feat(06-01): create metadata directory and move bilibili modules
- Rename kb-workflow to kb_workflow for Python package compatibility - Move bilibili_extractor.py and bilibili_metadata.py to kb_workflow/metadata/ - Create metadata/__init__.py with BilibiliExporter export Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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KB Workflow - Knowledge Base Workflow Orchestrator
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知识库工作流管道入口。
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此模块提供 process_command() 函数作为管道入口,
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内部使用 kb_pipeline 包实现完整的内容处理流程。
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使用方式:
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python kb_workflow.py process "https://www.bilibili.com/video/BVxxx"
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python kb_workflow.py process "https://..." -o /path/to/output
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"""
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import argparse
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import asyncio
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import json
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import sys
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from pathlib import Path
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from typing import Any, Dict, Optional
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def process_command(
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url: str,
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output_dir: Optional[str] = None,
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skip_completed: bool = True
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) -> Dict[str, Any]:
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"""Execute full pipeline for a URL
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Args:
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url: URL to process
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output_dir: Optional output directory for content. Defaults to
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KB_INTERMEDIATE_PATH env var or ~/work/intermediate/analysis/
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skip_completed: Skip already completed steps (default True)
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Returns:
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Dictionary with success status, content_dir, and results
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"""
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# Add project root to path for kb_pipeline imports
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project_root = Path(__file__).parent.parent
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if str(project_root) not in sys.path:
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sys.path.insert(0, str(project_root))
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try:
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from kb_pipeline.config import get_settings
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from kb_pipeline.pipeline import Pipeline
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from kb_pipeline.processors import (
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ASRProcessor, AnalyzeProcessor, ArchiveProcessor,
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DownloadProcessor, ParseProcessor
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)
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from kb_pipeline.schemas import PipelineConfig
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async def run_pipeline():
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# Determine output directory - default to intermediate_path
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settings = get_settings()
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out_dir = Path(output_dir) if output_dir else Path(settings.intermediate_path)
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# Create processors
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processors = [
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ParseProcessor(),
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DownloadProcessor(),
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ASRProcessor(),
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AnalyzeProcessor(),
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ArchiveProcessor(),
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]
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# Create pipeline config
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config = PipelineConfig(
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steps=["parse", "download", "asr", "analyze", "archive"],
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output_dir=out_dir,
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skip_completed=skip_completed,
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)
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# Create and run pipeline
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pipeline = Pipeline(
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processors=processors,
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config=config,
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output_dir=out_dir,
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)
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result = await pipeline.run(url)
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return result
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# Run async pipeline
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result = asyncio.run(run_pipeline())
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return {
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"success": result.success,
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"error": result.error_message,
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"content_dir": str(result.content_dir) if result.content_dir else None,
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"results": result.results,
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}
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except Exception as e:
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return {
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"success": False,
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"error": str(e),
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"content_dir": None,
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"results": {},
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}
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def main():
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"""CLI入口 - 用于命令行调用"""
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parser = argparse.ArgumentParser(
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description='KB Workflow - Knowledge Base Workflow Orchestrator',
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formatter_class=argparse.RawDescriptionHelpFormatter,
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epilog='''
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使用示例:
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# 处理URL (通过完整管道)
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python kb_workflow.py process "https://www.bilibili.com/video/BVxxx"
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# 指定输出目录
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python kb_workflow.py process "https://..." -o /path/to/output
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# 强制重新执行(忽略已完成状态)
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python kb_workflow.py process "https://..." --no-skip
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'''
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)
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# Create subparsers for commands
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subparsers = parser.add_subparsers(dest='command', help='Available commands')
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# Process subcommand
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process_parser = subparsers.add_parser('process', help='Process URL through full pipeline')
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process_parser.add_argument('url', type=str, help='URL to process')
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process_parser.add_argument('--output-dir', '-o', type=str, help='Output directory for content')
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process_parser.add_argument('--skip-completed', action='store_true', default=True,
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help='Skip completed steps (default: True)')
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process_parser.add_argument('--no-skip', action='store_false', dest='skip_completed',
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help='Re-run all steps')
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args = parser.parse_args()
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# Handle process subcommand
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if args.command == 'process':
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result = process_command(
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url=args.url,
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output_dir=args.output_dir,
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skip_completed=args.skip_completed
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)
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print(json.dumps(result, ensure_ascii=False, indent=2))
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else:
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parser.print_help()
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if __name__ == '__main__':
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main()
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