* 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>
727 lines
22 KiB
Python
727 lines
22 KiB
Python
#!/usr/bin/env python3
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"""
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Tests for Unified Multi-Source Scraper
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Covers:
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- Config validation (unified vs legacy)
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- Conflict detection
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- Rule-based merging
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- Skill building
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"""
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import json
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import os
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import tempfile
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from pathlib import Path
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import pytest
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from skill_seekers.cli.config_validator import ConfigValidator, validate_config
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from skill_seekers.cli.conflict_detector import Conflict, ConflictDetector
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from skill_seekers.cli.merge_sources import RuleBasedMerger
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from skill_seekers.cli.unified_skill_builder import UnifiedSkillBuilder
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# ===========================
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# Config Validation Tests
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# ===========================
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def test_detect_unified_format():
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"""Test unified format detection and legacy rejection"""
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import json
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import tempfile
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unified_config = {
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"name": "test",
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"description": "Test skill",
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"sources": [{"type": "documentation", "base_url": "https://example.com"}],
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}
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legacy_config = {"name": "test", "description": "Test skill", "base_url": "https://example.com"}
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# Test unified detection
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with tempfile.NamedTemporaryFile(mode="w", suffix=".json", delete=False) as f:
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json.dump(unified_config, f)
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config_path = f.name
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try:
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validator = ConfigValidator(config_path)
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assert validator.is_unified
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validator.validate() # Should pass
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finally:
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os.unlink(config_path)
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# Test legacy rejection (legacy format removed in v2.11.0)
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with tempfile.NamedTemporaryFile(mode="w", suffix=".json", delete=False) as f:
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json.dump(legacy_config, f)
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config_path = f.name
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try:
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validator = ConfigValidator(config_path)
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assert validator.is_unified # Always True now
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# Validation should fail for legacy format
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with pytest.raises(ValueError, match="LEGACY CONFIG FORMAT DETECTED"):
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validator.validate()
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finally:
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os.unlink(config_path)
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def test_validate_unified_sources():
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"""Test source type validation"""
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config = {
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"name": "test",
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"description": "Test",
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"sources": [
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{"type": "documentation", "base_url": "https://example.com"},
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{"type": "github", "repo": "user/repo"},
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{"type": "pdf", "path": "/path/to.pdf"},
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],
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}
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validator = ConfigValidator(config)
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validator.validate()
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assert len(validator.config["sources"]) == 3
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def test_validate_invalid_source_type():
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"""Test invalid source type raises error"""
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config = {
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"name": "test",
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"description": "Test",
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"sources": [{"type": "invalid_type", "url": "https://example.com"}],
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}
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validator = ConfigValidator(config)
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with pytest.raises(ValueError, match="Invalid type"):
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validator.validate()
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def test_needs_api_merge():
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"""Test API merge detection"""
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# Config with both docs and GitHub code
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config_needs_merge = {
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"name": "test",
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"description": "Test",
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"sources": [
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{"type": "documentation", "base_url": "https://example.com", "extract_api": True},
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{"type": "github", "repo": "user/repo", "include_code": True},
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],
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}
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validator = ConfigValidator(config_needs_merge)
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assert validator.needs_api_merge()
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# Config with only docs
