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5 Commits
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6d37e43b83 |
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> |
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f7117c35a9 |
chore: bump version to 3.1.0 and update CHANGELOG
- pyproject.toml: version 3.0.0 → 3.1.0 - src/skill_seekers/_version.py: update hardcoded fallback to 3.1.0 - CHANGELOG.md: comprehensive [3.1.0] release notes covering all features and fixes since v3.0.0 (unified create command, workflow presets, RST parser, smart enhance dispatcher, CLI flag parity, 60 new workflow YAMLs, test suite improvements) - Deprecation messages: update "removed in v3.0.0" → "v4.0.0" across analyze_presets.py, codebase_scraper.py, mcp/server.py - tests/test_cli_paths.py: update version assertion to 3.1.0 - tests/test_package_structure.py: update __version__ assertions to 3.1.0 - tests/test_preset_system.py: update deprecation message version to v4.0.0 All 2267 tests passing. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> |
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0265de5816 |
style: Format all Python files with ruff
- Formatted 103 files to comply with ruff format requirements - No code logic changes, only formatting/whitespace - Fixes CI formatting check failures |
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51787e57bc |
style: Fix 411 ruff lint issues (Kimi's issue #4)
Auto-fixed lint issues with ruff --fix and --unsafe-fixes: Issue #4: Ruff Lint Issues - Before: 447 errors (originally reported as ~5,500) - After: 55 errors remaining - Fixed: 411 errors (92% reduction) Auto-fixes applied: - 156 UP006: List/Dict → list/dict (PEP 585) - 63 UP045: Optional[X] → X | None (PEP 604) - 52 F401: Removed unused imports - 52 UP035: Fixed deprecated imports - 34 E712: True/False comparisons → not/bool() - 17 F841: Removed unused variables - Plus 37 other auto-fixable issues Remaining 55 errors (non-critical): - 39 B904: Exception chaining (best practice) - 5 F401: Unused imports (edge cases) - 3 SIM105: Could use contextlib.suppress - 8 other minor style issues These remaining issues are code quality improvements, not critical bugs. Result: Code quality significantly improved (92% of linting issues resolved) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> |
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67c3ab9574 |
feat(cli): Implement formal preset system for analyze command (Phase 4)
Replaces hardcoded preset logic with a clean, maintainable PresetManager architecture. Adds comprehensive deprecation warnings to guide users toward the new --preset flag while maintaining backward compatibility. ## What Changed ### New Files - src/skill_seekers/cli/presets.py (200 lines) * AnalysisPreset dataclass * PRESETS dictionary (quick, standard, comprehensive) * PresetManager class with apply_preset() logic - tests/test_preset_system.py (387 lines) * 24 comprehensive tests across 6 test classes * 100% test pass rate ### Modified Files - src/skill_seekers/cli/parsers/analyze_parser.py * Added --preset flag (recommended way) * Added --preset-list flag * Marked --quick/--comprehensive/--depth as [DEPRECATED] - src/skill_seekers/cli/codebase_scraper.py * Added _check_deprecated_flags() function * Refactored preset handling to use PresetManager * Replaced 28 lines of if-statements with 7 lines of clean code ### Documentation - PHASE4_COMPLETION_SUMMARY.md - Complete implementation summary - PHASE1B_COMPLETION_SUMMARY.md - Phase 1B chunking summary ## Key Features ### Formal Preset Definitions - **Quick** ⚡: 1-2 min, basic features, enhance_level=0 - **Standard** 🎯: 5-10 min, core features, enhance_level=1 (DEFAULT) - **Comprehensive** 🚀: 20-60 min, all features + AI, enhance_level=3 ### New CLI Interface ```bash # Recommended way (no warnings) skill-seekers analyze --directory . --preset quick skill-seekers analyze --directory . --preset standard skill-seekers analyze --directory . --preset comprehensive # Show available presets skill-seekers analyze --preset-list # Customize presets skill-seekers analyze --directory . --preset quick --enhance-level 1 ``` ### Backward Compatibility - Old flags still work: --quick, --comprehensive, --depth - Clear deprecation warnings with migration paths - "Will be removed in v3.0.0" notices ### CLI Override Support Users can customize preset defaults: ```bash skill-seekers analyze --preset quick --skip-patterns false skill-seekers analyze --preset standard --enhance-level 2 ``` ## Testing All tests passing: - 24 preset system tests (test_preset_system.py) - 16 CLI parser tests (test_cli_parsers.py) - 15 upload integration tests (test_upload_integration.py) Total: 55/55 PASS ## Benefits ### Before (Hardcoded) ```python if args.quick: args.depth = "surface" args.skip_patterns = True # ... 13 more assignments elif args.comprehensive: args.depth = "full" # ... 13 more assignments else: # ... 13 more assignments ``` **Problems:** 28 lines, repetitive, hard to maintain ### After (PresetManager) ```python preset_name = args.preset or ("quick" if args.quick else "standard") preset_args = PresetManager.apply_preset(preset_name, vars(args)) for key, value in preset_args.items(): setattr(args, key, value) ``` **Benefits:** 7 lines, clean, maintainable, extensible ## Migration Guide Deprecation warnings guide users: ``` ⚠️ DEPRECATED: --quick → use --preset quick instead ⚠️ DEPRECATED: --comprehensive → use --preset comprehensive instead ⚠️ DEPRECATED: --depth full → use --preset comprehensive instead 💡 MIGRATION TIP: --preset quick (1-2 min, basic features) --preset standard (5-10 min, core features, DEFAULT) --preset comprehensive (20-60 min, all features + AI) ⚠️ Deprecated flags will be removed in v3.0.0 ``` ## Architecture Strategy Pattern implementation: - PresetManager handles preset selection and application - AnalysisPreset dataclass ensures type safety - Factory pattern makes adding new presets easy - CLI overrides provide customization flexibility ## Related Changes Phase 4 is part of the v2.11.0 RAG & CLI improvements: - Phase 1: Chunking Integration ✅ - Phase 2: Upload Integration ✅ - Phase 3: CLI Refactoring ✅ - Phase 4: Preset System ✅ (this commit) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> |