i

-将主要处理逻辑迁移到新的 TaskService 架构中
-保持 FfmpegTask 类的接口

.env.example

@@ -1,65 +1,13 @@
-# ===================
+TEMPLATE_DIR=template/
-# API 配置
+API_ENDPOINT=https://zhentuai.com/task/v1
-# ===================
-API_ENDPOINT=http://127.0.0.1:18084/api
 ACCESS_KEY=TEST_ACCESS_KEY
-WORKER_ID=1
-
-# ===================
-# 目录配置
-# ===================
 TEMP_DIR=tmp/
-
+#REDIRECT_TO_URL=https://renderworker-deuvulkhes.cn-shanghai.fcapp.run/
-# ===================
+# QSV
-# 并发与调度
+ENCODER_ARGS="-c:v h264_qsv -global_quality 28 -look_ahead 1"
-# ===================
+# NVENC
-#MAX_CONCURRENCY=4                    # 最大并发任务数
+#ENCODER_ARGS="-c:v h264_nvenc -cq:v 24 -preset:v p7 -tune:v hq -profile:v high"
-#HEARTBEAT_INTERVAL=5                 # 心跳间隔（秒）
+# HEVC
-#LEASE_EXTENSION_THRESHOLD=60         # 租约续期阈值（秒），提前多久续期
+#VIDEO_ARGS="-profile:v main
-#LEASE_EXTENSION_DURATION=300         # 租约续期时长（秒）
+UPLOAD_METHOD="rclone"
-
+RCLONE_REPLACE_MAP="https://oss.zhentuai.com|alioss://frametour-assets,https://frametour-assets.oss-cn-shanghai.aliyuncs.com|alioss://frametour-assets"
-# ===================
-# 能力配置
-# ===================
-# 支持的任务类型，逗号分隔，默认全部支持
-#CAPABILITIES=RENDER_SEGMENT_VIDEO,PREPARE_JOB_AUDIO,PACKAGE_SEGMENT_TS,FINALIZE_MP4
-
-# ===================
-# 超时配置
-# ===================
-#FFMPEG_TIMEOUT=3600                  # FFmpeg 执行超时（秒）
-#DOWNLOAD_TIMEOUT=300                 # 下载超时（秒）
-#UPLOAD_TIMEOUT=600                   # 上传超时（秒）
-
-# ===================
-# 硬件加速与多显卡
-# ===================
-# 硬件加速类型: none, qsv, cuda
-HW_ACCEL=none
-
-# GPU 设备列表（逗号分隔的设备索引）
-# 不配置时：自动检测所有设备
-# 单设备示例：GPU_DEVICES=0
-# 多设备示例：GPU_DEVICES=0,1,2
-#GPU_DEVICES=0,1
-
-# ===================
-# 素材缓存
-# ===================
-#CACHE_ENABLED=true                   # 是否启用素材缓存
-#CACHE_DIR=                           # 缓存目录，默认 TEMP_DIR/cache
-#CACHE_MAX_SIZE_GB=0                  # 最大缓存大小（GB），0 表示不限制
-
-# ===================
-# URL 映射（内网下载加速）
-# ===================
-# 格式: src1|dst1,src2|dst2
-#HTTP_REPLACE_MAP="https://cdcdn.zhentuai.com|http://192.168.10.254:9000"
-
-# ===================
-# 上传配置
-# ===================
-# 上传方式: 默认 HTTP，可选 rclone
-#UPLOAD_METHOD=rclone
-#RCLONE_CONFIG_FILE=                  # rclone 配置文件路径
-#RCLONE_REPLACE_MAP="https://oss.example.com|alioss://bucket"

.flake8

@@ -0,0 +1,15 @@
+[flake8]
+max-line-length = 88
+ignore =
+    # Line too long - handled by black
+    E501,
+    # Line break before binary operator - handled by black
+    W503
+exclude =
+    .git,
+    __pycache__,
+    .venv,
+    venv,
+    tests,
+    .claude,
+    .serena

CLAUDE.md

@@ -0,0 +1,179 @@
+# CLAUDE.md
+
+This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
+
+## Project Overview
+
+RenderWorker is a Python-based video processing service that renders video content using FFmpeg. It operates as both a Flask web service and a standalone worker process, processing video rendering tasks with templates, effects, and various transformations.
+
+## Architecture
+
+The project uses a modern layered architecture with clear separation of concerns:
+
+### Core Components
+
+- **Services Layer** (`services/`): Main business logic with dependency injection
+  - `RenderService`: Handles video rendering operations
+  - `TemplateService`: Manages video templates and resources
+  - `TaskService`: Orchestrates the complete task lifecycle
+  
+- **Entity Layer** (`entity/`): Data models and domain logic
+  - `RenderTask`: Core data model for rendering tasks
+  - `FFmpegCommandBuilder`: Generates FFmpeg commands from tasks
+  - `effects/`: Pluggable effect processing system (zoom, speed, skip, tail, cameraShot)
+
+- **Configuration** (`config/`): Centralized configuration management
+  - Environment-based configuration with dataclasses
+  - FFmpeg, API, Storage, and Server configurations
+
+- **Utilities** (`util/`): Common utilities for API, OSS, FFmpeg operations
+
+### Entry Points
+
+- **Web Service**: `app.py` - Flask application serving HTTP endpoints
+- **Worker Process**: `index.py` - Long-running task processor that polls for work
+- **Legacy Compatibility**: Maintains backward compatibility with older `entity/ffmpeg.py` and `biz/` modules
+
+## Common Commands
+
+### Running the Application
+
+```bash
+# Web service mode (Flask API)
+python app.py
+
+# Worker mode (background task processor)  
+python index.py
+
+# Worker with template redownload
+python index.py redownload
+```
+
+### Development Setup
+
+```bash
+# Install dependencies
+pip install -r requirements.txt
+
+# Environment setup
+cp .env.example .env
+# Edit .env with your configuration
+```
+
+### Building
+
+```bash
+# Build standalone executable
+pyinstaller index.spec
+
+# Build updater
+pyinstaller updater_helper.spec
+```
+
+## Key Environment Variables
+
+Required configuration (see `.env.example`):
+- `API_ENDPOINT`: Backend API endpoint
+- `ACCESS_KEY`: Authentication key
+- `TEMPLATE_DIR`: Directory for template storage
+- `ENCODER_ARGS`: FFmpeg encoder arguments (default: "-c:v h264")
+- `VIDEO_ARGS`: Video processing arguments
+- `OTLP_ENDPOINT`: OpenTelemetry endpoint for monitoring
+
+## Architecture Patterns
+
+### Service Layer Pattern
+All new code should use the service layer:
+
+```python
+from services import DefaultRenderService, DefaultTemplateService, DefaultTaskService
+
+# Dependency injection
+render_service = DefaultRenderService()
+template_service = DefaultTemplateService()
+task_service = DefaultTaskService(render_service, template_service)
+
+# Process tasks
+success = task_service.process_task(task_info)
+```
+
+### Effect Processing System
+Video effects use a pluggable architecture:
+
+```python
+from entity.effects import registry
+from entity.effects.base import EffectProcessor
+
+# Get existing effect
+processor = registry.get_processor('zoom', '0,2.0,1.5')
+
+# Register new effect
+class MyEffect(EffectProcessor):
+    def validate_params(self) -> bool:
+        return True
+    
+    def generate_filter_args(self, video_input: str, effect_index: int):
+        return filter_args, output_stream
+        
+    def get_effect_name(self) -> str:
+        return "myeffect"
+
+registry.register('myeffect', MyEffect)
+```
+
+### Task Processing Flow
+
+1. **Task Reception**: API receives task via HTTP endpoint or polling
+2. **Template Resolution**: Template service downloads/loads video templates
+3. **Task Creation**: Task service creates RenderTask with effects and resources
+4. **Command Building**: FFmpegCommandBuilder generates FFmpeg commands
+5. **Execution**: RenderService executes FFmpeg with monitoring
+6. **Cleanup**: Temporary files cleaned, results uploaded
+
+## Backward Compatibility
+
+The codebase maintains compatibility with legacy components:
+- `biz.task.start_task()` - Main task entry point
+- `entity.ffmpeg.FfmpegTask` - Legacy task object (now simplified)
+- `template.get_template_def()` - Template access
+
+These should work but new development should use the service layer.
+
+## FFmpeg Integration
+
+The system generates complex FFmpeg commands for video processing:
+- Supports effects chaining (zoom, speed changes, cropping)
+- Handles multiple input files and concatenation
+- Manages audio processing and overlays
+- Supports LUT color grading and subtitle embedding
+
+## Monitoring and Telemetry
+
+- **OpenTelemetry**: Distributed tracing for request monitoring
+- **Structured Logging**: Detailed logs for debugging
+- **Error Handling**: Custom exception types (`RenderError`, `FFmpegError`, `TemplateError`)
+
+## File Organization
+
+- Configuration and environment variables → `config/`
+- Business logic and services → `services/`
+- Data models and domain objects → `entity/`
+- HTTP API and external integrations → `util/`
+- Legacy compatibility layer → `biz/`
+- Application entry points → `app.py`, `index.py`
+
+## Working with Templates
+
+Templates define video processing workflows:
+- Downloaded from remote API and cached locally
+- Support video parts, effects, overlays, and audio
+- Use placeholder system for dynamic content
+- Managed by `TemplateService` with automatic updates
+
+## Development Notes
+
+- The project recently underwent major architectural refactoring from monolithic to layered design
+- New features should use the services layer and effect processor system
+- Legacy code is maintained for compatibility but simplified
+- All video processing ultimately uses FFmpeg with generated command lines
+- The system supports both synchronous (web) and asynchronous (worker) operation modes

Jenkinsfile

@@ -0,0 +1,347 @@
+pipeline {
+    agent any
+
+    environment {
+        // 环境变量
+        PYTHON_VERSION = '3.9'
+        VENV_NAME = 'venv'
+        TEST_REPORTS_DIR = 'test-reports'
+        COVERAGE_DIR = 'coverage-reports'
+        // 设置Python模块路径
+        PYTHONPATH = "${WORKSPACE}"
+    }
+
+    stages {
+        stage('Preparation') {
+            steps {
+                script {
+                    // 清理工作空间
+                    echo 'Cleaning workspace...'
+                    deleteDir()
+
+                    // 检出代码
+                    checkout scm
+
+                    // 创建报告目录
+                    sh """
+                        mkdir -p ${TEST_REPORTS_DIR}
+                        mkdir -p ${COVERAGE_DIR}
+                    """
+                }
+            }
+        }
+
+        stage('Environment Setup') {
+            steps {
+                script {
+                    echo 'Setting up Python environment...'
+                    sh """
+                        # 创建虚拟环境
+                        python${PYTHON_VERSION} -m venv ${VENV_NAME}
+
+                        # 激活虚拟环境并安装依赖
+                        . ${VENV_NAME}/bin/activate
+                        pip config set global.index-url https://mirrors.ustc.edu.cn/pypi/simple
+
+                        # 设置PYTHONPATH
+                        export PYTHONPATH=\${PWD}:\$PYTHONPATH
+
+                        # 升级pip
+                        pip install --upgrade pip
+
+                        # 安装项目依赖
+                        pip install -r requirements.txt
+
+                        # 安装测试依赖
+                        pip install -r requirements-test.txt
+
+                        # 验证FFmpeg可用性
+                        which ffmpeg || echo "Warning: FFmpeg not found, integration tests may be skipped"
+                    """
+                }
+            }
+        }
+
+        stage('Code Quality Check') {
+            parallel {
+                stage('Linting') {
+                    steps {
+                        script {
+                            echo 'Running code linting...'
+                            sh """
+                                . ${VENV_NAME}/bin/activate
+                                export PYTHONPATH=\${PWD}:\$PYTHONPATH
+
+                                # 运行flake8检查（使用项目配置.flake8）
+                                flake8 entity/ services/ --output-file=${TEST_REPORTS_DIR}/flake8-report.txt --tee || true
+
+                                # 运行black格式检查
+                                black --check --diff --line-length 88 entity/ services/ > ${TEST_REPORTS_DIR}/black-report.txt || true
+                            """
+                        }
+                    }
+                }
+
+                stage('Type Checking') {
+                    steps {
+                        script {
+                            echo 'Running type checking with mypy...'
+                            sh """
+                                . ${VENV_NAME}/bin/activate
+                                export PYTHONPATH=\${PWD}:\$PYTHONPATH
+
+                                # 运行mypy类型检查
+                                mypy --explicit-package-bases services/ entity/ > ${TEST_REPORTS_DIR}/mypy-report.txt || true
+                            """
+                        }
+                    }
+                }
+            }
+            post {
+                always {
+                    // 发布代码质量报告（等待所有并行任务完成后统一发布）
+                    publishHTML([
+                        allowMissing: true,
+                        alwaysLinkToLastBuild: true,
+                        keepAll: true,
+                        reportDir: TEST_REPORTS_DIR,
+                        reportFiles: 'flake8-report.txt,black-report.txt,mypy-report.txt',
+                        reportName: 'Code Quality Report'
+                    ])
+                }
+            }
+        }
+
+        stage('Unit Tests') {
+            steps {
+                script {
+                    echo 'Running unit tests...'
+                    sh """
+                        . ${VENV_NAME}/bin/activate
+                        export PYTHONPATH=\${PWD}:\$PYTHONPATH
+
+                        # 运行单元测试
+                        pytest tests/test_effects/ tests/test_ffmpeg_builder/ \\
+                            --junitxml=${TEST_REPORTS_DIR}/unit-tests.xml \\
+                            --html=${TEST_REPORTS_DIR}/unit-tests.html \\
+                            --self-contained-html \\
+                            --cov=entity \\
+                            --cov=services \\
+                            --cov-report=xml:${COVERAGE_DIR}/unit-coverage.xml \\
+                            --cov-branch \\
+                            -v \\
+                            -m "not integration"
+                    """
+                }
+            }
+            post {
+                always {
+                    // 发布单元测试结果
+                    junit "${TEST_REPORTS_DIR}/unit-tests.xml"
+
+                    // 发布HTML测试报告
+                    publishHTML([
+                        allowMissing: false,
+                        alwaysLinkToLastBuild: true,
+                        keepAll: true,
+                        reportDir: TEST_REPORTS_DIR,
+                        reportFiles: 'unit-tests.html',
+                        reportName: 'Unit Tests Report'
+                    ])
+                }
+            }
+        }
+
+        stage('Integration Tests') {
+            when {
+                // 只在有FFmpeg的环境中运行集成测试
+                expression {
+                    return sh(
+                        script: 'which ffmpeg',
+                        returnStatus: true
+                    ) == 0
+                }
+            }
+            steps {
+                script {
+                    echo 'Running integration tests...'
+                    sh """
+                        . ${VENV_NAME}/bin/activate
+                        export PYTHONPATH=\${PWD}:\$PYTHONPATH
+
+                        # 运行集成测试
+                        pytest tests/test_integration/ \\
+                            --junitxml=${TEST_REPORTS_DIR}/integration-tests.xml \\
+                            --html=${TEST_REPORTS_DIR}/integration-tests.html \\
+                            --self-contained-html \\
+                            --cov=entity \\
+                            --cov=services \\
+                            --cov-report=xml:${COVERAGE_DIR}/integration-coverage.xml \\
+                            --cov-branch \\
+                            --timeout=300 \\
+                            -v \\
+                            -m "integration"
+                    """
+                }
+            }
+            post {
+                always {
+                    // 发布集成测试结果
+                    junit "${TEST_REPORTS_DIR}/integration-tests.xml"
+
+                    // 发布HTML集成测试报告
+                    publishHTML([
+                        allowMissing: false,
+                        alwaysLinkToLastBuild: true,
+                        keepAll: true,
+                        reportDir: TEST_REPORTS_DIR,
+                        reportFiles: 'integration-tests.html',
+                        reportName: 'Integration Tests Report'
+                    ])
+                }
+            }
+        }
+
+        stage('Complete Test Suite') {
+            steps {
+                script {
+                    echo 'Running complete test suite with coverage...'
+                    sh """
+                        . ${VENV_NAME}/bin/activate
+                        export PYTHONPATH=\${PWD}:\$PYTHONPATH
+
+                        # 运行完整测试套件
+                        pytest tests/ \\
+                            --junitxml=${TEST_REPORTS_DIR}/all-tests.xml \\
+                            --html=${TEST_REPORTS_DIR}/all-tests.html \\
+                            --self-contained-html \\
+                            --cov=entity \\
+                            --cov=services \\
+                            --cov-report=xml:${COVERAGE_DIR}/coverage.xml \\
+                            --cov-report=term-missing \\
+                            --cov-branch \\
+                            --cov-fail-under=70 \\
+                            -v
+                    """
+                }
+            }
+            post {
+                always {
+                    // 发布完整测试结果
+                    junit "${TEST_REPORTS_DIR}/all-tests.xml"
+
+                    // 发布代码覆盖率报告
+                    publishCoverage([
+                        adapters: [
+                            [
+                                mergeToOneReport: true,
+                                path: "${COVERAGE_DIR}/coverage.xml"
+                            ]
+                        ],
+                        sourceFileResolver: [
+                            [
+                                level: 'NEVER_STORE'
+                            ]
+                        ]
+                    ])
+
+
+                    // 发布完整测试HTML报告
+                    publishHTML([
+                        allowMissing: false,
+                        alwaysLinkToLastBuild: true,
+                        keepAll: true,
+                        reportDir: TEST_REPORTS_DIR,
+                        reportFiles: 'all-tests.html',
+                        reportName: 'Complete Test Report'
+                    ])
+                }
+            }
+        }
+
+        stage('Performance Tests') {
+            when {
+                // 只在主分支或发布分支运行性能测试
+                anyOf {
+                    branch 'master'
+                    branch 'main'
+                    branch 'release/*'
+                }
+            }
+            steps {
+                script {
+                    echo 'Running performance tests...'
+                    sh """
+                        . ${VENV_NAME}/bin/activate
+                        export PYTHONPATH=\${PWD}:\$PYTHONPATH
+
+                        # 运行性能测试
+                        RUN_STRESS_TESTS=1 pytest tests/test_integration/test_ffmpeg_execution.py::TestFFmpegExecution::test_stress_test_large_effects_chain \\
+                            --benchmark-json=${TEST_REPORTS_DIR}/benchmark.json \\
+                            --html=${TEST_REPORTS_DIR}/performance-tests.html \\
+                            --self-contained-html \\
+                            -v \\
+                            -m "stress" || true
+                    """
+                }
+            }
+            post {
+                always {
+                    // 发布性能测试报告
+                    publishHTML([
+                        allowMissing: true,
+                        alwaysLinkToLastBuild: true,
+                        keepAll: true,
+                        reportDir: TEST_REPORTS_DIR,
+                        reportFiles: 'performance-tests.html',
+                        reportName: 'Performance Tests Report'
+                    ])
+                }
+            }
+        }
+    }
+
+    post {
+        always {
+            // 清理虚拟环境
+            sh """
+                rm -rf ${VENV_NAME}
+            """
+
+            // 归档测试报告
+            archiveArtifacts artifacts: "${TEST_REPORTS_DIR}/**/*", allowEmptyArchive: true
+            archiveArtifacts artifacts: "${COVERAGE_DIR}/**/*", allowEmptyArchive: true
+        }
+
+        success {
+            echo 'All tests passed successfully!'
+
+            // 发送成功通知
+            script {
+                if (env.BRANCH_NAME == 'master' || env.BRANCH_NAME == 'main') {
+                    // 这里可以添加Slack、邮件或其他通知
+                    echo 'Sending success notification...'
+                }
+            }
+        }
+
+        failure {
+            echo 'Tests failed!'
+
+            // 发送失败通知
+            script {
+                // 这里可以添加Slack、邮件或其他通知
+                echo 'Sending failure notification...'
+            }
+        }
+
+        unstable {
+            echo 'Tests completed with warnings!'
+        }
+
+        cleanup {
+            // 清理临时文件
+            deleteDir()
+        }
+    }
+}

app.py

@@ -0,0 +1,71 @@
+import time
+
+import flask
+
+import config
+import biz.task
+from services import DefaultTemplateService
+from telemetry import init_opentelemetry
+from util import api
+
+# 使用新的服务容器架构
+from services.service_container import get_template_service, register_default_services
+
+# 确保服务已注册
+register_default_services()
+template_service = get_template_service()
+
+import logging
+
+LOGGER = logging.getLogger(__name__)
+init_opentelemetry(batch=False)
+app = flask.Flask(__name__)
+
+
+@app.get("/health/check")
+def health_check():
+    return api.sync_center()
+
+
+@app.post("/")
+def do_nothing():
+    return "NOOP"
+
+
+@app.post("/<task_id>")
+def do_task(task_id):
+    try:
+        task_info = api.get_task_info(task_id)
+        if not task_info:
+            LOGGER.error("Failed to get task info for task: %s", task_id)
+            return "Failed to get task info", 400
+
+        template_id = task_info.get("templateId")
+        if not template_id:
+            LOGGER.error("Task %s missing templateId", task_id)
+            return "Missing templateId", 400
+
+        local_template_info = template_service.get_template(template_id)
+        template_info = api.get_template_info(template_id)
+
+        if not template_info:
+            LOGGER.error("Failed to get template info for template: %s", template_id)
+            return "Failed to get template info", 400
+
+        if local_template_info:
+            if local_template_info.get("updateTime") != template_info.get("updateTime"):
+                LOGGER.info("Template %s needs update, downloading...", template_id)
+                if not template_service.download_template(template_id):
+                    LOGGER.error("Failed to download template: %s", template_id)
+                    return "Failed to download template", 500
+
+        biz.task.start_task(task_info)
+        return "OK"
+
+    except Exception as e:
+        LOGGER.error("Error processing task %s: %s", task_id, e, exc_info=True)
+        return "Internal server error", 500
+
+
+if __name__ == "__main__":
+    app.run(host="0.0.0.0", port=9998)

biz/ffmpeg.py

@@ -0,0 +1,144 @@
+import json
+import os.path
+import time
+from concurrent.futures import ThreadPoolExecutor
+
+from opentelemetry.trace import Status, StatusCode
+
+# 使用新架构组件，保持对旧FfmpegTask的兼容
+from entity.ffmpeg import FfmpegTask
+from entity.render_task import RenderTask, TaskType
+from services import DefaultRenderService
+import logging
+
+from util import ffmpeg, oss
+from util.ffmpeg import fade_out_audio
+from telemetry import get_tracer
+
+logger = logging.getLogger("biz/ffmpeg")
+_render_service = None
+
+
+def _get_render_service():
+    """获取渲染服务实例"""
+    global _render_service
+    if _render_service is None:
+        _render_service = DefaultRenderService()
+    return _render_service
+
+
+def parse_ffmpeg_task(task_info, template_info):
+    """
+    解析FFmpeg任务 - 保留用于向后兼容
+    实际处理逻辑已迁移到 services.TaskService.create_render_task
+    """
+    logger.warning(
+        "parse_ffmpeg_task is deprecated, use TaskService.create_render_task instead"
+    )
+
+    # 使用新的任务服务创建任务
+    from services import (
+        DefaultTaskService,
+        DefaultRenderService,
+        DefaultTemplateService,
+    )
+
+    render_service = DefaultRenderService()
+    template_service = DefaultTemplateService()
+    task_service = DefaultTaskService(render_service, template_service)
+
+    # 创建新的渲染任务
+    render_task = task_service.create_render_task(task_info, template_info)
+
+    # 为了向后兼容，创建一个FfmpegTask包装器
+    ffmpeg_task = FfmpegTask(
+        render_task.input_files, output_file=render_task.output_file
+    )
+    ffmpeg_task.resolution = render_task.resolution
+    ffmpeg_task.frame_rate = render_task.frame_rate
+    ffmpeg_task.annexb = render_task.annexb
+    ffmpeg_task.center_cut = render_task.center_cut
+    ffmpeg_task.zoom_cut = render_task.zoom_cut
+    ffmpeg_task.ext_data = render_task.ext_data
+    ffmpeg_task.effects = render_task.effects
+    ffmpeg_task.luts = render_task.luts
+    ffmpeg_task.audios = render_task.audios
+    ffmpeg_task.overlays = render_task.overlays
+
+    return ffmpeg_task
+
+
+# 以下函数已迁移到新架构，保留用于向后兼容
+def parse_video(source, task_params, template_info):
+    """已迁移到 TaskService._parse_video_source"""
+    logger.warning("parse_video is deprecated, functionality moved to TaskService")
+    return source, {}
+
+
+def check_placeholder_exist(placeholder_id, task_params):
+    """已迁移到 TaskService._check_placeholder_exist_with_count"""
+    logger.warning(
+        "check_placeholder_exist is deprecated, functionality moved to TaskService"
+    )
+    return placeholder_id in task_params
+
+
+def check_placeholder_exist_with_count(placeholder_id, task_params, required_count=1):
+    """已迁移到 TaskService._check_placeholder_exist_with_count"""
+    logger.warning(
+        "check_placeholder_exist_with_count is deprecated, functionality moved to TaskService"
+    )
+    if placeholder_id in task_params:
+        new_sources = task_params.get(placeholder_id, [])
+        if isinstance(new_sources, list):
+            return len(new_sources) >= required_count
+        return required_count <= 1
+    return False
+
+
+def start_ffmpeg_task(ffmpeg_task):
+    """启动FFmpeg任务 - 使用新的渲染服务"""
+    tracer = get_tracer(__name__)
+    with tracer.start_as_current_span("start_ffmpeg_task") as span:
+        try:
+            # 使用新的渲染服务
+            render_service = _get_render_service()
+            result = render_service.render(ffmpeg_task)
+
+            if result:
+                span.set_status(Status(StatusCode.OK))
+            else:
+                span.set_status(Status(StatusCode.ERROR))
+
+            return result
+
+        except Exception as e:
+            span.set_status(Status(StatusCode.ERROR))
+            logger.error(f"FFmpeg task failed: {e}", exc_info=True)
+            return False
+
+
+def clear_task_tmp_file(ffmpeg_task):
+    """清理临时文件 - 已迁移到 TaskService._cleanup_temp_files"""
+    logger.warning(
+        "clear_task_tmp_file is deprecated, functionality moved to TaskService"
+    )
+    try:
+        template_dir = os.getenv("TEMPLATE_DIR", "")
+        output_file = ffmpeg_task.get_output_file()
+        if template_dir and template_dir not in output_file:
+            if os.path.exists(output_file):
+                os.remove(output_file)
+                logger.info("Cleaned up temp file: %s", output_file)
+        else:
+            logger.info("Skipped cleanup of template file: %s", output_file)
+        return True
+    except OSError as e:
+        logger.warning("Failed to cleanup temp file %s: %s", output_file, e)
+        return False
+
+
+def probe_video_info(ffmpeg_task):
+    """获取视频长度宽度和时长 - 使用新的渲染服务"""
+    render_service = _get_render_service()
+    return render_service.get_video_info(ffmpeg_task.get_output_file())

biz/task.py

@@ -0,0 +1,39 @@
+import json
+import logging
+
+from opentelemetry.trace import Status, StatusCode
+
+# 使用新的服务容器架构
+from services.service_container import get_task_service, register_default_services
+from telemetry import get_tracer
+
+logger = logging.getLogger(__name__)
+
+# 确保服务已注册
+register_default_services()
+
+
+def start_task(task_info):
+    """启动任务处理（保持向后兼容的接口）"""
+    tracer = get_tracer(__name__)
+    with tracer.start_as_current_span("start_task_legacy") as span:
+        try:
+            # 使用服务容器获取任务服务
+            task_service = get_task_service()
+
+            # 使用新的任务服务处理
+            result = task_service.process_task(task_info)
+
+            if result:
+                span.set_status(Status(StatusCode.OK))
+                logger.info("Task completed successfully: %s", task_info.get("id"))
+            else:
+                span.set_status(Status(StatusCode.ERROR))
+                logger.error("Task failed: %s", task_info.get("id"))
+
+            return None  # 保持原有返回值格式
+
+        except Exception as e:
+            span.set_status(Status(StatusCode.ERROR))
+            logger.error("Task processing failed: %s", e, exc_info=True)
+            return None

config/__init__.py

@@ -0,0 +1,31 @@
+import datetime
+import logging
+from logging.handlers import TimedRotatingFileHandler
+from dotenv import load_dotenv
+
+# 导入新的配置系统，保持向后兼容
+from .settings import (
+    get_config,
+    get_ffmpeg_config,
+    get_api_config,
+    get_storage_config,
+    get_server_config,
+)
+
+load_dotenv()
+logging.basicConfig(level=logging.INFO)
+root_logger = logging.getLogger()
+rf_handler = TimedRotatingFileHandler("all_log.log", when="midnight")
+rf_handler.setFormatter(
+    logging.Formatter("[%(asctime)s][%(name)s]%(levelname)s - %(message)s")
+)
+rf_handler.setLevel(logging.DEBUG)
+f_handler = TimedRotatingFileHandler("error.log", when="midnight")
+f_handler.setLevel(logging.ERROR)
+f_handler.setFormatter(
+    logging.Formatter(
+        "[%(asctime)s][%(name)s][:%(lineno)d]%(levelname)s -  - %(message)s"
+    )
+)
+root_logger.addHandler(rf_handler)
+root_logger.addHandler(f_handler)

config/settings.py

@@ -0,0 +1,181 @@
+import os
+from dataclasses import dataclass
+from typing import Dict, List, Optional, Union
+import logging
+from dotenv import load_dotenv
+
+load_dotenv()
+
+
+@dataclass
+class FFmpegConfig:
+    """FFmpeg相关配置"""
+
+    encoder_args: List[str]
+    video_args: List[str]
+    audio_args: List[str]
+    default_args: List[str]
+    old_ffmpeg: bool = False
+    re_encode_video_args: Optional[List[str]] = None
+    re_encode_encoder_args: Optional[List[str]] = None
+
+    # 新增配置选项，消除硬编码
+    max_download_workers: int = 8
+    progress_args: Optional[List[str]] = None
+    loglevel_args: Optional[List[str]] = None
+    null_audio_args: Optional[List[str]] = None
+    overlay_scale_mode: str = "scale2ref"  # 新版本使用scale2ref，旧版本使用scale
+    amix_args: Optional[List[str]] = None
+
+    @classmethod
+    def from_env(cls) -> "FFmpegConfig":
+        encoder_args = os.getenv("ENCODER_ARGS", "-c:v h264").split(" ")
+        video_args = os.getenv("VIDEO_ARGS", "-profile:v high -level:v 4").split(" ")
+        audio_args = ["-c:a", "aac", "-b:a", "128k", "-ar", "48000", "-ac", "2"]
+        default_args = ["-shortest"]
+
+        re_encode_video_args = None
+        re_encode_video_env = os.getenv("RE_ENCODE_VIDEO_ARGS")
+        if re_encode_video_env:
+            re_encode_video_args = re_encode_video_env.split(" ")
+
+        re_encode_encoder_args = None
+        re_encode_encoder_env = os.getenv("RE_ENCODE_ENCODER_ARGS")
+        if re_encode_encoder_env:
+            re_encode_encoder_args = re_encode_encoder_env.split(" ")
+
+        # 新增配置项的默认值
+        progress_args = ["-progress", "-"]
+        loglevel_args = ["-loglevel", "error"]
+        null_audio_args = ["-f", "lavfi", "-i", "anullsrc=cl=stereo:r=48000"]
+        amix_args = ["amix=duration=shortest:dropout_transition=0:normalize=0"]
+        overlay_scale_mode = (
+            "scale" if bool(os.getenv("OLD_FFMPEG", False)) else "scale2ref"
+        )
+
+        return cls(
+            encoder_args=encoder_args,
+            video_args=video_args,
+            audio_args=audio_args,
+            default_args=default_args,
+            old_ffmpeg=bool(os.getenv("OLD_FFMPEG", False)),
+            re_encode_video_args=re_encode_video_args,
+            re_encode_encoder_args=re_encode_encoder_args,
+            max_download_workers=int(os.getenv("MAX_DOWNLOAD_WORKERS", "8")),
+            progress_args=progress_args,
+            loglevel_args=loglevel_args,
+            null_audio_args=null_audio_args,
+            overlay_scale_mode=overlay_scale_mode,
+            amix_args=amix_args,
+        )
+
+
+@dataclass
+class APIConfig:
+    """API相关配置"""
+
+    endpoint: str
+    access_key: str
+    timeout: int = 10
+    redirect_to_url: Optional[str] = None
+
+    @classmethod
+    def from_env(cls) -> "APIConfig":
+        endpoint = os.getenv("API_ENDPOINT", "")
+        if not endpoint:
+            raise ValueError("API_ENDPOINT environment variable is required")
+
+        access_key = os.getenv("ACCESS_KEY", "")
+        if not access_key:
+            raise ValueError("ACCESS_KEY environment variable is required")
+
+        return cls(
+            endpoint=endpoint,
+            access_key=access_key,
+            timeout=int(os.getenv("API_TIMEOUT", "10")),
+            redirect_to_url=os.getenv("REDIRECT_TO_URL") or None,
+        )
+
+
+@dataclass
+class StorageConfig:
+    """存储相关配置"""
+
+    template_dir: str
+
+    @classmethod
+    def from_env(cls) -> "StorageConfig":
+        template_dir = os.getenv("TEMPLATE_DIR", "./template")
+        return cls(template_dir=template_dir)
+
+
+@dataclass
+class ServerConfig:
+    """服务器相关配置"""
+
+    host: str = "0.0.0.0"
+    port: int = 9998
+    debug: bool = False
+
+    @classmethod
+    def from_env(cls) -> "ServerConfig":
+        return cls(
+            host=os.getenv("HOST", "0.0.0.0"),
+            port=int(os.getenv("PORT", "9998")),
+            debug=bool(os.getenv("DEBUG", False)),
+        )
+
+
+@dataclass
+class AppConfig:
+    """应用总配置"""
+
+    ffmpeg: FFmpegConfig
+    api: APIConfig
+    storage: StorageConfig
+    server: ServerConfig
+
+    @classmethod
+    def from_env(cls) -> "AppConfig":
+        return cls(
+            ffmpeg=FFmpegConfig.from_env(),
+            api=APIConfig.from_env(),
+            storage=StorageConfig.from_env(),
+            server=ServerConfig.from_env(),
+        )
+
+
+# 全局配置实例
+_config: Optional[AppConfig] = None
+
+
+def get_config() -> AppConfig:
+    """获取全局配置实例"""
+    global _config
+    if _config is None:
+        _config = AppConfig.from_env()
+    return _config
+
+
+def reload_config() -> AppConfig:
+    """重新加载配置"""
+    global _config
+    _config = AppConfig.from_env()
+    return _config
+
+
+# 向后兼容的配置获取函数
+def get_ffmpeg_config() -> FFmpegConfig:
+    return get_config().ffmpeg
+
+
+def get_api_config() -> APIConfig:
+    return get_config().api
+
+
+def get_storage_config() -> StorageConfig:
+    return get_config().storage
+
+
+def get_server_config() -> ServerConfig:
+    return get_config().server

constant/__init__.py

@@ -1,99 +1,9 @@
-# -*- coding: utf-8 -*-
+SUPPORT_FEATURE = (
-"""
+    "simple_render_algo",
-常量定义
+    "gpu_accelerate",
-
+    "hevc_encode",
-v2 版本常量，用于 Render Worker v2 API。
+    "rapid_download",
-"""
+    "rclone_upload",
-
+    "custom_re_encode",
-# 软件版本
-SOFTWARE_VERSION = '2.0.0'
-
-# 支持的任务类型
-TASK_TYPES = (
-    'RENDER_SEGMENT_VIDEO',
-    'COMPOSE_TRANSITION',
-    'PREPARE_JOB_AUDIO',
-    'PACKAGE_SEGMENT_TS',
-    'FINALIZE_MP4',
 )
-
+SOFTWARE_VERSION = "0.0.5"
-# 默认能力
-DEFAULT_CAPABILITIES = list(TASK_TYPES)
-
-# 支持的转场类型（对应 FFmpeg xfade 参数）
-TRANSITION_TYPES = (
-    'fade',       # 淡入淡出（默认）
-    'dissolve',   # 溶解过渡
-    'wipeleft',   # 向左擦除
-    'wiperight',  # 向右擦除
-    'wipeup',     # 向上擦除
-    'wipedown',   # 向下擦除
-    'slideleft',  # 向左滑动
-    'slideright', # 向右滑动
-    'slideup',    # 向上滑动
-    'slidedown',  # 向下滑动
-)
-
-# 支持的特效类型
-EFFECT_TYPES = (
-    'cameraShot',  # 相机定格效果：在指定时间点冻结画面
-    'zoom',        # 缩放效果（预留）
-    'blur',        # 模糊效果（预留）
-)
-
-# 硬件加速类型
-HW_ACCEL_NONE = 'none'      # 纯软件编解码
-HW_ACCEL_QSV = 'qsv'        # Intel Quick Sync Video (核显/独显)
-HW_ACCEL_CUDA = 'cuda'      # NVIDIA NVENC/NVDEC
-
-HW_ACCEL_TYPES = (HW_ACCEL_NONE, HW_ACCEL_QSV, HW_ACCEL_CUDA)
-
-# 统一视频编码参数（软件编码，来自集成文档）
-VIDEO_ENCODE_PARAMS = {
-    'codec': 'libx264',
-    'preset': 'medium',
-    'profile': 'main',
-    'level': '4.0',
-    'crf': '23',
-    'pix_fmt': 'yuv420p',
-}
-
-# QSV 硬件加速视频编码参数（Intel Quick Sync）
-VIDEO_ENCODE_PARAMS_QSV = {
-    'codec': 'h264_qsv',
-    'preset': 'medium',          # QSV 支持: veryfast, faster, fast, medium, slow, slower, veryslow
-    'profile': 'main',
-    'level': '4.0',
-    'global_quality': '23',      # QSV 使用 global_quality 代替 crf（1-51，值越低质量越高）
-    'look_ahead': '1',           # 启用前瞻分析提升质量
-    'pix_fmt': 'nv12',           # QSV 硬件表面格式
-}
-
-# CUDA 硬件加速视频编码参数（NVIDIA NVENC）
-VIDEO_ENCODE_PARAMS_CUDA = {
-    'codec': 'h264_nvenc',
-    'preset': 'p4',              # NVENC 预设 p1-p7（p1 最快，p7 最慢/质量最高），p4 ≈ medium
-    'profile': 'main',
-    'level': '4.0',
-    'rc': 'vbr',                 # 码率控制模式：vbr 可变码率
-    'cq': '23',                  # 恒定质量模式的质量值（0-51）
-    'pix_fmt': 'yuv420p',        # NVENC 输入格式（会自动转换）
-}
-
-# 统一音频编码参数
-AUDIO_ENCODE_PARAMS = {
-    'codec': 'aac',
-    'bitrate': '128k',
-    'sample_rate': '48000',
-    'channels': '2',
-}
-
-# 错误码
-ERROR_CODES = {
-    'E_INPUT_UNAVAILABLE': '素材不可访问',
-    'E_FFMPEG_FAILED': 'FFmpeg 执行失败',
-    'E_UPLOAD_FAILED': '上传失败',
-    'E_SPEC_INVALID': '渲染规格非法',
-    'E_TIMEOUT': '执行超时',
-    'E_UNKNOWN': '未知错误',
-}

core/__init__.py

@@ -1,12 +0,0 @@
-# -*- coding: utf-8 -*-
-"""
-核心抽象层
-
-包含任务处理器抽象基类等核心接口定义。
-"""
-
-from core.handler import TaskHandler
-
-__all__ = [
-    'TaskHandler',
-]

core/handler.py

@@ -1,79 +0,0 @@
-# -*- coding: utf-8 -*-
-"""
-任务处理器抽象基类
-
-定义任务处理器的接口规范。
-"""
-
-from abc import ABC, abstractmethod
-from typing import TYPE_CHECKING
-
-if TYPE_CHECKING:
-    from domain.task import Task, TaskType
-    from domain.result import TaskResult
-
-
-class TaskHandler(ABC):
-    """
-    任务处理器抽象基类
-
-    所有任务处理器都必须继承此类并实现相应方法。
-    """
-
-    @abstractmethod
-    def handle(self, task: 'Task') -> 'TaskResult':
-        """
-        处理任务的主方法
-
-        Args:
-            task: 任务实体
-
-        Returns:
-            TaskResult: 任务结果（成功或失败）
-        """
-        pass
-
-    @abstractmethod
-    def get_supported_type(self) -> 'TaskType':
-        """
-        返回此处理器支持的任务类型
-
-        Returns:
-            TaskType: 支持的任务类型枚举值
-        """
-        pass
-
-    def before_handle(self, task: 'Task') -> None:
-        """
-        处理前钩子（可选重写）
-
-        用于任务执行前的准备工作，如日志记录、资源检查等。
-
-        Args:
-            task: 任务实体
-        """
-        pass
-
-    def after_handle(self, task: 'Task', result: 'TaskResult') -> None:
-        """
-        处理后钩子（可选重写）
-
-        用于任务执行后的清理工作，如资源释放、统计记录等。
-
-        Args:
-            task: 任务实体
-            result: 任务结果
-        """
-        pass
-
-    def validate_task(self, task: 'Task') -> bool:
-        """
-        验证任务是否有效（可选重写）
-
-        Args:
-            task: 任务实体
-
-        Returns:
-            bool: 任务是否有效
-        """
-        return True

domain/__init__.py

@@ -1,24 +0,0 @@
-# -*- coding: utf-8 -*-
-"""
-领域模型层
-
-包含任务实体、结果、配置等核心数据结构。
-"""
-
-from domain.task import Task, TaskType, TaskStatus, RenderSpec, OutputSpec, AudioSpec, AudioProfile
-from domain.result import TaskResult, ErrorCode, RETRY_CONFIG
-from domain.config import WorkerConfig
-
-__all__ = [
-    'Task',
-    'TaskType',
-    'TaskStatus',
-    'RenderSpec',
-    'OutputSpec',
-    'AudioSpec',
-    'AudioProfile',
-    'TaskResult',
-    'ErrorCode',
-    'RETRY_CONFIG',
-    'WorkerConfig',
-]

domain/config.py

@@ -1,183 +0,0 @@
-# -*- coding: utf-8 -*-
-"""
-Worker 配置模型
-
-定义 Worker 运行时的配置参数。
-"""
-
-import logging
-import os
-from dataclasses import dataclass, field
-from typing import List, Optional
-
-from constant import HW_ACCEL_NONE, HW_ACCEL_QSV, HW_ACCEL_CUDA, HW_ACCEL_TYPES
-
-logger = logging.getLogger(__name__)
-
-
-# 默认支持的任务类型
-DEFAULT_CAPABILITIES = [
-    "RENDER_SEGMENT_VIDEO",
-    "PREPARE_JOB_AUDIO",
-    "PACKAGE_SEGMENT_TS",
-    "FINALIZE_MP4"
-]
-
-
-@dataclass
-class WorkerConfig:
-    """
-    Worker 配置
-
-    包含 Worker 运行所需的所有配置参数。
-    """
-    # API 配置
-    api_endpoint: str
-    access_key: str
-    worker_id: str
-
-    # 并发控制
-    max_concurrency: int = 4
-
-    # 心跳配置
-    heartbeat_interval: int = 5  # 秒
-
-    # 租约配置
-    lease_extension_threshold: int = 60  # 秒，提前多久续期
-    lease_extension_duration: int = 300  # 秒，每次续期时长
-
-    # 目录配置
-    temp_dir: str = "/tmp/render_worker"
-
-    # 能力配置
-    capabilities: List[str] = field(default_factory=lambda: DEFAULT_CAPABILITIES.copy())
-
-    # FFmpeg 配置
-    ffmpeg_timeout: int = 3600  # 秒，FFmpeg 执行超时
-
-    # 下载/上传配置
-    download_timeout: int = 300  # 秒，下载超时
-    upload_timeout: int = 600  # 秒，上传超时
-
-    # 硬件加速配置
-    hw_accel: str = HW_ACCEL_NONE  # 硬件加速类型: none, qsv, cuda
-
-    # GPU 设备配置（多显卡调度）
-    gpu_devices: List[int] = field(default_factory=list)  # 空列表表示使用默认设备
-
-    # 素材缓存配置
-    cache_enabled: bool = True  # 是否启用素材缓存
-    cache_dir: str = ""  # 缓存目录，默认为 temp_dir/cache
-    cache_max_size_gb: float = 0  # 最大缓存大小（GB），0 表示不限制
-
-    @classmethod
-    def from_env(cls) -> 'WorkerConfig':
-        """从环境变量创建配置"""
-
-        # API 端点，优先使用 V2 版本
-        api_endpoint = os.getenv('API_ENDPOINT_V2') or os.getenv('API_ENDPOINT', '')
-        if not api_endpoint:
-            raise ValueError("API_ENDPOINT_V2 or API_ENDPOINT environment variable is required")
-
-        # Access Key
-        access_key = os.getenv('ACCESS_KEY', '')
-        if not access_key:
-            raise ValueError("ACCESS_KEY environment variable is required")
-
-        # Worker ID
-        worker_id = os.getenv('WORKER_ID', '100001')
-
-        # 并发数
-        max_concurrency = int(os.getenv('MAX_CONCURRENCY', '4'))
-
-        # 心跳间隔
-        heartbeat_interval = int(os.getenv('HEARTBEAT_INTERVAL', '5'))
-
-        # 租约配置
-        lease_extension_threshold = int(os.getenv('LEASE_EXTENSION_THRESHOLD', '60'))
-        lease_extension_duration = int(os.getenv('LEASE_EXTENSION_DURATION', '300'))
-
-        # 临时目录
-        temp_dir = os.getenv('TEMP_DIR', os.getenv('TEMP', '/tmp/render_worker'))
-
-        # 能力列表
-        capabilities_str = os.getenv('CAPABILITIES', '')
-        if capabilities_str:
-            capabilities = [c.strip() for c in capabilities_str.split(',') if c.strip()]
-        else:
-            capabilities = DEFAULT_CAPABILITIES.copy()
-
-        # FFmpeg 超时
-        ffmpeg_timeout = int(os.getenv('FFMPEG_TIMEOUT', '3600'))
-
-        # 下载/上传超时
-        download_timeout = int(os.getenv('DOWNLOAD_TIMEOUT', '300'))
-        upload_timeout = int(os.getenv('UPLOAD_TIMEOUT', '600'))
-
-        # 硬件加速配置
-        hw_accel = os.getenv('HW_ACCEL', HW_ACCEL_NONE).lower()
-        if hw_accel not in HW_ACCEL_TYPES:
-            hw_accel = HW_ACCEL_NONE
-
-        # GPU 设备列表（用于多显卡调度）
-        gpu_devices_str = os.getenv('GPU_DEVICES', '')
-        gpu_devices: List[int] = []
-        if gpu_devices_str:
-            try:
-                gpu_devices = [int(d.strip()) for d in gpu_devices_str.split(',') if d.strip()]
-            except ValueError:
-                logger.warning(f"Invalid GPU_DEVICES value: {gpu_devices_str}, using auto-detect")
-                gpu_devices = []
-
-        # 素材缓存配置
-        cache_enabled = os.getenv('CACHE_ENABLED', 'true').lower() in ('true', '1', 'yes')
-        cache_dir = os.getenv('CACHE_DIR', '')  # 空字符串表示使用默认路径
-        cache_max_size_gb = float(os.getenv('CACHE_MAX_SIZE_GB', '0'))
-
-        return cls(
-            api_endpoint=api_endpoint,
-            access_key=access_key,
-            worker_id=worker_id,
-            max_concurrency=max_concurrency,
-            heartbeat_interval=heartbeat_interval,
-            lease_extension_threshold=lease_extension_threshold,
-            lease_extension_duration=lease_extension_duration,
-            temp_dir=temp_dir,
-            capabilities=capabilities,
-            ffmpeg_timeout=ffmpeg_timeout,
-            download_timeout=download_timeout,
-            upload_timeout=upload_timeout,
-            hw_accel=hw_accel,
-            gpu_devices=gpu_devices,
-            cache_enabled=cache_enabled,
-            cache_dir=cache_dir if cache_dir else os.path.join(temp_dir, 'cache'),
-            cache_max_size_gb=cache_max_size_gb
-        )
-
-    def get_work_dir_path(self, task_id: str) -> str:
-        """获取任务工作目录路径"""
-        return os.path.join(self.temp_dir, f"task_{task_id}")
-
-    def ensure_temp_dir(self) -> None:
-        """确保临时目录存在"""
-        os.makedirs(self.temp_dir, exist_ok=True)
-
-    def is_hw_accel_enabled(self) -> bool:
-        """是否启用了硬件加速"""
-        return self.hw_accel != HW_ACCEL_NONE
-
-    def is_qsv(self) -> bool:
-        """是否使用 QSV 硬件加速"""
-        return self.hw_accel == HW_ACCEL_QSV
-
-    def is_cuda(self) -> bool:
-        """是否使用 CUDA 硬件加速"""
-        return self.hw_accel == HW_ACCEL_CUDA
-
-    def has_multi_gpu(self) -> bool:
-        """是否配置了多 GPU"""
-        return len(self.gpu_devices) > 1
-
-    def get_gpu_devices(self) -> List[int]:
-        """获取 GPU 设备列表"""
-        return self.gpu_devices.copy()

domain/gpu.py

@@ -1,31 +0,0 @@
-# -*- coding: utf-8 -*-
-"""
-GPU 设备模型
-
-定义 GPU 设备的数据结构。
-"""
-
-from dataclasses import dataclass
-from typing import Optional
-
-
-@dataclass
-class GPUDevice:
-    """
-    GPU 设备信息
-
-    Attributes:
-        index: 设备索引（对应 nvidia-smi 中的 GPU ID）
-        name: 设备名称（如 "NVIDIA GeForce RTX 3090"）
-        memory_total: 显存总量（MB），可选
-        available: 设备是否可用
-    """
-    index: int
-    name: str
-    memory_total: Optional[int] = None
-    available: bool = True
-
-    def __str__(self) -> str:
-        status = "available" if self.available else "unavailable"
-        mem_info = f", {self.memory_total}MB" if self.memory_total else ""
-        return f"GPU[{self.index}]: {self.name}{mem_info} ({status})"

