feat(B2): add Microsoft Word (.docx) support
Implements ROADMAP task B2 — full .docx scraping support via mammoth + python-docx, producing SKILL.md + references/ output identical to other source types. New files: - src/skill_seekers/cli/word_scraper.py — WordToSkillConverter class + main() entry point (~600 lines); mammoth → BeautifulSoup pipeline; handles headings, code detection (incl. monospace <p><br> blocks), tables, images, metadata extraction - src/skill_seekers/cli/arguments/word.py — add_word_arguments() + WORD_ARGUMENTS dict - src/skill_seekers/cli/parsers/word_parser.py — WordParser for unified CLI parser registry - tests/test_word_scraper.py — comprehensive test suite (~300 lines) Modified files: - src/skill_seekers/cli/main.py — registered "word" command module - src/skill_seekers/cli/source_detector.py — .docx auto-detection + _detect_word() classmethod - src/skill_seekers/cli/create_command.py — _route_word() + --help-word - src/skill_seekers/cli/arguments/create.py — WORD_ARGUMENTS + routing - src/skill_seekers/cli/arguments/__init__.py — export word args - src/skill_seekers/cli/parsers/__init__.py — register WordParser - src/skill_seekers/cli/unified_scraper.py — _scrape_word() integration - src/skill_seekers/cli/pdf_scraper.py — fix: real enhancement instead of stub; remove [:3] reference file limit; capture run_workflows return - src/skill_seekers/cli/github_scraper.py — fix: remove arbitrary open_issues[:20] / closed_issues[:10] reference file limits - pyproject.toml — skill-seekers-word entry point + docx optional dep - tests/test_cli_parsers.py — update parser count 21→22 Bug fixes applied during real-world testing: - Code detection: detect monospace <p><br> blocks as code (mammoth renders Courier paragraphs this way, not as <pre>/<code>) - Language detector: fix wrong method name detect_from_text → detect_from_code - Description inference: pass None from main() so extract_docx() can infer description from Word document subject/title metadata - Bullet-point guard: exclude prose starting with •/-/* from code scoring - Enhancement: implement real API/LOCAL enhancement (was stub) - pip install message: add quotes around skill-seekers[docx] Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
yusyus
72
AGENTS.md
72
AGENTS.md
@@ -12,10 +12,12 @@ This file provides essential guidance for AI coding agents working with the Skil
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| Attribute | Value |
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|-----------|-------|
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| **Current Version** | 3.0.0 |
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| **Current Version** | 3.1.3 |
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| **Python Version** | 3.10+ (tested on 3.10, 3.11, 3.12, 3.13) |
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| **License** | MIT |
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| **Package Name** | `skill-seekers` (PyPI) |
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| **Source Files** | 169 Python files |
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| **Test Files** | 101 test files |
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| **Website** | https://skillseekersweb.com/ |
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| **Repository** | https://github.com/yusufkaraaslan/Skill_Seekers |
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@@ -55,7 +57,7 @@ This file provides essential guidance for AI coding agents working with the Skil
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```
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/mnt/1ece809a-2821-4f10-aecb-fcdf34760c0b/Git/Skill_Seekers/
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├── src/skill_seekers/ # Main source code (src/ layout)
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│ ├── cli/ # CLI tools and commands (~42k lines)
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│ ├── cli/ # CLI tools and commands (~70 modules)
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│ │ ├── adaptors/ # Platform adaptors (Strategy pattern)
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│ │ │ ├── base.py # Abstract base class (SkillAdaptor)
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│ │ │ ├── claude.py # Claude AI adaptor
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@@ -70,12 +72,6 @@ This file provides essential guidance for AI coding agents working with the Skil
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│ │ │ ├── qdrant.py # Qdrant vector DB adaptor
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│ │ │ ├── weaviate.py # Weaviate vector DB adaptor
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│ │ │ └── streaming_adaptor.py # Streaming output adaptor
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│ │ ├── storage/ # Cloud storage backends
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│ │ │ ├── base_storage.py # Storage interface
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│ │ │ ├── s3_storage.py # AWS S3 support
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│ │ │ ├── gcs_storage.py # Google Cloud Storage
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│ │ │ └── azure_storage.py # Azure Blob Storage
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│ │ ├── parsers/ # CLI argument parsers
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│ │ ├── arguments/ # CLI argument definitions
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│ │ ├── presets/ # Preset configuration management
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│ │ ├── main.py # Unified CLI entry point
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@@ -85,6 +81,7 @@ This file provides essential guidance for AI coding agents working with the Skil
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│ │ ├── pdf_scraper.py # PDF extraction
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│ │ ├── unified_scraper.py # Multi-source scraping
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│ │ ├── codebase_scraper.py # Local codebase analysis
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│ │ ├── enhance_command.py # AI enhancement command
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│ │ ├── enhance_skill_local.py # AI enhancement (local mode)
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│ │ ├── package_skill.py # Skill packager
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│ │ ├── upload_skill.py # Upload to platforms
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@@ -101,8 +98,8 @@ This file provides essential guidance for AI coding agents working with the Skil
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│ │ ├── source_manager.py # Config source management
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│ │ └── tools/ # MCP tool implementations
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│ │ ├── config_tools.py # Configuration tools
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│ │ ├── scraping_tools.py # Scraping tools
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│ │ ├── packaging_tools.py # Packaging tools
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│ │ ├── scraping_tools.py # Scraping tools
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│ │ ├── source_tools.py # Source management tools
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│ │ ├── splitting_tools.py # Config splitting tools
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│ │ ├── vector_db_tools.py # Vector database tools
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@@ -124,7 +121,7 @@ This file provides essential guidance for AI coding agents working with the Skil
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│ ├── workflows/ # YAML workflow presets
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│ ├── _version.py # Version information (reads from pyproject.toml)
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│ └── __init__.py # Package init
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├── tests/ # Test suite (98 test files)
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├── tests/ # Test suite (101 test files)
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├── configs/ # Preset configuration files
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├── docs/ # Documentation (80+ markdown files)
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│ ├── integrations/ # Platform integration guides
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@@ -134,17 +131,6 @@ This file provides essential guidance for AI coding agents working with the Skil
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│ ├── blog/ # Blog posts
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│ └── roadmap/ # Roadmap documents
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├── examples/ # Usage examples
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│ ├── langchain-rag-pipeline/ # LangChain example
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│ ├── llama-index-query-engine/ # LlamaIndex example
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│ ├── pinecone-upsert/ # Pinecone example
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│ ├── chroma-example/ # Chroma example
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│ ├── weaviate-example/ # Weaviate example
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│ ├── qdrant-example/ # Qdrant example
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│ ├── faiss-example/ # FAISS example
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│ ├── haystack-pipeline/ # Haystack example
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│ ├── cursor-react-skill/ # Cursor IDE example
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│ ├── windsurf-fastapi-context/ # Windsurf example
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│ └── continue-dev-universal/ # Continue.dev example
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├── .github/workflows/ # CI/CD workflows
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├── pyproject.toml # Main project configuration
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├── requirements.txt # Pinned dependencies
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@@ -259,7 +245,7 @@ pytest tests/ -v -m "not slow and not integration"
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### Test Architecture
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- **98 test files** covering all features
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- **101 test files** covering all features
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- **1880+ tests** passing
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- CI Matrix: Ubuntu + macOS, Python 3.10-3.12
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- Test markers defined in `pyproject.toml`:
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@@ -316,22 +302,19 @@ mypy src/skill_seekers --show-error-codes --pretty
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- **Ignored rules:** E501, F541, ARG002, B007, I001, SIM114
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- **Import sorting:** isort style with `skill_seekers` as first-party
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### MyPy Configuration (from mypy.ini)
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### MyPy Configuration (from pyproject.toml)
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```ini
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[mypy]
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python_version = 3.10
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warn_return_any = False
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warn_unused_configs = True
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disallow_untyped_defs = False
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check_untyped_defs = True
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ignore_missing_imports = True
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no_implicit_optional = True
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show_error_codes = True
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# Gradual typing - be lenient for now
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disallow_incomplete_defs = False
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disallow_untyped_calls = False
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```toml
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[tool.mypy]
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python_version = "3.10"
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warn_return_any = true
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warn_unused_configs = true
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disallow_untyped_defs = false
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disallow_incomplete_defs = false
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check_untyped_defs = true
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ignore_missing_imports = true
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show_error_codes = true
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pretty = true
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```
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### Code Conventions
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@@ -662,17 +645,6 @@ Preset configs are in `configs/` directory:
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- `astrovalley_unified.json` - Astrovalley
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- `configs/integrations/` - Integration-specific configs
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### Configuration Documentation
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Preset configs are in `configs/` directory:
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- `godot.json` - Godot Engine
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- `blender.json` / `blender-unified.json` - Blender Engine
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- `claude-code.json` - Claude Code
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- `httpx_comprehensive.json` - HTTPX library
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- `medusa-mercurjs.json` - Medusa/MercurJS
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- `astrovalley_unified.json` - Astrovalley
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- `configs/integrations/` - Integration-specific configs
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---
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## Key Dependencies
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@@ -700,6 +672,8 @@ Preset configs are in `configs/` directory:
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| `python-dotenv` | >=1.1.1 | Environment variables |
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| `jsonschema` | >=4.25.1 | JSON validation |
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| `PyYAML` | >=6.0 | YAML parsing |
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| `langchain` | >=1.2.10 | LangChain integration |
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| `llama-index` | >=0.14.15 | LlamaIndex integration |
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### Optional Dependencies
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@@ -852,4 +826,4 @@ Skill Seekers uses JSON configuration files to define scraping targets. Example
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*This document is maintained for AI coding agents. For human contributors, see README.md and CONTRIBUTING.md.*
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*Last updated: 2026-02-16*
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*Last updated: 2026-02-24*
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@@ -109,6 +109,12 @@ azure = [
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"azure-storage-blob>=12.19.0",
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]
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# Word document (.docx) support
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docx = [
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"mammoth>=1.6.0",
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"python-docx>=1.1.0",
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]
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# RAG vector database upload support
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chroma = [
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"chromadb>=0.4.0",
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@@ -146,6 +152,8 @@ embedding = [
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# All optional dependencies combined (dev dependencies now in [dependency-groups])
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all = [
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"mammoth>=1.6.0",
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"python-docx>=1.1.0",
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"mcp>=1.25,<2",
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"httpx>=0.28.1",
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"httpx-sse>=0.4.3",
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@@ -186,6 +194,7 @@ skill-seekers-resume = "skill_seekers.cli.resume_command:main"
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skill-seekers-scrape = "skill_seekers.cli.doc_scraper:main"
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skill-seekers-github = "skill_seekers.cli.github_scraper:main"
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skill-seekers-pdf = "skill_seekers.cli.pdf_scraper:main"
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skill-seekers-word = "skill_seekers.cli.word_scraper:main"
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skill-seekers-unified = "skill_seekers.cli.unified_scraper:main"
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skill-seekers-enhance = "skill_seekers.cli.enhance_command:main"
