firefrost-gaming/skill-seekers-reference
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skill-seekers-reference/pyproject.toml
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

449 lines
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[build-system]
requires = ["setuptools>=61.0", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "skill-seekers"
version = "3.4.0"
description = "Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills. International support with Chinese (简体中文) documentation."
readme = "README.md"
requires-python = ">=3.10"
license = {text = "MIT"}
authors = [
{name = "Yusuf Karaaslan"}
]
keywords = [
"claude",
"ai",
"documentation",
"scraping",
"skills",
"llm",
"mcp",
"automation",
"i18n",
"chinese",
"international"
]
classifiers = [
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"Topic :: Software Development :: Documentation",
"Topic :: Software Development :: Libraries :: Python Modules",
"Topic :: Text Processing :: Markup :: Markdown",
"Natural Language :: English",
"Natural Language :: Chinese (Simplified)",
]
# Core dependencies
dependencies = [
"requests>=2.32.5",
"beautifulsoup4>=4.14.2",
"PyGithub>=2.5.0",
"GitPython>=3.1.40",
"httpx>=0.28.1", # Required for async scraping (core feature)
"anthropic>=0.76.0", # Required for AI enhancement (core feature)
"PyMuPDF>=1.24.14",
"Pillow>=11.0.0",
"pydantic>=2.12.3",
"pydantic-settings>=2.11.0",
"python-dotenv>=1.1.1",
"jsonschema>=4.25.1",
"click>=8.3.0",
"Pygments>=2.19.2",
"pathspec>=0.12.1",
"networkx>=3.0",
"tomli>=2.0.0; python_version < '3.11'", # TOML parser for version reading
"schedule>=1.2.0", # Required for sync monitoring
"PyYAML>=6.0", # Required for workflow preset management
"langchain>=1.2.10",
"llama-index>=0.14.15",
]
[project.optional-dependencies]
# MCP server dependencies (NOW TRULY OPTIONAL)
mcp = [
"mcp>=1.25,<2",
"httpx>=0.28.1",
"httpx-sse>=0.4.3",
"uvicorn>=0.38.0",
"starlette>=0.48.0",
"sse-starlette>=3.0.2",
]
# LLM platform-specific dependencies
# Google Gemini support
gemini = [
"google-generativeai>=0.8.0",
]
# OpenAI ChatGPT support
openai = [
"openai>=1.0.0",
]
# MiniMax AI support (uses OpenAI-compatible API)
minimax = [
"openai>=1.0.0",
]
# Kimi (Moonshot AI) support (uses OpenAI-compatible API)
kimi = [
"openai>=1.0.0",
]
# DeepSeek AI support (uses OpenAI-compatible API)
deepseek = [
"openai>=1.0.0",
]
# Qwen (Alibaba) support (uses OpenAI-compatible API)
qwen = [
"openai>=1.0.0",
]
# OpenRouter support (uses OpenAI-compatible API)
openrouter = [
"openai>=1.0.0",
]
# Together AI support (uses OpenAI-compatible API)
together = [
"openai>=1.0.0",
]
# Fireworks AI support (uses OpenAI-compatible API)
fireworks = [
"openai>=1.0.0",
]
# All LLM platforms combined
all-llms = [
"google-generativeai>=0.8.0",
"openai>=1.0.0",
]
# Cloud storage support
s3 = [
"boto3>=1.34.0",
]
gcs = [
"google-cloud-storage>=2.10.0",
]
azure = [
"azure-storage-blob>=12.19.0",
]
# Word document (.docx) support
docx = [
"mammoth>=1.6.0",
"python-docx>=1.1.0",
]
# EPUB (.epub) support
epub = [
"ebooklib>=0.18",
]
# Video processing (lightweight: YouTube transcripts + metadata)
video = [
"yt-dlp>=2024.12.0",
"youtube-transcript-api>=1.2.0",
]