domain/result.py

@@ -1,105 +0,0 @@
-# -*- coding: utf-8 -*-
-"""
-任务结果模型
-
-定义错误码、重试配置、任务结果等数据结构。
-"""
-
-from enum import Enum
-from dataclasses import dataclass
-from typing import Optional, Dict, Any, List
-
-
-class ErrorCode(Enum):
-    """错误码枚举"""
-    E_INPUT_UNAVAILABLE = "E_INPUT_UNAVAILABLE"   # 素材不可访问/404
-    E_FFMPEG_FAILED = "E_FFMPEG_FAILED"           # FFmpeg 执行失败
-    E_UPLOAD_FAILED = "E_UPLOAD_FAILED"           # 上传失败
-    E_SPEC_INVALID = "E_SPEC_INVALID"             # renderSpec 非法
-    E_TIMEOUT = "E_TIMEOUT"                        # 执行超时
-    E_UNKNOWN = "E_UNKNOWN"                        # 未知错误
-
-
-# 重试配置
-RETRY_CONFIG: Dict[ErrorCode, Dict[str, Any]] = {
-    ErrorCode.E_INPUT_UNAVAILABLE: {
-        'max_retries': 3,
-        'backoff': [1, 2, 5]  # 重试间隔（秒）
-    },
-    ErrorCode.E_FFMPEG_FAILED: {
-        'max_retries': 2,
-        'backoff': [1, 3]
-    },
-    ErrorCode.E_UPLOAD_FAILED: {
-        'max_retries': 3,
-        'backoff': [1, 2, 5]
-    },
-    ErrorCode.E_SPEC_INVALID: {
-        'max_retries': 0,  # 不重试
-        'backoff': []
-    },
-    ErrorCode.E_TIMEOUT: {
-        'max_retries': 2,
-        'backoff': [5, 10]
-    },
-    ErrorCode.E_UNKNOWN: {
-        'max_retries': 1,
-        'backoff': [2]
-    },
-}
-
-
-@dataclass
-class TaskResult:
-    """
-    任务结果
-
-    封装任务执行的结果，包括成功数据或失败信息。
-    """
-    success: bool
-    data: Optional[Dict[str, Any]] = None
-    error_code: Optional[ErrorCode] = None
-    error_message: Optional[str] = None
-
-    @classmethod
-    def ok(cls, data: Dict[str, Any]) -> 'TaskResult':
-        """创建成功结果"""
-        return cls(success=True, data=data)
-
-    @classmethod
-    def fail(cls, error_code: ErrorCode, error_message: str) -> 'TaskResult':
-        """创建失败结果"""
-        return cls(
-            success=False,
-            error_code=error_code,
-            error_message=error_message
-        )
-
-    def to_report_dict(self) -> Dict[str, Any]:
-        """
-        转换为上报格式
-
-        用于 API 上报时的数据格式转换。
-        """
-        if self.success:
-            return {'result': self.data}
-        else:
-            return {
-                'errorCode': self.error_code.value if self.error_code else 'E_UNKNOWN',
-                'errorMessage': self.error_message or 'Unknown error'
-            }
-
-    def can_retry(self) -> bool:
-        """是否可以重试"""
-        if self.success:
-            return False
-        if not self.error_code:
-            return True
-        config = RETRY_CONFIG.get(self.error_code, {})
-        return config.get('max_retries', 0) > 0
-
-    def get_retry_config(self) -> Dict[str, Any]:
-        """获取重试配置"""
-        if not self.error_code:
-            return {'max_retries': 1, 'backoff': [2]}
-        return RETRY_CONFIG.get(self.error_code, {'max_retries': 1, 'backoff': [2]})

domain/task.py

@@ -1,554 +0,0 @@
-# -*- coding: utf-8 -*-
-"""
-任务领域模型
-
-定义任务类型、任务实体、渲染规格、输出规格等数据结构。
-"""
-
-from enum import Enum
-from dataclasses import dataclass, field
-from typing import Dict, Any, Optional, List
-from datetime import datetime
-from urllib.parse import urlparse, unquote
-import os
-
-
-# 支持的图片扩展名
-IMAGE_EXTENSIONS = {'.jpg', '.jpeg', '.png', '.webp', '.bmp', '.gif'}
-
-
-class TaskType(Enum):
-    """任务类型枚举"""
-    RENDER_SEGMENT_VIDEO = "RENDER_SEGMENT_VIDEO"  # 渲染视频片段
-    COMPOSE_TRANSITION = "COMPOSE_TRANSITION"      # 合成转场效果
-    PREPARE_JOB_AUDIO = "PREPARE_JOB_AUDIO"        # 生成全局音频
-    PACKAGE_SEGMENT_TS = "PACKAGE_SEGMENT_TS"      # 封装 TS 分片
-    FINALIZE_MP4 = "FINALIZE_MP4"                  # 产出最终 MP4
-
-
-# 支持的转场类型（对应 FFmpeg xfade 参数）
-TRANSITION_TYPES = {
-    'fade': 'fade',           # 淡入淡出（默认）
-    'dissolve': 'dissolve',   # 溶解过渡
-    'wipeleft': 'wipeleft',   # 向左擦除
-    'wiperight': 'wiperight', # 向右擦除
-    'wipeup': 'wipeup',       # 向上擦除
-    'wipedown': 'wipedown',   # 向下擦除
-    'slideleft': 'slideleft', # 向左滑动
-    'slideright': 'slideright', # 向右滑动
-    'slideup': 'slideup',     # 向上滑动
-    'slidedown': 'slidedown', # 向下滑动
-}
-
-# 支持的特效类型
-EFFECT_TYPES = {
-    'cameraShot',  # 相机定格效果
-    'zoom',        # 缩放效果（预留）
-    'blur',        # 模糊效果（预留）
-}
-
-
-class TaskStatus(Enum):
-    """任务状态枚举"""
-    PENDING = "PENDING"
-    RUNNING = "RUNNING"
-    SUCCESS = "SUCCESS"
-    FAILED = "FAILED"
-
-
-@dataclass
-class TransitionConfig:
-    """
-    转场配置
-
-    用于 RENDER_SEGMENT_VIDEO 任务的入场/出场转场配置。
-    """
-    type: str = "fade"       # 转场类型
-    duration_ms: int = 500   # 转场时长（毫秒）
-
-    @classmethod
-    def from_dict(cls, data: Optional[Dict]) -> Optional['TransitionConfig']:
-        """从字典创建 TransitionConfig"""
-        if not data:
-            return None
-        trans_type = data.get('type', 'fade')
-        # 验证转场类型是否支持
-        if trans_type not in TRANSITION_TYPES:
-            trans_type = 'fade'
-        return cls(
-            type=trans_type,
-            duration_ms=int(data.get('durationMs', 500))
-        )
-
-    def get_overlap_ms(self) -> int:
-        """获取 overlap 时长（单边，为转场时长的一半）"""
-        return self.duration_ms // 2
-
-    def get_ffmpeg_transition(self) -> str:
-        """获取 FFmpeg xfade 参数"""
-        return TRANSITION_TYPES.get(self.type, 'fade')
-
-
-@dataclass
-class Effect:
-    """
-    特效配置
-
-    格式：type:params
-    例如：cameraShot:3,1 表示在第3秒定格1秒
-    """
-    effect_type: str           # 效果类型
-    params: str = ""           # 参数字符串
-
-    @classmethod
-    def from_string(cls, effect_str: str) -> Optional['Effect']:
-        """
-        从字符串解析 Effect
-
-        格式：type:params 或 type（无参数时）
-        """
-        if not effect_str:
-            return None
-        parts = effect_str.split(':', 1)
-        effect_type = parts[0].strip()
-        if effect_type not in EFFECT_TYPES:
-            return None
-        params = parts[1].strip() if len(parts) > 1 else ""
-        return cls(effect_type=effect_type, params=params)
-
-    @classmethod
-    def parse_effects(cls, effects_str: Optional[str]) -> List['Effect']:
-        """
-        解析效果字符串
-
-        格式：effect1|effect2|effect3
-        例如：cameraShot:3,1|blur:5
-        """
-        if not effects_str:
-            return []
-        effects = []
-        for part in effects_str.split('|'):
-            effect = cls.from_string(part.strip())
-            if effect:
-                effects.append(effect)
-        return effects
-
-    def get_camera_shot_params(self) -> tuple:
-        """
-        获取 cameraShot 效果参数
-
-        Returns:
-            (start_sec, duration_sec): 开始时间和持续时间（秒）
-        """
-        if self.effect_type != 'cameraShot':
-            return (0, 0)
-        if not self.params:
-            return (3, 1)  # 默认值
-        parts = self.params.split(',')
-        try:
-            start = int(parts[0]) if len(parts) >= 1 else 3
-            duration = int(parts[1]) if len(parts) >= 2 else 1
-            return (start, duration)
-        except ValueError:
-            return (3, 1)
-
-
-@dataclass
-class RenderSpec:
-    """
-    渲染规格
-
-    用于 RENDER_SEGMENT_VIDEO 任务，定义视频渲染参数。
-    """
-    crop_enable: bool = False
-    crop_size: Optional[str] = None
-    speed: str = "1.0"
-    lut_url: Optional[str] = None
-    overlay_url: Optional[str] = None
-    effects: Optional[str] = None
-    zoom_cut: bool = False
-    video_crop: Optional[str] = None
-    face_pos: Optional[str] = None
-    transitions: Optional[str] = None
-    # 转场配置（PRD v2 新增）
-    transition_in: Optional[TransitionConfig] = None   # 入场转场
-    transition_out: Optional[TransitionConfig] = None  # 出场转场
-
-    @classmethod
-    def from_dict(cls, data: Optional[Dict]) -> 'RenderSpec':
-        """从字典创建 RenderSpec"""
-        if not data:
-            return cls()
-        return cls(
-            crop_enable=data.get('cropEnable', False),
-            crop_size=data.get('cropSize'),
-            speed=str(data.get('speed', '1.0')),
-            lut_url=data.get('lutUrl'),
-            overlay_url=data.get('overlayUrl'),
-            effects=data.get('effects'),
-            zoom_cut=data.get('zoomCut', False),
-            video_crop=data.get('videoCrop'),
-            face_pos=data.get('facePos'),
-            transitions=data.get('transitions'),
-            transition_in=TransitionConfig.from_dict(data.get('transitionIn')),
-            transition_out=TransitionConfig.from_dict(data.get('transitionOut'))
-        )
-
-    def has_transition_in(self) -> bool:
-        """是否有入场转场"""
-        return self.transition_in is not None and self.transition_in.duration_ms > 0
-
-    def has_transition_out(self) -> bool:
-        """是否有出场转场"""
-        return self.transition_out is not None and self.transition_out.duration_ms > 0
-
-    def get_overlap_head_ms(self) -> int:
-        """获取头部 overlap 时长（毫秒）"""
-        if self.has_transition_in():
-            return self.transition_in.get_overlap_ms()
-        return 0
-
-    def get_overlap_tail_ms(self) -> int:
-        """获取尾部 overlap 时长（毫秒）"""
-        if self.has_transition_out():
-            return self.transition_out.get_overlap_ms()
-        return 0
-
-    def get_effects(self) -> List['Effect']:
-        """获取解析后的特效列表"""
-        return Effect.parse_effects(self.effects)
-
-
-@dataclass
-class OutputSpec:
-    """
-    输出规格
-
-    用于 RENDER_SEGMENT_VIDEO 任务，定义视频输出参数。
-    """
-    width: int = 1080
-    height: int = 1920
-    fps: int = 30
-    bitrate: int = 4000000
-    codec: str = "h264"
-
-    @classmethod
-    def from_dict(cls, data: Optional[Dict]) -> 'OutputSpec':
-        """从字典创建 OutputSpec"""
-        if not data:
-            return cls()
-        return cls(
-            width=data.get('width', 1080),
-            height=data.get('height', 1920),
-            fps=data.get('fps', 30),
-            bitrate=data.get('bitrate', 4000000),
-            codec=data.get('codec', 'h264')
-        )
-
-
-@dataclass
-class AudioSpec:
-    """
-    音频规格
-
-    用于 PREPARE_JOB_AUDIO 任务中的片段叠加音效。
-    """
-    audio_url: Optional[str] = None
-    volume: float = 1.0
-    fade_in_ms: int = 10
-    fade_out_ms: int = 10
-    start_ms: int = 0
-    delay_ms: int = 0
-    loop_enable: bool = False
-
-    @classmethod
-    def from_dict(cls, data: Optional[Dict]) -> Optional['AudioSpec']:
-        """从字典创建 AudioSpec"""
-        if not data:
-            return None
-        return cls(
-            audio_url=data.get('audioUrl'),
-            volume=float(data.get('volume', 1.0)),
-            fade_in_ms=int(data.get('fadeInMs', 10)),
-            fade_out_ms=int(data.get('fadeOutMs', 10)),
-            start_ms=int(data.get('startMs', 0)),
-            delay_ms=int(data.get('delayMs', 0)),
-            loop_enable=data.get('loopEnable', False)
-        )
-
-
-@dataclass
-class AudioProfile:
-    """
-    音频配置
-
-    用于 PREPARE_JOB_AUDIO 任务的全局音频参数。
-    """
-    sample_rate: int = 48000
-    channels: int = 2
-    codec: str = "aac"
-
-    @classmethod
-    def from_dict(cls, data: Optional[Dict]) -> 'AudioProfile':
-        """从字典创建 AudioProfile"""
-        if not data:
-            return cls()
-        return cls(
-            sample_rate=data.get('sampleRate', 48000),
-            channels=data.get('channels', 2),
-            codec=data.get('codec', 'aac')
-        )
-
-
-@dataclass
-class Task:
-    """
-    任务实体
-
-    表示一个待执行的渲染任务。
-    """
-    task_id: str
-    task_type: TaskType
-    priority: int
-    lease_expire_time: datetime
-    payload: Dict[str, Any]
-
-    @classmethod
-    def from_dict(cls, data: Dict) -> 'Task':
-        """从 API 响应字典创建 Task"""
-        lease_time_str = data.get('leaseExpireTime', '')
-
-        # 解析 ISO 8601 时间格式
-        if lease_time_str:
-            if lease_time_str.endswith('Z'):
-                lease_time_str = lease_time_str[:-1] + '+00:00'
-            try:
-                lease_expire_time = datetime.fromisoformat(lease_time_str)
-            except ValueError:
-                # 解析失败时使用当前时间 + 5分钟
-                lease_expire_time = datetime.now()
-        else:
-            lease_expire_time = datetime.now()
-
-        return cls(
-            task_id=str(data['taskId']),
-            task_type=TaskType(data['taskType']),
-            priority=data.get('priority', 0),
-            lease_expire_time=lease_expire_time,
-            payload=data.get('payload', {})
-        )
-
-    def get_job_id(self) -> str:
-        """获取作业 ID"""
-        return str(self.payload.get('jobId', ''))
-
-    def get_segment_id(self) -> Optional[str]:
-        """获取片段 ID（如果有）"""
-        segment_id = self.payload.get('segmentId')
-        return str(segment_id) if segment_id else None
-
-    def get_plan_segment_index(self) -> int:
-        """获取计划片段索引"""
-        return int(self.payload.get('planSegmentIndex', 0))
-
-    def get_duration_ms(self) -> int:
-        """获取时长（毫秒）"""
-        return int(self.payload.get('durationMs', 5000))
-
-    def get_material_url(self) -> Optional[str]:
-        """
-        获取素材 URL
-
-        优先使用 boundMaterialUrl（实际可下载的 HTTP URL），
-        如果不存在则回退到 sourceRef（可能是 slot 引用）。
-
-        Returns:
-            素材 URL，如果都不存在返回 None
-        """
-        return self.payload.get('boundMaterialUrl') or self.payload.get('sourceRef')
-
-    def get_source_ref(self) -> Optional[str]:
-        """获取素材源引用（slot 标识符，如 device:xxx）"""
-        return self.payload.get('sourceRef')
-
-    def get_bound_material_url(self) -> Optional[str]:
-        """获取绑定的素材 URL（实际可下载的 HTTP URL）"""
-        return self.payload.get('boundMaterialUrl')
-
-    def get_material_type(self) -> str:
-        """
-        获取素材类型
-
-        优先使用服务端下发的 materialType 字段，
-        如果不存在则根据 URL 后缀自动推断。
-
-        Returns:
-            素材类型："video" 或 "image"
-        """
-        # 优先使用服务端下发的类型
-        material_type = self.payload.get('materialType')
-        if material_type in ('video', 'image'):
-            return material_type
-
-        # 降级：根据 URL 后缀推断
-        material_url = self.get_material_url()
-        if material_url:
-            parsed = urlparse(material_url)
-            path = unquote(parsed.path)
-            _, ext = os.path.splitext(path)
-            if ext.lower() in IMAGE_EXTENSIONS:
-                return 'image'
-
-        # 默认视频类型
-        return 'video'
-
-    def is_image_material(self) -> bool:
-        """判断素材是否为图片类型"""
-        return self.get_material_type() == 'image'
-
-    def get_render_spec(self) -> RenderSpec:
-        """获取渲染规格"""
-        return RenderSpec.from_dict(self.payload.get('renderSpec'))
-
-    def get_output_spec(self) -> OutputSpec:
-        """获取输出规格"""
-        return OutputSpec.from_dict(self.payload.get('output'))
-
-    def get_transition_type(self) -> Optional[str]:
-        """获取转场类型（来自 TaskPayload 顶层）"""
-        return self.payload.get('transitionType')
-
-    def get_transition_ms(self) -> int:
-        """获取转场时长（毫秒，来自 TaskPayload 顶层）"""
-        return int(self.payload.get('transitionMs', 0))
-
-    def has_transition(self) -> bool:
-        """是否有转场效果"""
-        return self.get_transition_ms() > 0
-
-    def get_overlap_tail_ms(self) -> int:
-        """
-        获取尾部 overlap 时长（毫秒）
-
-        转场发生在当前片段与下一片段之间，当前片段需要在尾部多渲染 overlap 帧。
-        overlap = transitionMs / 2
-        """
-        return self.get_transition_ms() // 2
-
-    def get_transition_in_type(self) -> Optional[str]:
-        """获取入场转场类型（来自前一片段的出场转场）"""
-        return self.payload.get('transitionInType')
-
-    def get_transition_in_ms(self) -> int:
-        """获取入场转场时长（毫秒）"""
-        return int(self.payload.get('transitionInMs', 0))
-
-    def get_transition_out_type(self) -> Optional[str]:
-        """获取出场转场类型（当前片段的转场配置）"""
-        return self.payload.get('transitionOutType')
-
-    def get_transition_out_ms(self) -> int:
-        """获取出场转场时长（毫秒）"""
-        return int(self.payload.get('transitionOutMs', 0))
-
-    def has_transition_in(self) -> bool:
-        """是否有入场转场"""
-        return self.get_transition_in_ms() > 0
-
-    def has_transition_out(self) -> bool:
-        """是否有出场转场"""
-        return self.get_transition_out_ms() > 0
-
-    def get_overlap_head_ms(self) -> int:
-        """
-        获取头部 overlap 时长（毫秒）
-
-        入场转场来自前一个片段，当前片段需要在头部多渲染 overlap 帧。
-        overlap = transitionInMs / 2
-        """
-        return self.get_transition_in_ms() // 2
-
-    def get_overlap_tail_ms_v2(self) -> int:
-        """
-        获取尾部 overlap 时长（毫秒）- 使用新的字段名
-
-        出场转场用于当前片段与下一片段之间，当前片段需要在尾部多渲染 overlap 帧。
-        overlap = transitionOutMs / 2
-        """
-        return self.get_transition_out_ms() // 2
-
-    def get_bgm_url(self) -> Optional[str]:
-        """获取 BGM URL"""
-        return self.payload.get('bgmUrl')
-
-    def get_total_duration_ms(self) -> int:
-        """获取总时长（毫秒）"""
-        return int(self.payload.get('totalDurationMs', 0))
-
-    def get_segments(self) -> List[Dict]:
-        """获取片段列表"""
-        return self.payload.get('segments', [])
-
-    def get_audio_profile(self) -> AudioProfile:
-        """获取音频配置"""
-        return AudioProfile.from_dict(self.payload.get('audioProfile'))
-
-    def get_video_url(self) -> Optional[str]:
-        """获取视频 URL（用于 PACKAGE_SEGMENT_TS）"""
-        return self.payload.get('videoUrl')
-
-    def get_audio_url(self) -> Optional[str]:
-        """获取音频 URL（用于 PACKAGE_SEGMENT_TS）"""
-        return self.payload.get('audioUrl')
-
-    def get_start_time_ms(self) -> int:
-        """获取开始时间（毫秒）"""
-        return int(self.payload.get('startTimeMs', 0))
-
-    def get_m3u8_url(self) -> Optional[str]:
-        """获取 m3u8 URL（用于 FINALIZE_MP4）"""
-        return self.payload.get('m3u8Url')
-
-    def get_ts_list(self) -> List[str]:
-        """获取 TS 列表（用于 FINALIZE_MP4）"""
-        return self.payload.get('tsList', [])
-
-    # ========== COMPOSE_TRANSITION 相关方法 ==========
-
-    def get_transition_id(self) -> Optional[str]:
-        """获取转场 ID（用于 COMPOSE_TRANSITION）"""
-        return self.payload.get('transitionId')
-
-    def get_prev_segment(self) -> Optional[Dict]:
-        """获取前一个片段信息（用于 COMPOSE_TRANSITION）"""
-        return self.payload.get('prevSegment')
-
-    def get_next_segment(self) -> Optional[Dict]:
-        """获取后一个片段信息（用于 COMPOSE_TRANSITION）"""
-        return self.payload.get('nextSegment')
-
-    def get_transition_config(self) -> Optional[TransitionConfig]:
-        """获取转场配置（用于 COMPOSE_TRANSITION）"""
-        return TransitionConfig.from_dict(self.payload.get('transition'))
-
-    # ========== PACKAGE_SEGMENT_TS 转场相关方法 ==========
-
-    def is_transition_segment(self) -> bool:
-        """是否为转场分片（用于 PACKAGE_SEGMENT_TS）"""
-        return self.payload.get('isTransitionSegment', False)
-
-    def should_trim_head(self) -> bool:
-        """是否需要裁剪头部 overlap（用于 PACKAGE_SEGMENT_TS）"""
-        return self.payload.get('trimHead', False)
-
-    def should_trim_tail(self) -> bool:
-        """是否需要裁剪尾部 overlap（用于 PACKAGE_SEGMENT_TS）"""
-        return self.payload.get('trimTail', False)
-
-    def get_trim_head_ms(self) -> int:
-        """获取头部裁剪时长（毫秒）"""
-        return int(self.payload.get('trimHeadMs', 0))
-
-    def get_trim_tail_ms(self) -> int:
-        """获取尾部裁剪时长（毫秒）"""
-        return int(self.payload.get('trimTailMs', 0))

entity/effects/__init__.py

@@ -0,0 +1,25 @@
+from .base import EffectProcessor, EffectRegistry
+from .camera_shot import CameraShotEffect
+from .speed import SpeedEffect
+from .zoom import ZoomEffect
+from .skip import SkipEffect
+from .tail import TailEffect
+
+# 注册所有效果处理器
+registry = EffectRegistry()
+registry.register("cameraShot", CameraShotEffect)
+registry.register("ospeed", SpeedEffect)
+registry.register("zoom", ZoomEffect)
+registry.register("skip", SkipEffect)
+registry.register("tail", TailEffect)
+
+__all__ = [
+    "EffectProcessor",
+    "EffectRegistry",
+    "registry",
+    "CameraShotEffect",
+    "SpeedEffect",
+    "ZoomEffect",
+    "SkipEffect",
+    "TailEffect",
+]

entity/effects/base.py

@@ -0,0 +1,103 @@
+from abc import ABC, abstractmethod
+from typing import Dict, List, Type, Any, Optional
+import json
+import logging
+
+logger = logging.getLogger(__name__)
+
+
+class EffectProcessor(ABC):
+    """效果处理器抽象基类"""
+
+    def __init__(self, params: str = "", ext_data: Optional[Dict[str, Any]] = None):
+        self.params = params
+        self.ext_data = ext_data or {}
+        self.frame_rate = 25  # 默认帧率
+
+    @abstractmethod
+    def validate_params(self) -> bool:
+        """验证参数是否有效"""
+        pass
+
+    @abstractmethod
+    def generate_filter_args(
+        self, video_input: str, effect_index: int
+    ) -> tuple[List[str], str]:
+        """
+        生成FFmpeg滤镜参数
+
+        Args:
+            video_input: 输入视频流标识符 (例如: "[0:v]", "[v_eff1]")
+            effect_index: 效果索引，用于生成唯一的输出标识符
+
+        Returns:
+            tuple: (filter_args_list, output_stream_identifier)
+        """
+        pass
+
+    @abstractmethod
+    def get_effect_name(self) -> str:
+        """获取效果名称"""
+        pass
+
+    def parse_params(self) -> List[str]:
+        """解析参数字符串为列表"""
+        if not self.params:
+            return []
+        return self.params.split(",")
+
+    def get_pos_json(self) -> Dict[str, Any]:
+        """获取位置JSON数据"""
+        pos_json_str = self.ext_data.get("posJson", "{}")
+        try:
+            return json.loads(pos_json_str) if pos_json_str != "{}" else {}
+        except Exception as e:
+            logger.warning(f"Failed to parse posJson: {e}")
+            return {}
+
+
+class EffectRegistry:
+    """效果处理器注册表"""
+
+    def __init__(self):
+        self._processors: Dict[str, Type[EffectProcessor]] = {}
+
+    def register(self, name: str, processor_class: Type[EffectProcessor]):
+        """注册效果处理器"""
+        if not issubclass(processor_class, EffectProcessor):
+            raise ValueError(f"{processor_class} must be a subclass of EffectProcessor")
+        self._processors[name] = processor_class
+        logger.debug(f"Registered effect processor: {name}")
+
+    def get_processor(
+        self,
+        effect_name: str,
+        params: str = "",
+        ext_data: Optional[Dict[str, Any]] = None,
+    ) -> Optional[EffectProcessor]:
+        """获取效果处理器实例"""
+        if effect_name not in self._processors:
+            logger.warning(f"Unknown effect: {effect_name}")
+            return None
+
+        processor_class = self._processors[effect_name]
+        return processor_class(params, ext_data)
+
+    def list_effects(self) -> List[str]:
+        """列出所有注册的效果"""
+        return list(self._processors.keys())
+
+    def parse_effect_string(self, effect_string: str) -> tuple[str, str]:
+        """
+        解析效果字符串
+
+        Args:
+            effect_string: 效果字符串，格式为 "effect_name:params"
+
+        Returns:
+            tuple: (effect_name, params)
+        """
+        if ":" in effect_string:
+            parts = effect_string.split(":", 2)
+            return parts[0], parts[1] if len(parts) > 1 else ""
+        return effect_string, ""

entity/effects/camera_shot.py

@@ -0,0 +1,99 @@
+from typing import List
+from .base import EffectProcessor
+
+
+class CameraShotEffect(EffectProcessor):
+    """相机镜头效果处理器"""
+
+    def validate_params(self) -> bool:
+        """验证参数：start_time,duration,rotate_deg"""
+        params = self.parse_params()
+        if not params:
+            return True  # 使用默认参数
+
+        # 参数格式: "start_time,duration,rotate_deg"
+        if len(params) > 3:
+            return False
+
+        try:
+            for i, param in enumerate(params):
+                if param == "":
+                    continue
+                if i == 2:  # rotate_deg
+                    int(param)
+                else:  # start_time, duration
+                    float(param)
+            return True
+        except ValueError:
+            return False
+
+    def generate_filter_args(
+        self, video_input: str, effect_index: int
+    ) -> tuple[List[str], str]:
+        """生成相机镜头效果的滤镜参数"""
+        if not self.validate_params():
+            return [], video_input
+
+        params = self.parse_params()
+
+        # 设置默认值
+        start = 3.0
+        duration = 1.0
+        rotate_deg = 0
+
+        if len(params) >= 1 and params[0] != "":
+            start = float(params[0])
+        if len(params) >= 2 and params[1] != "":
+            duration = float(params[1])
+        if len(params) >= 3 and params[2] != "":
+            rotate_deg = int(params[2])
+
+        filter_args = []
+
+        # 生成输出流标识符
+        start_out_str = "[eff_s]"
+        mid_out_str = "[eff_m]"
+        end_out_str = "[eff_e]"
+        final_output = f"[v_eff{effect_index}]"
+
+        # 分割视频流为三部分
+        filter_args.append(
+            f"{video_input}split=3{start_out_str}{mid_out_str}{end_out_str}"
+        )
+
+        # 选择开始部分帧
+        filter_args.append(
+            f"{start_out_str}select=lt(n\\,"
+            f"{int(start * self.frame_rate)}){start_out_str}"
+        )
+
+        # 选择结束部分帧
+        filter_args.append(
+            f"{end_out_str}select=gt(n\\,"
+            f"{int(start * self.frame_rate)}){end_out_str}"
+        )
+
+        # 选择中间特定帧并扩展
+        filter_args.append(
+            f"{mid_out_str}select=eq(n\\,"
+            f"{int(start * self.frame_rate)}){mid_out_str}"
+        )
+        filter_args.append(
+            f"{mid_out_str}tpad=start_mode=clone:"
+            f"start_duration={duration:.4f}{mid_out_str}"
+        )
+
+        # 如果需要旋转
+        if rotate_deg != 0:
+            filter_args.append(f"{mid_out_str}rotate=PI*{rotate_deg}/180{mid_out_str}")
+
+        # 连接三部分
+        filter_args.append(
+            f"{start_out_str}{mid_out_str}{end_out_str}concat=n=3:v=1:a=0,"
+            f"setpts=N/{self.frame_rate}/TB{final_output}"
+        )
+
+        return filter_args, final_output
+
+    def get_effect_name(self) -> str:
+        return "cameraShot"

entity/effects/skip.py

@@ -0,0 +1,41 @@
+from typing import List
+from .base import EffectProcessor
+
+
+class SkipEffect(EffectProcessor):
+    """跳过开头效果处理器"""
+
+    def validate_params(self) -> bool:
+        """验证参数：跳过的秒数"""
+        if not self.params:
+            return True  # 默认不跳过
+
+        try:
+            skip_seconds = float(self.params)
+            return skip_seconds >= 0
+        except ValueError:
+            return False
+
+    def generate_filter_args(
+        self, video_input: str, effect_index: int
+    ) -> tuple[List[str], str]:
+        """生成跳过开头效果的滤镜参数"""
+        if not self.validate_params():
+            return [], video_input
+
+        if not self.params:
+            return [], video_input
+
+        skip_seconds = float(self.params)
+        if skip_seconds <= 0:
+            return [], video_input
+
+        output_stream = f"[v_eff{effect_index}]"
+
+        # 使用trim滤镜跳过开头
+        filter_args = [f"{video_input}trim=start={skip_seconds}{output_stream}"]
+
+        return filter_args, output_stream
+
+    def get_effect_name(self) -> str:
+        return "skip"

entity/effects/speed.py

@@ -0,0 +1,38 @@
+from typing import List
+from .base import EffectProcessor
+
+
+class SpeedEffect(EffectProcessor):
+    """视频变速效果处理器"""
+
+    def validate_params(self) -> bool:
+        """验证参数：速度倍数"""
+        if not self.params:
+            return True  # 默认不变速
+
+        try:
+            speed = float(self.params)
+            return speed > 0
+        except ValueError:
+            return False
+
+    def generate_filter_args(
+        self, video_input: str, effect_index: int
+    ) -> tuple[List[str], str]:
+        """生成变速效果的滤镜参数"""
+        if not self.validate_params():
+            return [], video_input
+
+        if not self.params or self.params == "1":
+            return [], video_input  # 不需要变速
+
+        speed = float(self.params)
+        output_stream = f"[v_eff{effect_index}]"
+
+        # 使用setpts进行变速
+        filter_args = [f"{video_input}setpts={speed}*PTS{output_stream}"]
+
+        return filter_args, output_stream
+
+    def get_effect_name(self) -> str:
+        return "ospeed"

entity/effects/tail.py

@@ -0,0 +1,46 @@
+from typing import List
+from .base import EffectProcessor
+
+
+class TailEffect(EffectProcessor):
+    """保留末尾效果处理器"""
+
+    def validate_params(self) -> bool:
+        """验证参数：保留的秒数"""
+        if not self.params:
+            return True  # 默认不截取
+
+        try:
+            tail_seconds = float(self.params)
+            return tail_seconds >= 0
+        except ValueError:
+            return False
+
+    def generate_filter_args(
+        self, video_input: str, effect_index: int
+    ) -> tuple[List[str], str]:
+        """生成保留末尾效果的滤镜参数"""
+        if not self.validate_params():
+            return [], video_input
+
+        if not self.params:
+            return [], video_input
+
+        tail_seconds = float(self.params)
+        if tail_seconds <= 0:
+            return [], video_input
+
+        output_stream = f"[v_eff{effect_index}]"
+
+        # 使用reverse+trim+reverse的方法来精确获取最后N秒
+        filter_args = [
+            f"{video_input}reverse[v_rev{effect_index}]",
+            f"[v_rev{effect_index}]trim=duration={tail_seconds}"
+            f"[v_trim{effect_index}]",
+            f"[v_trim{effect_index}]reverse{output_stream}",
+        ]
+
+        return filter_args, output_stream
+
+    def get_effect_name(self) -> str:
+        return "tail"

entity/effects/zoom.py

@@ -0,0 +1,89 @@
+from typing import List
+from .base import EffectProcessor
+
+
+class ZoomEffect(EffectProcessor):
+    """缩放效果处理器"""
+
+    def validate_params(self) -> bool:
+        """验证参数：start_time,zoom_factor,duration"""
+        params = self.parse_params()
+        if len(params) < 3:
+            return False
+
+        try:
+            start_time = float(params[0])
+            zoom_factor = float(params[1])
+            duration = float(params[2])
+
+            return start_time >= 0 and zoom_factor > 0 and duration >= 0
+        except (ValueError, IndexError):
+            return False
+
+    def generate_filter_args(
+        self, video_input: str, effect_index: int
+    ) -> tuple[List[str], str]:
+        """生成缩放效果的滤镜参数"""
+        if not self.validate_params():
+            return [], video_input
+
+        params = self.parse_params()
+        start_time = float(params[0])
+        zoom_factor = float(params[1])
+        duration = float(params[2])
+
+        if zoom_factor == 1:
+            return [], video_input  # 不需要缩放
+
+        output_stream = f"[v_eff{effect_index}]"
+
+        # 获取缩放中心点
+        center_x, center_y = self._get_zoom_center()
+
+        filter_args = []
+
+        if duration == 0:
+            # 静态缩放（整个视频时长）
+            x_expr = f"({center_x})-(ow*zoom)/2"
+            y_expr = f"({center_y})-(oh*zoom)/2"
+            filter_args.append(
+                f"{video_input}trim=start={start_time},zoompan=z={zoom_factor}:x={x_expr}:y={y_expr}:d=1{output_stream}"
+            )
+        else:
+            # 动态缩放（指定时间段内）
+            zoom_expr = f"if(between(t\\,{start_time}\\,{start_time + duration})\\,{zoom_factor}\\,1)"
+            x_expr = f"({center_x})-(ow*zoom)/2"
+            y_expr = f"({center_y})-(oh*zoom)/2"
+            filter_args.append(
+                f"{video_input}zoompan=z={zoom_expr}:x={x_expr}:y={y_expr}:d=1{output_stream}"
+            )
+
+        return filter_args, output_stream
+
+    def _get_zoom_center(self) -> tuple[str, str]:
+        """获取缩放中心点坐标表达式"""
+        # 默认中心点
+        center_x = "iw/2"
+        center_y = "ih/2"
+
+        pos_json = self.get_pos_json()
+        if pos_json:
+            _f_x = pos_json.get("ltX", 0)
+            _f_x2 = pos_json.get("rbX", 0)
+            _f_y = pos_json.get("ltY", 0)
+            _f_y2 = pos_json.get("rbY", 0)
+            _v_w = pos_json.get("imgWidth", 1)
+            _v_h = pos_json.get("imgHeight", 1)
+
+            if _v_w > 0 and _v_h > 0:
+                # 计算坐标系统中的中心点
+                center_x_ratio = (_f_x + _f_x2) / (2 * _v_w)
+                center_y_ratio = (_f_y + _f_y2) / (2 * _v_h)
+                # 转换为视频坐标系统
+                center_x = f"iw*{center_x_ratio:.6f}"
+                center_y = f"ih*{center_y_ratio:.6f}"
+
+        return center_x, center_y
+
+    def get_effect_name(self) -> str:
+        return "zoom"

entity/ffmpeg.py

@@ -0,0 +1,216 @@
+# 保留用于向后兼容的常量定义
+import os
+
+DEFAULT_ARGS = ("-shortest",)
+ENCODER_ARGS = (
+    (
+        "-c:v",
+        "h264",
+    )
+    if not os.getenv("ENCODER_ARGS", False)
+    else os.getenv("ENCODER_ARGS", "").split(" ")
+)
+VIDEO_ARGS = (
+    (
+        "-profile:v",
+        "high",
+        "-level:v",
+        "4",
+    )
+    if not os.getenv("VIDEO_ARGS", False)
+    else os.getenv("VIDEO_ARGS", "").split(" ")
+)
+AUDIO_ARGS = (
+    "-c:a",
+    "aac",
+    "-b:a",
+    "128k",
+    "-ar",
+    "48000",
+    "-ac",
+    "2",
+)
+MUTE_AUDIO_INPUT = (
+    "-f",
+    "lavfi",
+    "-i",
+    "anullsrc=cl=stereo:r=48000",
+)
+
+
+def get_mp4toannexb_filter():
+    """
+    Determine which mp4toannexb filter to use based on ENCODER_ARGS.
+    Returns 'hevc_mp4toannexb' if ENCODER_ARGS contains 'hevc', otherwise 'h264_mp4toannexb'.
+    """
+    encoder_args_str = os.getenv("ENCODER_ARGS", "").lower()
+    if "hevc" in encoder_args_str:
+        return "hevc_mp4toannexb"
+    return "h264_mp4toannexb"
+
+
+class FfmpegTask(object):
+    """
+    兼容类：保留原有FfmpegTask接口用于向后兼容
+    实际处理逻辑已迁移到新架构，该类主要用作数据载体
+    """
+
+    def __init__(self, input_file, task_type="copy", output_file=""):
+        """保持原有构造函数签名"""
+        self.annexb = False
+        if type(input_file) is str:
+            if input_file.endswith(".ts"):
+                self.annexb = True
+            self.input_file = [input_file]
+        elif type(input_file) is list:
+            self.input_file = input_file
+        else:
+            self.input_file = []
+        self.zoom_cut = None
+        self.center_cut = None
+        self.ext_data = {}
+        self.task_type = task_type
+        self.output_file = output_file or ""
+        self.mute = True
+        self.speed = 1
+        self.frame_rate = 25
+        self.resolution = None
+        self.subtitles = []
+        self.luts = []
+        self.audios = []
+        self.overlays = []
+        self.effects = []
+
+    def __repr__(self):
+        return f"FfmpegTask(input_file={self.input_file}, task_type={self.task_type})"
+
+    def analyze_input_render_tasks(self):
+        """分析输入中的子任务"""
+        for i in self.input_file:
+            if isinstance(i, FfmpegTask) and i.need_run():
+                yield i
+
+    def need_run(self):
+        """判断是否需要运行"""
+        if self.annexb:
+            return True
+        return not self.check_can_copy()
+
+    def add_inputs(self, *inputs):
+        """添加输入文件"""
+        self.input_file.extend(inputs)
+
+    def add_overlay(self, *overlays):
+        """添加覆盖层"""
+        for overlay in overlays:
+            if str(overlay).endswith(".ass"):
+                self.subtitles.append(overlay)
+            else:
+                self.overlays.append(overlay)
+        self.correct_task_type()
+
+    def add_audios(self, *audios):
+        """添加音频"""
+        self.audios.extend(audios)
+        self.correct_task_type()
+
+    def add_lut(self, *luts):
+        """添加LUT"""
+        self.luts.extend(luts)
+        self.correct_task_type()
+
+    def add_effect(self, *effects):
+        """添加效果"""
+        self.effects.extend(effects)
+        self.correct_task_type()
+
+    def get_output_file(self):
+        """获取输出文件"""
+        if self.task_type == "copy":
+            return self.input_file[0] if self.input_file else ""
+        if not self.output_file:
+            self.set_output_file()
+        return self.output_file
+
+    def correct_task_type(self):
+        """校正任务类型"""
+        if self.check_can_copy():
+            self.task_type = "copy"
+        elif self.check_can_concat():
+            self.task_type = "concat"
+        else:
+            self.task_type = "encode"
+
+    def check_can_concat(self):
+        """检查是否可以连接"""
+        return (
+            len(self.luts) == 0
+            and len(self.overlays) == 0
+            and len(self.subtitles) == 0
+            and len(self.effects) == 0
+            and self.speed == 1
+            and self.zoom_cut is None
+            and self.center_cut is None
+        )
+
+    def check_can_copy(self):
+        """检查是否可以复制"""
+        return (
+            len(self.luts) == 0
+            and len(self.overlays) == 0
+            and len(self.subtitles) == 0
+            and len(self.effects) == 0
+            and self.speed == 1
+            and len(self.audios) == 0
+            and len(self.input_file) <= 1
+            and self.zoom_cut is None
+            and self.center_cut is None
+        )
+
+    def set_output_file(self, file=None):
+        """设置输出文件"""
+        if file is None:
+            import uuid
+
+            if self.annexb:
+                self.output_file = f"rand_{uuid.uuid4()}.ts"
+            else:
+                self.output_file = f"rand_{uuid.uuid4()}.mp4"
+        else:
+            if isinstance(file, FfmpegTask):
+                if file != self:
+                    self.output_file = file.get_output_file()
+            elif isinstance(file, str):
+                self.output_file = file
+
+    def check_annexb(self):
+        """检查annexb格式"""
+        return self.annexb
+
+    def get_ffmpeg_args(self):
+        """
+        保留用于向后兼容，但实际逻辑已迁移到新架构
+        建议使用新的 FFmpegCommandBuilder 来生成命令
+        """
+        # 简化版本，主要用于向后兼容
+        if self.task_type == "copy" and len(self.input_file) == 1:
+            if isinstance(self.input_file[0], str):
+                if self.input_file[0] == self.get_output_file():
+                    return []
+                return [
+                    "-y",
+                    "-hide_banner",
+                    "-i",
+                    self.input_file[0],
+                    "-c",
+                    "copy",
+                    self.get_output_file(),
+                ]
+
+        # 对于复杂情况，返回基础命令结构
+        # 实际处理会在新的服务架构中完成
+        return (
+            ["-y", "-hide_banner", "-i"]
+            + self.input_file
+            + ["-c", "copy", self.get_output_file()]
+        )

entity/ffmpeg_command_builder.py

@@ -0,0 +1,314 @@
+import time
+from typing import List, Optional
+
+from config.settings import get_ffmpeg_config
+from entity.render_task import RenderTask, TaskType
+from entity.effects import registry as effect_registry
+from util.exceptions import FFmpegError
+from util.ffmpeg import probe_video_info, probe_video_audio
+from util.ffmpeg_utils import (
+    build_base_ffmpeg_args,
+    build_null_audio_input,
+    get_annexb_filter,
+    build_standard_output_args,
+)
+from util.json_utils import safe_json_loads
+import logging
+
+logger = logging.getLogger(__name__)
+
+
+class FFmpegCommandBuilder:
+    """FFmpeg命令构建器"""
+
+    def __init__(self, task: RenderTask):
+        self.task = task
+        self.config = get_ffmpeg_config()
+
+    def build_command(self) -> List[str]:
+        """构建FFmpeg命令"""
+        self.task.update_task_type()
+
+        if self.task.task_type == TaskType.COPY:
+            return self._build_copy_command()
+        elif self.task.task_type == TaskType.CONCAT:
+            return self._build_concat_command()
+        elif self.task.task_type == TaskType.ENCODE:
+            return self._build_encode_command()
+        else:
+            raise FFmpegError(f"Unsupported task type: {self.task.task_type}")
+
+    def _build_copy_command(self) -> List[str]:
+        """构建复制命令"""
+        if len(self.task.input_files) == 1:
+            input_file = self.task.input_files[0]
+            if input_file == self.task.output_file:
+                return []  # 不需要处理
+
+        return [
+            "ffmpeg",
+            "-y",
+            "-hide_banner",
+            "-i",
+            self.task.input_files[0],
+            "-c",
+            "copy",
+            self.task.output_file,
+        ]
+
+    def _build_concat_command(self) -> List[str]:
+        """构建拼接命令"""
+        args = ["ffmpeg", "-y", "-hide_banner"]
+        input_args = []
+        output_args = [*self.config.default_args]
+        filter_args = []
+
+        if len(self.task.input_files) == 1:
+            # 单个文件
+            file = self.task.input_files[0]
+            input_args.extend(["-i", file])
+            self.task.mute = not probe_video_audio(file)
+        else:
+            # 多个文件使用concat协议
+            tmp_file = f"tmp_concat_{time.time()}.txt"
+            with open(tmp_file, "w", encoding="utf-8") as f:
+                for input_file in self.task.input_files:
+                    f.write(f"file '{input_file}'\n")
+            input_args.extend(["-f", "concat", "-safe", "0", "-i", tmp_file])
+            self.task.mute = not probe_video_audio(tmp_file, "concat")
+
+        # 视频流映射
+        output_args.extend(["-map", "0:v", "-c:v", "copy"])
+
+        # 音频处理
+        audio_output_str = self._handle_audio_concat(input_args, filter_args)
+        if audio_output_str:
+            output_args.extend(["-map", audio_output_str])
+            output_args.extend(self.config.audio_args)
+
+        # annexb处理
+        if self.task.annexb:
+            output_args.extend(["-bsf:v", self._get_mp4toannexb_filter()])
+            output_args.extend(["-bsf:a", "setts=pts=DTS"])
+            output_args.extend(["-f", "mpegts"])
+        else:
+            output_args.extend(["-f", "mp4"])
+
+        filter_complex = (
+            ["-filter_complex", ";".join(filter_args)] if filter_args else []
+        )
+
+        return (
+            args + input_args + filter_complex + output_args + [self.task.output_file]
+        )
+
+    def _build_encode_command(self) -> List[str]:
+        """构建编码命令"""
+        args = build_base_ffmpeg_args()
+
+        input_args = []
+        filter_args = []
+        output_args = build_standard_output_args()
+
+        # annexb处理
+        if self.task.annexb:
+            output_args.extend(["-bsf:v", get_annexb_filter()])
+            output_args.extend(["-reset_timestamps", "1"])
+
+        # 处理输入文件
+        for input_file in self.task.input_files:
+            input_args.extend(["-i", input_file])
+
+        # 处理视频流
+        video_output_str = "[0:v]"
+        effect_index = 0
+
+        # 处理中心裁剪
+        if self.task.center_cut == 1:
+            video_output_str, effect_index = self._add_center_cut(
+                filter_args, video_output_str, effect_index
+            )
+
+        # 处理缩放裁剪
+        if self.task.zoom_cut == 1 and self.task.resolution:
+            video_output_str, effect_index = self._add_zoom_cut(
+                filter_args, video_output_str, effect_index
+            )
+
+        # 处理效果
+        video_output_str, effect_index = self._add_effects(
+            filter_args, video_output_str, effect_index
+        )
+
+        # 处理分辨率
+        if self.task.resolution:
+            filter_args.append(
+                f"{video_output_str}scale={self.task.resolution.replace('x', ':')}[v]"
+            )
+            video_output_str = "[v]"
+
+        # 处理LUT
+        for lut in self.task.luts:
+            filter_args.append(f"{video_output_str}lut3d=file={lut}{video_output_str}")
+
+        # 处理覆盖层
+        video_output_str = self._add_overlays(input_args, filter_args, video_output_str)
+
+        # 处理字幕
+        for subtitle in self.task.subtitles:
+            filter_args.append(f"{video_output_str}ass={subtitle}[v]")
+            video_output_str = "[v]"
+
+        # 映射视频流
+        output_args.extend(["-map", video_output_str])
+        output_args.extend(["-r", str(self.task.frame_rate)])
+        output_args.extend(["-fps_mode", "cfr"])
+
+        # 处理音频
+        audio_output_str = self._handle_audio_encode(input_args, filter_args)
+        if audio_output_str:
+            output_args.extend(["-map", audio_output_str])
+
+        filter_complex = (
+            ["-filter_complex", ";".join(filter_args)] if filter_args else []
+        )
+
+        return (
+            args + input_args + filter_complex + output_args + [self.task.output_file]
+        )
+
+    def _add_center_cut(
+        self, filter_args: List[str], video_input: str, effect_index: int
+    ) -> tuple[str, int]:
+        """添加中心裁剪"""
+        pos_json = self.task.ext_data.get("posJson", "{}")
+        pos_data = safe_json_loads(pos_json, {})
+
+        _v_w = pos_data.get("imgWidth", 1)
+        _f_x = pos_data.get("ltX", 0)
+        _f_x2 = pos_data.get("rbX", 0)
+        _x = f"{float((_f_x2 + _f_x)/(2 * _v_w)):.4f}*iw-ih*ih/(2*iw)"
+
+        filter_args.append(
+            f"{video_input}crop=x={_x}:y=0:w=ih*ih/iw:h=ih[v_cut{effect_index}]"
+        )
+        return f"[v_cut{effect_index}]", effect_index + 1
+
+    def _add_zoom_cut(
+        self, filter_args: List[str], video_input: str, effect_index: int
+    ) -> tuple[str, int]:
+        """添加缩放裁剪"""
+        # 获取输入视频尺寸
+        input_file = self.task.input_files[0]
+        _iw, _ih, _ = probe_video_info(input_file)
+
+        _w, _h = self.task.resolution.split("x", 1)
+        pos_json = self.task.ext_data.get("posJson", "{}")
+        pos_data = safe_json_loads(pos_json, {})
+
+        _f_x = pos_data.get("ltX", 0)
+        _f_x2 = pos_data.get("rbX", 0)
+        _f_y = pos_data.get("ltY", 0)
+        _f_y2 = pos_data.get("rbY", 0)
+
+        _x = min(max(0, int((_f_x + _f_x2) / 2 - int(_w) / 2)), _iw - int(_w))
+        _y = min(max(0, int((_f_y + _f_y2) / 2 - int(_h) / 2)), _ih - int(_h))
+
+        filter_args.append(
+            f"{video_input}crop=x={_x}:y={_y}:w={_w}:h={_h}[vz_cut{effect_index}]"
+        )
+        return f"[vz_cut{effect_index}]", effect_index + 1
+
+    def _add_effects(
+        self, filter_args: List[str], video_input: str, effect_index: int
+    ) -> tuple[str, int]:
+        """添加效果处理"""
+        current_input = video_input
+
+        for effect_str in self.task.effects:
+            effect_name, params = effect_registry.parse_effect_string(effect_str)
+            processor = effect_registry.get_processor(
+                effect_name, params, self.task.ext_data
+            )
+
+            if processor:
+                processor.frame_rate = self.task.frame_rate
+                effect_filters, output_stream = processor.generate_filter_args(
+                    current_input, effect_index
+                )
+
+                if effect_filters:
+                    filter_args.extend(effect_filters)
+                    current_input = output_stream
+                    effect_index += 1
+
+        return current_input, effect_index
+
+    def _add_overlays(
+        self, input_args: List[str], filter_args: List[str], video_input: str
+    ) -> str:
+        """添加覆盖层"""
+        current_input = video_input
+
+        for overlay in self.task.overlays:
+            input_index = input_args.count("-i") // 2  # 每个输入占两个参数 -i filename
+            input_args.extend(["-i", overlay])
+
+            if self.config.overlay_scale_mode == "scale":
+                filter_args.append(f"{current_input}[{input_index}:v]scale=iw:ih[v]")
+            else:
+                filter_args.append(
+                    f"{current_input}[{input_index}:v]{self.config.overlay_scale_mode}=iw:ih[v]"
+                )
+
+            filter_args.append(f"[v][{input_index}:v]overlay=1:eof_action=endall[v]")
+            current_input = "[v]"
+
+        return current_input
+
+    def _handle_audio_concat(
+        self, input_args: List[str], filter_args: List[str]
+    ) -> Optional[str]:
+        """处理concat模式的音频"""
+        audio_output_str = ""
+
+        if self.task.mute:
+            input_index = input_args.count("-i") // 2
+            input_args.extend(build_null_audio_input())
+            audio_output_str = f"[{input_index}:a]"
+        else:
+            audio_output_str = "[0:a]"
+
+        for audio in self.task.audios:
+            input_index = input_args.count("-i") // 2
+            input_args.extend(["-i", audio.replace("\\", "/")])
+            filter_args.append(
+                f"{audio_output_str}[{input_index}:a]{self.config.amix_args[0]}[a]"
+            )
+            audio_output_str = "[a]"
+
+        return audio_output_str.strip("[]") if audio_output_str else None
+
+    def _handle_audio_encode(
+        self, input_args: List[str], filter_args: List[str]
+    ) -> Optional[str]:
+        """处理encode模式的音频"""
+        audio_output_str = ""
+
+        if self.task.mute:
+            input_index = input_args.count("-i") // 2
+            input_args.extend(["-f", "lavfi", "-i", "anullsrc=cl=stereo:r=48000"])
+            filter_args.append(f"[{input_index}:a]acopy[a]")
+            audio_output_str = "[a]"
+        else:
+            audio_output_str = "[0:a]"
+
+        for audio in self.task.audios:
+            input_index = input_args.count("-i") // 2
+            input_args.extend(["-i", audio.replace("\\", "/")])
+            filter_args.append(
+                f"{audio_output_str}[{input_index}:a]{self.config.amix_args[0]}[a]"
+            )
+            audio_output_str = "[a]"
+
+        return audio_output_str if audio_output_str else None