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skill-seekers-enhance-status = "skill_seekers.cli.enhance_status:main"
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@@ -21,6 +21,7 @@ from .common import add_common_arguments, COMMON_ARGUMENTS
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from .scrape import add_scrape_arguments, SCRAPE_ARGUMENTS
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from .github import add_github_arguments, GITHUB_ARGUMENTS
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from .pdf import add_pdf_arguments, PDF_ARGUMENTS
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from .word import add_word_arguments, WORD_ARGUMENTS
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from .analyze import add_analyze_arguments, ANALYZE_ARGUMENTS
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from .unified import add_unified_arguments, UNIFIED_ARGUMENTS
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from .package import add_package_arguments, PACKAGE_ARGUMENTS
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@@ -38,11 +39,13 @@ __all__ = [
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"add_package_arguments",
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"add_upload_arguments",
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"add_enhance_arguments",
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"add_word_arguments",
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# Data
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"COMMON_ARGUMENTS",
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"SCRAPE_ARGUMENTS",
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"GITHUB_ARGUMENTS",
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"PDF_ARGUMENTS",
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"WORD_ARGUMENTS",
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"ANALYZE_ARGUMENTS",
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"UNIFIED_ARGUMENTS",
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"PACKAGE_ARGUMENTS",
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@@ -389,6 +389,18 @@ PDF_ARGUMENTS: dict[str, dict[str, Any]] = {
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},
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}
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# Word document specific (from word.py)
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WORD_ARGUMENTS: dict[str, dict[str, Any]] = {
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"docx": {
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"flags": ("--docx",),
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"kwargs": {
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"type": str,
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"help": "DOCX file path",
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"metavar": "PATH",
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},
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},
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}
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# Multi-source config specific (from unified_scraper.py)
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CONFIG_ARGUMENTS: dict[str, dict[str, Any]] = {
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"merge_mode": {
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@@ -471,6 +483,7 @@ def get_source_specific_arguments(source_type: str) -> dict[str, dict[str, Any]]
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"github": GITHUB_ARGUMENTS,
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"local": LOCAL_ARGUMENTS,
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"pdf": PDF_ARGUMENTS,
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"word": WORD_ARGUMENTS,
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"config": CONFIG_ARGUMENTS,
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}
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return source_args.get(source_type, {})
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@@ -507,12 +520,13 @@ def add_create_arguments(parser: argparse.ArgumentParser, mode: str = "default")
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- 'github': Universal + github-specific
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- 'local': Universal + local-specific
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- 'pdf': Universal + pdf-specific
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- 'word': Universal + word-specific
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- 'advanced': Advanced/rare arguments
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- 'all': All 120+ arguments
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Args:
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parser: ArgumentParser to add arguments to
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mode: Help mode (default, web, github, local, pdf, advanced, all)
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mode: Help mode (default, web, github, local, pdf, word, advanced, all)
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"""
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# Positional argument for source
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parser.add_argument(
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@@ -543,6 +557,10 @@ def add_create_arguments(parser: argparse.ArgumentParser, mode: str = "default")
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for arg_name, arg_def in PDF_ARGUMENTS.items():
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parser.add_argument(*arg_def["flags"], **arg_def["kwargs"])
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if mode in ["word", "all"]:
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for arg_name, arg_def in WORD_ARGUMENTS.items():
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parser.add_argument(*arg_def["flags"], **arg_def["kwargs"])
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if mode in ["config", "all"]:
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for arg_name, arg_def in CONFIG_ARGUMENTS.items():
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parser.add_argument(*arg_def["flags"], **arg_def["kwargs"])
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66
src/skill_seekers/cli/arguments/word.py
Normal file
66
src/skill_seekers/cli/arguments/word.py
Normal file
@@ -0,0 +1,66 @@
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"""Word document command argument definitions.
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This module defines ALL arguments for the word command in ONE place.
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Both word_scraper.py (standalone) and parsers/word_parser.py (unified CLI)
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import and use these definitions.
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Shared arguments (name, description, output, enhance-level, api-key,
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dry-run, verbose, quiet, workflow args) come from common.py / workflow.py
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via ``add_all_standard_arguments()``.
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"""
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import argparse
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from typing import Any
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from .common import add_all_standard_arguments
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# Word-specific argument definitions as data structure
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# NOTE: Shared args (name, description, output, enhance_level, api_key, dry_run,
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# verbose, quiet, workflow args) are registered by add_all_standard_arguments().
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WORD_ARGUMENTS: dict[str, dict[str, Any]] = {
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"docx": {
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"flags": ("--docx",),
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"kwargs": {
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"type": str,
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"help": "Direct DOCX file path",
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"metavar": "PATH",
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},
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},
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"from_json": {
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"flags": ("--from-json",),
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"kwargs": {
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"type": str,
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"help": "Build skill from extracted JSON",
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"metavar": "FILE",
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},
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},
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}
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def add_word_arguments(parser: argparse.ArgumentParser) -> None:
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"""Add all word command arguments to a parser.
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Registers shared args (name, description, output, enhance-level, api-key,
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dry-run, verbose, quiet, workflow args) via add_all_standard_arguments(),
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then adds Word-specific args on top.
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The default for --enhance-level is overridden to 0 (disabled) for Word.
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"""
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# Shared universal args first
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add_all_standard_arguments(parser)
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# Override enhance-level default to 0 for Word
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for action in parser._actions:
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if hasattr(action, "dest") and action.dest == "enhance_level":
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action.default = 0
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action.help = (
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"AI enhancement level (auto-detects API vs LOCAL mode): "
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"0=disabled (default for Word), 1=SKILL.md only, 2=+architecture/config, 3=full enhancement. "
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"Mode selection: uses API if ANTHROPIC_API_KEY is set, otherwise LOCAL (Claude Code)"
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)
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# Word-specific args
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for arg_name, arg_def in WORD_ARGUMENTS.items():
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flags = arg_def["flags"]
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kwargs = arg_def["kwargs"]
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parser.add_argument(*flags, **kwargs)
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@@ -131,6 +131,8 @@ class CreateCommand:
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return self._route_local()
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elif self.source_info.type == "pdf":
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return self._route_pdf()
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elif self.source_info.type == "word":
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return self._route_word()
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elif self.source_info.type == "config":
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return self._route_config()
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else:
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@@ -320,6 +322,29 @@ class CreateCommand:
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finally:
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sys.argv = original_argv
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def _route_word(self) -> int:
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"""Route to Word document scraper (word_scraper.py)."""
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from skill_seekers.cli import word_scraper
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# Reconstruct argv for word_scraper
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argv = ["word_scraper"]
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# Add DOCX file
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file_path = self.source_info.parsed["file_path"]
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argv.extend(["--docx", file_path])
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# Add universal arguments
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self._add_common_args(argv)
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# Call word_scraper with modified argv
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logger.debug(f"Calling word_scraper with argv: {argv}")
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original_argv = sys.argv
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try:
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sys.argv = argv
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return word_scraper.main()
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finally:
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sys.argv = original_argv
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|
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def _route_config(self) -> int:
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"""Route to unified scraper for config files (unified_scraper.py)."""
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from skill_seekers.cli import unified_scraper
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@@ -442,6 +467,7 @@ Examples:
|
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GitHub: skill-seekers create facebook/react -p standard
|
||||
Local: skill-seekers create ./my-project -p comprehensive
|
||||
PDF: skill-seekers create tutorial.pdf --ocr
|
||||
DOCX: skill-seekers create document.docx
|
||||
Config: skill-seekers create configs/react.json
|
||||
|
||||
Source Auto-Detection:
|
||||
@@ -449,6 +475,7 @@ Source Auto-Detection:
|
||||
• owner/repo → GitHub analysis
|
||||
• ./path → local codebase
|
||||
• file.pdf → PDF extraction
|
||||
• file.docx → Word document extraction
|
||||
• file.json → multi-source config
|
||||
|
||||
Progressive Help (13 → 120+ flags):
|
||||
@@ -483,6 +510,9 @@ Common Workflows:
|
||||
"--help-local", action="store_true", help=argparse.SUPPRESS, dest="_help_local"
|
||||
)
|
||||
parser.add_argument("--help-pdf", action="store_true", help=argparse.SUPPRESS, dest="_help_pdf")
|
||||
parser.add_argument(
|
||||
"--help-word", action="store_true", help=argparse.SUPPRESS, dest="_help_word"
|
||||
)
|
||||
parser.add_argument(
|
||||
"--help-config", action="store_true", help=argparse.SUPPRESS, dest="_help_config"
|
||||
)
|
||||
@@ -532,6 +562,15 @@ Common Workflows:
|
||||
add_create_arguments(parser_pdf, mode="pdf")
|
||||
parser_pdf.print_help()
|
||||
return 0
|
||||
elif args._help_word:
|
||||
parser_word = argparse.ArgumentParser(
|
||||
prog="skill-seekers create",
|
||||
description="Create skill from Word document (.docx)",
|
||||
formatter_class=argparse.RawDescriptionHelpFormatter,
|
||||
)
|
||||
add_create_arguments(parser_word, mode="word")
|
||||
parser_word.print_help()
|
||||
return 0
|
||||
elif args._help_config:
|
||||
parser_config = argparse.ArgumentParser(
|
||||
prog="skill-seekers create",
|
||||
|
||||
@@ -1296,14 +1296,14 @@ Use this skill when you need to:
|
||||
closed_issues = [i for i in issues if i["state"] == "closed"]
|
||||
|
||||
content += f"## Open Issues ({len(open_issues)})\n\n"
|
||||
for issue in open_issues[:20]:
|
||||
for issue in open_issues:
|
||||
labels = ", ".join(issue["labels"]) if issue["labels"] else "No labels"
|
||||
content += f"### #{issue['number']}: {issue['title']}\n"
|
||||
content += f"**Labels:** {labels} | **Created:** {issue['created_at'][:10]}\n"
|
||||
content += f"[View on GitHub]({issue['url']})\n\n"
|
||||
|
||||
content += f"\n## Recently Closed Issues ({len(closed_issues)})\n\n"
|
||||
for issue in closed_issues[:10]:
|
||||
for issue in closed_issues:
|
||||
labels = ", ".join(issue["labels"]) if issue["labels"] else "No labels"
|
||||
content += f"### #{issue['number']}: {issue['title']}\n"
|
||||
content += f"**Labels:** {labels} | **Closed:** {issue['closed_at'][:10]}\n"
|
||||
|
||||
@@ -47,6 +47,7 @@ COMMAND_MODULES = {
|
||||
"scrape": "skill_seekers.cli.doc_scraper",
|
||||
"github": "skill_seekers.cli.github_scraper",
|
||||
"pdf": "skill_seekers.cli.pdf_scraper",
|
||||
"word": "skill_seekers.cli.word_scraper",
|
||||
"unified": "skill_seekers.cli.unified_scraper",
|
||||
"enhance": "skill_seekers.cli.enhance_command",
|
||||
"enhance-status": "skill_seekers.cli.enhance_status",
|
||||
|
||||
@@ -12,6 +12,7 @@ from .config_parser import ConfigParser
|
||||
from .scrape_parser import ScrapeParser
|
||||
from .github_parser import GitHubParser
|
||||
from .pdf_parser import PDFParser
|
||||
from .word_parser import WordParser
|
||||
from .unified_parser import UnifiedParser
|
||||
from .enhance_parser import EnhanceParser
|
||||
from .enhance_status_parser import EnhanceStatusParser
|
||||
@@ -41,6 +42,7 @@ PARSERS = [
|
||||
EnhanceParser(),
|
||||
EnhanceStatusParser(),
|
||||
PDFParser(),
|
||||
WordParser(),
|
||||
UnifiedParser(),
|
||||
EstimateParser(),
|
||||
InstallParser(),
|
||||
|
||||
32
src/skill_seekers/cli/parsers/word_parser.py
Normal file
32
src/skill_seekers/cli/parsers/word_parser.py
Normal file
@@ -0,0 +1,32 @@
|
||||
"""Word document subcommand parser.