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config_no_merge = {
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"name": "test",
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"description": "Test",
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"sources": [{"type": "documentation", "base_url": "https://example.com"}],
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}
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validator = ConfigValidator(config_no_merge)
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assert not validator.needs_api_merge()
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def test_backward_compatibility():
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"""Test legacy config rejection (removed in v2.11.0)"""
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legacy_config = {
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"name": "test",
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"description": "Test skill",
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"base_url": "https://example.com",
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"selectors": {"main_content": "article"},
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"max_pages": 100,
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}
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# Legacy format should be rejected with clear error message
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validator = ConfigValidator(legacy_config)
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with pytest.raises(ValueError) as exc_info:
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validator.validate()
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# Check error message provides migration guidance
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error_msg = str(exc_info.value)
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assert "LEGACY CONFIG FORMAT DETECTED" in error_msg
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assert "removed in v2.11.0" in error_msg
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assert "sources" in error_msg # Shows new format requires sources array
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# ===========================
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# Conflict Detection Tests
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# ===========================
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def test_detect_missing_in_docs():
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"""Test detection of APIs missing in documentation"""
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docs_data = {
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"pages": [
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{
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"url": "https://example.com/api",
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"apis": [
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{
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"name": "documented_func",
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"parameters": [{"name": "x", "type": "int"}],
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"return_type": "str",
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}
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],
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}
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]
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}
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github_data = {
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"code_analysis": {
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"analyzed_files": [
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{
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"functions": [
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{
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"name": "undocumented_func",
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"parameters": [{"name": "y", "type_hint": "float"}],
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"return_type": "bool",
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}
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]
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}
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]
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}
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}
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detector = ConflictDetector(docs_data, github_data)
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conflicts = detector._find_missing_in_docs()
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assert len(conflicts) > 0
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assert any(c.type == "missing_in_docs" for c in conflicts)
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assert any(c.api_name == "undocumented_func" for c in conflicts)
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def test_detect_missing_in_code():
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"""Test detection of APIs missing in code"""
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docs_data = {
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"pages": [
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{
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"url": "https://example.com/api",
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"apis": [
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{
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"name": "obsolete_func",
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"parameters": [{"name": "x", "type": "int"}],
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"return_type": "str",
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}
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],
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}
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]
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}
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github_data = {"code_analysis": {"analyzed_files": []}}
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detector = ConflictDetector(docs_data, github_data)
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conflicts = detector._find_missing_in_code()
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assert len(conflicts) > 0
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assert any(c.type == "missing_in_code" for c in conflicts)
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assert any(c.api_name == "obsolete_func" for c in conflicts)
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def test_detect_signature_mismatch():
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"""Test detection of signature mismatches"""
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docs_data = {
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"pages": [
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{
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"url": "https://example.com/api",
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"apis": [
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{
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"name": "func",
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"parameters": [{"name": "x", "type": "int"}],
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"return_type": "str",
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}
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],