entity/render_task.py

@@ -0,0 +1,157 @@
+import uuid
+from typing import List, Optional, Dict, Any
+from dataclasses import dataclass, field
+from enum import Enum
+
+from util.exceptions import TaskValidationError, EffectError
+from entity.effects import registry as effect_registry
+
+
+class TaskType(Enum):
+    COPY = "copy"
+    CONCAT = "concat"
+    ENCODE = "encode"
+
+
+@dataclass
+class RenderTask:
+    """渲染任务数据类，只包含任务数据，不包含处理逻辑"""
+
+    input_files: List[str] = field(default_factory=list)
+    output_file: str = ""
+    task_type: TaskType = TaskType.COPY
+
+    # 视频参数
+    resolution: Optional[str] = None
+    frame_rate: int = 25
+    speed: float = 1.0
+    mute: bool = True
+    annexb: bool = False
+
+    # 裁剪参数
+    zoom_cut: Optional[int] = None
+    center_cut: Optional[int] = None
+
+    # 资源列表
+    subtitles: List[str] = field(default_factory=list)
+    luts: List[str] = field(default_factory=list)
+    audios: List[str] = field(default_factory=list)
+    overlays: List[str] = field(default_factory=list)
+    effects: List[str] = field(default_factory=list)
+
+    # 扩展数据
+    ext_data: Dict[str, Any] = field(default_factory=dict)
+
+    def __post_init__(self):
+        """初始化后处理"""
+        # 检测annexb格式
+        for input_file in self.input_files:
+            if isinstance(input_file, str) and input_file.endswith(".ts"):
+                self.annexb = True
+                break
+
+        # 自动生成输出文件名
+        if not self.output_file:
+            self._generate_output_filename()
+
+    def _generate_output_filename(self):
+        """生成输出文件名"""
+        if self.annexb:
+            self.output_file = f"rand_{uuid.uuid4()}.ts"
+        else:
+            self.output_file = f"rand_{uuid.uuid4()}.mp4"
+
+    def add_input_file(self, file_path: str):
+        """添加输入文件"""
+        self.input_files.append(file_path)
+        if file_path.endswith(".ts"):
+            self.annexb = True
+
+    def add_overlay(self, *overlays: str):
+        """添加覆盖层"""
+        for overlay in overlays:
+            if overlay.endswith(".ass"):
+                self.subtitles.append(overlay)
+            else:
+                self.overlays.append(overlay)
+
+    def add_audios(self, *audios: str):
+        """添加音频"""
+        self.audios.extend(audios)
+
+    def add_lut(self, *luts: str):
+        """添加LUT"""
+        self.luts.extend(luts)
+
+    def add_effect(self, *effects: str):
+        """添加效果"""
+        self.effects.extend(effects)
+
+    def validate(self) -> bool:
+        """验证任务参数"""
+        if not self.input_files:
+            raise TaskValidationError("No input files specified")
+
+        # 验证所有效果
+        for effect_str in self.effects:
+            effect_name, params = effect_registry.parse_effect_string(effect_str)
+            processor = effect_registry.get_processor(
+                effect_name, params, self.ext_data
+            )
+            if processor and not processor.validate_params():
+                raise EffectError(
+                    f"Invalid parameters for effect {effect_name}: {params}",
+                    effect_name,
+                    params,
+                )
+
+        return True
+
+    def can_copy(self) -> bool:
+        """检查是否可以直接复制"""
+        return (
+            len(self.luts) == 0
+            and len(self.overlays) == 0
+            and len(self.subtitles) == 0
+            and len(self.effects) == 0
+            and self.speed == 1
+            and len(self.audios) == 0
+            and len(self.input_files) == 1
+            and self.zoom_cut is None
+            and self.center_cut is None
+        )
+
+    def can_concat(self) -> bool:
+        """检查是否可以使用concat模式"""
+        return (
+            len(self.luts) == 0
+            and len(self.overlays) == 0
+            and len(self.subtitles) == 0
+            and len(self.effects) == 0
+            and self.speed == 1
+            and self.zoom_cut is None
+            and self.center_cut is None
+        )
+
+    def determine_task_type(self) -> TaskType:
+        """自动确定任务类型"""
+        if self.can_copy():
+            return TaskType.COPY
+        elif self.can_concat():
+            return TaskType.CONCAT
+        else:
+            return TaskType.ENCODE
+
+    def update_task_type(self):
+        """更新任务类型"""
+        self.task_type = self.determine_task_type()
+
+    def need_processing(self) -> bool:
+        """检查是否需要处理"""
+        if self.annexb:
+            return True
+        return not self.can_copy()
+
+    def get_output_extension(self) -> str:
+        """获取输出文件扩展名"""
+        return ".ts" if self.annexb else ".mp4"

handlers/__init__.py

@@ -1,22 +0,0 @@
-# -*- coding: utf-8 -*-
-"""
-任务处理器层
-
-包含各种任务类型的具体处理器实现。
-"""
-
-from handlers.base import BaseHandler
-from handlers.render_video import RenderSegmentVideoHandler
-from handlers.compose_transition import ComposeTransitionHandler
-from handlers.prepare_audio import PrepareJobAudioHandler
-from handlers.package_ts import PackageSegmentTsHandler
-from handlers.finalize_mp4 import FinalizeMp4Handler
-
-__all__ = [
-    'BaseHandler',
-    'RenderSegmentVideoHandler',
-    'ComposeTransitionHandler',
-    'PrepareJobAudioHandler',
-    'PackageSegmentTsHandler',
-    'FinalizeMp4Handler',
-]

handlers/base.py

@@ -1,585 +0,0 @@
-# -*- coding: utf-8 -*-
-"""
-任务处理器基类
-
-提供所有处理器共用的基础功能。
-"""
-
-import os
-import json
-import logging
-import shutil
-import tempfile
-import subprocess
-import threading
-from abc import ABC
-from typing import Optional, List, Dict, Any, Tuple, TYPE_CHECKING
-
-from core.handler import TaskHandler
-from domain.task import Task
-from domain.result import TaskResult, ErrorCode
-from domain.config import WorkerConfig
-from services import storage
-from services.cache import MaterialCache
-from constant import (
-    HW_ACCEL_NONE, HW_ACCEL_QSV, HW_ACCEL_CUDA,
-    VIDEO_ENCODE_PARAMS, VIDEO_ENCODE_PARAMS_QSV, VIDEO_ENCODE_PARAMS_CUDA
-)
-
-if TYPE_CHECKING:
-    from services.api_client import APIClientV2
-
-logger = logging.getLogger(__name__)
-
-
-def get_video_encode_args(hw_accel: str = HW_ACCEL_NONE) -> List[str]:
-    """
-    根据硬件加速配置获取视频编码参数
-
-    Args:
-        hw_accel: 硬件加速类型 (none, qsv, cuda)
-
-    Returns:
-        FFmpeg 视频编码参数列表
-    """
-    if hw_accel == HW_ACCEL_QSV:
-        params = VIDEO_ENCODE_PARAMS_QSV
-        return [
-            '-c:v', params['codec'],
-            '-preset', params['preset'],
-            '-profile:v', params['profile'],
-            '-level', params['level'],
-            '-global_quality', params['global_quality'],
-            '-look_ahead', params['look_ahead'],
-        ]
-    elif hw_accel == HW_ACCEL_CUDA:
-        params = VIDEO_ENCODE_PARAMS_CUDA
-        return [
-            '-c:v', params['codec'],
-            '-preset', params['preset'],
-            '-profile:v', params['profile'],
-            '-level', params['level'],
-            '-rc', params['rc'],
-            '-cq', params['cq'],
-            '-b:v', '0',  # 配合 vbr 模式使用 cq
-        ]
-    else:
-        # 软件编码（默认）
-        params = VIDEO_ENCODE_PARAMS
-        return [
-            '-c:v', params['codec'],
-            '-preset', params['preset'],
-            '-profile:v', params['profile'],
-            '-level', params['level'],
-            '-crf', params['crf'],
-            '-pix_fmt', params['pix_fmt'],
-        ]
-
-
-def get_hwaccel_decode_args(hw_accel: str = HW_ACCEL_NONE, device_index: Optional[int] = None) -> List[str]:
-    """
-    获取硬件加速解码参数（输入文件之前使用）
-
-    Args:
-        hw_accel: 硬件加速类型 (none, qsv, cuda)
-        device_index: GPU 设备索引，用于多显卡调度
-
-    Returns:
-        FFmpeg 硬件加速解码参数列表
-    """
-    if hw_accel == HW_ACCEL_CUDA:
-        # CUDA 硬件加速解码
-        args = ['-hwaccel', 'cuda']
-        # 多显卡模式下指定设备
-        if device_index is not None:
-            args.extend(['-hwaccel_device', str(device_index)])
-        args.extend(['-hwaccel_output_format', 'cuda'])
-        return args
-    elif hw_accel == HW_ACCEL_QSV:
-        # QSV 硬件加速解码
-        args = ['-hwaccel', 'qsv']
-        # QSV 在 Windows 上使用 -qsv_device
-        if device_index is not None:
-            args.extend(['-qsv_device', str(device_index)])
-        args.extend(['-hwaccel_output_format', 'qsv'])
-        return args
-    else:
-        return []
-
-
-def get_hwaccel_filter_prefix(hw_accel: str = HW_ACCEL_NONE) -> str:
-    """
-    获取硬件加速滤镜前缀（用于 hwdownload 从 GPU 到 CPU）
-
-    注意：由于大多数复杂滤镜（如 lut3d, overlay, crop 等）不支持硬件表面，
-    我们需要在滤镜链开始时将硬件表面下载到系统内存。
-
-    CUDA/QSV hwdownload 只支持 nv12 格式输出，因此需要两步转换：
-    1. hwdownload,format=nv12 - 从 GPU 下载到 CPU
-    2. format=yuv420p - 转换为标准格式（确保与 RGBA/YUVA overlay 混合时颜色正确）
-
-    Args:
-        hw_accel: 硬件加速类型
-
-    Returns:
-        需要添加到滤镜链开头的 hwdownload 滤镜字符串
-    """
-    if hw_accel == HW_ACCEL_CUDA:
-        return 'hwdownload,format=nv12,format=yuv420p,'
-    elif hw_accel == HW_ACCEL_QSV:
-        return 'hwdownload,format=nv12,format=yuv420p,'
-    else:
-        return ''
-
-
-# v2 统一视频编码参数（兼容旧代码，使用软件编码）
-VIDEO_ENCODE_ARGS = get_video_encode_args(HW_ACCEL_NONE)
-
-# v2 统一音频编码参数
-AUDIO_ENCODE_ARGS = [
-    '-c:a', 'aac',
-    '-b:a', '128k',
-    '-ar', '48000',
-    '-ac', '2',
-]
-
-FFMPEG_LOGLEVEL = 'error'
-
-
-def subprocess_args(include_stdout: bool = True) -> Dict[str, Any]:
-    """
-    创建跨平台的 subprocess 参数
-
-    在 Windows 上使用 Pyinstaller --noconsole 打包时，需要特殊处理以避免弹出命令行窗口。
-
-    Args:
-        include_stdout: 是否包含 stdout 捕获
-
-    Returns:
-        subprocess.run 使用的参数字典
-    """
-    ret: Dict[str, Any] = {}
-
-    # Windows 特殊处理
-    if hasattr(subprocess, 'STARTUPINFO'):
-        si = subprocess.STARTUPINFO()
-        si.dwFlags |= subprocess.STARTF_USESHOWWINDOW
-        ret['startupinfo'] = si
-        ret['env'] = os.environ
-
-    # 重定向 stdin 避免 "handle is invalid" 错误
-    ret['stdin'] = subprocess.PIPE
-
-    if include_stdout:
-        ret['stdout'] = subprocess.PIPE
-
-    return ret
-
-
-def probe_video_info(video_file: str) -> Tuple[int, int, float]:
-    """
-    探测视频信息（宽度、高度、时长）
-
-    Args:
-        video_file: 视频文件路径
-
-    Returns:
-        (width, height, duration) 元组，失败返回 (0, 0, 0)
-    """
-    try:
-        result = subprocess.run(
-            [
-                'ffprobe', '-v', 'error',
-                '-select_streams', 'v:0',
-                '-show_entries', 'stream=width,height:format=duration',
-                '-of', 'csv=s=x:p=0',
-                video_file
-            ],
-            capture_output=True,
-            timeout=30,
-            **subprocess_args(False)
-        )
-
-        if result.returncode != 0:
-            logger.warning(f"ffprobe failed for {video_file}")
-            return 0, 0, 0
-
-        output = result.stdout.decode('utf-8').strip()
-        if not output:
-            return 0, 0, 0
-
-        lines = output.split('\n')
-        if len(lines) >= 2:
-            wh = lines[0].strip()
-            duration_str = lines[1].strip()
-            width, height = wh.split('x')
-            return int(width), int(height), float(duration_str)
-
-        return 0, 0, 0
-
-    except Exception as e:
-        logger.warning(f"probe_video_info error: {e}")
-        return 0, 0, 0
-
-
-def probe_duration_json(file_path: str) -> Optional[float]:
-    """
-    使用 ffprobe JSON 输出探测媒体时长
-
-    Args:
-        file_path: 媒体文件路径
-
-    Returns:
-        时长（秒），失败返回 None
-    """
-    try:
-        result = subprocess.run(
-            [
-                'ffprobe', '-v', 'error',
-                '-show_entries', 'format=duration',
-                '-of', 'json',
-                file_path
-            ],
-            capture_output=True,
-            timeout=30,
-            **subprocess_args(False)
-        )
-
-        if result.returncode != 0:
-            return None
-
-        data = json.loads(result.stdout.decode('utf-8'))
-        duration = data.get('format', {}).get('duration')
-        return float(duration) if duration else None
-
-    except Exception as e:
-        logger.warning(f"probe_duration_json error: {e}")
-        return None
-
-
-class BaseHandler(TaskHandler, ABC):
-    """
-    任务处理器基类
-
-    提供所有处理器共用的基础功能，包括：
-    - 临时目录管理
-    - 文件下载/上传
-    - FFmpeg 命令执行
-    - GPU 设备管理（多显卡调度）
-    - 日志记录
-    """
-
-    # 线程本地存储：用于存储当前线程的 GPU 设备索引
-    _thread_local = threading.local()
-
-    def __init__(self, config: WorkerConfig, api_client: 'APIClientV2'):
-        """
-        初始化处理器
-
-        Args:
-            config: Worker 配置
-            api_client: API 客户端
-        """
-        self.config = config
-        self.api_client = api_client
-        self.material_cache = MaterialCache(
-            cache_dir=config.cache_dir,
-            enabled=config.cache_enabled,
-            max_size_gb=config.cache_max_size_gb
-        )
-
-    # ========== GPU 设备管理 ==========
-
-    def set_gpu_device(self, device_index: int) -> None:
-        """
-        设置当前线程的 GPU 设备索引
-
-        由 TaskExecutor 在任务执行前调用。
-
-        Args:
-            device_index: GPU 设备索引
-        """
-        self._thread_local.gpu_device = device_index
-
-    def get_gpu_device(self) -> Optional[int]:
-        """
-        获取当前线程的 GPU 设备索引
-
-        Returns:
-            GPU 设备索引，未设置则返回 None
-        """
-        return getattr(self._thread_local, 'gpu_device', None)
-
-    def clear_gpu_device(self) -> None:
-        """
-        清除当前线程的 GPU 设备索引
-
-        由 TaskExecutor 在任务执行后调用。
-        """
-        if hasattr(self._thread_local, 'gpu_device'):
-            del self._thread_local.gpu_device
-
-    # ========== FFmpeg 参数生成 ==========
-
-    def get_video_encode_args(self) -> List[str]:
-        """
-        获取当前配置的视频编码参数
-
-        Returns:
-            FFmpeg 视频编码参数列表
-        """
-        return get_video_encode_args(self.config.hw_accel)
-
-    def get_hwaccel_decode_args(self) -> List[str]:
-        """
-        获取硬件加速解码参数（支持设备指定）
-
-        Returns:
-            FFmpeg 硬件加速解码参数列表
-        """
-        device_index = self.get_gpu_device()
-        return get_hwaccel_decode_args(self.config.hw_accel, device_index)
-
-    def get_hwaccel_filter_prefix(self) -> str:
-        """
-        获取硬件加速滤镜前缀
-
-        Returns:
-            需要添加到滤镜链开头的 hwdownload 滤镜字符串
-        """
-        return get_hwaccel_filter_prefix(self.config.hw_accel)
-
-    def before_handle(self, task: Task) -> None:
-        """处理前钩子"""
-        logger.debug(f"[task:{task.task_id}] Before handle: {task.task_type.value}")
-
-    def after_handle(self, task: Task, result: TaskResult) -> None:
-        """处理后钩子"""
-        status = "success" if result.success else "failed"
-        logger.debug(f"[task:{task.task_id}] After handle: {status}")
-
-    def create_work_dir(self, task_id: str = None) -> str:
-        """
-        创建临时工作目录
-
-        Args:
-            task_id: 任务 ID（用于目录命名）
-
-        Returns:
-            工作目录路径
-        """
-        # 确保临时根目录存在
-        os.makedirs(self.config.temp_dir, exist_ok=True)
-
-        # 创建唯一的工作目录
-        prefix = f"task_{task_id}_" if task_id else "task_"
-        work_dir = tempfile.mkdtemp(dir=self.config.temp_dir, prefix=prefix)
-
-        logger.debug(f"Created work directory: {work_dir}")
-        return work_dir
-
-    def cleanup_work_dir(self, work_dir: str) -> None:
-        """
-        清理临时工作目录
-
-        Args:
-            work_dir: 工作目录路径
-        """
-        if not work_dir or not os.path.exists(work_dir):
-            return
-
-        try:
-            shutil.rmtree(work_dir)
-            logger.debug(f"Cleaned up work directory: {work_dir}")
-        except Exception as e:
-            logger.warning(f"Failed to cleanup work directory {work_dir}: {e}")
-
-    def download_file(self, url: str, dest: str, timeout: int = None, use_cache: bool = True) -> bool:
-        """
-        下载文件（支持缓存）
-
-        Args:
-            url: 文件 URL
-            dest: 目标路径
-            timeout: 超时时间（秒）
-            use_cache: 是否使用缓存（默认 True）
-
-        Returns:
-            是否成功
-        """
-        if timeout is None:
-            timeout = self.config.download_timeout
-
-        try:
-            if use_cache:
-                # 使用缓存下载
-                result = self.material_cache.get_or_download(url, dest, timeout=timeout)
-            else:
-                # 直接下载（不走缓存）
-                result = storage.download_file(url, dest, timeout=timeout)
-
-            if result:
-                file_size = os.path.getsize(dest) if os.path.exists(dest) else 0
-                logger.debug(f"Downloaded: {url} -> {dest} ({file_size} bytes)")
-            return result
-        except Exception as e:
-            logger.error(f"Download failed: {url} -> {e}")
-            return False
-
-    def upload_file(
-        self,
-        task_id: str,
-        file_type: str,
-        file_path: str,
-        file_name: str = None
-    ) -> Optional[str]:
-        """
-        上传文件并返回访问 URL
-
-        Args:
-            task_id: 任务 ID
-            file_type: 文件类型（video/audio/ts/mp4）
-            file_path: 本地文件路径
-            file_name: 文件名（可选）
-
-        Returns:
-            访问 URL，失败返回 None
-        """
-        # 获取上传 URL
-        upload_info = self.api_client.get_upload_url(task_id, file_type, file_name)
-        if not upload_info:
-            logger.error(f"[task:{task_id}] Failed to get upload URL")
-            return None
-
-        upload_url = upload_info.get('uploadUrl')
-        access_url = upload_info.get('accessUrl')
-
-        if not upload_url:
-            logger.error(f"[task:{task_id}] Invalid upload URL response")
-            return None
-
-        # 上传文件
-        try:
-            result = storage.upload_file(upload_url, file_path, timeout=self.config.upload_timeout)
-            if result:
-                file_size = os.path.getsize(file_path)
-                logger.info(f"[task:{task_id}] Uploaded: {file_path} ({file_size} bytes)")
-
-                # 将上传成功的文件加入缓存
-                if access_url:
-                    self.material_cache.add_to_cache(access_url, file_path)
-
-                return access_url
-            else:
-                logger.error(f"[task:{task_id}] Upload failed: {file_path}")
-                return None
-        except Exception as e:
-            logger.error(f"[task:{task_id}] Upload error: {e}")
-            return None
-
-    def run_ffmpeg(
-        self,
-        cmd: List[str],
-        task_id: str,
-        timeout: int = None
-    ) -> bool:
-        """
-        执行 FFmpeg 命令
-
-        Args:
-            cmd: FFmpeg 命令参数列表
-            task_id: 任务 ID（用于日志）
-            timeout: 超时时间（秒）
-
-        Returns:
-            是否成功
-        """
-        if timeout is None:
-            timeout = self.config.ffmpeg_timeout
-
-        cmd_to_run = list(cmd)
-        if cmd_to_run and cmd_to_run[0] == 'ffmpeg' and '-loglevel' not in cmd_to_run:
-            cmd_to_run[1:1] = ['-loglevel', FFMPEG_LOGLEVEL]
-
-        # 日志记录命令（限制长度）
-        cmd_str = ' '.join(cmd_to_run)
-        if len(cmd_str) > 500:
-            cmd_str = cmd_str[:500] + '...'
-        logger.info(f"[task:{task_id}] FFmpeg: {cmd_str}")
-
-        try:
-            run_args = subprocess_args(False)
-            run_args['stdout'] = subprocess.DEVNULL
-            run_args['stderr'] = subprocess.PIPE
-            result = subprocess.run(
-                cmd_to_run,
-                timeout=timeout,
-                **run_args
-            )
-
-            if result.returncode != 0:
-                stderr = (result.stderr or b'').decode('utf-8', errors='replace')[:1000]
-                logger.error(f"[task:{task_id}] FFmpeg failed (code={result.returncode}): {stderr}")
-                return False
-
-            return True
-
-        except subprocess.TimeoutExpired:
-            logger.error(f"[task:{task_id}] FFmpeg timeout after {timeout}s")
-            return False
-        except Exception as e:
-            logger.error(f"[task:{task_id}] FFmpeg error: {e}")
-            return False
-
-    def probe_duration(self, file_path: str) -> Optional[float]:
-        """
-        探测媒体文件时长
-
-        Args:
-            file_path: 文件路径
-
-        Returns:
-            时长（秒），失败返回 None
-        """
-        # 首先尝试 JSON 输出方式
-        duration = probe_duration_json(file_path)
-        if duration is not None:
-            return duration
-
-        # 回退到旧方式
-        try:
-            _, _, duration = probe_video_info(file_path)
-            return float(duration) if duration else None
-        except Exception as e:
-            logger.warning(f"Failed to probe duration: {file_path} -> {e}")
-            return None
-
-    def get_file_size(self, file_path: str) -> int:
-        """
-        获取文件大小
-
-        Args:
-            file_path: 文件路径
-
-        Returns:
-            文件大小（字节）
-        """
-        try:
-            return os.path.getsize(file_path)
-        except Exception:
-            return 0
-
-    def ensure_file_exists(self, file_path: str, min_size: int = 0) -> bool:
-        """
-        确保文件存在且大小满足要求
-
-        Args:
-            file_path: 文件路径
-            min_size: 最小大小（字节）
-
-        Returns:
-            是否满足要求
-        """
-        if not os.path.exists(file_path):
-            return False
-        return os.path.getsize(file_path) >= min_size

handlers/compose_transition.py

@@ -1,273 +0,0 @@
-# -*- coding: utf-8 -*-
-"""
-转场合成处理器
-
-处理 COMPOSE_TRANSITION 任务，将相邻两个片段的 overlap 区域进行混合，生成转场效果。
-使用 FFmpeg xfade 滤镜实现多种转场效果。
-"""
-
-import os
-import logging
-from typing import List, Optional
-
-from handlers.base import BaseHandler
-from domain.task import Task, TaskType, TransitionConfig, TRANSITION_TYPES
-from domain.result import TaskResult, ErrorCode
-
-logger = logging.getLogger(__name__)
-
-
-class ComposeTransitionHandler(BaseHandler):
-    """
-    转场合成处理器
-
-    职责：
-    - 下载前一个片段的视频（含尾部 overlap）
-    - 下载后一个片段的视频（含头部 overlap）
-    - 使用 xfade 滤镜合成转场效果
-    - 上传转场视频产物
-
-    关键约束：
-    - 转场任务必须等待前后两个片段的 RENDER_SEGMENT_VIDEO 都完成后才能执行
-    - 输出编码参数必须与片段视频一致，确保后续 TS 封装兼容
-    - 转场视频不含音频轨道（音频由 PREPARE_JOB_AUDIO 统一处理）
-    """
-
-    def get_supported_type(self) -> TaskType:
-        return TaskType.COMPOSE_TRANSITION
-
-    def handle(self, task: Task) -> TaskResult:
-        """处理转场合成任务"""
-        work_dir = self.create_work_dir(task.task_id)
-
-        try:
-            # 解析参数
-            transition_id = task.get_transition_id()
-            prev_segment = task.get_prev_segment()
-            next_segment = task.get_next_segment()
-            transition_config = task.get_transition_config()
-            output_spec = task.get_output_spec()
-
-            # 参数验证
-            if not transition_id:
-                return TaskResult.fail(
-                    ErrorCode.E_SPEC_INVALID,
-                    "Missing transitionId"
-                )
-
-            if not prev_segment or not prev_segment.get('videoUrl'):
-                return TaskResult.fail(
-                    ErrorCode.E_SPEC_INVALID,
-                    "Missing prevSegment.videoUrl"
-                )
-
-            if not next_segment or not next_segment.get('videoUrl'):
-                return TaskResult.fail(
-                    ErrorCode.E_SPEC_INVALID,
-                    "Missing nextSegment.videoUrl"
-                )
-
-            if not transition_config:
-                return TaskResult.fail(
-                    ErrorCode.E_SPEC_INVALID,
-                    "Missing transition config"
-                )
-
-            # 获取 overlap 时长
-            overlap_tail_ms = prev_segment.get('overlapTailMs', 0)
-            overlap_head_ms = next_segment.get('overlapHeadMs', 0)
-            transition_duration_ms = transition_config.duration_ms
-
-            # 验证 overlap 时长
-            if overlap_tail_ms <= 0 or overlap_head_ms <= 0:
-                return TaskResult.fail(
-                    ErrorCode.E_SPEC_INVALID,
-                    f"Invalid overlap duration: tail={overlap_tail_ms}ms, head={overlap_head_ms}ms"
-                )
-
-            logger.info(
-                f"[task:{task.task_id}] Composing transition: {transition_config.type}, "
-                f"duration={transition_duration_ms}ms, "
-                f"overlap_tail={overlap_tail_ms}ms, overlap_head={overlap_head_ms}ms"
-            )
-
-            # 1. 下载前一个片段视频
-            prev_video_file = os.path.join(work_dir, 'prev_segment.mp4')
-            if not self.download_file(prev_segment['videoUrl'], prev_video_file):
-                return TaskResult.fail(
-                    ErrorCode.E_INPUT_UNAVAILABLE,
-                    f"Failed to download prev segment video: {prev_segment['videoUrl']}"
-                )
-
-            # 2. 下载后一个片段视频
-            next_video_file = os.path.join(work_dir, 'next_segment.mp4')
-            if not self.download_file(next_segment['videoUrl'], next_video_file):
-                return TaskResult.fail(
-                    ErrorCode.E_INPUT_UNAVAILABLE,
-                    f"Failed to download next segment video: {next_segment['videoUrl']}"
-                )
-
-            # 3. 获取前一个片段的实际时长
-            prev_duration = self.probe_duration(prev_video_file)
-            if not prev_duration:
-                return TaskResult.fail(
-                    ErrorCode.E_FFMPEG_FAILED,
-                    "Failed to probe prev segment duration"
-                )
-
-            # 4. 构建转场合成命令
-            output_file = os.path.join(work_dir, 'transition.mp4')
-            cmd = self._build_command(
-                prev_video_file=prev_video_file,
-                next_video_file=next_video_file,
-                output_file=output_file,
-                prev_duration_sec=prev_duration,
-                overlap_tail_ms=overlap_tail_ms,
-                overlap_head_ms=overlap_head_ms,
-                transition_config=transition_config,
-                output_spec=output_spec
-            )
-
-            # 5. 执行 FFmpeg
-            if not self.run_ffmpeg(cmd, task.task_id):
-                return TaskResult.fail(
-                    ErrorCode.E_FFMPEG_FAILED,
-                    "FFmpeg transition composition failed"
-                )
-
-            # 6. 验证输出文件
-            if not self.ensure_file_exists(output_file, min_size=1024):
-                return TaskResult.fail(
-                    ErrorCode.E_FFMPEG_FAILED,
-                    "Transition output file is missing or too small"
-                )
-
-            # 7. 获取实际时长
-            actual_duration = self.probe_duration(output_file)
-            actual_duration_ms = int(actual_duration * 1000) if actual_duration else transition_duration_ms
-
-            # 8. 上传产物
-            transition_video_url = self.upload_file(task.task_id, 'video', output_file)
-            if not transition_video_url:
-                return TaskResult.fail(
-                    ErrorCode.E_UPLOAD_FAILED,
-                    "Failed to upload transition video"
-                )
-
-            return TaskResult.ok({
-                'transitionVideoUrl': transition_video_url,
-                'actualDurationMs': actual_duration_ms
-            })
-
-        except Exception as e:
-            logger.error(f"[task:{task.task_id}] Unexpected error: {e}", exc_info=True)
-            return TaskResult.fail(ErrorCode.E_UNKNOWN, str(e))
-
-        finally:
-            self.cleanup_work_dir(work_dir)
-
-    def _build_command(
-        self,
-        prev_video_file: str,
-        next_video_file: str,
-        output_file: str,
-        prev_duration_sec: float,
-        overlap_tail_ms: int,
-        overlap_head_ms: int,
-        transition_config: TransitionConfig,
-        output_spec
-    ) -> List[str]:
-        """
-        构建转场合成命令
-
-        使用 xfade 滤镜合成转场效果：
-        1. 从前一个片段截取尾部 overlap 区域
-        2. 从后一个片段截取头部 overlap 区域
-        3. 使用 xfade 进行混合
-
-        注意：
-        - 转场视频时长很短，需要特别处理 GOP 大小
-        - 确保第一帧是关键帧以便后续 TS 封装
-
-        Args:
-            prev_video_file: 前一个片段视频路径
-            next_video_file: 后一个片段视频路径
-            output_file: 输出文件路径
-            prev_duration_sec: 前一个片段总时长（秒）
-            overlap_tail_ms: 尾部 overlap 时长（毫秒）
-            overlap_head_ms: 头部 overlap 时长（毫秒）
-            transition_config: 转场配置
-            output_spec: 输出规格
-
-        Returns:
-            FFmpeg 命令参数列表
-        """
-        # 计算时间参数
-        overlap_tail_sec = overlap_tail_ms / 1000.0
-        overlap_head_sec = overlap_head_ms / 1000.0
-
-        # 前一个片段的尾部 overlap 起始位置
-        tail_start_sec = prev_duration_sec - overlap_tail_sec
-
-        # 转场时长（使用两个 overlap 区域的总和，xfade 会将两段合成为此时长）
-        # 注意：xfade 的输出时长 = overlap_tail + overlap_head - duration
-        # 当 duration = overlap_tail + overlap_head 时，输出时长约等于 duration
-        transition_duration_sec = min(overlap_tail_sec, overlap_head_sec)
-
-        # 获取 xfade 转场类型
-        xfade_transition = transition_config.get_ffmpeg_transition()
-
-        # 构建滤镜
-        # [0:v] trim 截取前一个片段的尾部 overlap
-        # [1:v] trim 截取后一个片段的头部 overlap
-        # xfade 混合两段视频
-        filter_complex = (
-            f"[0:v]trim=start={tail_start_sec},setpts=PTS-STARTPTS[v0];"
-            f"[1:v]trim=end={overlap_head_sec},setpts=PTS-STARTPTS[v1];"
-            f"[v0][v1]xfade=transition={xfade_transition}:duration={transition_duration_sec}:offset=0[outv]"
-        )
-
-        cmd = [
-            'ffmpeg', '-y', '-hide_banner',
-            '-i', prev_video_file,
-            '-i', next_video_file,
-            '-filter_complex', filter_complex,
-            '-map', '[outv]',
-        ]
-
-        # 编码参数（根据硬件加速配置动态获取）
-        cmd.extend(self.get_video_encode_args())
-
-        # 帧率
-        fps = output_spec.fps
-
-        # 计算输出视频的预估帧数
-        # xfade 输出时长 ≈ overlap_tail + overlap_head - transition_duration
-        output_duration_sec = overlap_tail_sec + overlap_head_sec - transition_duration_sec
-        total_frames = int(output_duration_sec * fps)
-
-        # 动态调整 GOP 大小：对于短视频，GOP 不能大于总帧数
-        # 确保至少有 1 个关键帧（第一帧），最小 GOP = 1
-        if total_frames <= 1:
-            gop_size = 1
-        elif total_frames < fps:
-            # 短于 1 秒的视频，使用全部帧数作为 GOP（整个视频只有开头一个关键帧）
-            gop_size = total_frames
-        else:
-            # 正常情况，每秒一个关键帧（比标准的 2 秒更密集，适合短视频）
-            gop_size = fps
-
-        cmd.extend(['-r', str(fps)])
-        cmd.extend(['-g', str(gop_size)])
-        cmd.extend(['-keyint_min', str(min(gop_size, fps // 2 or 1))])
-
-        # 强制第一帧为关键帧
-        cmd.extend(['-force_key_frames', 'expr:eq(n,0)'])
-
-        # 无音频
-        cmd.append('-an')
-
-        # 输出文件
-        cmd.append(output_file)
-
-        return cmd

handlers/finalize_mp4.py

@@ -1,190 +0,0 @@
-# -*- coding: utf-8 -*-
-"""
-最终 MP4 合并处理器
-
-处理 FINALIZE_MP4 任务，将所有 TS 分片合并为最终可下载的 MP4 文件。
-"""
-
-import os
-import logging
-from typing import List
-
-from handlers.base import BaseHandler
-from domain.task import Task, TaskType
-from domain.result import TaskResult, ErrorCode
-
-logger = logging.getLogger(__name__)
-
-
-class FinalizeMp4Handler(BaseHandler):
-    """
-    最终 MP4 合并处理器
-
-    职责：
-    - 下载所有 TS 分片
-    - 使用 concat demuxer 合并
-    - 产出最终 MP4（remux，不重编码）
-    - 上传 MP4 产物
-
-    关键约束：
-    - 优先使用 remux（复制流，不重新编码）
-    - 使用 aac_adtstoasc bitstream filter 处理音频
-    """
-
-    def get_supported_type(self) -> TaskType:
-        return TaskType.FINALIZE_MP4
-
-    def handle(self, task: Task) -> TaskResult:
-        """处理 MP4 合并任务"""
-        work_dir = self.create_work_dir(task.task_id)
-
-        try:
-            # 获取 TS 列表
-            ts_list = task.get_ts_list()
-            m3u8_url = task.get_m3u8_url()
-
-            if not ts_list and not m3u8_url:
-                return TaskResult.fail(
-                    ErrorCode.E_SPEC_INVALID,
-                    "Missing tsList or m3u8Url"
-                )
-
-            output_file = os.path.join(work_dir, 'final.mp4')
-
-            if ts_list:
-                # 方式1：使用 TS 列表
-                result = self._process_ts_list(task, work_dir, ts_list, output_file)
-            else:
-                # 方式2：使用 m3u8 URL
-                result = self._process_m3u8(task, work_dir, m3u8_url, output_file)
-
-            if not result.success:
-                return result
-
-            # 验证输出文件
-            if not self.ensure_file_exists(output_file, min_size=4096):
-                return TaskResult.fail(
-                    ErrorCode.E_FFMPEG_FAILED,
-                    "MP4 output file is missing or too small"
-                )
-
-            # 获取文件大小
-            file_size = self.get_file_size(output_file)
-
-            # 上传产物
-            mp4_url = self.upload_file(task.task_id, 'mp4', output_file)
-            if not mp4_url:
-                return TaskResult.fail(
-                    ErrorCode.E_UPLOAD_FAILED,
-                    "Failed to upload MP4"
-                )
-
-            return TaskResult.ok({
-                'mp4Url': mp4_url,
-                'fileSizeBytes': file_size
-            })
-
-        except Exception as e:
-            logger.error(f"[task:{task.task_id}] Unexpected error: {e}", exc_info=True)
-            return TaskResult.fail(ErrorCode.E_UNKNOWN, str(e))
-
-        finally:
-            self.cleanup_work_dir(work_dir)
-
-    def _process_ts_list(
-        self,
-        task: Task,
-        work_dir: str,
-        ts_list: List[str],
-        output_file: str
-    ) -> TaskResult:
-        """
-        使用 TS 列表处理
-
-        Args:
-            task: 任务实体
-            work_dir: 工作目录
-            ts_list: TS URL 列表
-            output_file: 输出文件路径
-
-        Returns:
-            TaskResult
-        """
-        # 1. 下载所有 TS 分片
-        ts_files = []
-        for i, ts_url in enumerate(ts_list):
-            ts_file = os.path.join(work_dir, f'seg_{i}.ts')
-            if not self.download_file(ts_url, ts_file):
-                return TaskResult.fail(
-                    ErrorCode.E_INPUT_UNAVAILABLE,
-                    f"Failed to download TS segment {i}: {ts_url}"
-                )
-            ts_files.append(ts_file)
-
-        logger.info(f"[task:{task.task_id}] Downloaded {len(ts_files)} TS segments")
-
-        # 2. 创建 concat 文件列表
-        concat_file = os.path.join(work_dir, 'concat.txt')
-        with open(concat_file, 'w', encoding='utf-8') as f:
-            for ts_file in ts_files:
-                # FFmpeg concat 路径相对于 concat.txt 所在目录，只需写文件名
-                ts_filename = os.path.basename(ts_file)
-                f.write(f"file '{ts_filename}'\n")
-
-        # 3. 构建合并命令（remux，不重编码）
-        cmd = [
-            'ffmpeg', '-y', '-hide_banner',
-            '-f', 'concat',
-            '-safe', '0',
-            '-i', concat_file,
-            '-c', 'copy',  # 复制流，不重编码
-            '-bsf:a', 'aac_adtstoasc',  # 音频 bitstream filter
-            output_file
-        ]
-
-        # 4. 执行 FFmpeg
-        if not self.run_ffmpeg(cmd, task.task_id):
-            return TaskResult.fail(
-                ErrorCode.E_FFMPEG_FAILED,
-                "MP4 concatenation failed"
-            )
-
-        return TaskResult.ok({})
-
-    def _process_m3u8(
-        self,
-        task: Task,
-        work_dir: str,
-        m3u8_url: str,
-        output_file: str
-    ) -> TaskResult:
-        """
-        使用 m3u8 URL 处理
-
-        Args:
-            task: 任务实体
-            work_dir: 工作目录
-            m3u8_url: m3u8 URL
-            output_file: 输出文件路径
-
-        Returns:
-            TaskResult
-        """
-        # 构建命令
-        cmd = [
-            'ffmpeg', '-y', '-hide_banner',
-            '-protocol_whitelist', 'file,http,https,tcp,tls',
-            '-i', m3u8_url,
-            '-c', 'copy',
-            '-bsf:a', 'aac_adtstoasc',
-            output_file
-        ]
-
-        # 执行 FFmpeg
-        if not self.run_ffmpeg(cmd, task.task_id):
-            return TaskResult.fail(
-                ErrorCode.E_FFMPEG_FAILED,
-                "MP4 conversion from m3u8 failed"
-            )
-
-        return TaskResult.ok({})

handlers/package_ts.py

@@ -1,304 +0,0 @@
-# -*- coding: utf-8 -*-
-"""
-TS 分片封装处理器
-
-处理 PACKAGE_SEGMENT_TS 任务，将视频片段和对应时间区间的音频封装为 TS 分片。
-支持转场相关的 overlap 裁剪和转场分片封装。
-"""
-
-import os
-import logging
-from typing import List, Optional
-
-from handlers.base import BaseHandler, VIDEO_ENCODE_ARGS
-from domain.task import Task, TaskType
-from domain.result import TaskResult, ErrorCode
-
-logger = logging.getLogger(__name__)
-
-
-class PackageSegmentTsHandler(BaseHandler):
-    """
-    TS 分片封装处理器
-
-    职责：
-    - 下载视频片段
-    - 下载全局音频
-    - 截取对应时间区间的音频
-    - 封装为 TS 分片
-    - 上传 TS 产物
-
-    关键约束：
-    - TS 必须包含音视频同轨
-    - 使用 output_ts_offset 保证时间戳连续
-    - 输出 extinfDurationSec 供 m3u8 使用
-
-    转场相关：
-    - 普通片段 TS：需要裁剪掉 overlap 区域（已被转场分片使用）
-    - 转场分片 TS：直接封装转场视频产物，无需裁剪
-    - 无转场时：走原有逻辑，不做裁剪
-
-    精确裁剪：
-    - 当需要裁剪 overlap 区域时，必须使用重编码方式（-vf trim）才能精确切割
-    - 使用 -c copy 只能从关键帧切割，会导致不精确
-    """
-
-    def get_supported_type(self) -> TaskType:
-        return TaskType.PACKAGE_SEGMENT_TS
-
-    def handle(self, task: Task) -> TaskResult:
-        """处理 TS 封装任务"""
-        work_dir = self.create_work_dir(task.task_id)
-
-        try:
-            # 解析参数
-            video_url = task.get_video_url()
-            audio_url = task.get_audio_url()
-            start_time_ms = task.get_start_time_ms()
-            duration_ms = task.get_duration_ms()
-            output_spec = task.get_output_spec()
-
-            # 转场相关参数
-            is_transition_segment = task.is_transition_segment()
-            trim_head = task.should_trim_head()
-            trim_tail = task.should_trim_tail()
-            trim_head_ms = task.get_trim_head_ms()
-            trim_tail_ms = task.get_trim_tail_ms()
-
-            if not video_url:
-                return TaskResult.fail(
-                    ErrorCode.E_SPEC_INVALID,
-                    "Missing videoUrl"
-                )
-
-            if not audio_url:
-                return TaskResult.fail(
-                    ErrorCode.E_SPEC_INVALID,
-                    "Missing audioUrl"
-                )
-
-            # 计算时间参数
-            start_sec = start_time_ms / 1000.0
-            duration_sec = duration_ms / 1000.0
-
-            # 1. 下载视频片段
-            video_file = os.path.join(work_dir, 'video.mp4')
-            if not self.download_file(video_url, video_file):
-                return TaskResult.fail(
-                    ErrorCode.E_INPUT_UNAVAILABLE,
-                    f"Failed to download video: {video_url}"
-                )
-
-            # 2. 下载全局音频
-            audio_file = os.path.join(work_dir, 'audio.aac')
-            if not self.download_file(audio_url, audio_file):
-                return TaskResult.fail(
-                    ErrorCode.E_INPUT_UNAVAILABLE,
-                    f"Failed to download audio: {audio_url}"
-                )
-
-            # 3. 判断是否需要精确裁剪视频
-            needs_video_trim = not is_transition_segment and (
-                (trim_head and trim_head_ms > 0) or
-                (trim_tail and trim_tail_ms > 0)
-            )
-
-            # 4. 如果需要裁剪，先重编码裁剪视频
-            processed_video_file = video_file
-            if needs_video_trim:
-                processed_video_file = os.path.join(work_dir, 'trimmed_video.mp4')
-                trim_cmd = self._build_trim_command(
-                    video_file=video_file,
-                    output_file=processed_video_file,
-                    trim_head_ms=trim_head_ms if trim_head else 0,
-                    trim_tail_ms=trim_tail_ms if trim_tail else 0,
-                    output_spec=output_spec
-                )
-
-                logger.info(f"[task:{task.task_id}] Trimming video: head={trim_head_ms}ms, tail={trim_tail_ms}ms")
-
-                if not self.run_ffmpeg(trim_cmd, task.task_id):
-                    return TaskResult.fail(
-                        ErrorCode.E_FFMPEG_FAILED,
-                        "Video trim failed"
-                    )
-
-                if not self.ensure_file_exists(processed_video_file, min_size=1024):
-                    return TaskResult.fail(
-                        ErrorCode.E_FFMPEG_FAILED,
-                        "Trimmed video file is missing or too small"
-                    )
-
-            # 5. 构建 TS 封装命令
-            output_file = os.path.join(work_dir, 'segment.ts')
-            cmd = self._build_package_command(
-                video_file=processed_video_file,
-                audio_file=audio_file,
-                output_file=output_file,
-                start_sec=start_sec,
-                duration_sec=duration_sec
-            )
-
-            # 6. 执行 FFmpeg
-            if not self.run_ffmpeg(cmd, task.task_id):
-                return TaskResult.fail(
-                    ErrorCode.E_FFMPEG_FAILED,
-                    "TS packaging failed"
-                )
-
-            # 7. 验证输出文件
-            if not self.ensure_file_exists(output_file, min_size=1024):
-                return TaskResult.fail(
-                    ErrorCode.E_FFMPEG_FAILED,
-                    "TS output file is missing or too small"
-                )
-
-            # 8. 获取实际时长（用于 EXTINF）
-            actual_duration = self.probe_duration(output_file)
-            extinf_duration = actual_duration if actual_duration else duration_sec
-
-            # 9. 上传产物
-            ts_url = self.upload_file(task.task_id, 'ts', output_file)
-            if not ts_url:
-                return TaskResult.fail(
-                    ErrorCode.E_UPLOAD_FAILED,
-                    "Failed to upload TS"
-                )
-
-            return TaskResult.ok({
-                'tsUrl': ts_url,
-                'extinfDurationSec': extinf_duration
-            })
-
-        except Exception as e:
-            logger.error(f"[task:{task.task_id}] Unexpected error: {e}", exc_info=True)
-            return TaskResult.fail(ErrorCode.E_UNKNOWN, str(e))
-
-        finally:
-            self.cleanup_work_dir(work_dir)
-
-    def _build_trim_command(
-        self,
-        video_file: str,
-        output_file: str,
-        trim_head_ms: int,
-        trim_tail_ms: int,
-        output_spec
-    ) -> List[str]:
-        """
-        构建视频精确裁剪命令（重编码方式）
-
-        使用 trim 滤镜进行精确帧级裁剪，而非 -ss/-t 参数的关键帧裁剪。
-
-        Args:
-            video_file: 输入视频路径
-            output_file: 输出视频路径
-            trim_head_ms: 头部裁剪时长（毫秒）
-            trim_tail_ms: 尾部裁剪时长（毫秒）
-            output_spec: 输出规格
-
-        Returns:
-            FFmpeg 命令参数列表
-        """
-        # 获取原视频时长
-        original_duration = self.probe_duration(video_file)
-        if not original_duration:
-            original_duration = 10.0  # 默认值，避免除零
-
-        trim_head_sec = trim_head_ms / 1000.0
-        trim_tail_sec = trim_tail_ms / 1000.0
-
-        # 计算裁剪后的起止时间
-        start_time = trim_head_sec
-        end_time = original_duration - trim_tail_sec
-
-        # 构建 trim 滤镜
-        vf_filter = f"trim=start={start_time}:end={end_time},setpts=PTS-STARTPTS"
-
-        cmd = [
-            'ffmpeg', '-y', '-hide_banner',
-            '-i', video_file,
-            '-vf', vf_filter,
-        ]
-
-        # 编码参数
-        cmd.extend(VIDEO_ENCODE_ARGS)
-
-        # 帧率
-        fps = output_spec.fps
-        cmd.extend(['-r', str(fps)])
-
-        # 计算输出视频帧数，动态调整 GOP
-        output_duration_sec = end_time - start_time
-        total_frames = int(output_duration_sec * fps)
-
-        # 动态 GOP：短视频使用较小的 GOP
-        if total_frames <= 1:
-            gop_size = 1
-        elif total_frames < fps:
-            gop_size = total_frames
-        else:
-            gop_size = fps  # 每秒一个关键帧
-
-        cmd.extend(['-g', str(gop_size)])
-        cmd.extend(['-keyint_min', str(min(gop_size, fps // 2 or 1))])
-
-        # 强制第一帧为关键帧
-        cmd.extend(['-force_key_frames', 'expr:eq(n,0)'])
-
-        # 无音频（音频单独处理）
-        cmd.append('-an')
-
-        cmd.append(output_file)
-
-        return cmd
-
-    def _build_package_command(
-        self,
-        video_file: str,
-        audio_file: str,
-        output_file: str,
-        start_sec: float,
-        duration_sec: float
-    ) -> List[str]:
-        """
-        构建 TS 封装命令
-
-        将视频和对应时间区间的音频封装为 TS 分片。
-        视频使用 copy 模式（已经过精确裁剪或无需裁剪）。
-
-        Args:
-            video_file: 视频文件路径（已处理）
-            audio_file: 音频文件路径
-            output_file: 输出文件路径
-            start_sec: 音频开始时间（秒）
-            duration_sec: 音频时长（秒）
-
-        Returns:
-            FFmpeg 命令参数列表
-        """
-        cmd = [
-            'ffmpeg', '-y', '-hide_banner',
-            # 视频输入
-            '-i', video_file,
-            # 音频输入（从 start_sec 开始截取 duration_sec）
-            '-ss', str(start_sec),
-            '-t', str(duration_sec),
-            '-i', audio_file,
-            # 映射流
-            '-map', '0:v:0',  # 使用第一个输入的视频流
-            '-map', '1:a:0',  # 使用第二个输入的音频流
-            # 复制编码（视频已处理，无需重编码）
-            '-c:v', 'copy',
-            '-c:a', 'copy',
-            # 关键：时间戳偏移，保证整体连续
-            '-output_ts_offset', str(start_sec),
-            # 复用参数
-            '-muxdelay', '0',
-            '-muxpreload', '0',
-            # 输出格式
-            '-f', 'mpegts',
-            output_file
-        ]
-
-        return cmd