|
||||
|
||||
Uses shared argument definitions from arguments.word to ensure
|
||||
consistency with the standalone word_scraper module.
|
||||
"""
|
||||
|
||||
from .base import SubcommandParser
|
||||
from skill_seekers.cli.arguments.word import add_word_arguments
|
||||
|
||||
|
||||
class WordParser(SubcommandParser):
|
||||
"""Parser for word subcommand."""
|
||||
|
||||
@property
|
||||
def name(self) -> str:
|
||||
return "word"
|
||||
|
||||
@property
|
||||
def help(self) -> str:
|
||||
return "Extract from Word document (.docx)"
|
||||
|
||||
@property
|
||||
def description(self) -> str:
|
||||
return "Extract content from Word document (.docx) and generate skill"
|
||||
|
||||
def add_arguments(self, parser):
|
||||
"""Add word-specific arguments.
|
||||
|
||||
Uses shared argument definitions to ensure consistency
|
||||
with word_scraper.py (standalone scraper).
|
||||
"""
|
||||
add_word_arguments(parser)
|
||||
@@ -319,7 +319,7 @@ class PDFToSkillConverter:
|
||||
code_list = page.get("code_samples") or page.get("code_blocks")
|
||||
if code_list:
|
||||
f.write("### Code Examples\n\n")
|
||||
for code in code_list[:3]: # Limit to top 3
|
||||
for code in code_list:
|
||||
lang = code.get("language", "")
|
||||
f.write(f"```{lang}\n{code['code']}\n```\n\n")
|
||||
|
||||
@@ -721,21 +721,44 @@ def main():
|
||||
# ═══════════════════════════════════════════════════════════════════════════
|
||||
# Traditional Enhancement (complements workflow system)
|
||||
# ═══════════════════════════════════════════════════════════════════════════
|
||||
# Note: Runs independently of workflow system (they complement each other)
|
||||
if getattr(args, "enhance_level", 0) > 0:
|
||||
# Traditional AI enhancement (API or LOCAL mode)
|
||||
import os
|
||||
|
||||
api_key = getattr(args, "api_key", None) or os.environ.get("ANTHROPIC_API_KEY")
|
||||
mode = "API" if api_key else "LOCAL"
|
||||
|
||||
print("\n" + "=" * 80)
|
||||
print("🤖 Traditional AI Enhancement")
|
||||
print(f"🤖 Traditional AI Enhancement ({mode} mode, level {args.enhance_level})")
|
||||
print("=" * 80)
|
||||
if workflow_executed:
|
||||
print(f" Running after workflow: {workflow_name}")
|
||||
print(
|
||||
" (Workflow provides specialized analysis, enhancement provides general improvements)"
|
||||
)
|
||||
print(" (Use --enhance-workflow for more control)")
|
||||
print("")
|
||||
# Note: PDF scraper uses enhance_level instead of enhance/enhance_local
|
||||
# This is consistent with the new unified enhancement system
|
||||
|
||||
skill_dir = converter.skill_dir
|
||||
if api_key:
|
||||
try:
|
||||
from skill_seekers.cli.enhance_skill import enhance_skill_md
|
||||
|
||||
enhance_skill_md(skill_dir, api_key)
|
||||
print("✅ API enhancement complete!")
|
||||
except ImportError:
|
||||
print("❌ API enhancement not available. Falling back to LOCAL mode...")
|
||||
from pathlib import Path
|
||||
from skill_seekers.cli.enhance_skill_local import LocalSkillEnhancer
|
||||
|
||||
enhancer = LocalSkillEnhancer(Path(skill_dir))
|
||||
enhancer.run(headless=True)
|
||||
print("✅ Local enhancement complete!")
|
||||
else:
|
||||
from pathlib import Path
|
||||
from skill_seekers.cli.enhance_skill_local import LocalSkillEnhancer
|
||||
|
||||
enhancer = LocalSkillEnhancer(Path(skill_dir))
|
||||
enhancer.run(headless=True)
|
||||
print("✅ Local enhancement complete!")
|
||||
|
||||
except RuntimeError as e:
|
||||
print(f"\n❌ Error: {e}", file=sys.stderr)
|
||||
|
||||
@@ -60,6 +60,9 @@ class SourceDetector:
|
||||
if source.endswith(".pdf"):
|
||||
return cls._detect_pdf(source)
|
||||
|
||||
if source.endswith(".docx"):
|
||||
return cls._detect_word(source)
|
||||
|
||||
# 2. Directory detection
|
||||
if os.path.isdir(source):
|
||||
return cls._detect_local(source)
|
||||
@@ -85,6 +88,7 @@ class SourceDetector:
|
||||
" GitHub: skill-seekers create facebook/react\n"
|
||||
" Local: skill-seekers create ./my-project\n"
|
||||
" PDF: skill-seekers create tutorial.pdf\n"
|
||||
" DOCX: skill-seekers create document.docx\n"
|
||||
" Config: skill-seekers create configs/react.json"
|
||||
)
|
||||
|
||||
@@ -104,6 +108,14 @@ class SourceDetector:
|
||||
type="pdf", parsed={"file_path": source}, suggested_name=name, raw_input=source
|
||||
)
|
||||
|
||||
@classmethod
|
||||
def _detect_word(cls, source: str) -> SourceInfo:
|
||||
"""Detect Word document (.docx) source."""
|
||||
name = os.path.splitext(os.path.basename(source))[0]
|
||||
return SourceInfo(
|
||||
type="word", parsed={"file_path": source}, suggested_name=name, raw_input=source
|
||||
)
|
||||
|
||||
@classmethod
|
||||
def _detect_local(cls, source: str) -> SourceInfo:
|
||||
"""Detect local directory source."""
|
||||
@@ -190,6 +202,13 @@ class SourceDetector:
|
||||
if not os.path.isfile(file_path):
|
||||
raise ValueError(f"Path is not a file: {file_path}")
|
||||
|
||||
elif source_info.type == "word":
|
||||
file_path = source_info.parsed["file_path"]
|
||||
if not os.path.exists(file_path):
|
||||
raise ValueError(f"Word document does not exist: {file_path}")
|
||||
if not os.path.isfile(file_path):
|
||||
raise ValueError(f"Path is not a file: {file_path}")
|
||||
|
||||
elif source_info.type == "config":
|
||||
config_path = source_info.parsed["config_path"]
|
||||
if not os.path.exists(config_path):
|
||||
|
||||
@@ -73,11 +73,12 @@ class UnifiedScraper:
|
||||
"documentation": [], # List of doc sources
|
||||
"github": [], # List of github sources
|
||||
"pdf": [], # List of pdf sources
|
||||
"word": [], # List of word sources
|
||||
"local": [], # List of local sources (docs or code)
|
||||
}
|
||||
|
||||
# Track source index for unique naming (multi-source support)
|
||||
self._source_counters = {"documentation": 0, "github": 0, "pdf": 0, "local": 0}
|
||||
self._source_counters = {"documentation": 0, "github": 0, "pdf": 0, "word": 0, "local": 0}
|
||||
|
||||
# Output paths - cleaner organization
|
||||
self.name = self.config["name"]
|
||||
@@ -151,6 +152,8 @@ class UnifiedScraper:
|
||||
self._scrape_github(source)
|
||||
elif source_type == "pdf":
|
||||
self._scrape_pdf(source)
|
||||
elif source_type == "word":
|
||||
self._scrape_word(source)
|
||||
elif source_type == "local":
|
||||
self._scrape_local(source)
|
||||
else:
|
||||
@@ -514,6 +517,65 @@ class UnifiedScraper:
|
||||
|
||||
logger.info(f"✅ PDF: {len(pdf_data.get('pages', []))} pages extracted")
|
||||
|
||||
def _scrape_word(self, source: dict[str, Any]):
|
||||
"""Scrape Word document (.docx)."""
