packages.ports.voice_library_repository import VoiceLibraryRepository
_engine, _SessionLocal = build_session_factory(settings.DATABASE_URL)
@@ -189,37 +201,7 @@ def get_voice_clone_profile_repository(
def get_cosyvoice_service():
"""Provide the CosyVoice service instance.
注入 OSS 音频URL预签名函数,确保私有bucket下的参考音频
能被 CosyVoice 服务器下载。
"""
from app.core.storage import get_storage_service
"""Provide the CosyVoice service instance."""
from packages.application.cosyvoice_service import CosyVoiceService
storage = get_storage_service()
def _sign_audio_url(url: str) -> str:
"""对音频URL做预签名,私有bucket下 CosyVoice 服务器才能下载."""
return storage.get_download_url(url, expires_seconds=86400)
return CosyVoiceService(audio_url_signer=_sign_audio_url)
def get_audio_url_signer():
"""提供音频URL预签名函数(24小时有效期)。
用于所有 API 返回给前端的音频 URL,确保私有 OSS bucket 下可正常访问。
空 URL、非 OSS URL 直接原样返回;签名失败时回退到原始 URL。
"""
from app.core.storage import get_storage_service
storage = get_storage_service()
def sign_audio_url(url: str) -> str:
if not url:
return url
return storage.get_download_url(url, expires_seconds=86400)
return sign_audio_url
return CosyVoiceService()
+1 -1
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@@ -10,7 +10,7 @@ from __future__ import annotations
from app.auth import AuthenticatedUser
from app.auth import get_current_user as get_authenticated_user
from app.dependencies import get_user_repository
from fastapi import Depends, HTTPException
from fastapi import Depends
from fastapi.security import HTTPAuthorizationCredentials, HTTPBearer
from packages.domain.entities import User
+1 -1
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@@ -6,7 +6,7 @@ import logging
import time
from typing import Callable
from fastapi import Request
from fastapi import Request, Response
from starlette.middleware.base import BaseHTTPMiddleware
logger = logging.getLogger(__name__)
+1 -18
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@@ -1,6 +1,4 @@
import json
from pydantic import BaseModel, Field, field_validator, model_validator
from pydantic import BaseModel, Field, model_validator
class CreateGenerationTaskRequest(BaseModel):
@@ -64,21 +62,6 @@ class GenerationTaskResponse(BaseModel):
progress: float
result_count: int
error_message: str
logs: list[dict] = Field(default_factory=list)
@field_validator("logs", mode="before")
@classmethod
def _parse_logs(cls, v: object) -> list[dict]:
"""将 JSON 字符串解析为 list[dict]。"""
if isinstance(v, str):
try:
parsed = json.loads(v)
return parsed if isinstance(parsed, list) else []
except (json.JSONDecodeError, TypeError):
return []
if isinstance(v, list):
return v
return []
class BatchGenerationTaskResponse(BaseModel):
+1 -1
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@@ -2,7 +2,7 @@
from __future__ import annotations
from typing import Optional
from typing import List, Optional
from pydantic import BaseModel, Field
-2
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@@ -4,7 +4,6 @@ from .auto_clip_service import AutoClipService
from .edit_plan_service import EditPlanService
from .edit_template_service import EditTemplateService
from .job_service import JobService
from .plan_generator_service import PlanGeneratorService
from .video_compose_service import VideoComposeService
__all__ = [
@@ -12,6 +11,5 @@ __all__ = [
"EditPlanService",
"EditTemplateService",
"JobService",
"PlanGeneratorService",
"VideoComposeService",
]
+1 -1
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@@ -24,7 +24,7 @@ from packages.adapters.sqlalchemy_impl import (
)
from packages.domain.asset import AssetType
from packages.domain.classification import AssetClassification
from packages.domain.edit_plan_clip import EditPlanClip
from packages.domain.edit_plan_clip import EditPlanClip, EditPlanClipStatus
logger = logging.getLogger(__name__)
@@ -18,6 +18,7 @@ from packages.adapters.sqlalchemy_impl import (
)
from packages.domain.edit_plan import EditPlan, EditPlanStatus
from packages.domain.edit_plan_clip import EditPlanClip, EditPlanClipStatus
from packages.domain.generation_task import GenerationTaskStatus
logger = logging.getLogger(__name__)
@@ -100,7 +100,6 @@ class EditTemplateService:
*,
description: str = "",
template_type: str = "default",
editing_mode: str = "one_take",
config: Optional[dict[str, Any]] = None,
preview_url: str = "",
sort_weight: int = 0,
@@ -125,7 +124,6 @@ class EditTemplateService:
name=clean_name,
description=description,
template_type=template_type,
editing_mode=editing_mode,
config=config,
preview_url=preview_url,
sort_weight=sort_weight,
@@ -141,7 +139,6 @@ class EditTemplateService:
name: Optional[str] = None,
description: Optional[str] = None,
template_type: Optional[str] = None,
editing_mode: Optional[str] = None,
config: Optional[dict[str, Any]] = None,
preview_url: Optional[str] = None,
sort_weight: Optional[int] = None,
@@ -168,7 +165,6 @@ class EditTemplateService:
name=new_name,
description=description.strip() if description is not None else existing.description,
template_type=template_type.strip() if template_type is not None else existing.template_type,
editing_mode=editing_mode.strip() if editing_mode is not None else existing.editing_mode,
config=config if config is not None else existing.config,
preview_url=preview_url.strip() if preview_url is not None else existing.preview_url,
sort_weight=sort_weight if sort_weight is not None else existing.sort_weight,
+1
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@@ -13,6 +13,7 @@ from __future__ import annotations
import logging
from typing import Any
from sqlalchemy.orm import Session
from packages.application.jobs import (
CancelJobUseCase,
@@ -1,391 +0,0 @@
"""PlanGeneratorService — 基于模板+素材自动生成剪辑计划.
核心职责:
- 根据 EditTemplate 的 editing_mode 和 TemplateClipConfig 列表,
自动生成 EditPlan + EditPlanClip 列表
- 四种模式素材分配策略:
- ONE_TAKE: 素材顺序分配给 main 类型 clips
- PIP: 第1个素材→main(全屏背景),其余→overlay clips
- VOICE_OVER: 素材→main clips (B-roll),标记需要配音叠加
- VOICE_PIP: 第1个→background, 第2个→corner_voice, 其余→b_roll
"""
from __future__ import annotations
import logging
from typing import Any, List
from sqlalchemy.orm import Session
from packages.adapters.sqlalchemy_impl import (
SQLAlchemyEditPlanClipRepository,
SQLAlchemyEditPlanRepository,
)
from packages.domain.config_schemas import normalize_plan_config
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.template_clip_config import ClipType, TemplateClipConfig
logger = logging.getLogger(__name__)
# ── 默认片段时长(秒) ────────────────────────────────────────────────────────
_DEFAULT_CLIP_DURATION = 5.0
_DEFAULT_INTRO_DURATION = 3.0
_DEFAULT_OUTRO_DURATION = 3.0
class PlanGeneratorService:
"""剪辑计划生成器
基于模板 + 素材,自动生成 EditPlan 及 EditPlanClip 列表。
"""
def __init__(self, db: Session) -> None:
self._plan_repo = SQLAlchemyEditPlanRepository(db)
self._clip_repo = SQLAlchemyEditPlanClipRepository(db)
# ── 公开接口 ─────────────────────────────────────────────────────────────
def generate_from_template(
self,
template: EditTemplate,
clip_configs: List[TemplateClipConfig],
asset_ids: List[str],
*,
project_id: str = "",
created_by_user_id: str = "",
name: str = "",
) -> dict[str, Any]:
"""基于模板+素材生成剪辑计划
Args:
template: 剪辑模板实体
clip_configs: 模板片段配置列表(可为空,自动生成默认结构)
asset_ids: 素材 ID 列表
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)
Returns:
dict: {"plan": EditPlan, "clips": List[EditPlanClip]}
"""
editing_mode = template.editing_mode or EditingMode.ONE_TAKE.value
plan_name = name.strip() or f"{template.name} - 剪辑计划"
# 1. 构建 plan config(继承模板的 title/subtitle/bgm,记录 editing_mode
plan_config = self._build_plan_config(template, editing_mode)
# 2. 创建 EditPlan
plan = EditPlan.create(
template_id=template.id,
name=plan_name,
config=plan_config,
total_duration=0.0,
project_id=project_id,
created_by_user_id=created_by_user_id,
)
plan = self._plan_repo.create(plan)
logger.info(
"生成剪辑计划: plan_id=%s template=%s mode=%s assets=%d",
plan.id,
template.id,
editing_mode,
len(asset_ids),
)
# 3. 生成片段列表
if clip_configs:
clips = self._create_clips_from_configs(plan.id, clip_configs)
else:
clips = self._generate_default_clips(plan.id, editing_mode, len(asset_ids))
# 4. 按 editing_mode 分配素材
if asset_ids:
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] = []
total_duration = 0.0
for clip in clips:
saved = self._clip_repo.create(clip)
created_clips.append(saved)
total_duration += saved.duration
# 6. 更新 plan 的 total_duration
plan.total_duration = total_duration
plan = self._plan_repo.update(plan)
# 7. 流转到 editing 状态
try:
plan.start_editing()
plan = self._plan_repo.update(plan)
except ValueError as exc:
logger.warning("计划状态流转失败: plan_id=%s error=%s", plan.id, exc)
logger.info(
"剪辑计划生成完成: plan_id=%s clips=%d duration=%.1f",
plan.id,
len(created_clips),
total_duration,
)
return {"plan": plan, "clips": created_clips}
# ── 内部方法 ─────────────────────────────────────────────────────────────
def _build_plan_config(
self,
template: EditTemplate,
editing_mode: str,
) -> dict[str, Any]:
"""从模板配置构建 plan config"""
template_config = template.config or {}
plan_config: dict[str, Any] = {
"editing_mode": editing_mode,
}
# 继承模板的 cover/title/subtitle/bgm 配置
for key in ("cover", "title", "subtitle", "bgm"):
if key in template_config:
plan_config[key] = template_config[key]
return normalize_plan_config(plan_config)
def _create_clips_from_configs(
self,
plan_id: str,
clip_configs: List[TemplateClipConfig],
) -> List[EditPlanClip]:
"""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)
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
)
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",
)
clips.append(clip)
return clips
def _generate_default_clips(
self,
plan_id: str,
editing_mode: str,
asset_count: int,
) -> List[EditPlanClip]:
"""无 clip_configs 时,根据 editing_mode 生成默认 clip 结构
- 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
"""
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 i 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 i 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 i 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 i 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,
) -> None:
"""按 editing_mode 将素材分配到 clips(就地修改,未持久化)
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
"""
if not asset_ids or not clips:
return
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)
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])
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])
@@ -16,6 +16,7 @@ FFmpeg 视频合成编排服务:
from __future__ import annotations
import logging
import shutil
from dataclasses import dataclass, field
from typing import Any
@@ -27,7 +28,7 @@ from packages.adapters.sqlalchemy_impl.edit_plan_clip_repository import (
from packages.adapters.sqlalchemy_impl.edit_plan_repository import (
SQLAlchemyEditPlanRepository,
)
from packages.domain.edit_plan import EditPlanStatus
from packages.domain.edit_plan import EditPlan, EditPlanStatus
from packages.domain.edit_plan_clip import EditPlanClip, EditPlanClipStatus
from packages.domain.template_clip_config import TransitionEffect
+42
View File
@@ -0,0 +1,42 @@
/**
* 仪表盘 API
* Phase 1 新增:用户仪表盘概览
*/
import apiClient from "./client";
/** 仪表盘概览数据 */
export interface DashboardOverview {
/** 素材总数 */
total_assets: number;
/** 已用存储(字节) */
used_storage_bytes: number;
/** 总标题数 */
total_titles: number;
/** 总配音数 */
total_voices: number;
/** 生成任务总数 */
total_tasks: number;
/** 成品总数 */
total_products: number;
/** 最近生成任务 */
recent_tasks: Array<{
id: string;
task_type: string;
status: string;
progress: number;
user_message: string;
created_at: string;
}>;
/** 订阅信息 */
subscription: {
plan: "free" | "pro" | "enterprise";
status: "active" | "inactive" | "expired";
expires_at?: string;
};
}
/** 获取仪表盘概览数据 */
export const getDashboardOverview = async (): Promise<DashboardOverview> => {
const response = await apiClient.get("/dashboard/overview");
return response.data;
};
@@ -0,0 +1,365 @@
/* V21 业务组件统一样式 */
/* ==================== 按钮 ==================== */
.xx-primary-btn {
background: var(--gradient-primary) !important;
color: var(--text-inverse) !important;
border: none !important;
border-radius: var(--radius-md) !important;
padding: 10px 20px !important;
font-weight: var(--font-weight-bold) !important;
box-shadow: var(--shadow-primary) !important;
transition: var(--transition-all) !important;
cursor: pointer;
height: auto !important;
}
.xx-primary-btn:hover {
box-shadow: var(--shadow-hover) !important;
transform: translateY(-1px);
}
.xx-ghost-btn {
background: transparent !important;
color: var(--primary-color) !important;
border: 2px solid var(--primary-color) !important;
border-radius: var(--radius-md) !important;
padding: var(--space-sm) 18px !important;
font-weight: var(--font-weight-bold) !important;
transition: var(--transition-all) !important;
cursor: pointer;
height: auto !important;
}
.xx-ghost-btn:hover {
background: var(--primary-soft) !important;
}
/* ==================== 卡片 ==================== */
.xx-card {
background: var(--bg-elevated);
border: 1px solid var(--border-color);
border-radius: var(--radius-xl);
box-shadow: var(--shadow-card);
padding: var(--space-lg);
margin-bottom: 20px;
transition: all var(--transition-slow);
}
.xx-card:hover {
box-shadow: var(--shadow-md);
transform: translateY(-2px);
}
/* ==================== 页面结构 ==================== */
.xx-page {
max-width: 1200px;
margin: 0 auto;
padding: var(--space-lg);
}
.xx-page-head {
display: flex;
justify-content: space-between;
align-items: flex-start;
gap: 18px;
margin-bottom: 28px;
}
.xx-page-head h2 {
font-size: 26px;
font-weight: var(--font-weight-extrabold);
color: var(--text-primary);
margin: 0 0 var(--space-sm);
}
.xx-page-head p {
font-size: var(--font-size-base);
color: var(--text-secondary);
margin: 0;
}
/* ==================== 表格样式 ==================== */
.xx-table-card {
background: var(--bg-elevated);
border: 1px solid var(--border-color);
border-radius: var(--radius-xl);
box-shadow: var(--shadow-card);
padding: 20px;
overflow: hidden;
}
/* 表格包装器 */
.xx-table-wrapper {
border-radius: var(--radius-lg);
overflow: hidden;
}
/* ==================== 标签/Tag ==================== */
.xx-tag {
padding: var(--space-xs) 12px;
border-radius: var(--radius-xs);
font-size: 13px;
font-weight: var(--font-weight-medium);
}
.xx-tag-indigo {
background: var(--primary-soft);
color: var(--primary-color);
border: 1px solid var(--color-primary-200);
}
.xx-tag-success {
background: var(--success-soft);
color: var(--color-secondary-500);
border: 1px solid var(--success-border);
}
.xx-tag-warning {
background: var(--warning-soft);
color: var(--accent-dark);
border: 1px solid var(--color-accent-200);
}
.xx-tag-error {
background: var(--error-soft);
color: var(--error-color);
border: 1px solid var(--error-border);
}
/* ==================== 搜索栏 ==================== */
.xx-search-bar {
margin-bottom: 20px;
}
.xx-search-input {
width: 100%;
padding: 12px 18px;
border: 2px solid var(--border-color);
border-radius: var(--radius-md);
font-size: var(--font-size-base);
background: var(--bg-primary);
transition: var(--transition-all);
outline: none;
}
.xx-search-input:focus {
border-color: var(--primary-color);
box-shadow: 0 0 0 4px
color-mix(in srgb, var(--primary-color) 10%, transparent);
}
/* ==================== Modal ==================== */
.xx-modal .ant-modal-content {
border-radius: var(--radius-xl);
padding: var(--space-lg);
}
.xx-modal .ant-modal-header {
border-radius: var(--radius-xl) var(--radius-xl) 0 0;
padding: 20px var(--space-lg);
border-bottom: 1px solid var(--border-color);
}
.xx-modal .ant-modal-title {
font-size: var(--font-size-lg);
font-weight: var(--font-weight-bold);
color: var(--text-primary);
}
.xx-modal .ant-modal-footer {
border-top: 1px solid var(--border-color);
padding: var(--space-md) var(--space-lg);
}
/* ==================== 空状态 ==================== */
.xx-empty-state {
text-align: center;
padding: var(--space-3xl) var(--space-lg);
color: var(--text-secondary);
}
.xx-empty-state-icon {
font-size: 48px;
margin-bottom: var(--space-md);
}
/* ==================== 网格布局 ==================== */
.xx-grid-2 {
display: grid;
grid-template-columns: repeat(2, 1fr);
gap: 20px;
}
.xx-grid-3 {
display: grid;
grid-template-columns: repeat(3, 1fr);
gap: 20px;
}
.xx-grid-4 {
display: grid;
grid-template-columns: repeat(4, 1fr);
gap: 20px;
}
@media (max-width: 768px) {
.xx-grid-2,
.xx-grid-3,
.xx-grid-4 {
grid-template-columns: 1fr;
}
}
/* ==================== 配额展示 ==================== */
.xx-quota-item {
padding: 20px;
background: var(--bg-primary);
border: 1px solid var(--border-color);
border-radius: var(--radius-lg);
transition: var(--transition-all);
}
.xx-quota-item:hover {
border-color: var(--primary-color);
box-shadow: 0 8px 24px
color-mix(in srgb, var(--primary-color) 10%, transparent);
}
/* ==================== 进度条 ==================== */
.xx-progress {
margin-top: 12px;
}
/* ==================== Ant Design 覆盖样式 ==================== */
/* Table overrides */
.ant-table-wrapper .ant-table-thead > tr > th {
background: var(--bg-secondary) !important;
font-weight: var(--font-weight-bold) !important;
color: var(--text-primary) !important;
border-bottom: 2px solid var(--border-color) !important;
padding: 14px var(--space-md) !important;
}
.ant-table-wrapper .ant-table-tbody > tr > td {
padding: 14px var(--space-md) !important;
border-bottom: 1px solid var(--color-gray-100) !important;
}
.ant-table-wrapper .ant-table-tbody > tr:hover > td {
background: var(--color-gray-50) !important;
}
/* Card overrides */
.ant-card {
border-radius: var(--radius-xl) !important;
border: 1px solid var(--border-color) !important;
}
.ant-card-head {
border-bottom: 1px solid var(--border-color) !important;
min-height: 52px !important;
padding: 0 var(--space-lg) !important;
}
.ant-card-head-title {
font-weight: var(--font-weight-bold) !important;
font-size: var(--font-size-md) !important;
color: var(--text-primary) !important;
}
.ant-card-body {
padding: 20px var(--space-lg) !important;
}
/* Modal overrides */
.ant-modal-content {
border-radius: var(--radius-xl) !important;
overflow: hidden;
}
.ant-modal-header {
padding: 20px var(--space-lg) !important;
background: var(--bg-primary) !important;
}
.ant-modal-title {
font-weight: var(--font-weight-bold) !important;
font-size: var(--font-size-lg) !important;
color: var(--text-primary) !important;
}
.ant-modal-body {
padding: var(--space-lg) !important;
}
.ant-modal-footer {
padding: var(--space-md) var(--space-lg) !important;
}
/* Button overrides */
.ant-btn-primary {
background: var(--gradient-primary) !important;
border: none !important;
border-radius: var(--radius-md) !important;
box-shadow: var(--shadow-primary) !important;
height: auto !important;
padding: 10px 20px !important;
font-weight: var(--font-weight-bold) !important;
}
.ant-btn-primary:hover {
background: var(--gradient-primary) !important;
box-shadow: var(--shadow-hover) !important;
transform: translateY(-1px);
}
/* Tag overrides */
.ant-tag {
border-radius: var(--radius-xs) !important;
padding: var(--space-xs) 12px !important;
font-weight: var(--font-weight-medium) !important;
}
/* Select overrides */
.ant-select-selector {
border-radius: var(--radius-md) !important;
border-color: var(--border-color) !important;
}
.ant-select:not(.ant-select-disabled):hover .ant-select-selector {
border-color: var(--primary-color) !important;
}
.ant-select-focused .ant-select-selector {
border-color: var(--primary-color) !important;
box-shadow: 0 0 0 3px
color-mix(in srgb, var(--primary-color) 10%, transparent) !important;
}
/* Input overrides */
.ant-input {
border-radius: var(--radius-md) !important;
border-color: var(--border-color) !important;
padding: 10px 14px !important;
}
.ant-input:hover {
border-color: var(--primary-color) !important;
}
.ant-input:focus {
border-color: var(--primary-color) !important;
box-shadow: 0 0 0 3px
color-mix(in srgb, var(--primary-color) 10%, transparent) !important;
}
/* Progress overrides */
.ant-progress-inner {
background: var(--color-gray-100) !important;
border-radius: var(--radius-xs) !important;
}
.ant-progress-bg {
border-radius: var(--radius-xs) !important;
}
+211
View File
@@ -0,0 +1,211 @@
/**
* 统一导航配置
* Header 和 Sidebar 共用此数据源
*/
import React from "react";
import {
DashboardOutlined,
VideoCameraOutlined,
FileOutlined,
AudioOutlined,
FileTextOutlined,
TrophyOutlined,
AppstoreOutlined,
HistoryOutlined,
ControlOutlined,
CrownOutlined,
ScanOutlined,
EditOutlined,
FolderOutlined,
} from "@ant-design/icons";
/** 导航项定义 */
export interface NavItem {
key: string;
label: string;
path: string;
icon: React.ReactNode;
}
/** 导航分组定义 */
export interface NavGroup {
title: string;
items: NavItem[];
}
/**
* 扁平导航列表(Header 使用)
*/
export const NAV_ITEMS: NavItem[] = [
{
key: "dashboard",
label: "概览",
path: "/app/dashboard",
icon: <DashboardOutlined />,
},
{
key: "assets",
label: "素材库",
path: "/app/assets",
icon: <FileOutlined />,
},
{
key: "titles",
label: "标题库",
path: "/app/titles",
icon: <FileTextOutlined />,
},
{
key: "voices",
label: "配音库",
path: "/app/voices",
icon: <AudioOutlined />,
},
{
key: "voice-clone",
label: "我的音色",
path: "/app/voice-clone",
icon: <AudioOutlined />,
},
{
key: "voice-materials",
label: "配音素材库",
path: "/app/voice-materials",
icon: <AudioOutlined />,
},
{
key: "templates",
label: "模板库",
path: "/app/templates",
icon: <AppstoreOutlined />,
},
{
key: "editing-planner",
label: "剪辑编辑器",
path: "/app/editing-planner",
icon: <EditOutlined />,
},
{
key: "my-templates",
label: "我的模板",
path: "/app/my-templates",
icon: <FolderOutlined />,
},
{
key: "generate",
label: "一键生成",
path: "/app/generate",
icon: <VideoCameraOutlined />,
},
{
key: "history",
label: "任务历史",
path: "/app/history",
icon: <HistoryOutlined />,
},
{
key: "products",
label: "成品库",
path: "/app/products",
icon: <TrophyOutlined />,
},
{
key: "duplication",
label: "查重",
path: "/app/duplication",
icon: <ScanOutlined />,
},
];
/**
* 分组导航列表(Sidebar 使用)
*/
export const NAV_GROUPS: NavGroup[] = [
{
title: "创作工具",
items: [
{
key: "dashboard",
label: "首页",
path: "/app/dashboard",
icon: <DashboardOutlined />,
},
{
key: "generate",
label: "一键生成",
path: "/app/generate",
icon: <VideoCameraOutlined />,
},
],
},
{
title: "资源管理",
items: [
{
key: "assets",
label: "素材库",
path: "/app/assets",
icon: <FileOutlined />,
},
{
key: "voices",
label: "配音库",
path: "/app/voices",
icon: <AudioOutlined />,
},
{
key: "voice-clone",
label: "我的音色",
path: "/app/voice-clone",
icon: <AudioOutlined />,
},
{
key: "voice-materials",
label: "配音素材库",
path: "/app/voice-materials",
icon: <AudioOutlined />,
},
{
key: "titles",
label: "标题库",
path: "/app/titles",
icon: <FileTextOutlined />,
},
{
key: "products",
label: "成片库",
path: "/app/products",
icon: <TrophyOutlined />,
},
{
key: "templates",
label: "模板库",
path: "/app/templates",
icon: <AppstoreOutlined />,
},
],
},
{
title: "系统",
items: [
{
key: "history",
label: "任务历史",
path: "/app/history",
icon: <HistoryOutlined />,
},
{
key: "admin",
label: "控制台",
path: "/app/admin",
icon: <ControlOutlined />,
},
{
key: "subscription",
label: "订阅管理",
path: "/app/subscription",
icon: <CrownOutlined />,
},
],
},
];
+40
View File
@@ -75,6 +75,35 @@
margin: 0;
}
/* V21 卡片 */
.xx-card {
background: rgba(255, 255, 255, 0.94);
border: 1px solid rgba(226, 232, 240, 0.95);
border-radius: var(--radius-lg);
box-shadow: 0 10px 30px rgba(15, 23, 42, 0.06);
padding: 24px;
transition: all 0.3s;
}
.xx-card:hover {
box-shadow: 0 16px 40px rgba(15, 23, 42, 0.08);
}
.xx-card .ant-card-head {
border-bottom: 1px solid rgba(226, 232, 240, 0.8);
padding: 20px 24px;
}
.xx-card .ant-card-head-title {
font-weight: 800;
font-size: 17px;
color: var(--slate, #0f172a);
}
.xx-card .ant-card-body {
padding: 24px;
}
/* 统计卡片网格 - 4列 */
.xx-grid-4 {
display: grid;
@@ -273,6 +302,17 @@
box-shadow: 0 0 0 3px rgba(79, 70, 229, 0.1) !important;
}
/* V21 Select */
.xx-select {
border-radius: var(--radius-md) !important;
}
.xx-select:hover,
.xx-select:focus {
border-color: var(--indigo, #4f46e5) !important;
box-shadow: 0 0 0 3px rgba(79, 70, 229, 0.1) !important;
}
/* V21 Tag */
.xx-tag {
border-radius: var(--radius-xs) !important;
+48
View File
@@ -612,6 +612,54 @@
flex: 1;
}
/* ============================================================
按钮(匹配原型 .btn .ghost / .btn .primary
============================================================ */
.xx-btn {
display: inline-flex;
align-items: center;
justify-content: center;
gap: 6px;
height: 42px;
padding: 0 20px;
border-radius: var(--radius-sm);
font-size: 14px;
font-weight: 600;
cursor: pointer;
transition: all 0.15s ease;
border: none;
outline: none;
white-space: nowrap;
}
.xx-btn:disabled {
opacity: 0.5;
cursor: not-allowed;
}
.xx-btn-primary {
background: var(--gradient-primary);
color: var(--text-inverse);
box-shadow: 0 14px 26px rgba(79, 70, 229, 0.22);
}
.xx-btn-primary:hover:not(:disabled) {
transform: translateY(-2px);
box-shadow: 0 18px 34px rgba(79, 70, 229, 0.28);
}
.xx-btn-ghost {
background: var(--bg-primary);
border: 1px solid var(--border-color);
color: var(--text-secondary);
}
.xx-btn-ghost:hover:not(:disabled) {
border-color: var(--info-border);
color: var(--primary-dark);
background: var(--primary-soft);
}
/* ============================================================
右侧预览区 generate-preview
============================================================ */
+7
View File
@@ -170,6 +170,13 @@ export const router = createBrowserRouter([
Component: m.default,
})),
},
{
path: "my-voices",
lazy: () =>
import("@/pages/my-voices/MyVoices").then((m) => ({
Component: m.default,
})),
},
{
path: "accounts",
lazy: () =>
+2 -12
View File
@@ -1,17 +1,7 @@
"""
视频处理模块
轻量工具(ffmpeg_utils / oss_helpers / dedup_helpers)顶层直接导出,
无额外依赖。渲染相关组件(UnifiedRenderService / RenderAdapter /
VideoProcessor 等)按需从子模块导入,避免 __init__ 阶段引入
packages / DB 等重依赖。
"""
# 共享工具模块(零外部依赖,供 editing_modes / generation / edit_plan_generation 等复用)
from . import dedup_helpers, ffmpeg_utils, oss_helpers
from .processor import VideoProcessor, VideoResult
__all__ = [
"ffmpeg_utils",
"oss_helpers",
"dedup_helpers",
]
__all__ = ["VideoProcessor", "VideoResult"]
+3 -7
View File
@@ -93,16 +93,12 @@ class VideoFingerprint:
resolution: tuple[int, int]
def to_dict(self) -> dict:
# 注意:color_histograms 里的值可能是 np.float32(来自 cv2.normalize),
# 直接存进 dict 后 SQLAlchemy JSON 序列化会报 "float32 is not JSON serializable"。
# 这里统一转成 Python 原生 float。
native_histograms = [[float(v) for v in hist] for hist in self.color_histograms]
return {
"md5": self.md5,
"keyframe_phashes": self.keyframe_phashes,
"color_histograms": native_histograms,
"duration": float(self.duration),
"resolution": [int(self.resolution[0]), int(self.resolution[1])],
"color_histograms": self.color_histograms,
"duration": self.duration,
"resolution": list(self.resolution),
}
@@ -1,126 +0,0 @@
"""查重辅助函数 — 从 generation.py 提取的 GeneratedVideo 记录 + 查重逻辑.