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}
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]
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}
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github_data = {
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"code_analysis": {
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"analyzed_files": [
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{
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"functions": [
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{
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"name": "func",
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"parameters": [
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{"name": "x", "type_hint": "int"},
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{"name": "y", "type_hint": "bool", "default": "False"},
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],
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"return_type": "str",
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}
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]
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}
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]
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}
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}
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detector = ConflictDetector(docs_data, github_data)
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conflicts = detector._find_signature_mismatches()
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assert len(conflicts) > 0
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assert any(c.type == "signature_mismatch" for c in conflicts)
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assert any(c.api_name == "func" for c in conflicts)
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def test_conflict_severity():
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"""Test conflict severity assignment"""
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# High severity: missing_in_code
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conflict_high = Conflict(
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type="missing_in_code",
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severity="high",
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api_name="test",
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docs_info={"name": "test"},
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code_info=None,
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difference="API documented but not in code",
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)
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assert conflict_high.severity == "high"
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# Medium severity: missing_in_docs
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conflict_medium = Conflict(
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type="missing_in_docs",
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severity="medium",
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api_name="test",
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docs_info=None,
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code_info={"name": "test"},
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difference="API in code but not documented",
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)
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assert conflict_medium.severity == "medium"
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# ===========================
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# Merge Tests
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# ===========================
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def test_rule_based_merge_docs_only():
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"""Test rule-based merge for docs-only APIs"""
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docs_data = {
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"pages": [
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{
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"url": "https://example.com/api",
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"apis": [
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{
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"name": "docs_only_api",
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"parameters": [{"name": "x", "type": "int"}],
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"return_type": "str",
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}
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],
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}
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]
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}
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github_data = {"code_analysis": {"analyzed_files": []}}
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detector = ConflictDetector(docs_data, github_data)
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conflicts = detector.detect_all_conflicts()
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merger = RuleBasedMerger(docs_data, github_data, conflicts)
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merged = merger.merge_all()
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assert "apis" in merged
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assert "docs_only_api" in merged["apis"]
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assert merged["apis"]["docs_only_api"]["status"] == "docs_only"
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def test_rule_based_merge_code_only():
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"""Test rule-based merge for code-only APIs"""
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docs_data = {"pages": []}
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github_data = {
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"code_analysis": {
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"analyzed_files": [
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{
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"functions": [
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{
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"name": "code_only_api",
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"parameters": [{"name": "y", "type_hint": "float"}],
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"return_type": "bool",
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}
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]
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}
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]
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}
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}
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detector = ConflictDetector(docs_data, github_data)
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conflicts = detector.detect_all_conflicts()
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merger = RuleBasedMerger(docs_data, github_data, conflicts)
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merged = merger.merge_all()
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assert "apis" in merged
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assert "code_only_api" in merged["apis"]
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assert merged["apis"]["code_only_api"]["status"] == "code_only"
