feat: support multiple --enhance-workflow flags with shared workflow_runner
- Change --enhance-workflow from type:str to action:append in all argument
files (workflow, create, scrape, github, pdf) so the flag can be given
multiple times to chain workflows in sequence
- Add workflow_runner.py: shared utility used by all 4 scrapers
- collect_workflow_vars(): merges extra context then user --var flags
(user flags take precedence over scraper metadata)
- run_workflows(): executes named workflows in order, then any inline
--enhance-stage workflow; handles dry-run/preview mode
- Remove duplicate ~115-130 line workflow blocks from doc_scraper,
github_scraper, pdf_scraper, and codebase_scraper; replace with
single run_workflows() call each
- Remove mutual exclusivity between workflows and AI enhancement:
workflows now run first, then traditional enhancement continues
independently (--enhance-level 0 to disable)
- Add tests/test_workflow_runner.py: 21 tests covering no-flags, single
workflow, multiple/chained workflows, inline stages, mixed mode,
variable precedence, and dry-run
- Fix test_markdown_parsing: accept "text" or "unknown" for unlabelled
code blocks (unified MarkdownParser returns "text" by default)
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
This commit is contained in:
@@ -693,6 +693,31 @@ def main():
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# Build skill
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converter.build_skill()
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# ═══════════════════════════════════════════════════════════════════════════
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# Enhancement Workflow Integration (Phase 2 - PDF Support)
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# ═══════════════════════════════════════════════════════════════════════════
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from skill_seekers.cli.workflow_runner import run_workflows
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workflow_executed, workflow_names = run_workflows(args)
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workflow_name = ", ".join(workflow_names) if workflow_names else None
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# ═══════════════════════════════════════════════════════════════════════════
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# Traditional Enhancement (complements workflow system)
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# ═══════════════════════════════════════════════════════════════════════════
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# Note: Runs independently of workflow system (they complement each other)
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if getattr(args, "enhance_level", 0) > 0:
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# Traditional AI enhancement (API or LOCAL mode)
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logger.info("\n" + "=" * 80)
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logger.info("🤖 Traditional AI Enhancement")
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logger.info("=" * 80)
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if workflow_executed:
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logger.info(f" Running after workflow: {workflow_name}")
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logger.info(" (Workflow provides specialized analysis, enhancement provides general improvements)")
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logger.info(" (Use --enhance-workflow for more control)")
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logger.info("")
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# Note: PDF scraper uses enhance_level instead of enhance/enhance_local
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# This is consistent with the new unified enhancement system
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except RuntimeError as e:
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print(f"\n❌ Error: {e}", file=sys.stderr)
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sys.exit(1)
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