供 render_edit_plan 和 generate_video 共同复用,
创建 GeneratedVideo 记录后计算指纹并执行项目级 + 批次内查重。
"""
from __future__ import annotations
import logging
from uuid import uuid4
from sqlalchemy.orm import Session
logger = logging.getLogger(__name__)
def create_video_record_and_dedup(
*,
generation_task_id: str,
project_id: str,
batch_id: str,
file_url: str,
file_size: int,
duration: float,
video_path: str,
mode: str,
session: Session,
width: int = 1280,
height: int = 720,
fps: float = 25.0,
) -> int:
"""创建 GeneratedVideo 记录,计算指纹并执行查重(历史 + 批次)。
Args:
generation_task_id: 生成任务 ID
project_id: 项目 ID
batch_id: 批次 ID(可为空字符串)
file_url: 视频文件 URL
file_size: 文件大小(字节)
duration: 视频时长(秒)
video_path: 视频本地路径(用于计算指纹)
mode: 剪辑模式名称
session: 数据库会话
width: 视频宽度
height: 视频高度
fps: 视频帧率
Returns:
创建的视频记录数量(1 表示成功,0 表示失败)
"""
from video_processing.dedup import VideoDeduplicator
from packages.adapters.sqlalchemy_impl.generated_video_repository import (
SQLAlchemyGeneratedVideoRepository,
)
from packages.domain import GeneratedVideo
try:
video_id = uuid4().hex
generated_video = GeneratedVideo(
id=video_id,
project_id=project_id,
generation_task_id=generation_task_id,
name=f"generated-{generation_task_id[:8]}.mp4",
file_url=file_url,
file_size=file_size,
duration=duration,
width=width,
height=height,
fps=fps,
status="completed",
generation_params={"mode": mode},
)
video_repo = SQLAlchemyGeneratedVideoRepository(session)
video_repo.create(generated_video)
# 计算视频指纹
deduplicator = VideoDeduplicator()
try:
fingerprint = deduplicator.compute_fingerprint(video_path)
except Exception as fp_err:
logger.warning("Fingerprint computation failed for %s: %s", video_id, fp_err)
session.commit()
return 1
generated_video.video_fingerprint = fingerprint.to_dict()
# (a) 历史成片查重
duplicate_result = deduplicator.check_duplicate(fingerprint, project_id, session)
# (b) 批次内查重(仅当有 batch_id 时)
if not duplicate_result and batch_id:
duplicate_result = deduplicator.check_batch_duplicate(fingerprint, batch_id, video_id, session)
if duplicate_result:
generated_video.is_duplicate = True
generated_video.duplicate_of = duplicate_result["duplicate_of"]
logger.info(
"Duplicate detected: %s -> %s (reason=%s, similarity=%.3f)",
video_id,
duplicate_result["duplicate_of"],
duplicate_result["reason"],
duplicate_result["similarity"],
)
else:
generated_video.is_duplicate = False
generated_video.duplicate_of = None
video_repo.update(generated_video)
session.commit()
logger.info(
"GeneratedVideo record created: %s (task=%s, dup=%s)",
video_id,
generation_task_id,
generated_video.is_duplicate,
)
return 1
except Exception as e:
logger.error(
"Failed to create video record / dedup for task %s: %s",
generation_task_id,
e,
)
session.rollback()
return 0
@@ -0,0 +1,700 @@
"""
视频剪辑模式处理器
支持四种剪辑模式:一镜到底、画中画、口播、口播+画中画
"""
import logging
import os
import subprocess
import sys
import tempfile
from dataclasses import dataclass
if sys.version_info >= (3, 11):
from enum import StrEnum
else:
from enum import Enum
class StrEnum(str, Enum):
pass
from pathlib import Path
from typing import Optional
logger = logging.getLogger(__name__)
# 从 domain 层导入 EditingMode,避免重复定义
from packages.domain.editing_mode import EditingMode
class PIPPosition(StrEnum):
"""画中画位置枚举"""
TOP_LEFT = "top_left"
TOP_RIGHT = "top_right"
BOTTOM_LEFT = "bottom_left"
BOTTOM_RIGHT = "bottom_right"
@dataclass
class EditingModeConfig:
"""剪辑模式配置"""
mode: EditingMode
output_width: int = 1280
output_height: int = 720
output_fps: int = 25
pip_position: PIPPosition = PIPPosition.TOP_RIGHT
pip_scale: float = 0.25 # 画中画占主画面的比例
transition_duration: float = 0.5 # 转场时长(秒)
output_codec: str = "libx264"
output_preset: str = "medium"
output_crf: int = 23
class EditingModeProcessor:
"""剪辑模式处理器"""
def __init__(self, config: EditingModeConfig, work_dir: Optional[str] = None):
"""
初始化剪辑模式处理器
Args:
config: 剪辑模式配置
work_dir: 工作目录,默认使用系统临时目录
"""
self.config = config
self.work_dir = work_dir or tempfile.gettempdir()
self._ffmpeg_bin = "ffmpeg"
self._ffprobe_bin = "ffprobe"
def process(
self,
video_paths: list[str],
audio_path: Optional[str] = None,
output_path: Optional[str] = None,
) -> str:
"""
根据模式处理视频,返回输出文件路径
Args:
video_paths: 视频素材路径列表
audio_path: 音频路径(用于口播模式)
output_path: 输出文件路径,默认自动生成
Returns:
输出文件路径
"""
if not video_paths:
raise ValueError("video_paths cannot be empty")
self._validate_inputs(video_paths, audio_path)
if output_path is None:
output_path = self._generate_output_path()
logger.info(f"Processing videos with mode: {self.config.mode}, count: {len(video_paths)}")
try:
if self.config.mode == EditingMode.ONE_TAKE:
return self._one_take(video_paths, output_path)
elif self.config.mode == EditingMode.PIP:
return self._pip(video_paths, output_path)
elif self.config.mode == EditingMode.VOICE_OVER:
return self._voice_over(video_paths, audio_path, output_path)
elif self.config.mode == EditingMode.VOICE_PIP:
return self._voice_pip(video_paths, audio_path, output_path)
else:
raise ValueError(f"Unsupported editing mode: {self.config.mode}")
except Exception as e:
logger.error(f"Error processing videos: {e}")
raise
def _validate_inputs(self, video_paths: list[str], audio_path: Optional[str]) -> None:
"""验证输入文件"""
for path in video_paths:
if not os.path.exists(path):
raise FileNotFoundError(f"Video file not found: {path}")
if not os.path.getsize(path) > 0:
raise ValueError(f"Video file is empty: {path}")
if audio_path and not os.path.exists(audio_path):
raise FileNotFoundError(f"Audio file not found: {audio_path}")
def _generate_output_path(self) -> str:
"""生成输出文件路径"""
os.makedirs(self.work_dir, exist_ok=True)
return os.path.join(self.work_dir, f"output_{self.config.mode}_{os.getpid()}.mp4")
def _run_ffmpeg(self, command: list[str], capture_output: bool = True) -> tuple:
"""执行 FFmpeg 命令"""
logger.debug(f"Running FFmpeg: {' '.join(command)}")
try:
result = subprocess.run(
command,
check=True,
stdout=subprocess.PIPE if capture_output else None,
stderr=subprocess.PIPE if capture_output else None,
text=capture_output,
)
return result.stdout or "", result.stderr or ""
except subprocess.CalledProcessError as e:
stderr = e.stderr.decode() if e.stderr else str(e)
logger.error(f"FFmpeg error: {stderr}")
raise RuntimeError(f"FFmpeg execution failed: {stderr}") from e
def _get_video_info(self, video_path: str) -> dict:
"""获取视频信息"""
try:
result = subprocess.run(
[
self._ffprobe_bin,
"-v",
"error",
"-show_entries",
"stream=width,height,r_frame_rate,duration,codec_name",
"-show_entries",
"format=duration,size",
"-of",
"json",
video_path,
],
check=True,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
text=True,
)
import json
data = json.loads(result.stdout)
streams = data.get("streams", [{}])
video_stream = next((s for s in streams if s.get("codec_type") == "video"), streams[0] if streams else {})
fmt = data.get("format", {})
fps_str = video_stream.get("r_frame_rate", "25/1")
fps_parts = fps_str.split("/")
fps = float(fps_parts[0]) / float(fps_parts[1]) if len(fps_parts) == 2 else float(fps_parts[0])
return {
"width": int(video_stream.get("width", 0)),
"height": int(video_stream.get("height", 0)),
"fps": fps,
"duration": float(fmt.get("duration", 0)),
"codec": video_stream.get("codec_name", "unknown"),
"size": int(fmt.get("size", 0)),
}
except Exception as e:
logger.warning(f"Failed to get video info for {video_path}: {e}")
return {"width": 0, "height": 0, "fps": 25, "duration": 0, "codec": "unknown", "size": 0}
def _get_pip_position_offset(
self, main_width: int, main_height: int, pip_width: int, pip_height: int
) -> tuple[int, int]:
"""获取画中画位置偏移量"""
margin = 10
position_offsets = {
PIPPosition.TOP_LEFT: (margin, margin),
PIPPosition.TOP_RIGHT: (main_width - pip_width - margin, margin),
PIPPosition.BOTTOM_LEFT: (margin, main_height - pip_height - margin),
PIPPosition.BOTTOM_RIGHT: (main_width - pip_width - margin, main_height - pip_height - margin),
}
return position_offsets.get(self.config.pip_position, position_offsets[PIPPosition.TOP_RIGHT])
def _normalize_video(self, input_path: str, output_path: str) -> dict:
"""标准化视频格式:先统一帧率,再缩放/填充"""
command = [
self._ffmpeg_bin,
"-y",
"-i",
input_path,
"-r",
str(self.config.output_fps), # 先统一帧率
"-vf",
f"scale={self.config.output_width}:{self.config.output_height}:force_original_aspect_ratio=decrease,pad={self.config.output_width}:{self.config.output_height}:(ow-iw)/2:(oh-ih)/2,setsar=1",
"-r",
str(self.config.output_fps),
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
"-movflags",
"+faststart",
"-an",
output_path,
]
self._run_ffmpeg(command)
return self._get_video_info(output_path)
def _one_take(self, video_paths: list[str], output_path: str) -> str:
"""一镜到底模式:顺序拼接视频,添加淡入淡出转场"""
if len(video_paths) == 1:
return self._normalize_video(video_paths[0], output_path)
normalized_paths = []
for i, path in enumerate(video_paths):
normalized = os.path.join(self.work_dir, f"normalized_{i}_{os.getpid()}.mp4")
self._normalize_video(path, normalized)
normalized_paths.append(normalized)
durations = [self._get_video_info(p)["duration"] for p in normalized_paths]
if len(normalized_paths) <= 5:
output_path = self._one_take_with_xfade(normalized_paths, durations, output_path)
else:
output_path = self._one_take_simple_concat(normalized_paths, output_path)
for p in normalized_paths:
try:
if p != output_path:
os.remove(p)
except Exception as e:
logger.warning(f"Operation failed in apps/worker/video_processing/editing_modes.py: {e}", exc_info=True)
return output_path
def _one_take_with_xfade(self, normalized_paths: list[str], durations: list[float], output_path: str) -> str:
"""使用 xfade 滤镜实现转场"""
if len(normalized_paths) == 2:
transition = self.config.transition_duration
offset1 = durations[0] - transition / 2
command = [
self._ffmpeg_bin,
"-y",
"-i",
normalized_paths[0],
"-i",
normalized_paths[1],
"-filter_complex",
f"[0:v][1:v]xfade=transition=fade:duration={transition}:offset={offset1}[v]",
"-map",
"[v]",
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
output_path,
]
self._run_ffmpeg(command)
return output_path
else:
return self._one_take_simple_concat(normalized_paths, output_path)
def _one_take_simple_concat(self, normalized_paths: list[str], output_path: str) -> str:
"""使用 concat demuxer 简单拼接"""
concat_file = os.path.join(self.work_dir, f"concat_list_{os.getpid()}.txt")
with open(concat_file, "w") as f:
for path in normalized_paths:
f.write(f"file '{os.path.abspath(path)}'\n")
command = [
self._ffmpeg_bin,
"-y",
"-f",
"concat",
"-safe",
"0",
"-i",
concat_file,
"-c",
"copy",
output_path,
]
self._run_ffmpeg(command)
try:
os.remove(concat_file)
except Exception as e:
logger.warning(f"Operation failed in apps/worker/video_processing/editing_modes.py: {e}", exc_info=True)
return output_path
def _pip(self, video_paths: list[str], output_path: str) -> str:
"""画中画模式:主视频全屏,后续视频叠加在角落"""
if not video_paths:
raise ValueError("No video paths provided")
main_video = video_paths[0]
main_normalized = os.path.join(self.work_dir, f"main_{os.getpid()}.mp4")
main_info = self._normalize_video(main_video, main_normalized)
if len(video_paths) == 1:
os.rename(main_normalized, output_path)
return output_path
pip_width = int(self.config.output_width * self.config.pip_scale)
pip_height = int(self.config.output_height * self.config.pip_scale)
x_offset, y_offset = self._get_pip_position_offset(
self.config.output_width, self.config.output_height, pip_width, pip_height
)
pip_normalized = os.path.join(self.work_dir, f"pip_{os.getpid()}.mp4")
pip_info = self._get_video_info(video_paths[1])
if pip_info["duration"] > main_info["duration"]:
temp_pip = os.path.join(self.work_dir, f"pip_temp_{os.getpid()}.mp4")
command = [
self._ffmpeg_bin,
"-y",
"-i",
video_paths[1],
"-t",
str(main_info["duration"]),
"-vf",
f"scale={pip_width}:{pip_height}",
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
temp_pip,
]
self._run_ffmpeg(command)
pip_normalized_input = temp_pip
else:
command = [
self._ffmpeg_bin,
"-y",
"-i",
video_paths[1],
"-vf",
f"scale={pip_width}:{pip_height}",
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
pip_normalized,
]
self._run_ffmpeg(command)
pip_normalized_input = pip_normalized
if main_info["duration"] > pip_info["duration"]:
looped_pip = os.path.join(self.work_dir, f"pip_looped_{os.getpid()}.mp4")
command = [
self._ffmpeg_bin,
"-y",
"-stream_loop",
"-1",
"-i",
pip_normalized_input,
"-t",
str(main_info["duration"]),
"-vf",
f"scale={pip_width}:{pip_height}",
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
looped_pip,
]
self._run_ffmpeg(command)
pip_normalized_input = looped_pip
command = [
self._ffmpeg_bin,
"-y",
"-i",
main_normalized,
"-i",
pip_normalized_input,
"-filter_complex",
f"[0:v][1:v]overlay={x_offset}:{y_offset}[v]",
"-map",
"[v]",
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
output_path,
]
self._run_ffmpeg(command)
for temp_file in [main_normalized, pip_normalized]:
if temp_file and temp_file != output_path:
try:
os.remove(temp_file)
except Exception as e:
logger.warning(
f"Operation failed in apps/worker/video_processing/editing_modes.py: {e}", exc_info=True
)
return output_path
def _voice_over(self, video_paths: list[str], audio_path: Optional[str], output_path: str) -> str:
"""口播模式:背景画面 + 配音"""
if not audio_path:
raise ValueError("audio_path is required for VOICE_OVER mode")
if not video_paths:
raise ValueError("No background video provided")
audio_info = self._get_video_info(audio_path)
audio_duration = audio_info["duration"]
bg_normalized = os.path.join(self.work_dir, f"bg_{os.getpid()}.mp4")
bg_info = self._normalize_video(video_paths[0], bg_normalized)
if bg_info["duration"] < audio_duration:
looped_bg = os.path.join(self.work_dir, f"bg_looped_{os.getpid()}.mp4")
command = [
self._ffmpeg_bin,
"-y",
"-stream_loop",
"-1",
"-i",
bg_normalized,
"-t",
str(audio_duration),
"-vf",
f"scale={self.config.output_width}:{self.config.output_height}",
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
looped_bg,
]
self._run_ffmpeg(command)
bg_normalized = looped_bg
elif bg_info["duration"] > audio_duration:
temp_bg = os.path.join(self.work_dir, f"bg_trimmed_{os.getpid()}.mp4")
command = [
self._ffmpeg_bin,
"-y",
"-i",
bg_normalized,
"-t",
str(audio_duration),
"-c:v",
"copy",
temp_bg,
]
self._run_ffmpeg(command)
bg_normalized = temp_bg
blurred_bg = os.path.join(self.work_dir, f"bg_blurred_{os.getpid()}.mp4")
command = [
self._ffmpeg_bin,
"-y",
"-i",
bg_normalized,
"-vf",
f"boxblur=5:5,scale={self.config.output_width}:{self.config.output_height}",
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
blurred_bg,
]
self._run_ffmpeg(command)
command = [
self._ffmpeg_bin,
"-y",
"-i",
blurred_bg,
"-i",
audio_path,
"-filter_complex",
"[0:v]drawbox=x=0:y=0:w=iw:h=ih:color=black@0.3:t=fill[v]",
"-map",
"[v]",
"-map",
"1:a",
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
"-shortest",
output_path,
]
self._run_ffmpeg(command)
for temp_file in [bg_normalized, blurred_bg]:
try:
if temp_file != output_path:
os.remove(temp_file)
except Exception as e:
logger.warning(f"Operation failed in apps/worker/video_processing/editing_modes.py: {e}", exc_info=True)
return output_path
def _voice_pip(self, video_paths: list[str], audio_path: Optional[str], output_path: str) -> str:
"""口播+画中画模式:口播视频在角落,其他视频作为背景"""
if not video_paths:
raise ValueError("No video paths provided")
if len(video_paths) == 1:
return self._normalize_video(video_paths[0], output_path)
voice_video = video_paths[0]
bg_video = video_paths[1] if len(video_paths) > 1 else video_paths[0]
voice_normalized = os.path.join(self.work_dir, f"voice_{os.getpid()}.mp4")
voice_info = self._normalize_video(voice_video, voice_normalized)
bg_normalized = os.path.join(self.work_dir, f"bg_{os.getpid()}.mp4")
bg_info = self._normalize_video(bg_video, bg_normalized)
final_duration = min(voice_info["duration"], bg_info["duration"])
pip_width = int(self.config.output_width * self.config.pip_scale)
pip_height = int(self.config.output_height * self.config.pip_scale)
x_offset, y_offset = self._get_pip_position_offset(
self.config.output_width, self.config.output_height, pip_width, pip_height
)
voice_adjusted = os.path.join(self.work_dir, f"voice_adj_{os.getpid()}.mp4")
command = [
self._ffmpeg_bin,
"-y",
"-i",
voice_normalized,
"-t",
str(final_duration),
"-vf",
f"scale={pip_width}:{pip_height}",
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
voice_adjusted,
]
self._run_ffmpeg(command)
bg_adjusted = os.path.join(self.work_dir, f"bg_adj_{os.getpid()}.mp4")
command = [
self._ffmpeg_bin,
"-y",
"-i",
bg_normalized,
"-t",
str(final_duration),
"-c:v",
"copy",
bg_adjusted,
]
self._run_ffmpeg(command)
if audio_path:
command = [
self._ffmpeg_bin,
"-y",
"-i",
bg_adjusted,
"-i",
voice_adjusted,
"-i",
audio_path,
"-filter_complex",
f"[0:v][1:v]overlay={x_offset}:{y_offset}[v]",
"-map",
"[v]",
"-map",
"2:a",
"-shortest",
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
output_path,
]
else:
command = [
self._ffmpeg_bin,
"-y",
"-i",
bg_adjusted,
"-i",
voice_adjusted,
"-filter_complex",
f"[0:v][1:v]overlay={x_offset}:{y_offset}[v]",
"-map",
"[v]",
"-map",
"1:a",
"-shortest",
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
output_path,
]
self._run_ffmpeg(command)
for temp_file in [voice_normalized, voice_adjusted, bg_normalized, bg_adjusted]:
try:
if temp_file != output_path:
os.remove(temp_file)
except Exception as e:
logger.warning(f"Operation failed in apps/worker/video_processing/editing_modes.py: {e}", exc_info=True)
return output_path
def create_processor(mode: str, work_dir: Optional[str] = None, **kwargs) -> EditingModeProcessor:
"""便捷工厂函数:创建剪辑模式处理器"""
try:
editing_mode = EditingMode(mode)
except ValueError:
raise ValueError(f"Invalid editing mode: {mode}. Valid modes: {[m.value for m in EditingMode]}")
config = EditingModeConfig(
mode=editing_mode,
output_width=kwargs.get("output_width", 1280),
output_height=kwargs.get("output_height", 720),
output_fps=kwargs.get("output_fps", 25),
pip_position=PIPPosition(kwargs.get("pip_position", "top_right")),
pip_scale=kwargs.get("pip_scale", 0.25),
transition_duration=kwargs.get("transition_duration", 0.5),
)
return EditingModeProcessor(config=config, work_dir=work_dir)
@@ -1,396 +0,0 @@
"""FFmpeg 工具函数 — 共享原语.
提供 FFmpeg / FFprobe 调用、视频信息探测、视频标准化、xfade 转场滤镜构建
等底层能力,供 UnifiedRenderService、VideoComposeService 等复用。
"""
from __future__ import annotations
import logging
import shutil
import subprocess # nosec B404
from pathlib import Path
from typing import Any
logger = logging.getLogger(__name__)
# ── 常量 ──────────────────────────────────────────────────────────────────────
FFMPEG_BIN: str = shutil.which("ffmpeg") or "ffmpeg"
FFPROBE_BIN: str = shutil.which("ffprobe") or "ffprobe"
DEFAULT_OUTPUT_WIDTH = 1280
DEFAULT_OUTPUT_HEIGHT = 720
DEFAULT_FPS = 25
# xfade 转场映射:transition_effect 名称 → FFmpeg xfade transition 名称
# 键同时支持 TransitionEffect 枚举值和字符串名称(向后兼容)
XFADE_TRANSITION_MAP: dict[str, str] = {
"fade": "fade",
"slideleft": "slideleft",
"slide_left": "slideleft",
"slideright": "slideright",
"slide_right": "slideright",
"slideup": "slideup",
"slide_up": "slideup",
"slidedown": "slidedown",
"slide_down": "slidedown",
"dissolve": "dissolve",
"wipe": "wipeleft",
"wipeleft": "wipeleft",
}
DEFAULT_TRANSITION_DURATION = 0.5
# FFmpeg 执行默认超时(秒),防止 FFmpeg hang 住导致 worker 永久阻塞
# 默认 30 分钟,足够处理大部分短视频渲染;超长视频可单独传参覆盖
DEFAULT_FFMPEG_TIMEOUT = 1800
# ── FFmpeg 执行 ───────────────────────────────────────────────────────────────
def run_ffmpeg(
command: list[str],
*,
capture_output: bool = True,
timeout: int | None = DEFAULT_FFMPEG_TIMEOUT,
) -> tuple[str, str]:
"""执行 FFmpeg 命令。
Args:
command: 完整的 ffmpeg 命令列表(含 "ffmpeg" 本身)
capture_output: 是否捕获 stdout/stderr
timeout: 超时时间(秒),默认 1800s(30分钟);None 表示不设超时(不推荐)
Returns:
(stdout, stderr) 元组
Raises:
subprocess.CalledProcessError: 命令执行失败时抛出,
异常信息包含完整 stderr 以便排查。
subprocess.TimeoutExpired: 超时未完成时抛出,FFmpeg 进程会被 kill。
"""
try:
result = subprocess.run( # nosec B603
command,
check=True,
stdout=subprocess.PIPE if capture_output else None,
stderr=subprocess.PIPE if capture_output else None,
text=True,
timeout=timeout,
)
return (result.stdout or "", result.stderr or "")
except subprocess.TimeoutExpired as e:
logger.error(
"FFmpeg 命令超时 (%ds): command=%s",
timeout or -1,
" ".join(str(c) for c in command[:20]),
)
raise
except subprocess.CalledProcessError as e:
# 把完整 stderr 打到日志,方便排查 exit code 183 等问题
stderr_text = (e.stderr or "").strip()
logger.error(
"FFmpeg 命令失败: exit_code=%d command=%s\nstderr:\n%s",
e.returncode,
" ".join(str(c) for c in command[:20]), # 截断过长的命令
stderr_text[:5000], # 截断过长的 stderr
)
raise
def probe_has_audio(local_path: str | Path) -> bool:
"""探测文件是否包含音频流。
Args:
local_path: 本地文件路径
Returns:
True 表示有音频流(或探测失败保守返回),False 表示确认无音频流
"""
try:
result = subprocess.run( # nosec B603
[
FFPROBE_BIN,
"-v",
"error",
"-select_streams",
"a:0",
"-show_entries",
"stream=codec_type",
"-of",
"default=noprint_wrappers=1:nokey=1",
str(local_path),
],
check=True,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
text=True,
timeout=10,
)
return result.stdout.strip() == "audio"
except Exception:
# 探测失败保守返回 True,让 FFmpeg 自己处理(避免误删音频)
return True
def probe_duration(local_path: str | Path) -> float:
"""用 ffprobe 获取视频时长(秒)。
失败时返回默认值 5.0 秒。
"""
try:
result = subprocess.run( # nosec B603
[
FFPROBE_BIN,
"-v",
"error",
"-show_entries",
"format=duration",
"-of",
"default=noprint_wrappers=1:nokey=1",
str(local_path),
],
check=True,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
text=True,
)
return round(float(result.stdout.strip()), 3)
except Exception:
return 5.0
def probe_video_info(video_path: str) -> dict[str, Any]:
"""获取视频信息(宽、高、时长、fps、编码、像素格式)。
Returns:
{
"width": int, "height": int, "duration": float, "fps": float,
"video_codec": str, "audio_codec": str, "pix_fmt": str,
"has_audio": bool,
}
失败时返回默认值。
"""
try:
result = subprocess.run( # nosec B603
[
FFPROBE_BIN,
"-v",
"error",
"-show_entries",
"stream=width,height,r_frame_rate,duration,codec_name,codec_type,pix_fmt",
"-show_entries",
"format=duration",
"-of",
"json",
video_path,
],
check=True,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
text=True,
timeout=15,
)
import json
info = json.loads(result.stdout)
streams = info.get("streams", [])
fmt = info.get("format", {})
video_stream = next((s for s in streams if s.get("codec_type") == "video"), {})
audio_stream = next((s for s in streams if s.get("codec_type") == "audio"), {})
width = int(video_stream.get("width", DEFAULT_OUTPUT_WIDTH))
height = int(video_stream.get("height", DEFAULT_OUTPUT_HEIGHT))
video_codec = video_stream.get("codec_name", "") or ""
pix_fmt = video_stream.get("pix_fmt", "") or ""
# 解析帧率
fps_str = video_stream.get("r_frame_rate", "25/1")
if "/" in fps_str:
num, den = fps_str.split("/")
fps = float(num) / float(den) if float(den) > 0 else DEFAULT_FPS
else:
fps = float(fps_str) if fps_str else DEFAULT_FPS
# 时长
duration = float(fmt.get("duration", 0)) or float(video_stream.get("duration", 0))
has_audio = bool(audio_stream)
audio_codec = audio_stream.get("codec_name", "") or ""
return {
"width": width,
"height": height,
"duration": duration,
"fps": round(fps, 2),
"video_codec": video_codec,
"audio_codec": audio_codec,
"pix_fmt": pix_fmt,
"has_audio": has_audio,
}
except Exception as e:
logger.warning("获取视频信息失败: %s, error: %s", video_path, e)
return {
"width": DEFAULT_OUTPUT_WIDTH,
"height": DEFAULT_OUTPUT_HEIGHT,
"duration": 0.0,
"fps": DEFAULT_FPS,
"video_codec": "",
"audio_codec": "",
"pix_fmt": "",
"has_audio": True,
}
def normalize_video(
input_path: str,
output_path: str,
*,
width: int = DEFAULT_OUTPUT_WIDTH,
height: int = DEFAULT_OUTPUT_HEIGHT,
fps: int = DEFAULT_FPS,
) -> dict[str, Any]:
"""标准化视频(缩放 + 恒定帧率)。
使用 scale + pad 保持宽高比,黑边填充到目标分辨率。
Returns:
{"width": int, "height": int, "path": str}
"""
command = [
FFMPEG_BIN,
"-y",
"-i",
input_path,
"-vf",
f"scale={width}:{height}:force_original_aspect_ratio=decrease,"
f"pad={width}:{height}:(ow-iw)/2:(oh-ih)/2:black,"
f"fps={fps}",
"-c:v",
"libx264",
"-crf",
"23",
"-preset",
"medium",
"-c:a",
"aac",
"-b:a",
"128k",
"-movflags",
"+faststart",
output_path,
]
run_ffmpeg(command)
return {"width": width, "height": height, "path": output_path}
# ── xfade / concat 滤镜构建 ──────────────────────────────────────────────────
def chain_filters(filters: list[str], output_label: str, *, input_label: str = "0:v") -> str:
"""将滤镜列表串联为 FFmpeg 滤镜字符串。
例:chain_filters(["scale=1280:720", "fps=25"], "v0")
"[0:v]scale=1280:720,fps=25[v0]"
"""
filter_body = ",".join(filters)
return f"[{input_label}]{filter_body}[{output_label}]"
def resolve_xfade_transition(transition_name: str) -> str:
"""将转场效果名称映射为 FFmpeg xfade transition 名称。
支持 TransitionEffect 枚举值和字符串名称,未知值回退到 "fade"
"""
# 兼容 TransitionEffect 枚举(有 .value 属性)
if hasattr(transition_name, "value"):
transition_name = transition_name.value
return XFADE_TRANSITION_MAP.get(transition_name, "fade")
def build_xfade_filter_chain(
clip_durations: list[float],
clip_video_labels: list[str],
transitions: list[str],
*,
transition_duration: float = DEFAULT_TRANSITION_DURATION,
output_label: str = "outv",
) -> tuple[str, float]:
"""构建 xfade 转场滤镜链。
对每步 xfade 自动钳制 transition duration,确保
``offset + td ≤ first_input_duration``,避免 FFmpeg exit 234。
Args:
clip_durations: 每个片段的时长(必须与 trim 后的实际时长一致)
clip_video_labels: 每个片段的视频流标签(如 "v0", "v1"
transitions: 每个片段对应的转场效果(第一个片段的转场被忽略)
transition_duration: 转场时长(秒)
output_label: 最终输出标签
Returns:
(filter_string, estimated_total_duration)
"""
n = len(clip_durations)
parts: list[str] = []
if n == 0:
return "", 0.0
if n == 1:
parts.append(f"[{clip_video_labels[0]}]copy[{output_label}]")
return ";".join(parts), clip_durations[0]
# xfade 链 — 每步动态钳制 td,防止 offset + td > first_input_duration
cumulative = 0.0
prev_label = clip_video_labels[0]
total_transition = 0.0 # 累计已使用的转场时长
for i in range(1, n):
cumulative += clip_durations[i - 1]
# 当前 xfade 的第一个输入时长
if i == 1:
first_input_dur = clip_durations[0]
else:
first_input_dur = cumulative - total_transition
# 原始 offset 计算
offset = max(0.0, cumulative - transition_duration * i)
# 安全钳制:offset + td 不能超过第一个输入的时长
available = max(0.0, first_input_dur - offset)
safe_td = min(transition_duration, available)
# 同时不能超过剩余总时长
remaining = max(0.0, sum(clip_durations) - cumulative)
safe_td = min(safe_td, remaining)
# 同时不能超过当前第二个输入(单个片段)的时长
safe_td = min(safe_td, clip_durations[i])
safe_td = max(0.001, safe_td) # 至少 1ms,避免 td=0
transition = transitions[i] if i < len(transitions) else "cut"
xfade_transition = resolve_xfade_transition(transition)
if i == n - 1:
out_label = output_label
else:
out_label = f"xf{i}"
parts.append(
f"[{prev_label}][{clip_video_labels[i]}]"
f"xfade=transition={xfade_transition}"
f":duration={safe_td:.3f}"
f":offset={offset:.3f}"
f"[{out_label}]"
)
prev_label = out_label
total_transition += safe_td
# 总时长减去转场重叠部分
total_duration = sum(clip_durations) - total_transition
return ";".join(parts), max(0.0, total_duration)
-266
View File
@@ -1,266 +0,0 @@
"""OSS 工具函数 — 从 generation.py / edit_plan_generation.py 提取的共享 OSS 操作.