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def test_rule_based_merge_matched():
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"""Test rule-based merge for matched APIs"""
|
|
docs_data = {
|
|
"pages": [
|
|
{
|
|
"url": "https://example.com/api",
|
|
"apis": [
|
|
{
|
|
"name": "matched_api",
|
|
"parameters": [{"name": "x", "type": "int"}],
|
|
"return_type": "str",
|
|
}
|
|
],
|
|
}
|
|
]
|
|
}
|
|
|
|
github_data = {
|
|
"code_analysis": {
|
|
"analyzed_files": [
|
|
{
|
|
"functions": [
|
|
{
|
|
"name": "matched_api",
|
|
"parameters": [{"name": "x", "type_hint": "int"}],
|
|
"return_type": "str",
|
|
}
|
|
]
|
|
}
|
|
]
|
|
}
|
|
}
|
|
|
|
detector = ConflictDetector(docs_data, github_data)
|
|
conflicts = detector.detect_all_conflicts()
|
|
|
|
merger = RuleBasedMerger(docs_data, github_data, conflicts)
|
|
merged = merger.merge_all()
|
|
|
|
assert "apis" in merged
|
|
assert "matched_api" in merged["apis"]
|
|
assert merged["apis"]["matched_api"]["status"] == "matched"
|
|
|
|
|
|
def test_merge_summary():
|
|
"""Test merge summary statistics"""
|
|
docs_data = {
|
|
"pages": [
|
|
{
|
|
"url": "https://example.com/api",
|
|
"apis": [
|
|
{"name": "api1", "parameters": [], "return_type": "str"},
|
|
{"name": "api2", "parameters": [], "return_type": "int"},
|
|
],
|
|
}
|
|
]
|
|
}
|
|
|
|
github_data = {
|
|
"code_analysis": {
|
|
"analyzed_files": [
|
|
{"functions": [{"name": "api3", "parameters": [], "return_type": "bool"}]}
|
|
]
|
|
}
|
|
}
|
|
|
|
detector = ConflictDetector(docs_data, github_data)
|
|
conflicts = detector.detect_all_conflicts()
|
|
|
|
merger = RuleBasedMerger(docs_data, github_data, conflicts)
|
|
merged = merger.merge_all()
|
|
|
|
assert "summary" in merged
|
|
assert merged["summary"]["total_apis"] == 3
|
|
assert merged["summary"]["docs_only"] == 2
|
|
assert merged["summary"]["code_only"] == 1
|
|
|
|
|
|
# ===========================
|
|
# Skill Builder Tests
|
|
# ===========================
|
|
|
|
|
|
def test_skill_builder_basic():
|
|
"""Test basic skill building"""
|
|
config = {
|
|
"name": "test_skill",
|
|
"description": "Test skill description",
|
|
"sources": [{"type": "documentation", "base_url": "https://example.com"}],
|
|
}
|
|
|
|
scraped_data = {"documentation": {"pages": [], "data_file": "/tmp/test.json"}}
|
|
|
|
with tempfile.TemporaryDirectory() as tmpdir:
|
|
# Override output directory
|
|
builder = UnifiedSkillBuilder(config, scraped_data)
|
|
builder.skill_dir = tmpdir
|
|
|
|
builder._generate_skill_md()
|
|
|
|
# Check SKILL.md was created
|
|
skill_md = Path(tmpdir) / "SKILL.md"
|
|
assert skill_md.exists()
|
|
|
|
content = skill_md.read_text()
|
|
assert "test_skill" in content.lower()
|
|
assert "Test skill description" in content
|
|
|
|
|
|
def test_skill_builder_with_conflicts():
|
|
"""Test skill building with conflicts"""
|
|
config = {
|
|
"name": "test_skill",
|
|
"description": "Test",
|
|
"sources": [
|
|
{"type": "documentation", "base_url": "https://example.com"},
|
|
{"type": "github", "repo": "user/repo"},
|
|
],
|
|
}
|
|
|
|
scraped_data = {}
|
|
|
|
conflicts = [
|
|
Conflict(
|
|
type="missing_in_code",
|
|
severity="high",
|
|
api_name="test_api",
|
|
docs_info={"name": "test_api"},
|
|
code_info=None,
|
|
difference="Test difference",
|
|
)
|
|
]
|
|
|
|
with tempfile.TemporaryDirectory() as tmpdir:
|
|
builder = UnifiedSkillBuilder(config, scraped_data, conflicts=conflicts)
|
|
builder.skill_dir = tmpdir
|
|
|
|
builder._generate_skill_md()
|
|
|
|
skill_md = Path(tmpdir) / "SKILL.md"
|
|
content = skill_md.read_text()
|
|
|
|
assert "1 conflicts detected" in content
|
|
assert "missing_in_code" in content
|
|
|
|
|
|
def test_skill_builder_merged_apis():
|
|
"""Test skill building with merged APIs"""
|
|
config = {"name": "test", "description": "Test", "sources": []}
|
|
|
|
scraped_data = {}
|
|
|
|
merged_data = {
|
|
"apis": {
|
|
"test_api": {
|
|
"name": "test_api",
|
|
"status": "matched",
|
|
"merged_signature": "test_api(x: int) -> str",
|
|
"merged_description": "Test API",
|
|
"source": "both",
|
|
}
|
|
}
|
|
}
|
|
|
|
with tempfile.TemporaryDirectory() as tmpdir:
|
|
builder = UnifiedSkillBuilder(config, scraped_data, merged_data=merged_data)
|
|
builder.skill_dir = tmpdir
|
|
|
|
content = builder._format_merged_apis()
|
|
|
|
assert "✅ Verified APIs" in content
|
|
assert "test_api" in content
|
|
|
|
|
|
# ===========================
|
|
# Integration Tests
|
|
# ===========================
|
|
|
|
|
|
def test_full_workflow_unified_config():
|
|
"""Test complete workflow with unified config"""
|
|
# Create test config
|
|
config = {
|
|
"name": "test_unified",
|
|
"description": "Test unified workflow",
|
|
"merge_mode": "rule-based",
|
|
"sources": [
|
|
{"type": "documentation", "base_url": "https://example.com", "extract_api": True},
|
|
{
|
|
"type": "github",
|
|
"repo": "user/repo",
|
|
"include_code": True,
|
|
"code_analysis_depth": "surface",
|
|
},
|
|
],
|
|
}
|
|
|
|
# Validate config
|
|
validator = ConfigValidator(config)
|
|
validator.validate()
|
|
assert validator.is_unified
|
|
assert validator.needs_api_merge()
|
|
|
|
|
|
def test_config_file_validation():
|
|
"""Test validation from config file"""
|
|
with tempfile.NamedTemporaryFile(mode="w", suffix=".json", delete=False) as f:
|
|
config = {
|
|
"name": "test",
|
|
"description": "Test",
|
|
"sources": [{"type": "documentation", "base_url": "https://example.com"}],
|
|
}
|
|
json.dump(config, f)
|
|
config_path = f.name
|
|
|
|
try:
|
|
validator = validate_config(config_path)
|
|
assert validator.is_unified
|
|
finally:
|
|
os.unlink(config_path)
|
|
|
|
|
|
# ===========================
|
|
# Workflow JSON Config Tests
|
|
# ===========================
|
|
|
|
|
|
class TestWorkflowJsonConfig:
|
|
"""Test that UnifiedScraper.run() merges JSON workflow fields into effective_args."""
|
|
|
|
def _make_scraper(self, tmp_path, extra_config=None):
|
|
"""Build a minimal UnifiedScraper backed by a temp config file."""
|
|
from skill_seekers.cli.unified_scraper import UnifiedScraper
|
|
|
|
config = {
|
|
"name": "test_workflow",
|
|
"description": "Test workflow config",
|
|
"sources": [],
|
|
**(extra_config or {}),
|
|
}
|
|
cfg_file = tmp_path / "config.json"
|
|
cfg_file.write_text(json.dumps(config))
|
|
scraper = UnifiedScraper.__new__(UnifiedScraper)
|
|
scraper.config = config
|
|
scraper.name = config["name"]
|
|
return scraper
|
|
|
|
def test_json_workflows_merged_when_args_none(self, tmp_path, monkeypatch):
|
|
"""JSON 'workflows' list is used even when args=None."""
|
|
captured = {}
|
|
|
|
def fake_run_workflows(args, context=None): # noqa: ARG001
|
|
captured["enhance_workflow"] = getattr(args, "enhance_workflow", None)
|
|
|
|
monkeypatch.setattr(
|
|
"skill_seekers.cli.workflow_runner.run_workflows", fake_run_workflows, raising=False
|
|
)
|
|
import skill_seekers.cli.unified_scraper as us_module
|
|
|
|
monkeypatch.setattr(us_module, "run_workflows", fake_run_workflows, raising=False)
|
|
|
|
scraper = self._make_scraper(tmp_path, {"workflows": ["security-focus", "minimal"]})
|
|
# Patch _merge_workflow_config inline by directly testing the logic
|
|
import argparse
|
|
|
|
effective_args = argparse.Namespace(
|
|
enhance_workflow=None, enhance_stage=None, var=None, workflow_dry_run=False
|
|
)
|
|
json_workflows = scraper.config.get("workflows", [])
|
|
if json_workflows:
|
|
effective_args.enhance_workflow = (
|
|
list(effective_args.enhance_workflow or []) + json_workflows
|
|
)
|
|
assert effective_args.enhance_workflow == ["security-focus", "minimal"]
|
|
|
|
def test_json_workflows_appended_after_cli(self, tmp_path):
|
|
"""CLI --enhance-workflow values come first; JSON 'workflows' appended after."""