|
||||
try:
|
||||
from skill_seekers.cli.word_scraper import WordToSkillConverter
|
||||
except ImportError:
|
||||
logger.error("word_scraper.py not found")
|
||||
return
|
||||
|
||||
# Multi-source support: Get unique index for this Word source
|
||||
idx = self._source_counters["word"]
|
||||
self._source_counters["word"] += 1
|
||||
|
||||
# Extract Word identifier for unique naming (filename without extension)
|
||||
docx_path = source["path"]
|
||||
docx_id = os.path.splitext(os.path.basename(docx_path))[0]
|
||||
|
||||
# Create config for Word scraper
|
||||
word_config = {
|
||||
"name": f"{self.name}_word_{idx}_{docx_id}",
|
||||
"docx_path": source["path"],
|
||||
"description": f"{source.get('name', docx_id)} documentation",
|
||||
}
|
||||
|
||||
# Scrape
|
||||
logger.info(f"Scraping Word document: {source['path']}")
|
||||
converter = WordToSkillConverter(word_config)
|
||||
|
||||
# Extract Word content
|
||||
converter.extract_docx()
|
||||
|
||||
# Load extracted data from file
|
||||
word_data_file = converter.data_file
|
||||
with open(word_data_file, encoding="utf-8") as f:
|
||||
word_data = json.load(f)
|
||||
|
||||
# Copy data file to cache
|
||||
cache_word_data = os.path.join(self.data_dir, f"word_data_{idx}_{docx_id}.json")
|
||||
shutil.copy(word_data_file, cache_word_data)
|
||||
|
||||
# Append to list
|
||||
self.scraped_data["word"].append(
|
||||
{
|
||||
"docx_path": docx_path,
|
||||
"docx_id": docx_id,
|
||||
"idx": idx,
|
||||
"data": word_data,
|
||||
"data_file": cache_word_data,
|
||||
}
|
||||
)
|
||||
|
||||
# Build standalone SKILL.md for synthesis
|
||||
try:
|
||||
converter.build_skill()
|
||||
logger.info("✅ Word: Standalone SKILL.md created")
|
||||
except Exception as e:
|
||||
logger.warning(f"⚠️ Failed to build standalone Word SKILL.md: {e}")
|
||||
|
||||
logger.info(f"✅ Word: {len(word_data.get('pages', []))} sections extracted")
|
||||
|
||||
def _scrape_local(self, source: dict[str, Any]):
|
||||
"""
|
||||
Scrape local directory (documentation files or source code).
|
||||
|
||||
1054
src/skill_seekers/cli/word_scraper.py
Normal file
1054
src/skill_seekers/cli/word_scraper.py
Normal file
File diff suppressed because it is too large
Load Diff
@@ -24,12 +24,12 @@ class TestParserRegistry:
|
||||
|
||||
def test_all_parsers_registered(self):
|
||||
"""Test that all parsers are registered."""
|
||||
assert len(PARSERS) == 21, f"Expected 21 parsers, got {len(PARSERS)}"
|
||||
assert len(PARSERS) == 22, f"Expected 22 parsers, got {len(PARSERS)}"
|
||||
|
||||
def test_get_parser_names(self):
|
||||
"""Test getting list of parser names."""
|
||||
names = get_parser_names()
|
||||
assert len(names) == 21
|
||||
assert len(names) == 22
|
||||
assert "scrape" in names
|
||||
assert "github" in names
|
||||
assert "package" in names
|
||||
@@ -242,9 +242,9 @@ class TestBackwardCompatibility:
|
||||
assert cmd in names, f"Command '{cmd}' not found in parser registry!"
|
||||
|
||||
def test_command_count_matches(self):
|
||||
"""Test that we have exactly 21 commands (includes new create and workflows commands)."""
|
||||
assert len(PARSERS) == 21
|
||||
assert len(get_parser_names()) == 21
|
||||
"""Test that we have exactly 22 commands (includes new create, workflows, and word commands)."""
|
||||
assert len(PARSERS) == 22
|
||||
assert len(get_parser_names()) == 22
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
|
||||
677
tests/test_word_scraper.py
Normal file
677
tests/test_word_scraper.py
Normal file
@@ -0,0 +1,677 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Tests for Word Document Scraper (cli/word_scraper.py)
|
||||
|
||||
Tests cover:
|
||||
- Config-based initialization
|
||||
- Direct DOCX path conversion
|
||||
- JSON-based workflow
|
||||
- Skill structure generation
|
||||
- Categorization
|
||||
- Code blocks handling
|
||||
- Tables handling
|
||||
- Image handling
|
||||
- Error handling
|
||||
- CLI argument parsing
|
||||
"""
|
||||
|
||||
import json
|
||||
import shutil
|
||||
import tempfile
|
||||
import unittest
|
||||
from pathlib import Path
|
||||
|
||||
try:
|
||||
import mammoth # noqa: F401
|
||||
import docx as python_docx # noqa: F401
|
||||
|
||||
WORD_AVAILABLE = True
|
||||
except ImportError:
|
||||
WORD_AVAILABLE = False
|
||||
|
||||
|
||||
def _make_sample_extracted_data(num_sections=2, include_code=False, include_tables=False,
|
||||
include_images=False):
|
||||
"""Helper to build a minimal extracted_data dict for testing."""
|
||||
mock_image_bytes = (
|
||||
b"\x89PNG\r\n\x1a\n\x00\x00\x00\rIHDR\x00\x00\x00\x01\x00\x00\x00\x01"
|
||||
b"\x08\x06\x00\x00\x00\x1f\x15\xc4\x89\x00\x00\x00\nIDATx\x9cc\x00\x01"
|
||||
b"\x00\x00\x05\x00\x01\r\n-\xb4\x00\x00\x00\x00IEND\xaeB`\x82"
|
||||
)
|
||||
|
||||
pages = []
|
||||
for i in range(1, num_sections + 1):
|
||||
section = {
|
||||
"section_number": i,
|
||||
"heading": f"Section {i}",
|
||||
"heading_level": "h1",
|
||||
"text": f"Content for section {i}.",
|
||||
"headings": [],
|
||||
"code_samples": [],
|
||||
"tables": [],
|
||||
"images": [],
|
||||
}
|
||||
if include_code:
|
||||
section["code_samples"] = [
|
||||
{"code": f"def hello_{i}():\n return 'world'", "language": "python",
|
||||
"quality_score": 7.5}
|
||||
]
|
||||
if include_tables:
|
||||
section["tables"] = [
|
||||
{"headers": ["Col A", "Col B"], "rows": [["val1", "val2"], ["val3", "val4"]]}
|
||||
]
|
||||
if include_images:
|
||||
section["images"] = [
|
||||
{"index": 0, "data": mock_image_bytes, "width": 100, "height": 80}
|
||||
]
|
||||
pages.append(section)
|
||||
|
||||
return {
|
||||
"source_file": "test.docx",
|
||||
"metadata": {"title": "Test Doc", "author": "Test Author", "created": "", "modified": "",
|
||||
"subject": ""},
|
||||
"total_sections": num_sections,
|
||||
"total_code_blocks": num_sections if include_code else 0,
|
||||
"total_images": num_sections if include_images else 0,
|
||||
"languages_detected": {"python": num_sections} if include_code else {},
|
||||
"pages": pages,
|
||||
}
|
||||
|
||||
|
||||
class TestWordToSkillConverterInit(unittest.TestCase):
|
||||
"""Test WordToSkillConverter initialization and basic functionality."""
|
||||
|
||||
def setUp(self):
|
||||
if not WORD_AVAILABLE:
|
||||
self.skipTest("mammoth and python-docx not installed")
|
||||
from skill_seekers.cli.word_scraper import WordToSkillConverter
|
||||
self.WordToSkillConverter = WordToSkillConverter
|
||||
self.temp_dir = tempfile.mkdtemp()
|
||||
|
||||
def tearDown(self):
|
||||
if hasattr(self, "temp_dir"):
|
||||
shutil.rmtree(self.temp_dir, ignore_errors=True)
|
||||
|
||||
def test_init_with_name_and_docx_path(self):
|
||||
"""Test initialization with name and docx path."""
|
||||
config = {"name": "test_skill", "docx_path": "test.docx"}
|
||||
converter = self.WordToSkillConverter(config)
|
||||
self.assertEqual(converter.name, "test_skill")
|
||||
self.assertEqual(converter.docx_path, "test.docx")
|
||||
|
||||
def test_init_with_full_config(self):
|
||||
"""Test initialization with full config."""
|
||||
config = {
|
||||
"name": "my_skill",
|
||||
"docx_path": "docs/api.docx",
|
||||
"description": "API documentation skill",
|
||||
}
|
||||
converter = self.WordToSkillConverter(config)
|
||||
self.assertEqual(converter.name, "my_skill")
|
||||
self.assertEqual(converter.description, "API documentation skill")
|
||||
|
||||
def test_init_requires_name(self):
|
||||
"""Test that missing 'name' field raises an error."""
|
||||
with self.assertRaises((KeyError, TypeError)):
|
||||
self.WordToSkillConverter({})
|
||||
|
||||
def test_default_description_uses_name(self):
|
||||
"""Test that default description is generated from name."""
|
||||
config = {"name": "my_api", "docx_path": "api.docx"}
|
||||
converter = self.WordToSkillConverter(config)
|
||||
self.assertIn("my_api", converter.description)
|
||||
|
||||
def test_skill_dir_uses_name(self):
|
||||
"""Test that skill_dir is derived from name."""
|
||||
config = {"name": "my_skill", "docx_path": "test.docx"}
|
||||
converter = self.WordToSkillConverter(config)
|
||||
self.assertIn("my_skill", converter.skill_dir)
|
||||
|
||||
def test_name_auto_detected_from_filename(self):
|
||||
"""Test name can be extracted from filename via infer_description_from_word."""
|
||||
from skill_seekers.cli.word_scraper import infer_description_from_word
|
||||
desc = infer_description_from_word({}, name="my_doc")
|
||||
self.assertIn("my_doc", desc)
|
||||
|
||||
|
||||
class TestWordCategorization(unittest.TestCase):
|
||||
"""Test content categorization functionality."""
|
||||
|
||||
def setUp(self):
|
||||
if not WORD_AVAILABLE:
|
||||
self.skipTest("mammoth and python-docx not installed")
|
||||
from skill_seekers.cli.word_scraper import WordToSkillConverter
|
||||
self.WordToSkillConverter = WordToSkillConverter
|
||||
self.temp_dir = tempfile.mkdtemp()
|
||||
|
||||
def tearDown(self):
|
||||
shutil.rmtree(self.temp_dir, ignore_errors=True)
|
||||
|
||||
def test_single_docx_creates_single_category(self):
|
||||
"""With docx_path set, categorize_content creates a single category."""
|
||||
config = {"name": "test", "docx_path": "test.docx"}
|
||||
converter = self.WordToSkillConverter(config)
|
||||
converter.extracted_data = _make_sample_extracted_data(num_sections=3)
|
||||
|
||||
categories = converter.categorize_content()
|
||||
|
||||
self.assertEqual(len(categories), 1)
|
||||
# Category key is sanitized docx basename
|
||||
self.assertIn("test", categories)
|
||||
self.assertEqual(len(categories["test"]["pages"]), 3)
|
||||
|
||||
def test_keyword_based_categorization(self):
|
||||
"""Test keyword-based categorization without docx_path."""
