Add Jupyter Notebook, Local HTML, OpenAPI/Swagger, AsciiDoc, PowerPoint, RSS/Atom, Man Pages, Confluence, Notion, and Slack/Discord Chat as new skill source types. Each type is fully integrated across: - Standalone CLI commands (skill-seekers <type>) - Auto-detection via 'skill-seekers create' (file extension + content sniffing) - Unified multi-source configs (scraped_data, dispatch, config validation) - Unified skill builder (generic merge + source-attributed synthesis) - MCP server (scrape_generic tool with per-type flag mapping) - pyproject.toml (entry points, optional deps, [all] group) Also fixes: EPUB unified pipeline gap, missing word/video config validators, OpenAPI yaml import guard, MCP flag mismatch for all 10 types, stale docstrings, and adds 77 integration tests + complex-merge workflow. 50 files changed, +20,201 lines
110 lines
3.5 KiB
Python
110 lines
3.5 KiB
Python
"""Confluence command argument definitions.
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This module defines ALL arguments for the confluence command in ONE place.
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Both confluence_scraper.py (standalone) and parsers/confluence_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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# Confluence-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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CONFLUENCE_ARGUMENTS: dict[str, dict[str, Any]] = {
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"base_url": {
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"flags": ("--base-url",),
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"kwargs": {
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"type": str,
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"help": "Confluence instance base URL",
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"metavar": "URL",
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},
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},
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"space_key": {
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"flags": ("--space-key",),
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"kwargs": {
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"type": str,
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"help": "Confluence space key to extract from",
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"metavar": "KEY",
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},
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},
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"export_path": {
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"flags": ("--export-path",),
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"kwargs": {
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"type": str,
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"help": "Path to Confluence HTML/XML export directory",
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"metavar": "PATH",
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},
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},
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"username": {
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"flags": ("--username",),
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"kwargs": {
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"type": str,
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"help": "Confluence username for API authentication",
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"metavar": "USER",
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},
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},
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"token": {
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"flags": ("--token",),
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"kwargs": {
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"type": str,
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"help": "Confluence API token for authentication",
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"metavar": "TOKEN",
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},
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},
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"max_pages": {
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"flags": ("--max-pages",),
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"kwargs": {
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"type": int,
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"default": 500,
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"help": "Maximum number of pages to extract (default: 500)",
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"metavar": "N",
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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_confluence_arguments(parser: argparse.ArgumentParser) -> None:
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"""Add all confluence 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 Confluence-specific args on top.
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The default for --enhance-level is overridden to 0 (disabled) for Confluence.
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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 Confluence
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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 Confluence), 1=SKILL.md only, "
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"2=+architecture/config, 3=full enhancement. "
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"Mode selection: uses API if ANTHROPIC_API_KEY is set, "
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"otherwise LOCAL (Claude Code)"
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)
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# Confluence-specific args
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for arg_name, arg_def in CONFLUENCE_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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