# Video processing (full: + Whisper + visual extraction)
# NOTE: easyocr removed — it pulls torch with the wrong GPU variant.
# Use: skill-seekers video --setup (auto-detects GPU, installs correct PyTorch + easyocr)
video-full = [
"yt-dlp>=2024.12.0",
"youtube-transcript-api>=1.2.0",
"faster-whisper>=1.0.0",
"scenedetect[opencv]>=0.6.4",
"opencv-python-headless>=4.9.0",
"pytesseract>=0.3.13",
]
# RAG vector database upload support
chroma = [
"chromadb>=0.4.0",
]
weaviate = [
"weaviate-client>=3.25.0",
]
sentence-transformers = [
"sentence-transformers>=2.2.0",
]
pinecone = [
"pinecone>=5.0.0",
]
rag-upload = [
"chromadb>=0.4.0",
"weaviate-client>=3.25.0",
"sentence-transformers>=2.2.0",
"pinecone>=5.0.0",
]
# All cloud storage providers combined
all-cloud = [
"boto3>=1.34.0",
"google-cloud-storage>=2.10.0",
"azure-storage-blob>=12.19.0",
]
# New source type dependencies (v3.2.0+)
jupyter = [
"nbformat>=5.9.0",
]
asciidoc = [
"asciidoc>=10.0.0",
]
pptx = [
"python-pptx>=0.6.21",
]
confluence = [
"atlassian-python-api>=3.41.0",
]
notion = [
"notion-client>=2.0.0",
]
rss = [
"feedparser>=6.0.0",
]
chat = [
"slack-sdk>=3.27.0",
]
# Headless browser for JavaScript SPA sites
browser = [
"playwright>=1.40.0",
]
# Embedding server support
embedding = [
"fastapi>=0.109.0",
"uvicorn>=0.27.0",
"sentence-transformers>=2.3.0",
"numpy>=1.24.0",
"voyageai>=0.2.0",
]
# All optional dependencies combined (dev dependencies now in [dependency-groups])
# Note: video-full deps (opencv, easyocr, faster-whisper) excluded due to heavy
# native dependencies. Install separately: pip install skill-seekers[video-full]
all = [
"mammoth>=1.6.0",
"python-docx>=1.1.0",
"ebooklib>=0.18",
"yt-dlp>=2024.12.0",
"youtube-transcript-api>=1.2.0",
"mcp>=1.25,<2",
"httpx>=0.28.1",
"httpx-sse>=0.4.3",
"uvicorn>=0.38.0",
"starlette>=0.48.0",
"sse-starlette>=3.0.2",
"google-generativeai>=0.8.0",
"openai>=1.0.0",
"boto3>=1.34.0",
"google-cloud-storage>=2.10.0",
"azure-storage-blob>=12.19.0",
"chromadb>=0.4.0",
"weaviate-client>=3.25.0",
"pinecone>=5.0.0",
"fastapi>=0.109.0",
"sentence-transformers>=2.3.0",
"numpy>=1.24.0",
"voyageai>=0.2.0",
# New source types (v3.2.0+)
"nbformat>=5.9.0",
"asciidoc>=10.0.0",
"python-pptx>=0.6.21",
"atlassian-python-api>=3.41.0",
"notion-client>=2.0.0",
"feedparser>=6.0.0",
"slack-sdk>=3.27.0",
]
[project.urls]
Homepage = "https://skillseekersweb.com/"
Website = "https://skillseekersweb.com/"
Repository = "https://github.com/yusufkaraaslan/Skill_Seekers"
"Bug Tracker" = "https://github.com/yusufkaraaslan/Skill_Seekers/issues"
Documentation = "https://skillseekersweb.com/"
"Config Browser" = "https://skillseekersweb.com/"
"中文文档 (Chinese)" = "https://github.com/yusufkaraaslan/Skill_Seekers/blob/main/README.zh-CN.md"
"Author" = "https://x.com/_yUSyUS_"
"Website Repository" = "https://github.com/yusufkaraaslan/skillseekersweb"
"Community Configs" = "https://github.com/yusufkaraaslan/skill-seekers-configs"
"GitHub Action" = "https://github.com/yusufkaraaslan/skill-seekers-action"
"Plugin" = "https://github.com/yusufkaraaslan/skill-seekers-plugin"
"Homebrew Tap" = "https://github.com/yusufkaraaslan/homebrew-skill-seekers"
[project.scripts]
# Main CLI entry point
skill-seekers = "skill_seekers.cli.main:main"
# Core commands
skill-seekers-create = "skill_seekers.cli.create_command:main"
skill-seekers-enhance = "skill_seekers.cli.enhance_command:main"
skill-seekers-enhance-status = "skill_seekers.cli.enhance_status:main"
skill-seekers-package = "skill_seekers.cli.package_skill:main"
skill-seekers-upload = "skill_seekers.cli.upload_skill:main"
skill-seekers-install = "skill_seekers.cli.install_skill:main"
skill-seekers-install-agent = "skill_seekers.cli.install_agent:main"
# Analysis & utilities
skill-seekers-estimate = "skill_seekers.cli.estimate_pages:main"
skill-seekers-patterns = "skill_seekers.cli.pattern_recognizer:main"