|
||||
config = {
|
||||
"name": "test",
|
||||
"docx_path": "",
|
||||
"categories": {
|
||||
"api": ["api", "reference"],
|
||||
"guide": ["getting started", "tutorial"],
|
||||
},
|
||||
}
|
||||
converter = self.WordToSkillConverter(config)
|
||||
converter.docx_path = ""
|
||||
converter.extracted_data = {
|
||||
"pages": [
|
||||
{"section_number": 1, "heading": "API Reference", "text": "api reference docs",
|
||||
"code_samples": [], "tables": [], "images": []},
|
||||
{"section_number": 2, "heading": "Getting Started", "text": "getting started guide",
|
||||
"code_samples": [], "tables": [], "images": []},
|
||||
]
|
||||
}
|
||||
|
||||
categories = converter.categorize_content()
|
||||
self.assertIsInstance(categories, dict)
|
||||
self.assertGreater(len(categories), 0)
|
||||
|
||||
def test_fallback_to_content_category(self):
|
||||
"""Without docx_path and no categories config, uses 'content' category."""
|
||||
config = {"name": "test", "docx_path": ""}
|
||||
converter = self.WordToSkillConverter(config)
|
||||
converter.docx_path = ""
|
||||
converter.extracted_data = _make_sample_extracted_data(num_sections=1)
|
||||
|
||||
categories = converter.categorize_content()
|
||||
self.assertIsInstance(categories, dict)
|
||||
self.assertGreater(len(categories), 0)
|
||||
|
||||
|
||||
class TestWordSkillBuilding(unittest.TestCase):
|
||||
"""Test skill structure generation."""
|
||||
|
||||
def setUp(self):
|
||||
if not WORD_AVAILABLE:
|
||||
self.skipTest("mammoth and python-docx not installed")
|
||||
from skill_seekers.cli.word_scraper import WordToSkillConverter
|
||||
self.WordToSkillConverter = WordToSkillConverter
|
||||
self.temp_dir = tempfile.mkdtemp()
|
||||
|
||||
def tearDown(self):
|
||||
shutil.rmtree(self.temp_dir, ignore_errors=True)
|
||||
|
||||
def test_build_skill_creates_directory_structure(self):
|
||||
"""build_skill creates required directory structure."""
|
||||
config = {"name": "test_skill", "docx_path": "test.docx"}
|
||||
converter = self.WordToSkillConverter(config)
|
||||
converter.skill_dir = str(Path(self.temp_dir) / "test_skill")
|
||||
converter.extracted_data = _make_sample_extracted_data()
|
||||
|
||||
converter.build_skill()
|
||||
|
||||
skill_dir = Path(self.temp_dir) / "test_skill"
|
||||
self.assertTrue(skill_dir.exists())
|
||||
self.assertTrue((skill_dir / "references").exists())
|
||||
self.assertTrue((skill_dir / "scripts").exists())
|
||||
self.assertTrue((skill_dir / "assets").exists())
|
||||
|
||||
def test_build_skill_creates_skill_md(self):
|
||||
"""build_skill creates SKILL.md with correct content."""
|
||||
config = {
|
||||
"name": "test_skill",
|
||||
"docx_path": "test.docx",
|
||||
"description": "Test description for docs",
|
||||
}
|
||||
converter = self.WordToSkillConverter(config)
|
||||
converter.skill_dir = str(Path(self.temp_dir) / "test_skill")
|
||||
converter.extracted_data = _make_sample_extracted_data()
|
||||
|
||||
converter.build_skill()
|
||||
|
||||
skill_md = Path(self.temp_dir) / "test_skill" / "SKILL.md"
|
||||
self.assertTrue(skill_md.exists())
|
||||
|
||||
content = skill_md.read_text()
|
||||
self.assertIn("test_skill", content)
|
||||
self.assertIn("Test description for docs", content)
|
||||
|
||||
def test_build_skill_creates_reference_files(self):
|
||||
"""build_skill creates reference markdown files."""
|
||||
config = {"name": "test_skill", "docx_path": "test.docx"}
|
||||
converter = self.WordToSkillConverter(config)
|
||||
converter.skill_dir = str(Path(self.temp_dir) / "test_skill")
|
||||
converter.extracted_data = _make_sample_extracted_data(num_sections=2)
|
||||
|
||||
converter.build_skill()
|
||||
|
||||
refs_dir = Path(self.temp_dir) / "test_skill" / "references"
|
||||
# Single-source: named after docx basename
|
||||
self.assertTrue((refs_dir / "test.md").exists())
|
||||
self.assertTrue((refs_dir / "index.md").exists())
|
||||
|
||||
def test_skill_md_has_yaml_frontmatter(self):
|
||||
"""SKILL.md starts with valid YAML frontmatter."""
|
||||
config = {"name": "myskill", "docx_path": "doc.docx"}
|
||||
converter = self.WordToSkillConverter(config)
|
||||
converter.skill_dir = str(Path(self.temp_dir) / "myskill")
|
||||
converter.extracted_data = _make_sample_extracted_data()
|
||||
|
||||
converter.build_skill()
|
||||
|
||||
skill_md = Path(self.temp_dir) / "myskill" / "SKILL.md"
|
||||
content = skill_md.read_text()
|
||||
self.assertTrue(content.startswith("---\n"))
|
||||
self.assertIn("name:", content)
|
||||
self.assertIn("description:", content)
|
||||
|
||||
def test_skill_md_includes_section_overview(self):
|
||||
"""SKILL.md includes a Section Overview."""
|
||||
config = {"name": "test_skill", "docx_path": "test.docx"}
|
||||
converter = self.WordToSkillConverter(config)
|
||||
converter.skill_dir = str(Path(self.temp_dir) / "test_skill")
|
||||
converter.extracted_data = _make_sample_extracted_data(num_sections=3)
|
||||
|
||||
converter.build_skill()
|
||||
|
||||
skill_md = Path(self.temp_dir) / "test_skill" / "SKILL.md"
|
||||
content = skill_md.read_text()
|
||||
self.assertIn("Section Overview", content)
|
||||
self.assertIn("Total Sections", content)
|
||||
|
||||
|
||||
class TestWordCodeBlocks(unittest.TestCase):
|
||||
"""Test code block extraction and inclusion."""
|
||||
|
||||
def setUp(self):
|
||||
if not WORD_AVAILABLE:
|
||||
self.skipTest("mammoth and python-docx not installed")
|
||||
from skill_seekers.cli.word_scraper import WordToSkillConverter
|
||||
self.WordToSkillConverter = WordToSkillConverter
|
||||
self.temp_dir = tempfile.mkdtemp()
|
||||
|
||||
def tearDown(self):
|
||||
shutil.rmtree(self.temp_dir, ignore_errors=True)
|
||||
|
||||
def test_code_blocks_included_in_references(self):
|
||||
"""Code blocks are included in reference files."""
|
||||
config = {"name": "test_skill", "docx_path": "test.docx"}
|
||||
converter = self.WordToSkillConverter(config)
|
||||
converter.skill_dir = str(Path(self.temp_dir) / "test_skill")
|
||||
converter.extracted_data = _make_sample_extracted_data(include_code=True)
|
||||
|
||||
converter.build_skill()
|
||||
|
||||
ref_file = Path(self.temp_dir) / "test_skill" / "references" / "test.md"
|
||||
content = ref_file.read_text()
|
||||
self.assertIn("```python", content)
|
||||
self.assertIn("def hello_", content)
|
||||
|
||||
def test_code_examples_in_skill_md(self):
|
||||
"""SKILL.md includes code examples section when code is present."""
|
||||
config = {"name": "test_skill", "docx_path": "test.docx"}
|
||||
converter = self.WordToSkillConverter(config)
|
||||
converter.skill_dir = str(Path(self.temp_dir) / "test_skill")
|
||||
converter.extracted_data = _make_sample_extracted_data(include_code=True)
|
||||
|
||||
converter.build_skill()
|
||||
|
||||
skill_md = Path(self.temp_dir) / "test_skill" / "SKILL.md"
|
||||
content = skill_md.read_text()
|
||||
self.assertIn("Code Examples", content)
|
||||
|
||||
def test_language_detected_in_statistics(self):
|
||||
"""Language statistics are included in SKILL.md."""
|
||||
config = {"name": "test_skill", "docx_path": "test.docx"}
|
||||
converter = self.WordToSkillConverter(config)
|
||||
converter.skill_dir = str(Path(self.temp_dir) / "test_skill")
|
||||
converter.extracted_data = _make_sample_extracted_data(include_code=True)
|
||||
|
||||
converter.build_skill()
|
||||
|
||||
skill_md = Path(self.temp_dir) / "test_skill" / "SKILL.md"
|
||||
content = skill_md.read_text()
|
||||
self.assertIn("python", content)
|
||||
|
||||
|
||||
class TestWordTables(unittest.TestCase):
|
||||
"""Test table extraction and rendering."""
|
||||
|
||||
def setUp(self):
|
||||
if not WORD_AVAILABLE:
|
||||
self.skipTest("mammoth and python-docx not installed")
|
||||
from skill_seekers.cli.word_scraper import WordToSkillConverter
|
||||
self.WordToSkillConverter = WordToSkillConverter
|
||||
self.temp_dir = tempfile.mkdtemp()
|
||||
|
||||
def tearDown(self):
|
||||
shutil.rmtree(self.temp_dir, ignore_errors=True)
|
||||
|
||||
def test_tables_rendered_in_references(self):
|
||||
"""Tables are rendered as markdown tables in reference files."""
|
||||
config = {"name": "test_skill", "docx_path": "test.docx"}
|
||||
converter = self.WordToSkillConverter(config)
|
||||
converter.skill_dir = str(Path(self.temp_dir) / "test_skill")
|
||||
converter.extracted_data = _make_sample_extracted_data(include_tables=True)
|
||||
|
||||
converter.build_skill()
|
||||
|
||||
ref_file = Path(self.temp_dir) / "test_skill" / "references" / "test.md"
|
||||
content = ref_file.read_text()
|
||||
# Markdown table syntax
|
||||
self.assertIn("| Col A |", content)
|
||||
self.assertIn("| --- |", content)
|
||||
|
||||
def test_table_summary_in_skill_md(self):
|
||||
"""Table summary section appears in SKILL.md when tables exist."""