提供 OSS 配置读取、Bucket 创建、素材上传/下载、asset_id → 本地路径解析
等能力,供 render_edit_plan 和 generate_video 共同复用。
"""
from __future__ import annotations
import hashlib
import logging
import os
import threading
from pathlib import Path
from typing import Optional
from urllib.parse import urlparse
import oss2
logger = logging.getLogger(__name__)
# OSS 上传配置
OSS_CONNECT_TIMEOUT = 10 # 连接超时(秒),防止 TCP 握手挂死
OSS_UPLOAD_TOTAL_TIMEOUT = 300 # 单文件上传总超时(秒),防止网络慢时无限卡住
OSS_MULTIPART_THRESHOLD = 100 * 1024 * 1024 # 分片上传阈值:100MB 以上走分片
OSS_PART_SIZE = 8 * 1024 * 1024 # 分片大小:8MB
OSS_MULTIPART_NUM_THREADS = 3 # 分片上传并发数
# ── OSS 配置 ──────────────────────────────────────────────────────────────────
def oss_settings() -> tuple[str, str, str, str] | None:
"""获取 OSS 配置。
Returns:
(access_key_id, access_key_secret, endpoint, bucket_name) 元组,
配置缺失时返回 None。
"""
access_key_id = os.getenv("OSS_ACCESS_KEY_ID")
access_key_secret = os.getenv("OSS_ACCESS_KEY_SECRET")
endpoint = os.getenv("OSS_ENDPOINT")
bucket_name = os.getenv("OSS_BUCKET_NAME")
if not all([access_key_id, access_key_secret, endpoint, bucket_name]):
return None
return access_key_id, access_key_secret, endpoint, bucket_name
def oss_bucket() -> oss2.Bucket | None:
"""获取 OSS Bucket 实例。
P0-2 修复:endpoint 不带 scheme 时自动补 https:// 前缀,
确保 sign_url 等依赖 scheme 的方法返回 HTTPS URL。
P0-staging 修复:增加 connect_timeout=10s,防止网络抖动时
TCP 握手阶段无限挂死,导致 worker 进程卡死。
Returns:
oss2.Bucket 实例,配置缺失时返回 None。
"""
settings = oss_settings()
if settings is None:
return None
access_key_id, access_key_secret, endpoint, bucket_name = settings
# endpoint 无 scheme 时补 https://,与 API 端 storage.py 保持一致
if not endpoint.startswith(("http://", "https://")):
endpoint = f"https://{endpoint}"
return oss2.Bucket(
oss2.Auth(access_key_id, access_key_secret),
endpoint,
bucket_name,
connect_timeout=OSS_CONNECT_TIMEOUT,
)
def normalize_storage_key(storage_key_or_url: str) -> str:
"""标准化存储键 — 如果是完整 URL 则提取 path 部分。
Examples:
"https://bucket.oss-cn-hangzhou.aliyuncs.com/path/to/file.mp4"
"path/to/file.mp4"
"path/to/file.mp4""path/to/file.mp4"
"""
if storage_key_or_url.startswith(("http://", "https://")):
return urlparse(storage_key_or_url).path.lstrip("/")
return storage_key_or_url.lstrip("/")
# ── 上传 / 下载 ───────────────────────────────────────────────────────────────
def download_asset(asset_storage_key: str, local_path: Path) -> bool:
"""从 OSS 下载素材文件到本地路径。
Args:
asset_storage_key: 素材的存储键(或完整 URL)
local_path: 本地保存路径
Returns:
True 表示下载成功,False 表示失败。
"""
bucket = oss_bucket()
if bucket is None:
return False
try:
bucket.get_object_to_file(normalize_storage_key(asset_storage_key), str(local_path))
return local_path.exists() and local_path.stat().st_size > 0
except Exception:
logger.exception("下载素材失败: %s", asset_storage_key)
return False
def upload_to_oss(local_path: Path, storage_key: str) -> str | None:
"""上传文件到 OSS,返回公开 URL。
大文件(>100MB)自动走分片上传,降低内存峰值,减少 OOM 风险。
上传加总超时保护(默认 300s),防止网络异常时无限挂死。
Args:
local_path: 本地文件路径
storage_key: 目标存储键
Returns:
公开访问 URL,上传失败或 OSS 未配置时返回 None。
"""
bucket = oss_bucket()
if bucket is None:
return None
result: dict = {"url": None, "error": None, "file_size": 0}
done = threading.Event()
def _do_upload():
try:
# 尝试获取文件大小,用于分片判断和日志;stat 失败时 fallback 走普通上传
try:
file_size = local_path.stat().st_size
result["file_size"] = file_size
use_multipart = file_size >= OSS_MULTIPART_THRESHOLD
except OSError:
use_multipart = False
file_size = 0
if use_multipart:
# 分片上传:降低内存峰值,每片 8MB,3 线程并发
logger.info(
"大文件分片上传: storage_key=%s, size=%.1fMB, part_size=%dMB, threads=%d",
storage_key[:80],
file_size / 1024 / 1024,
OSS_PART_SIZE // 1024 // 1024,
OSS_MULTIPART_NUM_THREADS,
)
oss2.resumable_upload(
bucket,
storage_key,
str(local_path),
multipart_threshold=OSS_MULTIPART_THRESHOLD,
part_size=OSS_PART_SIZE,
num_threads=OSS_MULTIPART_NUM_THREADS,
)
else:
bucket.put_object_from_file(storage_key, str(local_path))
# 构造返回 URL
settings = oss_settings()
if settings:
_, _, endpoint, bucket_name = settings
endpoint_clean = endpoint.replace("https://", "").replace("http://", "")
result["url"] = f"https://{bucket_name}.{endpoint_clean}/{storage_key}"
except Exception as e:
result["error"] = e
logger.exception("上传 OSS 失败: %s", storage_key)
finally:
done.set()
upload_thread = threading.Thread(target=_do_upload, daemon=True)
upload_thread.start()
finished = done.wait(timeout=OSS_UPLOAD_TOTAL_TIMEOUT)
if not finished:
logger.error(
"OSS 上传超时(%.0fs),强制中止: storage_key=%s, size=%.1fMB",
OSS_UPLOAD_TOTAL_TIMEOUT,
storage_key[:80],
result["file_size"] / 1024 / 1024 if result["file_size"] else 0,
)
return None
if result["error"]:
return None
return result["url"]
def get_signed_download_url(storage_key_or_url: str, expires_seconds: int = 3600) -> str | None:
"""生成预签名下载 URL(用于私有 bucket 的 URL 校验或临时下载)。
Args:
storage_key_or_url: 存储键或完整 URLURL 会自动提取 path
expires_seconds: 签名有效期(秒)
Returns:
预签名 URL,失败或 OSS 未配置时返回 None。
"""
bucket = oss_bucket()
if bucket is None:
return None
try:
storage_key = normalize_storage_key(storage_key_or_url)
signed = bucket.sign_url("GET", storage_key, expires_seconds)
logger.info("生成预签名URL: key=%s url_prefix=%s", storage_key[:80], signed[:60])
return signed
except Exception:
logger.exception("生成预签名URL失败: %s", storage_key_or_url[:80])
return None
# ── Asset 解析 ────────────────────────────────────────────────────────────────
def resolve_asset_path(asset_id: str, work_dir: Path) -> Path | None:
"""从 asset_id 解析到本地文件路径。
策略(按优先级):
1. 如果 asset_id 是本地绝对路径(/var/storage/...)→ 直接返回
2. 如果 work_dir 下已有缓存文件 → 返回缓存路径
3. 从 OSS 下载到 work_dir/{hash}.mp4 → 返回下载路径
4. 下载失败 → 返回 None
缓存策略:以 asset_id 的 SHA256 前 16 位为文件名,避免重复下载。
"""
# 1. 本地绝对路径
if asset_id.startswith("/") and os.path.exists(asset_id):
return Path(asset_id)
# 2. 缓存命中
cache_hash = hashlib.sha256(asset_id.encode()).hexdigest()[:16]
cached_path = work_dir / f"{cache_hash}.mp4"
if cached_path.exists() and cached_path.stat().st_size > 0:
return cached_path
# 3. 从 OSS 下载
if download_asset(asset_id, cached_path):
return cached_path
return None
def resolve_asset_ids_to_paths(
asset_ids: list[str],
work_dir: Path,
) -> dict[str, Path]:
"""批量解析 asset_id → 本地路径。
Args:
asset_ids: 素材 ID 列表
work_dir: 工作目录
Returns:
{asset_id: local_path} 映射,仅包含成功解析的条目。
"""
result: dict[str, Path] = {}
for aid in asset_ids:
local_path = resolve_asset_path(aid, work_dir)
if local_path:
result[aid] = local_path
return result
@@ -1,299 +0,0 @@
"""统一渲染引擎适配层 — Phase 2.
将 EditPlan + EditPlanClips(来自 DB)适配为 UnifiedRenderService 的输入格式,
封装素材下载、渲染执行、结果上传的完整流程。
职责:
1. 从 DB 读取 EditPlan + EditPlanClips
2. 下载素材到本地,构建 asset_path_map
3. 调用 UnifiedRenderService 执行渲染
4. 上传渲染结果到 OSS
5. 支持进度回调(对接 JobService)
"""
from __future__ import annotations
import logging
import tempfile
from dataclasses import dataclass
from pathlib import Path
from typing import Any, Callable
from sqlalchemy.orm import Session
from video_processing.oss_helpers import download_asset, upload_to_oss
from video_processing.unified_render_service import RenderResult, UnifiedRenderService
from packages.adapters.sqlalchemy_impl.edit_plan_clip_repository import SQLAlchemyEditPlanClipRepository
from packages.adapters.sqlalchemy_impl.edit_plan_repository import SQLAlchemyEditPlanRepository
from packages.domain.edit_plan import EditPlan, EditPlanStatus
from packages.domain.edit_plan_clip import EditPlanClip, EditPlanClipStatus
logger = logging.getLogger(__name__)
# ── 数据结构 ──────────────────────────────────────────────────────────────────
@dataclass
class RenderAdapterResult:
"""渲染适配结果。"""
success: bool
output_url: str = ""
output_path: Path | None = None
duration: float = 0.0
file_size: int = 0
width: int = 0
height: int = 0
clip_count: int = 0
error_message: str = ""
ProgressCallback = Callable[[float, str], None]
"""进度回调:(progress_0_100, stage_description) → None"""
# ── 适配层主体 ────────────────────────────────────────────────────────────────
class RenderAdapter:
"""统一渲染引擎适配层。
桥接 EditPlan 领域模型与 UnifiedRenderService 图层模型。
用法::
adapter = RenderAdapter(db)
result = adapter.render_plan(
plan_id=plan_id,
job_id=job_id,
progress_cb=lambda p, s: job_service.update_progress(job_id, p, s),
)
"""
def __init__(self, db: Session) -> None:
self._db = db
self._plan_repo = SQLAlchemyEditPlanRepository(db)
self._clip_repo = SQLAlchemyEditPlanClipRepository(db)
# ── 公开方法 ──────────────────────────────────────────────────────────
def render_plan(
self,
plan_id: str,
*,
job_id: str = "",
work_dir: Path | None = None,
progress_cb: ProgressCallback | None = None,
) -> RenderAdapterResult:
"""渲染一个 EditPlan。
完整流程:
1. 加载计划与片段
2. 下载素材
3. 执行统一渲染
4. 上传结果
Args:
plan_id: EditPlan ID
job_id: 关联的 Job ID(用于结果存储路径)
work_dir: 工作目录,不传则使用临时目录
progress_cb: 进度回调函数
Returns:
RenderAdapterResult
"""
temp_dir = None
try:
# 0. 准备工作目录
if work_dir is None:
temp_dir = tempfile.mkdtemp(prefix="render_")
work_dir = Path(temp_dir)
work_dir.mkdir(parents=True, exist_ok=True)
self._report_progress(progress_cb, 5.0, "加载剪辑计划")
# 1. 加载计划与片段
plan = self._plan_repo.get(plan_id)
if plan is None:
return RenderAdapterResult(
success=False,
error_message=f"剪辑计划不存在: {plan_id}",
)
clips = self._clip_repo.list_by_plan(plan_id, skip=0, limit=10000)
ready_clips = [c for c in clips if c.status == EditPlanClipStatus.READY and c.asset_id]
ready_clips.sort(key=lambda c: c.order)
if not ready_clips:
return RenderAdapterResult(
success=False,
error_message="没有可渲染的就绪片段",
clip_count=0,
)
logger.info(
"开始渲染: plan_id=%s job_id=%s ready_clips=%d engine=unified",
plan_id,
job_id,
len(ready_clips),
)
self._report_progress(progress_cb, 15.0, f"下载素材({len(ready_clips)} 个)")
# 2. 下载素材
asset_path_map = self._download_assets(ready_clips, work_dir)
if not asset_path_map:
return RenderAdapterResult(
success=False,
error_message="所有素材下载失败",
clip_count=len(ready_clips),
)
self._report_progress(progress_cb, 40.0, "执行视频渲染")
# 3. 执行统一渲染
render_svc = UnifiedRenderService(
plan=plan,
clips=ready_clips,
asset_path_map=asset_path_map,
work_dir=work_dir,
)
result = render_svc.render()
self._report_progress(progress_cb, 80.0, "上传渲染结果")
# 4. 上传结果
storage_key = f"rendered/{plan_id}/{job_id or plan_id}.mp4"
output_url = upload_to_oss(result.output_path, storage_key)
self._report_progress(progress_cb, 100.0, "渲染完成")
logger.info(
"[render-adapter] render success: plan_id=%s job_id=%s engine=unified "
"duration=%.2fs file_size=%d resolution=%dx%d clip_count=%d",
plan_id,
job_id,
result.duration,
result.file_size,
result.width,
result.height,
len(ready_clips),
)
return RenderAdapterResult(
success=True,
output_url=output_url or "",
output_path=result.output_path,
duration=result.duration,
file_size=result.file_size,
width=result.width,
height=result.height,
clip_count=len(ready_clips),
)
except Exception as exc:
logger.exception(
"[render-adapter] render failed: plan_id=%s job_id=%s engine=unified error=%s",
plan_id,
job_id,
str(exc)[:200],
)
return RenderAdapterResult(
success=False,
error_message=str(exc)[:500],
)
finally:
# 清理临时目录
if temp_dir:
import shutil
try:
shutil.rmtree(temp_dir, ignore_errors=True)
except Exception:
pass
def validate_plan(self, plan_id: str) -> tuple[bool, list[str], list[str], int, int]:
"""校验计划是否可渲染(兼容 VideoComposeService.validate_compose 接口)。
Returns:
(valid, errors, warnings, ready_clip_count, total_clip_count)
"""
errors: list[str] = []
warnings: list[str] = []
plan = self._plan_repo.get(plan_id)
if plan is None:
return False, [f"剪辑计划不存在: {plan_id}"], [], 0, 0
if plan.status not in (EditPlanStatus.EDITING, EditPlanStatus.RENDERING):
errors.append(f"计划状态不正确,需要 editing 或 rendering,当前: {plan.status}")
clips = self._clip_repo.list_by_plan(plan_id, skip=0, limit=10000)
if not clips:
errors.append("计划没有任何片段")
return False, errors, warnings, 0, 0
clips.sort(key=lambda c: c.order)
ready_count = 0
pending_count = 0
no_asset_count = 0
for clip in clips:
if clip.status == EditPlanClipStatus.READY:
ready_count += 1
if not clip.asset_id:
errors.append(f"片段 {clip.id} (order={clip.order}) 没有分配素材")
no_asset_count += 1
elif clip.status == EditPlanClipStatus.PENDING:
pending_count += 1
elif clip.status == EditPlanClipStatus.FAILED:
warnings.append(f"片段 {clip.id} (order={clip.order}) 状态为 failed,已跳过")
if ready_count == 0:
errors.append("没有就绪(ready)的片段可以合成")
if pending_count > 0:
warnings.append(f"{pending_count} 个片段仍处于 pending 状态")
return len(errors) == 0, errors, warnings, ready_count, len(clips)
# ── 内部方法 ──────────────────────────────────────────────────────────
@staticmethod
def _report_progress(progress_cb: ProgressCallback | None, progress: float, stage: str) -> None:
"""上报进度。"""
if progress_cb is not None:
try:
progress_cb(progress, stage)
except Exception:
logger.exception("进度回调失败")
@staticmethod
def _download_assets(clips: list[EditPlanClip], work_dir: Path) -> dict[str, Path]:
"""下载片段素材到本地,返回 asset_id → local_path 映射。
只保留下载成功的素材。
"""
asset_dir = work_dir / "assets"
asset_dir.mkdir(exist_ok=True)
asset_path_map: dict[str, Path] = {}
for clip in clips:
asset_id = clip.asset_id
if not asset_id:
continue
# 生成安全的本地文件名
safe_name = f"clip_{clip.order:04d}_{abs(hash(asset_id)) % 100000:05d}.mp4"
local_path = asset_dir / safe_name
if download_asset(asset_id, local_path):
asset_path_map[asset_id] = local_path
logger.debug("素材下载成功: clip_id=%s asset_id=%s", clip.id, asset_id[:60])
else:
logger.warning("素材下载失败: clip_id=%s asset_id=%s", clip.id, asset_id[:60])
return asset_path_map
@@ -1,204 +0,0 @@
"""渲染引擎 Feature Flag 解析器。
封装渲染引擎选择逻辑,支持:
- 环境变量作为默认值(RENDER_ENGINE=legacy/unified
- Redis Feature Flag 运行时覆盖(白名单 + 百分比 + 全局开关)
- 定时刷新,支持热更新不重启 worker
使用方式:
resolver = RenderEngineResolver(redis_url="redis://...", default_engine="legacy")
engine = resolver.get_engine(user_id="user123")
# engine: "legacy""unified"
"""
from __future__ import annotations
import logging
import threading
from typing import Optional
from packages.adapters.redis.feature_flag_store import (
FeatureFlagConfig,
FeatureFlagStore,
InMemoryFeatureFlagStore,
RedisFeatureFlagStore,
)
logger = logging.getLogger(__name__)
# Feature Flag 名称常量
FLAG_RENDER_ENGINE = "render_engine"
# 引擎常量
ENGINE_LEGACY = "legacy"
ENGINE_UNIFIED = "unified"
VALID_ENGINES = {ENGINE_LEGACY, ENGINE_UNIFIED}
class RenderEngineResolver:
"""渲染引擎选择器。
判定逻辑(从高到低):
1. Redis flag 白名单匹配 → unified
2. Redis flag 百分比命中 → unified
3. Redis flag 全局开启(100%)→ unified
4. 环境变量默认值 → legacy / unified
当 Redis 不可用时,自动降级到环境变量默认值,不影响业务。
"""
def __init__(
self,
default_engine: str = ENGINE_LEGACY,
redis_url: Optional[str] = None,
refresh_interval: float = 30.0,
store: Optional[FeatureFlagStore] = None,
) -> None:
"""
Args:
default_engine: 环境变量默认的引擎名(legacy / unified
redis_url: Redis 连接 URL,传 None 时使用内存实现(测试用)
refresh_interval: Redis flag 配置刷新间隔(秒)
store: 直接传入 store 实例(测试用,优先级高于 redis_url)
"""
self._default_engine = default_engine.lower() if default_engine else ENGINE_LEGACY
if self._default_engine not in VALID_ENGINES:
logger.warning(
"Invalid default engine '%s', fallback to '%s'",
self._default_engine,
ENGINE_LEGACY,
)
self._default_engine = ENGINE_LEGACY
if store is not None:
self._store = store
elif redis_url:
self._store = RedisFeatureFlagStore(redis_url=redis_url)
else:
self._store = InMemoryFeatureFlagStore()
logger.info("No Redis configured, using in-memory feature flag store")
self._refresh_interval = refresh_interval
self._lock = threading.Lock()
self._cached_config: Optional[FeatureFlagConfig] = None
self._last_refresh: float = 0.0
def _maybe_refresh(self) -> None:
"""惰性刷新配置,超过刷新间隔时从存储重新读取。"""
import time
now = time.time()
if now - self._last_refresh < self._refresh_interval:
return
try:
config = self._store.get(FLAG_RENDER_ENGINE)
with self._lock:
self._cached_config = config
self._last_refresh = now
except Exception as exc:
logger.warning("Failed to refresh render engine flag: %s", exc)
# 刷新失败时保留旧缓存,不中断业务
if self._cached_config is None:
# 首次就读失败,设一个默认值
with self._lock:
self._cached_config = FeatureFlagConfig(name=FLAG_RENDER_ENGINE)
self._last_refresh = now
def _get_config(self) -> FeatureFlagConfig:
"""获取当前 flag 配置(带缓存)。"""
if self._cached_config is None:
self._maybe_refresh()
else:
self._maybe_refresh()
return self._cached_config or FeatureFlagConfig(name=FLAG_RENDER_ENGINE)
def get_engine(self, user_id: Optional[str] = None) -> str:
"""获取当前应该使用的渲染引擎。
Args:
user_id: 用户ID,用于白名单匹配和百分比哈希。
传 None 时只看全局开关。
Returns:
"legacy""unified"
"""
config = self._get_config()
# 全局关闭 → 用默认值
if not config.enabled:
return self._default_engine
# 白名单匹配 / 百分比命中 → unified
if config.is_active(user_id):
return ENGINE_UNIFIED
# 未命中灰度 → 用默认值
return self._default_engine
def should_use_unified(self, user_id: Optional[str] = None) -> bool:
"""便捷方法:是否应该使用统一渲染引擎。"""
return self.get_engine(user_id) == ENGINE_UNIFIED
def force_refresh(self) -> None:
"""强制立即刷新配置(用于管理接口修改后立即生效)。"""
self._last_refresh = 0.0
if isinstance(self._store, RedisFeatureFlagStore):
self._store.invalidate_cache(FLAG_RENDER_ENGINE)
self._maybe_refresh()
def get_config_snapshot(self) -> dict:
"""获取当前配置快照(用于管理接口展示)。"""
config = self._get_config()
return {
"flag_name": FLAG_RENDER_ENGINE,
"default_engine": self._default_engine,
"enabled": config.enabled,
"percentage": config.percentage,
"whitelist": sorted(config.whitelist),
"refresh_interval": self._refresh_interval,
"last_refresh": self._last_refresh,
}
def set_flag(self, config: FeatureFlagConfig) -> None:
"""设置 flag 配置(管理接口用)。"""
config.name = FLAG_RENDER_ENGINE
self._store.set(config)
self.force_refresh()
# 全局单例
_resolver: Optional[RenderEngineResolver] = None
_resolver_lock = threading.Lock()
def get_render_engine_resolver() -> RenderEngineResolver:
"""获取全局单例(基于 worker 配置)。"""
global _resolver
if _resolver is not None:
return _resolver
with _resolver_lock:
if _resolver is not None:
return _resolver
try:
from worker_app.core.config import get_settings
settings = get_settings()
redis_url = getattr(settings, "redis_url", None) or getattr(settings, "broker_url", None)
default = getattr(settings, "render_engine", ENGINE_LEGACY)
_resolver = RenderEngineResolver(
default_engine=default,
redis_url=redis_url,
)
logger.info(
"RenderEngineResolver initialized: default=%s, redis=%s",
default,
bool(redis_url),
)
except Exception as exc:
logger.warning("Failed to init RenderEngineResolver from settings: %s", exc)
_resolver = RenderEngineResolver(default_engine=ENGINE_LEGACY)
return _resolver
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@@ -0,0 +1,821 @@
"""
视频合成服务
支持多种剪辑模式和转场效果,包含完整的安全校验
"""
import logging
import os
import subprocess
import tempfile
from dataclasses import dataclass
from enum import Enum
try:
from enum import StrEnum
except ImportError:
class StrEnum(str, Enum): # type: ignore[no-redef]
"""Python 3.10 兼容的 StrEnum 回退实现。"""
pass
from pathlib import Path
from typing import Optional
from packages.domain.editing_mode import EditingMode
logger = logging.getLogger(__name__)
# ========== 安全常量 ==========
# 允许的输出目录白名单(使用环境变量或系统临时目录,避免硬编码 /tmp)
_VIDEO_OUTPUT_DIR = os.environ.get("VIDEO_OUTPUT_DIR", os.path.join(tempfile.gettempdir(), "video_output"))
ALLOWED_OUTPUT_DIRS = [_VIDEO_OUTPUT_DIR, "/var/app/rendered"]
# 允许的输入路径前缀白名单
ALLOWED_INPUT_PREFIXES = ("s3://", "oss://", "local://", "/var/storage/")
# 允许的转场效果白名单
ALLOWED_TRANSITIONS = {
"fade",
"slideleft",
"slideright",
"dissolve",
"wipeleft",
"wiperight",
"cut",
"slideup",
"slidedown",
}
# 转场效果映射
_XFADE_TRANSITION_MAP = {
"fade": "fade",
"slideleft": "slideleft",
"slideright": "slideright",
"dissolve": "dissolve",
"wipeleft": "wipeleft",
"wiperight": "wiperight",
"cut": "cut",
"slideup": "slideup",
"slidedown": "slidedown",
}
class VideoComposeError(Exception):
"""视频合成服务异常"""
pass
class PIPPosition(StrEnum):
"""画中画位置枚举"""
TOP_LEFT = "top_left"
TOP_RIGHT = "top_right"
BOTTOM_LEFT = "bottom_left"
BOTTOM_RIGHT = "bottom_right"
@dataclass
class Clip:
"""视频片段"""
asset_id: str # 资源ID,对应输入路径
start_time: float = 0.0
duration: float = 0.0
transition: str = "fade" # 转场效果
@dataclass
class EditingModeConfig:
"""剪辑模式配置"""
mode: EditingMode
output_width: int = 1280
output_height: int = 720
output_fps: int = 25
pip_position: PIPPosition = PIPPosition.TOP_RIGHT
pip_scale: float = 0.25 # 画中画占主画面的比例
transition_duration: float = 0.5 # 转场时长(秒)
output_codec: str = "libx264"
output_preset: str = "medium"
output_crf: int = 23
class VideoComposeService:
"""视频合成服务"""
def __init__(self, config: EditingModeConfig, work_dir: Optional[str] = None):
"""
初始化视频合成服务
Args:
config: 剪辑模式配置
work_dir: 工作目录,默认使用系统临时目录
"""
self.config = config
self.work_dir = work_dir or tempfile.gettempdir()
self._ffmpeg_bin = "ffmpeg"
self._ffprobe_bin = "ffprobe"
def _validate_output_path(self, path: str) -> str:
"""
校验输出路径是否在允许范围内 (P0 修复)
防止路径穿越攻击,如 /app/config/../../../etc/passwd
Args:
path: 用户提供的输出路径
Returns:
标准化后的绝对路径
Raises:
ValueError: 路径不在允许范围内
"""
abs_path = os.path.abspath(path)
for allowed_dir in ALLOWED_OUTPUT_DIRS:
allowed_abs = os.path.abspath(allowed_dir)
if abs_path.startswith(allowed_abs):
return abs_path
raise ValueError(f"输出路径不在允许范围内: {path}")
def _validate_input_path(self, path: str) -> bool:
"""
校验输入路径格式是否合法 (P1-1 修复)
Args:
path: 输入文件路径
Returns:
是否合法
"""
return any(path.startswith(prefix) for prefix in ALLOWED_INPUT_PREFIXES)
def _validate_transition(self, transition: str) -> str:
"""
校验转场效果是否在白名单内 (P1-2 修复)
Args:
transition: 转场效果名称
Returns:
安全的转场效果名称
"""
if transition not in ALLOWED_TRANSITIONS:
logger.warning(f"未知的转场效果 '{transition}',使用默认 'fade'")
return "fade"
return transition
def _get_validated_transition(self, transition: str) -> str:
"""获取白名单校验后的转场效果名称"""
return _XFADE_TRANSITION_MAP.get(self._validate_transition(transition), "fade")
def compose(self, clips: list[Clip], output_path: Optional[str] = None) -> str:
"""
合成视频
Args:
clips: 视频片段列表,每个片段包含 asset_id 和转场配置
output_path: 输出文件路径
Returns:
输出文件路径
"""
if not clips:
raise ValueError("clips 不能为空")
# P1-1: 校验所有输入路径
for clip in clips:
if not self._validate_input_path(clip.asset_id):
raise ValueError(f"不合法的输入路径: {clip.asset_id}")
# 生成默认输出路径并校验
if output_path is None:
output_path = self._generate_output_path()
# P0: 校验输出路径
validated_output = self._validate_output_path(output_path)