skill-seekers-how-to-guides = "skill_seekers.cli.how_to_guide_builder:main"
skill-seekers-quality = "skill_seekers.cli.quality_metrics:main"
skill-seekers-workflows = "skill_seekers.cli.workflows_command:main"
# Configuration & setup
skill-seekers-config = "skill_seekers.cli.config_command:main"
skill-seekers-doctor = "skill_seekers.cli.doctor:main"
skill-seekers-setup = "skill_seekers.cli.setup_wizard:main"
skill-seekers-resume = "skill_seekers.cli.resume_command:main"
skill-seekers-sync-config = "skill_seekers.cli.sync_config:main"
# Advanced
skill-seekers-cloud = "skill_seekers.cli.cloud_storage_cli:main"
skill-seekers-embed = "skill_seekers.embedding.server:main"
skill-seekers-sync = "skill_seekers.cli.sync_cli:main"
skill-seekers-benchmark = "skill_seekers.cli.benchmark_cli:main"
skill-seekers-stream = "skill_seekers.cli.streaming_ingest:main"
skill-seekers-update = "skill_seekers.cli.incremental_updater:main"
skill-seekers-multilang = "skill_seekers.cli.multilang_support:main"
[tool.setuptools]
package-dir = {"" = "src"}
[tool.setuptools.packages.find]
where = ["src"]
include = ["skill_seekers*"]
namespaces = false
[tool.setuptools.package-data]
skill_seekers = ["py.typed", "workflows/*.yaml"]
[tool.pytest.ini_options]
testpaths = ["tests"]
python_files = ["test_*.py"]
python_classes = ["Test*"]
python_functions = ["test_*"]
addopts = "-v --tb=short --strict-markers"
markers = [
"asyncio: mark test as an async test",
"slow: mark test as slow running (>5 seconds)",
"integration: mark test as integration test (requires external services)",
"e2e: mark test as end-to-end (resource-intensive, may create files)",
"venv: mark test as requiring virtual environment setup",
"bootstrap: mark test as bootstrap feature specific",
"benchmark: mark test as performance benchmark",
]
asyncio_mode = "auto"
asyncio_default_fixture_loop_scope = "function"
[tool.coverage.run]
source = ["src/skill_seekers"]
omit = ["*/tests/*", "*/__pycache__/*", "*/venv/*"]
[tool.coverage.report]
exclude_lines = [
"pragma: no cover",
"def __repr__",
"raise AssertionError",
"raise NotImplementedError",
"if __name__ == .__main__.:",
"if TYPE_CHECKING:",
"@abstractmethod",
]
[tool.ruff]
line-length = 100
target-version = "py310"
src = ["src", "tests"]
[tool.ruff.lint]
select = [
"E", # pycodestyle errors
"W", # pycodestyle warnings
"F", # Pyflakes
"I", # isort
"B", # flake8-bugbear
"C4", # flake8-comprehensions
"UP", # pyupgrade
"ARG", # flake8-unused-arguments
"SIM", # flake8-simplify
]
ignore = [
"E501", # line too long (handled by formatter)
"F541", # f-string without placeholders (style preference)
"ARG002", # unused method argument (often needed for interface compliance)
"B007", # loop control variable not used (sometimes intentional)
"I001", # import block unsorted (handled by formatter)
"SIM114", # combine if branches (style preference, can reduce readability)
]
[tool.ruff.lint.isort]
known-first-party = ["skill_seekers"]
[tool.mypy]
python_version = "3.10"
warn_return_any = true
warn_unused_configs = true
disallow_untyped_defs = false
disallow_incomplete_defs = false
check_untyped_defs = true
ignore_missing_imports = true
show_error_codes = true
pretty = true
[[tool.mypy.overrides]]
module = "tests.*"
disallow_untyped_defs = false
check_untyped_defs = false
[dependency-groups]
dev = [
# Core testing
"pytest>=8.4.2",
"pytest-asyncio>=0.24.0",
"pytest-cov>=7.0.0",
"coverage>=7.11.0",
# Code quality
"ruff>=0.14.13",
"mypy>=1.19.1",
# Test dependencies (Kimi's finding #3)
"psutil>=5.9.0", # Process utilities for testing
"numpy>=1.24.0", # Numerical operations
"starlette>=0.31.0", # HTTP transport testing
"httpx>=0.24.0", # HTTP client for testing
# Cloud storage testing (Kimi's finding #2)
"boto3>=1.26.0", # AWS S3
"google-cloud-storage>=2.10.0", # Google Cloud Storage
"azure-storage-blob>=12.17.0", # Azure Blob Storage
]
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