|
||||
config = {"name": "test_skill", "docx_path": "test.docx"}
|
||||
converter = self.WordToSkillConverter(config)
|
||||
converter.skill_dir = str(Path(self.temp_dir) / "test_skill")
|
||||
converter.extracted_data = _make_sample_extracted_data(include_tables=True)
|
||||
|
||||
converter.build_skill()
|
||||
|
||||
skill_md = Path(self.temp_dir) / "test_skill" / "SKILL.md"
|
||||
content = skill_md.read_text()
|
||||
self.assertIn("Table Summary", content)
|
||||
|
||||
|
||||
class TestWordImages(unittest.TestCase):
|
||||
"""Test image extraction and handling."""
|
||||
|
||||
def setUp(self):
|
||||
if not WORD_AVAILABLE:
|
||||
self.skipTest("mammoth and python-docx not installed")
|
||||
from skill_seekers.cli.word_scraper import WordToSkillConverter
|
||||
self.WordToSkillConverter = WordToSkillConverter
|
||||
self.temp_dir = tempfile.mkdtemp()
|
||||
|
||||
def tearDown(self):
|
||||
shutil.rmtree(self.temp_dir, ignore_errors=True)
|
||||
|
||||
def test_images_saved_to_assets(self):
|
||||
"""Images are saved to the assets/ directory."""
|
||||
config = {"name": "test_skill", "docx_path": "test.docx"}
|
||||
converter = self.WordToSkillConverter(config)
|
||||
converter.skill_dir = str(Path(self.temp_dir) / "test_skill")
|
||||
converter.extracted_data = _make_sample_extracted_data(include_images=True)
|
||||
|
||||
converter.build_skill()
|
||||
|
||||
assets_dir = Path(self.temp_dir) / "test_skill" / "assets"
|
||||
png_files = list(assets_dir.glob("*.png"))
|
||||
self.assertGreater(len(png_files), 0)
|
||||
|
||||
def test_image_references_in_markdown(self):
|
||||
"""Images are referenced with markdown syntax in reference files."""
|
||||
config = {"name": "test_skill", "docx_path": "test.docx"}
|
||||
converter = self.WordToSkillConverter(config)
|
||||
converter.skill_dir = str(Path(self.temp_dir) / "test_skill")
|
||||
converter.extracted_data = _make_sample_extracted_data(include_images=True)
|
||||
|
||||
converter.build_skill()
|
||||
|
||||
ref_file = Path(self.temp_dir) / "test_skill" / "references" / "test.md"
|
||||
content = ref_file.read_text()
|
||||
self.assertIn("![", content)
|
||||
self.assertIn("../assets/", content)
|
||||
|
||||
|
||||
class TestWordErrorHandling(unittest.TestCase):
|
||||
"""Test error handling for invalid inputs."""
|
||||
|
||||
def setUp(self):
|
||||
if not WORD_AVAILABLE:
|
||||
self.skipTest("mammoth and python-docx not installed")
|
||||
from skill_seekers.cli.word_scraper import WordToSkillConverter
|
||||
self.WordToSkillConverter = WordToSkillConverter
|
||||
self.temp_dir = tempfile.mkdtemp()
|
||||
|
||||
def tearDown(self):
|
||||
shutil.rmtree(self.temp_dir, ignore_errors=True)
|
||||
|
||||
def test_missing_docx_file_raises_error(self):
|
||||
"""extract_docx raises FileNotFoundError for missing file."""
|
||||
config = {"name": "test", "docx_path": "/nonexistent/path/test.docx"}
|
||||
converter = self.WordToSkillConverter(config)
|
||||
with self.assertRaises((FileNotFoundError, RuntimeError)):
|
||||
converter.extract_docx()
|
||||
|
||||
def test_invalid_config_raises_error(self):
|
||||
"""Non-dict config raises TypeError or AttributeError."""
|
||||
with self.assertRaises((TypeError, AttributeError)):
|
||||
self.WordToSkillConverter("invalid string")
|
||||
|
||||
def test_missing_name_raises_key_error(self):
|
||||
"""Config without 'name' raises KeyError."""
|
||||
with self.assertRaises((KeyError, TypeError)):
|
||||
self.WordToSkillConverter({"docx_path": "test.docx"})
|
||||
|
||||
|
||||
class TestWordJSONWorkflow(unittest.TestCase):
|
||||
"""Test building skills from extracted JSON."""
|
||||
|
||||
def setUp(self):
|
||||
if not WORD_AVAILABLE:
|
||||
self.skipTest("mammoth and python-docx not installed")
|
||||
from skill_seekers.cli.word_scraper import WordToSkillConverter
|
||||
self.WordToSkillConverter = WordToSkillConverter
|
||||
self.temp_dir = tempfile.mkdtemp()
|
||||
|
||||
def tearDown(self):
|
||||
shutil.rmtree(self.temp_dir, ignore_errors=True)
|
||||
|
||||
def test_load_from_json(self):
|
||||
"""load_extracted_data loads the JSON correctly."""
|
||||
extracted_data = _make_sample_extracted_data(num_sections=3)
|
||||
json_path = Path(self.temp_dir) / "extracted.json"
|
||||
json_path.write_text(json.dumps(extracted_data, indent=2))
|
||||
|
||||
config = {"name": "test_skill", "docx_path": "test.docx"}
|
||||
converter = self.WordToSkillConverter(config)
|
||||
converter.load_extracted_data(str(json_path))
|
||||
|
||||
self.assertEqual(converter.extracted_data["total_sections"], 3)
|
||||
self.assertEqual(len(converter.extracted_data["pages"]), 3)
|
||||
|
||||
def test_build_from_json_without_extraction(self):
|
||||
"""JSON workflow skips extract_docx() and goes directly to build."""
|
||||
extracted_data = _make_sample_extracted_data(num_sections=2)
|
||||
json_path = Path(self.temp_dir) / "extracted.json"
|
||||
json_path.write_text(json.dumps(extracted_data))
|
||||
|
||||
config = {"name": "test_skill", "docx_path": "test.docx"}
|
||||
converter = self.WordToSkillConverter(config)
|
||||
converter.load_extracted_data(str(json_path))
|
||||
|
||||
self.assertIsNotNone(converter.extracted_data)
|
||||
self.assertEqual(len(converter.extracted_data["pages"]), 2)
|
||||
|
||||
def test_skill_built_from_json_has_skill_md(self):
|
||||
"""build_skill() works after load_extracted_data()."""
|
||||
extracted_data = _make_sample_extracted_data(num_sections=2)
|
||||
json_path = Path(self.temp_dir) / "extracted.json"
|
||||
json_path.write_text(json.dumps(extracted_data))
|
||||
|
||||
config = {"name": "test_skill", "docx_path": "test.docx"}
|
||||
converter = self.WordToSkillConverter(config)
|
||||
converter.skill_dir = str(Path(self.temp_dir) / "test_skill")
|
||||
converter.load_extracted_data(str(json_path))
|
||||
converter.build_skill()
|
||||
|
||||
skill_md = Path(self.temp_dir) / "test_skill" / "SKILL.md"
|
||||
self.assertTrue(skill_md.exists())
|
||||
|
||||
|
||||
class TestWordCLIArguments(unittest.TestCase):
|
||||
"""Test word subcommand CLI argument parsing via the main CLI."""
|
||||
|
||||
def setUp(self):
|
||||
import sys
|
||||
from pathlib import Path as P
|
||||
|
||||
sys.path.insert(0, str(P(__file__).parent.parent / "src"))
|
||||
from skill_seekers.cli.main import create_parser
|
||||
|
||||
self.parser = create_parser()
|
||||
|
||||
def test_docx_argument_accepted(self):
|
||||
"""--docx flag is accepted for the word subcommand."""
|
||||
args = self.parser.parse_args(["word", "--docx", "test.docx"])
|
||||
self.assertEqual(args.docx, "test.docx")
|
||||
|
||||
def test_api_key_accepted(self):
|
||||
"""--api-key is accepted for word subcommand."""
|
||||
args = self.parser.parse_args(["word", "--docx", "test.docx", "--api-key", "sk-ant-test"])
|
||||
self.assertEqual(args.api_key, "sk-ant-test")
|
||||
|
||||
def test_enhance_level_accepted(self):
|
||||
"""--enhance-level is accepted for word subcommand."""
|
||||
args = self.parser.parse_args(["word", "--docx", "test.docx", "--enhance-level", "1"])
|
||||
self.assertEqual(args.enhance_level, 1)
|
||||
|
||||
def test_enhance_workflow_accepted(self):
|
||||
"""--enhance-workflow is accepted and stores a list."""
|
||||
args = self.parser.parse_args(
|
||||
["word", "--docx", "test.docx", "--enhance-workflow", "minimal"]
|
||||
)
|
||||
self.assertEqual(args.enhance_workflow, ["minimal"])
|
||||
|
||||
def test_workflow_dry_run_accepted(self):
|
||||
"""--workflow-dry-run is accepted."""
|
||||
args = self.parser.parse_args(["word", "--docx", "test.docx", "--workflow-dry-run"])
|
||||
self.assertTrue(args.workflow_dry_run)
|
||||
|
||||
def test_dry_run_accepted(self):
|
||||
"""--dry-run is accepted for word subcommand."""
|
||||
args = self.parser.parse_args(["word", "--docx", "test.docx", "--dry-run"])
|
||||
self.assertTrue(args.dry_run)
|
||||
|
||||
def test_from_json_accepted(self):
|
||||
"""--from-json is accepted."""
|
||||
args = self.parser.parse_args(["word", "--from-json", "data.json"])
|
||||
self.assertEqual(args.from_json, "data.json")
|
||||
|
||||
def test_name_accepted(self):
|
||||
"""--name is accepted."""
|
||||
args = self.parser.parse_args(["word", "--docx", "test.docx", "--name", "myskill"])
|
||||
self.assertEqual(args.name, "myskill")
|
||||
|
||||
|
||||
class TestWordHelperFunctions(unittest.TestCase):
|
||||
"""Test module-level helper functions."""
|
||||
|
||||
def setUp(self):
|
||||
if not WORD_AVAILABLE:
|
||||
self.skipTest("mammoth and python-docx not installed")
|
||||
|
||||
def test_build_section_basic(self):
|
||||
"""_build_section returns a well-formed dict."""
