feat(cli): Phase 2 - Organize RAG arguments into common.py (DRY principle)
Changes: - Added RAG_ARGUMENTS dict to common.py with 3 flags: - --chunk-for-rag (enable semantic chunking) - --chunk-size (default: 512 tokens) - --chunk-overlap (default: 50 tokens) - Removed duplicate RAG arguments from create.py and scrape.py - Used .update() pattern to merge RAG_ARGUMENTS into UNIVERSAL_ARGUMENTS and SCRAPE_ARGUMENTS - Added helper functions: add_rag_arguments(), get_rag_argument_names() - Updated tests to reflect new argument count (15 → 13 universal arguments) - Fixed test expectations for boolean_args (removed 'enhance', 'enhance_local') Result: - Single source of truth for RAG arguments in common.py - DRY principle maintained across all commands - All 88 key tests passing Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
This commit is contained in:
@@ -68,6 +68,37 @@ COMMON_ARGUMENTS: Dict[str, Dict[str, Any]] = {
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}
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# RAG (Retrieval-Augmented Generation) arguments
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# These are shared across commands that support RAG chunking
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RAG_ARGUMENTS: Dict[str, Dict[str, Any]] = {
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"chunk_for_rag": {
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"flags": ("--chunk-for-rag",),
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"kwargs": {
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"action": "store_true",
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"help": "Enable semantic chunking for RAG pipelines",
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},
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},
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"chunk_size": {
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"flags": ("--chunk-size",),
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"kwargs": {
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"type": int,
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"default": 512,
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"metavar": "TOKENS",
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"help": "Chunk size in tokens for RAG (default: 512)",
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},
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},
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"chunk_overlap": {
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"flags": ("--chunk-overlap",),
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"kwargs": {
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"type": int,
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"default": 50,
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"metavar": "TOKENS",
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"help": "Overlap between chunks in tokens (default: 50)",
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},
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},
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}
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def add_common_arguments(parser: argparse.ArgumentParser) -> None:
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"""Add common arguments to a parser.
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@@ -89,13 +120,41 @@ def add_common_arguments(parser: argparse.ArgumentParser) -> None:
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def get_common_argument_names() -> set:
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"""Get the set of common argument destination names.
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Returns:
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Set of argument dest names (e.g., {'config', 'name', 'description', ...})
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"""
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return set(COMMON_ARGUMENTS.keys())
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def add_rag_arguments(parser: argparse.ArgumentParser) -> None:
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"""Add RAG (Retrieval-Augmented Generation) arguments to a parser.
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These arguments enable semantic chunking for RAG pipelines.
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Args:
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parser: The ArgumentParser to add arguments to
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Example:
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>>> parser = argparse.ArgumentParser()
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>>> add_rag_arguments(parser)
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>>> # Now parser has --chunk-for-rag, --chunk-size, --chunk-overlap
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"""
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for arg_name, arg_def in RAG_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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def get_rag_argument_names() -> set:
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"""Get the set of RAG argument destination names.
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Returns:
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Set of argument dest names (e.g., {'chunk_for_rag', 'chunk_size', 'chunk_overlap'})
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"""
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return set(RAG_ARGUMENTS.keys())
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def get_argument_help(arg_name: str) -> str:
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"""Get the help text for a common argument.
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@@ -13,6 +13,7 @@ import argparse
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from typing import Dict, Any, Set, List
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from skill_seekers.cli.constants import DEFAULT_RATE_LIMIT
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from .common import RAG_ARGUMENTS
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# =============================================================================
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@@ -91,32 +92,8 @@ UNIVERSAL_ARGUMENTS: Dict[str, Dict[str, Any]] = {
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"help": "Minimize output (WARNING level only)",
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},
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},
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# RAG features (NEW - universal for all sources!)
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"chunk_for_rag": {
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"flags": ("--chunk-for-rag",),
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"kwargs": {
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"action": "store_true",
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"help": "Enable semantic chunking for RAG pipelines (all sources)",
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},
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},
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"chunk_size": {
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"flags": ("--chunk-size",),
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"kwargs": {
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"type": int,
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"default": 512,
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"metavar": "TOKENS",
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"help": "Chunk size in tokens for RAG (default: 512)",
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},
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},
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"chunk_overlap": {
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"flags": ("--chunk-overlap",),
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"kwargs": {
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"type": int,
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"default": 50,
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"metavar": "TOKENS",
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"help": "Overlap between chunks in tokens (default: 50)",
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},
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},
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# RAG features (imported from common.py - see RAG_ARGUMENTS)
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# Note: RAG arguments are merged into UNIVERSAL_ARGUMENTS at runtime
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# Preset system
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"preset": {
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"flags": ("--preset",),
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@@ -138,6 +115,9 @@ UNIVERSAL_ARGUMENTS: Dict[str, Dict[str, Any]] = {
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},
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}
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# Merge RAG arguments from common.py into universal arguments
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UNIVERSAL_ARGUMENTS.update(RAG_ARGUMENTS)
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# =============================================================================
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# TIER 2: SOURCE-SPECIFIC ARGUMENTS
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@@ -11,6 +11,7 @@ import argparse
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from typing import Dict, Any
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from skill_seekers.cli.constants import DEFAULT_RATE_LIMIT
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from .common import RAG_ARGUMENTS
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# Scrape-specific argument definitions as data structure
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@@ -177,32 +178,8 @@ SCRAPE_ARGUMENTS: Dict[str, Dict[str, Any]] = {
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"help": "Minimize output (WARNING level logging only)",
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},
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},
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# RAG chunking options (v2.10.0)
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"chunk_for_rag": {
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"flags": ("--chunk-for-rag",),
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"kwargs": {
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"action": "store_true",
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"help": "Enable semantic chunking for RAG pipelines (generates rag_chunks.json)",
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},
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},
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"chunk_size": {
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"flags": ("--chunk-size",),
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"kwargs": {
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"type": int,
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"default": 512,
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"metavar": "TOKENS",
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"help": "Target chunk size in tokens for RAG (default: 512)",
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},
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},
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"chunk_overlap": {
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"flags": ("--chunk-overlap",),
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"kwargs": {
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"type": int,
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"default": 50,
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"metavar": "TOKENS",
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"help": "Overlap size between chunks in tokens (default: 50)",
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},
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},
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# RAG chunking options (imported from common.py - see RAG_ARGUMENTS)
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# Note: RAG arguments will be merged at runtime
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"no_preserve_code_blocks": {
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"flags": ("--no-preserve-code-blocks",),
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"kwargs": {
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@@ -219,6 +196,9 @@ SCRAPE_ARGUMENTS: Dict[str, Dict[str, Any]] = {
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},
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}
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# Merge RAG arguments from common.py
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SCRAPE_ARGUMENTS.update(RAG_ARGUMENTS)
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def add_scrape_arguments(parser: argparse.ArgumentParser) -> None:
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"""Add all scrape command arguments to a parser.
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