|
|
import argparse
|
|
|
|
config = {
|
|
"name": "test",
|
|
"description": "test",
|
|
"sources": [],
|
|
"workflows": ["json-wf"],
|
|
}
|
|
cfg_file = tmp_path / "config.json"
|
|
cfg_file.write_text(json.dumps(config))
|
|
|
|
cli_args = argparse.Namespace(
|
|
enhance_workflow=["cli-wf"],
|
|
enhance_stage=None,
|
|
var=None,
|
|
workflow_dry_run=False,
|
|
)
|
|
json_workflows = config.get("workflows", [])
|
|
effective = argparse.Namespace(
|
|
enhance_workflow=list(cli_args.enhance_workflow or []) + json_workflows,
|
|
enhance_stage=None,
|
|
var=None,
|
|
workflow_dry_run=False,
|
|
)
|
|
assert effective.enhance_workflow == ["cli-wf", "json-wf"]
|
|
|
|
def test_json_workflow_stages_merged(self, tmp_path):
|
|
"""JSON 'workflow_stages' are appended to enhance_stage."""
|
|
import argparse
|
|
|
|
config = {"workflow_stages": ["sec:Analyze security", "cleanup:Remove boilerplate"]}
|
|
effective_args = argparse.Namespace(
|
|
enhance_workflow=None, enhance_stage=None, var=None, workflow_dry_run=False
|
|
)
|
|
json_stages = config.get("workflow_stages", [])
|
|
if json_stages:
|
|
effective_args.enhance_stage = list(effective_args.enhance_stage or []) + json_stages
|
|
assert effective_args.enhance_stage == [
|
|
"sec:Analyze security",
|
|
"cleanup:Remove boilerplate",
|
|
]
|
|
|
|
def test_json_workflow_vars_converted_to_kv_strings(self, tmp_path):
|
|
"""JSON 'workflow_vars' dict is converted to 'key=value' strings."""
|
|
import argparse
|
|
|
|
config = {"workflow_vars": {"focus_area": "performance", "detail_level": "basic"}}
|
|
effective_args = argparse.Namespace(
|
|
enhance_workflow=None, enhance_stage=None, var=None, workflow_dry_run=False
|
|
)
|
|
json_vars = config.get("workflow_vars", {})
|
|
if json_vars:
|
|
effective_args.var = list(effective_args.var or []) + [
|
|
f"{k}={v}" for k, v in json_vars.items()
|
|
]
|
|
assert "focus_area=performance" in effective_args.var
|
|
assert "detail_level=basic" in effective_args.var
|
|
|
|
def test_config_validator_accepts_workflow_fields(self, tmp_path):
|
|
"""ConfigValidator should not raise on workflow-related top-level fields."""
|
|
from skill_seekers.cli.config_validator import ConfigValidator
|
|
|
|
config = {
|
|
"name": "test",
|
|
"description": "Test with workflows",
|
|
"sources": [{"type": "documentation", "base_url": "https://example.com"}],
|
|
"workflows": ["security-focus"],
|
|
"workflow_stages": ["custom:Do something"],
|
|
"workflow_vars": {"key": "value"},
|
|
}
|
|
validator = ConfigValidator(config)
|
|
# Should not raise
|
|
assert validator.validate() is True
|
|
|
|
def test_empty_workflow_config_no_effect(self, tmp_path):
|
|
"""If no JSON workflow fields exist, effective_args remains unchanged."""
|
|
import argparse
|
|
|
|
config = {"name": "test", "description": "test", "sources": []}
|
|
effective_args = argparse.Namespace(
|
|
enhance_workflow=None, enhance_stage=None, var=None, workflow_dry_run=False
|
|
)
|
|
json_workflows = config.get("workflows", [])
|
|
json_stages = config.get("workflow_stages", [])
|
|
json_vars = config.get("workflow_vars", {})
|
|
has_json = bool(json_workflows or json_stages or json_vars)
|
|
assert not has_json
|
|
assert effective_args.enhance_workflow is None
|
|
assert effective_args.enhance_stage is None
|
|
assert effective_args.var is None
|
|
|
|
|
|
# Run tests
|
|
if __name__ == "__main__":
|
|
pytest.main([__file__, "-v"])
|