feat: Grand Unification — one command, one interface, direct converters (#346)
* fix: resolve 8 pipeline bugs found during skill quality review - Fix 0 APIs extracted from documentation by enriching summary.json with individual page file content before conflict detection - Fix all "Unknown" entries in merged_api.md by injecting dict keys as API names and falling back to AI merger field names - Fix frontmatter using raw slugs instead of config name by normalizing frontmatter after SKILL.md generation - Fix leaked absolute filesystem paths in patterns/index.md by stripping .skillseeker-cache repo clone prefixes - Fix ARCHITECTURE.md file count always showing "1 files" by counting files per language from code_analysis data - Fix YAML parse errors on GitHub Actions workflows by converting boolean keys (on: true) to strings - Fix false React/Vue.js framework detection in C# projects by filtering web frameworks based on primary language - Improve how-to guide generation by broadening workflow example filter to include setup/config examples with sufficient complexity - Fix test_git_sources_e2e failures caused by git init default branch being 'main' instead of 'master' Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: address 6 review issues in ExecutionContext implementation Fixes from code review: 1. Mode resolution (#3 critical): _args_to_data no longer unconditionally overwrites mode. Only writes mode="api" when --api-key explicitly passed. Env-var-based mode detection moved to _default_data() as lowest priority. 2. Re-initialization warning (#4): initialize() now logs debug message when called a second time instead of silently returning stale instance. 3. _raw_args preserved in override (#5): temp context now copies _raw_args from parent so get_raw() works correctly inside override blocks. 4. test_local_mode_detection env cleanup (#7): test now saves/restores API key env vars to prevent failures when ANTHROPIC_API_KEY is set. 5. _load_config_file error handling (#8): wraps FileNotFoundError and JSONDecodeError with user-friendly ValueError messages. 6. Lint fixes: added logging import, fixed Generator import from collections.abc, fixed AgentClient return type annotation. Remaining P2/P3 items (documented, not blocking): - Lock TOCTOU in override() — safe on CPython, needs fix for no-GIL - get() reads _instance without lock — same CPython caveat - config_path not stored on instance - AnalysisSettings.depth not Literal constrained Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: address all remaining P2/P3 review issues in ExecutionContext 1. Thread safety: get() now acquires _lock before reading _instance (#2) 2. Thread safety: override() saves/restores _initialized flag to prevent re-init during override blocks (#10) 3. Config path stored: _config_path PrivateAttr + config_path property (#6) 4. Literal validation: AnalysisSettings.depth now uses Literal["surface", "deep", "full"] — rejects invalid values (#9) 5. Test updated: test_analysis_depth_choices now expects ValidationError for invalid depth, added test_analysis_depth_valid_choices 6. Lint cleanup: removed unused imports, fixed whitespace in tests All 10 previously reported issues now resolved. 26 tests pass, lint clean. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: restore 5 truncated scrapers, migrate unified_scraper, fix context init 5 scrapers had main() truncated with "# Original main continues here..." after Kimi's migration — business logic was never connected: - html_scraper.py — restored HtmlToSkillConverter extraction + build - pptx_scraper.py — restored PptxToSkillConverter extraction + build - confluence_scraper.py — restored ConfluenceToSkillConverter with 3 modes - notion_scraper.py — restored NotionToSkillConverter with 4 sources - chat_scraper.py — restored ChatToSkillConverter extraction + build unified_scraper.py — migrated main() to context-first pattern with argv fallback Fixed context initialization chain: - main.py no longer initializes ExecutionContext (was stealing init from commands) - create_command.py now passes config_path from source_info.parsed - execution_context.py handles SourceInfo.raw_input (not raw_source) All 18 scrapers now genuinely migrated. 26 tests pass, lint clean. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: resolve 7 data flow conflicts between ExecutionContext and legacy paths Critical fixes (CLI args silently lost): - unified_scraper Phase 6: reads ctx.enhancement.level instead of raw JSON when args=None (#3, #4) - unified_scraper Phase 6 agent: reads ctx.enhancement.agent instead of 3 independent env var lookups (#5) - doc_scraper._run_enhancement: uses agent_client.api_key instead of raw os.environ.get() — respects config file api_key (#1) Important fixes: - main._handle_analyze_command: populates _fake_args from ExecutionContext so --agent and --api-key aren't lost in analyze→enhance path (#6) - doc_scraper type annotations: replaced forward refs with Any to avoid F821 undefined name errors All changes include RuntimeError fallback for backward compatibility when ExecutionContext isn't initialized. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: 3 crashes + 1 stub in migrated scrapers found by deep scan 1. github_scraper.py: args.scrape_only and args.enhance_level crash when args=None (context path). Guarded with if args and getattr(). Also fixed agent fallback to read ctx.enhancement.agent. 2. codebase_scraper.py: args.output and args.skip_api_reference crash in summary block when args=None. Replaced with output_dir local var and ctx.analysis.skip_api_reference. 