handlers/prepare_audio.py

@@ -1,251 +0,0 @@
-# -*- coding: utf-8 -*-
-"""
-全局音频准备处理器
-
-处理 PREPARE_JOB_AUDIO 任务，生成整个视频的连续音频轨道。
-"""
-
-import os
-import logging
-from typing import List, Dict, Optional
-
-from handlers.base import BaseHandler, AUDIO_ENCODE_ARGS
-from domain.task import Task, TaskType, AudioSpec, AudioProfile
-from domain.result import TaskResult, ErrorCode
-
-logger = logging.getLogger(__name__)
-
-
-class PrepareJobAudioHandler(BaseHandler):
-    """
-    全局音频准备处理器
-
-    职责：
-    - 下载全局 BGM
-    - 下载各片段叠加音效
-    - 构建复杂混音命令
-    - 执行混音
-    - 上传音频产物
-
-    关键约束：
-    - 全局 BGM 连续生成一次，贯穿整个时长
-    - 禁止使用 amix normalize=1
-    - 只对叠加音轨做极短淡入淡出（5-20ms）
-    - 不对 BGM 做边界 fade
-    """
-
-    def get_supported_type(self) -> TaskType:
-        return TaskType.PREPARE_JOB_AUDIO
-
-    def handle(self, task: Task) -> TaskResult:
-        """处理音频准备任务"""
-        work_dir = self.create_work_dir(task.task_id)
-
-        try:
-            # 解析参数
-            total_duration_ms = task.get_total_duration_ms()
-            if total_duration_ms <= 0:
-                return TaskResult.fail(
-                    ErrorCode.E_SPEC_INVALID,
-                    "Invalid totalDurationMs"
-                )
-
-            total_duration_sec = total_duration_ms / 1000.0
-            audio_profile = task.get_audio_profile()
-            bgm_url = task.get_bgm_url()
-            segments = task.get_segments()
-
-            # 1. 下载 BGM（如有）
-            bgm_file = None
-            if bgm_url:
-                bgm_file = os.path.join(work_dir, 'bgm.mp3')
-                if not self.download_file(bgm_url, bgm_file):
-                    logger.warning(f"[task:{task.task_id}] Failed to download BGM")
-                    bgm_file = None
-
-            # 2. 下载叠加音效
-            sfx_files = []
-            for i, seg in enumerate(segments):
-                audio_spec_data = seg.get('audioSpecJson')
-                if audio_spec_data:
-                    audio_spec = AudioSpec.from_dict(audio_spec_data)
-                    if audio_spec and audio_spec.audio_url:
-                        sfx_file = os.path.join(work_dir, f'sfx_{i}.mp3')
-                        if self.download_file(audio_spec.audio_url, sfx_file):
-                            sfx_files.append({
-                                'file': sfx_file,
-                                'spec': audio_spec,
-                                'segment': seg
-                            })
-                        else:
-                            logger.warning(f"[task:{task.task_id}] Failed to download SFX {i}")
-
-            # 3. 构建音频混音命令
-            output_file = os.path.join(work_dir, 'audio_full.aac')
-            cmd = self._build_audio_command(
-                bgm_file=bgm_file,
-                sfx_files=sfx_files,
-                output_file=output_file,
-                total_duration_sec=total_duration_sec,
-                audio_profile=audio_profile
-            )
-
-            # 4. 执行 FFmpeg
-            if not self.run_ffmpeg(cmd, task.task_id):
-                return TaskResult.fail(
-                    ErrorCode.E_FFMPEG_FAILED,
-                    "Audio mixing failed"
-                )
-
-            # 5. 验证输出文件
-            if not self.ensure_file_exists(output_file, min_size=1024):
-                return TaskResult.fail(
-                    ErrorCode.E_FFMPEG_FAILED,
-                    "Audio output file is missing or too small"
-                )
-
-            # 6. 上传产物
-            audio_url = self.upload_file(task.task_id, 'audio', output_file)
-            if not audio_url:
-                return TaskResult.fail(
-                    ErrorCode.E_UPLOAD_FAILED,
-                    "Failed to upload audio"
-                )
-
-            return TaskResult.ok({
-                'audioUrl': audio_url
-            })
-
-        except Exception as e:
-            logger.error(f"[task:{task.task_id}] Unexpected error: {e}", exc_info=True)
-            return TaskResult.fail(ErrorCode.E_UNKNOWN, str(e))
-
-        finally:
-            self.cleanup_work_dir(work_dir)
-
-    def _build_audio_command(
-        self,
-        bgm_file: Optional[str],
-        sfx_files: List[Dict],
-        output_file: str,
-        total_duration_sec: float,
-        audio_profile: AudioProfile
-    ) -> List[str]:
-        """
-        构建音频混音命令
-
-        Args:
-            bgm_file: BGM 文件路径（可选）
-            sfx_files: 叠加音效列表
-            output_file: 输出文件路径
-            total_duration_sec: 总时长（秒）
-            audio_profile: 音频配置
-
-        Returns:
-            FFmpeg 命令参数列表
-        """
-        sample_rate = audio_profile.sample_rate
-        channels = audio_profile.channels
-
-        # 情况1：无 BGM 也无叠加音效 -> 生成静音
-        if not bgm_file and not sfx_files:
-            return [
-                'ffmpeg', '-y', '-hide_banner',
-                '-f', 'lavfi',
-                '-i', f'anullsrc=r={sample_rate}:cl=stereo',
-                '-t', str(total_duration_sec),
-                '-c:a', 'aac', '-b:a', '128k',
-                output_file
-            ]
-
-        # 情况2：仅 BGM，无叠加音效
-        if not sfx_files:
-            return [
-                'ffmpeg', '-y', '-hide_banner',
-                '-i', bgm_file,
-                '-t', str(total_duration_sec),
-                '-c:a', 'aac', '-b:a', '128k',
-                '-ar', str(sample_rate), '-ac', str(channels),
-                output_file
-            ]
-
-        # 情况3：BGM + 叠加音效 -> 复杂滤镜
-        inputs = []
-        if bgm_file:
-            inputs.extend(['-i', bgm_file])
-        for sfx in sfx_files:
-            inputs.extend(['-i', sfx['file']])
-
-        filter_parts = []
-        input_idx = 0
-
-        # BGM 处理（或生成静音底轨）
-        if bgm_file:
-            filter_parts.append(
-                f"[0:a]atrim=0:{total_duration_sec},asetpts=PTS-STARTPTS,"
-                f"apad=whole_dur={total_duration_sec}[bgm]"
-            )
-            input_idx = 1
-        else:
-            filter_parts.append(
-                f"anullsrc=r={sample_rate}:cl=stereo,"
-                f"atrim=0:{total_duration_sec}[bgm]"
-            )
-            input_idx = 0
-
-        # 叠加音效处理
-        sfx_labels = []
-        for i, sfx in enumerate(sfx_files):
-            idx = input_idx + i
-            spec = sfx['spec']
-            seg = sfx['segment']
-
-            # 计算时间参数
-            start_time_ms = seg.get('startTimeMs', 0)
-            duration_ms = seg.get('durationMs', 5000)
-            delay_ms = start_time_ms + spec.delay_ms
-            delay_sec = delay_ms / 1000.0
-            duration_sec = duration_ms / 1000.0
-
-            # 淡入淡出参数（极短，5-20ms）
-            fade_in_sec = spec.fade_in_ms / 1000.0
-            fade_out_sec = spec.fade_out_ms / 1000.0
-
-            # 音量
-            volume = spec.volume
-
-            label = f"sfx{i}"
-            sfx_labels.append(f"[{label}]")
-
-            # 构建滤镜：延迟 + 淡入淡出 + 音量
-            # 注意：只对叠加音轨做淡入淡出，不对 BGM 做
-            sfx_filter = (
-                f"[{idx}:a]"
-                f"adelay={int(delay_ms)}|{int(delay_ms)},"
-                f"afade=t=in:st={delay_sec}:d={fade_in_sec},"
-                f"afade=t=out:st={delay_sec + duration_sec - fade_out_sec}:d={fade_out_sec},"
-                f"volume={volume}"
-                f"[{label}]"
-            )
-            filter_parts.append(sfx_filter)
-
-        # 混音（关键：normalize=0，禁止归一化）
-        # dropout_transition=0 表示输入结束时不做渐变
-        mix_inputs = "[bgm]" + "".join(sfx_labels)
-        num_inputs = 1 + len(sfx_files)
-        filter_parts.append(
-            f"{mix_inputs}amix=inputs={num_inputs}:duration=first:"
-            f"dropout_transition=0:normalize=0[out]"
-        )
-
-        filter_complex = ';'.join(filter_parts)
-
-        cmd = ['ffmpeg', '-y', '-hide_banner'] + inputs + [
-            '-filter_complex', filter_complex,
-            '-map', '[out]',
-            '-c:a', 'aac', '-b:a', '128k',
-            '-ar', str(sample_rate), '-ac', str(channels),
-            output_file
-        ]
-
-        return cmd

handlers/render_video.py

@@ -1,726 +0,0 @@
-# -*- coding: utf-8 -*-
-"""
-视频片段渲染处理器
-
-处理 RENDER_SEGMENT_VIDEO 任务，将原素材渲染为符合输出规格的视频片段。
-支持转场 overlap 区域的帧冻结生成。
-"""
-
-import os
-import logging
-from typing import List, Optional, Tuple
-from urllib.parse import urlparse, unquote
-
-from handlers.base import BaseHandler
-from domain.task import Task, TaskType, RenderSpec, OutputSpec, Effect, IMAGE_EXTENSIONS
-from domain.result import TaskResult, ErrorCode
-
-logger = logging.getLogger(__name__)
-
-
-def _get_extension_from_url(url: str) -> str:
-    """从 URL 提取文件扩展名"""
-    parsed = urlparse(url)
-    path = unquote(parsed.path)
-    _, ext = os.path.splitext(path)
-    return ext.lower() if ext else ''
-
-
-class RenderSegmentVideoHandler(BaseHandler):
-    """
-    视频片段渲染处理器
-
-    职责：
-    - 下载素材文件
-    - 下载 LUT 文件（如有）
-    - 下载叠加层（如有）
-    - 构建 FFmpeg 渲染命令
-    - 执行渲染（支持帧冻结生成 overlap 区域）
-    - 上传产物
-    """
-
-    def get_supported_type(self) -> TaskType:
-        return TaskType.RENDER_SEGMENT_VIDEO
-
-    def handle(self, task: Task) -> TaskResult:
-        """处理视频渲染任务"""
-        work_dir = self.create_work_dir(task.task_id)
-
-        try:
-            # 解析参数
-            material_url = task.get_material_url()
-            if not material_url:
-                return TaskResult.fail(
-                    ErrorCode.E_SPEC_INVALID,
-                    "Missing material URL (boundMaterialUrl or sourceRef)"
-                )
-
-            # 检查 URL 格式：必须是 HTTP 或 HTTPS 协议
-            if not material_url.startswith(('http://', 'https://')):
-                source_ref = task.get_source_ref()
-                bound_url = task.get_bound_material_url()
-                logger.error(
-                    f"[task:{task.task_id}] Invalid material URL format: '{material_url}'. "
-                    f"boundMaterialUrl={bound_url}, sourceRef={source_ref}. "
-                    f"Server should provide boundMaterialUrl with HTTP/HTTPS URL."
-                )
-                return TaskResult.fail(
-                    ErrorCode.E_SPEC_INVALID,
-                    f"Invalid material URL: '{material_url}' is not a valid HTTP/HTTPS URL. "
-                    f"Server must provide boundMaterialUrl."
-                )
-
-            render_spec = task.get_render_spec()
-            output_spec = task.get_output_spec()
-            duration_ms = task.get_duration_ms()
-
-            # 1. 检测素材类型并确定输入文件扩展名
-            is_image = task.is_image_material()
-            if is_image:
-                # 图片素材：根据 URL 确定扩展名
-                ext = _get_extension_from_url(material_url)
-                if not ext or ext not in IMAGE_EXTENSIONS:
-                    ext = '.jpg'  # 默认扩展名
-                input_file = os.path.join(work_dir, f'input{ext}')
-            else:
-                input_file = os.path.join(work_dir, 'input.mp4')
-
-            # 2. 下载素材
-            if not self.download_file(material_url, input_file):
-                return TaskResult.fail(
-                    ErrorCode.E_INPUT_UNAVAILABLE,
-                    f"Failed to download material: {material_url}"
-                )
-
-            # 3. 图片素材转换为视频
-            if is_image:
-                video_input_file = os.path.join(work_dir, 'input_video.mp4')
-                if not self._convert_image_to_video(
-                    image_file=input_file,
-                    output_file=video_input_file,
-                    duration_ms=duration_ms,
-                    output_spec=output_spec,
-                    render_spec=render_spec,
-                    task_id=task.task_id
-                ):
-                    return TaskResult.fail(
-                        ErrorCode.E_FFMPEG_FAILED,
-                        "Failed to convert image to video"
-                    )
-                # 使用转换后的视频作为输入
-                input_file = video_input_file
-                logger.info(f"[task:{task.task_id}] Image converted to video successfully")
-
-            # 4. 下载 LUT（如有）
-            lut_file = None
-            if render_spec.lut_url:
-                lut_file = os.path.join(work_dir, 'lut.cube')
-                if not self.download_file(render_spec.lut_url, lut_file):
-                    logger.warning(f"[task:{task.task_id}] Failed to download LUT, continuing without it")
-                    lut_file = None
-
-            # 5. 下载叠加层（如有）
-            overlay_file = None
-            if render_spec.overlay_url:
-                # 根据 URL 后缀确定文件扩展名
-                url_lower = render_spec.overlay_url.lower()
-                if url_lower.endswith('.jpg') or url_lower.endswith('.jpeg'):
-                    ext = '.jpg'
-                elif url_lower.endswith('.mov'):
-                    ext = '.mov'
-                else:
-                    ext = '.png'  # 默认
-                overlay_file = os.path.join(work_dir, f'overlay{ext}')
-                if not self.download_file(render_spec.overlay_url, overlay_file):
-                    logger.warning(f"[task:{task.task_id}] Failed to download overlay, continuing without it")
-                    overlay_file = None
-
-            # 6. 探测源视频时长（仅对视频素材）
-            # 用于检测时长不足并通过冻结最后一帧补足
-            source_duration_sec = None
-            if not is_image:
-                source_duration = self.probe_duration(input_file)
-                if source_duration:
-                    source_duration_sec = source_duration
-                    speed = float(render_spec.speed) if render_spec.speed else 1.0
-                    if speed > 0:
-                        # 计算变速后的有效时长
-                        effective_duration_sec = source_duration_sec / speed
-                        required_duration_sec = duration_ms / 1000.0
-
-                        # 如果源视频时长不足，记录日志
-                        if effective_duration_sec < required_duration_sec:
-                            shortage_sec = required_duration_sec - effective_duration_sec
-                            logger.warning(
-                                f"[task:{task.task_id}] Source video duration insufficient: "
-                                f"effective={effective_duration_sec:.2f}s (speed={speed}), "
-                                f"required={required_duration_sec:.2f}s, "
-                                f"will freeze last frame for {shortage_sec:.2f}s"
-                            )
-
-            # 7. 计算 overlap 时长（用于转场帧冻结）
-            # 头部 overlap: 来自前一片段的出场转场
-            overlap_head_ms = task.get_overlap_head_ms()
-            # 尾部 overlap: 当前片段的出场转场
-            overlap_tail_ms = task.get_overlap_tail_ms_v2()
-
-            # 8. 构建 FFmpeg 命令
-            output_file = os.path.join(work_dir, 'output.mp4')
-            cmd = self._build_command(
-                input_file=input_file,
-                output_file=output_file,
-                render_spec=render_spec,
-                output_spec=output_spec,
-                duration_ms=duration_ms,
-                lut_file=lut_file,
-                overlay_file=overlay_file,
-                overlap_head_ms=overlap_head_ms,
-                overlap_tail_ms=overlap_tail_ms,
-                source_duration_sec=source_duration_sec
-            )
-
-            # 9. 执行 FFmpeg
-            if not self.run_ffmpeg(cmd, task.task_id):
-                return TaskResult.fail(
-                    ErrorCode.E_FFMPEG_FAILED,
-                    "FFmpeg rendering failed"
-                )
-
-            # 10. 验证输出文件
-            if not self.ensure_file_exists(output_file, min_size=4096):
-                return TaskResult.fail(
-                    ErrorCode.E_FFMPEG_FAILED,
-                    "Output file is missing or too small"
-                )
-
-            # 11. 获取实际时长
-            actual_duration = self.probe_duration(output_file)
-            actual_duration_ms = int(actual_duration * 1000) if actual_duration else duration_ms
-
-            # 12. 上传产物
-            video_url = self.upload_file(task.task_id, 'video', output_file)
-            if not video_url:
-                return TaskResult.fail(
-                    ErrorCode.E_UPLOAD_FAILED,
-                    "Failed to upload video"
-                )
-
-            # 13. 构建结果（包含 overlap 信息）
-            result_data = {
-                'videoUrl': video_url,
-                'actualDurationMs': actual_duration_ms,
-                'overlapHeadMs': overlap_head_ms,
-                'overlapTailMs': overlap_tail_ms
-            }
-
-            return TaskResult.ok(result_data)
-
-        except Exception as e:
-            logger.error(f"[task:{task.task_id}] Unexpected error: {e}", exc_info=True)
-            return TaskResult.fail(ErrorCode.E_UNKNOWN, str(e))
-
-        finally:
-            self.cleanup_work_dir(work_dir)
-
-    def _convert_image_to_video(
-        self,
-        image_file: str,
-        output_file: str,
-        duration_ms: int,
-        output_spec: OutputSpec,
-        render_spec: RenderSpec,
-        task_id: str
-    ) -> bool:
-        """
-        将图片转换为视频
-
-        使用 FFmpeg 将静态图片转换为指定时长的视频，
-        同时应用缩放填充和变速处理。
-
-        Args:
-            image_file: 输入图片文件路径
-            output_file: 输出视频文件路径
-            duration_ms: 目标时长（毫秒）
-            output_spec: 输出规格
-            render_spec: 渲染规格
-            task_id: 任务 ID（用于日志）
-
-        Returns:
-            是否成功
-        """
-        width = output_spec.width
-        height = output_spec.height
-        fps = output_spec.fps
-
-        # 计算实际时长（考虑变速）
-        speed = float(render_spec.speed) if render_spec.speed else 1.0
-        if speed <= 0:
-            speed = 1.0
-        # 变速后的实际播放时长
-        actual_duration_sec = (duration_ms / 1000.0) / speed
-
-        # 构建 FFmpeg 命令
-        cmd = [
-            'ffmpeg', '-y', '-hide_banner',
-            '-loop', '1',  # 循环输入图片
-            '-i', image_file,
-            '-t', str(actual_duration_sec),  # 输出时长
-        ]
-
-        # 构建滤镜：缩放填充到目标尺寸
-        filters = []
-
-        # 裁切处理（与视频相同逻辑）
-        if render_spec.crop_enable and render_spec.face_pos:
-            try:
-                fx, fy = map(float, render_spec.face_pos.split(','))
-                target_ratio = width / height
-                filters.append(
-                    f"crop='min(iw,ih*{target_ratio})':'min(ih,iw/{target_ratio})':"
-                    f"'(iw-min(iw,ih*{target_ratio}))*{fx}':"
-                    f"'(ih-min(ih,iw/{target_ratio}))*{fy}'"
-                )
-            except (ValueError, ZeroDivisionError):
-                logger.warning(f"[task:{task_id}] Invalid face position: {render_spec.face_pos}")
-        elif render_spec.zoom_cut:
-            target_ratio = width / height
-            filters.append(
-                f"crop='min(iw,ih*{target_ratio})':'min(ih,iw/{target_ratio})'"
-            )
-
-        # 缩放填充
-        filters.append(
-            f"scale={width}:{height}:force_original_aspect_ratio=decrease,"
-            f"pad={width}:{height}:(ow-iw)/2:(oh-ih)/2:black"
-        )
-
-        # 格式转换（确保兼容性）
-        filters.append("format=yuv420p")
-
-        cmd.extend(['-vf', ','.join(filters)])
-
-        # 计算总帧数，动态调整 GOP
-        total_frames = int(actual_duration_sec * fps)
-        if total_frames <= 1:
-            gop_size = 1
-        elif total_frames < fps:
-            gop_size = total_frames
-        else:
-            gop_size = fps * 2  # 正常情况，2 秒一个关键帧
-
-        # 编码参数
-        cmd.extend([
-            '-c:v', 'libx264',
-            '-preset', 'fast',
-            '-crf', '18',
-            '-r', str(fps),
-            '-g', str(gop_size),
-            '-keyint_min', str(min(gop_size, fps // 2 or 1)),
-            '-force_key_frames', 'expr:eq(n,0)',
-            '-an',  # 无音频
-            output_file
-        ])
-
-        logger.info(f"[task:{task_id}] Converting image to video: {actual_duration_sec:.2f}s at {fps}fps")
-        return self.run_ffmpeg(cmd, task_id)
-
-    def _build_command(
-        self,
-        input_file: str,
-        output_file: str,
-        render_spec: RenderSpec,
-        output_spec: OutputSpec,
-        duration_ms: int,
-        lut_file: Optional[str] = None,
-        overlay_file: Optional[str] = None,
-        overlap_head_ms: int = 0,
-        overlap_tail_ms: int = 0,
-        source_duration_sec: Optional[float] = None
-    ) -> List[str]:
-        """
-        构建 FFmpeg 渲染命令
-
-        Args:
-            input_file: 输入文件路径
-            output_file: 输出文件路径
-            render_spec: 渲染规格
-            output_spec: 输出规格
-            duration_ms: 目标时长（毫秒）
-            lut_file: LUT 文件路径（可选）
-            overlay_file: 叠加层文件路径（可选）
-            overlap_head_ms: 头部 overlap 时长（毫秒）
-            overlap_tail_ms: 尾部 overlap 时长（毫秒）
-            source_duration_sec: 源视频实际时长（秒），用于检测时长不足
-
-        Returns:
-            FFmpeg 命令参数列表
-        """
-        cmd = ['ffmpeg', '-y', '-hide_banner']
-
-        # 硬件加速解码参数（在输入文件之前）
-        hwaccel_args = self.get_hwaccel_decode_args()
-        if hwaccel_args:
-            cmd.extend(hwaccel_args)
-
-        # 输入文件
-        cmd.extend(['-i', input_file])
-
-        # 叠加层输入
-        if overlay_file:
-            cmd.extend(['-i', overlay_file])
-
-        # 构建视频滤镜链
-        filters = self._build_video_filters(
-            render_spec=render_spec,
-            output_spec=output_spec,
-            duration_ms=duration_ms,
-            lut_file=lut_file,
-            overlay_file=overlay_file,
-            overlap_head_ms=overlap_head_ms,
-            overlap_tail_ms=overlap_tail_ms,
-            source_duration_sec=source_duration_sec
-        )
-
-        # 应用滤镜
-        # 检测是否为 filter_complex 格式（包含分号或方括号标签）
-        is_filter_complex = ';' in filters or (filters.startswith('[') and ']' in filters)
-        if is_filter_complex or overlay_file:
-            # 使用 filter_complex 处理
-            cmd.extend(['-filter_complex', filters])
-        elif filters:
-            cmd.extend(['-vf', filters])
-
-        # 编码参数（根据硬件加速配置动态获取）
-        cmd.extend(self.get_video_encode_args())
-
-        # 帧率
-        fps = output_spec.fps
-        cmd.extend(['-r', str(fps)])
-
-        # 时长（包含 overlap 区域）
-        total_duration_ms = duration_ms + overlap_head_ms + overlap_tail_ms
-        duration_sec = total_duration_ms / 1000.0
-        cmd.extend(['-t', str(duration_sec)])
-
-        # 动态调整 GOP 大小：对于短视频，GOP 不能大于总帧数
-        total_frames = int(duration_sec * fps)
-        if total_frames <= 1:
-            gop_size = 1
-        elif total_frames < fps:
-            # 短于 1 秒的视频，使用全部帧数作为 GOP（整个视频只有开头一个关键帧）
-            gop_size = total_frames
-        else:
-            # 正常情况，2 秒一个关键帧
-            gop_size = fps * 2
-
-        cmd.extend(['-g', str(gop_size)])
-        cmd.extend(['-keyint_min', str(min(gop_size, fps // 2 or 1))])
-
-        # 强制第一帧为关键帧
-        cmd.extend(['-force_key_frames', 'expr:eq(n,0)'])
-
-        # 无音频（视频片段不包含音频）
-        cmd.append('-an')
-
-        # 输出文件
-        cmd.append(output_file)
-
-        return cmd
-
-    def _build_video_filters(
-        self,
-        render_spec: RenderSpec,
-        output_spec: OutputSpec,
-        duration_ms: int,
-        lut_file: Optional[str] = None,
-        overlay_file: Optional[str] = None,
-        overlap_head_ms: int = 0,
-        overlap_tail_ms: int = 0,
-        source_duration_sec: Optional[float] = None
-    ) -> str:
-        """
-        构建视频滤镜链
-
-        Args:
-            render_spec: 渲染规格
-            output_spec: 输出规格
-            duration_ms: 目标时长（毫秒）
-            lut_file: LUT 文件路径
-            overlay_file: 叠加层文件路径（支持图片 png/jpg 和视频 mov）
-            overlap_head_ms: 头部 overlap 时长（毫秒）
-            overlap_tail_ms: 尾部 overlap 时长（毫秒）
-            source_duration_sec: 源视频实际时长（秒），用于检测时长不足
-
-        Returns:
-            滤镜字符串
-        """
-        filters = []
-        width = output_spec.width
-        height = output_spec.height
-        fps = output_spec.fps
-
-        # 判断 overlay 类型
-        has_overlay = overlay_file is not None
-        is_video_overlay = has_overlay and overlay_file.lower().endswith('.mov')
-
-        # 解析 effects
-        effects = render_spec.get_effects()
-        has_camera_shot = any(e.effect_type == 'cameraShot' for e in effects)
-
-        # 硬件加速时需要先 hwdownload（将 GPU 表面下载到系统内存）
-        hwaccel_prefix = self.get_hwaccel_filter_prefix()
-        if hwaccel_prefix:
-            # 去掉末尾的逗号，作为第一个滤镜
-            filters.append(hwaccel_prefix.rstrip(','))
-
-        # 1. 变速处理
-        speed = float(render_spec.speed) if render_spec.speed else 1.0
-        if speed != 1.0 and speed > 0:
-            # setpts 公式：PTS / speed
-            pts_factor = 1.0 / speed
-            filters.append(f"setpts={pts_factor}*PTS")
-
-        # 2. LUT 调色
-        if lut_file:
-            # 路径中的反斜杠需要转换，冒号需要转义（FFmpeg filter语法中冒号是特殊字符）
-            lut_path = lut_file.replace('\\', '/').replace(':', r'\:')
-            filters.append(f"lut3d='{lut_path}'")
-
-        # 3. 裁切处理
-        if render_spec.crop_enable and render_spec.face_pos:
-            # 根据人脸位置进行智能裁切
-            try:
-                fx, fy = map(float, render_spec.face_pos.split(','))
-                # 计算裁切区域（保持输出比例）
-                target_ratio = width / height
-                # 假设裁切到目标比例
-                filters.append(
-                    f"crop='min(iw,ih*{target_ratio})':'min(ih,iw/{target_ratio})':"
-                    f"'(iw-min(iw,ih*{target_ratio}))*{fx}':"
-                    f"'(ih-min(ih,iw/{target_ratio}))*{fy}'"
-                )
-            except (ValueError, ZeroDivisionError):
-                logger.warning(f"Invalid face position: {render_spec.face_pos}")
-        elif render_spec.zoom_cut:
-            # 中心缩放裁切
-            target_ratio = width / height
-            filters.append(
-                f"crop='min(iw,ih*{target_ratio})':'min(ih,iw/{target_ratio})'"
-            )
-
-        # 4. 缩放和填充
-        scale_filter = (
-            f"scale={width}:{height}:force_original_aspect_ratio=decrease,"
-            f"pad={width}:{height}:(ow-iw)/2:(oh-ih)/2:black"
-        )
-        filters.append(scale_filter)
-
-        # 5. 特效处理（cameraShot 需要特殊处理）
-        if has_camera_shot:
-            # cameraShot 需要使用 filter_complex 格式
-            return self._build_filter_complex_with_effects(
-                base_filters=filters,
-                effects=effects,
-                fps=fps,
-                width=width,
-                height=height,
-                has_overlay=has_overlay,
-                is_video_overlay=is_video_overlay,
-                overlap_head_ms=overlap_head_ms,
-                overlap_tail_ms=overlap_tail_ms,
-                use_hwdownload=bool(hwaccel_prefix),
-                duration_ms=duration_ms,
-                render_spec=render_spec,
-                source_duration_sec=source_duration_sec
-            )
-
-        # 6. 帧冻结（tpad）- 用于转场 overlap 区域和时长不足补足
-        # 注意：tpad 必须在缩放之后应用
-        tpad_parts = []
-
-        # 计算是否需要额外的尾部冻结（源视频时长不足）
-        extra_tail_freeze_sec = 0.0
-        if source_duration_sec is not None:
-            speed = float(render_spec.speed) if render_spec.speed else 1.0
-            if speed > 0:
-                # 计算变速后的有效时长
-                effective_duration_sec = source_duration_sec / speed
-                required_duration_sec = duration_ms / 1000.0
-
-                # 如果源视频时长不足，需要冻结最后一帧来补足
-                if effective_duration_sec < required_duration_sec:
-                    extra_tail_freeze_sec = required_duration_sec - effective_duration_sec
-
-        if overlap_head_ms > 0:
-            # 头部冻结：将第一帧冻结指定时长
-            head_duration_sec = overlap_head_ms / 1000.0
-            tpad_parts.append(f"start_mode=clone:start_duration={head_duration_sec}")
-
-        # 尾部冻结：合并 overlap 和时长不足的冻结
-        total_tail_freeze_sec = (overlap_tail_ms / 1000.0) + extra_tail_freeze_sec
-        if total_tail_freeze_sec > 0:
-            # 将最后一帧冻结指定时长
-            tpad_parts.append(f"stop_mode=clone:stop_duration={total_tail_freeze_sec}")
-
-        if tpad_parts:
-            filters.append(f"tpad={':'.join(tpad_parts)}")
-
-        # 7. 构建最终滤镜
-        if has_overlay:
-            # 使用 filter_complex 格式
-            base_filters = ','.join(filters) if filters else 'copy'
-            overlay_scale = f"scale={width}:{height}"
-            # 视频 overlay 使用 eof_action=pass（结束后消失），图片 overlay 使用默认行为（保持显示）
-            overlay_params = 'eof_action=pass' if is_video_overlay else ''
-            overlay_filter = f"overlay=0:0:{overlay_params}" if overlay_params else 'overlay=0:0'
-            # 视频 overlay 需要在末尾统一颜色范围，避免 overlay 结束后 range 从 tv 变为 pc
-            range_fix = ',format=yuv420p,setrange=tv' if is_video_overlay else ''
-            return f"[0:v]{base_filters}[base];[1:v]{overlay_scale}[overlay];[base][overlay]{overlay_filter}{range_fix}"
-        else:
-            return ','.join(filters) if filters else ''
-
-    def _build_filter_complex_with_effects(
-        self,
-        base_filters: List[str],
-        effects: List[Effect],
-        fps: int,
-        width: int,
-        height: int,
-        has_overlay: bool = False,
-        is_video_overlay: bool = False,
-        overlap_head_ms: int = 0,
-        overlap_tail_ms: int = 0,
-        use_hwdownload: bool = False,
-        duration_ms: int = 0,
-        render_spec: Optional[RenderSpec] = None,
-        source_duration_sec: Optional[float] = None
-    ) -> str:
-        """
-        构建包含特效的 filter_complex 滤镜图
-
-        cameraShot 效果需要使用 split/freezeframes/concat 滤镜组合。
-
-        Args:
-            base_filters: 基础滤镜列表
-            effects: 特效列表
-            fps: 帧率
-            width: 输出宽度
-            height: 输出高度
-            has_overlay: 是否有叠加层
-            is_video_overlay: 叠加层是否为视频格式（如 .mov）
-            overlap_head_ms: 头部 overlap 时长
-            overlap_tail_ms: 尾部 overlap 时长
-            use_hwdownload: 是否使用了硬件加速解码（已在 base_filters 中包含 hwdownload）
-            duration_ms: 目标时长（毫秒）
-            render_spec: 渲染规格（用于获取变速参数）
-            source_duration_sec: 源视频实际时长（秒），用于检测时长不足
-
-        Returns:
-            filter_complex 格式的滤镜字符串
-        """
-        filter_parts = []
-
-        # 基础滤镜链
-        base_chain = ','.join(base_filters) if base_filters else 'copy'
-
-        # 当前输出标签
-        current_output = '[v_base]'
-        filter_parts.append(f"[0:v]{base_chain}{current_output}")
-
-        # 处理每个特效
-        effect_idx = 0
-        for effect in effects:
-            if effect.effect_type == 'cameraShot':
-                start_sec, duration_sec = effect.get_camera_shot_params()
-                if start_sec <= 0 or duration_sec <= 0:
-                    continue
-
-                # cameraShot 实现（定格效果）：
-                # 1. fps + split 分割
-                # 2. 第一路：trim(0, start) + tpad冻结duration秒
-                # 3. 第二路：trim(start, end)
-                # 4. concat 拼接
-
-                split_out_a = f'[eff{effect_idx}_a]'
-                split_out_b = f'[eff{effect_idx}_b]'
-                frozen_out = f'[eff{effect_idx}_frozen]'
-                rest_out = f'[eff{effect_idx}_rest]'
-                effect_output = f'[v_eff{effect_idx}]'
-
-                # fps + split
-                filter_parts.append(
-                    f"{current_output}fps=fps={fps},split{split_out_a}{split_out_b}"
-                )
-
-                # 第一路：trim(0, start) + tpad冻结
-                # tpad=stop_mode=clone 将最后一帧冻结指定时长
-                filter_parts.append(
-                    f"{split_out_a}trim=start=0:end={start_sec},setpts=PTS-STARTPTS,"
-                    f"tpad=stop_mode=clone:stop_duration={duration_sec}{frozen_out}"
-                )
-
-                # 第二路：trim 从 start 开始
-                filter_parts.append(
-                    f"{split_out_b}trim=start={start_sec},setpts=PTS-STARTPTS{rest_out}"
-                )
-
-                # concat 拼接
-                filter_parts.append(
-                    f"{frozen_out}{rest_out}concat=n=2:v=1:a=0{effect_output}"
-                )
-
-                current_output = effect_output
-                effect_idx += 1
-
-        # 帧冻结（tpad）- 用于转场 overlap 区域和时长不足补足
-        tpad_parts = []
-
-        # 计算是否需要额外的尾部冻结（源视频时长不足）
-        extra_tail_freeze_sec = 0.0
-        if source_duration_sec is not None and render_spec is not None and duration_ms > 0:
-            speed = float(render_spec.speed) if render_spec.speed else 1.0
-            if speed > 0:
-                # 计算变速后的有效时长
-                effective_duration_sec = source_duration_sec / speed
-                required_duration_sec = duration_ms / 1000.0
-
-                # 如果源视频时长不足，需要冻结最后一帧来补足
-                if effective_duration_sec < required_duration_sec:
-                    extra_tail_freeze_sec = required_duration_sec - effective_duration_sec
-
-        if overlap_head_ms > 0:
-            head_duration_sec = overlap_head_ms / 1000.0
-            tpad_parts.append(f"start_mode=clone:start_duration={head_duration_sec}")
-
-        # 尾部冻结：合并 overlap 和时长不足的冻结
-        total_tail_freeze_sec = (overlap_tail_ms / 1000.0) + extra_tail_freeze_sec
-        if total_tail_freeze_sec > 0:
-            tpad_parts.append(f"stop_mode=clone:stop_duration={total_tail_freeze_sec}")
-
-        if tpad_parts:
-            tpad_output = '[v_tpad]'
-            filter_parts.append(f"{current_output}tpad={':'.join(tpad_parts)}{tpad_output}")
-            current_output = tpad_output
-
-        # 最终输出
-        if has_overlay:
-            # 叠加层处理
-            # 视频 overlay 使用 eof_action=pass（结束后消失），图片 overlay 使用默认行为（保持显示）
-            overlay_params = 'eof_action=pass' if is_video_overlay else ''
-            overlay_filter = f"overlay=0:0:{overlay_params}" if overlay_params else 'overlay=0:0'
-            overlay_scale = f"scale={width}:{height}"
-            overlay_output = '[v_overlay]'
-            # 视频 overlay 需要在末尾统一颜色范围，避免 overlay 结束后 range 从 tv 变为 pc
-            range_fix = ',format=yuv420p,setrange=tv' if is_video_overlay else ''
-            filter_parts.append(f"[1:v]{overlay_scale}{overlay_output}")
-            filter_parts.append(f"{current_output}{overlay_output}{overlay_filter}{range_fix}")
-        else:
-            # 移除最后一个标签，直接输出
-            # 将最后一个滤镜的输出标签替换为空（直接输出）
-            if filter_parts:
-                last_filter = filter_parts[-1]
-                # 移除末尾的输出标签
-                if last_filter.endswith(current_output):
-                    filter_parts[-1] = last_filter[:-len(current_output)]
-
-        return ';'.join(filter_parts)

index.py

@@ -1,228 +1,94 @@
-#!/usr/bin/env python3
+from time import sleep
-# -*- coding: utf-8 -*-
-"""
-RenderWorker v2 入口
-
-支持 v2 API 协议的渲染 Worker，处理以下任务类型：
-- RENDER_SEGMENT_VIDEO: 渲染视频片段
-- PREPARE_JOB_AUDIO: 生成全局音频
-- PACKAGE_SEGMENT_TS: 封装 TS 分片
-- FINALIZE_MP4: 产出最终 MP4
-
-使用方法:
-    python index.py
-
-环境变量:
-    API_ENDPOINT_V2: v2 API 端点（或使用 API_ENDPOINT）
-    ACCESS_KEY: Worker 认证密钥
-    WORKER_ID: Worker ID（默认 100001）
-    MAX_CONCURRENCY: 最大并发数（默认 4）
-    HEARTBEAT_INTERVAL: 心跳间隔秒数（默认 5）
-    TEMP_DIR: 临时文件目录
-"""
-
 import sys
-import time
+
-import signal
+import config
-import logging
+import biz.task
+from telemetry import init_opentelemetry
+from services import DefaultTemplateService
+from util import api
+
 import os
-from logging.handlers import RotatingFileHandler
+import glob
 
-from dotenv import load_dotenv
+# 使用新的服务容器架构
+from services.service_container import get_template_service, register_default_services
 
-from domain.config import WorkerConfig
+# 确保服务已注册
-from services.api_client import APIClientV2
+register_default_services()
-from services.task_executor import TaskExecutor
+template_service = get_template_service()
-from constant import SOFTWARE_VERSION
 
-# 日志配置
+# Check for redownload parameter
-def setup_logging():
+if "redownload" in sys.argv:
-    """配置日志系统，输出到控制台和文件"""
+    print("Redownloading all templates...")
-    # 日志格式
-    log_format = '[%(asctime)s] [%(levelname)s] [%(name)s] %(message)s'
-    date_format = '%Y-%m-%d %H:%M:%S'
-    formatter = logging.Formatter(log_format, date_format)
-
-    # 获取根logger
-    root_logger = logging.getLogger()
-    root_logger.setLevel(logging.INFO)
-
-    # 清除已有的handlers（避免重复）
-    root_logger.handlers.clear()
-
-    # 1. 控制台handler（只输出WARNING及以上级别）
-    console_handler = logging.StreamHandler()
-    console_handler.setLevel(logging.WARNING)
-    console_handler.setFormatter(formatter)
-    root_logger.addHandler(console_handler)
-
-    # 确保日志文件所在目录存在
-    log_dir = os.path.dirname(os.path.abspath(__file__))
-
-    # 2. 所有日志文件handler（all_log.log）
-    all_log_path = os.path.join(log_dir, 'all_log.log')
-    all_log_handler = RotatingFileHandler(
-        all_log_path,
-        maxBytes=10*1024*1024,  # 10MB
-        backupCount=5,
-        encoding='utf-8'
-    )
-    all_log_handler.setLevel(logging.DEBUG)  # 记录所有级别
-    all_log_handler.setFormatter(formatter)
-    root_logger.addHandler(all_log_handler)
-
-    # 3. 错误日志文件handler（error.log）
-    error_log_path = os.path.join(log_dir, 'error.log')
-    error_log_handler = RotatingFileHandler(
-        error_log_path,
-        maxBytes=10*1024*1024,  # 10MB
-        backupCount=5,
-        encoding='utf-8'
-    )
-    error_log_handler.setLevel(logging.ERROR)  # 只记录ERROR及以上
-    error_log_handler.setFormatter(formatter)
-    root_logger.addHandler(error_log_handler)
-
-# 初始化日志系统
-setup_logging()
-logger = logging.getLogger('worker')
-
-
-class WorkerV2:
-    """
-    v2 渲染 Worker 主类
-
-    负责：
-    - 配置加载
-    - API 客户端初始化
-    - 任务执行器管理
-    - 主循环运行
-    - 优雅退出处理
-    """
-
-    def __init__(self):
-        """初始化 Worker"""
-        # 加载配置
     try:
-            self.config = WorkerConfig.from_env()
+        for template_name in template_service.get_all_templates().keys():
-        except ValueError as e:
+            print(f"Redownloading template: {template_name}")
-            logger.error(f"Configuration error: {e}")
+            if not template_service.download_template(template_name):
+                print(f"Failed to download template: {template_name}")
+        print("Template redownload process completed!")
+    except Exception as e:
+        print(f"Error during template redownload: {e}")
         sys.exit(1)
+    sys.exit(0)
+import logging
 
-        # 初始化 API 客户端
+LOGGER = logging.getLogger(__name__)
-        self.api_client = APIClientV2(self.config)
+init_opentelemetry()
 
-        # 初始化任务执行器
-        self.task_executor = TaskExecutor(self.config, self.api_client)
 
-        # 运行状态
+def cleanup_temp_files():
-        self.running = True
+    """清理临时文件 - 异步执行避免阻塞主循环"""
+    import threading
 
-        # 确保临时目录存在
+    def _cleanup():
-        self.config.ensure_temp_dir()
+        for file_globs in ["*.mp4", "*.ts", "tmp_concat*.txt"]:
-
+            for file_path in glob.glob(file_globs):
-        # 注册信号处理器
-        self._setup_signal_handlers()
-
-    def _setup_signal_handlers(self):
-        """设置信号处理器"""
-        # Windows 不支持 SIGTERM
-        signal.signal(signal.SIGINT, self._signal_handler)
-        if hasattr(signal, 'SIGTERM'):
-            signal.signal(signal.SIGTERM, self._signal_handler)
-
-    def _signal_handler(self, signum, frame):
-        """
-        信号处理，优雅退出
-
-        Args:
-            signum: 信号编号
-            frame: 当前栈帧
-        """
-        signal_name = signal.Signals(signum).name
-        logger.info(f"Received signal {signal_name}, initiating shutdown...")
-        self.running = False
-
-    def run(self):
-        """主循环"""
-        logger.info("=" * 60)
-        logger.info("RenderWorker v2 Starting")
-        logger.info("=" * 60)
-        logger.info(f"Worker ID: {self.config.worker_id}")
-        logger.info(f"API Endpoint: {self.config.api_endpoint}")
-        logger.info(f"Max Concurrency: {self.config.max_concurrency}")
-        logger.info(f"Heartbeat Interval: {self.config.heartbeat_interval}s")
-        logger.info(f"Capabilities: {', '.join(self.config.capabilities)}")
-        logger.info(f"Temp Directory: {self.config.temp_dir}")
-        logger.info("=" * 60)
-
-        consecutive_errors = 0
-        max_consecutive_errors = 10
-
-        while self.running:
                 try:
-                # 心跳同步并拉取任务
+                    if os.path.exists(file_path):
-                current_task_ids = self.task_executor.get_current_task_ids()
+                        os.remove(file_path)
-                tasks = self.api_client.sync(current_task_ids)
+                        LOGGER.debug(f"Deleted temp file: {file_path}")
+                except Exception as e:
+                    LOGGER.warning(f"Error deleting file {file_path}: {e}")
 
-                # 提交新任务
+    # 在后台线程中执行清理
-                for task in tasks:
+    threading.Thread(target=_cleanup, daemon=True).start()
-                    if self.task_executor.submit_task(task):
-                        logger.info(f"Submitted task: {task.task_id} ({task.task_type.value})")
 
-                # 重置错误计数
-                consecutive_errors = 0
 
-                # 等待下次心跳
+def main_loop():
-                time.sleep(self.config.heartbeat_interval)
+    """主处理循环"""
+    while True:
+        try:
+            print("waiting for task...")
+            task_list = api.sync_center()
+
+            if len(task_list) == 0:
+                # 异步清理临时文件
+                cleanup_temp_files()
+                sleep(5)
+                continue
+
+            for task in task_list:
+                task_id = task.get("id", "unknown")
+                print(f"Processing task: {task_id}")
+
+                try:
+                    biz.task.start_task(task)
+                    LOGGER.info(f"Task {task_id} completed successfully")
+                except Exception as e:
+                    LOGGER.error(f"Task {task_id} failed: {e}", exc_info=True)
+                    # 继续处理下一个任务而不是崩溃
 
         except KeyboardInterrupt:
-                logger.info("Keyboard interrupt received")
+            LOGGER.info("Received shutdown signal, exiting...")
-                self.running = False
+            break
         except Exception as e:
-                consecutive_errors += 1
+            LOGGER.error("Unexpected error in main loop", exc_info=e)
-                logger.error(f"Worker loop error ({consecutive_errors}/{max_consecutive_errors}): {e}", exc_info=True)
+            sleep(5)  # 避免快速循环消耗CPU
-
-                # 连续错误过多，增加等待时间
-                if consecutive_errors >= max_consecutive_errors:
-                    logger.error("Too many consecutive errors, waiting 30 seconds...")
-                    time.sleep(30)
-                    consecutive_errors = 0
-                else:
-                    time.sleep(5)
-
-        # 优雅关闭
-        self._shutdown()
-
-    def _shutdown(self):
-        """优雅关闭"""
-        logger.info("Shutting down...")
-
-        # 等待当前任务完成
-        current_count = self.task_executor.get_current_task_count()
-        if current_count > 0:
-            logger.info(f"Waiting for {current_count} running task(s) to complete...")
-
-        # 关闭执行器
-        self.task_executor.shutdown(wait=True)
-
-        # 关闭 API 客户端
-        self.api_client.close()
-
-        logger.info("Worker stopped")
 