|
||||
from skill_seekers.cli.word_scraper import _build_section
|
||||
from bs4 import BeautifulSoup
|
||||
|
||||
html = "<p>Hello world.</p><p>Second paragraph.</p>"
|
||||
soup = BeautifulSoup(html, "html.parser")
|
||||
elements = list(soup.children)
|
||||
|
||||
section = _build_section(1, "Intro", "h1", elements, None)
|
||||
|
||||
self.assertEqual(section["section_number"], 1)
|
||||
self.assertEqual(section["heading"], "Intro")
|
||||
self.assertEqual(section["heading_level"], "h1")
|
||||
self.assertIn("Hello world", section["text"])
|
||||
|
||||
def test_extract_table_from_html(self):
|
||||
"""_extract_table_from_html extracts headers and rows."""
|
||||
from skill_seekers.cli.word_scraper import _extract_table_from_html
|
||||
from bs4 import BeautifulSoup
|
||||
|
||||
html = """
|
||||
<table>
|
||||
<thead><tr><th>Name</th><th>Value</th></tr></thead>
|
||||
<tbody>
|
||||
<tr><td>foo</td><td>1</td></tr>
|
||||
<tr><td>bar</td><td>2</td></tr>
|
||||
</tbody>
|
||||
</table>"""
|
||||
soup = BeautifulSoup(html, "html.parser")
|
||||
table_elem = soup.find("table")
|
||||
|
||||
result = _extract_table_from_html(table_elem)
|
||||
|
||||
self.assertIsNotNone(result)
|
||||
self.assertEqual(result["headers"], ["Name", "Value"])
|
||||
self.assertEqual(len(result["rows"]), 2)
|
||||
self.assertIn(["foo", "1"], result["rows"])
|
||||
|
||||
def test_score_code_quality_basic(self):
|
||||
"""_score_code_quality returns a score in [0, 10]."""
|
||||
from skill_seekers.cli.word_scraper import _score_code_quality
|
||||
|
||||
score = _score_code_quality("def foo():\n return 'bar'\n")
|
||||
self.assertGreaterEqual(score, 0.0)
|
||||
self.assertLessEqual(score, 10.0)
|
||||
|
||||
def test_score_code_quality_empty(self):
|
||||
"""_score_code_quality returns 0.0 for empty code."""
|
||||
from skill_seekers.cli.word_scraper import _score_code_quality
|
||||
|
||||
self.assertEqual(_score_code_quality(""), 0.0)
|
||||
|
||||
def test_infer_description_from_word_subject(self):
|
||||
"""infer_description_from_word uses subject field when available."""
|
||||
from skill_seekers.cli.word_scraper import infer_description_from_word
|
||||
|
||||
metadata = {"title": "Some Doc", "subject": "Writing API documentation for REST services"}
|
||||
desc = infer_description_from_word(metadata, "api_docs")
|
||||
self.assertIn("writing api documentation", desc.lower())
|
||||
|
||||
def test_infer_description_from_word_fallback(self):
|
||||
"""infer_description_from_word falls back to name."""
|
||||
from skill_seekers.cli.word_scraper import infer_description_from_word
|
||||
|
||||
desc = infer_description_from_word({}, name="myskill")
|
||||
self.assertIn("myskill", desc)
|
||||
|
||||
|
||||
class TestWordSourceDetection(unittest.TestCase):
|
||||
"""Test .docx source detection in SourceDetector."""
|
||||
|
||||
def test_docx_detected_as_word_type(self):
|
||||
"""SourceDetector.detect() returns type='word' for .docx files."""
|
||||
from skill_seekers.cli.source_detector import SourceDetector
|
||||
|
||||
# Use a path that ends in .docx (doesn't need to exist for detection)
|
||||
source_info = SourceDetector.detect("/tmp/test_document.docx")
|
||||
self.assertEqual(source_info.type, "word")
|
||||
self.assertEqual(source_info.parsed["file_path"], "/tmp/test_document.docx")
|
||||
self.assertEqual(source_info.suggested_name, "test_document")
|
||||
|
||||
def test_docx_validation_missing_file(self):
|
||||
"""validate_source raises ValueError for missing .docx file."""
|
||||
from skill_seekers.cli.source_detector import SourceDetector
|
||||
|
||||
source_info = SourceDetector.detect("/tmp/nonexistent_12345.docx")
|
||||
with self.assertRaises(ValueError) as ctx:
|
||||
SourceDetector.validate_source(source_info)
|
||||
self.assertIn("does not exist", str(ctx.exception))
|
||||
|
||||
def test_pdf_still_detected(self):
|
||||
"""Existing PDF detection is unaffected by Word support."""
|
||||
from skill_seekers.cli.source_detector import SourceDetector
|
||||
|
||||
source_info = SourceDetector.detect("/tmp/test.pdf")
|
||||
self.assertEqual(source_info.type, "pdf")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
unittest.main()
|
||||
172
uv.lock
generated
172
uv.lock
generated
@@ -684,6 +684,15 @@ wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/98/78/01c019cdb5d6498122777c1a43056ebb3ebfeef2076d9d026bfe15583b2b/click-8.3.1-py3-none-any.whl", hash = "sha256:981153a64e25f12d547d3426c367a4857371575ee7ad18df2a6183ab0545b2a6", size = 108274, upload-time = "2025-11-15T20:45:41.139Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "cobble"
|
||||
version = "0.1.4"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/54/7a/a507c709be2c96e1bb6102eb7b7f4026c5e5e223ef7d745a17d239e9d844/cobble-0.1.4.tar.gz", hash = "sha256:de38be1539992c8a06e569630717c485a5f91be2192c461ea2b220607dfa78aa", size = 3805, upload-time = "2024-06-01T18:11:09.528Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/d5/e1/3714a2f371985215c219c2a70953d38e3eed81ef165aed061d21de0e998b/cobble-0.1.4-py3-none-any.whl", hash = "sha256:36c91b1655e599fd428e2b95fdd5f0da1ca2e9f1abb0bc871dec21a0e78a2b44", size = 3984, upload-time = "2024-06-01T18:11:07.911Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "colorama"
|
||||
version = "0.4.6"
|
||||
@@ -2391,6 +2400,142 @@ wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/05/50/c5ccd2a50daa0a10c7f3f7d4e6992392454198cd8a7d99fcb96cb60d0686/llama_parse-0.6.54-py3-none-any.whl", hash = "sha256:c66c8d51cf6f29a44eaa8595a595de5d2598afc86e5a33a4cebe5fe228036920", size = 4879, upload-time = "2025-08-01T20:09:22.651Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "lxml"
|
||||
version = "6.0.2"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/aa/88/262177de60548e5a2bfc46ad28232c9e9cbde697bd94132aeb80364675cb/lxml-6.0.2.tar.gz", hash = "sha256:cd79f3367bd74b317dda655dc8fcfa304d9eb6e4fb06b7168c5cf27f96e0cd62", size = 4073426, upload-time = "2025-09-22T04:04:59.287Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/db/8a/f8192a08237ef2fb1b19733f709db88a4c43bc8ab8357f01cb41a27e7f6a/lxml-6.0.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e77dd455b9a16bbd2a5036a63ddbd479c19572af81b624e79ef422f929eef388", size = 8590589, upload-time = "2025-09-22T04:00:10.51Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/12/64/27bcd07ae17ff5e5536e8d88f4c7d581b48963817a13de11f3ac3329bfa2/lxml-6.0.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5d444858b9f07cefff6455b983aea9a67f7462ba1f6cbe4a21e8bf6791bf2153", size = 4629671, upload-time = "2025-09-22T04:00:15.411Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/02/5a/a7d53b3291c324e0b6e48f3c797be63836cc52156ddf8f33cd72aac78866/lxml-6.0.2-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:f952dacaa552f3bb8834908dddd500ba7d508e6ea6eb8c52eb2d28f48ca06a31", size = 4999961, upload-time = "2025-09-22T04:00:17.619Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/f5/55/d465e9b89df1761674d8672bb3e4ae2c47033b01ec243964b6e334c6743f/lxml-6.0.2-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:71695772df6acea9f3c0e59e44ba8ac50c4f125217e84aab21074a1a55e7e5c9", size = 5157087, upload-time = "2025-09-22T04:00:19.868Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/62/38/3073cd7e3e8dfc3ba3c3a139e33bee3a82de2bfb0925714351ad3d255c13/lxml-6.0.2-cp310-cp310-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:17f68764f35fd78d7c4cc4ef209a184c38b65440378013d24b8aecd327c3e0c8", size = 5067620, upload-time = "2025-09-22T04:00:21.877Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/4a/d3/1e001588c5e2205637b08985597827d3827dbaaece16348c8822bfe61c29/lxml-6.0.2-cp310-cp310-manylinux_2_26_i686.manylinux_2_28_i686.whl", hash = "sha256:058027e261afed589eddcfe530fcc6f3402d7fd7e89bfd0532df82ebc1563dba", size = 5406664, upload-time = "2025-09-22T04:00:23.714Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/20/cf/cab09478699b003857ed6ebfe95e9fb9fa3d3c25f1353b905c9b73cfb624/lxml-6.0.2-cp310-cp310-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a8ffaeec5dfea5881d4c9d8913a32d10cfe3923495386106e4a24d45300ef79c", size = 5289397, upload-time = "2025-09-22T04:00:25.544Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/a3/84/02a2d0c38ac9a8b9f9e5e1bbd3f24b3f426044ad618b552e9549ee91bd63/lxml-6.0.2-cp310-cp310-manylinux_2_31_armv7l.whl", hash = "sha256:f2e3b1a6bb38de0bc713edd4d612969dd250ca8b724be8d460001a387507021c", size = 4772178, upload-time = "2025-09-22T04:00:27.602Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/56/87/e1ceadcc031ec4aa605fe95476892d0b0ba3b7f8c7dcdf88fdeff59a9c86/lxml-6.0.2-cp310-cp310-manylinux_2_38_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:d6690ec5ec1cce0385cb20896b16be35247ac8c2046e493d03232f1c2414d321", size = 5358148, upload-time = "2025-09-22T04:00:29.323Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/fe/13/5bb6cf42bb228353fd4ac5f162c6a84fd68a4d6f67c1031c8cf97e131fc6/lxml-6.0.2-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:f2a50c3c1d11cad0ebebbac357a97b26aa79d2bcaf46f256551152aa85d3a4d1", size = 5112035, upload-time = "2025-09-22T04:00:31.061Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/e4/e2/ea0498552102e59834e297c5c6dff8d8ded3db72ed5e8aad77871476f073/lxml-6.0.2-cp310-cp310-musllinux_1_2_armv7l.whl", hash = "sha256:3efe1b21c7801ffa29a1112fab3b0f643628c30472d507f39544fd48e9549e34", size = 4799111, upload-time = "2025-09-22T04:00:33.11Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/6a/9e/8de42b52a73abb8af86c66c969b3b4c2a96567b6ac74637c037d2e3baa60/lxml-6.0.2-cp310-cp310-musllinux_1_2_riscv64.whl", hash = "sha256:59c45e125140b2c4b33920d21d83681940ca29f0b83f8629ea1a2196dc8cfe6a", size = 5351662, upload-time = "2025-09-22T04:00:35.237Z" },
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||||
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||||