3. epub_scraper.py: main() was still a stub ending with "# Rest of main() continues..." — restored full extraction + build + enhancement logic using ctx values exclusively. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: complete ExecutionContext migration for remaining scrapers Kimi's Phase 4 scraper migrations + Claude's review fixes. All 18 scrapers now use context-first pattern with argv fallback. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: Phase 1 — ExecutionContext.get() always returns context (no RuntimeError) get() now returns a default context instead of raising RuntimeError when not explicitly initialized. This eliminates the need for try/except RuntimeError blocks in all 18 scrapers. Components can always call ExecutionContext.get() safely — it returns defaults if not initialized, or the explicitly initialized instance. Updated tests: test_get_returns_defaults_when_not_initialized, test_reset_clears_instance (no longer expects RuntimeError). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: Phase 2a-c — remove 16 individual scraper CLI commands Removed individual scraper commands from: - COMMAND_MODULES in main.py (16 entries: scrape, github, pdf, word, epub, video, jupyter, html, openapi, asciidoc, pptx, rss, manpage, confluence, notion, chat) - pyproject.toml entry points (16 skill-seekers-<type> binaries) - parsers/__init__.py (16 parser registrations) All source types now accessed via: skill-seekers create <source> Kept: create, unified, analyze, enhance, package, upload, install, install-agent, config, doctor, and utility commands. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: create SkillConverter base class + converter registry New base interface that all 17 converters will inherit: - SkillConverter.run() — extract + build (same call for all types) - SkillConverter.extract() — override in subclass - SkillConverter.build_skill() — override in subclass - get_converter(source_type, config) — factory from registry - CONVERTER_REGISTRY — maps source type → (module, class) create_command will use get_converter() instead of _call_module(). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: Grand Unification — one command, one interface, direct converters Complete the Grand Unification refactor: `skill-seekers create` is now the single entry point for all 18 source types. Individual scraper CLI commands (scrape, github, pdf, analyze, unified, etc.) are removed. ## Architecture changes - **18 SkillConverter subclasses**: Every scraper now inherits SkillConverter with extract() + build_skill() + SOURCE_TYPE. Factory via get_converter(). - **create_command.py rewritten**: _build_config() constructs config dicts from ExecutionContext for each source type. Direct converter.run() calls replace the old _build_argv() + sys.argv swap + _call_module() machinery. - **main.py simplified**: create command bypasses _reconstruct_argv entirely, calls CreateCommand(args).execute() directly. analyze/unified commands removed (create handles both via auto-detection). - **CreateParser mode="all"**: Top-level parser now accepts all 120+ flags (--browser, --max-pages, --depth, etc.) since create is the only entry. - **Centralized enhancement**: Runs once in create_command after converter, not duplicated in each scraper. - **MCP tools use converters**: 5 scraping tools call get_converter() directly instead of subprocess. Config type auto-detected from keys. - **ConfigValidator → UniSkillConfigValidator**: Renamed with backward- compat alias. - **Data flow**: AgentClient + LocalSkillEnhancer read ExecutionContext first, env vars as fallback. ## What was removed - main() from all 18 scraper files (~3400 lines) - 18 CLI commands from COMMAND_MODULES + pyproject.toml entry points - analyze + unified parsers from parser registry - _build_argv, _call_module, _SKIP_ARGS, _DEST_TO_FLAG, all _route_*() - setup_argument_parser, get_configuration, _check_deprecated_flags - Tests referencing removed commands/functions ## Net impact 51 files changed, ~6000 lines removed. 2996 tests pass, 0 failures. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: review fixes for Grand Unification PR - Add autouse conftest fixture to reset ExecutionContext singleton between tests - Replace hardcoded defaults in _is_explicitly_set() with parser-derived defaults - Upgrade ExecutionContext double-init log from debug to info - Use logger.exception() in SkillConverter.run() to preserve tracebacks - Fix docstring "17 types" → "18 types" in skill_converter.py - DRY up 10 copy-paste help handlers into dict + loop (~100 lines removed) - Fix 2 CI workflows still referencing removed `skill-seekers scrape` command - Remove broken pyproject.toml entry point for codebase_scraper:main Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: resolve 12 logic/flow issues found in deep review Critical fixes: - UnifiedScraper.run(): replace sys.exit(1) with return 1, add return 0 - doc_scraper: use ExecutionContext.get() when already initialized instead of re-calling initialize() which silently discards new config - unified_scraper: define enhancement_config before try/except to prevent UnboundLocalError in LOCAL enhancement timeout read Important fixes: - override(): cleaner tuple save/restore for singleton swap - --agent without --api-key now sets mode="local" so env API key doesn't override explicit agent choice - Remove DeprecationWarning from _reconstruct_argv (fires on every non-create command in production) - Rewrite scrape_generic_tool to use get_converter() instead of subprocess calls to removed main() functions - SkillConverter.run() checks build_skill() return value, returns 1 if False - estimate_pages_tool uses -m module invocation instead of .py file path Low-priority fixes: - get_converter() raises descriptive ValueError on class name typo - test_default_values: save/clear API key env vars before asserting mode - test_get_converter_pdf: fix config key "path" → "pdf_path" 3056 passed, 4 failed (pre-existing dep version issues), 32 skipped. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: update MCP server tests to mock converter instead of subprocess scrape_docs_tool now uses get_converter() + _run_converter() in-process instead of run_subprocess_with_streaming. Update 4 TestScrapeDocsTool tests to mock the converter layer instead of the removed subprocess path. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> --------- Co-authored-by: YusufKaraaslanSpyke <yusuf@spykegames.com> Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
yusyus
GitHub
@@ -15,12 +15,10 @@ Usage:
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skill-seekers asciidoc --from-json doc_extracted.json
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"""
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import argparse
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import json
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import logging
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import os
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import re
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import sys
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from pathlib import Path
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# Optional dependency guard — asciidoc library for HTML conversion
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@@ -31,6 +29,8 @@ try:
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except ImportError:
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ASCIIDOC_AVAILABLE = False
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from skill_seekers.cli.skill_converter import SkillConverter
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logger = logging.getLogger(__name__)
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ASCIIDOC_EXTENSIONS = {".adoc", ".asciidoc", ".asc", ".ad"}
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@@ -112,7 +112,7 @@ def _score_code_quality(code: str) -> float:
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return min(10.0, max(0.0, score))
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class AsciiDocToSkillConverter:
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class AsciiDocToSkillConverter(SkillConverter):
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"""Convert AsciiDoc documentation to an AI-ready skill.
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Handles single ``.adoc`` files and directories. Content is parsed into
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@@ -120,7 +120,10 @@ class AsciiDocToSkillConverter:
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directory layout (SKILL.md, references/, etc.).
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"""
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SOURCE_TYPE = "asciidoc"
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def __init__(self, config: dict) -> None:
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super().__init__(config)
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self.config = config
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self.name: str = config["name"]
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self.asciidoc_path: str = config.get("asciidoc_path", "")
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@@ -132,6 +135,10 @@ class AsciiDocToSkillConverter:
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self.categories: dict = config.get("categories", {})
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self.extracted_data: dict | None = None
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def extract(self):
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"""Extract content from AsciiDoc files (SkillConverter interface)."""
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self.extract_asciidoc()
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# ------------------------------------------------------------------
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# Extraction
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# ------------------------------------------------------------------
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@@ -943,147 +950,3 @@ class AsciiDocToSkillConverter:
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def _in_range(pos: int, ranges: list[tuple[int, int]]) -> bool:
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"""Check whether pos falls within any consumed range."""
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return any(s <= pos < e for s, e in ranges)
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# ============================================================================
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# CLI entry point
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# ============================================================================
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def main() -> int:
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"""CLI entry point for AsciiDoc scraper."""