logger.info(f"合成视频,片段数: {len(clips)}, 输出: {validated_output}")
# 获取输入路径列表
input_paths = [clip.asset_id for clip in clips]
try:
if self.config.mode == EditingMode.ONE_TAKE:
return self._one_take(input_paths, validated_output, clips)
elif self.config.mode == EditingMode.PIP:
return self._pip(input_paths, validated_output)
elif self.config.mode == EditingMode.VOICE_OVER:
return self._voice_over(input_paths, validated_output)
elif self.config.mode == EditingMode.VOICE_PIP:
return self._voice_pip(input_paths, validated_output)
else:
raise ValueError(f"不支持的剪辑模式: {self.config.mode}")
except Exception as e:
logger.error(f"视频合成失败: {e}")
raise VideoComposeError(f"视频合成失败: {e}") from e
def _generate_output_path(self) -> str:
"""生成输出文件路径"""
os.makedirs(self.work_dir, exist_ok=True)
return os.path.join(self.work_dir, f"output_{self.config.mode}_{os.getpid()}.mp4")
def _validate_inputs(self, video_paths: list[str], audio_path: Optional[str] = None) -> None:
"""验证输入文件存在"""
for path in video_paths:
if not os.path.exists(path):
raise FileNotFoundError(f"视频文件不存在: {path}")
if not os.path.getsize(path) > 0:
raise ValueError(f"视频文件为空: {path}")
if audio_path and not os.path.exists(audio_path):
raise FileNotFoundError(f"音频文件不存在: {audio_path}")
def _run_ffmpeg(self, command: list[str], capture_output: bool = True) -> tuple:
"""执行 FFmpeg 命令"""
logger.debug(f"Running FFmpeg: {' '.join(command)}")
try:
result = subprocess.run(
command,
check=True,
stdout=subprocess.PIPE if capture_output else None,
stderr=subprocess.PIPE if capture_output else None,
text=capture_output,
)
return result.stdout or "", result.stderr or ""
except subprocess.CalledProcessError as e:
stderr = e.stderr.decode() if e.stderr else str(e)
logger.error(f"FFmpeg error: {stderr}")
raise RuntimeError(f"FFmpeg 执行失败: {stderr}") from e
def _get_video_info(self, video_path: str) -> dict:
"""获取视频信息"""
try:
result = subprocess.run(
[
self._ffprobe_bin,
"-v",
"error",
"-show_entries",
"stream=width,height,r_frame_rate,duration,codec_name",
"-show_entries",
"format=duration,size",
"-of",
"json",
video_path,
],
check=True,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
text=True,
)
import json
data = json.loads(result.stdout)
streams = data.get("streams", [{}])
video_stream = next((s for s in streams if s.get("codec_type") == "video"), streams[0] if streams else {})
fmt = data.get("format", {})
fps_str = video_stream.get("r_frame_rate", "25/1")
fps_parts = fps_str.split("/")
fps = float(fps_parts[0]) / float(fps_parts[1]) if len(fps_parts) == 2 else float(fps_parts[0])
return {
"width": int(video_stream.get("width", 0)),
"height": int(video_stream.get("height", 0)),
"fps": fps,
"duration": float(fmt.get("duration", 0)),
"codec": video_stream.get("codec_name", "unknown"),
"size": int(fmt.get("size", 0)),
}
except Exception as e:
logger.warning(f"获取视频信息失败 {video_path}: {e}")
return {"width": 0, "height": 0, "fps": 25, "duration": 0, "codec": "unknown", "size": 0}
def _get_pip_position_offset(
self, main_width: int, main_height: int, pip_width: int, pip_height: int
) -> tuple[int, int]:
"""获取画中画位置偏移量"""
margin = 10
position_offsets = {
PIPPosition.TOP_LEFT: (margin, margin),
PIPPosition.TOP_RIGHT: (main_width - pip_width - margin, margin),
PIPPosition.BOTTOM_LEFT: (margin, main_height - pip_height - margin),
PIPPosition.BOTTOM_RIGHT: (main_width - pip_width - margin, main_height - pip_height - margin),
}
return position_offsets.get(self.config.pip_position, position_offsets[PIPPosition.TOP_RIGHT])
def _normalize_video(self, input_path: str, output_path: str) -> dict:
"""标准化视频格式"""
command = [
self._ffmpeg_bin,
"-y",
"-i",
input_path,
"-r",
str(self.config.output_fps),
"-vf",
f"scale={self.config.output_width}:{self.config.output_height}:force_original_aspect_ratio=decrease,pad={self.config.output_width}:{self.config.output_height}:(ow-iw)/2:(oh-ih)/2,setsar=1",
"-r",
str(self.config.output_fps),
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
"-movflags",
"+faststart",
"-an",
output_path,
]
self._run_ffmpeg(command)
return self._get_video_info(output_path)
def _one_take(self, video_paths: list[str], output_path: str, clips: list[Clip]) -> str:
"""一镜到底模式"""
if len(video_paths) == 1:
return self._normalize_video(video_paths[0], output_path)
normalized_paths = []
for i, path in enumerate(video_paths):
normalized = os.path.join(self.work_dir, f"normalized_{i}_{os.getpid()}.mp4")
self._normalize_video(path, normalized)
normalized_paths.append(normalized)
durations = [self._get_video_info(p)["duration"] for p in normalized_paths]
if len(normalized_paths) <= 5:
output_path = self._one_take_with_xfade(normalized_paths, durations, output_path, clips)
else:
output_path = self._one_take_simple_concat(normalized_paths, output_path)
for p in normalized_paths:
try:
if p != output_path:
os.remove(p)
except Exception as e:
logger.warning(
f"Operation failed in apps/worker/video_processing/video_compose_service.py: {e}", exc_info=True
)
return output_path
def _one_take_with_xfade(
self, normalized_paths: list[str], durations: list[float], output_path: str, clips: list[Clip]
) -> str:
"""使用 xfade 滤镜实现转场 (P1-2: 转场参数白名单校验)"""
if len(normalized_paths) == 2:
# 获取当前片段的转场效果并校验白名单
transition = "fade"
if len(clips) > 1:
transition = self._get_validated_transition(clips[1].transition)
trans_duration = self.config.transition_duration
offset1 = durations[0] - trans_duration / 2
command = [
self._ffmpeg_bin,
"-y",
"-i",
normalized_paths[0],
"-i",
normalized_paths[1],
"-filter_complex",
f"[0:v][1:v]xfade=transition={transition}:duration={trans_duration}:offset={offset1}[v]",
"-map",
"[v]",
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
output_path,
]
self._run_ffmpeg(command)
return output_path
else:
return self._one_take_simple_concat(normalized_paths, output_path)
def _one_take_simple_concat(self, normalized_paths: list[str], output_path: str) -> str:
"""使用 concat demuxer 简单拼接"""
concat_file = os.path.join(self.work_dir, f"concat_list_{os.getpid()}.txt")
with open(concat_file, "w") as f:
for path in normalized_paths:
f.write(f"file '{os.path.abspath(path)}'\n")
command = [
self._ffmpeg_bin,
"-y",
"-f",
"concat",
"-safe",
"0",
"-i",
concat_file,
"-c",
"copy",
output_path,
]
self._run_ffmpeg(command)
try:
os.remove(concat_file)
except Exception as e:
logger.warning(
f"Operation failed in apps/worker/video_processing/video_compose_service.py: {e}", exc_info=True
)
return output_path
def _pip(self, video_paths: list[str], output_path: str) -> str:
"""画中画模式"""
if not video_paths:
raise ValueError("No video paths provided")
main_video = video_paths[0]
main_normalized = os.path.join(self.work_dir, f"main_{os.getpid()}.mp4")
main_info = self._normalize_video(main_video, main_normalized)
if len(video_paths) == 1:
os.rename(main_normalized, output_path)
return output_path
pip_width = int(self.config.output_width * self.config.pip_scale)
pip_height = int(self.config.output_height * self.config.pip_scale)
x_offset, y_offset = self._get_pip_position_offset(
self.config.output_width, self.config.output_height, pip_width, pip_height
)
pip_normalized = os.path.join(self.work_dir, f"pip_{os.getpid()}.mp4")
pip_info = self._get_video_info(video_paths[1])
if pip_info["duration"] > main_info["duration"]:
temp_pip = os.path.join(self.work_dir, f"pip_temp_{os.getpid()}.mp4")
command = [
self._ffmpeg_bin,
"-y",
"-i",
video_paths[1],
"-t",
str(main_info["duration"]),
"-vf",
f"scale={pip_width}:{pip_height}",
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
temp_pip,
]
self._run_ffmpeg(command)
pip_normalized_input = temp_pip
else:
command = [
self._ffmpeg_bin,
"-y",
"-i",
video_paths[1],
"-vf",
f"scale={pip_width}:{pip_height}",
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
pip_normalized,
]
self._run_ffmpeg(command)
pip_normalized_input = pip_normalized
if main_info["duration"] > pip_info["duration"]:
looped_pip = os.path.join(self.work_dir, f"pip_looped_{os.getpid()}.mp4")
command = [
self._ffmpeg_bin,
"-y",
"-stream_loop",
"-1",
"-i",
pip_normalized_input,
"-t",
str(main_info["duration"]),
"-vf",
f"scale={pip_width}:{pip_height}",
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
looped_pip,
]
self._run_ffmpeg(command)
pip_normalized_input = looped_pip
command = [
self._ffmpeg_bin,
"-y",
"-i",
main_normalized,
"-i",
pip_normalized_input,
"-filter_complex",
f"[0:v][1:v]overlay={x_offset}:{y_offset}[v]",
"-map",
"[v]",
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
output_path,
]
self._run_ffmpeg(command)
for temp_file in [main_normalized, pip_normalized]:
if temp_file and temp_file != output_path:
try:
os.remove(temp_file)
except Exception as e:
logger.warning(
f"Operation failed in apps/worker/video_processing/video_compose_service.py: {e}", exc_info=True
)
return output_path
def _voice_over(self, video_paths: list[str], audio_path: str, output_path: str) -> str:
"""口播模式"""
if not audio_path:
raise ValueError("audio_path is required for VOICE_OVER mode")
if not video_paths:
raise ValueError("No background video provided")
audio_info = self._get_video_info(audio_path)
audio_duration = audio_info["duration"]
bg_normalized = os.path.join(self.work_dir, f"bg_{os.getpid()}.mp4")
bg_info = self._normalize_video(video_paths[0], bg_normalized)
if bg_info["duration"] < audio_duration:
looped_bg = os.path.join(self.work_dir, f"bg_looped_{os.getpid()}.mp4")
command = [
self._ffmpeg_bin,
"-y",
"-stream_loop",
"-1",
"-i",
bg_normalized,
"-t",
str(audio_duration),
"-vf",
f"scale={self.config.output_width}:{self.config.output_height}",
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
looped_bg,
]
self._run_ffmpeg(command)
bg_normalized = looped_bg
elif bg_info["duration"] > audio_duration:
temp_bg = os.path.join(self.work_dir, f"bg_trimmed_{os.getpid()}.mp4")
command = [
self._ffmpeg_bin,
"-y",
"-i",
bg_normalized,
"-t",
str(audio_duration),
"-c:v",
"copy",
temp_bg,
]
self._run_ffmpeg(command)
bg_normalized = temp_bg
blurred_bg = os.path.join(self.work_dir, f"bg_blurred_{os.getpid()}.mp4")
command = [
self._ffmpeg_bin,
"-y",
"-i",
bg_normalized,
"-vf",
f"boxblur=5:5,scale={self.config.output_width}:{self.config.output_height}",
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
blurred_bg,
]
self._run_ffmpeg(command)
command = [
self._ffmpeg_bin,
"-y",
"-i",
blurred_bg,
"-i",
audio_path,
"-filter_complex",
"[0:v]drawbox=x=0:y=0:w=iw:h=ih:color=black@0.3:t=fill[v]",
"-map",
"[v]",
"-map",
"1:a",
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
"-shortest",
output_path,
]
self._run_ffmpeg(command)
for temp_file in [bg_normalized, blurred_bg]:
try:
if temp_file != output_path:
os.remove(temp_file)
except Exception as e:
logger.warning(
f"Operation failed in apps/worker/video_processing/video_compose_service.py: {e}", exc_info=True
)
return output_path
def _voice_pip(self, video_paths: list[str], audio_path: Optional[str], output_path: str) -> str:
"""口播+画中画模式"""
if not video_paths:
raise ValueError("No video paths provided")
if len(video_paths) == 1:
return self._normalize_video(video_paths[0], output_path)
voice_video = video_paths[0]
bg_video = video_paths[1] if len(video_paths) > 1 else video_paths[0]
voice_normalized = os.path.join(self.work_dir, f"voice_{os.getpid()}.mp4")
voice_info = self._normalize_video(voice_video, voice_normalized)
bg_normalized = os.path.join(self.work_dir, f"bg_{os.getpid()}.mp4")
bg_info = self._normalize_video(bg_video, bg_normalized)
final_duration = min(voice_info["duration"], bg_info["duration"])
pip_width = int(self.config.output_width * self.config.pip_scale)
pip_height = int(self.config.output_height * self.config.pip_scale)
x_offset, y_offset = self._get_pip_position_offset(
self.config.output_width, self.config.output_height, pip_width, pip_height
)
voice_adjusted = os.path.join(self.work_dir, f"voice_adj_{os.getpid()}.mp4")
command = [
self._ffmpeg_bin,
"-y",
"-i",
voice_normalized,
"-t",
str(final_duration),
"-vf",
f"scale={pip_width}:{pip_height}",
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
voice_adjusted,
]
self._run_ffmpeg(command)
bg_adjusted = os.path.join(self.work_dir, f"bg_adj_{os.getpid()}.mp4")
command = [
self._ffmpeg_bin,
"-y",
"-i",
bg_normalized,
"-t",
str(final_duration),
"-c:v",
"copy",
bg_adjusted,
]
self._run_ffmpeg(command)
if audio_path:
command = [
self._ffmpeg_bin,
"-y",
"-i",
bg_adjusted,
"-i",
voice_adjusted,
"-i",
audio_path,
"-filter_complex",
f"[0:v][1:v]overlay={x_offset}:{y_offset}[v]",
"-map",
"[v]",
"-map",
"2:a",
"-shortest",
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
output_path,
]
else:
command = [
self._ffmpeg_bin,
"-y",
"-i",
bg_adjusted,
"-i",
voice_adjusted,
"-filter_complex",
f"[0:v][1:v]overlay={x_offset}:{y_offset}[v]",
"-map",
"[v]",
"-map",
"1:a",
"-shortest",
"-c:v",
self.config.output_codec,
"-preset",
self.config.output_preset,
"-crf",
str(self.config.output_crf),
"-pix_fmt",
"yuv420p",
output_path,
]
self._run_ffmpeg(command)
for temp_file in [voice_normalized, voice_adjusted, bg_normalized, bg_adjusted]:
try:
if temp_file != output_path:
os.remove(temp_file)
except Exception as e:
logger.warning(
f"Operation failed in apps/worker/video_processing/video_compose_service.py: {e}", exc_info=True
)
return output_path
def create_compose_service(mode: str, work_dir: Optional[str] = None, **kwargs) -> VideoComposeService:
"""便捷工厂函数:创建视频合成服务"""
try:
editing_mode = EditingMode(mode)
except ValueError:
raise ValueError(f"无效的剪辑模式: {mode}. 有效模式: {[m.value for m in EditingMode]}")
config = EditingModeConfig(
mode=editing_mode,
output_width=kwargs.get("output_width", 1280),
output_height=kwargs.get("output_height", 720),
output_fps=kwargs.get("output_fps", 25),
pip_position=PIPPosition(kwargs.get("pip_position", "top_right")),
pip_scale=kwargs.get("pip_scale", 0.25),
transition_duration=kwargs.get("transition_duration", 0.5),
)
return VideoComposeService(config=config, work_dir=work_dir)
-3
View File
@@ -18,9 +18,6 @@ class WorkerSettings(BaseSettings):
environment: str = "development"
auto_create_schema: bool = False
# 渲染引擎选择:legacy=旧VideoComposeServiceunified=新UnifiedRenderService
render_engine: str = "legacy"
model_config = SettingsConfigDict(
env_file=".env",
env_file_encoding="utf-8",
+65 -155
View File
@@ -39,10 +39,6 @@ def _get_job_service():
def compose_video(self, job_id: str, **kwargs):
"""视频合成任务。
根据 RENDER_ENGINE 配置选择渲染引擎:
- legacy: 旧 VideoComposeServicefilter_complex 模式)
- unified: 新 UnifiedRenderService(图层架构)
Args:
job_id: JobService 中的任务 ID
**kwargs: 来自 Job.payload 的额外参数(plan_id, output_path 等)
@@ -60,18 +56,66 @@ def compose_video(self, job_id: str, **kwargs):
job_service.fail_job(job_id, "Missing plan_id in job payload")
return {"status": "error", "message": "Missing plan_id"}
# 判断使用哪个渲染引擎
# 优先级:Redis Feature Flag(白名单 > 百分比) > 环境变量默认
from video_processing.render_engine_resolver import get_render_engine_resolver
# 标记为 running
job_service.update_progress(job_id, progress=10.0, current_stage="初始化合成环境")
resolver = get_render_engine_resolver()
user_id = job.created_by_user_id or None
engine = resolver.get_engine(user_id=user_id)
# 延迟导入 VideoComposeService
from apps.api.app.services.video_compose_service import VideoComposeService
if engine == "unified":
return _compose_with_unified_engine(self, job_service, job, plan_id, db)
else:
return _compose_with_legacy_engine(self, job_service, job, plan_id, db)
compose_svc = VideoComposeService(db)
# 校验合成条件
job_service.update_progress(job_id, progress=20.0, current_stage="校验合成条件")
validation = compose_svc.validate_compose(plan_id)
if not validation.valid:
error_msg = "; ".join(validation.errors)
job_service.fail_job(job_id, f"合成校验失败: {error_msg}")
return {"status": "error", "message": error_msg}
# 构建合成命令
job_service.update_progress(job_id, progress=30.0, current_stage="构建 FFmpeg 命令")
_output_dir = os.environ.get("VIDEO_OUTPUT_DIR", os.path.join(tempfile.gettempdir(), "video_output"))
output_path = os.path.join(_output_dir, f"{job_id}.mp4")
compose_cmd = compose_svc.build_compose_command(plan_id, output_path)
# 执行 FFmpeg
job_service.update_progress(job_id, progress=50.0, current_stage="正在执行视频合成")
logger.info("Executing FFmpeg for job %s, plan %s", job_id, plan_id)
try:
subprocess.run(
compose_cmd.command,
check=True,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
text=True,
timeout=3600,
)
except subprocess.CalledProcessError as e:
job_service.fail_job(job_id, f"FFmpeg 执行失败: {e.stderr[:500]}")
raise
# 上传结果
job_service.update_progress(job_id, progress=80.0, current_stage="上传合成结果")
storage_key = f"rendered/{plan_id}/{job_id}.mp4"
from worker_app.tasks.edit_plan_generation import _upload_to_oss
output_url = _upload_to_oss(Path(output_path), storage_key)
# 更新 Job 状态为完成
result_data = {
"plan_id": plan_id,
"output_path": output_path,
"storage_key": storage_key,
"output_url": output_url or "",
"estimated_duration": compose_cmd.estimated_duration,
"clip_count": len(compose_cmd.clip_chains),
}
job_service.complete_job(job_id, result=result_data)
logger.info("视频合成完成: job_id=%s, plan_id=%s", job_id, plan_id)
return {"status": "completed", "job_id": job_id, "result": result_data}
except self.retry_exc as exc:
logger.warning("视频合成重试中: job_id=%s, exc=%s", job_id, exc)
@@ -85,145 +129,11 @@ def compose_video(self, job_id: str, **kwargs):
raise self.retry(exc=exc, countdown=60)
finally:
db.close()
def _compose_with_legacy_engine(task, job_service, job, plan_id: str, db) -> dict:
"""旧引擎渲染路径(VideoComposeService)。"""
job_id = job.id
# 标记为 running
job_service.update_progress(job_id, progress=10.0, current_stage="初始化合成环境")
# 延迟导入 VideoComposeService
from apps.api.app.services.video_compose_service import VideoComposeService
compose_svc = VideoComposeService(db)
# 校验合成条件
job_service.update_progress(job_id, progress=20.0, current_stage="校验合成条件")
validation = compose_svc.validate_compose(plan_id)
if not validation.valid:
error_msg = "; ".join(validation.errors)
job_service.fail_job(job_id, f"合成校验失败: {error_msg}")
return {"status": "error", "message": error_msg}
# 构建合成命令
job_service.update_progress(job_id, progress=30.0, current_stage="构建 FFmpeg 命令")
_output_dir = os.environ.get("VIDEO_OUTPUT_DIR", os.path.join(tempfile.gettempdir(), "video_output"))
output_path = os.path.join(_output_dir, f"{job_id}.mp4")
compose_cmd = compose_svc.build_compose_command(plan_id, output_path)
# 执行 FFmpeg
job_service.update_progress(job_id, progress=50.0, current_stage="正在执行视频合成")
logger.info("Executing FFmpeg for job %s, plan %s", job_id, plan_id)
try:
subprocess.run(
compose_cmd.command,
check=True,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
text=True,
timeout=3600,
)
except subprocess.CalledProcessError as e:
job_service.fail_job(job_id, f"FFmpeg 执行失败: {e.stderr[:500]}")
raise
# 上传结果
job_service.update_progress(job_id, progress=80.0, current_stage="上传合成结果")
storage_key = f"rendered/{plan_id}/{job_id}.mp4"
from worker_app.tasks.edit_plan_generation import _upload_to_oss
output_url = _upload_to_oss(Path(output_path), storage_key)
# 更新 Job 状态为完成
result_data = {
"plan_id": plan_id,
"output_path": output_path,
"storage_key": storage_key,
"output_url": output_url or "",
"estimated_duration": compose_cmd.estimated_duration,
"clip_count": len(compose_cmd.clip_chains),
"engine": "legacy",
}
job_service.complete_job(job_id, result=result_data)
logger.info("视频合成完成(legacy): job_id=%s, plan_id=%s", job_id, plan_id)
return {"status": "completed", "job_id": job_id, "result": result_data}
def _compose_with_unified_engine(task, job_service, job, plan_id: str, db) -> dict:
"""新引擎渲染路径(UnifiedRenderService + RenderAdapter)。"""
job_id = job.id
# 标记为 running
job_service.update_progress(job_id, progress=10.0, current_stage="初始化统一渲染引擎")
from video_processing.render_adapter import RenderAdapter
adapter = RenderAdapter(db)
# 校验合成条件
job_service.update_progress(job_id, progress=15.0, current_stage="校验合成条件")
valid, errors, warnings, ready_count, total_count = adapter.validate_plan(plan_id)
if not valid:
error_msg = "; ".join(errors)
job_service.fail_job(job_id, f"合成校验失败: {error_msg}")
return {"status": "error", "message": error_msg}
# 进度回调
def progress_cb(progress: float, stage: str) -> None:
# 清理临时文件
try:
job_service.update_progress(job_id, progress=progress, current_stage=stage)
except Exception:
logger.exception("更新进度失败")
# 执行渲染
job_service.update_progress(job_id, progress=20.0, current_stage="开始渲染")
logger.info("统一渲染引擎开始: job_id=%s plan_id=%s", job_id, plan_id)
result = adapter.render_plan(
plan_id=plan_id,
job_id=job_id,
progress_cb=progress_cb,
)
if not result.success:
job_service.fail_job(job_id, f"渲染失败: {result.error_message}")
raise RuntimeError(result.error_message)
# 更新 Job 状态为完成
result_data = {
"plan_id": plan_id,
"output_path": str(result.output_path) if result.output_path else "",
"storage_key": f"rendered/{plan_id}/{job_id}.mp4",
"output_url": result.output_url,
"estimated_duration": result.duration,
"clip_count": result.clip_count,
"engine": "unified",
"width": result.width,
"height": result.height,
"file_size": result.file_size,
}
job_service.complete_job(job_id, result=result_data)
logger.info(
"视频合成完成(unified): job_id=%s plan_id=%s duration=%.2fs",
job_id,
plan_id,
result.duration,
)
return {"status": "completed", "job_id": job_id, "result": result_data}
def _cleanup_output(job_id: str) -> None:
"""清理临时输出文件。"""
try:
_output_dir = os.environ.get("VIDEO_OUTPUT_DIR", os.path.join(tempfile.gettempdir(), "video_output"))
output_path = os.path.join(_output_dir, f"{job_id}.mp4")
if Path(output_path).exists():
Path(output_path).unlink()
except Exception as e:
logger.warning(f"清理输出文件失败: {e}", exc_info=True)
_output_dir = os.environ.get("VIDEO_OUTPUT_DIR", os.path.join(tempfile.gettempdir(), "video_output"))
output_path = os.path.join(_output_dir, f"{job_id}.mp4")
if Path(output_path).exists():
Path(output_path).unlink()
except Exception as e:
logger.warning(f"Operation failed in apps/worker/worker_app/tasks/compose_video.py: {e}", exc_info=True)
+220 -347
View File
@@ -1,46 +1,179 @@
"""剪辑计划渲染任务 — 支持 Feature Flag 灰度.