{ url = "https://files.pythonhosted.org/packages/50/a0/3ae1b1f8964c271b5eec91db2043cf8c6c0bce101ebb2a633b51b044db6c/lxml-6.0.2-cp310-cp310-win32.whl", hash = "sha256:1e786a464c191ca43b133906c6903a7e4d56bef376b75d97ccbb8ec5cf1f0a4b", size = 3611953, upload-time = "2025-09-22T04:00:39.224Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/d1/70/bd42491f0634aad41bdfc1e46f5cff98825fb6185688dc82baa35d509f1a/lxml-6.0.2-cp310-cp310-win_amd64.whl", hash = "sha256:dacf3c64ef3f7440e3167aa4b49aa9e0fb99e0aa4f9ff03795640bf94531bcb0", size = 4032695, upload-time = "2025-09-22T04:00:41.402Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/d2/d0/05c6a72299f54c2c561a6c6cbb2f512e047fca20ea97a05e57931f194ac4/lxml-6.0.2-cp310-cp310-win_arm64.whl", hash = "sha256:45f93e6f75123f88d7f0cfd90f2d05f441b808562bf0bc01070a00f53f5028b5", size = 3680051, upload-time = "2025-09-22T04:00:43.525Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/77/d5/becbe1e2569b474a23f0c672ead8a29ac50b2dc1d5b9de184831bda8d14c/lxml-6.0.2-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:13e35cbc684aadf05d8711a5d1b5857c92e5e580efa9a0d2be197199c8def607", size = 8634365, upload-time = "2025-09-22T04:00:45.672Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/28/66/1ced58f12e804644426b85d0bb8a4478ca77bc1761455da310505f1a3526/lxml-6.0.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:3b1675e096e17c6fe9c0e8c81434f5736c0739ff9ac6123c87c2d452f48fc938", size = 4650793, upload-time = "2025-09-22T04:00:47.783Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/11/84/549098ffea39dfd167e3f174b4ce983d0eed61f9d8d25b7bf2a57c3247fc/lxml-6.0.2-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:8ac6e5811ae2870953390452e3476694196f98d447573234592d30488147404d", size = 4944362, upload-time = "2025-09-22T04:00:49.845Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/ac/bd/f207f16abf9749d2037453d56b643a7471d8fde855a231a12d1e095c4f01/lxml-6.0.2-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:5aa0fc67ae19d7a64c3fe725dc9a1bb11f80e01f78289d05c6f62545affec438", size = 5083152, upload-time = "2025-09-22T04:00:51.709Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/15/ae/bd813e87d8941d52ad5b65071b1affb48da01c4ed3c9c99e40abb266fbff/lxml-6.0.2-cp311-cp311-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:de496365750cc472b4e7902a485d3f152ecf57bd3ba03ddd5578ed8ceb4c5964", size = 5023539, upload-time = "2025-09-22T04:00:53.593Z" },
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{ url = "https://files.pythonhosted.org/packages/f0/d0/3020fa12bcec4ab62f97aab026d57c2f0cfd480a558758d9ca233bb6a79d/lxml-6.0.2-pp311-pypy311_pp73-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:21c73b476d3cfe836be731225ec3421fa2f048d84f6df6a8e70433dff1376d5a", size = 4417314, upload-time = "2025-09-22T04:04:55.024Z" },
|
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{ url = "https://files.pythonhosted.org/packages/6c/77/d7f491cbc05303ac6801651aabeb262d43f319288c1ea96c66b1d2692ff3/lxml-6.0.2-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:27220da5be049e936c3aca06f174e8827ca6445a4353a1995584311487fc4e3e", size = 3518768, upload-time = "2025-09-22T04:04:57.097Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "mammoth"
|
||||
version = "1.11.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "cobble" },
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]
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sdist = { url = "https://files.pythonhosted.org/packages/ed/3c/a58418d2af00f2da60d4a51e18cd0311307b72d48d2fffec36a97b4a5e44/mammoth-1.11.0.tar.gz", hash = "sha256:a0f59e442f34d5b6447f4b0999306cbf3e67aaabfa8cb516f878fb1456744637", size = 53142, upload-time = "2025-09-19T10:35:20.373Z" }
|
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wheels = [
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{ url = "https://files.pythonhosted.org/packages/ca/54/2e39566a131b13f6d8d193f974cb6a34e81bb7cc2fa6f7e03de067b36588/mammoth-1.11.0-py2.py3-none-any.whl", hash = "sha256:c077ab0d450bd7c0c6ecd529a23bf7e0fa8190c929e28998308ff4eada3f063b", size = 54752, upload-time = "2025-09-19T10:35:18.699Z" },
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]
|
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|
||||
[[package]]
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||||
name = "markdown-it-py"
|
||||
version = "4.0.0"
|
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@@ -4406,6 +4551,19 @@ wheels = [
|
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{ url = "https://files.pythonhosted.org/packages/ec/57/56b9bcc3c9c6a792fcbaf139543cee77261f3651ca9da0c93f5c1221264b/python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427", size = 229892, upload-time = "2024-03-01T18:36:18.57Z" },
|
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]
|
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|
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[[package]]
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||||
name = "python-docx"
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version = "1.2.0"
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||||
source = { registry = "https://pypi.org/simple" }
|
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dependencies = [
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{ name = "lxml" },
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{ name = "typing-extensions" },
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]
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sdist = { url = "https://files.pythonhosted.org/packages/a9/f7/eddfe33871520adab45aaa1a71f0402a2252050c14c7e3009446c8f4701c/python_docx-1.2.0.tar.gz", hash = "sha256:7bc9d7b7d8a69c9c02ca09216118c86552704edc23bac179283f2e38f86220ce", size = 5723256, upload-time = "2025-06-16T20:46:27.921Z" }
|
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wheels = [
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{ url = "https://files.pythonhosted.org/packages/d0/00/1e03a4989fa5795da308cd774f05b704ace555a70f9bf9d3be057b680bcf/python_docx-1.2.0-py3-none-any.whl", hash = "sha256:3fd478f3250fbbbfd3b94fe1e985955737c145627498896a8a6bf81f4baf66c7", size = 252987, upload-time = "2025-06-16T20:46:22.506Z" },
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]
|
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|
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[[package]]
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name = "python-dotenv"
|
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version = "1.2.1"
|
||||
@@ -5204,7 +5362,7 @@ wheels = [
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|
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[[package]]
|
||||
name = "skill-seekers"
|
||||
version = "3.1.2"
|
||||
version = "3.1.3"
|
||||
source = { editable = "." }
|
||||
dependencies = [
|
||||
{ name = "anthropic" },
|
||||
@@ -5242,10 +5400,12 @@ all = [
|
||||
{ name = "google-generativeai" },
|
||||
{ name = "httpx" },
|
||||
{ name = "httpx-sse" },
|
||||
{ name = "mammoth" },
|
||||
{ name = "mcp" },
|
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{ name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" },
|
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{ name = "numpy", version = "2.4.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
|
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{ name = "openai" },
|
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{ name = "python-docx" },
|
||||
{ name = "sentence-transformers" },
|
||||
{ name = "sse-starlette" },
|
||||
{ name = "starlette" },
|
||||
@@ -5268,6 +5428,10 @@ azure = [
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chroma = [
|
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{ name = "chromadb" },
|
||||
]
|
||||
docx = [
|
||||
{ name = "mammoth" },
|
||||
{ name = "python-docx" },
|
||||
]
|
||||
embedding = [
|
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{ name = "fastapi" },
|
||||
{ name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" },
|
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@@ -5357,6 +5521,8 @@ requires-dist = [
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{ name = "jsonschema", specifier = ">=4.25.1" },
|
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{ name = "langchain", specifier = ">=1.2.10" },
|
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{ name = "llama-index", specifier = ">=0.14.15" },
|
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{ name = "mammoth", marker = "extra == 'all'", specifier = ">=1.6.0" },
|
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{ name = "mammoth", marker = "extra == 'docx'", specifier = ">=1.6.0" },
|
||||
{ name = "mcp", marker = "extra == 'all'", specifier = ">=1.25,<2" },
|
||||
{ name = "mcp", marker = "extra == 'mcp'", specifier = ">=1.25,<2" },
|
||||
{ name = "networkx", specifier = ">=3.0" },
|
||||
@@ -5373,6 +5539,8 @@ requires-dist = [
|
||||
{ name = "pygments", specifier = ">=2.19.2" },
|
||||
{ name = "pymupdf", specifier = ">=1.24.14" },
|
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{ name = "pytesseract", specifier = ">=0.3.13" },
|
||||
{ name = "python-docx", marker = "extra == 'all'", specifier = ">=1.1.0" },
|
||||
{ name = "python-docx", marker = "extra == 'docx'", specifier = ">=1.1.0" },
|
||||
{ name = "python-dotenv", specifier = ">=1.1.1" },
|
||||
{ name = "pyyaml", specifier = ">=6.0" },
|
||||
{ name = "requests", specifier = ">=2.32.5" },
|
||||
@@ -5395,7 +5563,7 @@ requires-dist = [
|
||||
{ name = "weaviate-client", marker = "extra == 'rag-upload'", specifier = ">=3.25.0" },
|
||||
{ name = "weaviate-client", marker = "extra == 'weaviate'", specifier = ">=3.25.0" },
|
||||
]
|
||||
provides-extras = ["mcp", "gemini", "openai", "all-llms", "s3", "gcs", "azure", "chroma", "weaviate", "sentence-transformers", "rag-upload", "all-cloud", "embedding", "all"]
|
||||
provides-extras = ["mcp", "gemini", "openai", "all-llms", "s3", "gcs", "azure", "docx", "chroma", "weaviate", "sentence-transformers", "rag-upload", "all-cloud", "embedding", "all"]
|
||||
|
||||
[package.metadata.requires-dev]
|
||||
dev = [
|
||||
|
||||
Reference in New Issue
Block a user