5 Commits

Author SHA1 Message Date
yusyus
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>
2026-04-05 23:00:52 +03:00
yusyus
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>
2026-02-22 21:52:04 +03:00
yusyus
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
2026-02-08 14:42:27 +03:00
yusyus
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>
2026-02-08 12:46:38 +03:00
yusyus
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>
2026-02-08 01:56:01 +03:00