"""剪辑计划渲染任务 — Phase 8 任务 2.05.
Celery 任务 worker.render_edit_plan:
1. 加载 EditPlan + EditPlanClips
2. 根据 Feature Flag 选择渲染引擎(legacy / unified
3. 下载各片段素材 + 渲染
2. 下载各片段素材
3. 按 order 顺序拼接片段
4. 上传渲染结果到 OSS
5. 创建 GeneratedVideo 记录 + 查重
6. 更新 EditPlan / EditPlanClip 状态
7. 更新 GenerationTask 进度
渲染引擎灰度:
- 走 Feature Flag (render_engine) 控制
- legacy: VideoComposeService + FFmpeg filter_complex
- unified: UnifiedRenderService 图层架构
5. 更新 EditPlan / EditPlanClip 状态
6. 更新 GenerationTask 进度
"""
from __future__ import annotations
import logging
import os
import shutil
import subprocess # nosec B404
import tempfile
from datetime import datetime, timezone
from pathlib import Path
from typing import Optional
from urllib.parse import urlparse
import oss2
from worker_app.celery_app import celery_app
from worker_app.db import SessionLocal
logger = logging.getLogger(__name__)
FFMPEG_BIN = shutil.which("ffmpeg") or "ffmpeg"
FFPROBE_BIN = shutil.which("ffprobe") or "ffprobe"
OUTPUT_WIDTH = 1280
OUTPUT_HEIGHT = 720
OUTPUT_FPS = 25.0
# ── 共享工具模块导入 ──────────────────────────────────────────────────────────
# ── OSS helpers ───────────────────────────────────────────────────────────────
def _oss_settings() -> tuple[str, str, str, str] | None:
"""获取 OSS 配置"""
access_key_id = os.getenv("OSS_ACCESS_KEY_ID")
access_key_secret = os.getenv("OSS_ACCESS_KEY_SECRET")
endpoint = os.getenv("OSS_ENDPOINT")
bucket_name = os.getenv("OSS_BUCKET_NAME")
if not all([access_key_id, access_key_secret, endpoint, bucket_name]):
return None
return access_key_id, access_key_secret, endpoint, bucket_name
def _oss_bucket() -> oss2.Bucket | None:
"""获取 OSS Bucket"""
settings = _oss_settings()
if settings is None:
return None
access_key_id, access_key_secret, endpoint, bucket_name = settings
return oss2.Bucket(oss2.Auth(access_key_id, access_key_secret), endpoint, bucket_name)
def _normalize_storage_key(storage_key_or_url: str) -> str:
"""标准化存储键"""
if storage_key_or_url.startswith(("http://", "https://")):
return urlparse(storage_key_or_url).path.lstrip("/")
return storage_key_or_url.lstrip("/")
def _download_asset(asset_storage_key: str, local_path: Path) -> bool:
"""下载素材文件到本地"""
bucket = _oss_bucket()
if bucket is None:
return False
try:
bucket.get_object_to_file(_normalize_storage_key(asset_storage_key), str(local_path))
return local_path.exists() and local_path.stat().st_size > 0
except Exception:
logger.exception("下载素材失败: %s", asset_storage_key)
return False
def _upload_to_oss(local_path: Path, storage_key: str) -> str | None:
"""上传文件到 OSS,返回公开 URL"""
bucket = _oss_bucket()
if bucket is None:
return None
try:
bucket.put_object_from_file(storage_key, str(local_path))
settings = _oss_settings()
if settings:
_, _, endpoint, bucket_name = settings
return f"https://{bucket_name}.{endpoint.replace('https://', '').replace('http://', '')}/{storage_key}"
return None
except Exception:
logger.exception("上传 OSS 失败: %s", storage_key)
return None
# ── FFmpeg helpers ────────────────────────────────────────────────────────────
def _run_ffmpeg(command: list[str]) -> None:
"""执行 FFmpeg 命令"""
subprocess.run(command, check=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True) # nosec B603
def _probe_duration(local_path: Path) -> float:
"""获取视频/音频时长"""
try:
result = subprocess.run( # nosec B603
[
FFPROBE_BIN,
"-v",
"error",
"-show_entries",
"format=duration",
"-of",
"default=noprint_wrappers=1:nokey=1",
str(local_path),
],
check=True,
capture_output=True,
text=True,
)
return float(result.stdout.strip())
except Exception:
return 0.0
def _concatenate_clips(
clip_paths: list[Path],
output_path: Path,
transition_effects: list[str] | None = None,
) -> bool:
"""将多个片段拼接为最终视频
使用 FFmpeg concat demuxer 实现。
"""
if not clip_paths:
return False
if len(clip_paths) == 1:
# 单片段直接复制
try:
shutil.copy2(str(clip_paths[0]), str(output_path))
return True
except Exception:
return False
# 多片段:使用 concat demuxer
concat_file = output_path.parent / "concat_list.txt"
try:
with open(concat_file, "w") as f:
for p in clip_paths:
f.write(f"file '{p}'\n")
command = [
FFMPEG_BIN,
"-y",
"-f",
"concat",
"-safe",
"0",
"-i",
str(concat_file),
"-c",
"copy",
str(output_path),
]
_run_ffmpeg(command)
return output_path.exists() and output_path.stat().st_size > 0
except Exception:
logger.exception("拼接片段失败")
return False
finally:
if concat_file.exists():
concat_file.unlink()
from video_processing.dedup_helpers import create_video_record_and_dedup
from video_processing.oss_helpers import (
download_asset,
upload_to_oss,
)
from video_processing.unified_render_service import UnifiedRenderService
# ── Repository imports (延迟导入避免循环依赖) ─────────────────────────────────
@@ -68,277 +201,21 @@ def _get_repos():
# ── Celery Task ───────────────────────────────────────────────────────────────
def _resolve_render_engine(user_id: str) -> str:
"""根据 Feature Flag 决定使用哪个渲染引擎。
Returns:
"legacy""unified"
"""
try:
from video_processing.render_engine_resolver import get_render_engine_resolver
resolver = get_render_engine_resolver()
return resolver.get_engine(user_id=user_id)
except Exception as exc:
logger.warning("获取渲染引擎配置失败,fallback 到 legacy: %s", exc)
return "legacy"
def _mark_plan_failed(plan_repo, plan_id, gen_task_repo, generation_task_id, error_msg: str):
"""统一的计划失败标记工具。"""
plan = plan_repo.get(plan_id)
if plan and plan.status.value == "rendering":
plan.mark_failed()
plan_repo.update(plan)
if generation_task_id:
gen_task = gen_task_repo.get(generation_task_id)
if gen_task and gen_task.status.value != "failed":
gen_task.status = "failed"
gen_task.error_message = error_msg
gen_task.completed_at = datetime.now(timezone.utc)
gen_task_repo.update(gen_task)
def _finalize_render_success(
plan,
plan_repo,
clip_repo,
gen_task_repo,
db,
plan_id: str,
output_url: str,
storage_key: str,
duration: float,
file_size: int,
width: int,
height: int,
rendered_clip_ids: list[str],
failed_clip_ids: list[str],
generation_task_id: str,
output_path: Path,
engine: str,
) -> dict:
"""渲染成功后的统一收尾:查重 + 更新状态 + 返回结果。"""
# 创建 GeneratedVideo 记录 + 查重
project_id = plan.project_id or ""
batch_id = plan.config.get("batch_id", "")
mode = plan.config.get("mode", "edit_plan")
if generation_task_id and project_id:
try:
create_video_record_and_dedup(
generation_task_id=generation_task_id,
project_id=project_id,
batch_id=batch_id,
file_url=output_url or "",
file_size=file_size,
duration=duration,
video_path=str(output_path),
mode=mode,
session=db,
width=width,
height=height,
fps=OUTPUT_FPS,
)
except Exception as dedup_err:
logger.warning("查重失败(不影响渲染结果): %s", dedup_err)
# 更新片段状态为 rendered
for clip_id in rendered_clip_ids:
clip = clip_repo.get(clip_id)
if clip and clip.status.value == "ready":
clip.mark_rendered()
clip_repo.update(clip)
# 更新 EditPlan 状态为 completed
plan.config["rendered_url"] = output_url or ""
plan.config["rendered_storage_key"] = storage_key
plan.mark_completed()
plan_repo.update(plan)
# 更新 GenerationTask 状态为 completed
if generation_task_id:
gen_task = gen_task_repo.get(generation_task_id)
if gen_task:
gen_task.status = "completed"
gen_task.progress = 100.0
gen_task.result_count = len(rendered_clip_ids)
gen_task.completed_at = datetime.now(timezone.utc)
gen_task_repo.update(gen_task)
logger.info(
"剪辑计划渲染完成: plan_id=%s engine=%s rendered=%d failed=%d duration=%.1fs",
plan_id,
engine,
len(rendered_clip_ids),
len(failed_clip_ids),
duration,
)
return {
"status": "completed",
"plan_id": plan_id,
"rendered_count": len(rendered_clip_ids),
"failed_count": len(failed_clip_ids),
"output_url": output_url,
"duration": duration,
}
def _render_with_unified(
plan,
clips,
asset_path_map: dict[str, Path],
tmpdir_path: Path,
rendered_clip_ids: list[str],
plan_id: str,
generation_task_id: str,
plan_repo,
clip_repo,
gen_task_repo,
db,
) -> dict:
"""统一渲染引擎路径(UnifiedRenderService 图层架构)。"""
render_service = UnifiedRenderService(
plan=plan,
clips=clips,
asset_path_map=asset_path_map,
work_dir=tmpdir_path,
output_width=OUTPUT_WIDTH,
output_height=OUTPUT_HEIGHT,
output_fps=int(OUTPUT_FPS),
)
try:
render_result = render_service.render()
except Exception as render_err:
logger.error("渲染失败(unified): %s%s", plan_id, render_err)
_mark_plan_failed(plan_repo, plan_id, gen_task_repo, generation_task_id, f"渲染失败: {render_err}")
return {"status": "error", "message": f"渲染失败: {render_err}"}
output_path = render_result.output_path
# 上传到 OSS
storage_key = f"rendered/{plan_id}/output.mp4"
output_url = upload_to_oss(output_path, storage_key)
failed_clip_ids: list[str] = []
return _finalize_render_success(
plan=plan,
plan_repo=plan_repo,
clip_repo=clip_repo,
gen_task_repo=gen_task_repo,
db=db,
plan_id=plan_id,
output_url=output_url or "",
storage_key=storage_key,
duration=render_result.duration,
file_size=render_result.file_size,
width=render_result.width,
height=render_result.height,
rendered_clip_ids=rendered_clip_ids,
failed_clip_ids=failed_clip_ids,
generation_task_id=generation_task_id,
output_path=output_path,
engine="unified",
)
def _render_with_legacy(
plan,
clips,
rendered_clip_ids: list[str],
failed_clip_ids: list[str],
tmpdir_path: Path,
plan_id: str,
generation_task_id: str,
plan_repo,
clip_repo,
gen_task_repo,
db,
) -> dict:
"""旧引擎路径(VideoComposeService + FFmpeg filter_complex)。"""
import os
import subprocess
from apps.api.app.services.video_compose_service import VideoComposeService
compose_svc = VideoComposeService(db)
# 校验合成条件
validation = compose_svc.validate_compose(plan_id)
if not validation.valid:
error_msg = "; ".join(validation.errors)
logger.error("合成校验失败(legacy): %s%s", plan_id, error_msg)
_mark_plan_failed(plan_repo, plan_id, gen_task_repo, generation_task_id, f"合成校验失败: {error_msg}")
return {"status": "error", "message": error_msg}
# 构建 FFmpeg 命令
output_dir = os.environ.get("VIDEO_OUTPUT_DIR", str(tmpdir_path))
output_path = Path(output_dir) / f"{plan_id}.mp4"
compose_cmd = compose_svc.build_compose_command(plan_id, str(output_path))
logger.info("执行 FFmpeg (legacy): plan_id=%s", plan_id)
try:
subprocess.run(
compose_cmd.command,
check=True,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
text=True,
timeout=3600,
)
except subprocess.CalledProcessError as e:
error_msg = f"FFmpeg 执行失败: {e.stderr[:500]}"
logger.error("FFmpeg 执行失败(legacy): %s%s", plan_id, error_msg)
_mark_plan_failed(plan_repo, plan_id, gen_task_repo, generation_task_id, error_msg)
return {"status": "error", "message": error_msg}
# 获取文件大小
file_size = output_path.stat().st_size if output_path.exists() else 0
duration = compose_cmd.estimated_duration or 0.0
# 上传到 OSS
storage_key = f"rendered/{plan_id}/output.mp4"
output_url = upload_to_oss(output_path, storage_key)
return _finalize_render_success(
plan=plan,
plan_repo=plan_repo,
clip_repo=clip_repo,
gen_task_repo=gen_task_repo,
db=db,
plan_id=plan_id,
output_url=output_url or "",
storage_key=storage_key,
duration=duration,
file_size=file_size,
width=OUTPUT_WIDTH,
height=OUTPUT_HEIGHT,
rendered_clip_ids=rendered_clip_ids,
failed_clip_ids=failed_clip_ids,
generation_task_id=generation_task_id,
output_path=output_path,
engine="legacy",
)
@celery_app.task(name="worker.render_edit_plan", bind=True, max_retries=2)
def render_edit_plan(self, plan_id: str) -> dict:
"""渲染剪辑计划
流程:
1. 加载 EditPlan + EditPlanClips
2. 根据 Feature Flag 选择渲染引擎(legacy / unified
3. 下载素材 + 渲染
2. 下载各片段素材到临时目录
3. 按 order 顺序拼接片段
4. 上传渲染结果到 OSS
5. 创建 GeneratedVideo 记录 + 查重
6. 更新 EditPlan → completed, EditPlanClips → rendered
7. 更新 GenerationTask 进度
5. 更新 EditPlan → completed, EditPlanClips → rendered
6. 更新 GenerationTask 进度
"""
logger.info("开始渲染剪辑计划: plan_id=%s", plan_id)
generation_task_id = ""
engine = "legacy"
for repos in _get_repos():
plan_repo, clip_repo, gen_task_repo, db = repos
@@ -353,12 +230,7 @@ def render_edit_plan(self, plan_id: str) -> dict:
# 获取 generation_task_id(提前读取,确保 except 块可用)
generation_task_id = plan.config.get("generation_task_id", "")
# 2. 选择渲染引擎(Feature Flag 灰度控制
user_id = plan.created_by_user_id or ""
engine = _resolve_render_engine(user_id)
logger.info("剪辑计划渲染引擎: plan_id=%s engine=%s user_id=%s", plan_id, engine, user_id)
# 3. 加载片段列表(按 order 排序)
# 2. 加载片段列表(按 order 排序
clips = clip_repo.list_by_plan(plan_id, skip=0, limit=10000)
if not clips:
logger.warning("剪辑计划没有片段: %s", plan_id)
@@ -374,22 +246,13 @@ def render_edit_plan(self, plan_id: str) -> dict:
gen_task.started_at = datetime.now(timezone.utc)
gen_task_repo.update(gen_task)
# 3. 下载素材并构建 asset_path_map
# 3. 下载素材并拼接
with tempfile.TemporaryDirectory(prefix="edit_plan_") as tmpdir:
tmpdir_path = Path(tmpdir)
asset_path_map: dict[str, Path] = {}
clip_paths: list[Path] = []
rendered_clip_ids: list[str] = []
failed_clip_ids: list[str] = []
# 预先批量查询所有素材的 storage_keyfile_url
from packages.adapters.sqlalchemy_impl.models import AssetModel
clip_asset_ids = [c.asset_id for c in clips if c.asset_id]
asset_storage_map: dict[str, str] = {}
if clip_asset_ids:
assets = db.query(AssetModel).filter(AssetModel.id.in_(clip_asset_ids)).all()
asset_storage_map = {a.id: a.file_url for a in assets if a.file_url}
for clip in clips:
if not clip.asset_id:
# 没有素材的片段跳过,标记为失败
@@ -398,35 +261,18 @@ def render_edit_plan(self, plan_id: str) -> dict:
failed_clip_ids.append(clip.id)
continue
if clip.asset_id in asset_path_map:
# 同一素材已下载(多个 clip 共享同一素材)
rendered_clip_ids.append(clip.id)
continue
storage_key = asset_storage_map.get(clip.asset_id)
if not storage_key:
logger.warning(
"片段素材无 storage_key,跳过: clip_id=%s asset_id=%s",
clip.id,
clip.asset_id,
)
clip.mark_failed()
clip_repo.update(clip)
failed_clip_ids.append(clip.id)
continue
# 下载素材
ext = Path(storage_key).suffix or ".mp4"
ext = Path(clip.asset_id).suffix or ".mp4"
local_path = tmpdir_path / f"clip_{clip.order:04d}{ext}"
if download_asset(storage_key, local_path):
asset_path_map[clip.asset_id] = local_path
if _download_asset(clip.asset_id, local_path):
clip_paths.append(local_path)
rendered_clip_ids.append(clip.id)
else:
clip.mark_failed()
clip_repo.update(clip)
failed_clip_ids.append(clip.id)
if not asset_path_map:
if not clip_paths:
logger.error("所有片段素材下载失败: %s", plan_id)
plan.mark_failed()
plan_repo.update(plan)
@@ -439,38 +285,65 @@ def render_edit_plan(self, plan_id: str) -> dict:
gen_task_repo.update(gen_task)
return {"status": "error", "message": "所有片段素材下载失败"}
# 4. 根据引擎选择渲染方式
if engine == "unified":
result = _render_with_unified(
plan=plan,
clips=clips,
asset_path_map=asset_path_map,
tmpdir_path=tmpdir_path,
rendered_clip_ids=rendered_clip_ids,
plan_id=plan_id,
generation_task_id=generation_task_id,
plan_repo=plan_repo,
clip_repo=clip_repo,
gen_task_repo=gen_task_repo,
db=db,
)
else:
result = _render_with_legacy(
plan=plan,
clips=clips,
rendered_clip_ids=rendered_clip_ids,
failed_clip_ids=failed_clip_ids,
tmpdir_path=tmpdir_path,
plan_id=plan_id,
generation_task_id=generation_task_id,
plan_repo=plan_repo,
clip_repo=clip_repo,
gen_task_repo=gen_task_repo,
db=db,
)
# 4. 拼接片段
output_path = tmpdir_path / f"rendered_{plan_id}.mp4"
transition_effects = [c.transition_effect for c in clips if c.asset_id]
success = _concatenate_clips(clip_paths, output_path, transition_effects)
result["engine"] = engine
return result
if not success:
logger.error("片段拼接失败: %s", plan_id)
plan.mark_failed()
plan_repo.update(plan)
if generation_task_id:
gen_task = gen_task_repo.get(generation_task_id)
if gen_task:
gen_task.status = "failed"
gen_task.error_message = "片段拼接失败"
gen_task.completed_at = datetime.now(timezone.utc)
gen_task_repo.update(gen_task)
return {"status": "error", "message": "片段拼接失败"}
# 5. 上传到 OSS
storage_key = f"rendered/{plan_id}/output.mp4"
output_url = _upload_to_oss(output_path, storage_key)
# 6. 更新片段状态为 rendered
for clip_id in rendered_clip_ids:
clip = clip_repo.get(clip_id)
if clip and clip.status.value == "ready":
clip.mark_rendered()
clip_repo.update(clip)
# 7. 更新 EditPlan 状态为 completed
plan.config["rendered_url"] = output_url or ""
plan.config["rendered_storage_key"] = storage_key
plan.mark_completed()
plan_repo.update(plan)
# 8. 更新 GenerationTask 状态为 completed
if generation_task_id:
gen_task = gen_task_repo.get(generation_task_id)
if gen_task:
gen_task.status = "completed"
gen_task.progress = 100.0
gen_task.result_count = len(rendered_clip_ids)
gen_task.completed_at = datetime.now(timezone.utc)
gen_task_repo.update(gen_task)
logger.info(
"剪辑计划渲染完成: plan_id=%s rendered=%d failed=%d",
plan_id,
len(rendered_clip_ids),
len(failed_clip_ids),
)
return {
"status": "completed",
"plan_id": plan_id,
"rendered_count": len(rendered_clip_ids),
"failed_count": len(failed_clip_ids),
"output_url": output_url,
}
except Exception as exc:
logger.exception("渲染剪辑计划异常: %s", plan_id)
+253 -902
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File diff suppressed because it is too large Load Diff
+1 -4
View File
@@ -4,7 +4,6 @@ import logging
from celery import Task
from celery.exceptions import Retry
from video_processing.oss_helpers import get_signed_download_url
from worker_app.celery_app import celery_app
from worker_app.db import SessionLocal
@@ -49,9 +48,7 @@ def process_voice_clone(self: Task, profile_id: str) -> dict:
repo = SQLAlchemyVoiceCloneProfileRepository(session)
workflow = VoiceCloneWorkflowService(
repository=repo,
cosyvoice_service=CosyVoiceService(
audio_url_signer=lambda url: get_signed_download_url(url, expires_seconds=86400) or url
),
cosyvoice_service=CosyVoiceService(),
)
updated_profile = workflow.poll_and_process_clone(profile_id, timeout=300)
-235
View File
@@ -1,235 +0,0 @@
# CI 必需环境变量清单
> 本文档整理小虾 SaaS 项目中所有从环境变量读取的配置项,明确哪些是 CI 测试必须的、哪些是可选的。
> 最后更新:2026-07-09
## 目录
- [一、配置来源说明](#一配置来源说明)
- [二、CI 必需环境变量(P0](#二ci-必需环境变量p0)
- [三、可选环境变量(有默认值)](#三可选环境变量有默认值)
- [四、测试专用环境变量](#四测试专用环境变量)
- [五、Worker 服务环境变量](#五worker-服务环境变量)
- [六、当前 CI 配置对照](#六当前-ci-配置对照)
---
## 一、配置来源说明
项目的环境变量配置主要来自以下几处:
| 来源 | 文件路径 | 说明 |
|------|---------|------|
| API 主配置 | `apps/api/app/config.py` | pydantic `Settings` 类,API 服务核心配置 |
| Worker 配置 | `apps/worker/worker_app/core/config.py` | pydantic `WorkerSettings` 类,Worker 服务配置 |
| 共享配置 | `packages/shared/config.py` | pydantic `SharedSettings` 类,API + Worker 共享配置 |
| 直接读取 | 各模块中 `os.environ` / `os.getenv` | 散落在各业务模块中的直接读取 |
> **注意**pydantic-settings 配置默认 `case_sensitive=False`,即环境变量名不区分大小写,但习惯上使用大写。
---
## 二、CI 必需环境变量(P0
以下变量是 CI 运行测试**必须配置**的,缺失会导致测试启动失败或核心功能异常。
| 变量名 | 用途说明 | 默认值 | 影响范围 |
|--------|---------|--------|---------|
| `DATABASE_URL` | 数据库连接字符串 | `postgresql+psycopg://postgres:postgres@localhost:5432/xiaoxia_saas` | 集成测试、 Alembic 迁移验证 |
| `USE_IN_MEMORY_DB` | 是否使用内存数据库(SQLite) | `false` | 单元测试(设为 `true` 可跳过 PostgreSQL 依赖) |
| `JWT_SECRET_KEY` | JWT 签名密钥,**无安全默认值**,必须显式设置 | `None`(启动校验失败) | 所有涉及认证的 API 测试 |
> **说明**
> - 单元测试通过 `USE_IN_MEMORY_DB=true` 使用 SQLite 内存数据库,无需 PostgreSQL
> - 集成测试需要真实 PostgreSQL,需设置 `DATABASE_URL`
> - `JWT_SECRET_KEY` 在测试文件中通过 `os.environ.setdefault()` 设置了测试用默认值,CI 中可不额外配置,但生产环境必须配置
---
## 三、可选环境变量(有默认值)
以下变量都有合理的默认值,CI 中可以不配置,使用默认值即可。
### 3.1 应用基础配置
| 变量名 | 用途说明 | 默认值 |
|--------|---------|--------|
| `APP_NAME` | 应用名称 | `xiaoxia-saas` |
| `APP_VERSION` | 应用版本号 | `0.1.61` / `unknown` |
| `ENVIRONMENT` | 运行环境标识 | `development` |
| `DEBUG` | 是否开启调试模式 | `true` |