 
-def main():
+if __name__ == "__main__":
-    """主函数"""
+    try:
-    # 加载 .env 文件（如果存在）
+        main_loop()
-    load_dotenv()
+    except Exception as e:
-
+        LOGGER.critical("Critical error in main process", exc_info=e)
-    logger.info(f"RenderWorker v{SOFTWARE_VERSION}")
+        sys.exit(1)
-
-    # 创建并运行 Worker
-    worker = WorkerV2()
-    worker.run()
-
-
-if __name__ == '__main__':
-    main()

mypy.ini

@@ -0,0 +1,42 @@
+[mypy]
+python_version = 3.9
+warn_return_any = False
+warn_unused_configs = False
+disallow_untyped_defs = False
+disallow_incomplete_defs = False
+check_untyped_defs = False
+disallow_untyped_decorators = False
+no_implicit_optional = False
+warn_redundant_casts = False
+warn_unused_ignores = False
+warn_no_return = False
+warn_unreachable = False
+strict_equality = False
+namespace_packages = True
+explicit_package_bases = True
+show_error_codes = True
+
+# Exclude tests code
+exclude = tests/
+
+# Ignore missing type annotations for third-party libraries
+[mypy-requests.*]
+ignore_missing_imports = True
+
+[mypy-flask.*]
+ignore_missing_imports = True
+
+[mypy-pytest.*]
+ignore_missing_imports = True
+
+[mypy-PIL.*]
+ignore_missing_imports = True
+
+[mypy-psutil.*]
+ignore_missing_imports = True
+
+[mypy-opentelemetry.*]
+ignore_missing_imports = True
+
+[mypy-dotenv.*]
+ignore_missing_imports = True

pytest.ini

@@ -0,0 +1,53 @@
+[tool:pytest]
+testpaths = tests
+python_files = test_*.py
+python_classes = Test*
+python_functions = test_*
+
+# 标记定义
+markers =
+    integration: marks tests as integration tests (may be slow)
+    unit: marks tests as unit tests (fast)
+    slow: marks tests as slow running
+    stress: marks tests as stress tests
+
+# 输出配置
+addopts =
+    -v
+    --tb=short
+    --strict-markers
+    --strict-config
+    --cov=entity
+    --cov=services
+    --cov-report=xml:coverage.xml
+    --cov-report=html:htmlcov
+    --cov-report=term-missing
+    --cov-branch
+
+# 过滤警告
+filterwarnings =
+    ignore::DeprecationWarning
+    ignore::PendingDeprecationWarning
+
+# 最小覆盖率要求
+[tool:coverage:run]
+source = entity,services
+omit =
+    */tests/*
+    */test_*
+    */__pycache__/*
+    */venv/*
+    */env/*
+
+[tool:coverage:report]
+exclude_lines =
+    pragma: no cover
+    def __repr__
+    if self.debug:
+    if settings.DEBUG
+    raise AssertionError
+    raise NotImplementedError
+    if 0:
+    if __name__ == .__main__.:
+    class .*\bProtocol\):
+    @(abc\.)?abstractmethod

requirements-test.txt

@@ -0,0 +1,23 @@
+# 测试依赖
+pytest>=7.0.0
+pytest-cov>=4.0.0
+pytest-mock>=3.10.0
+pytest-xdist>=3.0.0  # 并行测试
+pytest-timeout>=2.1.0
+pytest-html>=3.1.0  # HTML报告
+
+# 代码质量
+flake8>=5.0.0
+black>=22.0.0
+mypy>=1.0.0
+
+# 覆盖率报告
+coverage[toml]>=6.0.0
+
+# 性能测试
+pytest-benchmark>=4.0.0
+
+# 测试辅助
+factory-boy>=3.2.0  # 测试数据工厂
+freezegun>=1.2.0    # 时间模拟
+responses>=0.22.0   # HTTP模拟

run_tests.py

@@ -0,0 +1,294 @@
+#!/usr/bin/env python
+"""
+测试运行器脚本
+支持不同类型的测试运行和报告生成
+"""
+import os
+import sys
+import subprocess
+import argparse
+import tempfile
+from pathlib import Path
+
+
+def run_command(cmd, cwd=None):
+    """运行命令并返回结果"""
+    print(f"Running: {' '.join(cmd)}")
+    try:
+        result = subprocess.run(
+            cmd, cwd=cwd, capture_output=True, text=True, check=False
+        )
+        if result.stdout:
+            print(result.stdout)
+        if result.stderr:
+            print(result.stderr, file=sys.stderr)
+        return result.returncode == 0
+    except Exception as e:
+        print(f"Error running command: {e}", file=sys.stderr)
+        return False
+
+
+def check_dependencies():
+    """检查依赖是否安装"""
+    print("Checking dependencies...")
+
+    # 检查pytest
+    if not run_command([sys.executable, "-c", "import pytest"]):
+        print("pytest not found. Installing test dependencies...")
+        if not run_command(
+            [sys.executable, "-m", "pip", "install", "-r", "requirements-test.txt"]
+        ):
+            print("Failed to install test dependencies", file=sys.stderr)
+            return False
+
+    # 检查FFmpeg
+    ffmpeg_available = run_command(["ffmpeg", "-version"])
+    if not ffmpeg_available:
+        print("Warning: FFmpeg not found. Integration tests may be skipped.")
+
+    return True
+
+
+def run_unit_tests(args):
+    """运行单元测试"""
+    print("\n=== Running Unit Tests ===")
+
+    cmd = [
+        sys.executable,
+        "-m",
+        "pytest",
+        "tests/test_effects/",
+        "tests/test_ffmpeg_builder/",
+        "-v",
+        "-m",
+        "not integration",
+    ]
+
+    if args.coverage:
+        cmd.extend(
+            [
+                "--cov=entity",
+                "--cov=services",
+                "--cov-report=xml:coverage.xml",
+                "--cov-report=html:htmlcov",
+                "--cov-report=term-missing",
+                "--cov-branch",
+            ]
+        )
+
+    if args.xml_report:
+        cmd.extend(["--junitxml=unit-tests.xml"])
+
+    if args.html_report:
+        cmd.extend(["--html=unit-tests.html", "--self-contained-html"])
+
+    return run_command(cmd)
+
+
+def run_integration_tests(args):
+    """运行集成测试"""
+    print("\n=== Running Integration Tests ===")
+
+    # 检查FFmpeg
+    if not run_command(["ffmpeg", "-version"]):
+        print("FFmpeg not available, skipping integration tests")
+        return True
+
+    cmd = [
+        sys.executable,
+        "-m",
+        "pytest",
+        "tests/test_integration/",
+        "-v",
+        "-m",
+        "integration",
+        "--timeout=300",
+    ]
+
+    if args.coverage:
+        cmd.extend(
+            [
+                "--cov=entity",
+                "--cov=services",
+                "--cov-report=xml:integration-coverage.xml",
+                "--cov-report=html:integration-htmlcov",
+                "--cov-branch",
+            ]
+        )
+
+    if args.xml_report:
+        cmd.extend(["--junitxml=integration-tests.xml"])
+
+    if args.html_report:
+        cmd.extend(["--html=integration-tests.html", "--self-contained-html"])
+
+    return run_command(cmd)
+
+
+def run_all_tests(args):
+    """运行所有测试"""
+    print("\n=== Running All Tests ===")
+
+    cmd = [sys.executable, "-m", "pytest", "tests/", "-v"]
+
+    if args.coverage:
+        cmd.extend(
+            [
+                "--cov=entity",
+                "--cov=services",
+                "--cov-report=xml:coverage.xml",
+                "--cov-report=html:htmlcov",
+                "--cov-report=term-missing",
+                "--cov-branch",
+            ]
+        )
+
+        if args.fail_under:
+            cmd.extend([f"--cov-fail-under={args.fail_under}"])
+
+    if args.xml_report:
+        cmd.extend(["--junitxml=all-tests.xml"])
+
+    if args.html_report:
+        cmd.extend(["--html=all-tests.html", "--self-contained-html"])
+
+    return run_command(cmd)
+
+
+def run_effect_tests(effect_name=None):
+    """运行特定特效测试"""
+    if effect_name:
+        print(f"\n=== Running {effect_name} Effect Tests ===")
+        cmd = [
+            sys.executable,
+            "-m",
+            "pytest",
+            f"tests/test_effects/test_{effect_name}_effect.py",
+            "-v",
+        ]
+    else:
+        print("\n=== Running All Effect Tests ===")
+        cmd = [sys.executable, "-m", "pytest", "tests/test_effects/", "-v"]
+
+    return run_command(cmd)
+
+
+def run_stress_tests():
+    """运行压力测试"""
+    print("\n=== Running Stress Tests ===")
+
+    env = os.environ.copy()
+    env["RUN_STRESS_TESTS"] = "1"
+
+    cmd = [
+        sys.executable,
+        "-m",
+        "pytest",
+        "tests/test_integration/",
+        "-v",
+        "-m",
+        "stress",
+        "--timeout=600",
+    ]
+
+    return subprocess.run(cmd, env=env).returncode == 0
+
+
+def create_test_video():
+    """创建测试视频文件"""
+    print("\n=== Creating Test Video Files ===")
+
+    if not run_command(["ffmpeg", "-version"]):
+        print("FFmpeg not available, cannot create test videos")
+        return False
+
+    test_data_dir = Path("tests/test_data/videos")
+    test_data_dir.mkdir(parents=True, exist_ok=True)
+
+    # 创建短视频文件
+    video_path = test_data_dir / "sample.mp4"
+    cmd = [
+        "ffmpeg",
+        "-y",
+        "-f",
+        "lavfi",
+        "-i",
+        "testsrc=duration=5:size=640x480:rate=25",
+        "-c:v",
+        "libx264",
+        "-preset",
+        "ultrafast",
+        "-crf",
+        "23",
+        str(video_path),
+    ]
+
+    if run_command(cmd):
+        print(f"Created test video: {video_path}")
+        return True
+    else:
+        print("Failed to create test video")
+        return False
+
+
+def main():
+    parser = argparse.ArgumentParser(description="RenderWorker Test Runner")
+    parser.add_argument(
+        "test_type",
+        choices=["unit", "integration", "all", "effects", "stress", "setup"],
+        help="Type of tests to run",
+    )
+
+    parser.add_argument(
+        "--effect", help="Specific effect to test (for effects command)"
+    )
+    parser.add_argument(
+        "--coverage", action="store_true", help="Generate coverage report"
+    )
+    parser.add_argument(
+        "--xml-report", action="store_true", help="Generate XML test report"
+    )
+    parser.add_argument(
+        "--html-report", action="store_true", help="Generate HTML test report"
+    )
+    parser.add_argument(
+        "--fail-under", type=int, default=70, help="Minimum coverage percentage"
+    )
+    parser.add_argument(
+        "--no-deps-check", action="store_true", help="Skip dependency check"
+    )
+
+    args = parser.parse_args()
+
+    # 检查依赖
+    if not args.no_deps_check and not check_dependencies():
+        sys.exit(1)
+
+    # 运行相应的测试
+    success = True
+
+    if args.test_type == "unit":
+        success = run_unit_tests(args)
+    elif args.test_type == "integration":
+        success = run_integration_tests(args)
+    elif args.test_type == "all":
+        success = run_all_tests(args)
+    elif args.test_type == "effects":
+        success = run_effect_tests(args.effect)
+    elif args.test_type == "stress":
+        success = run_stress_tests()
+    elif args.test_type == "setup":
+        success = create_test_video()
+
+    if success:
+        print("\n✅ Tests completed successfully!")
+        if args.coverage:
+            print("📊 Coverage report generated in htmlcov/")
+        sys.exit(0)
+    else:
+        print("\n❌ Tests failed!")
+        sys.exit(1)
+
+
+if __name__ == "__main__":
+    main()

services/__init__.py

@@ -1,18 +1,26 @@
-# -*- coding: utf-8 -*-
+from .render_service import RenderService, DefaultRenderService
-"""
+from .task_service import TaskService, DefaultTaskService
-服务层
+from .template_service import TemplateService, DefaultTemplateService
-
+from .service_container import (
-包含 API 客户端、任务执行器、租约服务、存储服务等组件。
+    ServiceContainer,
-"""
+    get_container,
-
+    register_default_services,
-from services.api_client import APIClientV2
+    get_render_service,
-from services.lease_service import LeaseService
+    get_template_service,
-from services.task_executor import TaskExecutor
+    get_task_service,
-from services import storage
+)
 
 __all__ = [
-    'APIClientV2',
+    "RenderService",
-    'LeaseService',
+    "DefaultRenderService",
-    'TaskExecutor',
+    "TaskService",
-    'storage',
+    "DefaultTaskService",
+    "TemplateService",
+    "DefaultTemplateService",
+    "ServiceContainer",
+    "get_container",
+    "register_default_services",
+    "get_render_service",
+    "get_template_service",
+    "get_task_service",
 ]

services/api_client.py

@@ -1,417 +0,0 @@
-# -*- coding: utf-8 -*-
-"""
-v2 API 客户端
-
-实现与渲染服务端 v2 接口的通信。
-"""
-
-import logging
-import subprocess
-import time
-import requests
-from typing import Dict, List, Optional, Any
-
-from domain.task import Task
-from domain.config import WorkerConfig
-from util.system import get_hw_accel_info_str
-
-logger = logging.getLogger(__name__)
-
-
-class APIClientV2:
-    """
-    v2 API 客户端
-
-    负责与渲染服务端的所有 HTTP 通信。
-    """
-
-    SYSTEM_INFO_TTL_SECONDS = 30
-
-    def __init__(self, config: WorkerConfig):
-        """
-        初始化 API 客户端
-
-        Args:
-            config: Worker 配置
-        """
-        self.config = config
-        self.base_url = config.api_endpoint.rstrip('/')
-        self.access_key = config.access_key
-        self.worker_id = config.worker_id
-        self.session = requests.Session()
-
-        self._ffmpeg_version: Optional[str] = None
-        self._codec_info: Optional[str] = None
-        self._hw_accel_info: Optional[str] = None
-        self._gpu_info: Optional[str] = None
-        self._gpu_info_checked = False
-        self._static_system_info: Optional[Dict[str, Any]] = None
-        self._system_info_cache: Optional[Dict[str, Any]] = None
-        self._system_info_cache_ts = 0.0
-
-        # 设置默认请求头
-        self.session.headers.update({
-            'Content-Type': 'application/json',
-            'Accept': 'application/json'
-        })
-
-    def sync(self, current_task_ids: List[str]) -> List[Task]:
-        """
-        心跳同步并拉取任务
-
-        Args:
-            current_task_ids: 当前正在执行的任务 ID 列表
-
-        Returns:
-            List[Task]: 新分配的任务列表
-        """
-        url = f"{self.base_url}/render/v2/worker/sync"
-
-        # 将 task_id 转换为整数（服务端期望 []int64）
-        task_ids_int = [int(tid) for tid in current_task_ids if tid.isdigit()]
-
-        payload = {
-            'accessKey': self.access_key,
-            'workerId': self.worker_id,
-            'capabilities': self.config.capabilities,
-            'maxConcurrency': self.config.max_concurrency,
-            'currentTaskCount': len(current_task_ids),
-            'currentTaskIds': task_ids_int,
-            'ffmpegVersion': self._get_ffmpeg_version(),
-            'codecInfo': self._get_codec_info(),
-            'systemInfo': self._get_system_info()
-        }
-
-        try:
-            resp = self.session.post(url, json=payload, timeout=10)
-            resp.raise_for_status()
-            data = resp.json()
-
-            if data.get('code') != 200:
-                logger.warning(f"Sync failed: {data.get('message')}")
-                return []
-
-            # 解析任务列表
-            tasks = []
-            for task_data in data.get('data', {}).get('tasks') or []:
-                try:
-                    task = Task.from_dict(task_data)
-                    tasks.append(task)
-                except Exception as e:
-                    logger.error(f"Failed to parse task: {e}")
-
-            if tasks:
-                logger.info(f"Received {len(tasks)} new tasks")
-
-            return tasks
-
-        except requests.exceptions.Timeout:
-            logger.warning("Sync timeout")
-            return []
-        except requests.exceptions.RequestException as e:
-            logger.error(f"Sync request error: {e}")
-            return []
-        except Exception as e:
-            logger.error(f"Sync error: {e}")
-            return []
-
-    def report_start(self, task_id: str) -> bool:
-        """
-        报告任务开始
-
-        Args:
-            task_id: 任务 ID
-
-        Returns:
-            bool: 是否成功
-        """
-        url = f"{self.base_url}/render/v2/task/{task_id}/start"
-
-        try:
-            resp = self.session.post(
-                url,
-                json={'workerId': self.worker_id},
-                timeout=10
-            )
-            if resp.status_code == 200:
-                logger.debug(f"[task:{task_id}] Start reported")
-                return True
-            else:
-                logger.warning(f"[task:{task_id}] Report start failed: {resp.status_code}")
-                return False
-        except Exception as e:
-            logger.error(f"[task:{task_id}] Report start error: {e}")
-            return False
-
-    def report_success(self, task_id: str, result: Dict[str, Any]) -> bool:
-        """
-        报告任务成功
-
-        Args:
-            task_id: 任务 ID
-            result: 任务结果数据
-
-        Returns:
-            bool: 是否成功
-        """
-        url = f"{self.base_url}/render/v2/task/{task_id}/success"
-
-        try:
-            resp = self.session.post(
-                url,
-                json={
-                    'workerId': self.worker_id,
-                    'result': result
-                },
-                timeout=10
-            )
-            if resp.status_code == 200:
-                logger.debug(f"[task:{task_id}] Success reported")
-                return True
-            else:
-                logger.warning(f"[task:{task_id}] Report success failed: {resp.status_code}")
-                return False
-        except Exception as e:
-            logger.error(f"[task:{task_id}] Report success error: {e}")
-            return False
-
-    def report_fail(self, task_id: str, error_code: str, error_message: str) -> bool:
-        """
-        报告任务失败
-
-        Args:
-            task_id: 任务 ID
-            error_code: 错误码
-            error_message: 错误信息
-
-        Returns:
-            bool: 是否成功
-        """
-        url = f"{self.base_url}/render/v2/task/{task_id}/fail"
-
-        try:
-            resp = self.session.post(
-                url,
-                json={
-                    'workerId': self.worker_id,
-                    'errorCode': error_code,
-                    'errorMessage': error_message[:1000]  # 限制长度
-                },
-                timeout=10
-            )
-            if resp.status_code == 200:
-                logger.debug(f"[task:{task_id}] Failure reported")
-                return True
-            else:
-                logger.warning(f"[task:{task_id}] Report fail failed: {resp.status_code}")
-                return False
-        except Exception as e:
-            logger.error(f"[task:{task_id}] Report fail error: {e}")
-            return False
-
-    def get_upload_url(self, task_id: str, file_type: str, file_name: str = None) -> Optional[Dict[str, str]]:
-        """
-        获取上传 URL
-
-        Args:
-            task_id: 任务 ID
-            file_type: 文件类型（video/audio/ts/mp4）
-            file_name: 文件名（可选）
-
-        Returns:
-            Dict 包含 uploadUrl 和 accessUrl，失败返回 None
-        """
-        url = f"{self.base_url}/render/v2/task/{task_id}/uploadUrl"
-
-        payload = {'fileType': file_type}
-        if file_name:
-            payload['fileName'] = file_name
-
-        try:
-            resp = self.session.post(url, json=payload, timeout=10)
-            if resp.status_code == 200:
-                data = resp.json()
-                if data.get('code') == 200:
-                    return data.get('data')
-            logger.warning(f"[task:{task_id}] Get upload URL failed: {resp.status_code}")
-            return None
-        except Exception as e:
-            logger.error(f"[task:{task_id}] Get upload URL error: {e}")
-            return None
-
-    def extend_lease(self, task_id: str, extension: int = None) -> bool:
-        """
-        延长租约
-
-        Args:
-            task_id: 任务 ID
-            extension: 延长秒数（默认使用配置值）
-
-        Returns:
-            bool: 是否成功
-        """
-        if extension is None:
-            extension = self.config.lease_extension_duration
-
-        url = f"{self.base_url}/render/v2/task/{task_id}/extend-lease"
-
-        try:
-            resp = self.session.post(
-                url,
-                params={
-                    'workerId': self.worker_id,
-                    'extension': extension
-                },
-                timeout=10
-            )
-            if resp.status_code == 200:
-                logger.debug(f"[task:{task_id}] Lease extended by {extension}s")
-                return True
-            else:
-                logger.warning(f"[task:{task_id}] Extend lease failed: {resp.status_code}")
-                return False
-        except Exception as e:
-            logger.error(f"[task:{task_id}] Extend lease error: {e}")
-            return False
-
-    def get_task_info(self, task_id: str) -> Optional[Dict]:
-        """
-        获取任务详情
-
-        Args:
-            task_id: 任务 ID
-
-        Returns:
-            任务详情字典，失败返回 None
-        """
-        url = f"{self.base_url}/render/v2/task/{task_id}"
-
-        try:
-            resp = self.session.get(url, timeout=10)
-            if resp.status_code == 200:
-                data = resp.json()
-                if data.get('code') == 200:
-                    return data.get('data')
-            return None
-        except Exception as e:
-            logger.error(f"[task:{task_id}] Get task info error: {e}")
-            return None
-
-    def _get_ffmpeg_version(self) -> str:
-        """获取 FFmpeg 版本"""
-        if self._ffmpeg_version is not None:
-            return self._ffmpeg_version
-        try:
-            result = subprocess.run(
-                ['ffmpeg', '-version'],
-                capture_output=True,
-                text=True,
-                timeout=5
-            )
-            first_line = result.stdout.split('\n')[0]
-            if 'version' in first_line:
-                parts = first_line.split()
-                for i, part in enumerate(parts):
-                    if part == 'version' and i + 1 < len(parts):
-                        self._ffmpeg_version = parts[i + 1]
-                        return self._ffmpeg_version
-            self._ffmpeg_version = 'unknown'
-            return self._ffmpeg_version
-        except Exception:
-            self._ffmpeg_version = 'unknown'
-            return self._ffmpeg_version
-
-    def _get_codec_info(self) -> str:
-        """获取支持的编解码器信息"""
-        if self._codec_info is not None:
-            return self._codec_info
-        try:
-            result = subprocess.run(
-                ['ffmpeg', '-codecs'],
-                capture_output=True,
-                text=True,
-                timeout=5
-            )
-            # 检查常用编解码器
-            codecs = []
-            output = result.stdout
-            if 'libx264' in output:
-                codecs.append('libx264')
-            if 'libx265' in output or 'hevc' in output:
-                codecs.append('libx265')
-            if 'aac' in output:
-                codecs.append('aac')
-            if 'libfdk_aac' in output:
-                codecs.append('libfdk_aac')
-            self._codec_info = ', '.join(codecs) if codecs else 'unknown'
-            return self._codec_info
-        except Exception:
-            self._codec_info = 'unknown'
-            return self._codec_info
-
-    def _get_system_info(self) -> Dict[str, Any]:
-        """获取系统信息"""
-        try:
-            now = time.monotonic()
-            if (
-                self._system_info_cache
-                and now - self._system_info_cache_ts < self.SYSTEM_INFO_TTL_SECONDS
-            ):
-                return self._system_info_cache
-
-            import platform
-            import psutil
-
-            if self._hw_accel_info is None:
-                self._hw_accel_info = get_hw_accel_info_str()
-
-            if self._static_system_info is None:
-                self._static_system_info = {
-                    'os': platform.system(),
-                    'cpu': f"{psutil.cpu_count()} cores",
-                    'memory': f"{psutil.virtual_memory().total // (1024**3)}GB",
-                    'hwAccelConfig': self.config.hw_accel,  # 当前配置的硬件加速
-                    'hwAccelSupport': self._hw_accel_info,  # 系统支持的硬件加速
-                }
-
-            info = dict(self._static_system_info)
-            info.update({
-                'cpuUsage': f"{psutil.cpu_percent()}%",
-                'memoryAvailable': f"{psutil.virtual_memory().available // (1024**3)}GB",
-            })
-
-            # 尝试获取 GPU 信息
-            gpu_info = self._get_gpu_info()
-            if gpu_info:
-                info['gpu'] = gpu_info
-
-            self._system_info_cache = info
-            self._system_info_cache_ts = now
-            return info
-        except Exception:
-            return {}
-
-    def _get_gpu_info(self) -> Optional[str]:
-        """获取 GPU 信息"""
-        if self._gpu_info_checked:
-            return self._gpu_info
-
-        self._gpu_info_checked = True
-        try:
-            result = subprocess.run(
-                ['nvidia-smi', '--query-gpu=name', '--format=csv,noheader'],
-                capture_output=True,
-                text=True,
-                timeout=5
-            )
-            if result.returncode == 0:
-                gpu_name = result.stdout.strip().split('\n')[0]
-                self._gpu_info = gpu_name
-        except Exception:
-            self._gpu_info = None
-
-        return self._gpu_info
-
-    def close(self):
-        """关闭会话"""
-        self.session.close()

services/cache.py

@@ -1,513 +0,0 @@
-# -*- coding: utf-8 -*-
-"""
-素材缓存服务
-
-提供素材下载缓存功能，避免相同素材重复下载。
-"""
-
-import json
-import os
-import hashlib
-import logging
-import shutil
-import time
-import uuid
-from typing import Optional, Tuple
-from urllib.parse import urlparse, unquote
-
-import psutil
-
-from services import storage
-
-logger = logging.getLogger(__name__)
-
-
-def _extract_cache_key(url: str) -> str:
-    """
-    从 URL 提取缓存键
-
-    去除签名等查询参数，保留路径作为唯一标识。
-
-    Args:
-        url: 完整的素材 URL
-
-    Returns:
-        缓存键（URL 路径的 MD5 哈希）
-    """
-    parsed = urlparse(url)
-    # 使用 scheme + host + path 作为唯一标识（忽略签名等查询参数）
-    cache_key_source = f"{parsed.scheme}://{parsed.netloc}{unquote(parsed.path)}"
-    return hashlib.md5(cache_key_source.encode('utf-8')).hexdigest()
-
-
-def _get_file_extension(url: str) -> str:
-    """
-    从 URL 提取文件扩展名
-
-    Args:
-        url: 素材 URL
-
-    Returns:
-        文件扩展名（如 .mp4, .png），无法识别时返回空字符串
-    """
-    parsed = urlparse(url)
-    path = unquote(parsed.path)
-    _, ext = os.path.splitext(path)
-    return ext.lower() if ext else ''
-
-
-class MaterialCache:
-    """
-    素材缓存管理器
-
-    负责素材文件的缓存存储和检索。
-    """
-
-    LOCK_TIMEOUT_SEC = 30.0
-    LOCK_POLL_INTERVAL_SEC = 0.1
-    LOCK_STALE_SECONDS = 24 * 60 * 60
-
-    def __init__(self, cache_dir: str, enabled: bool = True, max_size_gb: float = 0):
-        """
-        初始化缓存管理器
-
-        Args:
-            cache_dir: 缓存目录路径
-            enabled: 是否启用缓存
-            max_size_gb: 最大缓存大小（GB），0 表示不限制
-        """
-        self.cache_dir = cache_dir
-        self.enabled = enabled
-        self.max_size_bytes = int(max_size_gb * 1024 * 1024 * 1024) if max_size_gb > 0 else 0
-
-        if self.enabled:
-            os.makedirs(self.cache_dir, exist_ok=True)
-            logger.info(f"Material cache initialized: {cache_dir}")
-
-    def get_cache_path(self, url: str) -> str:
-        """
-        获取素材的缓存文件路径
-
-        Args:
-            url: 素材 URL
-
-        Returns:
-            缓存文件的完整路径
-        """
-        cache_key = _extract_cache_key(url)
-        ext = _get_file_extension(url)
-        filename = f"{cache_key}{ext}"
-        return os.path.join(self.cache_dir, filename)
-
-    def _get_lock_path(self, cache_key: str) -> str:
-        """获取缓存锁文件路径"""
-        assert self.cache_dir
-        return os.path.join(self.cache_dir, f"{cache_key}.lock")
-
-    def _write_lock_metadata(self, lock_fd: int, lock_path: str) -> bool:
-        """写入锁元数据，失败则清理锁文件"""
-        try:
-            try:
-                process_start_time = psutil.Process(os.getpid()).create_time()
-            except Exception as e:
-                process_start_time = None
-                logger.warning(f"Cache lock process start time error: {e}")
-            metadata = {
-                'pid': os.getpid(),
-                'process_start_time': process_start_time,
-                'created_at': time.time()
-            }
-            with os.fdopen(lock_fd, 'w', encoding='utf-8') as lock_file:
-                json.dump(metadata, lock_file)
-            return True
-        except Exception as e:
-            try:
-                os.close(lock_fd)
-            except Exception:
-                pass
-            self._remove_lock_file(lock_path, f"write metadata failed: {e}")
-            return False
-
-    def _read_lock_metadata(self, lock_path: str) -> Optional[dict]:
-        """读取锁元数据，失败返回 None（兼容历史空锁文件）"""
-        try:
-            with open(lock_path, 'r', encoding='utf-8') as lock_file:
-                data = json.load(lock_file)
-            return data if isinstance(data, dict) else None
-        except Exception:
-            return None
-
-    def _is_process_alive(self, pid: int, expected_start_time: Optional[float]) -> bool:
-        """判断进程是否存活并校验启动时间（防止 PID 复用）"""
-        try:
-            process = psutil.Process(pid)
-            if expected_start_time is None:
-                return process.is_running()
-            actual_start_time = process.create_time()
-            return abs(actual_start_time - expected_start_time) < 1.0
-        except psutil.NoSuchProcess:
-            return False
-        except Exception as e:
-            logger.warning(f"Cache lock process check error: {e}")
-            return True
-
-    def _is_lock_stale(self, lock_path: str) -> bool:
-        """判断锁是否过期（进程已退出或超过最大存活时长）"""
-        if not os.path.exists(lock_path):
-            return False
-        now = time.time()
-        metadata = self._read_lock_metadata(lock_path)
-        if metadata:
-            created_at = metadata.get('created_at')
-            if isinstance(created_at, (int, float)) and now - created_at > self.LOCK_STALE_SECONDS:
-                return True
-            pid = metadata.get('pid')
-            pid_value = int(pid) if isinstance(pid, int) or (isinstance(pid, str) and pid.isdigit()) else None
-            expected_start_time = metadata.get('process_start_time')
-            expected_start_time_value = (
-                expected_start_time if isinstance(expected_start_time, (int, float)) else None
-            )
-            if pid_value is not None and not self._is_process_alive(pid_value, expected_start_time_value):
-                return True
-            return self._is_lock_stale_by_mtime(lock_path, now)
-        return self._is_lock_stale_by_mtime(lock_path, now)
-
-    def _is_lock_stale_by_mtime(self, lock_path: str, now: float) -> bool:
-        """基于文件时间判断锁是否过期"""
-        try:
-            mtime = os.path.getmtime(lock_path)
-            return now - mtime > self.LOCK_STALE_SECONDS
-        except Exception as e:
-            logger.warning(f"Cache lock stat error: {e}")
-            return False
-
-    def _remove_lock_file(self, lock_path: str, reason: str = "") -> bool:
-        """删除锁文件"""
-        try:
-            os.remove(lock_path)
-            if reason:
-                logger.info(f"Cache lock removed: {lock_path} ({reason})")
-            return True
-        except FileNotFoundError:
-            return True
-        except Exception as e:
-            logger.warning(f"Cache lock remove error: {e}")
-            return False
-
-    def _acquire_lock(self, cache_key: str) -> Optional[str]:
-        """获取缓存锁（跨进程安全）"""
-        if not self.enabled:
-            return None
-
-        lock_path = self._get_lock_path(cache_key)
-        deadline = time.monotonic() + self.LOCK_TIMEOUT_SEC
-
-        while True:
-            try:
-                fd = os.open(lock_path, os.O_CREAT | os.O_EXCL | os.O_WRONLY)
-                if not self._write_lock_metadata(fd, lock_path):
-                    return None
-                return lock_path
-            except FileExistsError:
-                if self._is_lock_stale(lock_path):
-                    removed = self._remove_lock_file(lock_path, "stale lock")
-                    if removed:
-                        continue
-                if time.monotonic() >= deadline:
-                    logger.warning(f"Cache lock timeout: {lock_path}")
-                    return None
-                time.sleep(self.LOCK_POLL_INTERVAL_SEC)
-            except Exception as e:
-                logger.warning(f"Cache lock error: {e}")
-                return None
-
-    def _release_lock(self, lock_path: Optional[str]) -> None:
-        """释放缓存锁"""
-        if not lock_path:
-            return
-        self._remove_lock_file(lock_path)
-
-    def is_cached(self, url: str) -> Tuple[bool, str]:
-        """
-        检查素材是否已缓存
-
-        Args:
-            url: 素材 URL
-
-        Returns:
-            (是否已缓存, 缓存文件路径)
-        """
-        if not self.enabled:
-            return False, ''
-
-        cache_path = self.get_cache_path(url)
-        exists = os.path.exists(cache_path) and os.path.getsize(cache_path) > 0
-        return exists, cache_path
-
-    def get_or_download(
-        self,
-        url: str,
-        dest: str,
-        timeout: int = 300,
-        max_retries: int = 5
-    ) -> bool:
-        """
-        从缓存获取素材，若未缓存则下载并缓存
-
-        Args:
-            url: 素材 URL
-            dest: 目标文件路径（任务工作目录中的路径）
-            timeout: 下载超时时间（秒）
-            max_retries: 最大重试次数
-
-        Returns:
-            是否成功
-        """
-        # 确保目标目录存在
-        dest_dir = os.path.dirname(dest)
-        if dest_dir:
-            os.makedirs(dest_dir, exist_ok=True)
-
-        # 缓存未启用时直接下载
-        if not self.enabled:
-            return storage.download_file(url, dest, max_retries=max_retries, timeout=timeout)
-
-        cache_key = _extract_cache_key(url)
-        lock_path = self._acquire_lock(cache_key)
-        if not lock_path:
-            logger.warning(f"Cache lock unavailable, downloading without cache: {url[:80]}...")
-            return storage.download_file(url, dest, max_retries=max_retries, timeout=timeout)
-
-        try:
-            cache_path = self.get_cache_path(url)
-            cached = os.path.exists(cache_path) and os.path.getsize(cache_path) > 0
-
-            if cached:
-                # 命中缓存，复制到目标路径
-                try:
-                    shutil.copy2(cache_path, dest)
-                    # 更新访问时间（用于 LRU 清理）
-                    os.utime(cache_path, None)
-                    file_size = os.path.getsize(dest)
-                    logger.info(f"Cache hit: {url[:80]}... -> {dest} ({file_size} bytes)")
-                    return True
-                except Exception as e:
-                    logger.warning(f"Failed to copy from cache: {e}, will re-download")
-                    # 缓存复制失败，删除可能损坏的缓存文件
-                    try:
-                        os.remove(cache_path)
-                    except Exception:
-                        pass
-
-            # 未命中缓存，下载到缓存目录
-            logger.debug(f"Cache miss: {url[:80]}...")
-
-            # 先下载到临时文件（唯一文件名，避免并发覆盖）
-            temp_cache_path = os.path.join(
-                self.cache_dir,
-                f"{cache_key}.{uuid.uuid4().hex}.downloading"
-            )
-            try:
-                if not storage.download_file(url, temp_cache_path, max_retries=max_retries, timeout=timeout):
-                    # 下载失败，清理临时文件
-                    if os.path.exists(temp_cache_path):
-                        os.remove(temp_cache_path)
-                    return False
-
-                if not os.path.exists(temp_cache_path) or os.path.getsize(temp_cache_path) <= 0:
-                    if os.path.exists(temp_cache_path):
-                        os.remove(temp_cache_path)
-                    return False
-
-                # 下载成功，原子替换缓存文件
-                os.replace(temp_cache_path, cache_path)
-
-                # 复制到目标路径
-                shutil.copy2(cache_path, dest)
-                file_size = os.path.getsize(dest)
-                logger.info(f"Downloaded and cached: {url[:80]}... ({file_size} bytes)")
-
-                # 检查是否需要清理缓存
-                if self.max_size_bytes > 0:
-                    self._cleanup_if_needed()
-
-                return True
-
-            except Exception as e:
-                logger.error(f"Cache download error: {e}")
-                # 清理临时文件
-                if os.path.exists(temp_cache_path):
-                    try:
-                        os.remove(temp_cache_path)
-                    except Exception:
-                        pass
-                return False
-        finally:
-            self._release_lock(lock_path)
-
-    def add_to_cache(self, url: str, source_path: str) -> bool:
-        """
-        将本地文件添加到缓存
-
-        Args:
-            url: 对应的 URL（用于生成缓存键）
-            source_path: 本地文件路径
-
-        Returns:
-            是否成功
-        """
-        if not self.enabled:
-            return False
-
-        if not os.path.exists(source_path):
-            logger.warning(f"Source file not found for cache: {source_path}")
-            return False
-
-        cache_key = _extract_cache_key(url)
-        lock_path = self._acquire_lock(cache_key)
-        if not lock_path:
-            logger.warning(f"Cache lock unavailable for adding: {url[:80]}...")
-            return False
-
-        try:
-            cache_path = self.get_cache_path(url)
-
-            # 先复制到临时文件
-            temp_cache_path = os.path.join(
-                self.cache_dir,
-                f"{cache_key}.{uuid.uuid4().hex}.adding"
-            )
-
-            shutil.copy2(source_path, temp_cache_path)
-
-            # 原子替换
-            os.replace(temp_cache_path, cache_path)
-
-            # 更新访问时间
-            os.utime(cache_path, None)
-
-            logger.info(f"Added to cache: {url[:80]}... <- {source_path}")
-
-            # 检查清理
-            if self.max_size_bytes > 0:
-                self._cleanup_if_needed()
-
-            return True
-
-        except Exception as e:
-            logger.error(f"Failed to add to cache: {e}")
-            if 'temp_cache_path' in locals() and os.path.exists(temp_cache_path):
-                try:
-                    os.remove(temp_cache_path)
-                except Exception:
-                    pass
-            return False
-        finally:
-            self._release_lock(lock_path)
-
-    def _cleanup_if_needed(self) -> None:
-        """
-        检查并清理缓存（LRU 策略）
-
-        当缓存大小超过限制时，删除最久未访问的文件。
-        """
-        if self.max_size_bytes <= 0:
-            return
-
-        try:
-            # 获取所有缓存文件及其信息
-            cache_files = []
-            total_size = 0
-
-            for filename in os.listdir(self.cache_dir):
-                if filename.endswith('.downloading') or filename.endswith('.lock'):
-                    continue
-                file_path = os.path.join(self.cache_dir, filename)
-                if os.path.isfile(file_path):
-                    stat = os.stat(file_path)
-                    cache_files.append({
-                        'path': file_path,
-                        'size': stat.st_size,
-                        'atime': stat.st_atime
-                    })
-                    total_size += stat.st_size
-
-            # 如果未超过限制，无需清理
-            if total_size <= self.max_size_bytes:
-                return
-
-            # 按访问时间排序（最久未访问的在前）
-            cache_files.sort(key=lambda x: x['atime'])
-
-            # 删除文件直到低于限制的 80%
-            target_size = int(self.max_size_bytes * 0.8)
-            deleted_count = 0
-
-            for file_info in cache_files:
-                if total_size <= target_size:
-                    break
-                # 从文件名提取 cache_key，检查是否有锁（说明正在被使用）
-                filename = os.path.basename(file_info['path'])
-                cache_key = os.path.splitext(filename)[0]
-                lock_path = self._get_lock_path(cache_key)
-                if os.path.exists(lock_path):
-                    if self._is_lock_stale(lock_path):
-                        self._remove_lock_file(lock_path, "cleanup stale lock")
-                    else:
-                        # 该文件正在被其他任务使用，跳过删除
-                        logger.debug(f"Cache cleanup: skipping locked file {filename}")
-                        continue
-                try:
-                    os.remove(file_info['path'])
-                    total_size -= file_info['size']
-                    deleted_count += 1
-                except Exception as e:
-                    logger.warning(f"Failed to delete cache file: {e}")
-
-            if deleted_count > 0:
-                logger.info(f"Cache cleanup: deleted {deleted_count} files, current size: {total_size / (1024*1024*1024):.2f} GB")
-
-        except Exception as e:
-            logger.warning(f"Cache cleanup error: {e}")
-
-    def clear(self) -> None:
-        """清空所有缓存"""
-        if not self.enabled:
-            return
-
-        try:
-            if os.path.exists(self.cache_dir):
-                shutil.rmtree(self.cache_dir)
-                os.makedirs(self.cache_dir, exist_ok=True)
-                logger.info("Cache cleared")
-        except Exception as e:
-            logger.error(f"Failed to clear cache: {e}")
-
-    def get_stats(self) -> dict:
-        """
-        获取缓存统计信息
-
-        Returns:
-            包含缓存统计的字典
-        """
-        if not self.enabled or not os.path.exists(self.cache_dir):
-            return {'enabled': False, 'file_count': 0, 'total_size_mb': 0}
-
-        file_count = 0
-        total_size = 0
-
-        for filename in os.listdir(self.cache_dir):
-            if filename.endswith('.downloading') or filename.endswith('.lock'):
-                continue
-            file_path = os.path.join(self.cache_dir, filename)
-            if os.path.isfile(file_path):
-                file_count += 1
-                total_size += os.path.getsize(file_path)
-
-        return {
-            'enabled': True,
-            'cache_dir': self.cache_dir,
-            'file_count': file_count,
-            'total_size_mb': round(total_size / (1024 * 1024), 2),
-            'max_size_gb': self.max_size_bytes / (1024 * 1024 * 1024) if self.max_size_bytes > 0 else 0
-        }

services/gpu_scheduler.py

@@ -1,164 +0,0 @@
-# -*- coding: utf-8 -*-
-"""
-GPU 调度器
-
-提供多 GPU 设备的轮询调度功能。
-"""
-
-import logging
-import threading
-from typing import List, Optional
-
-from domain.config import WorkerConfig
-from domain.gpu import GPUDevice
-from util.system import get_all_gpu_info, validate_gpu_device
-from constant import HW_ACCEL_CUDA, HW_ACCEL_QSV
-
-logger = logging.getLogger(__name__)
-
-
-class GPUScheduler:
-    """
-    GPU 调度器
-
-    实现多 GPU 设备的轮询（Round Robin）调度。
-    线程安全，支持并发任务执行。
-
-    使用方式：
-        scheduler = GPUScheduler(config)
-
-        # 在任务执行时
-        device_index = scheduler.acquire()
-        try:
-            # 执行任务
-            pass
-        finally:
-            scheduler.release(device_index)
-    """
-
-    def __init__(self, config: WorkerConfig):
-        """
-        初始化调度器
-
-        Args:
-            config: Worker 配置
-        """
-        self._config = config
-        self._devices: List[GPUDevice] = []
-        self._next_index: int = 0
-        self._lock = threading.Lock()
-        self._enabled = False
-
-        # 初始化设备列表
-        self._init_devices()
-
-    def _init_devices(self) -> None:
-        """初始化 GPU 设备列表"""
-        # 仅在启用硬件加速时才初始化
-        if self._config.hw_accel not in (HW_ACCEL_CUDA, HW_ACCEL_QSV):
-            logger.info("Hardware acceleration not enabled, GPU scheduler disabled")
-            return
-
-        configured_devices = self._config.gpu_devices
-
-        if configured_devices:
-            # 使用配置指定的设备
-            self._devices = self._validate_configured_devices(configured_devices)
-        else:
-            # 自动检测所有设备
-            self._devices = self._auto_detect_devices()
-
-        if self._devices:
-            self._enabled = True
-            device_info = ', '.join(str(d) for d in self._devices)
-            logger.info(f"GPU scheduler initialized with {len(self._devices)} device(s): {device_info}")
-        else:
-            logger.warning("No GPU devices available, scheduler disabled")
-
-    def _validate_configured_devices(self, indices: List[int]) -> List[GPUDevice]:
-        """
-        验证配置的设备列表
-
-        Args:
-            indices: 配置的设备索引列表
-
-        Returns:
-            验证通过的设备列表
-        """
-        devices = []
-        for index in indices:
-            if validate_gpu_device(index):
-                devices.append(GPUDevice(
-                    index=index,
-                    name=f"GPU-{index}",
-                    available=True
-                ))
-            else:
-                logger.warning(f"GPU device {index} is not available, skipping")
-        return devices
-
-    def _auto_detect_devices(self) -> List[GPUDevice]:
-        """
-        自动检测所有可用 GPU
-
-        Returns:
-            检测到的设备列表
-        """
-        all_devices = get_all_gpu_info()
-        # 过滤不可用设备
-        return [d for d in all_devices if d.available]
-
-    @property
-    def enabled(self) -> bool:
-        """调度器是否启用"""
-        return self._enabled
-
-    @property
-    def device_count(self) -> int:
-        """设备数量"""
-        return len(self._devices)
-
-    def acquire(self) -> Optional[int]:
-        """
-        获取下一个可用的 GPU 设备（轮询调度）
-
-        Returns:
-            GPU 设备索引，如果调度器未启用或无设备则返回 None
-        """
-        if not self._enabled or not self._devices:
-            return None
-
-        with self._lock:
-            device = self._devices[self._next_index]
-            self._next_index = (self._next_index + 1) % len(self._devices)
-            logger.debug(f"Acquired GPU device: {device.index}")
-            return device.index
-
-    def release(self, device_index: Optional[int]) -> None:
-        """
-        释放 GPU 设备
-
-        当前实现为无状态轮询，此方法仅用于日志记录。
-
-        Args:
-            device_index: 设备索引
-        """
-        if device_index is not None:
-            logger.debug(f"Released GPU device: {device_index}")
-
-    def get_status(self) -> dict:
-        """
-        获取调度器状态信息
-
-        Returns:
-            状态字典
-        """
-        return {
-            'enabled': self._enabled,
-            'device_count': len(self._devices),
-            'devices': [
-                {'index': d.index, 'name': d.name, 'available': d.available}
-                for d in self._devices
-            ],
-            'hw_accel': self._config.hw_accel,
-        }

services/lease_service.py

@@ -1,110 +0,0 @@
-# -*- coding: utf-8 -*-
-"""
-租约续期服务
-
-后台线程定期为正在执行的任务续期租约。
-"""
-
-import logging
-import threading
-import time
-from typing import TYPE_CHECKING
-
-if TYPE_CHECKING:
-    from services.api_client import APIClientV2
-
-logger = logging.getLogger(__name__)
-
-
-class LeaseService:
-    """
-    租约续期服务
-
-    在后台线程中定期调用 API 延长任务租约，
-    防止长时间任务因租约过期被回收。
-    """
-
-    def __init__(
-        self,
-        api_client: 'APIClientV2',
-        task_id: str,
-        interval: int = 60,
-        extension: int = 300
-    ):
-        """
-        初始化租约服务
-
-        Args:
-            api_client: API 客户端
-            task_id: 任务 ID
-            interval: 续期间隔（秒），默认 60 秒
-            extension: 每次续期时长（秒），默认 300 秒
-        """
-        self.api_client = api_client
-        self.task_id = task_id
-        self.interval = interval
-        self.extension = extension
-        self.running = False
-        self.thread: threading.Thread = None
-        self._stop_event = threading.Event()
-
-    def start(self):
-        """启动租约续期线程"""
-        if self.running:
-            logger.warning(f"[task:{self.task_id}] Lease service already running")
-            return
-
-        self.running = True
-        self._stop_event.clear()
-        self.thread = threading.Thread(
-            target=self._run,
-            name=f"LeaseService-{self.task_id}",
-            daemon=True
-        )
-        self.thread.start()
-        logger.debug(f"[task:{self.task_id}] Lease service started (interval={self.interval}s)")
-
-    def stop(self):
-        """停止租约续期线程"""
-        if not self.running:
-            return
-
-        self.running = False
-        self._stop_event.set()
-
-        if self.thread and self.thread.is_alive():
-            self.thread.join(timeout=5)
-
-        logger.debug(f"[task:{self.task_id}] Lease service stopped")
-
-    def _run(self):
-        """续期线程主循环"""
-        while self.running:
-            # 等待指定间隔或收到停止信号
-            if self._stop_event.wait(timeout=self.interval):
-                # 收到停止信号
-                break
-
-            if self.running:
-                self._extend_lease()
-
-    def _extend_lease(self):
-        """执行租约续期"""
-        try:
-            success = self.api_client.extend_lease(self.task_id, self.extension)
-            if success:
-                logger.debug(f"[task:{self.task_id}] Lease extended by {self.extension}s")
-            else:
-                logger.warning(f"[task:{self.task_id}] Failed to extend lease")
-        except Exception as e:
-            logger.warning(f"[task:{self.task_id}] Lease extension error: {e}")
-
-    def __enter__(self):
-        """上下文管理器入口"""
-        self.start()
-        return self
-
-    def __exit__(self, exc_type, exc_val, exc_tb):
-        """上下文管理器出口"""
-        self.stop()
-        return False

