feat(04-04): create Pipeline class with processor initialization

- Pipeline class initializes with processors list
- Validates processor STEP_NAME matches config.steps
- _parse_url method parses URLs using LinkParser
- _get_content_dir creates content directory from parsed URL

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
2026-03-13 23:38:17 +08:00
parent 789d1f43e0
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"""Pipeline engine - orchestrates multiple processors
The Pipeline class coordinates the workflow:
1. Parse URL to extract platform and content ID
2. Run processors in order (parse, download, asr, analyze)
3. Handle errors and state persistence
4. Return results
Key design decisions:
- Sequential execution (simpler, easier to debug)
- State persistence after each step (via WorkflowStateManager)
- Simple progress logging
"""
from __future__ import annotations
import logging
from pathlib import Path
from typing import Dict, List, Optional
from kb_pipeline.config import get_settings
from kb_pipeline.link_parser import LinkParser, ParsedLink
from kb_pipeline.processors.base import BaseProcessor
from kb_pipeline.schemas import PipelineConfig, PipelineInput, PipelineOutput
logger = logging.getLogger(__name__)
class Pipeline:
"""Pipeline engine - orchestrates multiple processors
Orchestrates the workflow:
1. Parse URL to extract platform and content ID
2. Run processors in order (parse, download, asr, analyze)
3. Handle errors and state persistence
4. Return results
Key design decisions:
- Sequential execution (simpler, easier to debug)
- State persistence after each step (via WorkflowStateManager)
- Simple progress logging
"""
def __init__(
self,
processors: List[BaseProcessor],
config: Optional[PipelineConfig] = None,
output_dir: Optional[Path] = None,
):
"""Initialize the Pipeline.
Args:
processors: List of processor instances to use
config: Optional PipelineConfig for pipeline settings
output_dir: Optional output directory for content
Raises:
ValueError: If a processor's STEP_NAME is not in config.steps
"""
self.processors: Dict[str, BaseProcessor] = {p.STEP_NAME: p for p in processors}
self.config = config or PipelineConfig()
self.output_dir = output_dir or Path.cwd()
self.settings = get_settings()
# Validate processors - each processor's STEP_NAME must be in config.steps
for step_name in self.processors:
if step_name not in self.config.steps:
raise ValueError(f"Unknown processor: {step_name}")
def _parse_url(self, url: str) -> Optional[ParsedLink]:
"""Parse URL using LinkParser.
Args:
url: URL to parse
Returns:
ParsedLink with extracted information, or None if URL is not recognized
"""
if not url:
return None
parser = LinkParser()
parsed = parser.parse(url)
if not parsed:
logger.warning(f"Failed to parse URL: {url}")
return None
return parsed
def _get_content_dir(self, parsed: ParsedLink) -> Path:
"""Get content directory from parsed URL.
Creates the directory if it doesn't exist.
Args:
parsed: ParsedLink with platform and content_id
Returns:
Path to the content directory
"""
content_dir = self.output_dir / f"{parsed.platform}_{parsed.content_id}"
content_dir.mkdir(parents=True, exist_ok=True)
return content_dir