| `APP_BASE_URL` | 应用基础 URL(用于生成邮件链接等) | `http://localhost:3000` |
| `API_HOST` | API 服务绑定地址 | `0.0.0.0` |
| `API_PORT` | API 服务端口 | `8000` |
| `API_PREFIX` | API 路由前缀 | `/api/v1` |
| `APP_ENV` | 环境标识(用于加载 .env.{env} 文件) | `development` |
| `LOG_LEVEL` | 日志级别 | `INFO` |
### 3.2 数据库连接池配置
| 变量名 | 用途说明 | 默认值 |
|--------|---------|--------|
| `DATABASE_POOL_SIZE` | 连接池大小 | `20` |
| `DATABASE_MAX_OVERFLOW` | 最大溢出连接数 | `10` (API) / `40` (Worker) |
| `DATABASE_POOL_TIMEOUT` | 获取连接超时时间(秒) | `30` |
| `DATABASE_POOL_RECYLE` / `DATABASE_POOL_RECYCLE` | 连接回收时间(秒) | `3600` |
| `AUTO_CREATE_SCHEMA` | 是否自动创建表结构 | `false` |
### 3.3 Redis / Celery 配置
| 变量名 | 用途说明 | 默认值 |
|--------|---------|--------|
| `REDIS_URL` | Redis 连接地址 | `redis://localhost:6379/0` |
| `REDIS_MAX_CONNECTION` | Redis 最大连接数 | `50` |
| `ENABLE_REDIS_SESSIONS` | 是否启用 Redis 会话存储 | `false` |
| `CELERY_BROKER_URL` / `BROKER_URL` | Celery Broker 地址 | `redis://localhost:6379/0` |
| `CELERY_RESULT_BACKEND` / `RESULT_BACKEND` | Celery 结果后端 | `redis://localhost:6379/1` |
### 3.4 JWT 配置
| 变量名 | 用途说明 | 默认值 |
|--------|---------|--------|
| `JWT_ALGORITHM` | JWT 签名算法 | `HS256`(隐式默认) |
| `JWT_ACCESS_TOKEN_EXPIRE_MINUTES` | Access Token 过期时间(分钟) | `30`(隐式默认) |
| `JWT_REFRESH_TOKEN_EXPIRE_DAYS` | Refresh Token 过期时间(天) | `30`(隐式默认) |
| `JWT_SECRET_KEY_OLD` | 旧 JWT 密钥(用于密钥轮换) | `None` |
| `SECRET_ROTATION_DAYS` | 密钥轮换建议天数 | `90` |
### 3.5 邮件配置
| 变量名 | 用途说明 | 默认值 |
|--------|---------|--------|
| `ENABLE_EMAIL_DELIVERY` | 是否启用邮件发送 | `false` |
| `SMTP_HOST` | SMTP 服务器地址 | `smtp.gmail.com` |
| `SMTP_PORT` | SMTP 端口 | `587` |
| `SMTP_USER` | SMTP 用户名 | `""`(空) |
| `SMTP_PASSWORD` | SMTP 密码 | `""`(空) |
| `SMTP_FROM_EMAIL` | 发件人邮箱 | `""`(空) |
| `SMTP_FROM_NAME` | 发件人名称 | `小虾 SaaS` |
| `SMTP_USE_TLS` | 是否使用 TLS | `true` |
### 3.6 OSS 阿里云存储配置
| 变量名 | 用途说明 | 默认值 |
|--------|---------|--------|
| `OSS_ENDPOINT` | OSS Endpoint | `oss-cn-hangzhou.aliiyuncs.com` |
| `OSS_ACCESS_KEY_ID` | OSS Access Key ID | `""`(空) |
| `OSS_ACCESS_KEY_SECRET` | OSS Access Key Secret | `""`(空) |
| `OSS_BUCKET_NAME` | OSS Bucket 名称 | `xiaoxia-autocut` |
| `OSS_DIRECT_UPLOAD_MAX_MB` / `MAX_UPLOAD_SIZE_MB` | 直传最大文件大小(MB | `2000` |
| `OSS_DIRECT_UPLOAD_EXPIRE_SECONDS` | 直传签名过期时间(秒) | `900` |
### 3.7 CosyVoice 语音合成配置
| 变量名 | 用途说明 | 默认值 |
|--------|---------|--------|
| `COSYVOICE_API_KEY` | CosyVoice API Key | `""`(空) |
| `COSYVOICE_BASE_URL` | CosyVoice API 地址 | `https://dashscope.aliyuncs.com/api/v1/services/aigc/text2audio` |
| `COSYVOICE_MODEL` | CosyVoice 模型 | `cosyvoice-v1` |
| `COSYVOICE_VOICE` | 默认音色 | `longxiaochun` |
| `COSYVOICE_SAMPLE_RATE` | 采样率 | `22050` |
| `COSYVOICE_FORMAT` | 输出格式 | `mp3` |
### 3.8 CORS 配置
| 变量名 | 用途说明 | 默认值 |
|--------|---------|--------|
| `CORS_ORIGINS_RAW` | CORS 允许的源(逗号分隔) | `http://localhost:3000,http://localhost:5173,http://localhost:8000` |
### 3.9 文件存储 / 生成文件配置
| 变量名 | 用途说明 | 默认值 |
|--------|---------|--------|
| `GENERATED_FILES_DIR` | 生成文件本地存储目录 | `/app/generated` |
| `GENERATED_FILES_URL_PREFIX` | 生成文件访问 URL 前缀 | `/generated-files` |
| `VIDEO_OUTPUT_DIR` | 视频输出目录 | `{tempdir}/video_output` |
| `PUBLIC_API_BASE_URL` | 公开 API 基础 URL | `https://api.xiaoxiajianji.com` |
### 3.10 监控 / 指标配置
| 变量名 | 用途说明 | 默认值 |
|--------|---------|--------|
| `METRICS_AUTH_TOKEN` | Prometheus 指标接口认证 Token | `""`(空,不启用认证) |
### 3.11 内部 API 配置
| 变量名 | 用途说明 | 默认值 |
|--------|---------|--------|
| `INTERNAL_API_KEYS` | 内部 API 调用密钥列表(逗号分隔) | `""`(空) |
---
## 四、测试专用环境变量
以下变量仅在测试或冒烟测试脚本中使用。
| 变量名 | 用途说明 | 默认值 | 使用位置 |
|--------|---------|--------|---------|
| `SMOKE_TEST_PASSWORD` | 冒烟测试用的测试账号密码 | `changeme` | `scripts/smoke_*.py` |
| `MIGRATION_SINCE_REVISION` | 迁移安全检查的起始版本 | `None` | `scripts/check_migration_safety.py` |
| `MIGRATION_DIFF_AGAINST` | 迁移 diff 对比的目标分支/版本 | `None` | `scripts/check_migration_safety.py` |
---
## 五、Worker 服务环境变量
以下变量主要用于 Worker(Celery)服务,CI 的单元/集成测试通常不涉及。
| 变量名 | 用途说明 | 默认值 |
|--------|---------|--------|
| `WORKER_NAME` | Worker 名称 | `xiaoxia-saas-worker` |
| `WORKER_CONCURRENCY` | Worker 并发数 | `4` |
| `WORKER_MAX_TASKS_PER_CHILD` | 每个子进程最大任务数 | `1000` |
---
## 六、当前 CI 配置对照
当前 `.gitea/workflows/ci-cd.yml``validate` job 配置的环境变量:
| 变量名 | CI 配置值 | 是否必需 | 备注 |
|--------|----------|---------|------|
| `DATABASE_URL` | `postgresql+psycopg://postgres:postgres@127.0.0.1:5432/xiaoxia_saas` | ✅ 是 | Job 级别配置 |
| `USE_IN_MEMORY_DB` | `"false"`Job 级) / `"true"`(单元测试 step 级) | ✅ 是 | 单元测试 step 覆盖为 `true` |
| `JWT_SECRET_KEY` | (未配置) | ⚠️ 测试内置 | 测试文件中通过 `setdefault` 设置了测试密钥 |
### 6.1 CI 环境变量现状评估
- ✅ **数据库配置完备**DATABASE_URL + USE_IN_MEMORY_DB 已正确配置
- ✅ **JWT 密钥**:测试代码内置默认值,CI 可正常运行
- ⚠️ **缺少 Redis 配置**:但当前测试不依赖 Redis,使用默认值即可
- ⚠️ **缺少邮件/OSS/语音配置**:均为可选,CI 中使用空默认值不影响核心测试
### 6.2 建议后续补充
如果未来测试覆盖到以下功能,需要在 CI 中补充对应配置:
1. **Redis 相关测试** → 配置 `REDIS_URL`
2. **邮件发送测试** → 配置 `ENABLE_EMAIL_DELIVERY` 及 SMTP 相关变量
3. **OSS 上传测试** → 配置 OSS 相关变量(或使用 mock)
4. **语音合成测试** → 配置 CosyVoice 相关变量(或使用 mock
---
## 附录:环境变量读取位置索引
### pydantic Settings 类
- `apps/api/app/config.py``Settings` 类(API 主配置)
- `apps/worker/worker_app/core/config.py``WorkerSettings` 类(Worker 配置)
- `packages/shared/config.py``SharedSettings` 类(共享配置)
### 直接 os.environ / os.getenv 读取
| 变量名 | 文件位置 |
|--------|---------|
| `VIDEO_OUTPUT_DIR` | `apps/worker/video_processing/video_compose_service.py``apps/worker/worker_app/tasks/compose_video.py` |
| `INTERNAL_API_KEYS` | `apps/api/app/api/routes/auth.py` |
| `APP_ENV` / `ENV` | `apps/api/app/api/routes/auth.py`、各 config.py 的 `get_settings()` |
| `GENERATED_FILES_DIR` | `apps/worker/worker_app/tasks/generation.py``apps/api/main.py``scripts/cleanup_generated_files.py` |
| `GENERATED_FILES_URL_PREFIX` | `apps/worker/worker_app/tasks/generation.py``apps/api/main.py``apps/api/app/core/storage.py` |
| `PUBLIC_API_BASE_URL` | `apps/worker/worker_app/tasks/generation.py` |
| `METRICS_AUTH_TOKEN` | `apps/api/app/middleware/prometheus_metrics.py` |
| `APP_VERSION` | `apps/api/app/middleware/prometheus_metrics.py` |
| `SMOKE_TEST_PASSWORD` | `scripts/smoke_*.py` |
| `MIGRATION_SINCE_REVISION` | `scripts/check_migration_safety.py` |
| `MIGRATION_DIFF_AGAINST` | `scripts/check_migration_safety.py` |
| `DATABASE_URL` | `alembic/env.py` |
+37 -53
View File
@@ -473,7 +473,7 @@
"name": "id",
"nullable": false,
"primary_key": true,
"type": "VARCHAR(36)",
"type": "VARCHAR(32)",
"unique": false
},
{
@@ -481,7 +481,7 @@
"name": "project_id",
"nullable": false,
"primary_key": false,
"type": "VARCHAR(36)",
"type": "VARCHAR(32)",
"unique": false
},
{
@@ -489,7 +489,7 @@
"name": "asset_id",
"nullable": false,
"primary_key": false,
"type": "VARCHAR(36)",
"type": "VARCHAR(32)",
"unique": false
},
{
@@ -783,7 +783,7 @@
"name": "id",
"nullable": false,
"primary_key": true,
"type": "VARCHAR(36)",
"type": "VARCHAR(32)",
"unique": false
},
{
@@ -791,7 +791,7 @@
"name": "plan_id",
"nullable": false,
"primary_key": false,
"type": "VARCHAR(36)",
"type": "VARCHAR(32)",
"unique": false
},
{
@@ -815,7 +815,7 @@
"name": "template_clip_config_id",
"nullable": false,
"primary_key": false,
"type": "VARCHAR(36)",
"type": "VARCHAR(32)",
"unique": false
},
{
@@ -823,7 +823,7 @@
"name": "asset_id",
"nullable": false,
"primary_key": false,
"type": "VARCHAR(36)",
"type": "VARCHAR(32)",
"unique": false
},
{
@@ -939,7 +939,7 @@
"name": "id",
"nullable": false,
"primary_key": true,
"type": "VARCHAR(36)",
"type": "VARCHAR(32)",
"unique": false
},
{
@@ -947,7 +947,7 @@
"name": "template_id",
"nullable": false,
"primary_key": false,
"type": "VARCHAR(36)",
"type": "VARCHAR(32)",
"unique": false
},
{
@@ -987,7 +987,7 @@
"name": "source_edit_plan_id",
"nullable": true,
"primary_key": false,
"type": "VARCHAR(36)",
"type": "VARCHAR(32)",
"unique": false
},
{
@@ -995,7 +995,7 @@
"name": "project_id",
"nullable": false,
"primary_key": false,
"type": "VARCHAR(36)",
"type": "VARCHAR(32)",
"unique": false
},
{
@@ -1003,7 +1003,7 @@
"name": "created_by_user_id",
"nullable": false,
"primary_key": false,
"type": "VARCHAR(36)",
"type": "VARCHAR(32)",
"unique": false
},
{
@@ -1071,7 +1071,7 @@
"name": "id",
"nullable": false,
"primary_key": true,
"type": "VARCHAR(36)",
"type": "VARCHAR(32)",
"unique": false
},
{
@@ -1098,14 +1098,6 @@
"type": "VARCHAR(50)",
"unique": false
},
{
"index": false,
"name": "editing_mode",
"nullable": false,
"primary_key": false,
"type": "VARCHAR(20)",
"unique": false
},
{
"index": false,
"name": "config",
@@ -1189,7 +1181,7 @@
"name": "id",
"nullable": false,
"primary_key": true,
"type": "VARCHAR(36)",
"type": "VARCHAR(32)",
"unique": false
},
{
@@ -1197,7 +1189,7 @@
"name": "project_id",
"nullable": false,
"primary_key": false,
"type": "VARCHAR(36)",
"type": "VARCHAR(32)",
"unique": false
},
{
@@ -1205,7 +1197,7 @@
"name": "generation_task_id",
"nullable": false,
"primary_key": false,
"type": "VARCHAR(36)",
"type": "VARCHAR(32)",
"unique": false
},
{
@@ -1341,7 +1333,7 @@
"name": "duplicate_of",
"nullable": true,
"primary_key": false,
"type": "VARCHAR(36)",
"type": "VARCHAR(32)",
"unique": false
}
],
@@ -1386,7 +1378,7 @@
"name": "id",
"nullable": false,
"primary_key": true,
"type": "VARCHAR(36)",
"type": "VARCHAR(32)",
"unique": false
},
{
@@ -1394,7 +1386,7 @@
"name": "project_id",
"nullable": false,
"primary_key": false,
"type": "VARCHAR(36)",
"type": "VARCHAR(32)",
"unique": false
},
{
@@ -1402,7 +1394,7 @@
"name": "strategy_id",
"nullable": false,
"primary_key": false,
"type": "VARCHAR(36)",
"type": "VARCHAR(32)",
"unique": false
},
{
@@ -1410,7 +1402,7 @@
"name": "asset_library_id",
"nullable": false,
"primary_key": false,
"type": "VARCHAR(36)",
"type": "VARCHAR(32)",
"unique": false
},
{
@@ -1418,7 +1410,7 @@
"name": "voice_library_id",
"nullable": false,
"primary_key": false,
"type": "VARCHAR(36)",
"type": "VARCHAR(32)",
"unique": false
},
{
@@ -1514,7 +1506,7 @@
"name": "created_by_user_id",
"nullable": false,
"primary_key": false,
"type": "VARCHAR(36)",
"type": "VARCHAR(32)",
"unique": false
},
{
@@ -1522,7 +1514,7 @@
"name": "source_edit_plan_id",
"nullable": true,
"primary_key": false,
"type": "VARCHAR(36)",
"type": "VARCHAR(32)",
"unique": false
},
{
@@ -1538,7 +1530,7 @@
"name": "batch_id",
"nullable": false,
"primary_key": false,
"type": "VARCHAR(36)",
"type": "VARCHAR(32)",
"unique": false
},
{
@@ -1549,14 +1541,6 @@
"type": "JSON",
"unique": false
},
{
"index": false,
"name": "logs",
"nullable": false,
"primary_key": false,
"type": "TEXT",
"unique": false
},
{
"index": false,
"name": "created_at",
@@ -1635,7 +1619,7 @@
"name": "id",
"nullable": false,
"primary_key": true,
"type": "VARCHAR(36)",
"type": "VARCHAR(32)",
"unique": false
},
{
@@ -1643,7 +1627,7 @@
"name": "project_id",
"nullable": false,
"primary_key": false,
"type": "VARCHAR(36)",
"type": "VARCHAR(32)",
"unique": false
},
{
@@ -1651,7 +1635,7 @@
"name": "library_id",
"nullable": false,
"primary_key": false,
"type": "VARCHAR(36)",
"type": "VARCHAR(32)",
"unique": false
},
{
@@ -1683,7 +1667,7 @@
"name": "result_asset_id",
"nullable": false,
"primary_key": false,
"type": "VARCHAR(36)",
"type": "VARCHAR(32)",
"unique": false
},
{
@@ -1745,7 +1729,7 @@
"name": "id",
"nullable": false,
"primary_key": true,
"type": "VARCHAR(36)",
"type": "VARCHAR(32)",
"unique": false
},
{
@@ -1753,7 +1737,7 @@
"name": "project_id",
"nullable": false,
"primary_key": false,
"type": "VARCHAR(36)",
"type": "VARCHAR(32)",
"unique": false
},
{
@@ -1841,7 +1825,7 @@
"name": "source_id",
"nullable": false,
"primary_key": false,
"type": "VARCHAR(36)",
"type": "VARCHAR(32)",
"unique": false
},
{
@@ -1849,7 +1833,7 @@
"name": "created_by_user_id",
"nullable": false,
"primary_key": false,
"type": "VARCHAR(36)",
"type": "VARCHAR(32)",
"unique": false
},
{
@@ -1933,7 +1917,7 @@
"name": "id",
"nullable": false,
"primary_key": true,
"type": "VARCHAR(36)",
"type": "VARCHAR(32)",
"unique": false
},
{
@@ -1941,7 +1925,7 @@
"name": "owner_user_id",
"nullable": false,
"primary_key": false,
"type": "VARCHAR(36)",
"type": "VARCHAR(32)",
"unique": false
},
{
@@ -2261,7 +2245,7 @@
"name": "id",
"nullable": false,
"primary_key": true,
"type": "VARCHAR(36)",
"type": "VARCHAR(32)",
"unique": false
},
{
@@ -2269,7 +2253,7 @@
"name": "template_id",
"nullable": false,
"primary_key": false,
"type": "VARCHAR(36)",
"type": "VARCHAR(32)",
"unique": false
},
{
+13 -10
View File
@@ -6,14 +6,14 @@
# 基础镜像:Python 3.12
FROM git.xiaoxiajianji.com/xiaoxia/base/python:3.12-slim
# 构建参数:版本号(CI 传入 commit hash
ARG APP_VERSION=dev
# 使用阿里云镜像加速
RUN sed -i 's|deb.debian.org|mirrors.aliyun.com|g' /etc/apt/sources.list.d/debian.sources 2>/dev/null || sed -i 's|deb.debian.org|mirrors.aliyun.com|g' /etc/apt/sources.list 2>/dev/null || true
RUN sed -i 's|deb.debian.org|mirrors.aliyun.com|g' /etc/apt/sources.list.d/debian.sources 2>/dev/null || \
sed -i 's|deb.debian.org|mirrors.aliyun.com|g' /etc/apt/sources.list 2>/dev/null || true
# 安装系统依赖
RUN apt-get update && apt-get install -y --no-install-recommends libpq-dev && rm -rf /var/lib/apt/lists/*
RUN apt-get update && apt-get install -y --no-install-recommends \
libpq-dev \
&& rm -rf /var/lib/apt/lists/*
# 设置工作目录
WORKDIR /app
@@ -21,12 +21,15 @@ WORKDIR /app
# ---- 依赖分层:基础依赖(变化少,缓存命中率高)----
COPY requirements-base.txt /tmp/requirements-base.txt
RUN python -m venv /opt/venv && /opt/venv/bin/pip install --no-cache-dir -i https://mirrors.aliyun.com/pypi/simple/ --trusted-host mirrors.aliyun.com -r /tmp/requirements-base.txt && rm /tmp/requirements-base.txt
RUN python -m venv /opt/venv \
&& /opt/venv/bin/pip install --no-cache-dir -i https://mirrors.aliyun.com/pypi/simple/ --trusted-host mirrors.aliyun.com -r /tmp/requirements-base.txt \
&& rm /tmp/requirements-base.txt
# ---- 依赖分层:业务依赖(变化频繁)----
COPY requirements.txt /tmp/requirements.txt
RUN /opt/venv/bin/pip install --no-cache-dir -i https://mirrors.aliyun.com/pypi/simple/ --trusted-host mirrors.aliyun.com -r /tmp/requirements.txt && rm /tmp/requirements.txt
RUN /opt/venv/bin/pip install --no-cache-dir -i https://mirrors.aliyun.com/pypi/simple/ --trusted-host mirrors.aliyun.com -r /tmp/requirements.txt \
&& rm /tmp/requirements.txt
# 复制应用代码
COPY apps/api/ /app/apps/api/
@@ -37,13 +40,13 @@ COPY alembic/ /app/alembic/
COPY scripts/ /app/scripts/
# 设置环境变量
ENV PATH="/opt/venv/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin"
ENV PATH="/opt/venv/bin:$PATH"
ENV PYTHONPATH=/app
ENV PYTHONUNBUFFERED=1
ENV APP_VERSION=$APP_VERSION
# 健康检查
HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 CMD python -c "import urllib.request; urllib.request.urlopen('http://localhost:8000/health', timeout=5)"
HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
CMD python -c "import urllib.request; urllib.request.urlopen('http://localhost:8000/health', timeout=5)"
# API 入口点
WORKDIR /app/apps/api
-13
View File
@@ -1,13 +0,0 @@
#!/bin/bash
# Worker 启动脚本 — 支持 WORKER_CONCURRENCY 环境变量
# 未设置时默认 2(保持向后兼容)
set -e
CONCURRENCY="${WORKER_CONCURRENCY:-2}"
exec celery \
-A worker_app.celery_app \
worker \
--loglevel=info \
"--concurrency=${CONCURRENCY}"
+1 -9
View File
@@ -6,9 +6,6 @@
# 基础镜像:Python 3.12 + ffmpeg
FROM git.xiaoxiajianji.com/xiaoxia/base/python:3.12-slim
# 构建参数:版本号(CI 传入 commit hash
ARG APP_VERSION=dev
# 使用阿里云镜像加速
RUN sed -i 's|deb.debian.org|mirrors.aliyun.com|g' /etc/apt/sources.list.d/debian.sources 2>/dev/null || \
sed -i 's|deb.debian.org|mirrors.aliyun.com|g' /etc/apt/sources.list 2>/dev/null || true
@@ -51,15 +48,10 @@ COPY packages/ /app/packages/
COPY alembic.ini /app/alembic.ini
COPY migrations/ /app/migrations/
# 复制 Worker 启动脚本(支持 WORKER_CONCURRENCY 环境变量)
COPY infra/docker/entrypoint-worker.sh /usr/local/bin/entrypoint-worker.sh
RUN chmod +x /usr/local/bin/entrypoint-worker.sh
# 设置 Python 路径
ENV PATH="/opt/venv/bin:$PATH"
ENV PYTHONPATH=/app
ENV PYTHONUNBUFFERED=1
ENV APP_VERSION=$APP_VERSION
# 创建非 root 用户运行 Worker
RUN groupadd -r celery && useradd -r -g celery -d /app -s /sbin/nologin celery \
@@ -69,4 +61,4 @@ USER celery
# Worker 入口点
WORKDIR /app/apps/worker
CMD ["/usr/local/bin/entrypoint-worker.sh"]
CMD ["celery", "-A", "worker_app.celery_app", "worker", "--loglevel=info", "--concurrency=2"]
+1
View File
@@ -0,0 +1 @@
"""Packages root."""
+1
View File
@@ -0,0 +1 @@
"""Adapters package for external implementations."""
+1 -16
View File
@@ -1,9 +1,3 @@
from packages.adapters.redis.feature_flag_store import (
FeatureFlagConfig,
FeatureFlagStore,
InMemoryFeatureFlagStore,
RedisFeatureFlagStore,
)
from packages.adapters.redis.session_store import (
NoopSessionStore,
RedisConfig,
@@ -11,13 +5,4 @@ from packages.adapters.redis.session_store import (
get_session_store,
)
__all__ = [
"FeatureFlagConfig",
"FeatureFlagStore",
"InMemoryFeatureFlagStore",
"NoopSessionStore",
"RedisConfig",
"RedisFeatureFlagStore",
"SessionStore",
"get_session_store",
]
__all__ = ["NoopSessionStore", "RedisConfig", "SessionStore", "get_session_store"]
@@ -1,259 +0,0 @@
"""Feature Flag 存储实现。
支持两种后端
- RedisFeatureFlagStore生产环境使用支持多实例共享热更新
- InMemoryFeatureFlagStore测试/开发环境使用纯内存
支持的 Flag 类型
- 全局开关enabled: bool
- 白名单whitelist: Set[str] user_id 列表
- 百分比切流percentage: 0-100基于标识符哈希取模
判定优先级白名单 > 百分比 > 全局开关
"""
from __future__ import annotations
import hashlib
import json
import logging
import threading
import time
from abc import ABC, abstractmethod
from dataclasses import dataclass, field
from typing import Optional, Set
logger = logging.getLogger(__name__)
# Redis key 前缀
FEATURE_FLAG_REDIS_PREFIX = "feature_flag:"
@dataclass
class FeatureFlagConfig:
"""单个 Feature Flag 的配置。"""
name: str
enabled: bool = False
percentage: int = 0 # 0-100
whitelist: Set[str] = field(default_factory=set)
def to_dict(self) -> dict:
return {
"name": self.name,
"enabled": self.enabled,
"percentage": self.percentage,
"whitelist": sorted(self.whitelist),
}
@classmethod
def from_dict(cls, data: dict) -> "FeatureFlagConfig":
return cls(
name=data["name"],
enabled=bool(data.get("enabled", False)),
percentage=int(data.get("percentage", 0)),
whitelist=set(data.get("whitelist", [])),
)
def is_active(self, identifier: Optional[str] = None) -> bool:
"""判断当前 flag 是否激活。
判定优先级
1. 全局关闭 False
2. 白名单匹配 True
3. 百分比命中 True
4. 其他 False
Args:
identifier: 用于白名单匹配和百分比哈希的标识符 user_id
None 时只看全局开关 + 百分比百分比用随机值
"""
if not self.enabled:
return False
# 白名单:精确匹配
if identifier and identifier in self.whitelist:
return True
# 百分比:0 直接 False100 直接 True
if self.percentage <= 0:
# 没有白名单且百分比为0 → 未启用
return False
if self.percentage >= 100:
return True
# 基于 identifier 做哈希取模,确保同一用户始终落在同一侧
if identifier:
hash_val = int(
hashlib.md5(f"{self.name}:{identifier}".encode("utf-8")).hexdigest(), 16 # nosec B324
) # nosec B324 - 用于哈希取模做百分比切流,非安全用途
return (hash_val % 100) < self.percentage
# 无 identifier 且百分比在 0-100 之间 → 按比例随机(不保证一致性)
import random
return random.randint(0, 99) < self.percentage
class FeatureFlagStore(ABC):
"""Feature Flag 存储抽象接口。"""
@abstractmethod
def get(self, name: str) -> FeatureFlagConfig:
"""获取指定 flag 的配置,不存在则返回默认配置(关闭状态)。"""
...
@abstractmethod
def set(self, config: FeatureFlagConfig) -> None:
"""设置 flag 配置。"""
...
@abstractmethod
def delete(self, name: str) -> bool:
"""删除 flag,返回是否成功删除。"""
...
@abstractmethod
def list_all(self) -> dict[str, FeatureFlagConfig]:
"""列出所有 flag。"""
...