services/render_service.py

@@ -0,0 +1,214 @@
+import subprocess
+import os
+import logging
+from abc import ABC, abstractmethod
+from typing import Union
+
+from opentelemetry.trace import Status, StatusCode
+
+from entity.render_task import RenderTask
+from entity.ffmpeg_command_builder import FFmpegCommandBuilder
+from entity.ffmpeg import FfmpegTask
+from util.exceptions import RenderError, FFmpegError
+from util.ffmpeg import (
+    probe_video_info,
+    fade_out_audio,
+    handle_ffmpeg_output,
+    subprocess_args,
+)
+from telemetry import get_tracer
+
+logger = logging.getLogger(__name__)
+
+# 向后兼容层 - 处理旧的FfmpegTask对象
+
+
+class RenderService(ABC):
+    """渲染服务抽象接口"""
+
+    @abstractmethod
+    def render(self, task: Union[RenderTask, FfmpegTask]) -> bool:
+        """
+        执行渲染任务
+
+        Args:
+            task: 渲染任务
+
+        Returns:
+            bool: 渲染是否成功
+        """
+        pass
+
+    @abstractmethod
+    def get_video_info(self, file_path: str) -> tuple[int, int, float]:
+        """
+        获取视频信息
+
+        Args:
+            file_path: 视频文件路径
+
+        Returns:
+            tuple: (width, height, duration)
+        """
+        pass
+
+    @abstractmethod
+    def fade_out_audio(
+        self, file_path: str, duration: float, fade_seconds: float = 2.0
+    ) -> str:
+        """
+        音频淡出处理
+
+        Args:
+            file_path: 音频文件路径
+            duration: 音频总时长
+            fade_seconds: 淡出时长
+
+        Returns:
+            str: 处理后的文件路径
+        """
+        pass
+
+
+class DefaultRenderService(RenderService):
+    """默认渲染服务实现"""
+
+    def render(self, task: Union[RenderTask, FfmpegTask]) -> bool:
+        """执行渲染任务"""
+        # 兼容旧的FfmpegTask
+        if hasattr(task, "get_ffmpeg_args"):  # 这是FfmpegTask
+            # 使用旧的方式执行
+            return self._render_legacy_ffmpeg_task(task)
+
+        tracer = get_tracer(__name__)
+        with tracer.start_as_current_span("render_task") as span:
+            try:
+                # 验证任务
+                task.validate()
+                span.set_attribute("task.type", task.task_type.value)
+                span.set_attribute("task.input_files", len(task.input_files))
+                span.set_attribute("task.output_file", task.output_file)
+
+                # 检查是否需要处理
+                if not task.need_processing():
+                    if len(task.input_files) == 1:
+                        task.output_file = task.input_files[0]
+                    span.set_status(Status(StatusCode.OK))
+                    return True
+
+                # 构建FFmpeg命令
+                builder = FFmpegCommandBuilder(task)
+                ffmpeg_args = builder.build_command()
+
+                if not ffmpeg_args:
+                    # 不需要处理，直接返回
+                    if len(task.input_files) == 1:
+                        task.output_file = task.input_files[0]
+                    span.set_status(Status(StatusCode.OK))
+                    return True
+
+                # 执行FFmpeg命令
+                return self._execute_ffmpeg(ffmpeg_args, span)
+
+            except Exception as e:
+                span.set_status(Status(StatusCode.ERROR))
+                logger.error(f"Render failed: {e}", exc_info=True)
+                raise RenderError(f"Render failed: {e}") from e
+
+    def _execute_ffmpeg(self, args: list[str], span) -> bool:
+        """执行FFmpeg命令"""
+        span.set_attribute("ffmpeg.args", " ".join(args))
+        logger.info("Executing FFmpeg: %s", " ".join(args))
+
+        try:
+            # 执行FFmpeg进程 (使用构建器已经包含的参数)
+            process = subprocess.run(
+                args, stderr=subprocess.PIPE, **subprocess_args(True)
+            )
+
+            span.set_attribute("ffmpeg.return_code", process.returncode)
+
+            # 处理输出
+            if process.stdout:
+                output = handle_ffmpeg_output(process.stdout)
+                span.set_attribute("ffmpeg.output", output)
+                logger.info("FFmpeg output: %s", output)
+
+            # 检查返回码
+            if process.returncode != 0:
+                error_msg = (
+                    process.stderr.decode() if process.stderr else "Unknown error"
+                )
+                span.set_attribute("ffmpeg.error", error_msg)
+                span.set_status(Status(StatusCode.ERROR))
+                logger.error(
+                    "FFmpeg failed with return code %d: %s",
+                    process.returncode,
+                    error_msg,
+                )
+                raise FFmpegError(
+                    "FFmpeg execution failed",
+                    command=args,
+                    return_code=process.returncode,
+                    stderr=error_msg,
+                )
+
+            # 检查输出文件
+            output_file = args[-1]  # 输出文件总是最后一个参数
+            if not os.path.exists(output_file):
+                span.set_status(Status(StatusCode.ERROR))
+                raise RenderError(f"Output file not created: {output_file}")
+
+            # 检查文件大小
+            file_size = os.path.getsize(output_file)
+            span.set_attribute("output.file_size", file_size)
+
+            if file_size < 4096:  # 文件过小
+                span.set_status(Status(StatusCode.ERROR))
+                raise RenderError(f"Output file too small: {file_size} bytes")
+
+            span.set_status(Status(StatusCode.OK))
+            logger.info("FFmpeg execution completed successfully")
+            return True
+
+        except subprocess.SubprocessError as e:
+            span.set_status(Status(StatusCode.ERROR))
+            logger.error("Subprocess error: %s", e)
+            raise FFmpegError(f"Subprocess error: {e}") from e
+
+    def get_video_info(self, file_path: str) -> tuple[int, int, float]:
+        """获取视频信息"""
+        return probe_video_info(file_path)
+
+    def fade_out_audio(
+        self, file_path: str, duration: float, fade_seconds: float = 2.0
+    ) -> str:
+        """音频淡出处理"""
+        return fade_out_audio(file_path, duration, fade_seconds)
+
+    def _render_legacy_ffmpeg_task(self, ffmpeg_task) -> bool:
+        """兼容处理旧的FfmpegTask"""
+        tracer = get_tracer(__name__)
+        with tracer.start_as_current_span("render_legacy_ffmpeg_task") as span:
+            try:
+                # 处理依赖任务
+                for sub_task in ffmpeg_task.analyze_input_render_tasks():
+                    if not self.render(sub_task):
+                        span.set_status(Status(StatusCode.ERROR))
+                        return False
+
+                # 获取FFmpeg参数
+                ffmpeg_args = ffmpeg_task.get_ffmpeg_args()
+
+                if not ffmpeg_args:
+                    # 不需要处理，直接返回
+                    span.set_status(Status(StatusCode.OK))
+                    return True
+
+                # 执行FFmpeg命令
+                return self._execute_ffmpeg(ffmpeg_args, span)
+
+            except Exception as e:
+                span.set_status(Status(StatusCode.ERROR))
+                logger.error(f"Legacy FFmpeg task render failed: {e}", exc_info=True)
+                raise RenderError(f"Legacy render failed: {e}") from e

services/service_container.py

@@ -0,0 +1,139 @@
+"""
+服务容器模块 - 提供线程安全的服务实例管理
+"""
+
+import threading
+from typing import Dict, Type, TypeVar, Optional, TYPE_CHECKING
+import logging
+
+if TYPE_CHECKING:
+    from .render_service import RenderService
+    from .template_service import TemplateService
+    from .task_service import TaskService
+
+logger = logging.getLogger(__name__)
+
+T = TypeVar("T")
+
+
+class ServiceContainer:
+    """线程安全的服务容器，实现依赖注入和单例管理"""
+
+    def __init__(self):
+        self._services: Dict[Type, object] = {}
+        self._factories: Dict[Type, callable] = {}
+        self._lock = threading.RLock()
+
+    def register_singleton(self, service_type: Type[T], factory: callable) -> None:
+        """注册单例服务工厂"""
+        with self._lock:
+            self._factories[service_type] = factory
+            logger.debug(f"Registered singleton factory for {service_type.__name__}")
+
+    def get_service(self, service_type: Type[T]) -> T:
+        """获取服务实例（懒加载单例）"""
+        with self._lock:
+            # 检查是否已存在实例
+            if service_type in self._services:
+                return self._services[service_type]
+
+            # 检查是否有工厂方法
+            if service_type not in self._factories:
+                raise ValueError(
+                    f"No factory registered for service type: {service_type}"
+                )
+
+            # 创建新实例
+            factory = self._factories[service_type]
+            try:
+                instance = factory()
+                self._services[service_type] = instance
+                logger.debug(f"Created new instance of {service_type.__name__}")
+                return instance
+            except Exception as e:
+                logger.error(
+                    f"Failed to create instance of {service_type.__name__}: {e}"
+                )
+                raise
+
+    def has_service(self, service_type: Type[T]) -> bool:
+        """检查是否有服务注册"""
+        with self._lock:
+            return service_type in self._factories
+
+    def clear_cache(self, service_type: Optional[Type[T]] = None) -> None:
+        """清理服务缓存"""
+        with self._lock:
+            if service_type:
+                self._services.pop(service_type, None)
+                logger.debug(f"Cleared cache for {service_type.__name__}")
+            else:
+                self._services.clear()
+                logger.debug("Cleared all service cache")
+
+
+# 全局服务容器实例
+_container: Optional[ServiceContainer] = None
+_container_lock = threading.Lock()
+
+
+def get_container() -> ServiceContainer:
+    """获取全局服务容器实例"""
+    global _container
+    if _container is None:
+        with _container_lock:
+            if _container is None:
+                _container = ServiceContainer()
+    return _container
+
+
+def register_default_services():
+    """注册默认的服务实现"""
+    from .render_service import DefaultRenderService, RenderService
+    from .template_service import DefaultTemplateService, TemplateService
+    from .task_service import DefaultTaskService, TaskService
+
+    container = get_container()
+
+    # 注册渲染服务
+    container.register_singleton(RenderService, lambda: DefaultRenderService())
+
+    # 注册模板服务
+    def create_template_service():
+        service = DefaultTemplateService()
+        service.load_local_templates()
+        return service
+
+    container.register_singleton(TemplateService, create_template_service)
+
+    # 注册任务服务（依赖其他服务）
+    def create_task_service():
+        render_service = container.get_service(RenderService)
+        template_service = container.get_service(TemplateService)
+        return DefaultTaskService(render_service, template_service)
+
+    container.register_singleton(TaskService, create_task_service)
+
+    logger.info("Default services registered successfully")
+
+
+# 便捷函数
+def get_render_service() -> "RenderService":
+    """获取渲染服务实例"""
+    from .render_service import RenderService
+
+    return get_container().get_service(RenderService)
+
+
+def get_template_service() -> "TemplateService":
+    """获取模板服务实例"""
+    from .template_service import TemplateService
+
+    return get_container().get_service(TemplateService)
+
+
+def get_task_service() -> "TaskService":
+    """获取任务服务实例"""
+    from .task_service import TaskService
+
+    return get_container().get_service(TaskService)

services/storage.py

@@ -1,239 +0,0 @@
-# -*- coding: utf-8 -*-
-"""
-存储服务
-
-提供文件上传/下载功能，支持 OSS 签名 URL 和 HTTP_REPLACE_MAP 环境变量。
-"""
-
-import os
-import logging
-import subprocess
-from typing import Optional
-from urllib.parse import unquote
-
-import requests
-
-logger = logging.getLogger(__name__)
-
-
-# 文件扩展名到 Content-Type 的映射
-_CONTENT_TYPE_MAP = {
-    '.mp4': 'video/mp4',
-    '.aac': 'audio/aac',
-    '.ts': 'video/mp2t',
-    '.m4a': 'audio/mp4',
-}
-
-
-def _get_content_type(file_path: str) -> str:
-    """
-    根据文件扩展名获取 Content-Type
-
-    Args:
-        file_path: 文件路径
-
-    Returns:
-        Content-Type 字符串
-    """
-    ext = os.path.splitext(file_path)[1].lower()
-    return _CONTENT_TYPE_MAP.get(ext, 'application/octet-stream')
-
-
-def _apply_http_replace_map(url: str) -> str:
-    """
-    应用 HTTP_REPLACE_MAP 环境变量替换 URL
-
-    Args:
-        url: 原始 URL
-
-    Returns:
-        替换后的 URL
-    """
-    replace_map = os.getenv("HTTP_REPLACE_MAP", "")
-    if not replace_map:
-        return url
-
-    new_url = url
-    replace_list = [i.split("|", 1) for i in replace_map.split(",") if "|" in i]
-    for src, dst in replace_list:
-        new_url = new_url.replace(src, dst)
-
-    if new_url != url:
-        logger.debug(f"HTTP_REPLACE_MAP: {url} -> {new_url}")
-
-    return new_url
-
-
-def upload_file(url: str, file_path: str, max_retries: int = 5, timeout: int = 60) -> bool:
-    """
-    使用签名 URL 上传文件到 OSS
-
-    Args:
-        url: 签名 URL
-        file_path: 本地文件路径
-        max_retries: 最大重试次数
-        timeout: 超时时间（秒）
-
-    Returns:
-        是否成功
-    """
-    if not os.path.exists(file_path):
-        logger.error(f"File not found: {file_path}")
-        return False
-
-    file_size = os.path.getsize(file_path)
-    logger.info(f"Uploading: {file_path} ({file_size} bytes)")
-
-    # 检查是否使用 rclone 上传
-    if os.getenv("UPLOAD_METHOD") == "rclone":
-        logger.info(f"Uploading to: {url}")
-        result = _upload_with_rclone(url, file_path)
-        if result:
-            return True
-        # rclone 失败时回退到 HTTP
-
-    # 应用 HTTP_REPLACE_MAP 替换 URL
-    http_url = _apply_http_replace_map(url)
-    content_type = _get_content_type(file_path)
-    logger.info(f"Uploading to: {http_url} (Content-Type: {content_type})")
-
-    retries = 0
-    while retries < max_retries:
-        try:
-            with open(file_path, 'rb') as f:
-                with requests.put(
-                    http_url,
-                    data=f,
-                    stream=True,
-                    timeout=timeout,
-                    headers={"Content-Type": content_type}
-                ) as response:
-                    response.raise_for_status()
-                    logger.info(f"Upload succeeded: {file_path}")
-                    return True
-
-        except requests.exceptions.Timeout:
-            retries += 1
-            logger.warning(f"Upload timed out. Retrying {retries}/{max_retries}...")
-        except requests.exceptions.RequestException as e:
-            retries += 1
-            logger.warning(f"Upload failed ({e}). Retrying {retries}/{max_retries}...")
-
-    logger.error(f"Upload failed after {max_retries} retries: {file_path}")
-    return False
-
-
-def _upload_with_rclone(url: str, file_path: str) -> bool:
-    """
-    使用 rclone 上传文件
-
-    Args:
-        url: 目标 URL
-        file_path: 本地文件路径
-
-    Returns:
-        是否成功
-    """
-    replace_map = os.getenv("RCLONE_REPLACE_MAP", "")
-    if not replace_map:
-        return False
-
-    config_file = os.getenv("RCLONE_CONFIG_FILE", "")
-
-    # 替换 URL
-    new_url = url
-    replace_list = [i.split("|", 1) for i in replace_map.split(",") if "|" in i]
-    for src, dst in replace_list:
-        new_url = new_url.replace(src, dst)
-    new_url = new_url.split("?", 1)[0]  # 移除查询参数
-    new_url = unquote(new_url)  # 解码 URL 编码的字符（如 %2F -> /）
-
-    if new_url == url:
-        return False
-
-    cmd = [
-        "rclone",
-        "copyto",
-        "--no-check-dest",
-        "--ignore-existing",
-        "--multi-thread-chunk-size",
-        "8M",
-        "--multi-thread-streams",
-        "8",
-    ]
-    if config_file:
-        cmd.extend(["--config", config_file])
-    cmd.extend([file_path, new_url])
-
-    logger.debug(f"rclone command: {' '.join(cmd)}")
-
-    result = subprocess.run(cmd, capture_output=True, text=True)
-    if result.returncode == 0:
-        logger.info(f"rclone upload succeeded: {file_path}")
-        return True
-
-    stderr = (result.stderr or '').strip()
-    stderr = stderr[:500] if stderr else ""
-    logger.warning(f"rclone upload failed (code={result.returncode}): {file_path} {stderr}")
-    return False
-
-
-def download_file(
-    url: str,
-    file_path: str,
-    max_retries: int = 5,
-    timeout: int = 30,
-    skip_if_exist: bool = False
-) -> bool:
-    """
-    使用签名 URL 下载文件
-
-    Args:
-        url: 签名 URL
-        file_path: 本地文件路径
-        max_retries: 最大重试次数
-        timeout: 超时时间（秒）
-        skip_if_exist: 如果文件存在则跳过
-
-    Returns:
-        是否成功
-    """
-    # 如果文件已存在且跳过
-    if skip_if_exist and os.path.exists(file_path):
-        logger.debug(f"File exists, skipping download: {file_path}")
-        return True
-
-    logger.info(f"Downloading: {url}")
-
-    # 确保目标目录存在
-    file_dir = os.path.dirname(file_path)
-    if file_dir:
-        os.makedirs(file_dir, exist_ok=True)
-
-    # 应用 HTTP_REPLACE_MAP 替换 URL
-    http_url = _apply_http_replace_map(url)
-
-    retries = 0
-    while retries < max_retries:
-        try:
-            with requests.get(http_url, timeout=timeout, stream=True) as response:
-                response.raise_for_status()
-
-                with open(file_path, 'wb') as f:
-                    for chunk in response.iter_content(chunk_size=8192):
-                        if chunk:
-                            f.write(chunk)
-
-            file_size = os.path.getsize(file_path)
-            logger.info(f"Download succeeded: {file_path} ({file_size} bytes)")
-            return True
-
-        except requests.exceptions.Timeout:
-            retries += 1
-            logger.warning(f"Download timed out. Retrying {retries}/{max_retries}...")
-        except requests.exceptions.RequestException as e:
-            retries += 1
-            logger.warning(f"Download failed ({e}). Retrying {retries}/{max_retries}...")
-
-    logger.error(f"Download failed after {max_retries} retries: {url}")
-    return False

services/task_executor.py

@@ -1,278 +0,0 @@
-# -*- coding: utf-8 -*-
-"""
-任务执行器
-
-管理任务的并发执行，协调处理器、租约服务等组件。
-"""
-
-import logging
-import threading
-from concurrent.futures import ThreadPoolExecutor, Future
-from typing import Dict, Optional, TYPE_CHECKING
-
-from domain.task import Task, TaskType
-from domain.result import TaskResult, ErrorCode
-
-# 需要 GPU 加速的任务类型
-GPU_REQUIRED_TASK_TYPES = {
-    TaskType.RENDER_SEGMENT_VIDEO,
-    TaskType.COMPOSE_TRANSITION,
-}
-from domain.config import WorkerConfig
-from core.handler import TaskHandler
-from services.lease_service import LeaseService
-from services.gpu_scheduler import GPUScheduler
-
-if TYPE_CHECKING:
-    from services.api_client import APIClientV2
-
-logger = logging.getLogger(__name__)
-
-
-class TaskExecutor:
-    """
-    任务执行器
-
-    负责任务的并发调度和执行，包括：
-    - 注册和管理任务处理器
-    - 维护任务执行状态
-    - 协调租约续期
-    - 上报执行结果
-    """
-
-    def __init__(self, config: WorkerConfig, api_client: 'APIClientV2'):
-        """
-        初始化任务执行器
-
-        Args:
-            config: Worker 配置
-            api_client: API 客户端
-        """
-        self.config = config
-        self.api_client = api_client
-
-        # 任务处理器注册表
-        self.handlers: Dict[TaskType, TaskHandler] = {}
-
-        # 当前任务跟踪
-        self.current_tasks: Dict[str, Task] = {}
-        self.current_futures: Dict[str, Future] = {}
-
-        # 线程池
-        self.executor = ThreadPoolExecutor(
-            max_workers=config.max_concurrency,
-            thread_name_prefix="TaskWorker"
-        )
-
-        # 线程安全锁
-        self.lock = threading.Lock()
-
-        # GPU 调度器（如果启用硬件加速）
-        self.gpu_scheduler = GPUScheduler(config)
-
-        if self.gpu_scheduler.enabled:
-            logger.info(f"GPU scheduler enabled with {self.gpu_scheduler.device_count} device(s)")
-
-        # 注册处理器
-        self._register_handlers()
-
-    def _register_handlers(self):
-        """注册所有任务处理器"""
-        # 延迟导入以避免循环依赖
-        from handlers.render_video import RenderSegmentVideoHandler
-        from handlers.compose_transition import ComposeTransitionHandler
-        from handlers.prepare_audio import PrepareJobAudioHandler
-        from handlers.package_ts import PackageSegmentTsHandler
-        from handlers.finalize_mp4 import FinalizeMp4Handler
-
-        handlers = [
-            RenderSegmentVideoHandler(self.config, self.api_client),
-            ComposeTransitionHandler(self.config, self.api_client),
-            PrepareJobAudioHandler(self.config, self.api_client),
-            PackageSegmentTsHandler(self.config, self.api_client),
-            FinalizeMp4Handler(self.config, self.api_client),
-        ]
-
-        for handler in handlers:
-            task_type = handler.get_supported_type()
-            self.handlers[task_type] = handler
-            logger.debug(f"Registered handler for {task_type.value}")
-
-    def get_current_task_ids(self) -> list:
-        """
-        获取当前正在执行的任务 ID 列表
-
-        Returns:
-            任务 ID 列表
-        """
-        with self.lock:
-            return list(self.current_tasks.keys())
-
-    def get_current_task_count(self) -> int:
-        """
-        获取当前正在执行的任务数量
-
-        Returns:
-            任务数量
-        """
-        with self.lock:
-            return len(self.current_tasks)
-
-    def can_accept_task(self) -> bool:
-        """
-        检查是否可以接受新任务
-
-        Returns:
-            是否可以接受
-        """
-        return self.get_current_task_count() < self.config.max_concurrency
-
-    def submit_task(self, task: Task) -> bool:
-        """
-        提交任务到线程池
-
-        Args:
-            task: 任务实体
-
-        Returns:
-            是否提交成功
-        """
-        with self.lock:
-            # 检查任务是否已在执行
-            if task.task_id in self.current_tasks:
-                logger.warning(f"[task:{task.task_id}] Task already running, skipping")
-                return False
-
-            # 检查并发上限
-            if len(self.current_tasks) >= self.config.max_concurrency:
-                logger.info(
-                    f"[task:{task.task_id}] Max concurrency reached "
-                    f"({self.config.max_concurrency}), rejecting task"
-                )
-                return False
-
-            # 检查是否有对应的处理器
-            if task.task_type not in self.handlers:
-                logger.error(f"[task:{task.task_id}] No handler for type: {task.task_type.value}")
-                return False
-
-            # 记录任务
-            self.current_tasks[task.task_id] = task
-
-            # 提交到线程池
-            future = self.executor.submit(self._process_task, task)
-            self.current_futures[task.task_id] = future
-
-            logger.info(f"[task:{task.task_id}] Submitted ({task.task_type.value})")
-            return True
-
-    def _process_task(self, task: Task):
-        """
-        处理单个任务（在线程池中执行）
-
-        Args:
-            task: 任务实体
-        """
-        task_id = task.task_id
-        logger.info(f"[task:{task_id}] Starting {task.task_type.value}")
-
-        # 启动租约续期服务
-        lease_service = LeaseService(
-            self.api_client,
-            task_id,
-            interval=self.config.lease_extension_threshold,
-            extension=self.config.lease_extension_duration
-        )
-        lease_service.start()
-
-        # 获取 GPU 设备（仅对需要 GPU 的任务类型）
-        device_index = None
-        needs_gpu = task.task_type in GPU_REQUIRED_TASK_TYPES
-        if needs_gpu and self.gpu_scheduler.enabled:
-            device_index = self.gpu_scheduler.acquire()
-            if device_index is not None:
-                logger.info(f"[task:{task_id}] Assigned to GPU device {device_index}")
-
-        # 获取处理器（需要在设置 GPU 设备前获取）
-        handler = self.handlers.get(task.task_type)
-
-        try:
-            # 报告任务开始
-            self.api_client.report_start(task_id)
-
-            if not handler:
-                raise ValueError(f"No handler for task type: {task.task_type}")
-
-            # 设置 GPU 设备（线程本地存储）
-            if device_index is not None:
-                handler.set_gpu_device(device_index)
-
-            # 执行前钩子
-            handler.before_handle(task)
-
-            # 执行任务
-            result = handler.handle(task)
-
-            # 执行后钩子
-            handler.after_handle(task, result)
-
-            # 上报结果
-            if result.success:
-                self.api_client.report_success(task_id, result.data)
-                logger.info(f"[task:{task_id}] Completed successfully")
-            else:
-                error_code = result.error_code.value if result.error_code else 'E_UNKNOWN'
-                self.api_client.report_fail(task_id, error_code, result.error_message or '')
-                logger.error(f"[task:{task_id}] Failed: {result.error_message}")
-
-        except Exception as e:
-            logger.error(f"[task:{task_id}] Exception: {e}", exc_info=True)
-            self.api_client.report_fail(task_id, 'E_UNKNOWN', str(e))
-
-        finally:
-            # 清除 GPU 设备设置
-            if handler:
-                handler.clear_gpu_device()
-
-            # 释放 GPU 设备（仅当实际分配了设备时）
-            if device_index is not None:
-                self.gpu_scheduler.release(device_index)
-
-            # 停止租约续期
-            lease_service.stop()
-
-            # 从当前任务中移除
-            with self.lock:
-                self.current_tasks.pop(task_id, None)
-                self.current_futures.pop(task_id, None)
-
-    def shutdown(self, wait: bool = True):
-        """
-        关闭执行器
-
-        Args:
-            wait: 是否等待所有任务完成
-        """
-        logger.info("Shutting down task executor...")
-
-        # 关闭线程池
-        self.executor.shutdown(wait=wait)
-
-        # 清理状态
-        with self.lock:
-            self.current_tasks.clear()
-            self.current_futures.clear()
-
-        logger.info("Task executor shutdown complete")
-
-    def get_handler(self, task_type: TaskType) -> Optional[TaskHandler]:
-        """
-        获取指定类型的处理器
-
-        Args:
-            task_type: 任务类型
-
-        Returns:
-            处理器实例，不存在则返回 None
-        """
-        return self.handlers.get(task_type)

services/task_service.py

@@ -0,0 +1,357 @@
+import logging
+import os
+from abc import ABC, abstractmethod
+from concurrent.futures import ThreadPoolExecutor
+from typing import Dict, Any, Optional
+
+from opentelemetry.trace import Status, StatusCode
+
+from entity.render_task import RenderTask
+from services.render_service import RenderService
+from services.template_service import TemplateService
+from util.exceptions import TaskError, TaskValidationError
+from util import api, oss
+from util.json_utils import safe_json_loads
+from telemetry import get_tracer
+
+logger = logging.getLogger(__name__)
+
+
+class TaskService(ABC):
+    """任务服务抽象接口"""
+
+    @abstractmethod
+    def process_task(self, task_info: Dict[str, Any]) -> bool:
+        """
+        处理任务
+
+        Args:
+            task_info: 任务信息
+
+        Returns:
+            bool: 处理是否成功
+        """
+        pass
+
+    @abstractmethod
+    def create_render_task(
+        self, task_info: Dict[str, Any], template_info: Dict[str, Any]
+    ) -> RenderTask:
+        """
+        创建渲染任务
+
+        Args:
+            task_info: 任务信息
+            template_info: 模板信息
+
+        Returns:
+            RenderTask: 渲染任务对象
+        """
+        pass
+
+
+class DefaultTaskService(TaskService):
+    """默认任务服务实现"""
+
+    def __init__(
+        self, render_service: RenderService, template_service: TemplateService
+    ):
+        self.render_service = render_service
+        self.template_service = template_service
+
+    def process_task(self, task_info: Dict[str, Any]) -> bool:
+        """处理任务"""
+        tracer = get_tracer(__name__)
+        with tracer.start_as_current_span("process_task") as span:
+            try:
+                # 标准化任务信息
+                task_info = api.normalize_task(task_info)
+                span.set_attribute("task.id", task_info.get("id", "unknown"))
+                span.set_attribute(
+                    "task.template_id", task_info.get("templateId", "unknown")
+                )
+
+                # 获取模板信息
+                template_id = task_info.get("templateId")
+                template_info = self.template_service.get_template(template_id)
+                if not template_info:
+                    raise TaskError(f"Template not found: {template_id}")
+
+                # 报告任务开始
+                api.report_task_start(task_info)
+
+                # 创建渲染任务
+                render_task = self.create_render_task(task_info, template_info)
+
+                # 执行渲染
+                success = self.render_service.render(render_task)
+                if not success:
+                    span.set_status(Status(StatusCode.ERROR))
+                    api.report_task_failed(task_info, "Render failed")
+                    return False
+
+                # 获取视频信息
+                width, height, duration = self.render_service.get_video_info(
+                    render_task.output_file
+                )
+                span.set_attribute("video.width", width)
+                span.set_attribute("video.height", height)
+                span.set_attribute("video.duration", duration)
+
+                # 音频淡出
+                new_file = self.render_service.fade_out_audio(
+                    render_task.output_file, duration
+                )
+                render_task.output_file = new_file
+
+                # 上传文件 - 创建一个兼容对象
+                class TaskCompat:
+                    def __init__(self, output_file):
+                        self.output_file = output_file
+
+                    def get_output_file(self):
+                        return self.output_file
+
+                task_compat = TaskCompat(render_task.output_file)
+                upload_success = api.upload_task_file(task_info, task_compat)
+                if not upload_success:
+                    span.set_status(Status(StatusCode.ERROR))
+                    api.report_task_failed(task_info, "Upload failed")
+                    return False
+
+                # 清理临时文件
+                self._cleanup_temp_files(render_task)
+
+                # 报告任务成功
+                api.report_task_success(
+                    task_info,
+                    videoInfo={
+                        "width": width,
+                        "height": height,
+                        "duration": duration,
+                    },
+                )
+
+                span.set_status(Status(StatusCode.OK))
+                return True
+
+            except Exception as e:
+                span.set_status(Status(StatusCode.ERROR))
+                logger.error(f"Task processing failed: {e}", exc_info=True)
+                api.report_task_failed(task_info, str(e))
+                return False
+
+    def create_render_task(
+        self, task_info: Dict[str, Any], template_info: Dict[str, Any]
+    ) -> RenderTask:
+        """创建渲染任务"""
+        tracer = get_tracer(__name__)
+        with tracer.start_as_current_span("create_render_task") as span:
+            # 解析任务参数
+            task_params_str = task_info.get("taskParams", "{}")
+            span.set_attribute("task_params", task_params_str)
+
+            task_params = safe_json_loads(task_params_str, {})
+            task_params_orig = safe_json_loads(task_params_str, {})
+
+            if not task_params:
+                raise TaskValidationError("Invalid or empty task params JSON")
+
+            # 并行下载资源
+            self._download_resources(task_params)
+
+            # 创建子任务列表
+            sub_tasks = []
+            only_if_usage_count = {}
+
+            for part in template_info.get("video_parts", []):
+                source, ext_data = self._parse_video_source(
+                    part.get("source"), task_params, template_info
+                )
+                if not source:
+                    logger.warning("No video found for part: %s", part)
+                    continue
+
+                # 检查only_if条件
+                only_if = part.get("only_if", "")
+                if only_if:
+                    only_if_usage_count[only_if] = (
+                        only_if_usage_count.get(only_if, 0) + 1
+                    )
+                    required_count = only_if_usage_count[only_if]
+                    if not self._check_placeholder_exist_with_count(
+                        only_if, task_params_orig, required_count
+                    ):
+                        logger.info(
+                            "Skipping part due to only_if condition: %s (need %d)",
+                            only_if,
+                            required_count,
+                        )
+                        continue
+
+                # 创建子任务
+                sub_task = self._create_sub_task(part, source, ext_data, template_info)
+                sub_tasks.append(sub_task)
+
+            # 创建主任务
+            output_file = f"out_{task_info.get('id', 'unknown')}.mp4"
+            main_task = RenderTask(
+                input_files=[task.output_file for task in sub_tasks],
+                output_file=output_file,
+                resolution=template_info.get("video_size", ""),
+                frame_rate=template_info.get("frame_rate", 25),
+                center_cut=template_info.get("crop_mode"),
+                zoom_cut=template_info.get("zoom_cut"),
+            )
+
+            # 应用整体模板设置
+            overall_template = template_info.get("overall_template", {})
+            self._apply_template_settings(main_task, overall_template, template_info)
+
+            # 设置扩展数据
+            main_task.ext_data = task_info
+
+            span.set_attribute("render_task.sub_tasks", len(sub_tasks))
+            span.set_attribute("render_task.effects", len(main_task.effects))
+
+            return main_task
+
+    def _download_resources(self, task_params: Dict[str, Any]):
+        """并行下载资源"""
+        from config.settings import get_ffmpeg_config
+
+        config = get_ffmpeg_config()
+
+        download_futures = []
+
+        with ThreadPoolExecutor(max_workers=config.max_download_workers) as executor:
+            for param_list in task_params.values():
+                if isinstance(param_list, list):
+                    for param in param_list:
+                        url = param.get("url", "")
+                        if url.startswith("http"):
+                            _, filename = os.path.split(url)
+                            future = executor.submit(
+                                oss.download_from_oss, url, filename, True
+                            )
+                            download_futures.append((future, url, filename))
+
+            # 等待所有下载完成，并记录失败的下载
+            failed_downloads = []
+            for future, url, filename in download_futures:
+                try:
+                    result = future.result(timeout=30)  # 30秒超时
+                    if not result:
+                        failed_downloads.append((url, filename))
+                except Exception as e:
+                    logger.warning(f"Failed to download {url}: {e}")
+                    failed_downloads.append((url, filename))
+
+            if failed_downloads:
+                logger.warning(
+                    f"Failed to download {len(failed_downloads)} resources: {[f[1] for f in failed_downloads]}"
+                )
+
+    def _parse_video_source(
+        self,
+        source: str,
+        task_params: Dict[str, Any],
+        template_info: Dict[str, Any],
+    ) -> tuple[Optional[str], Dict[str, Any]]:
+        """解析视频源"""
+        if source.startswith("PLACEHOLDER_"):
+            placeholder_id = source.replace("PLACEHOLDER_", "")
+            new_sources = task_params.get(placeholder_id, [])
+            pick_source = {}
+
+            if isinstance(new_sources, list):
+                if len(new_sources) == 0:
+                    logger.debug("No video found for placeholder: %s", placeholder_id)
+                    return None, pick_source
+                else:
+                    pick_source = new_sources.pop(0)
+                    new_sources = pick_source.get("url", "")
+
+            if new_sources.startswith("http"):
+                _, source_name = os.path.split(new_sources)
+                oss.download_from_oss(new_sources, source_name, True)
+                return source_name, pick_source
+            return new_sources, pick_source
+
+        return os.path.join(template_info.get("local_path", ""), source), {}
+
+    def _check_placeholder_exist_with_count(
+        self,
+        placeholder_id: str,
+        task_params: Dict[str, Any],
+        required_count: int = 1,
+    ) -> bool:
+        """检查占位符是否存在足够数量的片段"""
+        if placeholder_id in task_params:
+            new_sources = task_params.get(placeholder_id, [])
+            if isinstance(new_sources, list):
+                return len(new_sources) >= required_count
+            return required_count <= 1
+        return False
+
+    def _create_sub_task(
+        self,
+        part: Dict[str, Any],
+        source: str,
+        ext_data: Dict[str, Any],
+        template_info: Dict[str, Any],
+    ) -> RenderTask:
+        """创建子任务"""
+        sub_task = RenderTask(
+            input_files=[source],
+            resolution=template_info.get("video_size", ""),
+            frame_rate=template_info.get("frame_rate", 25),
+            annexb=True,
+            center_cut=part.get("crop_mode"),
+            zoom_cut=part.get("zoom_cut"),
+            ext_data=ext_data,
+        )
+
+        # 应用部分模板设置
+        self._apply_template_settings(sub_task, part, template_info)
+
+        return sub_task
+
+    def _apply_template_settings(
+        self,
+        task: RenderTask,
+        template_part: Dict[str, Any],
+        template_info: Dict[str, Any],
+    ):
+        """应用模板设置到任务"""
+        # 添加效果
+        for effect in template_part.get("effects", []):
+            task.add_effect(effect)
+
+        # 添加LUT
+        for lut in template_part.get("luts", []):
+            full_path = os.path.join(template_info.get("local_path", ""), lut)
+            task.add_lut(full_path.replace("\\", "/"))
+
+        # 添加音频
+        for audio in template_part.get("audios", []):
+            full_path = os.path.join(template_info.get("local_path", ""), audio)
+            task.add_audios(full_path)
+
+        # 添加覆盖层
+        for overlay in template_part.get("overlays", []):
+            full_path = os.path.join(template_info.get("local_path", ""), overlay)
+            task.add_overlay(full_path)
+
+    def _cleanup_temp_files(self, task: RenderTask):
+        """清理临时文件"""
+        try:
+            template_dir = os.getenv("TEMPLATE_DIR", "")
+            if template_dir and template_dir not in task.output_file:
+                if os.path.exists(task.output_file):
+                    os.remove(task.output_file)
+                    logger.info("Cleaned up temp file: %s", task.output_file)
+            else:
+                logger.info("Skipped cleanup of template file: %s", task.output_file)
+        except OSError as e:
+            logger.warning("Failed to cleanup temp file %s: %s", task.output_file, e)

services/template_service.py

@@ -0,0 +1,287 @@
+import json
+import os
+import logging
+from abc import ABC, abstractmethod
+from typing import Dict, Any, Optional
+
+from opentelemetry.trace import Status, StatusCode
+
+from util.exceptions import (
+    TemplateError,
+    TemplateNotFoundError,
+    TemplateValidationError,
+)
+from util import api, oss
+from config.settings import get_storage_config
+from telemetry import get_tracer
+
+logger = logging.getLogger(__name__)
+
+
+class TemplateService(ABC):
+    """模板服务抽象接口"""
+
+    @abstractmethod
+    def get_template(self, template_id: str) -> Optional[Dict[str, Any]]:
+        """
+        获取模板信息
+
+        Args:
+            template_id: 模板ID
+
+        Returns:
+            Dict[str, Any]: 模板信息，如果不存在则返回None
+        """
+        pass
+
+    @abstractmethod
+    def load_local_templates(self):
+        """加载本地模板"""
+        pass
+
+    @abstractmethod
+    def download_template(self, template_id: str) -> bool:
+        """
+        下载模板
+
+        Args:
+            template_id: 模板ID
+
+        Returns:
+            bool: 下载是否成功
+        """
+        pass
+
+    @abstractmethod
+    def validate_template(self, template_info: Dict[str, Any]) -> bool:
+        """
+        验证模板
+
+        Args:
+            template_info: 模板信息
+
+        Returns:
+            bool: 验证是否通过
+        """
+        pass
+
+
+class DefaultTemplateService(TemplateService):
+    """默认模板服务实现"""
+
+    def __init__(self):
+        self.templates: Dict[str, Dict[str, Any]] = {}
+        self.storage_config = get_storage_config()
+
+    def get_template(self, template_id: str) -> Optional[Dict[str, Any]]:
+        """获取模板信息"""
+        if template_id not in self.templates:
+            # 尝试下载模板
+            if not self.download_template(template_id):
+                return None
+        return self.templates.get(template_id)
+
+    def load_local_templates(self):
+        """加载本地模板"""
+        template_dir = self.storage_config.template_dir
+        if not os.path.exists(template_dir):
+            logger.warning("Template directory does not exist: %s", template_dir)
+            return
+
+        for template_name in os.listdir(template_dir):
+            if template_name.startswith("_") or template_name.startswith("."):
+                continue
+
+            target_path = os.path.join(template_dir, template_name)
+            if os.path.isdir(target_path):
+                try:
+                    self._load_template(template_name, target_path)
+                except Exception as e:
+                    logger.error("Failed to load template %s: %s", template_name, e)
+
+    def download_template(self, template_id: str) -> bool:
+        """下载模板"""
+        tracer = get_tracer(__name__)
+        with tracer.start_as_current_span("download_template") as span:
+            try:
+                span.set_attribute("template.id", template_id)
+
+                # 获取远程模板信息
+                template_info = api.get_template_info(template_id)
+                if template_info is None:
+                    logger.warning("Failed to get template info: %s", template_id)
+                    return False
+
+                local_path = template_info.get("local_path")
+                if not local_path:
+                    local_path = os.path.join(
+                        self.storage_config.template_dir, str(template_id)
+                    )
+                    template_info["local_path"] = local_path
+
+                # 创建本地目录
+                if not os.path.isdir(local_path):
+                    os.makedirs(local_path)
+
+                # 下载模板资源
+                overall_template = template_info.get("overall_template", {})
+                video_parts = template_info.get("video_parts", [])
+
+                self._download_template_assets(overall_template, template_info)
+                for video_part in video_parts:
+                    self._download_template_assets(video_part, template_info)
+
+                # 保存模板定义文件
+                template_file = os.path.join(local_path, "template.json")
+                with open(template_file, "w", encoding="utf-8") as f:
+                    json.dump(template_info, f, ensure_ascii=False, indent=2)
+
+                # 加载到内存
+                self._load_template(template_id, local_path)
+
+                span.set_status(Status(StatusCode.OK))
+                logger.info("Template downloaded successfully: %s", template_id)
+                return True
+
+            except Exception as e:
+                span.set_status(Status(StatusCode.ERROR))
+                logger.error("Failed to download template %s: %s", template_id, e)
+                return False
+
+    def validate_template(self, template_info: Dict[str, Any]) -> bool:
+        """验证模板"""
+        try:
+            local_path = template_info.get("local_path")
+            if not local_path:
+                raise TemplateValidationError("Template missing local_path")
+
+            # 验证视频部分
+            for video_part in template_info.get("video_parts", []):
+                self._validate_template_part(video_part, local_path)
+
+            # 验证整体模板
+            overall_template = template_info.get("overall_template", {})
+            if overall_template:
+                self._validate_template_part(overall_template, local_path)
+
+            return True
+
+        except TemplateValidationError:
+            raise
+        except Exception as e:
+            raise TemplateValidationError(f"Template validation failed: {e}")
+
+    def _load_template(self, template_name: str, local_path: str):
+        """加载单个模板"""
+        logger.info("Loading template: %s (%s)", template_name, local_path)
+
+        template_def_file = os.path.join(local_path, "template.json")
+        if not os.path.exists(template_def_file):
+            raise TemplateNotFoundError(
+                f"Template definition file not found: {template_def_file}"
+            )
+
+        try:
+            with open(template_def_file, "r", encoding="utf-8") as f:
+                template_info = json.load(f)
+        except json.JSONDecodeError as e:
+            raise TemplateError(f"Invalid template JSON: {e}")
+
+        template_info["local_path"] = local_path
+
+        try:
+            self.validate_template(template_info)
+            self.templates[template_name] = template_info
+            logger.info("Template loaded successfully: %s", template_name)
+        except TemplateValidationError as e:
+            logger.error(
+                "Template validation failed for %s: %s. Attempting to re-download.",
+                template_name,
+                e,
+            )
+            # 模板验证失败，尝试重新下载
+            if self.download_template(template_name):
+                logger.info("Template re-downloaded successfully: %s", template_name)
+            else:
+                logger.error("Failed to re-download template: %s", template_name)
+                raise
+
+    def _download_template_assets(
+        self, template_part: Dict[str, Any], template_info: Dict[str, Any]
+    ):
+        """下载模板资源"""
+        local_path = template_info["local_path"]
+
+        # 下载源文件
+        if "source" in template_part:
+            source = template_part["source"]
+            if isinstance(source, str) and source.startswith("http"):
+                _, filename = os.path.split(source)
+                new_file_path = os.path.join(local_path, filename)
+                oss.download_from_oss(source, new_file_path)
+
+                if filename.endswith(".mp4"):
+                    from util.ffmpeg import re_encode_and_annexb
+
+                    new_file_path = re_encode_and_annexb(new_file_path)
+
+                template_part["source"] = os.path.relpath(new_file_path, local_path)
+
+        # 下载覆盖层
+        if "overlays" in template_part:
+            for i, overlay in enumerate(template_part["overlays"]):
+                if isinstance(overlay, str) and overlay.startswith("http"):
+                    _, filename = os.path.split(overlay)
+                    oss.download_from_oss(overlay, os.path.join(local_path, filename))
+                    template_part["overlays"][i] = filename
+
+        # 下载LUT
+        if "luts" in template_part:
+            for i, lut in enumerate(template_part["luts"]):
+                if isinstance(lut, str) and lut.startswith("http"):
+                    _, filename = os.path.split(lut)
+                    oss.download_from_oss(lut, os.path.join(local_path, filename))
+                    template_part["luts"][i] = filename
+
+        # 下载音频
+        if "audios" in template_part:
+            for i, audio in enumerate(template_part["audios"]):
+                if isinstance(audio, str) and audio.startswith("http"):
+                    _, filename = os.path.split(audio)
+                    oss.download_from_oss(audio, os.path.join(local_path, filename))
+                    template_part["audios"][i] = filename
+
+    def _validate_template_part(self, template_part: Dict[str, Any], base_dir: str):
+        """验证模板部分"""
+        # 验证源文件
+        source_file = template_part.get("source", "")
+        if (
+            source_file
+            and not source_file.startswith("http")
+            and not source_file.startswith("PLACEHOLDER_")
+        ):
+            if not os.path.isabs(source_file):
+                source_file = os.path.join(base_dir, source_file)
+            if not os.path.exists(source_file):
+                raise TemplateValidationError(f"Source file not found: {source_file}")
+
+        # 验证音频文件
+        for audio in template_part.get("audios", []):
+            if not os.path.isabs(audio):
+                audio = os.path.join(base_dir, audio)
+            if not os.path.exists(audio):
+                raise TemplateValidationError(f"Audio file not found: {audio}")
+
+        # 验证LUT文件
+        for lut in template_part.get("luts", []):
+            if not os.path.isabs(lut):
+                lut = os.path.join(base_dir, lut)
+            if not os.path.exists(lut):
+                raise TemplateValidationError(f"LUT file not found: {lut}")
+
+        # 验证覆盖层文件
+        for overlay in template_part.get("overlays", []):
+            if not os.path.isabs(overlay):
+                overlay = os.path.join(base_dir, overlay)
+            if not os.path.exists(overlay):
+                raise TemplateValidationError(f"Overlay file not found: {overlay}")

telemetry/__init__.py

@@ -0,0 +1,55 @@
+import os
+
+from constant import SOFTWARE_VERSION
+from opentelemetry import trace
+from opentelemetry.exporter.otlp.proto.http.trace_exporter import (
+    OTLPSpanExporter as OTLPSpanHttpExporter,
+)
+from opentelemetry.sdk.resources import (
+    DEPLOYMENT_ENVIRONMENT,
+    HOST_NAME,
+    Resource,
+    SERVICE_NAME,
+    SERVICE_VERSION,
+)
+from opentelemetry.sdk.trace import TracerProvider
+from opentelemetry.sdk.trace.export import BatchSpanProcessor, SimpleSpanProcessor
+from opentelemetry.instrumentation.threading import ThreadingInstrumentor
+
+ThreadingInstrumentor().instrument()
+
+
+def get_tracer(name):
+    return trace.get_tracer(name)
+
+
+# 初始化 OpenTelemetry
+def init_opentelemetry(batch=True):
+    # 设置服务名、主机名
+    resource = Resource(
+        attributes={
+            SERVICE_NAME: "RENDER_WORKER",
+            SERVICE_VERSION: SOFTWARE_VERSION,
+            DEPLOYMENT_ENVIRONMENT: "Python",
+            HOST_NAME: os.getenv("ACCESS_KEY"),
+        }
+    )
+
+    # 使用HTTP协议上报
+    if batch:
+        span_processor = BatchSpanProcessor(
+            OTLPSpanHttpExporter(
+                endpoint="https://oltp.jerryyan.top/v1/traces",
+            )
+        )
+    else:
+        span_processor = SimpleSpanProcessor(
+            OTLPSpanHttpExporter(
+                endpoint="https://oltp.jerryyan.top/v1/traces",
+            )
+        )
+
+    trace_provider = TracerProvider(
+        resource=resource, active_span_processor=span_processor
+    )
+    trace.set_tracer_provider(trace_provider)

template/.gitignore

@@ -0,0 +1 @@
+**/*

template/__init__.py

@@ -0,0 +1,69 @@
+import json
+import os
+import logging
+
+from telemetry import get_tracer
+from util import api, oss
+from services.template_service import DefaultTemplateService
+
+logger = logging.getLogger("template")
+
+# 全局模板服务实例
+_template_service = None
+
+def _get_template_service():
+    """获取模板服务实例"""
+    global _template_service
+    if _template_service is None:
+        _template_service = DefaultTemplateService()
+    return _template_service
+
+# 向后兼容的全局变量和函数
+TEMPLATES: dict = {}
+
+def _update_templates_dict():
+    """更新全局TEMPLATES字典以保持向后兼容"""
+    service = _get_template_service()
+    TEMPLATES.clear()
+    TEMPLATES.update(service.templates)
+
+def check_local_template(local_name):
+    """向后兼容函数"""
+    service = _get_template_service()
+    template_def = service.templates.get(local_name)
+    if template_def:
+        try:
+            service.validate_template(template_def)
+        except Exception as e:
+            logger.error(f"Template validation failed: {e}")
+            raise
+
+def load_template(template_name, local_path):
+    """向后兼容函数"""
+    service = _get_template_service()
+    service._load_template(template_name, local_path)
+    _update_templates_dict()
+
+def load_local_template():
+    """加载本地模板（向后兼容函数）"""
+    service = _get_template_service()
+    service.load_local_templates()
+    _update_templates_dict()
+
+def get_template_def(template_id):
+    """获取模板定义（向后兼容函数）"""
+    service = _get_template_service()
+    template = service.get_template(template_id)
+    _update_templates_dict()
+    return template
+
+def download_template(template_id):
+    """下载模板（向后兼容函数）"""
+    service = _get_template_service()
+    success = service.download_template(template_id)
+    _update_templates_dict()
+    return success
+
+def analyze_template(template_id):
+    """分析模板（占位符函数）"""
+    pass