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from skill_seekers.cli.arguments.asciidoc import add_asciidoc_arguments
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parser = argparse.ArgumentParser(
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description="Convert AsciiDoc documentation to skill",
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formatter_class=argparse.RawDescriptionHelpFormatter,
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)
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add_asciidoc_arguments(parser)
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args = parser.parse_args()
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# Set logging level
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if getattr(args, "quiet", False):
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logging.getLogger().setLevel(logging.WARNING)
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elif getattr(args, "verbose", False):
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logging.getLogger().setLevel(logging.DEBUG)
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# Handle --dry-run
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if getattr(args, "dry_run", False):
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source = (
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getattr(args, "asciidoc_path", None) or getattr(args, "from_json", None) or "(none)"
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)
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print(f"\n{'=' * 60}")
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print("DRY RUN: AsciiDoc Extraction")
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print(f"{'=' * 60}")
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print(f"Source: {source}")
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print(f"Name: {getattr(args, 'name', None) or '(auto-detect)'}")
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print(f"Enhance level: {getattr(args, 'enhance_level', 0)}")
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print(f"\n✅ Dry run complete")
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return 0
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# Validate inputs
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if not (getattr(args, "asciidoc_path", None) or getattr(args, "from_json", None)):
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parser.error("Must specify --asciidoc-path or --from-json")
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# Build from JSON workflow
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if getattr(args, "from_json", None):
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name = Path(args.from_json).stem.replace("_extracted", "")
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config = {
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"name": getattr(args, "name", None) or name,
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"description": getattr(args, "description", None)
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or f"Use when referencing {name} documentation",
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}
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try:
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converter = AsciiDocToSkillConverter(config)
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converter.load_extracted_data(args.from_json)
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converter.build_skill()
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except Exception 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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return 0
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# Direct AsciiDoc mode
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if not getattr(args, "name", None):
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p = Path(args.asciidoc_path)
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args.name = p.stem if p.is_file() else p.name
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config = {
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"name": args.name,
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"asciidoc_path": args.asciidoc_path,
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"description": getattr(args, "description", None),
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}
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try:
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converter = AsciiDocToSkillConverter(config)
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# Extract
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if not converter.extract_asciidoc():
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print("\n❌ AsciiDoc extraction failed - see error above", file=sys.stderr)
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sys.exit(1)
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# Build skill
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converter.build_skill()
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# Enhancement Workflow Integration
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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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# Traditional enhancement (complements workflow system)
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if getattr(args, "enhance_level", 0) > 0:
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api_key = getattr(args, "api_key", None) or os.environ.get("ANTHROPIC_API_KEY")
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mode = "API" if api_key else "LOCAL"
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print("\n" + "=" * 80)
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print(f"🤖 Traditional AI Enhancement ({mode} mode, level {args.enhance_level})")
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print("=" * 80)
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if workflow_executed:
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print(f" Running after workflow: {workflow_name}")
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print(
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" (Workflow provides specialized analysis,"
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" enhancement provides general improvements)"
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)
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print("")
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skill_dir = converter.skill_dir
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if api_key:
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try:
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from skill_seekers.cli.enhance_skill import enhance_skill_md
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enhance_skill_md(skill_dir, api_key)
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print("✅ API enhancement complete!")
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except ImportError:
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print("❌ API enhancement not available. Falling back to LOCAL mode...")
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from skill_seekers.cli.enhance_skill_local import LocalSkillEnhancer
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agent = getattr(args, "agent", None) if args else None
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agent_cmd = getattr(args, "agent_cmd", None) if args else None
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enhancer = LocalSkillEnhancer(Path(skill_dir), agent=agent, agent_cmd=agent_cmd)
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enhancer.run(headless=True)
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print("✅ Local enhancement complete!")
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else:
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from skill_seekers.cli.enhance_skill_local import LocalSkillEnhancer
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agent = getattr(args, "agent", None) if args else None
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agent_cmd = getattr(args, "agent_cmd", None) if args else None
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enhancer = LocalSkillEnhancer(Path(skill_dir), agent=agent, agent_cmd=agent_cmd)
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enhancer.run(headless=True)
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print("✅ Local enhancement complete!")
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except (FileNotFoundError, ValueError, 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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except Exception as e:
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print(f"\n❌ Unexpected error during AsciiDoc processing: {e}", file=sys.stderr)
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import traceback
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traceback.print_exc()
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sys.exit(1)
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return 0
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if __name__ == "__main__":
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sys.exit(main())
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