def is_active(self, name: str, identifier: Optional[str] = None) -> bool:
"""便捷方法:判断 flag 是否激活。"""
return self.get(name).is_active(identifier)
class InMemoryFeatureFlagStore(FeatureFlagStore):
"""内存实现,用于测试和本地开发。"""
def __init__(self) -> None:
self._flags: dict[str, FeatureFlagConfig] = {}
self._lock = threading.Lock()
def get(self, name: str) -> FeatureFlagConfig:
with self._lock:
return self._flags.get(name, FeatureFlagConfig(name=name, enabled=False))
def set(self, config: FeatureFlagConfig) -> None:
with self._lock:
self._flags[config.name] = config
def delete(self, name: str) -> bool:
with self._lock:
if name in self._flags:
del self._flags[name]
return True
return False
def list_all(self) -> dict[str, FeatureFlagConfig]:
with self._lock:
return dict(self._flags)
class RedisFeatureFlagStore(FeatureFlagStore):
"""Redis 实现,支持多实例共享配置。
每个 flag 存在一个独立的 Redis hash key
Key: feature_flag:{name}
Fields: enabled, percentage, whitelist(JSON array)
"""
def __init__(self, redis_url: str, key_prefix: str = FEATURE_FLAG_REDIS_PREFIX) -> None:
import redis as redis_lib
self._redis = redis_lib.from_url(redis_url, decode_responses=True)
self._key_prefix = key_prefix
# 本地缓存 + TTL,减少 Redis 调用
self._cache: dict[str, tuple[FeatureFlagConfig, float]] = {}
self._cache_ttl = 5.0 # 秒,默认5秒本地缓存
self._lock = threading.Lock()
def _redis_key(self, name: str) -> str:
return f"{self._key_prefix}{name}"
def _parse_whitelist(self, raw: Optional[str]) -> Set[str]:
if not raw:
return set()
try:
data = json.loads(raw)
return set(data) if isinstance(data, list) else set()
except (json.JSONDecodeError, TypeError):
return set()
def get(self, name: str) -> FeatureFlagConfig:
now = time.time()
# 先查本地缓存
with self._lock:
cached = self._cache.get(name)
if cached and now - cached[1] < self._cache_ttl:
return cached[0]
# 从 Redis 读取
try:
key = self._redis_key(name)
data = self._redis.hgetall(key)
if not data:
config = FeatureFlagConfig(name=name, enabled=False)
else:
config = FeatureFlagConfig(
name=name,
enabled=(data.get("enabled", "0") in ("1", "true", "True")),
percentage=int(data.get("percentage", 0)),
whitelist=self._parse_whitelist(data.get("whitelist")),
)
# 写入本地缓存
with self._lock:
self._cache[name] = (config, now)
return config
except Exception as exc:
logger.warning("Failed to get feature flag %s from Redis: %s", name, exc)
# Redis 不可用时返回默认值(关闭),不影响业务
return FeatureFlagConfig(name=name, enabled=False)
def set(self, config: FeatureFlagConfig) -> None:
key = self._redis_key(config.name)
self._redis.hset(
key,
mapping={
"enabled": "1" if config.enabled else "0",
"percentage": str(config.percentage),
"whitelist": json.dumps(sorted(config.whitelist), ensure_ascii=False),
},
)
# 失效本地缓存
with self._lock:
self._cache.pop(config.name, None)
def delete(self, name: str) -> bool:
key = self._redis_key(name)
result = self._redis.delete(key)
with self._lock:
self._cache.pop(name, None)
return bool(result)
def list_all(self) -> dict[str, FeatureFlagConfig]:
pattern = f"{self._key_prefix}*"
result: dict[str, FeatureFlagConfig] = {}
try:
cursor = 0
while True:
cursor, keys = self._redis.scan(cursor=cursor, match=pattern, count=100)
for key in keys:
name = key[len(self._key_prefix) :]
result[name] = self.get(name)
if cursor == 0:
break
except Exception as exc:
logger.warning("Failed to list feature flags from Redis: %s", exc)
return result
def invalidate_cache(self, name: Optional[str] = None) -> None:
"""手动失效本地缓存。"""
with self._lock:
if name:
self._cache.pop(name, None)
else:
self._cache.clear()
@@ -71,7 +71,6 @@ class SQLAlchemyEditTemplateRepository:
name=template.name,
description=template.description,
template_type=template.template_type,
editing_mode=template.editing_mode,
config=template.config,
preview_url=template.preview_url,
sort_weight=template.sort_weight,
@@ -90,7 +89,6 @@ class SQLAlchemyEditTemplateRepository:
model.name = template.name
model.description = template.description
model.template_type = template.template_type
model.editing_mode = template.editing_mode
model.config = template.config
model.preview_url = template.preview_url
model.sort_weight = template.sort_weight
@@ -130,7 +128,6 @@ class SQLAlchemyEditTemplateRepository:
name=model.name,
description=model.description or "",
template_type=model.template_type or "default",
editing_mode=model.editing_mode or "one_take",
config=model.config or {},
preview_url=model.preview_url or "",
sort_weight=model.sort_weight or 0,
-20
View File
@@ -27,7 +27,6 @@ def _to_domain(model: GenerationTaskModel) -> GenerationTask:
source_edit_plan_id=model.source_edit_plan_id or "",
asset_select_mode=model.asset_select_mode or "",
batch_id=model.batch_id or "",
logs=model.logs or "[]",
created_at=model.created_at,
)
@@ -57,7 +56,6 @@ class SQLAlchemyGenerationTaskRepository:
source_edit_plan_id=task.source_edit_plan_id or None,
asset_select_mode=task.asset_select_mode or "",
batch_id=task.batch_id or "",
logs=task.logs,
created_at=task.created_at,
)
self.session.add(model)
@@ -91,23 +89,6 @@ class SQLAlchemyGenerationTaskRepository:
def count_by_user(self, user_id: str) -> int:
return self.session.query(GenerationTaskModel).filter(GenerationTaskModel.created_by_user_id == user_id).count()
def count_pending_by_user(self, user_id: str) -> int:
return (
self.session.query(GenerationTaskModel)
.filter(
GenerationTaskModel.created_by_user_id == user_id,
GenerationTaskModel.status == GenerationTaskStatus.PENDING.value,
)
.count()
)
def count_pending_total(self) -> int:
return (
self.session.query(GenerationTaskModel)
.filter(GenerationTaskModel.status == GenerationTaskStatus.PENDING.value)
.count()
)
def list_recent_by_user(self, user_id: str, limit: int = 5) -> list[GenerationTask]:
models = (
self.session.query(GenerationTaskModel)
@@ -148,6 +129,5 @@ class SQLAlchemyGenerationTaskRepository:
model.source_edit_plan_id = task.source_edit_plan_id or None
model.asset_select_mode = task.asset_select_mode or ""
model.batch_id = task.batch_id or ""
model.logs = task.logs
self.session.commit()
return task
+38 -40
View File
@@ -1,6 +1,6 @@
from datetime import datetime, timezone
from sqlalchemy import JSON, Boolean, Column, DateTime, Float, Integer, String, Text, UniqueConstraint
from sqlalchemy import JSON, Boolean, Column, DateTime, Float, Integer, String, Text, UniqueConstraint, create_engine
from sqlalchemy.orm import declarative_base
Base = declarative_base()
@@ -39,8 +39,8 @@ class UserModel(Base):
class ProjectModel(Base):
__tablename__ = "projects"
id = Column(String(36), primary_key=True)
owner_user_id = Column(String(36), nullable=False, index=True)
id = Column(String(32), primary_key=True)
owner_user_id = Column(String(32), nullable=False, index=True)
name = Column(String(100), nullable=False)
description = Column(Text, nullable=False, default="")
shared_users = Column(JSON, nullable=False, default=list) # 被共享的用户 ID 列表
@@ -122,11 +122,10 @@ class EditTemplateModel(Base):
__tablename__ = "edit_templates"
id = Column(String(36), primary_key=True)
id = Column(String(32), primary_key=True)
name = Column(String(120), nullable=False)
description = Column(Text, nullable=False, default="")
template_type = Column(String(50), nullable=False, default="default", index=True)
editing_mode = Column(String(20), nullable=False, default="one_take")
config = Column(JSON, nullable=False, default=dict)
preview_url = Column(String(1000), nullable=False, default="")
sort_weight = Column(Integer, nullable=False, default=0, index=True)
@@ -143,15 +142,15 @@ class EditPlanModel(Base):
__tablename__ = "edit_plans"
id = Column(String(36), primary_key=True)
template_id = Column(String(36), nullable=False, index=True)
id = Column(String(32), primary_key=True)
template_id = Column(String(32), nullable=False, index=True)
name = Column(String(200), nullable=False)
status = Column(String(20), nullable=False, default="draft", index=True)
total_duration = Column(Float, nullable=False, default=0.0)
config = Column(JSON, nullable=False, default=dict)
source_edit_plan_id = Column(String(36), nullable=True, index=True)
project_id = Column(String(36), nullable=False, default="", index=True)
created_by_user_id = Column(String(36), nullable=False, default="", index=True)
source_edit_plan_id = Column(String(32), nullable=True, index=True)
project_id = Column(String(32), nullable=False, default="", index=True)
created_by_user_id = Column(String(32), nullable=False, default="", index=True)
created_at = Column(DateTime, nullable=False, default=lambda: datetime.now(timezone.utc))
updated_at = Column(DateTime, nullable=False, default=lambda: datetime.now(timezone.utc))
@@ -164,8 +163,8 @@ class TemplateClipConfigModel(Base):
__tablename__ = "template_clip_configs"
id = Column(String(36), primary_key=True)
template_id = Column(String(36), nullable=False, index=True)
id = Column(String(32), primary_key=True)
template_id = Column(String(32), nullable=False, index=True)
clip_type = Column(String(20), nullable=False, index=True)
order = Column(Integer, nullable=False)
min_duration = Column(Float, nullable=False, default=0.0)
@@ -186,12 +185,12 @@ class EditPlanClipModel(Base):
__tablename__ = "edit_plan_clips"
id = Column(String(36), primary_key=True)
plan_id = Column(String(36), nullable=False, index=True)
id = Column(String(32), primary_key=True)
plan_id = Column(String(32), nullable=False, index=True)
clip_type = Column(String(20), nullable=False, index=True)
order = Column(Integer, nullable=False)
template_clip_config_id = Column(String(36), nullable=False, default="", index=True)
asset_id = Column(String(36), nullable=False, default="", index=True)
template_clip_config_id = Column(String(32), nullable=False, default="", index=True)
asset_id = Column(String(32), nullable=False, default="", index=True)
text_content = Column(Text, nullable=False, default="")
start_time = Column(Float, nullable=False, default=0.0)
duration = Column(Float, nullable=False, default=0.0)
@@ -205,13 +204,13 @@ class EditPlanClipModel(Base):
class IngestJobModel(Base):
__tablename__ = "ingest_jobs"
id = Column(String(36), primary_key=True)
project_id = Column(String(36), nullable=False, index=True)
library_id = Column(String(36), nullable=False, index=True)
id = Column(String(32), primary_key=True)
project_id = Column(String(32), nullable=False, index=True)
library_id = Column(String(32), nullable=False, index=True)
storage_key = Column(String(255), nullable=False)
status = Column(String(20), nullable=False, default="pending")
error_message = Column(Text, nullable=False, default="")
result_asset_id = Column(String(36), nullable=False, default="")
result_asset_id = Column(String(32), nullable=False, default="")
file_hash = Column(String(64), nullable=True, index=True)
created_at = Column(DateTime, nullable=False, default=lambda: datetime.now(timezone.utc))
updated_at = Column(DateTime, nullable=False, default=lambda: datetime.now(timezone.utc))
@@ -220,9 +219,9 @@ class IngestJobModel(Base):
class ClassificationJobModel(Base):
__tablename__ = "classification_jobs"
id = Column(String(36), primary_key=True)
project_id = Column(String(36), nullable=False, index=True)
asset_id = Column(String(36), nullable=False, index=True)
id = Column(String(32), primary_key=True)
project_id = Column(String(32), nullable=False, index=True)
asset_id = Column(String(32), nullable=False, index=True)
status = Column(String(20), nullable=False, default="pending")
classification = Column(String(50), nullable=False, default="")
confidence = Column(Float, nullable=False, default=0.0)
@@ -234,11 +233,11 @@ class ClassificationJobModel(Base):
class GenerationTaskModel(Base):
__tablename__ = "generation_tasks"
id = Column(String(36), primary_key=True)
project_id = Column(String(36), nullable=False, default="", index=True)
strategy_id = Column(String(36), nullable=False, default="")
asset_library_id = Column(String(36), nullable=False, default="", index=True)
voice_library_id = Column(String(36), nullable=False, default="")
id = Column(String(32), primary_key=True)
project_id = Column(String(32), nullable=False, default="", index=True)
strategy_id = Column(String(32), nullable=False, default="")
asset_library_id = Column(String(32), nullable=False, default="", index=True)
voice_library_id = Column(String(32), nullable=False, default="")
template_id = Column(String(36), nullable=False, default="", index=True)
asset_ids = Column(JSON, nullable=False, default=list)
title_ids = Column(JSON, nullable=False, default=list)
@@ -252,21 +251,20 @@ class GenerationTaskModel(Base):
error_message = Column(Text, nullable=False, default="")
started_at = Column(DateTime, nullable=True)
completed_at = Column(DateTime, nullable=True)
created_by_user_id = Column(String(36), nullable=False, default="", index=True)
source_edit_plan_id = Column(String(36), nullable=True, index=True)
created_by_user_id = Column(String(32), nullable=False, default="", index=True)
source_edit_plan_id = Column(String(32), nullable=True, index=True)
asset_select_mode = Column(String(20), nullable=False, default="")
batch_id = Column(String(36), nullable=False, default="", index=True)
batch_id = Column(String(32), nullable=False, default="", index=True)
extra_meta = Column("metadata", JSON, nullable=False, default=dict)
logs = Column(Text, nullable=False, default="[]", server_default="[]")
created_at = Column(DateTime, nullable=False, default=lambda: datetime.now(timezone.utc))
class GeneratedVideoModel(Base):
__tablename__ = "generated_videos"
id = Column(String(36), primary_key=True)
project_id = Column(String(36), nullable=False, index=True)
generation_task_id = Column(String(36), nullable=False, index=True)
id = Column(String(32), primary_key=True)
project_id = Column(String(32), nullable=False, index=True)
generation_task_id = Column(String(32), nullable=False, index=True)
name = Column(String(255), nullable=False)
# file_url: 完整可访问的 URL,用于客户端直接访问视频
file_url = Column(String(1000), nullable=False)
@@ -285,7 +283,7 @@ class GeneratedVideoModel(Base):
updated_at = Column(DateTime, nullable=True)
video_fingerprint = Column(Text, nullable=True)
is_duplicate = Column(Boolean, nullable=False, default=False)
duplicate_of = Column(String(36), nullable=True)
duplicate_of = Column(String(32), nullable=True)
class TitleLibraryModel(Base):
@@ -452,8 +450,8 @@ class JobModel(Base):
__tablename__ = "jobs"
id = Column(String(36), primary_key=True)
project_id = Column(String(36), nullable=False, index=True)
id = Column(String(32), primary_key=True)
project_id = Column(String(32), nullable=False, index=True)
job_type = Column(String(30), nullable=False, index=True)
status = Column(String(20), nullable=False, default="pending", index=True)
progress = Column(Float, nullable=False, default=0.0)
@@ -464,8 +462,8 @@ class JobModel(Base):
retry_count = Column(Integer, nullable=False, default=0)
max_retries = Column(Integer, nullable=False, default=3)
celery_task_id = Column(String(100), nullable=False, default="")
source_id = Column(String(36), nullable=False, default="", index=True)
created_by_user_id = Column(String(36), nullable=False, default="", index=True)
source_id = Column(String(32), nullable=False, default="", index=True)
created_by_user_id = Column(String(32), nullable=False, default="", index=True)
started_at = Column(DateTime, nullable=True)
completed_at = Column(DateTime, nullable=True)
created_at = Column(DateTime, nullable=False, default=lambda: datetime.now(timezone.utc))
+1
View File
@@ -27,6 +27,7 @@ from .generated_videos import (
from .generation_tasks import (
CreateGenerationTaskCommand,
CreateGenerationTaskUseCase,
GetGenerationTaskUseCase,
)
from .ingest_jobs import SubmitIngestJobCommand, SubmitIngestJobUseCase
from .jobs import (
+2 -1
View File
@@ -12,9 +12,10 @@ JWT 处理器委托层
payload = jwt_handler.verify_access_token(token)
"""
from datetime import datetime, timedelta
from typing import Any, Dict, Optional
from packages.application.auth.jwt_service import JWTConfig, JWTService
from packages.application.auth.jwt_service import JWTConfig, JWTService, TokenType
class JWTHandler:
+4 -4
View File
@@ -208,10 +208,10 @@ def _get_jwt_service():
kw = dict(secret_key=settings.JWT_SECRET_KEY)
if hasattr(settings, "JWT_ALGORITHM"):
kw["algorithm"] = settings.JWT_ALGORITHM
if hasattr(settings, "JWT_ACCESS_TOKEN_EXPIRE_MINUTES"):
kw["access_token_expire_minutes"] = settings.JWT_ACCESS_TOKEN_EXPIRE_MINUTES
if hasattr(settings, "JWT_REFRESH_TOKEN_EXPIRE_DAYS"):
kw["refresh_token_expire_days"] = settings.JWT_REFRESH_TOKEN_EXPIRE_DAYS
if hasattr(settings, "ACCESS_TOKEN_EXPIRE_MINUTES"):
kw["access_token_expire_minutes"] = settings.ACCESS_TOKEN_EXPIRE_MINUTES
if hasattr(settings, "REFRESH_TOKEN_EXPIRE_DAYS"):
kw["refresh_token_expire_days"] = settings.REFRESH_TOKEN_EXPIRE_DAYS
_jwt_service_instance = JWTService(JWTConfig(**kw))
return _jwt_service_instance
+1 -1
View File
@@ -293,7 +293,7 @@ class LogoutUseCase:
try:
if request.logout_all_devices:
# 删除所有设备的 session
self.session_store.delete_all_user_sessions(request.user_id)
count = self.session_store.delete_all_user_sessions(request.user_id)
return True, None
else:
# 删除当前 session
@@ -85,6 +85,8 @@ class PasswordHasher:
True 如果需要重新哈希
"""
try:
hashed_bytes = hashed_password.encode("utf-8")
current_rounds = bcrypt.getsalt(hashed_bytes)
# 提取当前的 cost factor
# bcrypt hash 格式: $2b$rounds$salt+hash
@@ -3,7 +3,7 @@
"""
import secrets
from datetime import datetime, timezone
from datetime import datetime, timedelta, timezone
from typing import Optional
from uuid import uuid4
+1 -1
View File
@@ -3,7 +3,7 @@
"""
from math import ceil
from typing import Generic, List, TypeVar
from typing import Generic, List, Optional, TypeVar
from pydantic import BaseModel, Field
+304 -311
View File
@@ -1,13 +1,11 @@
"""CosyVoice 语音服务 — 适配阿里云百炼 DashScope API.
"""CosyVoice 语音服务 — Phase 3.
封装阿里云百炼 CosyVoice 语音合成 API提供
封装阿里云 CosyVoice 语音合成 API提供
- 预置音色列表查询
- 音色克隆提交 + 轮询状态
- 语音合成同步非流式调用
- 音色克隆提交任务 + 轮询状态
- 语音合成提交任务 + 轮询状态
API 文档:
- 音色克隆: https://help.aliyun.com/document_detail/3027318.html
- 语音合成: https://help.aliyun.com/zh/model-studio/cosyvoice-tts-http-api
API 文档: https://help.aliyun.com/zh/model-studio/cosyvoice
"""
from __future__ import annotations
@@ -62,34 +60,33 @@ class SynthesizeResult:
class CosyVoiceService:
"""CosyVoice 语音服务.
"""CosyVoice 语音服务
封装阿里云百炼 CosyVoice API提供音色克隆和语音合成功能.
接口总览:
- 音色克隆: POST /services/audio/tts/customization (model=voice-enrollment)
- action=create_voice: 创建克隆音色返回 voice_id状态 DEPLOYING
- action=query_voice: 查询音色状态DEPLOYING / OK / UNDEPLOYED
- 语音合成: POST /services/audio/tts/SpeechSynthesizer (model=cosyvoice-v3-flash)
- 非流式: 同步返回音频 URL
封装阿里云 CosyVoice API提供音色克隆和语音合成功能
支持同步和异步两种模式
- 同步API 直接返回结果
- 异步API 返回 task_id需要轮询状态
使用示例:
service = CosyVoiceService(
api_key="your-api-key",
base_url="https://dashscope.aliyuncs.com/api/v1",
model="cosyvoice-v3-flash",
base_url="https://dashscope.aliyuncs.com/api/v1/services/aigc/text2audio",
model="cosyvoice-v1",
)
# 获取预置音色
voices = service.list_preset_voices()
# 音色克隆
result = service.clone_voice(audio_url="https://example.com/audio.mp3")
# 语音合成
result = service.synthesize_speech(text="你好世界", voice_id="longxiaochun_v3")
result = service.synthesize_speech(text="你好世界", voice_id="longxiaochun")
"""
# 音色状态轮询配置
CLONE_POLL_INTERVAL = 5.0 # 秒
CLONE_MAX_POLL_ATTEMPTS = 60 # 最多轮询 60 次(5分钟)
# 轮询配置
POLL_INTERVAL = 2.0 # 秒
MAX_POLL_ATTEMPTS = 60 # 最多轮询 60 次(2分钟)
# 重试配置
MAX_RETRIES = 3
@@ -100,70 +97,27 @@ class CosyVoiceService:
api_key: str = "",
base_url: str = "",
model: str = "",
clone_model: str = "",
http_client: Optional[httpx.Client] = None,
audio_url_signer: Optional[callable] = None,
) -> None:
"""初始化 CosyVoice 服务.
"""初始化 CosyVoice 服务
Args:
api_key: DashScope API Key为空时从配置读取
base_url: DashScope API Base URL为空时从配置读取
model: 语音合成模型名称为空时从配置读取
clone_model: 音色克隆模型名称为空时从配置读取
api_key: CosyVoice API Key为空时从配置读取
base_url: CosyVoice API Base URL为空时从配置读取
model: CosyVoice 模型名称为空时从配置读取
http_client: 可选的 HTTP 客户端用于测试注入
audio_url_signer: 可选的音频URL预签名函数签名式 fn(url) -> str.
用于私有 bucket 将裸 URL 转为预签名 URL
确保 CosyVoice 服务器能下载参考音频.
"""
settings = get_shared_settings()
self._api_key = api_key or settings.cosyvoice_api_key
self._base_url = base_url or settings.cosyvoice_base_url
self._model = model or settings.cosyvoice_model
self._clone_model = clone_model or getattr(settings, "cosyvoice_clone_model", "voice-enrollment")
self._audio_url_signer = audio_url_signer
# base_url 规范化:去掉末尾的路径残留(兼容旧版配置)
# 旧版 .env 模板中 base_url 包含 /services/aigc/text2audio 完整路径,
# 新版只需 /api/v1,具体路径由代码拼接。这里自动修正,避免配置滞后导致418。
if "/services/aigc/text2audio" in self._base_url:
old_url = self._base_url
# 截取到 /api/v1 为止
idx = self._base_url.find("/api/v1")
if idx >= 0:
self._base_url = self._base_url[: idx + len("/api/v1")]
logger.warning(
"[CosyVoice Config] base_url包含旧版text2audio路径,已自动修正: " "%s -> %s",
old_url,
self._base_url,
)
self._client = http_client or httpx.Client(
timeout=httpx.Timeout(60.0, connect=10.0),
timeout=httpx.Timeout(30.0, connect=10.0),
)
self._owns_client = http_client is None
# 启动时打印配置(脱敏),方便排查环境变量覆盖问题
if self._owns_client:
masked_key = ""
if self._api_key:
if len(self._api_key) > 8:
masked_key = f"{self._api_key[:4]}...{self._api_key[-4:]}"
else:
masked_key = "***"
logger.info(
"[CosyVoice Config] 初始化配置: "
"model=%s, base_url=%s, default_voice=%s, "
"sample_rate=%d, format=%s, api_key=%s",
self._model,
self._base_url,
getattr(settings, "cosyvoice_voice", "(unset)"),
settings.cosyvoice_sample_rate,
settings.cosyvoice_format,
masked_key or "(empty)",
)
def __enter__(self) -> CosyVoiceService:
return self
@@ -178,7 +132,7 @@ class CosyVoiceService:
# ── 预置音色 ─────────────────────────────────────────
def list_preset_voices(self) -> list[PresetVoice]:
"""获取预置音色列表.
"""获取预置音色列表
Returns:
预置音色列表
@@ -192,22 +146,20 @@ class CosyVoiceService:
audio_url: str,
voice_name: str = "",
language: str = "zh-CN",
target_model: str = "",
) -> dict:
"""提交音色克隆任务(非阻塞).
"""提交音色克隆任务(非阻塞)
调用百炼 voice-enrollment API 创建克隆音色.
创建后音色状态为 DEPLOYING需通过 query_voice_status 轮询直到 OK.
只提交任务到 CosyVoice API不轮询结果
返回的 dict 包含 task_id异步 voice_id同步
Args:
audio_url: 参考音频 URL必须公网可访问
voice_name: 音色名称前缀字母数字最多10字符
language: 语言代码zh-CN 会转换为 zh
target_model: 目标合成模型默认使用当前 model
audio_url: 参考音频 URL
voice_name: 音色名称可选
language: 语言代码
Returns:
dict: {"voice_id": str, "status": str, "request_id": str}
voice_id 非空status 通常为 DEPLOYING
dict: {"task_id": str, "voice_id": str, "request_id": str}
task_id voice_id 至少有一个非空
Raises:
CosyVoiceError: API 调用失败
@@ -219,67 +171,48 @@ class CosyVoiceService:
if not self._api_key:
raise CosyVoiceAuthError("CosyVoice API Key 未配置")
# voice_name 作为 prefix,限制字母数字,最多10字符
# 不符合要求的做清洗
prefix = self._sanitize_prefix(voice_name) if voice_name else "clone"
# 语言转换:zh-CN → zh,保留 ISO 639-1 格式
lang_code = language.split("-")[0].lower() if language else "zh"
target = target_model or self._model
# 如果配置了 audio_url_signer,对音频URL做预签名
# (私有 bucket 下 CosyVoice 服务器无法直接访问裸 URL)
signed_audio_url = audio_url
if self._audio_url_signer:
try:
signed_audio_url = self._audio_url_signer(audio_url)
logger.info("音频URL已预签名: original=%s signed_prefix=%s", audio_url[:80], signed_audio_url[:80])
except Exception as e:
logger.warning("音频URL预签名失败,使用原始URL: %s", e)
payload = {
"model": self._clone_model,
"model": self._model,
"input": {
"action": "create_voice",
"target_model": target,
"prefix": prefix,
"url": signed_audio_url,
"language_hints": [lang_code],
"audio_url": audio_url,
},
"parameters": {
"language": language,
},
}
if voice_name:
payload["parameters"]["voice_name"] = voice_name
response = self._call_api(
method="POST",
path="/services/audio/tts/customization",
path="/services/audio/voice-clone",
json=payload,
timeout=60.0,
)
output = response.get("output", {})
task_id = output.get("task_id", "")
voice_id = output.get("voice_id", "")
status = output.get("status", "DEPLOYING")
request_id = response.get("request_id", "")
if not voice_id:
raise CosyVoiceError(f"CosyVoice API 未返回 voice_id: {response}")
if not task_id and not voice_id:
raise CosyVoiceError(f"CosyVoice API 未返回 task_id 或 voice_id: {response}")
return {
"task_id": task_id,
"voice_id": voice_id,
"status": status,
"request_id": request_id,
}
def query_voice_status(self, voice_id: str) -> dict:
"""查询音色状态(单次查询,不轮询).
def check_task_status(self, task_id: str) -> dict:
"""查询克隆任务状态(单次查询,不轮询)
Args:
voice_id: 音色 ID
task_id: 任务 ID
Returns:
dict: {"status": str, "target_model": str, "gmt_create": str,
"gmt_modified": str, "resource_link": str}
status DEPLOYING / OK / UNDEPLOYED
dict: {"status": str, "voice_id": str, "message": str}
status SUCCEEDED/FAILED/PENDING/RUNNING
Raises:
CosyVoiceError: API 调用失败
@@ -288,92 +221,40 @@ class CosyVoiceService:
if not self._api_key:
raise CosyVoiceAuthError("CosyVoice API Key 未配置")
if not voice_id:
raise ValueError("voice_id 不能为空")
payload = {
"model": self._clone_model,
"input": {
"action": "query_voice",
"voice_id": voice_id,
},
}
response = self._call_api(
method="POST",
path="/services/audio/tts/customization",
json=payload,
method="GET",
path=f"/tasks/{task_id}",
timeout=30.0,
)
output = response.get("output", {})
status = output.get("task_status", "").upper()
voice_id = output.get("voice_id", "")
message = output.get("message", "")
return {
"status": output.get("status", ""),
"target_model": output.get("target_model", ""),
"gmt_create": output.get("gmt_create", ""),
"gmt_modified": output.get("gmt_modified", ""),
"resource_link": output.get("resource_link", ""),
"status": status,
"voice_id": voice_id,
"message": message,
}
def check_task_status(self, task_id: str) -> dict:
"""查询克隆任务状态(兼容旧接口,实际用 voice_id 查询).
def poll_clone_task(self, task_id: str, timeout: float = 300.0) -> dict:
"""轮询音色克隆任务状态(公开方法)。
为了兼容旧代码task_id 参数名保留但实际传的是 voice_id.
Celery 后台任务调用轮询直到完成或超时
Args:
task_id: 音色 ID兼容旧接口名
Returns:
dict: {"status": str, "voice_id": str, "message": str}
"""
result = self.query_voice_status(task_id)
return {
"status": result["status"],
"voice_id": task_id,
"message": "",
}
def poll_clone_task(self, voice_id: str, timeout: float = 300.0) -> dict:
"""轮询音色克隆状态直到完成或超时.
Celery 后台任务调用轮询直到状态变为 OK UNDEPLOYED.
Args:
voice_id: 音色 ID
task_id: CosyVoice 任务 ID
timeout: 超时时间默认 300
Returns:
dict: {"voice_id": str}
Raises:
CosyVoiceError: 任务失败状态 UNDEPLOYED
CosyVoiceError: 任务失败
CosyVoiceTimeoutError: 超时
"""
start_time = time.time()
attempts = 0
while attempts < self.CLONE_MAX_POLL_ATTEMPTS:
elapsed = time.time() - start_time
if elapsed > timeout:
raise CosyVoiceTimeoutError(f"音色克隆任务超时({timeout}秒): voice_id={voice_id}")
result = self.query_voice_status(voice_id)
status = result.get("status", "").upper()
if status == "OK":
return {"voice_id": voice_id}
elif status == "UNDEPLOYED":
raise CosyVoiceError(f"音色克隆任务失败(审核未通过): voice_id={voice_id}")
elif status in ("DEPLOYING", "PENDING", "PROCESSING", ""):
# 继续轮询
time.sleep(self.CLONE_POLL_INTERVAL)
attempts += 1
else:
logger.warning("未知的音色状态: %s (voice_id=%s)", status, voice_id)
time.sleep(self.CLONE_POLL_INTERVAL)
attempts += 1
raise CosyVoiceTimeoutError(f"音色克隆任务轮询次数超限: voice_id={voice_id}")
return self._poll_clone_task(task_id, timeout=timeout)
def clone_voice(
self,
@@ -381,45 +262,122 @@ class CosyVoiceService:
voice_name: str = "",
language: str = "zh-CN",
timeout: float = 300.0,
target_model: str = "",
) -> CloneResult:
"""克隆音色(阻塞,直到完成或超时).
"""克隆音色
提交音色克隆到百炼 API并轮询直到状态变为 OK 或超时.