tests/README.md

@@ -0,0 +1,313 @@
+# RenderWorker 测试文档
+
+本目录包含 RenderWorker 项目的完整测试套件，用于验证特效参数生成和 FFmpeg 渲染功能。
+
+## 目录结构
+
+```
+tests/
+├── conftest.py                     # pytest 配置和公共 fixtures
+├── test_data/                      # 测试数据
+│   ├── videos/                     # 测试视频文件
+│   ├── templates/                  # 测试模板数据
+│   └── expected_outputs/           # 预期输出结果
+├── test_effects/                   # 特效单元测试
+│   ├── test_base.py               # 基础类测试
+│   ├── test_zoom_effect.py        # 缩放特效测试
+│   ├── test_speed_effect.py       # 变速特效测试
+│   └── ...                        # 其他特效测试
+├── test_ffmpeg_builder/            # FFmpeg 命令构建测试
+│   └── test_ffmpeg_command_builder.py
+├── test_integration/               # 集成测试
+│   └── test_ffmpeg_execution.py   # FFmpeg 执行测试
+└── utils/                          # 测试工具
+    └── test_helpers.py            # 测试辅助函数
+```
+
+## 快速开始
+
+### 1. 安装测试依赖
+
+```bash
+pip install -r requirements-test.txt
+```
+
+### 2. 运行测试
+
+使用测试运行器脚本：
+
+```bash
+# 运行所有测试
+python run_tests.py all --coverage
+
+# 只运行单元测试
+python run_tests.py unit --coverage --html-report
+
+# 只运行集成测试
+python run_tests.py integration
+
+# 运行特定特效测试
+python run_tests.py effects --effect zoom
+
+# 运行压力测试
+python run_tests.py stress
+```
+
+或直接使用 pytest：
+
+```bash
+# 运行所有测试
+pytest tests/ -v --cov=entity --cov=services
+
+# 只运行单元测试
+pytest tests/test_effects/ tests/test_ffmpeg_builder/ -v
+
+# 只运行集成测试
+pytest tests/test_integration/ -v -m integration
+
+# 生成覆盖率报告
+pytest tests/ --cov=entity --cov=services --cov-report=html
+```
+
+## 测试类型说明
+
+### 单元测试 (Unit Tests)
+
+位置：`tests/test_effects/`, `tests/test_ffmpeg_builder/`
+
+测试内容：
+- 各个特效处理器的参数验证
+- FFmpeg 滤镜参数生成
+- 特效注册表功能
+- FFmpeg 命令构建逻辑
+
+特点：
+- 运行速度快
+- 不依赖外部工具
+- 测试覆盖率高
+
+### 集成测试 (Integration Tests)
+
+位置：`tests/test_integration/`
+
+测试内容：
+- 实际 FFmpeg 命令执行
+- 视频文件处理验证
+- 特效组合效果测试
+- 错误处理验证
+
+依赖：
+- 需要系统安装 FFmpeg
+- 需要测试视频文件
+
+### 压力测试 (Stress Tests)
+
+测试内容：
+- 大量特效链处理
+- 长时间运行稳定性
+- 资源使用情况
+
+运行条件：
+- 设置环境变量 `RUN_STRESS_TESTS=1`
+- 较长的超时时间
+
+## 测试配置
+
+### pytest 配置
+
+在 `pytest.ini` 中配置：
+- 测试路径和文件模式
+- 覆盖率设置
+- 标记定义
+- 输出格式
+
+### 环境变量
+
+- `RUN_STRESS_TESTS`: 启用压力测试
+- `FFMPEG_PATH`: 自定义 FFmpeg 路径
+
+## 特效测试详解
+
+### 缩放特效 (ZoomEffect)
+
+测试用例：
+- 有效参数验证：`"0,2.0,3.0"`（开始时间，缩放因子，持续时间）
+- 无效参数处理：负值、非数字、参数不足
+- 静态缩放：持续时间为 0
+- 动态缩放：指定时间段内的缩放
+- 位置 JSON 解析：自定义缩放中心点
+
+生成滤镜格式：
+```
+# 静态缩放
+[0:v]trim=start=0,zoompan=z=2.0:x=iw/2:y=ih/2:d=1[v_eff1]
+
+# 动态缩放
+[0:v]zoompan=z=if(between(t\,0\,3.0)\,2.0\,1):x=iw/2:y=ih/2:d=1[v_eff1]
+```
+
+### 变速特效 (SpeedEffect)
+
+测试用例：
+- 加速效果：`"2.0"`（2倍速）
+- 减速效果：`"0.5"`（0.5倍速）
+- 无效参数：零值、负值、非数字
+- 默认处理：空参数或 1.0 倍速
+
+生成滤镜格式：
+```
+[0:v]setpts=2.0*PTS[v_eff1]
+```
+
+## FFmpeg 命令构建测试
+
+### 测试场景
+
+1. **单文件复制**：直接复制无需编码
+2. **多文件拼接**：使用 concat 滤镜
+3. **特效处理**：复杂滤镜链构建
+4. **错误处理**：缺失文件、无效参数
+
+### 命令验证
+
+使用 `FFmpegValidator` 验证：
+- 命令结构完整性
+- 输入输出文件存在
+- 滤镜语法正确性
+- 流标识符格式
+
+## 集成测试详解
+
+### 真实 FFmpeg 执行
+
+测试流程：
+1. 创建测试视频文件
+2. 构建 FFmpeg 命令
+3. 执行命令并检查返回码
+4. 验证输出文件存在且有效
+
+### 测试用例
+
+- 简单复制操作
+- 单特效处理
+- 多特效组合
+- 视频拼接
+- 错误情况处理
+
+### 性能测试
+
+监控指标：
+- 执行时间
+- 内存使用
+- 文件大小
+- 处理速度
+
+## 代码覆盖率
+
+目标覆盖率：≥ 70%
+
+覆盖范围：
+- `entity/` 目录下的所有模块
+- `services/` 目录下的所有模块
+
+报告格式：
+- XML 格式：用于 Jenkins CI/CD
+- HTML 格式：用于本地查看
+- 终端输出：实时查看缺失覆盖
+
+## CI/CD 集成
+
+### Jenkins Pipeline
+
+配置文件：`Jenkinsfile`
+
+阶段：
+1. 环境准备
+2. 代码质量检查
+3. 单元测试
+4. 集成测试
+5. 完整测试套件
+6. 性能测试
+
+报告生成：
+- JUnit XML 测试报告
+- Cobertura 覆盖率报告
+- HTML 测试和覆盖率报告
+
+### 自动化触发
+
+- 代码提交时运行单元测试
+- PR 创建时运行完整测试
+- 主分支更新时运行包含性能测试的完整套件
+
+## 故障排除
+
+### 常见问题
+
+1. **FFmpeg 未找到**
+   ```bash
+   # 安装 FFmpeg
+   sudo apt-get install ffmpeg  # Ubuntu/Debian
+   brew install ffmpeg          # macOS
+   ```
+
+2. **测试视频创建失败**
+   ```bash
+   # 手动创建测试视频
+   python run_tests.py setup
+   ```
+
+3. **覆盖率过低**
+   - 检查是否有未测试的代码路径
+   - 添加边界条件测试
+   - 验证测试是否实际运行
+
+4. **集成测试超时**
+   - 增加超时时间：`--timeout=600`
+   - 使用更小的测试文件
+   - 检查系统资源使用情况
+
+### 调试技巧
+
+1. **查看详细输出**：
+   ```bash
+   pytest tests/ -v -s
+   ```
+
+2. **只运行失败的测试**：
+   ```bash
+   pytest tests/ --lf
+   ```
+
+3. **停在第一个失败**：
+   ```bash
+   pytest tests/ -x
+   ```
+
+4. **查看覆盖率详情**：
+   ```bash
+   pytest tests/ --cov=entity --cov-report=term-missing
+   ```
+
+## 贡献指南
+
+### 添加新测试
+
+1. 在相应目录创建测试文件
+2. 使用描述性的测试函数名
+3. 添加适当的测试标记
+4. 更新文档说明
+
+### 测试最佳实践
+
+1. **独立性**：每个测试应该独立运行
+2. **可重复性**：测试结果应该一致
+3. **清晰性**：测试意图应该明确
+4. **完整性**：覆盖正常和异常情况
+
+### 代码质量
+
+- 遵循 PEP 8 代码风格
+- 使用类型注解
+- 添加适当的文档字符串
+- 使用有意义的变量名

tests/conftest.py

@@ -0,0 +1,108 @@
+"""pytest配置文件"""
+
+import pytest
+import os
+import tempfile
+import shutil
+from pathlib import Path
+from typing import Dict, Any
+
+from entity.render_task import RenderTask
+from config.settings import FFmpegConfig, APIConfig, StorageConfig
+
+
+@pytest.fixture
+def temp_dir():
+    """创建临时目录"""
+    temp_path = tempfile.mkdtemp()
+    yield temp_path
+    shutil.rmtree(temp_path, ignore_errors=True)
+
+
+@pytest.fixture
+def test_ffmpeg_config():
+    """测试用FFmpeg配置"""
+    return FFmpegConfig(
+        encoder_args=["-c:v", "h264"],
+        video_args=["-profile:v", "high"],
+        audio_args=["-c:a", "aac"],
+        default_args=["-shortest"],
+    )
+
+
+@pytest.fixture
+def test_api_config():
+    """测试用API配置"""
+    return APIConfig(
+        endpoint="http://test.local",
+        access_key="test_key",
+    )
+
+
+@pytest.fixture
+def test_storage_config():
+    """测试用存储配置"""
+    return StorageConfig(
+        template_dir="tests/test_data/templates",
+    )
+
+
+@pytest.fixture
+def sample_render_task():
+    """示例渲染任务"""
+    return RenderTask(
+        input_files=["test_input.mp4"],
+        output_file="test_output.mp4",
+        frame_rate=25,
+        effects=["zoom:0,2.0,3.0", "ospeed:1.5"],
+        ext_data={
+            "posJson": '{"ltX": 100, "ltY": 100, "rbX": 200, "rbY": 200, "imgWidth": 300, "imgHeight": 300}'
+        },
+    )
+
+
+@pytest.fixture
+def sample_video_file(temp_dir):
+    """创建测试用的样本视频文件路径"""
+    video_path = os.path.join(temp_dir, "sample.mp4")
+    # 这里只返回路径，实际测试中可能需要真实视频文件
+    return video_path
+
+
+@pytest.fixture(scope="session")
+def ffmpeg_available():
+    """检查FFmpeg是否可用"""
+    import subprocess
+
+    try:
+        subprocess.run(["ffmpeg", "-version"], capture_output=True, check=True)
+        return True
+    except (subprocess.CalledProcessError, FileNotFoundError):
+        return False
+
+
+@pytest.fixture
+def mock_ext_data():
+    """模拟扩展数据"""
+    return {
+        "posJson": '{"ltX": 50, "ltY": 50, "rbX": 150, "rbY": 150, "imgWidth": 200, "imgHeight": 200}',
+        "templateData": {"width": 1920, "height": 1080},
+    }
+
+
+# 标记：只在FFmpeg可用时运行集成测试
+def pytest_collection_modifyitems(config, items):
+    """根据FFmpeg可用性修改测试收集"""
+    try:
+        import subprocess
+
+        subprocess.run(["ffmpeg", "-version"], capture_output=True, check=True)
+        ffmpeg_available = True
+    except (subprocess.CalledProcessError, FileNotFoundError):
+        ffmpeg_available = False
+
+    if not ffmpeg_available:
+        skip_ffmpeg = pytest.mark.skip(reason="FFmpeg not available")
+        for item in items:
+            if "integration" in item.keywords:
+                item.add_marker(skip_ffmpeg)

tests/test_data/README.md

@@ -0,0 +1,15 @@
+# 测试数据说明
+
+这个目录包含测试所需的样本数据：
+
+## 目录结构
+- `videos/` - 测试用视频文件
+- `templates/` - 测试用模板数据
+- `expected_outputs/` - 预期输出结果
+
+## 使用说明
+- 小尺寸视频文件用于快速测试
+- 模板文件包含各种特效配置
+- 预期输出用于验证测试结果
+
+注意：实际的视频文件可能较大，建议使用小尺寸测试文件。

tests/test_effects/test_base.py

@@ -0,0 +1,187 @@
+"""测试特效基础类和注册表"""
+
+import pytest
+from unittest.mock import Mock
+
+from entity.effects.base import EffectProcessor, EffectRegistry
+
+
+class TestEffectProcessor:
+    """测试特效处理器基类"""
+
+    def test_init(self):
+        """测试初始化"""
+        processor = Mock(spec=EffectProcessor)
+        processor.__init__("test_params", {"key": "value"})
+
+        assert processor.params == "test_params"
+        assert processor.ext_data == {"key": "value"}
+        assert processor.frame_rate == 25
+
+    def test_init_default_ext_data(self):
+        """测试默认扩展数据"""
+        processor = Mock(spec=EffectProcessor)
+        processor.__init__("test_params")
+
+        assert processor.ext_data == {}
+
+    def test_parse_params_empty(self):
+        """测试解析空参数"""
+        processor = EffectProcessor("", {})
+        result = processor.parse_params()
+        assert result == []
+
+    def test_parse_params_single(self):
+        """测试解析单个参数"""
+        processor = EffectProcessor("123", {})
+        result = processor.parse_params()
+        assert result == ["123"]
+
+    def test_parse_params_multiple(self):
+        """测试解析多个参数"""
+        processor = EffectProcessor("1,2.5,test", {})
+        result = processor.parse_params()
+        assert result == ["1", "2.5", "test"]
+
+    def test_get_pos_json_empty(self):
+        """测试获取空位置JSON"""
+        processor = EffectProcessor("", {})
+        result = processor.get_pos_json()
+        assert result == {}
+
+    def test_get_pos_json_valid(self):
+        """测试获取有效位置JSON"""
+        ext_data = {"posJson": '{"ltX": 100, "ltY": 200, "rbX": 300, "rbY": 400}'}
+        processor = EffectProcessor("", ext_data)
+        result = processor.get_pos_json()
+
+        expected = {"ltX": 100, "ltY": 200, "rbX": 300, "rbY": 400}
+        assert result == expected
+
+    def test_get_pos_json_invalid(self):
+        """测试获取无效位置JSON"""
+        ext_data = {"posJson": "invalid_json"}
+        processor = EffectProcessor("", ext_data)
+        result = processor.get_pos_json()
+        assert result == {}
+
+    def test_get_pos_json_default_value(self):
+        """测试默认位置JSON值"""
+        ext_data = {"posJson": "{}"}
+        processor = EffectProcessor("", ext_data)
+        result = processor.get_pos_json()
+        assert result == {}
+
+
+class TestEffectRegistry:
+    """测试特效注册表"""
+
+    def test_init(self):
+        """测试初始化"""
+        registry = EffectRegistry()
+        assert registry._processors == {}
+
+    def test_register_valid_processor(self):
+        """测试注册有效处理器"""
+        registry = EffectRegistry()
+
+        class TestEffect(EffectProcessor):
+            def validate_params(self):
+                return True
+
+            def generate_filter_args(self, video_input, effect_index):
+                return [], video_input
+
+            def get_effect_name(self):
+                return "test"
+
+        registry.register("test_effect", TestEffect)
+        assert "test_effect" in registry._processors
+        assert registry._processors["test_effect"] == TestEffect
+
+    def test_register_invalid_processor(self):
+        """测试注册无效处理器"""
+        registry = EffectRegistry()
+
+        class InvalidEffect:
+            pass
+
+        with pytest.raises(ValueError, match="must be a subclass of EffectProcessor"):
+            registry.register("invalid", InvalidEffect)
+
+    def test_get_processor_exists(self):
+        """测试获取存在的处理器"""
+        registry = EffectRegistry()
+
+        class TestEffect(EffectProcessor):
+            def validate_params(self):
+                return True
+
+            def generate_filter_args(self, video_input, effect_index):
+                return [], video_input
+
+            def get_effect_name(self):
+                return "test"
+
+        registry.register("test_effect", TestEffect)
+        processor = registry.get_processor("test_effect", "params", {"data": "value"})
+
+        assert isinstance(processor, TestEffect)
+        assert processor.params == "params"
+        assert processor.ext_data == {"data": "value"}
+
+    def test_get_processor_not_exists(self):
+        """测试获取不存在的处理器"""
+        registry = EffectRegistry()
+        processor = registry.get_processor("nonexistent")
+        assert processor is None
+
+    def test_list_effects_empty(self):
+        """测试列出空特效"""
+        registry = EffectRegistry()
+        effects = registry.list_effects()
+        assert effects == []
+
+    def test_list_effects_with_processors(self):
+        """测试列出已注册特效"""
+        registry = EffectRegistry()
+
+        class TestEffect(EffectProcessor):
+            def validate_params(self):
+                return True
+
+            def generate_filter_args(self, video_input, effect_index):
+                return [], video_input
+
+            def get_effect_name(self):
+                return "test"
+
+        registry.register("effect1", TestEffect)
+        registry.register("effect2", TestEffect)
+
+        effects = registry.list_effects()
+        assert set(effects) == {"effect1", "effect2"}
+
+    def test_parse_effect_string_with_params(self):
+        """测试解析带参数的特效字符串"""
+        registry = EffectRegistry()
+        name, params = registry.parse_effect_string("zoom:0,2.0,3.0")
+
+        assert name == "zoom"
+        assert params == "0,2.0,3.0"
+
+    def test_parse_effect_string_without_params(self):
+        """测试解析无参数的特效字符串"""
+        registry = EffectRegistry()
+        name, params = registry.parse_effect_string("zoom")
+
+        assert name == "zoom"
+        assert params == ""
+
+    def test_parse_effect_string_multiple_colons(self):
+        """测试解析多个冒号的特效字符串"""
+        registry = EffectRegistry()
+        name, params = registry.parse_effect_string("effect:param1:param2")
+
+        assert name == "effect"
+        assert params == "param1:param2"

tests/test_effects/test_speed_effect.py

@@ -0,0 +1,138 @@
+"""测试变速特效"""
+
+import pytest
+from entity.effects.speed import SpeedEffect
+from tests.utils.test_helpers import EffectTestHelper
+
+
+class TestSpeedEffect:
+    """测试变速特效处理器"""
+
+    def test_validate_params_valid_cases(self):
+        """测试有效参数验证"""
+        test_cases = [
+            {"params": "2.0", "expected": True, "description": "2倍速"},
+            {"params": "0.5", "expected": True, "description": "0.5倍速（慢速）"},
+            {"params": "1.0", "expected": True, "description": "正常速度"},
+            {"params": "10.0", "expected": True, "description": "10倍速"},
+            {"params": "", "expected": True, "description": "空参数（默认不变速）"},
+        ]
+
+        effect = SpeedEffect()
+        results = EffectTestHelper.test_effect_params_validation(effect, test_cases)
+
+        for result in results:
+            assert result["passed"], f"Failed case: {result['description']} - {result}"
+
+    def test_validate_params_invalid_cases(self):
+        """测试无效参数验证"""
+        test_cases = [
+            {"params": "0", "expected": False, "description": "零速度"},
+            {"params": "-1.0", "expected": False, "description": "负速度"},
+            {"params": "abc", "expected": False, "description": "非数字参数"},
+            {"params": "1.0,2.0", "expected": False, "description": "多余参数"},
+        ]
+
+        effect = SpeedEffect()
+        results = EffectTestHelper.test_effect_params_validation(effect, test_cases)
+
+        for result in results:
+            assert result["passed"], f"Failed case: {result['description']} - {result}"
+
+    def test_generate_filter_args_speed_change(self):
+        """测试变速滤镜生成"""
+        effect = SpeedEffect("2.0")  # 2倍速
+        result = EffectTestHelper.test_filter_generation(effect, "[0:v]", 1)
+
+        assert result["success"], f"Filter generation failed: {result.get('error')}"
+        assert result["filter_count"] == 1
+        assert result["valid_syntax"]
+        assert result["output_stream"] == "[v_eff1]"
+
+        # 检查滤镜内容
+        filter_str = result["filters"][0]
+        assert "setpts=2.0*PTS" in filter_str
+        assert "[0:v]" in filter_str
+        assert "[v_eff1]" in filter_str
+
+    def test_generate_filter_args_slow_motion(self):
+        """测试慢动作滤镜生成"""
+        effect = SpeedEffect("0.5")  # 0.5倍速（慢动作）
+        result = EffectTestHelper.test_filter_generation(effect, "[input]", 3)
+
+        assert result["success"]
+        assert result["filter_count"] == 1
+        assert result["valid_syntax"]
+        assert result["output_stream"] == "[v_eff3]"
+
+        filter_str = result["filters"][0]
+        assert "setpts=0.5*PTS" in filter_str
+        assert "[input]" in filter_str
+        assert "[v_eff3]" in filter_str
+
+    def test_generate_filter_args_no_change(self):
+        """测试无变速效果"""
+        test_cases = [
+            {"params": "", "description": "空参数"},
+            {"params": "1", "description": "1倍速"},
+            {"params": "1.0", "description": "1.0倍速"},
+        ]
+
+        for case in test_cases:
+            effect = SpeedEffect(case["params"])
+            result = EffectTestHelper.test_filter_generation(effect, "[0:v]", 1)
+
+            assert result["success"], f"Failed for {case['description']}"
+            assert (
+                result["filter_count"] == 0
+            ), f"Should not generate filter for {case['description']}"
+            assert (
+                result["output_stream"] == "[0:v]"
+            ), f"Output should equal input for {case['description']}"
+
+    def test_generate_filter_args_invalid_params(self):
+        """测试无效参数的滤镜生成"""
+        effect = SpeedEffect("invalid")
+        result = EffectTestHelper.test_filter_generation(effect, "[0:v]", 1)
+
+        assert result["success"]
+        assert result["filter_count"] == 0
+        assert result["output_stream"] == "[0:v]"
+
+    def test_get_effect_name(self):
+        """测试获取特效名称"""
+        effect = SpeedEffect()
+        assert effect.get_effect_name() == "ospeed"
+
+    def test_various_speed_factors(self):
+        """测试各种速度因子"""
+        speed_factors = ["0.1", "0.25", "0.75", "1.5", "3.0", "5.0"]
+
+        for speed in speed_factors:
+            effect = SpeedEffect(speed)
+            result = EffectTestHelper.test_filter_generation(effect, "[test]", 10)
+
+            if speed == "1.0":
+                # 1倍速不应该生成滤镜
+                assert result["filter_count"] == 0
+                assert result["output_stream"] == "[test]"
+            else:
+                # 其他速度应该生成滤镜
+                assert result["success"], f"Failed for speed {speed}"
+                assert result["filter_count"] == 1
+                assert result["valid_syntax"]
+                assert f"setpts={speed}*PTS" in result["filters"][0]
+
+    def test_effect_chaining(self):
+        """测试特效链式处理"""
+        # 模拟在特效链中的使用
+        effect = SpeedEffect("2.0")
+
+        # 第一个特效
+        result1 = EffectTestHelper.test_filter_generation(effect, "[0:v]", 1)
+        assert result1["output_stream"] == "[v_eff1]"
+
+        # 作为链中的第二个特效
+        result2 = EffectTestHelper.test_filter_generation(effect, "[v_eff1]", 2)
+        assert result2["output_stream"] == "[v_eff2]"
+        assert "[v_eff1]" in result2["filters"][0]

tests/test_effects/test_zoom_effect.py

@@ -0,0 +1,157 @@
+"""测试缩放特效"""
+
+import pytest
+from entity.effects.zoom import ZoomEffect
+from tests.utils.test_helpers import EffectTestHelper, FFmpegValidator
+
+
+class TestZoomEffect:
+    """测试缩放特效处理器"""
+
+    def test_validate_params_valid_cases(self):
+        """测试有效参数验证"""
+        test_cases = [
+            {"params": "0,2.0,3.0", "expected": True, "description": "标准缩放参数"},
+            {
+                "params": "1.5,1.5,0",
+                "expected": True,
+                "description": "静态缩放（duration=0）",
+            },
+            {
+                "params": "0,1.0,5.0",
+                "expected": True,
+                "description": "无缩放效果（factor=1.0）",
+            },
+            {"params": "10,0.5,2.0", "expected": True, "description": "缩小效果"},
+        ]
+
+        effect = ZoomEffect()
+        results = EffectTestHelper.test_effect_params_validation(effect, test_cases)
+
+        for result in results:
+            assert result["passed"], f"Failed case: {result['description']} - {result}"
+
+    def test_validate_params_invalid_cases(self):
+        """测试无效参数验证"""
+        test_cases = [
+            {"params": "", "expected": False, "description": "空参数"},
+            {"params": "1,2", "expected": False, "description": "参数不足"},
+            {"params": "-1,2.0,3.0", "expected": False, "description": "负开始时间"},
+            {"params": "0,0,3.0", "expected": False, "description": "零缩放因子"},
+            {"params": "0,-2.0,3.0", "expected": False, "description": "负缩放因子"},
+            {"params": "0,2.0,-1.0", "expected": False, "description": "负持续时间"},
+            {"params": "abc,2.0,3.0", "expected": False, "description": "非数字参数"},
+        ]
+
+        effect = ZoomEffect()
+        results = EffectTestHelper.test_effect_params_validation(effect, test_cases)
+
+        for result in results:
+            assert result["passed"], f"Failed case: {result['description']} - {result}"
+
+    def test_generate_filter_args_static_zoom(self):
+        """测试静态缩放滤镜生成"""
+        effect = ZoomEffect("0,2.0,0")  # duration=0表示静态缩放
+        result = EffectTestHelper.test_filter_generation(effect, "[0:v]", 1)
+
+        assert result["success"], f"Filter generation failed: {result.get('error')}"
+        assert result["filter_count"] == 1
+        assert result["valid_syntax"]
+        assert result["output_stream"] == "[v_eff1]"
+
+        # 检查滤镜内容
+        filter_str = result["filters"][0]
+        assert "trim=start=0" in filter_str
+        assert "zoompan=z=2.0" in filter_str
+        assert "[v_eff1]" in filter_str
+
+    def test_generate_filter_args_dynamic_zoom(self):
+        """测试动态缩放滤镜生成"""
+        effect = ZoomEffect("1.0,1.5,2.0")  # 从1秒开始，持续2秒的1.5倍缩放
+        result = EffectTestHelper.test_filter_generation(effect, "[0:v]", 2)
+
+        assert result["success"], f"Filter generation failed: {result.get('error')}"
+        assert result["filter_count"] == 1
+        assert result["valid_syntax"]
+        assert result["output_stream"] == "[v_eff2]"
+
+        # 检查滤镜内容
+        filter_str = result["filters"][0]
+        assert "zoompan=z=" in filter_str
+        assert "between(t\\\\,1.0\\\\,3.0)" in filter_str  # 检查时间范围
+        assert "[v_eff2]" in filter_str
+
+    def test_generate_filter_args_no_zoom(self):
+        """测试无缩放效果（factor=1.0）"""
+        effect = ZoomEffect("0,1.0,3.0")  # 缩放因子为1.0，应该不生成滤镜
+        result = EffectTestHelper.test_filter_generation(effect, "[0:v]", 1)
+
+        assert result["success"]
+        assert result["filter_count"] == 0
+        assert result["output_stream"] == "[0:v]"  # 输出应该等于输入
+
+    def test_generate_filter_args_invalid_params(self):
+        """测试无效参数的滤镜生成"""
+        effect = ZoomEffect("invalid,params")
+        result = EffectTestHelper.test_filter_generation(effect, "[0:v]", 1)
+
+        assert result["success"]
+        assert result["filter_count"] == 0
+        assert result["output_stream"] == "[0:v]"  # 无效参数时应该返回原输入
+
+    def test_get_zoom_center_default(self):
+        """测试默认缩放中心点"""
+        effect = ZoomEffect("0,2.0,3.0")
+        center_x, center_y = effect._get_zoom_center()
+
+        assert center_x == "iw/2"
+        assert center_y == "ih/2"
+
+    def test_get_zoom_center_with_pos_json(self):
+        """测试基于posJson的缩放中心点"""
+        ext_data = {
+            "posJson": '{"ltX": 100, "ltY": 100, "rbX": 200, "rbY": 200, "imgWidth": 400, "imgHeight": 300}'
+        }
+        effect = ZoomEffect("0,2.0,3.0", ext_data)
+        center_x, center_y = effect._get_zoom_center()
+
+        # 中心点应该是矩形的中心
+        # center_x_ratio = (100 + 200) / (2 * 400) = 0.375
+        # center_y_ratio = (100 + 200) / (2 * 300) = 0.5
+        assert "iw*0.375" in center_x
+        assert "ih*0.5" in center_y
+
+    def test_get_zoom_center_invalid_pos_json(self):
+        """测试无效posJson时的缩放中心点"""
+        ext_data = {"posJson": '{"imgWidth": 0, "imgHeight": 0}'}  # 无效尺寸
+        effect = ZoomEffect("0,2.0,3.0", ext_data)
+        center_x, center_y = effect._get_zoom_center()
+
+        # 应该回退到默认中心点
+        assert center_x == "iw/2"
+        assert center_y == "ih/2"
+
+    def test_get_effect_name(self):
+        """测试获取特效名称"""
+        effect = ZoomEffect()
+        assert effect.get_effect_name() == "zoom"
+
+    def test_complex_zoom_scenario(self):
+        """测试复杂缩放场景"""
+        # 带有复杂posJson数据的动态缩放
+        ext_data = {
+            "posJson": '{"ltX": 50, "ltY": 75, "rbX": 350, "rbY": 225, "imgWidth": 400, "imgHeight": 300}'
+        }
+        effect = ZoomEffect("2.5,3.0,1.5", ext_data)
+        result = EffectTestHelper.test_filter_generation(effect, "[input]", 5)
+
+        assert result["success"]
+        assert result["filter_count"] == 1
+        assert result["valid_syntax"]
+        assert result["output_stream"] == "[v_eff5]"
+
+        filter_str = result["filters"][0]
+        assert "zoompan=z=" in filter_str
+        assert "between(t\\\\,2.5\\\\,4.0)" in filter_str  # 2.5 + 1.5 = 4.0
+        assert "[input]" in filter_str
+        assert "[v_eff5]" in filter_str

tests/test_ffmpeg_builder/test_ffmpeg_command_builder.py

@@ -0,0 +1,234 @@
+"""测试FFmpeg命令构建器"""
+
+import pytest
+from unittest.mock import Mock, patch
+
+from entity.ffmpeg_command_builder import FFmpegCommandBuilder
+from entity.render_task import RenderTask
+from config.settings import FFmpegConfig, APIConfig, StorageConfig
+from tests.utils.test_helpers import MockRenderTask, FFmpegValidator
+
+
+class TestFFmpegCommandBuilder:
+    """测试FFmpeg命令构建器"""
+
+    @pytest.fixture
+    def simple_task(self):
+        """简单的渲染任务"""
+        task = MockRenderTask()
+        task.input_files = ["input1.mp4", "input2.mp4"]
+        task.output_path = "output.mp4"
+        task.effects = []
+        return task
+
+    @pytest.fixture
+    def task_with_effects(self):
+        """带特效的渲染任务"""
+        task = MockRenderTask()
+        task.input_files = ["input.mp4"]
+        task.output_path = "output.mp4"
+        task.effects = ["zoom:0,2.0,3.0", "ospeed:1.5"]
+        task.ext_data = {
+            "posJson": '{"ltX": 100, "ltY": 100, "rbX": 200, "rbY": 200, "imgWidth": 300, "imgHeight": 300}'
+        }
+        return task
+
+    def test_init(self, simple_task):
+        """测试初始化"""
+        builder = FFmpegCommandBuilder(simple_task)
+        assert builder.task == simple_task
+        assert builder.config is not None
+
+    def test_build_copy_command(self, simple_task):
+        """测试构建复制命令"""
+        builder = FFmpegCommandBuilder(simple_task)
+        command = builder._build_copy_command()
+
+        # 验证命令结构
+        validation = FFmpegValidator.validate_ffmpeg_command(command)
+        assert validation["valid"], f"Invalid command: {validation['errors']}"
+        assert validation["has_input"]
+        assert validation["has_output"]
+
+        # 验证具体内容
+        assert command[0] == "ffmpeg"
+        assert "-i" in command
+        assert "input1.mp4" in command
+        assert "output.mp4" in command
+        assert "-c" in command and "copy" in command
+
+    def test_build_concat_command_multiple_files(self):
+        """测试构建多文件拼接命令"""
+        task = MockRenderTask()
+        task.input_files = ["file1.mp4", "file2.mp4", "file3.mp4"]
+        task.output_path = "concat_output.mp4"
+
+        builder = FFmpegCommandBuilder(task)
+        command = builder._build_concat_command()
+
+        validation = FFmpegValidator.validate_ffmpeg_command(command)
+        assert validation["valid"]
+        assert validation["has_filter"]
+
+        # 验证拼接相关参数
+        assert "concat=n=3:v=1:a=1" in " ".join(command)
+        assert all(f"file{i}.mp4" in command for i in range(1, 4))
+
+    def test_build_encode_command_with_effects(self, task_with_effects):
+        """测试构建带特效的编码命令"""
+        builder = FFmpegCommandBuilder(task_with_effects)
+        command = builder._build_encode_command()
+
+        validation = FFmpegValidator.validate_ffmpeg_command(command)
+        assert validation["valid"]
+        assert validation["has_filter"]
+
+        command_str = " ".join(command)
+        # 应该包含特效相关的滤镜
+        assert "-filter_complex" in command
+        # 应该包含编码参数
+        assert "-c:v" in command and "h264" in command
+
+    def test_add_effects_single_effect(self):
+        """测试添加单个特效"""
+        task = MockRenderTask()
+        task.effects = ["zoom:0,2.0,3.0"]
+        task.ext_data = {"posJson": "{}"}
+
+        builder = FFmpegCommandBuilder(task)
+        filter_args: list[str] = []
+
+        result_input, result_index = builder._add_effects(filter_args, "[0:v]", 1)
+
+        # 验证结果
+        assert len(filter_args) > 0  # 应该有滤镜被添加
+        assert result_input == "[v_eff1]"  # 输出流应该更新
+        assert result_index == 2  # 索引应该递增
+
+    def test_add_effects_multiple_effects(self):
+        """测试添加多个特效"""
+        task = MockRenderTask()
+        task.effects = ["zoom:0,2.0,3.0", "ospeed:1.5"]
+        task.ext_data = {"posJson": "{}"}
+
+        builder = FFmpegCommandBuilder(task)
+        filter_args: list[str] = []
+
+        result_input, result_index = builder._add_effects(filter_args, "[0:v]", 1)
+
+        # 验证特效链
+        assert len(filter_args) >= 2  # 应该有两个特效的滤镜
+        assert result_input == "[v_eff2]"  # 最终输出流
+        assert result_index == 3  # 索引应该递增两次
+
+    def test_add_effects_invalid_effect(self):
+        """测试添加无效特效"""
+        task = MockRenderTask()
+        task.effects = ["invalid_effect:params"]
+
+        builder = FFmpegCommandBuilder(task)
+        filter_args: list[str] = []
+
+        result_input, result_index = builder._add_effects(filter_args, "[0:v]", 1)
+
+        # 无效特效应该被忽略
+        assert result_input == "[0:v]"  # 输入流不变
+        assert result_index == 1  # 索引不变
+
+    def test_add_effects_no_effects(self):
+        """测试无特效情况"""
+        task = MockRenderTask()
+        task.effects = []
+
+        builder = FFmpegCommandBuilder(task)
+        filter_args: list[str] = []
+
+        result_input, result_index = builder._add_effects(filter_args, "[0:v]", 1)
+
+        assert result_input == "[0:v]"  # 输入流不变
+        assert result_index == 1  # 索引不变
+        assert len(filter_args) == 0  # 无滤镜添加
+
+    def test_build_command_copy_mode(self, simple_task):
+        """测试构建复制模式命令"""
+        simple_task.input_files = ["single_file.mp4"]
+
+        builder = FFmpegCommandBuilder(simple_task)
+        command = builder.build_command()
+
+        validation = FFmpegValidator.validate_ffmpeg_command(command)
+        assert validation["valid"]
+
+        # 应该是复制模式
+        command_str = " ".join(command)
+        assert "-c copy" in command_str
+
+    def test_build_command_concat_mode(self):
+        """测试构建拼接模式命令"""
+        task = MockRenderTask()
+        task.input_files = ["file1.mp4", "file2.mp4"]
+        task.effects = []
+
+        builder = FFmpegCommandBuilder(task)
+        command = builder.build_command()
+
+        validation = FFmpegValidator.validate_ffmpeg_command(command)
+        assert validation["valid"]
+        assert validation["has_filter"]
+
+        # 应该包含拼接滤镜
+        command_str = " ".join(command)
+        assert "concat=" in command_str
+
+    def test_build_command_encode_mode(self, task_with_effects):
+        """测试构建编码模式命令"""
+        builder = FFmpegCommandBuilder(task_with_effects)
+        command = builder.build_command()
+
+        validation = FFmpegValidator.validate_ffmpeg_command(command)
+        assert validation["valid"]
+        assert validation["has_filter"]
+
+        # 应该包含编码参数和特效滤镜
+        command_str = " ".join(command)
+        assert "-c:v h264" in command_str
+
+    @patch("entity.effects.registry.get_processor")
+    def test_effect_processor_integration(self, mock_get_processor):
+        """测试与特效处理器的集成"""
+        # 模拟特效处理器
+        mock_processor = Mock()
+        mock_processor.frame_rate = 25
+        mock_processor.generate_filter_args.return_value = (
+            ["[0:v]zoompan=z=2.0:x=iw/2:y=ih/2:d=1[v_eff1]"],
+            "[v_eff1]",
+        )
+        mock_get_processor.return_value = mock_processor
+
+        task = MockRenderTask()
+        task.effects = ["zoom:0,2.0,3.0"]
+        task.frame_rate = 30
+
+        builder = FFmpegCommandBuilder(task)
+        filter_args: list[str] = []
+
+        builder._add_effects(filter_args, "[0:v]", 1)
+
+        # 验证处理器被正确调用
+        mock_processor.generate_filter_args.assert_called_once_with("[0:v]", 1)
+        assert mock_processor.frame_rate == 30  # 帧率应该被设置
+
+    def test_error_handling_missing_input(self):
+        """测试缺少输入文件的错误处理"""
+        task = MockRenderTask()
+        task.input_files = []
+
+        builder = FFmpegCommandBuilder(task)
+
+        # 构建命令时应该处理错误情况
+        # 具体的错误处理依赖于实现
+        command = builder.build_command()
+
+        # 验证至少返回了基本的ffmpeg命令结构
+        assert isinstance(command, list)
+        assert len(command) > 0

tests/test_integration/test_ffmpeg_execution.py

@@ -0,0 +1,275 @@
+"""FFmpeg执行集成测试"""
+
+import pytest
+import subprocess
+import tempfile
+import os
+from pathlib import Path
+
+from entity.ffmpeg_command_builder import FFmpegCommandBuilder
+from entity.render_task import RenderTask
+from config.settings import FFmpegConfig
+from services.render_service import DefaultRenderService
+from tests.utils.test_helpers import MockRenderTask, create_test_video_file
+
+
+@pytest.mark.integration
+class TestFFmpegExecution:
+    """FFmpeg执行集成测试"""
+
+    @pytest.fixture
+    def sample_video(self, temp_dir):
+        """创建测试视频文件"""
+        video_path = os.path.join(temp_dir, "test_input.mp4")
+        success = create_test_video_file(video_path, duration=3, resolution="320x240")
+        if not success:
+            pytest.skip("Cannot create test video file")
+        return video_path
+
+    @pytest.fixture
+    def render_service(self):
+        """渲染服务实例"""
+        return DefaultRenderService()
+
+    def test_simple_copy_execution(self, sample_video, temp_dir):
+        """测试简单复制执行"""
+        output_path = os.path.join(temp_dir, "copy_output.mp4")
+
+        task = MockRenderTask()
+        task.input_files = [sample_video]
+        task.output_path = output_path
+        task.effects = []
+
+        builder = FFmpegCommandBuilder(task)
+        command = builder.build_command()
+
+        # 执行命令
+        try:
+            result = subprocess.run(command, capture_output=True, text=True, timeout=30)
+            assert result.returncode == 0, f"FFmpeg failed: {result.stderr}"
+            assert os.path.exists(output_path), "Output file was not created"
+            assert os.path.getsize(output_path) > 0, "Output file is empty"
+        except subprocess.TimeoutExpired:
+            pytest.fail("FFmpeg execution timed out")
+
+    def test_zoom_effect_execution(self, sample_video, temp_dir):
+        """测试缩放特效执行"""
+        output_path = os.path.join(temp_dir, "zoom_output.mp4")
+
+        task = MockRenderTask()
+        task.input_files = [sample_video]
+        task.output_path = output_path
+        task.effects = ["zoom:0,2.0,2.0"]  # 2倍缩放，持续2秒
+        task.ext_data = {"posJson": "{}"}
+
+        builder = FFmpegCommandBuilder(task)
+        command = builder.build_command()
+
+        try:
+            result = subprocess.run(command, capture_output=True, text=True, timeout=60)
+            assert result.returncode == 0, f"FFmpeg failed: {result.stderr}"
+            assert os.path.exists(output_path), "Output file was not created"
+            assert os.path.getsize(output_path) > 0, "Output file is empty"
+        except subprocess.TimeoutExpired:
+            pytest.fail("FFmpeg execution timed out")
+
+    def test_speed_effect_execution(self, sample_video, temp_dir):
+        """测试变速特效执行"""
+        output_path = os.path.join(temp_dir, "speed_output.mp4")
+
+        task = MockRenderTask()
+        task.input_files = [sample_video]
+        task.output_path = output_path
+        task.effects = ["ospeed:2.0"]  # 2倍速
+        task.ext_data = {}
+
+        builder = FFmpegCommandBuilder(task)
+        command = builder.build_command()
+
+        try:
+            result = subprocess.run(command, capture_output=True, text=True, timeout=60)
+            assert result.returncode == 0, f"FFmpeg failed: {result.stderr}"
+            assert os.path.exists(output_path), "Output file was not created"
+            assert os.path.getsize(output_path) > 0, "Output file is empty"
+        except subprocess.TimeoutExpired:
+            pytest.fail("FFmpeg execution timed out")
+
+    def test_multiple_effects_execution(self, sample_video, temp_dir):
+        """测试多特效组合执行"""
+        output_path = os.path.join(temp_dir, "multi_effects_output.mp4")
+
+        task = MockRenderTask()
+        task.input_files = [sample_video]
+        task.output_path = output_path
+        task.effects = ["zoom:0,1.5,1.0", "ospeed:1.5"]  # 缩放+变速
+        task.ext_data = {"posJson": "{}"}
+
+        builder = FFmpegCommandBuilder(task)
+        command = builder.build_command()
+
+        try:
+            result = subprocess.run(command, capture_output=True, text=True, timeout=60)
+            assert result.returncode == 0, f"FFmpeg failed: {result.stderr}"
+            assert os.path.exists(output_path), "Output file was not created"
+            assert os.path.getsize(output_path) > 0, "Output file is empty"
+        except subprocess.TimeoutExpired:
+            pytest.fail("FFmpeg execution timed out")
+
+    def test_concat_execution(self, temp_dir):
+        """测试视频拼接执行"""
+        # 创建两个测试视频
+        video1_path = os.path.join(temp_dir, "video1.mp4")
+        video2_path = os.path.join(temp_dir, "video2.mp4")
+        output_path = os.path.join(temp_dir, "concat_output.mp4")
+
+        success1 = create_test_video_file(video1_path, duration=2, resolution="320x240")
+        success2 = create_test_video_file(video2_path, duration=2, resolution="320x240")
+
+        if not (success1 and success2):
+            pytest.skip("Cannot create test video files")
+
+        task = MockRenderTask()
+        task.input_files = [video1_path, video2_path]
+        task.output_path = output_path
+        task.effects = []
+
+        builder = FFmpegCommandBuilder(task)
+        command = builder.build_command()
+
+        try:
+            result = subprocess.run(command, capture_output=True, text=True, timeout=60)
+            assert result.returncode == 0, f"FFmpeg failed: {result.stderr}"
+            assert os.path.exists(output_path), "Output file was not created"
+            assert os.path.getsize(output_path) > 0, "Output file is empty"
+        except subprocess.TimeoutExpired:
+            pytest.fail("FFmpeg execution timed out")
+
+    def test_invalid_effect_execution(self, sample_video, temp_dir):
+        """测试无效特效的执行处理"""
+        output_path = os.path.join(temp_dir, "invalid_effect_output.mp4")
+
+        task = MockRenderTask()
+        task.input_files = [sample_video]
+        task.output_path = output_path
+        task.effects = ["invalid_effect:params", "zoom:0,2.0,1.0"]  # 混合有效和无效特效
+        task.ext_data = {"posJson": "{}"}
+
+        builder = FFmpegCommandBuilder(task)
+        command = builder.build_command()
+
+        # 应该忽略无效特效，继续处理有效特效
+        try:
+            result = subprocess.run(command, capture_output=True, text=True, timeout=60)
+            assert result.returncode == 0, f"FFmpeg failed: {result.stderr}"
+            assert os.path.exists(output_path), "Output file was not created"
+        except subprocess.TimeoutExpired:
+            pytest.fail("FFmpeg execution timed out")
+
+    def test_render_service_integration(self, sample_video, temp_dir, render_service):
+        """测试渲染服务集成"""
+        output_path = os.path.join(temp_dir, "service_output.mp4")
+
+        # 创建真实的RenderTask（不是Mock）
+        task_data = {
+            "task_id": "integration_test",
+            "template_id": "test_template",
+            "input_files": [sample_video],
+            "output_path": output_path,
+            "effects": ["zoom:0,1.8,2.0"],
+            "ext_data": {"posJson": "{}"},
+            "frame_rate": 25,
+        }
+
+        # 这里需要根据实际的RenderTask构造方法调整
+        task = MockRenderTask(**task_data)
+
+        # 使用渲染服务执行
+        try:
+            # 这里的方法调用需要根据实际的渲染服务接口调整
+            # success = render_service.render(task)
+            # assert success, "Render service failed"
+
+            # 临时直接使用FFmpegCommandBuilder测试
+            builder = FFmpegCommandBuilder(task)
+            command = builder.build_command()
+            result = subprocess.run(command, capture_output=True, text=True, timeout=60)
+
+            assert result.returncode == 0, f"Render failed: {result.stderr}"
+            assert os.path.exists(output_path), "Output file was not created"
+
+        except Exception as e:
+            pytest.fail(f"Render service integration failed: {e}")
+
+    def test_error_handling_missing_input(self, temp_dir):
+        """测试缺失输入文件的错误处理"""
+        missing_file = os.path.join(temp_dir, "nonexistent.mp4")
+        output_path = os.path.join(temp_dir, "error_output.mp4")
+
+        task = MockRenderTask()
+        task.input_files = [missing_file]
+        task.output_path = output_path
+        task.effects = []
+
+        builder = FFmpegCommandBuilder(task)
+        command = builder.build_command()
+
+        # 应该失败，因为输入文件不存在
+        result = subprocess.run(command, capture_output=True, text=True, timeout=30)
+        assert result.returncode != 0, "FFmpeg should fail with missing input file"
+
+    def test_performance_multiple_effects(self, sample_video, temp_dir):
+        """测试多特效性能"""
+        output_path = os.path.join(temp_dir, "performance_output.mp4")
+
+        task = MockRenderTask()
+        task.input_files = [sample_video]
+        task.output_path = output_path
+        # 多个特效组合
+        task.effects = ["zoom:0,1.5,1.0", "ospeed:1.2", "zoom:1.5,2.0,1.0"]
+        task.ext_data = {"posJson": "{}"}
+
+        builder = FFmpegCommandBuilder(task)
+        command = builder.build_command()
+
+        import time
+
+        start_time = time.time()
+
+        try:
+            result = subprocess.run(
+                command, capture_output=True, text=True, timeout=120
+            )
+            execution_time = time.time() - start_time
+
+            assert result.returncode == 0, f"FFmpeg failed: {result.stderr}"
+            assert os.path.exists(output_path), "Output file was not created"
+            assert execution_time < 60, f"Execution took too long: {execution_time}s"
+
+        except subprocess.TimeoutExpired:
+            pytest.fail("FFmpeg execution timed out")
+
+    @pytest.mark.skipif(
+        not os.environ.get("RUN_STRESS_TESTS"), reason="Stress tests disabled"
+    )
+    def test_stress_test_large_effects_chain(self, sample_video, temp_dir):
+        """压力测试：大量特效链"""
+        output_path = os.path.join(temp_dir, "stress_output.mp4")
+
+        task = MockRenderTask()
+        task.input_files = [sample_video]
+        task.output_path = output_path
+        # 创建大量特效
+        task.effects = [f"zoom:{i*0.5},1.{i+5},{i*0.2+0.5}" for i in range(10)]
+        task.ext_data = {"posJson": "{}"}
+
+        builder = FFmpegCommandBuilder(task)
+        command = builder.build_command()
+
+        try:
+            result = subprocess.run(
+                command, capture_output=True, text=True, timeout=300
+            )
+            assert result.returncode == 0, f"Stress test failed: {result.stderr}"
+            assert os.path.exists(output_path), "Output file was not created"
+        except subprocess.TimeoutExpired:
+            pytest.fail("Stress test timed out")

tests/unit/test_material_cache_lock.py

@@ -1,15 +0,0 @@
-# -*- coding: utf-8 -*-
-
-import os
-
-from services.cache import MaterialCache, _extract_cache_key
-
-
-def test_cache_lock_acquire_release(tmp_path):
-    cache = MaterialCache(cache_dir=str(tmp_path), enabled=True, max_size_gb=0)
-    cache_key = _extract_cache_key("https://example.com/path/file.mp4?token=abc")
-    lock_path = cache._acquire_lock(cache_key)
-    assert lock_path
-    assert os.path.exists(lock_path)
-    cache._release_lock(lock_path)
-    assert not os.path.exists(lock_path)