提交音色克隆任务到 CosyVoice API并轮询直到完成或超时
Args:
audio_url: 参考音频 URL必须公网可访问
voice_name: 音色名称前缀
audio_url: 参考音频 URL
voice_name: 音色名称可选
language: 语言代码
timeout: 超时时间
target_model: 目标合成模型
Returns:
CloneResult: 克隆结果包含 voice_id
Raises:
CosyVoiceError: API 调用失败或克隆失败
CosyVoiceError: API 调用失败
CosyVoiceTimeoutError: 超时
CosyVoiceAuthError: 认证失败
ValueError: 参数无效
"""
submit_result = self.submit_clone_task(
audio_url=audio_url,
voice_name=voice_name,
language=language,
target_model=target_model,
if not audio_url:
raise ValueError("audio_url 不能为空")
if not self._api_key:
raise CosyVoiceAuthError("CosyVoice API Key 未配置")
# 构建请求
payload = {
"model": self._model,
"input": {
"audio_url": audio_url,
},
"parameters": {
"language": language,
},
}
if voice_name:
payload["parameters"]["voice_name"] = voice_name
# 调用 API
response = self._call_api(
method="POST",
path="/services/audio/voice-clone",
json=payload,
timeout=timeout,
)
voice_id = submit_result["voice_id"]
request_id = submit_result["request_id"]
# 解析响应
output = response.get("output", {})
# 如果创建时已经是 OK 状态,直接返回
if submit_result.get("status", "").upper() == "OK":
return CloneResult(voice_id=voice_id, request_id=request_id)
# 检查是否有 task_id(异步模式)
task_id = output.get("task_id")
voice_id = output.get("voice_id")
# 否则轮询
result = self.poll_clone_task(voice_id, timeout=timeout)
return CloneResult(voice_id=result["voice_id"], request_id=request_id)
if task_id:
# 异步模式:轮询任务状态
result = self._poll_clone_task(task_id, timeout)
return CloneResult(
voice_id=result["voice_id"],
request_id=response.get("request_id", ""),
)
elif voice_id:
# 同步模式:直接返回结果
return CloneResult(
voice_id=voice_id,
request_id=response.get("request_id", ""),
)
else:
raise CosyVoiceError(f"CosyVoice API 未返回 task_id 或 voice_id: {response}")
def _poll_clone_task(self, task_id: str, timeout: float) -> dict:
"""轮询音色克隆任务状态。
Args:
task_id: 任务 ID
timeout: 超时时间
Returns:
任务结果字典
Raises:
CosyVoiceError: 任务失败
CosyVoiceTimeoutError: 超时
"""
start_time = time.time()
attempts = 0
while attempts < self.MAX_POLL_ATTEMPTS:
elapsed = time.time() - start_time
if elapsed > timeout:
raise CosyVoiceTimeoutError(f"音色克隆任务超时({timeout}秒): task_id={task_id}")
response = self._call_api(
method="GET",
path=f"/tasks/{task_id}",
timeout=30.0,
)
output = response.get("output", {})
status = output.get("task_status", "").upper()
if status == "SUCCEEDED":
voice_id = output.get("voice_id", "")
if not voice_id:
raise CosyVoiceError(f"音色克隆任务成功但未返回 voice_id: {response}")
return {"voice_id": voice_id}
elif status == "FAILED":
error_msg = output.get("message", "未知错误")
raise CosyVoiceError(f"音色克隆任务失败: {error_msg}")
elif status in ("PENDING", "RUNNING"):
# 继续轮询
time.sleep(self.POLL_INTERVAL)
attempts += 1
else:
raise CosyVoiceError(f"未知的任务状态: {status}")
raise CosyVoiceTimeoutError(f"音色克隆任务轮询次数超限: task_id={task_id}")
# ── 语音合成 ─────────────────────────────────────────
@@ -430,12 +388,11 @@ class CosyVoiceService:
sample_rate: int = 0,
format: str = "",
speed: float = 1.0,
volume: int = 50,
) -> dict:
"""提交语音合成任务(同步非流式,直接返回结果).
"""提交语音合成任务(非阻塞)。
CosyVoice SpeechSynthesizer 非流式接口是同步的
调用后直接返回音频 URL. 此方法保持与旧接口兼容.
只提交任务到 CosyVoice API不轮询结果
返回的 dict 包含 task_id异步 audio_url同步
Args:
text: 要合成的文本
@@ -443,11 +400,10 @@ class CosyVoiceService:
sample_rate: 采样率Hz0 表示使用配置默认值
format: 输出格式mp3/wav/pcm空表示使用配置默认值
speed: 语速0.5-2.01.0 为正常速度
volume: 音量0-100默认 50
Returns:
dict: {"audio_url": str, "request_id": str,
"duration": float, "file_size": int}
dict: {"task_id": str, "audio_url": str, "request_id": str}
task_id audio_url 至少有一个非空
Raises:
CosyVoiceError: API 调用失败
@@ -467,47 +423,55 @@ class CosyVoiceService:
"model": self._model,
"input": {
"text": text,
},
"parameters": {
"voice": voice_id,
"format": format or settings.cosyvoice_format,
"sample_rate": sample_rate or settings.cosyvoice_sample_rate,
"format": format or settings.cosyvoice_format,
"rate": speed,
"volume": volume,
},
}
response = self._call_api(
method="POST",
path="/services/audio/tts/SpeechSynthesizer",
path="/services/aigc/text2audio/generation",
json=payload,
timeout=120.0,
timeout=60.0,
)
output = response.get("output", {})
audio = output.get("audio", {})
audio_url = audio.get("url", "")
task_id = output.get("task_id", "")
audio_url = output.get("audio_url", "")
request_id = response.get("request_id", "")
if not audio_url:
raise CosyVoiceError(f"CosyVoice API 未返回 audio_url: {response}")
if not task_id and not audio_url:
raise CosyVoiceError(f"CosyVoice API 未返回 task_id 或 audio_url: {response}")
return {
"task_id": "", # 同步接口无 task_id,兼容旧接口
"task_id": task_id,
"audio_url": audio_url,
"duration": 0.0, # 同步接口不返回 duration
"file_size": 0, # 同步接口不返回 file_size
"duration": output.get("duration", 0.0),
"file_size": output.get("file_size", 0),
"request_id": request_id,
}
def poll_synthesize_task(self, task_id: str, timeout: float = 120.0) -> dict:
"""轮询合成任务(同步接口无需轮询,保留兼容).
"""轮询语音合成任务状态(公开方法)。
CosyVoice SpeechSynthesizer 非流式接口是同步的
此方法仅为保持接口兼容实际调用时 task_id 应该为空.
Celery 后台任务调用轮询直到完成或超时
Args:
task_id: CosyVoice 任务 ID
timeout: 超时时间默认 120
Returns:
dict: {"audio_url": str, "duration": float, "file_size": int}
Raises:
CosyVoiceError: 同步接口无需轮询
CosyVoiceError: 任务失败
CosyVoiceTimeoutError: 超时
"""
raise CosyVoiceError("CosyVoice 非流式合成接口是同步的,无需轮询. " "请直接使用 submit_synthesize_task().")
return self._poll_synthesize_task(task_id, timeout=timeout)
def synthesize_speech(
self,
@@ -516,13 +480,11 @@ class CosyVoiceService:
sample_rate: int = 0,
format: str = "",
speed: float = 1.0,
volume: int = 50,
timeout: float = 120.0,
) -> SynthesizeResult:
"""语音合成(同步非流式).
"""语音合成
调用百炼 CosyVoice SpeechSynthesizer 非流式接口
直接返回合成音频 URL.
提交语音合成任务到 CosyVoice API并轮询直到完成或超时
Args:
text: 要合成的文本
@@ -530,52 +492,128 @@ class CosyVoiceService:
sample_rate: 采样率Hz0 表示使用配置默认值
format: 输出格式mp3/wav/pcm空表示使用配置默认值
speed: 语速0.5-2.01.0 为正常速度
volume: 音量0-100默认 50
timeout: 超时时间保留参数兼容
timeout: 超时时间
Returns:
SynthesizeResult: 合成结果包含 audio_url
Raises:
CosyVoiceError: API 调用失败
CosyVoiceTimeoutError: 超时
CosyVoiceAuthError: 认证失败
ValueError: 参数无效
"""
result = self.submit_synthesize_task(
text=text,
voice_id=voice_id,
sample_rate=sample_rate,
format=format,
speed=speed,
volume=volume,
if not text:
raise ValueError("text 不能为空")
if not voice_id:
raise ValueError("voice_id 不能为空")
if not self._api_key:
raise CosyVoiceAuthError("CosyVoice API Key 未配置")
settings = get_shared_settings()
# 构建请求
payload = {
"model": self._model,
"input": {
"text": text,
},
"parameters": {
"voice": voice_id,
"sample_rate": sample_rate or settings.cosyvoice_sample_rate,
"format": format or settings.cosyvoice_format,
"rate": speed,
},
}
# 调用 API
response = self._call_api(
method="POST",
path="/services/aigc/text2audio/generation",
json=payload,
timeout=timeout,
)
return SynthesizeResult(
audio_url=result["audio_url"],
duration=result.get("duration", 0.0),
file_size=result.get("file_size", 0),
request_id=result.get("request_id", ""),
)
# 解析响应
output = response.get("output", {})
# ── 内部方法 ─────────────────────────────────────────
# 检查是否有 task_id(异步模式)
task_id = output.get("task_id")
audio_url = output.get("audio_url")
def _sanitize_prefix(self, name: str) -> str:
"""清洗音色名称为合法的 prefix(字母数字,最多10字符).
if task_id:
# 异步模式:轮询任务状态
result = self._poll_synthesize_task(task_id, timeout)
return SynthesizeResult(
audio_url=result["audio_url"],
duration=result.get("duration", 0.0),
file_size=result.get("file_size", 0),
request_id=response.get("request_id", ""),
)
elif audio_url:
# 同步模式:直接返回结果
return SynthesizeResult(
audio_url=audio_url,
duration=output.get("duration", 0.0),
file_size=output.get("file_size", 0),
request_id=response.get("request_id", ""),
)
else:
raise CosyVoiceError(f"CosyVoice API 未返回 audio_url 或 task_id: {response}")
def _poll_synthesize_task(self, task_id: str, timeout: float) -> dict:
"""轮询语音合成任务状态。
Args:
name: 原始音色名称
task_id: 任务 ID
timeout: 超时时间
Returns:
清洗后的 prefix
任务结果字典
Raises:
CosyVoiceError: 任务失败
CosyVoiceTimeoutError: 超时
"""
# 只保留字母和数字
cleaned = "".join(c for c in name if c.isalnum())
# 最多10字符
cleaned = cleaned[:10]
# 如果清洗后为空,用默认值
if not cleaned:
cleaned = "clone"
return cleaned
start_time = time.time()
attempts = 0
while attempts < self.MAX_POLL_ATTEMPTS:
elapsed = time.time() - start_time
if elapsed > timeout:
raise CosyVoiceTimeoutError(f"语音合成任务超时({timeout}秒): task_id={task_id}")
response = self._call_api(
method="GET",
path=f"/tasks/{task_id}",
timeout=30.0,
)
output = response.get("output", {})
status = output.get("task_status", "").upper()
if status == "SUCCEEDED":
audio_url = output.get("audio_url", "")
if not audio_url:
raise CosyVoiceError(f"语音合成任务成功但未返回 audio_url: {response}")
return {
"audio_url": audio_url,
"duration": output.get("duration", 0.0),
"file_size": output.get("file_size", 0),
}
elif status == "FAILED":
error_msg = output.get("message", "未知错误")
raise CosyVoiceError(f"语音合成任务失败: {error_msg}")
elif status in ("PENDING", "RUNNING"):
# 继续轮询
time.sleep(self.POLL_INTERVAL)
attempts += 1
else:
raise CosyVoiceError(f"未知的任务状态: {status}")
raise CosyVoiceTimeoutError(f"语音合成任务轮询次数超限: task_id={task_id}")
# ── 内部方法 ─────────────────────────────────────────
def _call_api(
self,
@@ -584,13 +622,13 @@ class CosyVoiceService:
json: Optional[dict] = None,
timeout: float = 30.0,
) -> dict:
"""调用 DashScope API.
"""调用 CosyVoice API
支持重试和错误处理.
支持重试和错误处理
Args:
method: HTTP 方法GET/POST
path: API 路径 / 开头
path: API 路径
json: 请求体
timeout: 超时时间
@@ -608,22 +646,6 @@ class CosyVoiceService:
"Content-Type": "application/json",
}
# DEBUG: 打印完整请求信息,用于排查418错误
import json as json_lib
safe_headers = {k: v for k, v in headers.items()}
if "Authorization" in safe_headers:
token = safe_headers["Authorization"]
if len(token) > 20:
safe_headers["Authorization"] = token[:13] + "..." + token[-4:]
logger.info(
"[CosyVoice Debug] 请求详情: " "method=%s, url=%s, headers=%s, body=%s",
method,
url,
safe_headers,
json_lib.dumps(json, ensure_ascii=False) if json else "None",
)
last_error: Optional[Exception] = None
for attempt in range(self.MAX_RETRIES):
@@ -636,58 +658,29 @@ class CosyVoiceService:
timeout=timeout,
)
# DEBUG: 打印响应状态和完整响应体
logger.info(
"[CosyVoice Debug] 响应详情: " "status=%d, body=%s",
response.status_code,
response.text[:2000], # 最多2000字符,避免日志过大
)
# 处理响应
if response.status_code == 200:
return response.json()
elif response.status_code in (401, 403):
raise CosyVoiceAuthError(f"CosyVoice API 认证失败: HTTP {response.status_code}")
elif response.status_code == 400:
# 客户端错误,不重试
body_text = response.text
try:
body = response.json()
code = body.get("code", "")
message = body.get("message", "")
raise CosyVoiceError(f"CosyVoice API 参数错误: HTTP 400, " f"code={code}, message={message}")
except ValueError:
raise CosyVoiceError(f"CosyVoice API 调用失败: HTTP 400, body={body_text}")
elif response.status_code >= 500:
# 服务端错误,可重试
last_error = CosyVoiceError(f"CosyVoice API 服务端错误: HTTP {response.status_code}")
logger.warning(
"CosyVoice API 失败 (尝试 %d/%d): HTTP %d",
attempt + 1,
self.MAX_RETRIES,
response.status_code,
f"CosyVoice API 失败 (尝试 {attempt + 1}/{self.MAX_RETRIES}): " f"HTTP {response.status_code}"
)
else:
# 其他客户端错误,不重试
# 客户端错误,不重试
raise CosyVoiceError(
f"CosyVoice API 调用失败: HTTP {response.status_code}, " f"body={response.text}"
)
except httpx.TimeoutException as e:
last_error = CosyVoiceTimeoutError(f"请求超时: {e}")
logger.warning(
"CosyVoice API 超时 (尝试 %d/%d)",
attempt + 1,
self.MAX_RETRIES,
)
logger.warning(f"CosyVoice API 超时 (尝试 {attempt + 1}/{self.MAX_RETRIES})")
except httpx.RequestError as e:
last_error = CosyVoiceError(f"请求错误: {e}")
logger.warning(
"CosyVoice API 请求错误 (尝试 %d/%d): %s",
attempt + 1,
self.MAX_RETRIES,
e,
)
logger.warning(f"CosyVoice API 请求错误 (尝试 {attempt + 1}/{self.MAX_RETRIES}): {e}")
# 指数退避
if attempt < self.MAX_RETRIES - 1:
+2
View File
@@ -7,7 +7,9 @@ from __future__ import annotations
import logging
from dataclasses import dataclass, field
from datetime import datetime, timezone
from typing import Any
from uuid import uuid4
from packages.domain.job import Job, JobStatus, JobType
from packages.ports.job_repository import JobRepository
+1
View File
@@ -9,6 +9,7 @@ from typing import List, Optional
from packages.adapters.sqlalchemy_impl.recipe_repository import SQLAlchemyRecipeRepository
from packages.application.recipe.commands import (
CreateRecipeCommand,
RecipeItemCommand,
UpdateRecipeCommand,
)
from packages.domain.recipe import Recipe, RecipeItem
+1
View File
@@ -0,0 +1 @@
"""TTS Job application layer."""
@@ -148,6 +148,7 @@ class TTSStreamingService:
# 并发合成所有分段,按顺序流式推送
queue: asyncio.Queue[tuple[int, Optional[bytes], Optional[str]]] = asyncio.Queue()
completed_count = 0
async def _synthesize_one(idx: int, seg_text: str) -> None:
"""合成单个分段并放入队列。"""
+61 -139
View File
@@ -14,6 +14,7 @@ import logging
import os
import shutil
import tempfile
import time
from concurrent.futures import ThreadPoolExecutor, as_completed
from typing import Optional
@@ -24,7 +25,7 @@ from packages.application.cosyvoice_service import (
CosyVoiceError,
CosyVoiceService,
)
from packages.application.tts_job.audio_merger import AudioMerger
from packages.application.tts_job.audio_merger import AudioMergeError, AudioMerger
from packages.application.tts_job.text_splitter import split_text
from packages.domain.tts_job import TTSJob, TTSJobStatus
from packages.ports.tts_job_repository import TTSJobRepository
@@ -189,13 +190,10 @@ class TTSWorkflowService:
return job
def poll_and_process_synthesis(self, job_id: str, timeout: float = 120.0) -> TTSJob:
"""轮询/检查 CosyVoice 合成任务并处理结果.
"""轮询 CosyVoice 合成任务并处理结果
CosyVoice SpeechSynthesizer 非流式接口是同步的
start_synthesis 阶段通常已经完成. 此方法用于
1. job completed 直接返回同步路径已处理
2. job 仍在 processing 重新提交合成兜底
3. 分段任务 检查分段状态
job.metadata 获取 task_id调用 CosyVoiceService.poll_synthesize_task()
轮询状态然后通过 process_synthesis_result / process_synthesis_failure 更新 job
Celery 后台任务调用
"""
@@ -203,38 +201,22 @@ class TTSWorkflowService:
if job is None:
raise TTSJobNotFoundError(f"TTS job {job_id} not found")
# 已完成直接返回(同步路径在 start_synthesis 里已处理)
if job.status == TTSJobStatus.COMPLETED.value:
logger.info(f"TTS 任务已完成,跳过轮询: job_id={job_id}")
return job
# 检查是否为分段合成任务
segment_task_ids = (job.metadata or {}).get("segment_task_ids", [])
if segment_task_ids:
return self._poll_segment_tasks(job)
# 单段模式:同步接口下通常不会走到这里,
# 但如果因为异常导致仍在 processing,重新提交一次
task_id = (job.metadata or {}).get("cosyvoice_task_id", "")
# 新接口(同步):没有 task_id,重新合成
if not task_id:
logger.info(f"TTS 任务无 task_id,重新同步合成: job_id={job_id}")
return self._resynthesize_and_complete(job)
raise ValueError(f"TTSJob {job_id} has no cosyvoice_task_id in metadata")
# 旧接口遗留的 task_id,尝试轮询(兼容过渡)
try:
result = self.cosyvoice_service.poll_synthesize_task(task_id, timeout=timeout)
return self.process_synthesis_result(
job_id,
audio_url=result["audio_url"],
duration=result.get("duration", 0.0),
file_size=result.get("file_size", 0),
)
except CosyVoiceError:
# 旧接口轮询失败,重新同步合成
logger.warning(f"旧 task_id 轮询失败,重新同步合成: job_id={job_id}, task_id={task_id}")
return self._resynthesize_and_complete(job)
result = self.cosyvoice_service.poll_synthesize_task(task_id, timeout=timeout)
return self.process_synthesis_result(
job_id,
audio_url=result["audio_url"],
duration=result.get("duration", 0.0),
file_size=result.get("file_size", 0),
)
def process_synthesis_result(
self,
@@ -275,40 +257,6 @@ class TTSWorkflowService:
logger.info(f"TTS 合成成功: job_id={job_id}, audio_url={permanent_url}")
return job
def _resynthesize_and_complete(self, job: TTSJob) -> TTSJob:
"""重新同步合成并完成任务(兜底路径).
poll_and_process_synthesis 发现 job 仍在 processing 且无 task_id
重新调用同步合成接口转存 OSS 后标记完成
"""
try:
# 从 metadata 读取合成参数(兼容旧数据,无则用默认值)
job_metadata = job.metadata or {}
speed = float(job_metadata.get("speed", 1.0))
volume = int(job_metadata.get("volume", 50))
result = self.cosyvoice_service.submit_synthesize_task(
text=job.input_text,
voice_id=job.voice_id,
sample_rate=job.sample_rate,
format=job.format,
speed=speed,
volume=volume,
)
audio_url = result.get("audio_url", "")
if not audio_url:
raise CosyVoiceError("重新合成未返回 audio_url")
return self.process_synthesis_result(
job.id,
audio_url=audio_url,
duration=result.get("duration", 0.0),
file_size=result.get("file_size", 0),
)
except Exception as e:
logger.error(f"重新同步合成失败: job_id={job.id}, error={e}")
return self.process_synthesis_failure(job.id, str(e))
def process_synthesis_failure(self, job_id: str, error_message: str) -> TTSJob:
"""处理合成失败结果。
@@ -481,95 +429,69 @@ class TTSWorkflowService:
shutil.rmtree(temp_dir, ignore_errors=True)
def _poll_segment_tasks(self, job: TTSJob) -> TTSJob:
"""分段任务完成检查(适配新同步接口).
CosyVoice SpeechSynthesizer 非流式接口为同步接口
分段任务在提交时应已同步返回 audio_url
若历史任务处于 processing 且有 segment_task_ids 但缺少 audio_url
则对缺失分段重新同步合成全部完成后合并音频
"""
"""轮询所有分段异步任务,全部完成后合并音频。"""
segment_task_ids: list[str] = (job.metadata or {}).get("segment_task_ids", [])
segment_audio_urls: list[str] = (job.metadata or {}).get("segment_audio_urls", [])
segment_count = len(segment_task_ids)
if segment_count == 0:
logger.warning(f"分段任务无 task_id: job_id={job.id}")
self._handle_segment_failure(job, "分段任务数据异常:无分段信息")
return self.repository.get(job.id)
poll_start = time.monotonic()
poll_timeout = 300.0 # 分段任务超时更长
poll_interval = 2.0
# 从 metadata 读取合成参数
job_metadata = job.metadata or {}
speed = float(job_metadata.get("speed", 1.0))
volume = int(job_metadata.get("volume", 50))
while time.monotonic() - poll_start < poll_timeout:
all_done = True
results: list[dict | None] = [None] * segment_count
# 分段文本(用于缺失段重新合成)
segments = split_text(job.input_text, max_chars=_SEGMENT_THRESHOLD)
for idx, task_id in enumerate(segment_task_ids):
# 已经有音频的分段跳过轮询
if idx < len(segment_audio_urls) and segment_audio_urls[idx]:
results[idx] = {
"audio_url": segment_audio_urls[idx],
"duration": 0.0,
"file_size": 0,
}
continue
results: list[dict | None] = [None] * segment_count
try:
result = self.cosyvoice_service.poll_synthesize_task(task_id, timeout=poll_timeout)
results[idx] = result
except Exception as e:
logger.error(f"分段任务轮询失败: job_id={job.id}, " f"segment={idx}, error={e}")
self._handle_segment_failure(job, f"分段 {idx + 1} 轮询失败: {e}")
return self.repository.get(job.id)
# 已有音频的分段直接用
for idx in range(segment_count):
if idx < len(segment_audio_urls) and segment_audio_urls[idx]:
results[idx] = {
"audio_url": segment_audio_urls[idx],
"duration": 0.0,
"file_size": 0,
}
if results[idx] is None:
all_done = False
# 找出缺失音频的分段索引
missing_indices = [i for i in range(segment_count) if results[i] is None]
if all_done and all(r is not None for r in results):
# 所有分段完成,下载合并
try:
merged_data, total_duration = self._download_and_merge_segments(results, job)
if missing_indices:
logger.info(f"分段任务重新合成缺失段: job_id={job.id}, " f"缺失={len(missing_indices)}/{segment_count}")
# 并发重新合成缺失分段
max_workers = min(len(missing_indices), _MAX_SEGMENT_WORKERS)
with ThreadPoolExecutor(max_workers=max_workers) as executor:
future_to_idx = {}
for idx in missing_indices:
segment_text = segments[idx] if idx < len(segments) else ""
future = executor.submit(
self.cosyvoice_service.submit_synthesize_task,
text=segment_text,
voice_id=job.voice_id,
sample_rate=job.sample_rate,
format=job.format,
speed=speed,
volume=volume,
# 转存 OSS
permanent_url, storage_key = self._upload_merged_to_oss(
merged_data, job.user_id, job.id, job.format
)
future_to_idx[future] = idx
for future in as_completed(future_to_idx):
idx = future_to_idx[future]
try:
results[idx] = future.result()
except Exception as e:
logger.error(f"分段重新合成失败: job_id={job.id}, " f"segment={idx}, error={e}")
self._handle_segment_failure(job, f"分段 {idx + 1} 重新合成失败: {e}")
return self.repository.get(job.id)
job.mark_completed(
output_audio_url=permanent_url,
output_audio_key=storage_key,
duration=total_duration,
file_size=len(merged_data),
)
job = self.repository.update(job)
logger.info(f"分段合成轮询完成: job_id={job.id}, " f"merged_size={len(merged_data)}")
return job
# 所有分段完成,下载合并
if all(r is not None for r in results):
try:
merged_data, total_duration = self._download_and_merge_segments(results, job)
except Exception as e:
self._handle_segment_failure(job, f"分段合并失败: {e}")
return self.repository.get(job.id)
permanent_url, storage_key = self._upload_merged_to_oss(merged_data, job.user_id, job.id, job.format)
# 等待后重试
time.sleep(poll_interval)
job.mark_completed(
output_audio_url=permanent_url,
output_audio_key=storage_key,
duration=total_duration,
file_size=len(merged_data),
)
job = self.repository.update(job)
logger.info(f"分段合成完成(重新合成路径): job_id={job.id}, " f"merged_size={len(merged_data)}")
return job
except Exception as e:
self._handle_segment_failure(job, f"分段合并失败: {e}")
return self.repository.get(job.id)
# 理论上不会到这里(全部重新合成要么成功要么失败)
self._handle_segment_failure(job, "分段合成结果不完整")
# 超时
self._handle_segment_failure(job, "分段合成轮询超时(300 秒)")
return self.repository.get(job.id)
def _handle_segment_failure(self, job: TTSJob, error_message: str) -> None:
@@ -2,6 +2,7 @@
from __future__ import annotations
import uuid
from typing import List, Optional
from packages.domain.voice_clone_profile import VoiceCloneProfile
+10 -14
View File
@@ -10,7 +10,7 @@
from __future__ import annotations
import logging
from typing import Optional
from typing import Any, Optional
from packages.application.cosyvoice_service import (
CosyVoiceAuthError,
@@ -21,8 +21,9 @@ from packages.application.voice_clone.use_cases import (
CreateVoiceCloneUseCase,
RetryVoiceCloneUseCase,
VoiceCloneNotFoundError,
VoiceCloneNotRetryableError,
)
from packages.domain.voice_clone_profile import VoiceCloneProfile
from packages.domain.voice_clone_profile import VoiceCloneProfile, VoiceCloneStatus
from packages.ports.voice_clone_profile_repository import VoiceCloneProfileRepository
logger = logging.getLogger(__name__)
@@ -114,16 +115,14 @@ class VoiceCloneWorkflowService:
language=language,
)
# 4. 保存 voice_id / request_id 到 metadata
# 注意:key 保留 cosyvoice_task_id 以兼容旧数据,实际存的是 voice_id
# 4. 保存 task_id / voice_id 到 metadata
task_metadata = dict(profile.metadata)
task_metadata["cosyvoice_task_id"] = submit_result.get("voice_id", "")
task_metadata["cosyvoice_task_id"] = submit_result.get("task_id", "")
task_metadata["cosyvoice_request_id"] = submit_result.get("request_id", "")
# 如果 CosyVoice 直接返回了 OK 状态,直接标记 ready
# 如果 CosyVoice 同步返回了 voice_id,直接标记 ready
voice_id = submit_result.get("voice_id", "")
status = submit_result.get("status", "").upper()
if voice_id and status == "OK":
if voice_id:
profile.mark_ready(voice_id)
profile.metadata = task_metadata
profile = self.repository.update(profile)
@@ -132,9 +131,7 @@ class VoiceCloneWorkflowService:
profile.metadata = task_metadata
profile = self.repository.update(profile)
logger.info(
f"音色克隆任务已提交: profile_id={profile.id}, " f"voice_id={submit_result.get('voice_id')}"
)
logger.info(f"音色克隆任务已提交: profile_id={profile.id}, " f"task_id={submit_result.get('task_id')}")
except (CosyVoiceError, CosyVoiceAuthError) as e:
# CosyVoice 提交失败,标记为 failed
@@ -251,12 +248,11 @@ class VoiceCloneWorkflowService:
)
task_metadata = dict(profile.metadata)
task_metadata["cosyvoice_task_id"] = submit_result.get("voice_id", "")
task_metadata["cosyvoice_task_id"] = submit_result.get("task_id", "")
task_metadata["cosyvoice_request_id"] = submit_result.get("request_id", "")
voice_id = submit_result.get("voice_id", "")
status = submit_result.get("status", "").upper()
if voice_id and status == "OK":
if voice_id:
profile.mark_ready(voice_id)
profile.metadata = task_metadata
profile = self.repository.update(profile)

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