tests/utils/test_helpers.py

@@ -0,0 +1,241 @@
+"""测试辅助工具"""
+
+import json
+import tempfile
+import subprocess
+from typing import Dict, Any, List, Optional
+from pathlib import Path
+
+from entity.render_task import RenderTask
+from entity.effects.base import EffectProcessor
+from config.settings import FFmpegConfig
+
+
+class MockRenderTask:
+    """模拟渲染任务，用于测试"""
+
+    def __init__(
+        self,
+        input_files: Optional[List[str]] = None,
+        output_file: str = "test_output.mp4",
+        effects: Optional[List[str]] = None,
+        ext_data: Optional[Dict[str, Any]] = None,
+        frame_rate: int = 25,
+    ):
+        # RenderTask required fields
+        self.input_files = input_files or []
+        self.output_file = output_file
+        self.task_type = "copy"  # TaskType.COPY equivalent
+
+        # Optional fields that match RenderTask
+        self.resolution = None
+        self.frame_rate = frame_rate
+        self.speed = 1.0
+        self.mute = True
+        self.annexb = False
+
+        # Cut parameters
+        self.zoom_cut = None
+        self.center_cut = None
+
+        # Resource lists
+        self.subtitles: List[str] = []
+        self.luts: List[str] = []
+        self.audios: List[str] = []
+        self.overlays: List[str] = []
+        self.effects = effects or []
+
+        # Extension data
+        self.ext_data = ext_data or {}
+
+        # Legacy compatibility
+        self.task_id = "test_task"
+        self.template_id = "test_template"
+        self.use_center_cut = False
+        self.use_zoom_cut = False
+        self.audio_file = None
+
+
+class FFmpegValidator:
+    """FFmpeg命令验证器"""
+
+    @staticmethod
+    def validate_filter_syntax(filter_str: str) -> bool:
+        """验证滤镜语法是否正确"""
+        try:
+            # 基本语法检查
+            if not filter_str:
+                return False
+
+            # 检查是否包含基本的滤镜结构
+            if "[" in filter_str and "]" in filter_str:
+                return True
+
+            # 检查常见的滤镜格式
+            common_filters = ["zoompan", "setpts", "trim", "scale", "crop"]
+            return any(f in filter_str for f in common_filters)
+
+        except Exception:
+            return False
+
+    @staticmethod
+    def validate_stream_identifier(stream_id: str) -> bool:
+        """验证流标识符格式"""
+        if not stream_id:
+            return False
+        return stream_id.startswith("[") and stream_id.endswith("]")
+
+    @staticmethod
+    def validate_ffmpeg_command(command: List[str]) -> Dict[str, Any]:
+        """验证完整的FFmpeg命令"""
+        result = {
+            "valid": False,
+            "has_input": False,
+            "has_output": False,
+            "has_filter": False,
+            "errors": [],
+        }
+
+        if not command or command[0] != "ffmpeg":
+            result["errors"].append("Command must start with 'ffmpeg'")
+            return result
+
+        # 检查输入文件
+        if "-i" in command:
+            result["has_input"] = True
+        else:
+            result["errors"].append("No input file specified")
+
+        # 检查输出文件
+        if len(command) > 1 and not command[-1].startswith("-"):
+            result["has_output"] = True
+        else:
+            result["errors"].append("No output file specified")
+
+        # 检查滤镜
+        if "-filter_complex" in command or "-vf" in command:
+            result["has_filter"] = True
+
+        result["valid"] = (
+            result["has_input"] and result["has_output"] and len(result["errors"]) == 0
+        )
+
+        return result
+
+
+class EffectTestHelper:
+    """特效测试辅助类"""
+
+    @staticmethod
+    def create_test_effect(
+        effect_class, params: str = "", ext_data: Dict[str, Any] = None
+    ):
+        """创建测试用特效实例"""
+        return effect_class(params, ext_data)
+
+    @staticmethod
+    def test_effect_params_validation(
+        effect: EffectProcessor, test_cases: List[Dict[str, Any]]
+    ):
+        """批量测试特效参数验证"""
+        results = []
+        for case in test_cases:
+            effect.params = case.get("params", "")
+            effect.ext_data = case.get("ext_data", {})
+
+            is_valid = effect.validate_params()
+            expected = case.get("expected", True)
+
+            results.append(
+                {
+                    "params": effect.params,
+                    "expected": expected,
+                    "actual": is_valid,
+                    "passed": is_valid == expected,
+                    "description": case.get("description", ""),
+                }
+            )
+
+        return results
+
+    @staticmethod
+    def test_filter_generation(
+        effect: EffectProcessor, video_input: str = "[0:v]", effect_index: int = 1
+    ):
+        """测试滤镜生成"""
+        try:
+            filters, output_stream = effect.generate_filter_args(
+                video_input, effect_index
+            )
+
+            result = {
+                "success": True,
+                "filters": filters,
+                "output_stream": output_stream,
+                "filter_count": len(filters),
+                "valid_syntax": all(
+                    FFmpegValidator.validate_filter_syntax(f) for f in filters
+                ),
+                "valid_output": (
+                    FFmpegValidator.validate_stream_identifier(output_stream)
+                    if output_stream != video_input
+                    else True
+                ),
+            }
+        except Exception as e:
+            result = {
+                "success": False,
+                "error": str(e),
+                "filters": [],
+                "output_stream": "",
+                "filter_count": 0,
+                "valid_syntax": False,
+                "valid_output": False,
+            }
+
+        return result
+
+
+def create_test_video_file(
+    output_path: str, duration: int = 5, resolution: str = "640x480"
+) -> bool:
+    """创建测试用视频文件"""
+    try:
+        cmd = [
+            "ffmpeg",
+            "-y",  # 覆盖输出文件
+            "-f",
+            "lavfi",  # 使用libavfilter输入
+            "-i",
+            f"testsrc=duration={duration}:size={resolution}:rate=25",
+            "-c:v",
+            "libx264",
+            "-preset",
+            "ultrafast",
+            "-crf",
+            "23",
+            output_path,
+        ]
+
+        result = subprocess.run(cmd, capture_output=True, text=True)
+        return result.returncode == 0
+
+    except Exception:
+        return False
+
+
+def create_sample_template_data() -> Dict[str, Any]:
+    """创建示例模板数据"""
+    return {
+        "templateId": "test_template_001",
+        "name": "测试模板",
+        "parts": [
+            {
+                "id": "part1",
+                "type": "video",
+                "duration": 10.0,
+                "effects": ["zoom:0,2.0,3.0", "ospeed:1.5"],
+            }
+        ],
+        "settings": {"width": 1920, "height": 1080, "frameRate": 25},
+    }

util/__init__.py

@@ -1,15 +0,0 @@
-# -*- coding: utf-8 -*-
-"""
-工具模块
-
-提供系统信息采集等工具函数。
-"""
-
-from util.system import get_sys_info, get_capabilities, get_gpu_info, get_ffmpeg_version
-
-__all__ = [
-    'get_sys_info',
-    'get_capabilities',
-    'get_gpu_info',
-    'get_ffmpeg_version',
-]

util/api.py

@@ -0,0 +1,344 @@
+import json
+import logging
+import os
+import threading
+import time
+from urllib3.util.retry import Retry
+from requests.adapters import HTTPAdapter
+
+import requests
+from opentelemetry.trace import Status, StatusCode
+
+import util.system
+from telemetry import get_tracer
+from util import oss
+
+# 创建带有连接池和重试策略的会话
+session = requests.Session()
+
+# 配置重试策略
+retry_strategy = Retry(
+    total=3,
+    status_forcelist=[429, 500, 502, 503, 504],
+    backoff_factor=1,
+    respect_retry_after_header=True,
+)
+
+# 配置HTTP适配器（连接池）
+adapter = HTTPAdapter(pool_connections=10, pool_maxsize=20, max_retries=retry_strategy)
+
+session.mount("http://", adapter)
+session.mount("https://", adapter)
+
+# 设置默认超时
+session.timeout = 30
+
+logger = logging.getLogger(__name__)
+
+
+def normalize_task(task_info):
+    ...
+    return task_info
+
+
+def sync_center():
+    """
+    通过接口获取任务
+    :return: 任务列表
+    """
+    from services import DefaultTemplateService
+
+    template_service = DefaultTemplateService()
+    try:
+        response = session.post(
+            os.getenv("API_ENDPOINT") + "/sync",
+            json={
+                "accessKey": os.getenv("ACCESS_KEY"),
+                "clientStatus": util.system.get_sys_info(),
+                "templateList": [
+                    {"id": t.get("id", ""), "updateTime": t.get("updateTime", "")}
+                    for t in template_service.templates.values()
+                ],
+            },
+            timeout=10,
+        )
+        response.raise_for_status()
+    except requests.RequestException as e:
+        logger.error("请求失败！", e)
+        return []
+    data = response.json()
+    logger.debug("获取任务结果：【%s】", data)
+    if data.get("code", 0) == 200:
+        templates = data.get("data", {}).get("templates", [])
+        tasks = data.get("data", {}).get("tasks", [])
+    else:
+        tasks = []
+        templates = []
+        logger.warning("获取任务失败")
+    if os.getenv("REDIRECT_TO_URL", False) != False:
+        for task in tasks:
+            _sess = requests.Session()
+            logger.info(
+                "重定向任务【%s】至配置的地址：%s",
+                task.get("id"),
+                os.getenv("REDIRECT_TO_URL"),
+            )
+            url = f"{os.getenv('REDIRECT_TO_URL')}{task.get('id')}"
+            threading.Thread(target=requests.post, args=(url,)).start()
+        return []
+    for template in templates:
+        template_id = template.get("id", "")
+        if template_id:
+            logger.info("更新模板：【%s】", template_id)
+            template_service.download_template(template_id)
+    return tasks
+
+
+def get_template_info(template_id):
+    """
+    通过接口获取模板信息
+    :rtype: Template
+    :param template_id: 模板id
+    :type template_id: str
+    :return: 模板信息
+    """
+    tracer = get_tracer(__name__)
+    with tracer.start_as_current_span("get_template_info"):
+        with tracer.start_as_current_span("get_template_info.request") as req_span:
+            try:
+                req_span.set_attribute("http.method", "POST")
+                req_span.set_attribute(
+                    "http.url",
+                    "{0}/template/{1}".format(os.getenv("API_ENDPOINT"), template_id),
+                )
+                response = session.post(
+                    "{0}/template/{1}".format(os.getenv("API_ENDPOINT"), template_id),
+                    json={
+                        "accessKey": os.getenv("ACCESS_KEY"),
+                    },
+                    timeout=10,
+                )
+                req_span.set_attribute("http.status_code", response.status_code)
+                req_span.set_attribute("http.response", response.text)
+                response.raise_for_status()
+            except requests.RequestException as e:
+                req_span.set_attribute("api.error", str(e))
+                logger.error("请求失败！", e)
+                return None
+        data = response.json()
+        logger.debug("获取模板信息结果：【%s】", data)
+        remote_template_info = data.get("data", {})
+        if not remote_template_info:
+            logger.warning("获取模板信息结果为空", data)
+            return None
+        template = {
+            "id": template_id,
+            "updateTime": remote_template_info.get("updateTime", template_id),
+            "scenic_name": remote_template_info.get("scenicName", "景区"),
+            "name": remote_template_info.get("name", "模版"),
+            "video_size": remote_template_info.get("resolution", "1920x1080"),
+            "frame_rate": 25,
+            "overall_duration": 30,
+            "video_parts": [],
+        }
+
+        def _template_normalizer(template_info):
+            _template = {}
+            _placeholder_type = template_info.get("isPlaceholder", -1)
+            if _placeholder_type == 0:
+                # 固定视频
+                _template["source"] = template_info.get("sourceUrl", "")
+            elif _placeholder_type == 1:
+                # 占位符
+                _template["source"] = "PLACEHOLDER_" + template_info.get(
+                    "sourceUrl", ""
+                )
+                _template["mute"] = template_info.get("mute", True)
+                _template["crop_mode"] = template_info.get("cropEnable", None)
+                _template["zoom_cut"] = template_info.get("zoomCut", None)
+            else:
+                _template["source"] = None
+            _overlays = template_info.get("overlays", "")
+            if _overlays:
+                _template["overlays"] = _overlays.split(",")
+            _audios = template_info.get("audios", "")
+            if _audios:
+                _template["audios"] = _audios.split(",")
+            _luts = template_info.get("luts", "")
+            if _luts:
+                _template["luts"] = _luts.split(",")
+            _only_if = template_info.get("onlyIf", "")
+            if _only_if:
+                _template["only_if"] = _only_if
+            _effects = template_info.get("effects", "")
+            if _effects:
+                _template["effects"] = _effects.split("|")
+            return _template
+
+        # outer template definition
+        overall_template = _template_normalizer(remote_template_info)
+        template["overall_template"] = overall_template
+        # inter template definition
+        inter_template_list = remote_template_info.get("children", [])
+        for children_template in inter_template_list:
+            parts = _template_normalizer(children_template)
+            template["video_parts"].append(parts)
+        template["local_path"] = os.path.join(
+            os.getenv("TEMPLATE_DIR"), str(template_id)
+        )
+        with get_tracer("api").start_as_current_span(
+            "get_template_info.template"
+        ) as res_span:
+            res_span.set_attribute("normalized.response", json.dumps(template))
+        return template
+
+
+def report_task_success(task_info, **kwargs):
+    tracer = get_tracer(__name__)
+    with tracer.start_as_current_span("report_task_success"):
+        with tracer.start_as_current_span("report_task_success.request") as req_span:
+            try:
+                req_span.set_attribute("http.method", "POST")
+                req_span.set_attribute(
+                    "http.url",
+                    "{0}/{1}/success".format(
+                        os.getenv("API_ENDPOINT"), task_info.get("id")
+                    ),
+                )
+                response = session.post(
+                    "{0}/{1}/success".format(
+                        os.getenv("API_ENDPOINT"), task_info.get("id")
+                    ),
+                    json={"accessKey": os.getenv("ACCESS_KEY"), **kwargs},
+                    timeout=10,
+                )
+                req_span.set_attribute("http.status_code", response.status_code)
+                req_span.set_attribute("http.response", response.text)
+                response.raise_for_status()
+                req_span.set_status(Status(StatusCode.OK))
+            except requests.RequestException as e:
+                req_span.set_attribute("api.error", str(e))
+                logger.error("请求失败！", e)
+                return None
+
+
+def report_task_start(task_info):
+    tracer = get_tracer(__name__)
+    with tracer.start_as_current_span("report_task_start"):
+        with tracer.start_as_current_span("report_task_start.request") as req_span:
+            try:
+                req_span.set_attribute("http.method", "POST")
+                req_span.set_attribute(
+                    "http.url",
+                    "{0}/{1}/start".format(
+                        os.getenv("API_ENDPOINT"), task_info.get("id")
+                    ),
+                )
+                response = session.post(
+                    "{0}/{1}/start".format(
+                        os.getenv("API_ENDPOINT"), task_info.get("id")
+                    ),
+                    json={
+                        "accessKey": os.getenv("ACCESS_KEY"),
+                    },
+                    timeout=10,
+                )
+                req_span.set_attribute("http.status_code", response.status_code)
+                req_span.set_attribute("http.response", response.text)
+                response.raise_for_status()
+                req_span.set_status(Status(StatusCode.OK))
+            except requests.RequestException as e:
+                req_span.set_attribute("api.error", str(e))
+                logger.error("请求失败！", e)
+                return None
+
+
+def report_task_failed(task_info, reason=""):
+    tracer = get_tracer(__name__)
+    with tracer.start_as_current_span("report_task_failed") as span:
+        span.set_attribute("task_id", task_info.get("id"))
+        span.set_attribute("reason", reason)
+        with tracer.start_as_current_span("report_task_failed.request") as req_span:
+            try:
+                req_span.set_attribute("http.method", "POST")
+                req_span.set_attribute(
+                    "http.url",
+                    "{0}/{1}/fail".format(
+                        os.getenv("API_ENDPOINT"), task_info.get("id")
+                    ),
+                )
+                response = session.post(
+                    "{0}/{1}/fail".format(
+                        os.getenv("API_ENDPOINT"), task_info.get("id")
+                    ),
+                    json={"accessKey": os.getenv("ACCESS_KEY"), "reason": reason},
+                    timeout=10,
+                )
+                req_span.set_attribute("http.status_code", response.status_code)
+                req_span.set_attribute("http.response", response.text)
+                response.raise_for_status()
+                req_span.set_status(Status(StatusCode.OK))
+            except requests.RequestException as e:
+                req_span.set_attribute("api.error", str(e))
+                req_span.set_status(Status(StatusCode.ERROR))
+                logger.error("请求失败！", e)
+                return None
+
+
+def upload_task_file(task_info, ffmpeg_task):
+    tracer = get_tracer(__name__)
+    with get_tracer("api").start_as_current_span("upload_task_file") as span:
+        logger.info("开始上传文件: %s", task_info.get("id"))
+        span.set_attribute("file.id", task_info.get("id"))
+        with tracer.start_as_current_span(
+            "upload_task_file.request_upload_url"
+        ) as req_span:
+            try:
+                req_span.set_attribute("http.method", "POST")
+                req_span.set_attribute(
+                    "http.url",
+                    "{0}/{1}/uploadUrl".format(
+                        os.getenv("API_ENDPOINT"), task_info.get("id")
+                    ),
+                )
+                response = session.post(
+                    "{0}/{1}/uploadUrl".format(
+                        os.getenv("API_ENDPOINT"), task_info.get("id")
+                    ),
+                    json={
+                        "accessKey": os.getenv("ACCESS_KEY"),
+                    },
+                    timeout=10,
+                )
+                req_span.set_attribute("http.status_code", response.status_code)
+                req_span.set_attribute("http.response", response.text)
+                response.raise_for_status()
+                req_span.set_status(Status(StatusCode.OK))
+            except requests.RequestException as e:
+                span.set_attribute("api.error", str(e))
+                req_span.set_status(Status(StatusCode.ERROR))
+                logger.error("请求失败！", e)
+                return False
+        data = response.json()
+        url = data.get("data", "")
+        logger.info("开始上传文件: %s 至 %s", task_info.get("id"), url)
+        return oss.upload_to_oss(url, ffmpeg_task.get_output_file())
+
+
+def get_task_info(id):
+    try:
+        response = session.get(
+            os.getenv("API_ENDPOINT") + "/" + id + "/info",
+            params={
+                "accessKey": os.getenv("ACCESS_KEY"),
+            },
+            timeout=10,
+        )
+        response.raise_for_status()
+    except requests.RequestException as e:
+        logger.error("请求失败！", e)
+        return []
+    data = response.json()
+    logger.debug("获取任务结果：【%s】", data)
+    if data.get("code", 0) == 200:
+        return data.get("data", {})

util/exceptions.py

@@ -0,0 +1,113 @@
+from typing import Optional
+
+class RenderWorkerError(Exception):
+    """RenderWorker基础异常类"""
+
+    def __init__(self, message: str, error_code: Optional[str] = None):
+        super().__init__(message)
+        self.message = message
+        self.error_code = error_code or self.__class__.__name__
+
+
+class ConfigurationError(RenderWorkerError):
+    """配置错误"""
+
+    pass
+
+
+class TemplateError(RenderWorkerError):
+    """模板相关错误"""
+
+    pass
+
+
+class TemplateNotFoundError(TemplateError):
+    """模板未找到错误"""
+
+    pass
+
+
+class TemplateValidationError(TemplateError):
+    """模板验证错误"""
+
+    pass
+
+
+class TaskError(RenderWorkerError):
+    """任务处理错误"""
+
+    pass
+
+
+class TaskValidationError(TaskError):
+    """任务参数验证错误"""
+
+    pass
+
+
+class RenderError(RenderWorkerError):
+    """渲染处理错误"""
+
+    pass
+
+
+class FFmpegError(RenderError):
+    """FFmpeg执行错误"""
+
+    def __init__(
+        self,
+        message: str,
+        command: Optional[list] = None,
+        return_code: Optional[int] = None,
+        stderr: Optional[str] = None,
+    ):
+        super().__init__(message)
+        self.command = command
+        self.return_code = return_code
+        self.stderr = stderr
+
+
+class EffectError(RenderError):
+    """效果处理错误"""
+
+    def __init__(
+        self, message: str, effect_name: Optional[str] = None, effect_params: Optional[str] = None
+    ):
+        super().__init__(message)
+        self.effect_name = effect_name
+        self.effect_params = effect_params
+
+
+class StorageError(RenderWorkerError):
+    """存储相关错误"""
+
+    pass
+
+
+class APIError(RenderWorkerError):
+    """API调用错误"""
+
+    def __init__(
+        self, message: str, status_code: Optional[int] = None, response_body: Optional[str] = None
+    ):
+        super().__init__(message)
+        self.status_code = status_code
+        self.response_body = response_body
+
+
+class ResourceError(RenderWorkerError):
+    """资源相关错误"""
+
+    pass
+
+
+class ResourceNotFoundError(ResourceError):
+    """资源未找到错误"""
+
+    pass
+
+
+class DownloadError(ResourceError):
+    """下载错误"""
+
+    pass

util/ffmpeg.py

@@ -0,0 +1,298 @@
+import json
+import logging
+import os
+import subprocess
+from datetime import datetime
+from typing import Optional, IO
+
+from opentelemetry.trace import Status, StatusCode
+
+from entity.ffmpeg import (
+    FfmpegTask,
+    ENCODER_ARGS,
+    VIDEO_ARGS,
+    AUDIO_ARGS,
+    MUTE_AUDIO_INPUT,
+    get_mp4toannexb_filter,
+)
+from telemetry import get_tracer
+
+logger = logging.getLogger(__name__)
+
+
+def re_encode_and_annexb(file):
+    with get_tracer("ffmpeg").start_as_current_span("re_encode_and_annexb") as span:
+        span.set_attribute("file.path", file)
+        if not os.path.exists(file):
+            span.set_status(Status(StatusCode.ERROR))
+            return file
+        logger.info("ReEncodeAndAnnexb: %s", file)
+        has_audio = not not probe_video_audio(file)
+        # 优先使用RE_ENCODE_VIDEO_ARGS环境变量，其次使用默认的VIDEO_ARGS
+        if os.getenv("RE_ENCODE_VIDEO_ARGS", False):
+            _video_args = tuple(os.getenv("RE_ENCODE_VIDEO_ARGS", "").split(" "))
+        else:
+            _video_args = VIDEO_ARGS
+        # 优先使用RE_ENCODE_ENCODER_ARGS环境变量，其次使用默认的ENCODER_ARGS
+        if os.getenv("RE_ENCODE_ENCODER_ARGS", False):
+            _encoder_args = tuple(os.getenv("RE_ENCODE_ENCODER_ARGS", "").split(" "))
+        else:
+            _encoder_args = ENCODER_ARGS
+        ffmpeg_process = subprocess.run(
+            [
+                "ffmpeg",
+                "-y",
+                "-hide_banner",
+                "-i",
+                file,
+                *(set() if has_audio else MUTE_AUDIO_INPUT),
+                "-fps_mode",
+                "cfr",
+                "-map",
+                "0:v",
+                "-map",
+                "0:a" if has_audio else "1:a",
+                *_video_args,
+                "-bsf:v",
+                get_mp4toannexb_filter(),
+                *AUDIO_ARGS,
+                "-bsf:a",
+                "setts=pts=DTS",
+                *_encoder_args,
+                "-shortest",
+                "-fflags",
+                "+genpts",
+                "-f",
+                "mpegts",
+                file + ".ts",
+            ]
+        )
+        logger.info(" ".join(ffmpeg_process.args))
+        span.set_attribute("ffmpeg.args", json.dumps(ffmpeg_process.args))
+        logger.info(
+            "ReEncodeAndAnnexb: %s, returned: %s", file, ffmpeg_process.returncode
+        )
+        span.set_attribute("ffmpeg.code", ffmpeg_process.returncode)
+        if ffmpeg_process.returncode == 0:
+            span.set_status(Status(StatusCode.OK))
+            span.set_attribute("file.size", os.path.getsize(file + ".ts"))
+            # os.remove(file)
+            return file + ".ts"
+        else:
+            span.set_status(Status(StatusCode.ERROR))
+            return file
+
+
+# start_render函数已迁移到services/render_service.py中的DefaultRenderService
+# 保留原有签名用于向后兼容，但建议使用新的服务架构
+
+
+def start_render(ffmpeg_task):
+    """
+    已迁移到新架构，建议使用 DefaultRenderService.render()
+    保留用于向后兼容
+    """
+    logger.warning(
+        "start_render is deprecated, use DefaultRenderService.render() instead"
+    )
+    from services import DefaultRenderService
+
+    render_service = DefaultRenderService()
+    return render_service.render(ffmpeg_task)
+
+
+def handle_ffmpeg_output(stdout: Optional[bytes]) -> str:
+    out_time = "0:0:0.0"
+    if stdout is None:
+        print("[!]STDOUT is null")
+        return out_time
+    speed = "0"
+    for line in stdout.split(b"\n"):
+        if line == b"":
+            break
+        if line.strip() == b"progress=end":
+            # 处理完毕
+            break
+        if line.startswith(b"out_time="):
+            out_time = line.replace(b"out_time=", b"").decode().strip()
+        if line.startswith(b"speed="):
+            speed = line.replace(b"speed=", b"").decode().strip()
+    print("[ ]Speed:", out_time, "@", speed)
+    return out_time + "@" + speed
+
+
+def duration_str_to_float(duration_str: str) -> float:
+    _duration = datetime.strptime(duration_str, "%H:%M:%S.%f") - datetime(1900, 1, 1)
+    return _duration.total_seconds()
+
+
+def probe_video_info(video_file):
+    tracer = get_tracer(__name__)
+    with tracer.start_as_current_span("probe_video_info") as span:
+        span.set_attribute("video.file", video_file)
+        # 获取宽度和高度
+        result = subprocess.run(
+            [
+                "ffprobe",
+                "-v",
+                "error",
+                "-select_streams",
+                "v:0",
+                "-show_entries",
+                "stream=width,height:format=duration",
+                "-of",
+                "csv=s=x:p=0",
+                video_file,
+            ],
+            stderr=subprocess.STDOUT,
+            **subprocess_args(True)
+        )
+        span.set_attribute("ffprobe.args", json.dumps(result.args))
+        span.set_attribute("ffprobe.code", result.returncode)
+        if result.returncode != 0:
+            span.set_status(Status(StatusCode.ERROR))
+            return 0, 0, 0
+        all_result = result.stdout.decode("utf-8").strip()
+        span.set_attribute("ffprobe.out", all_result)
+        if all_result == "":
+            span.set_status(Status(StatusCode.ERROR))
+            return 0, 0, 0
+        span.set_status(Status(StatusCode.OK))
+        wh, duration = all_result.split("\n")
+        width, height = wh.strip().split("x")
+        return int(width), int(height), float(duration)
+
+
+def probe_video_audio(video_file, type=None):
+    tracer = get_tracer(__name__)
+    with tracer.start_as_current_span("probe_video_audio") as span:
+        span.set_attribute("video.file", video_file)
+        args = [
+            "ffprobe",
+            "-hide_banner",
+            "-v",
+            "error",
+            "-select_streams",
+            "a",
+            "-show_entries",
+            "stream=index",
+            "-of",
+            "csv=p=0",
+        ]
+        if type == "concat":
+            args.append("-safe")
+            args.append("0")
+            args.append("-f")
+            args.append("concat")
+        args.append(video_file)
+        logger.info(" ".join(args))
+        result = subprocess.run(args, stderr=subprocess.STDOUT, **subprocess_args(True))
+        span.set_attribute("ffprobe.args", json.dumps(result.args))
+        span.set_attribute("ffprobe.code", result.returncode)
+        logger.info("probe_video_audio: %s", result.stdout.decode("utf-8").strip())
+        if result.returncode != 0:
+            return False
+        if result.stdout.decode("utf-8").strip() == "":
+            return False
+        return True
+
+
+# 音频淡出2秒
+def fade_out_audio(file, duration, fade_out_sec=2):
+    if type(duration) == str:
+        try:
+            duration = float(duration)
+        except Exception as e:
+            logger.error("duration is not float: %s", e)
+            return file
+    tracer = get_tracer(__name__)
+    with tracer.start_as_current_span("fade_out_audio") as span:
+        span.set_attribute("audio.file", file)
+        if duration <= fade_out_sec:
+            return file
+        else:
+            new_fn = file + "_.mp4"
+            if os.path.exists(new_fn):
+                os.remove(new_fn)
+                logger.info("delete tmp file: " + new_fn)
+            try:
+                process = subprocess.run(
+                    [
+                        "ffmpeg",
+                        "-i",
+                        file,
+                        "-c:v",
+                        "copy",
+                        "-c:a",
+                        "aac",
+                        "-af",
+                        "afade=t=out:st="
+                        + str(duration - fade_out_sec)
+                        + ":d="
+                        + str(fade_out_sec),
+                        "-y",
+                        new_fn,
+                    ],
+                    **subprocess_args(True)
+                )
+                span.set_attribute("ffmpeg.args", json.dumps(process.args))
+                logger.info(" ".join(process.args))
+                if process.returncode != 0:
+                    span.set_status(Status(StatusCode.ERROR))
+                    logger.error("FFMPEG ERROR: %s", process.stderr)
+                    return file
+                else:
+                    span.set_status(Status(StatusCode.OK))
+                    return new_fn
+            except Exception as e:
+                span.set_status(Status(StatusCode.ERROR))
+                logger.error("FFMPEG ERROR: %s", e)
+                return file
+
+
+# Create a set of arguments which make a ``subprocess.Popen`` (and
+# variants) call work with or without Pyinstaller, ``--noconsole`` or
+# not, on Windows and Linux. Typical use::
+#
+#   subprocess.call(['program_to_run', 'arg_1'], **subprocess_args())
+#
+# When calling ``check_output``::
+#
+#   subprocess.check_output(['program_to_run', 'arg_1'],
+#                           **subprocess_args(False))
+def subprocess_args(include_stdout=True):
+    # The following is true only on Windows.
+    if hasattr(subprocess, "STARTUPINFO"):
+        # On Windows, subprocess calls will pop up a command window by default
+        # when run from Pyinstaller with the ``--noconsole`` option. Avoid this
+        # distraction.
+        si = subprocess.STARTUPINFO()
+        si.dwFlags |= subprocess.STARTF_USESHOWWINDOW
+        # Windows doesn't search the path by default. Pass it an environment so
+        # it will.
+        env = os.environ
+    else:
+        si = None
+        env = None
+
+    # ``subprocess.check_output`` doesn't allow specifying ``stdout``::
+    #
+    #   Traceback (most recent call last):
+    #     File "test_subprocess.py", line 58, in <module>
+    #       **subprocess_args(stdout=None))
+    #     File "C:\Python27\lib\subprocess.py", line 567, in check_output
+    #       raise ValueError('stdout argument not allowed, it will be overridden.')
+    #   ValueError: stdout argument not allowed, it will be overridden.
+    #
+    # So, add it only if it's needed.
+    if include_stdout:
+        ret = {"stdout": subprocess.PIPE}
+    else:
+        ret = {}
+
+    # On Windows, running this from the binary produced by Pyinstaller
+    # with the ``--noconsole`` option requires redirecting everything
+    # (stdin, stdout, stderr) to avoid an OSError exception
+    # "[Error 6] the handle is invalid."
+    ret.update({"stdin": subprocess.PIPE, "startupinfo": si, "env": env})
+    return ret

util/ffmpeg_utils.py

@@ -0,0 +1,161 @@
+"""
+FFmpeg工具模块 - 提供FFmpeg命令构建和处理的公共函数
+"""
+
+import logging
+from typing import List, Tuple, Optional
+from config.settings import get_ffmpeg_config
+
+logger = logging.getLogger(__name__)
+
+
+def build_base_ffmpeg_args() -> List[str]:
+    """
+    构建基础FFmpeg参数
+
+    Returns:
+        基础参数列表
+    """
+    config = get_ffmpeg_config()
+    args = ["ffmpeg", "-y", "-hide_banner"]
+    args.extend(config.progress_args)
+    args.extend(config.loglevel_args)
+    return args
+
+
+def build_null_audio_input() -> List[str]:
+    """
+    构建空音频输入参数
+
+    Returns:
+        空音频输入参数列表
+    """
+    config = get_ffmpeg_config()
+    return config.null_audio_args
+
+
+def build_amix_filter(input1: str, input2: str, output: str) -> str:
+    """
+    构建音频混合滤镜
+
+    Args:
+        input1: 第一个音频输入
+        input2: 第二个音频输入
+        output: 输出流名称
+
+    Returns:
+        混合滤镜字符串
+    """
+    config = get_ffmpeg_config()
+    return f"{input1}[{input2}]{config.amix_args[0]}[{output}]"
+
+
+def build_overlay_scale_filter(
+    video_input: str, overlay_input: str, output: str
+) -> str:
+    """
+    构建覆盖层缩放滤镜
+
+    Args:
+        video_input: 视频输入流
+        overlay_input: 覆盖层输入流
+        output: 输出流名称
+
+    Returns:
+        缩放滤镜字符串
+    """
+    config = get_ffmpeg_config()
+    if config.overlay_scale_mode == "scale":
+        return f"{video_input}[{overlay_input}]scale=iw:ih[{output}]"
+    else:
+        return (
+            f"{video_input}[{overlay_input}]{config.overlay_scale_mode}=iw:ih[{output}]"
+        )
+
+
+def get_annexb_filter() -> str:
+    """
+    获取annexb转换滤镜
+
+    Returns:
+        annexb滤镜名称
+    """
+    config = get_ffmpeg_config()
+    encoder_args_str = " ".join(config.encoder_args).lower()
+    if "hevc" in encoder_args_str:
+        return "hevc_mp4toannexb"
+    return "h264_mp4toannexb"
+
+
+def build_standard_output_args() -> List[str]:
+    """
+    构建标准输出参数
+
+    Returns:
+        输出参数列表
+    """
+    config = get_ffmpeg_config()
+    return [
+        *config.video_args,
+        *config.audio_args,
+        *config.encoder_args,
+        *config.default_args,
+    ]
+
+
+def validate_ffmpeg_file_extensions(file_path: str) -> bool:
+    """
+    验证文件扩展名是否为FFmpeg支持的格式
+
+    Args:
+        file_path: 文件路径
+
+    Returns:
+        是否为支持的格式
+    """
+    supported_extensions = {
+        ".mp4",
+        ".avi",
+        ".mov",
+        ".mkv",
+        ".flv",
+        ".wmv",
+        ".webm",
+        ".ts",
+        ".m2ts",
+        ".mts",
+        ".m4v",
+        ".3gp",
+        ".asf",
+        ".rm",
+        ".mp3",
+        ".wav",
+        ".aac",
+        ".flac",
+        ".ogg",
+        ".m4a",
+        ".wma",
+    }
+
+    import os
+
+    _, ext = os.path.splitext(file_path.lower())
+    return ext in supported_extensions
+
+
+def estimate_processing_time(
+    input_duration: float, complexity_factor: float = 1.0
+) -> float:
+    """
+    估算处理时间
+
+    Args:
+        input_duration: 输入文件时长（秒）
+        complexity_factor: 复杂度因子（1.0为普通处理）
+
+    Returns:
+        预估处理时间（秒）
+    """
+    # 基础处理速度假设为实时的0.5倍（即处理1秒视频需要2秒）
+    base_processing_ratio = 2.0
+    return input_duration * base_processing_ratio * complexity_factor

util/json_utils.py

@@ -0,0 +1,99 @@
+"""
+JSON处理工具模块 - 提供安全的JSON解析和处理功能
+"""
+
+import json
+import logging
+from typing import Dict, Any, Optional, Union
+
+logger = logging.getLogger(__name__)
+
+
+def safe_json_loads(json_str: Union[str, bytes], default: Any = None) -> Any:
+    """
+    安全解析JSON字符串
+
+    Args:
+        json_str: JSON字符串
+        default: 解析失败时返回的默认值
+
+    Returns:
+        解析后的对象，或默认值
+    """
+    if not json_str or json_str == "{}":
+        return default or {}
+
+    try:
+        return json.loads(json_str)
+    except (json.JSONDecodeError, TypeError) as e:
+        logger.warning(f"Failed to parse JSON: {e}, input: {json_str!r}")
+        return default or {}
+
+
+def safe_json_dumps(
+    obj: Any, indent: Optional[int] = None, ensure_ascii: bool = False
+) -> str:
+    """
+    安全序列化对象为JSON字符串
+
+    Args:
+        obj: 要序列化的对象
+        indent: 缩进空格数
+        ensure_ascii: 是否确保ASCII编码
+
+    Returns:
+        JSON字符串
+    """
+    try:
+        return json.dumps(obj, indent=indent, ensure_ascii=ensure_ascii)
+    except (TypeError, ValueError) as e:
+        logger.error(f"Failed to serialize to JSON: {e}")
+        return "{}"
+
+
+def get_nested_value(data: Dict[str, Any], key_path: str, default: Any = None) -> Any:
+    """
+    从嵌套字典中安全获取值
+
+    Args:
+        data: 字典数据
+        key_path: 键路径，用点分隔（如 "user.profile.name"）
+        default: 默认值
+
+    Returns:
+        找到的值或默认值
+    """
+    if not isinstance(data, dict):
+        return default
+
+    try:
+        keys = key_path.split(".")
+        current = data
+
+        for key in keys:
+            if isinstance(current, dict) and key in current:
+                current = current[key]
+            else:
+                return default
+
+        return current
+    except Exception as e:
+        logger.warning(f"Failed to get nested value for path '{key_path}': {e}")
+        return default
+
+
+def merge_dicts(*dicts: Dict[str, Any]) -> Dict[str, Any]:
+    """
+    合并多个字典，后面的字典会覆盖前面的字典中相同的键
+
+    Args:
+        *dicts: 要合并的字典
+
+    Returns:
+        合并后的字典
+    """
+    result = {}
+    for d in dicts:
+        if isinstance(d, dict):
+            result.update(d)
+    return result

util/oss.py

@@ -0,0 +1,143 @@
+import logging
+import os
+import sys
+
+import requests
+from opentelemetry.trace import Status, StatusCode
+
+from telemetry import get_tracer
+
+logger = logging.getLogger(__name__)
+
+
+def upload_to_oss(url, file_path):
+    """
+    使用签名URL上传文件到OSS
+    :param str url: 签名URL
+    :param str file_path: 文件路径
+    :return bool: 是否成功
+    """
+    tracer = get_tracer(__name__)
+    with tracer.start_as_current_span("upload_to_oss") as span:
+        span.set_attribute("file.url", url)
+        span.set_attribute("file.path", file_path)
+        span.set_attribute("file.size", os.path.getsize(file_path))
+        max_retries = 5
+        retries = 0
+        if os.getenv("UPLOAD_METHOD") == "rclone":
+            with tracer.start_as_current_span("rclone_to_oss") as r_span:
+                replace_map = os.getenv("RCLONE_REPLACE_MAP")
+                r_span.set_attribute("rclone.replace_map", replace_map)
+                if replace_map != "":
+                    replace_list = [i.split("|", 1) for i in replace_map.split(",")]
+                    new_url = url
+                    for _src, _dst in replace_list:
+                        new_url = new_url.replace(_src, _dst)
+                    new_url = new_url.split("?", 1)[0]
+                    r_span.set_attribute("rclone.target_dir", new_url)
+                    if new_url != url:
+                        result = os.system(
+                            f"rclone copyto --no-check-dest --ignore-existing --multi-thread-chunk-size 8M --multi-thread-streams 8 {file_path} {new_url}"
+                        )
+                        r_span.set_attribute("rclone.result", result)
+                        if result == 0:
+                            span.set_status(Status(StatusCode.OK))
+                            return True
+                        else:
+                            span.set_status(Status(StatusCode.ERROR))
+        while retries < max_retries:
+            with tracer.start_as_current_span("upload_to_oss.request") as req_span:
+                req_span.set_attribute("http.retry_count", retries)
+                try:
+                    req_span.set_attribute("http.method", "PUT")
+                    req_span.set_attribute("http.url", url)
+                    with open(file_path, "rb") as f:
+                        response = requests.put(
+                            url,
+                            data=f,
+                            stream=True,
+                            timeout=60,
+                            headers={"Content-Type": "video/mp4"},
+                        )
+                        req_span.set_attribute("http.status_code", response.status_code)
+                        req_span.set_attribute("http.response", response.text)
+                        response.raise_for_status()
+                        req_span.set_status(Status(StatusCode.OK))
+                        span.set_status(Status(StatusCode.OK))
+                        return True
+                except requests.exceptions.Timeout:
+                    req_span.set_attribute("http.error", "Timeout")
+                    req_span.set_status(Status(StatusCode.ERROR))
+                    retries += 1
+                    logger.warning(
+                        f"Upload timed out. Retrying {retries}/{max_retries}..."
+                    )
+                except Exception as e:
+                    req_span.set_attribute("http.error", str(e))
+                    req_span.set_status(Status(StatusCode.ERROR))
+                    retries += 1
+                    logger.warning(
+                        f"Upload failed. Retrying {retries}/{max_retries}..."
+                    )
+        span.set_status(Status(StatusCode.ERROR))
+    return False
+
+
+def download_from_oss(url, file_path, skip_if_exist=None):
+    """
+    使用签名URL下载文件到OSS
+    :param skip_if_exist: 如果存在就不下载了
+    :param str url: 签名URL
+    :param Union[LiteralString, str, bytes] file_path: 文件路径
+    :return bool: 是否成功
+    """
+    tracer = get_tracer(__name__)
+    with tracer.start_as_current_span("download_from_oss") as span:
+        span.set_attribute("file.url", url)
+        span.set_attribute("file.path", file_path)
+
+        # 如果skip_if_exist为None，则从启动参数中读取
+        if skip_if_exist is None:
+            skip_if_exist = "skip_if_exist" in sys.argv
+
+        if skip_if_exist and os.path.exists(file_path):
+            span.set_attribute("file.exist", True)
+            span.set_attribute("file.size", os.path.getsize(file_path))
+            return True
+        logging.info("download_from_oss: %s", url)
+        file_dir, file_name = os.path.split(file_path)
+        if file_dir:
+            if not os.path.exists(file_dir):
+                os.makedirs(file_dir)
+        max_retries = 5
+        retries = 0
+        while retries < max_retries:
+            with tracer.start_as_current_span("download_from_oss.request") as req_span:
+                req_span.set_attribute("http.retry_count", retries)
+                try:
+                    req_span.set_attribute("http.method", "GET")
+                    req_span.set_attribute("http.url", url)
+                    response = requests.get(url, timeout=15)  # 设置超时时间
+                    req_span.set_attribute("http.status_code", response.status_code)
+                    with open(file_path, "wb") as f:
+                        f.write(response.content)
+                    req_span.set_attribute("file.size", os.path.getsize(file_path))
+                    req_span.set_status(Status(StatusCode.OK))
+                    span.set_status(Status(StatusCode.OK))
+                    return True
+                except requests.exceptions.Timeout:
+                    req_span.set_attribute("http.error", "Timeout")
+                    req_span.set_status(Status(StatusCode.ERROR))
+                    retries += 1
+                    logger.warning(
+                        f"Download timed out. Retrying {retries}/{max_retries}..."
+                    )
+                except Exception as e:
+                    req_span.set_attribute("http.error", str(e))
+                    req_span.set_status(Status(StatusCode.ERROR))
+                    retries += 1
+                    logger.warning(
+                        f"Download failed. Retrying {retries}/{max_retries}..."
+                    )
+        span.set_status(Status(StatusCode.ERROR))
+    return False

util/system.py

@@ -1,345 +1,24 @@
-# -*- coding: utf-8 -*-
-"""
-系统信息工具
-
-提供系统信息采集功能。
-"""
-
-import logging
 import os
 import platform
-import subprocess
+from datetime import datetime
-from typing import Optional, Dict, Any, List
 
 import psutil
-from constant import SOFTWARE_VERSION, DEFAULT_CAPABILITIES, HW_ACCEL_NONE, HW_ACCEL_QSV, HW_ACCEL_CUDA
+from constant import SUPPORT_FEATURE, SOFTWARE_VERSION
-from domain.gpu import GPUDevice
-
-logger = logging.getLogger(__name__)
 
 
 def get_sys_info():
     """
-    获取系统信息
+    Returns a dictionary with system information.
-
-    Returns:
-        dict: 系统信息字典
     """
-    mem = psutil.virtual_memory()
-
     info = {
-        'os': platform.system(),
+        "version": SOFTWARE_VERSION,
-        'cpu': f"{os.cpu_count()} cores",
+        "client_datetime": datetime.now().isoformat(),
-        'memory': f"{mem.total // (1024**3)}GB",
+        "platform": platform.system(),
-        'cpuUsage': f"{psutil.cpu_percent()}%",
+        "runtime_version": "Python " + platform.python_version(),
-        'memoryAvailable': f"{mem.available // (1024**3)}GB",
+        "cpu_count": os.cpu_count(),
-        'platform': platform.system(),
+        "cpu_usage": psutil.cpu_percent(),
-        'pythonVersion': platform.python_version(),
+        "memory_total": psutil.virtual_memory().total,
-        'version': SOFTWARE_VERSION,
+        "memory_available": psutil.virtual_memory().available,
+        "support_feature": SUPPORT_FEATURE,
     }
-
-    # 尝试获取 GPU 信息
-    gpu_info = get_gpu_info()
-    if gpu_info:
-        info['gpu'] = gpu_info
-
     return info
-
-
-def get_capabilities():
-    """
-    获取 Worker 支持的能力列表
-
-    Returns:
-        list: 能力列表
-    """
-    return DEFAULT_CAPABILITIES.copy()
-
-
-def get_gpu_info() -> Optional[str]:
-    """
-    尝试获取 GPU 信息
-
-    Returns:
-        str: GPU 信息，失败返回 None
-    """
-    try:
-        # 尝试使用 nvidia-smi
-        result = subprocess.run(
-            ['nvidia-smi', '--query-gpu=name', '--format=csv,noheader'],
-            capture_output=True,
-            text=True,
-            timeout=5
-        )
-        if result.returncode == 0:
-            gpu_name = result.stdout.strip().split('\n')[0]
-            return gpu_name
-    except Exception:
-        pass
-
-    return None
-
-
-def get_ffmpeg_version() -> str:
-    """
-    获取 FFmpeg 版本
-
-    Returns:
-        str: FFmpeg 版本号
-    """
-    try:
-        result = subprocess.run(
-            ['ffmpeg', '-version'],
-            capture_output=True,
-            text=True,
-            timeout=5
-        )
-        if result.returncode == 0:
-            first_line = result.stdout.split('\n')[0]
-            # 解析版本号，例如 "ffmpeg version 6.0 ..."
-            parts = first_line.split()
-            for i, part in enumerate(parts):
-                if part == 'version' and i + 1 < len(parts):
-                    return parts[i + 1]
-    except Exception:
-        pass
-
-    return 'unknown'
-
-
-def check_ffmpeg_encoder(encoder: str) -> bool:
-    """
-    检查 FFmpeg 是否支持指定的编码器
-
-    Args:
-        encoder: 编码器名称，如 'h264_nvenc', 'h264_qsv'
-
-    Returns:
-        bool: 是否支持该编码器
-    """
-    try:
-        result = subprocess.run(
-            ['ffmpeg', '-hide_banner', '-encoders'],
-            capture_output=True,
-            text=True,
-            timeout=5
-        )
-        if result.returncode == 0:
-            return encoder in result.stdout
-    except Exception:
-        pass
-
-    return False
-
-
-def check_ffmpeg_decoder(decoder: str) -> bool:
-    """
-    检查 FFmpeg 是否支持指定的解码器
-
-    Args:
-        decoder: 解码器名称，如 'h264_cuvid', 'h264_qsv'
-
-    Returns:
-        bool: 是否支持该解码器
-    """
-    try:
-        result = subprocess.run(
-            ['ffmpeg', '-hide_banner', '-decoders'],
-            capture_output=True,
-            text=True,
-            timeout=5
-        )
-        if result.returncode == 0:
-            return decoder in result.stdout
-    except Exception:
-        pass
-
-    return False
-
-
-def check_ffmpeg_hwaccel(hwaccel: str) -> bool:
-    """
-    检查 FFmpeg 是否支持指定的硬件加速方法
-
-    Args:
-        hwaccel: 硬件加速方法，如 'cuda', 'qsv', 'dxva2', 'd3d11va'
-
-    Returns:
-        bool: 是否支持该硬件加速方法
-    """
-    try:
-        result = subprocess.run(
-            ['ffmpeg', '-hide_banner', '-hwaccels'],
-            capture_output=True,
-            text=True,
-            timeout=5
-        )
-        if result.returncode == 0:
-            return hwaccel in result.stdout
-    except Exception:
-        pass
-
-    return False
-
-
-def detect_hw_accel_support() -> Dict[str, Any]:
-    """
-    检测系统的硬件加速支持情况
-
-    Returns:
-        dict: 硬件加速支持信息
-        {
-            'cuda': {
-                'available': bool,
-                'gpu': str or None,
-                'encoder': bool,  # h264_nvenc
-                'decoder': bool,  # h264_cuvid
-            },
-            'qsv': {
-                'available': bool,
-                'encoder': bool,  # h264_qsv
-                'decoder': bool,  # h264_qsv
-            },
-            'recommended': str  # 推荐的加速方式: 'cuda', 'qsv', 'none'
-        }
-    """
-    result = {
-        'cuda': {
-            'available': False,
-            'gpu': None,
-            'encoder': False,
-            'decoder': False,
-        },
-        'qsv': {
-            'available': False,
-            'encoder': False,
-            'decoder': False,
-        },
-        'recommended': HW_ACCEL_NONE
-    }
-
-    # 检测 CUDA/NVENC 支持
-    gpu_info = get_gpu_info()
-    if gpu_info:
-        result['cuda']['gpu'] = gpu_info
-        result['cuda']['available'] = check_ffmpeg_hwaccel('cuda')
-        result['cuda']['encoder'] = check_ffmpeg_encoder('h264_nvenc')
-        result['cuda']['decoder'] = check_ffmpeg_decoder('h264_cuvid')
-
-    # 检测 QSV 支持
-    result['qsv']['available'] = check_ffmpeg_hwaccel('qsv')
-    result['qsv']['encoder'] = check_ffmpeg_encoder('h264_qsv')
-    result['qsv']['decoder'] = check_ffmpeg_decoder('h264_qsv')
-
-    # 推荐硬件加速方式（优先 CUDA，其次 QSV）
-    if result['cuda']['available'] and result['cuda']['encoder']:
-        result['recommended'] = HW_ACCEL_CUDA
-    elif result['qsv']['available'] and result['qsv']['encoder']:
-        result['recommended'] = HW_ACCEL_QSV
-
-    return result
-
-
-def get_hw_accel_info_str() -> str:
-    """
-    获取硬件加速支持信息的可读字符串
-
-    Returns:
-        str: 硬件加速支持信息描述
-    """
-    support = detect_hw_accel_support()
-
-    parts = []
-
-    if support['cuda']['available']:
-        gpu = support['cuda']['gpu'] or 'Unknown GPU'
-        status = 'encoder+decoder' if support['cuda']['encoder'] and support['cuda']['decoder'] else (
-            'encoder only' if support['cuda']['encoder'] else 'decoder only' if support['cuda']['decoder'] else 'hwaccel only'
-        )
-        parts.append(f"CUDA({gpu}, {status})")
-
-    if support['qsv']['available']:
-        status = 'encoder+decoder' if support['qsv']['encoder'] and support['qsv']['decoder'] else (
-            'encoder only' if support['qsv']['encoder'] else 'decoder only' if support['qsv']['decoder'] else 'hwaccel only'
-        )
-        parts.append(f"QSV({status})")
-
-    if not parts:
-        return "No hardware acceleration available"
-
-    return ', '.join(parts) + f" [recommended: {support['recommended']}]"
-
-
-def get_all_gpu_info() -> List[GPUDevice]:
-    """
-    获取所有 NVIDIA GPU 信息
-
-    使用 nvidia-smi 查询所有 GPU 设备。
-
-    Returns:
-        GPU 设备列表，失败返回空列表
-    """
-    try:
-        result = subprocess.run(
-            [
-                'nvidia-smi',
-                '--query-gpu=index,name,memory.total',
-                '--format=csv,noheader,nounits'
-            ],
-            capture_output=True,
-            text=True,
-            timeout=10
-        )
-
-        if result.returncode != 0:
-            return []
-
-        devices = []
-        for line in result.stdout.strip().split('\n'):
-            if not line.strip():
-                continue
-            parts = [p.strip() for p in line.split(',')]
-            if len(parts) >= 2:
-                index = int(parts[0])
-                name = parts[1]
-                memory = int(parts[2]) if len(parts) >= 3 else None
-                devices.append(GPUDevice(
-                    index=index,
-                    name=name,
-                    memory_total=memory,
-                    available=True
-                ))
-
-        return devices
-
-    except Exception as e:
-        logger.warning(f"Failed to detect GPUs: {e}")
-        return []
-
-
-def validate_gpu_device(index: int) -> bool:
-    """
-    验证指定索引的 GPU 设备是否可用
-
-    Args:
-        index: GPU 设备索引
-
-    Returns:
-        设备是否可用
-    """
-    try:
-        result = subprocess.run(
-            [
-                'nvidia-smi',
-                '-i', str(index),
-                '--query-gpu=name',
-                '--format=csv,noheader'
-            ],
-            capture_output=True,
-            text=True,
-            timeout=5
-        )
-        return result.returncode == 0 and bool(result.stdout.strip())
-    except Exception:
-        return False
-