firefrost-gaming/skill-seekers-reference
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style: Format all Python files with ruff

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- Formatted 103 files to comply with ruff format requirements
- No code logic changes, only formatting/whitespace
- Fixes CI formatting check failures
This commit is contained in:
yusyus
2026-02-08 14:42:27 +03:00
parent 6e4f623b9d
commit 0265de5816
103 changed files with 2241 additions and 2627 deletions
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72
src/skill_seekers/cli/parsers/package_parser.py
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@@ -1,4 +1,5 @@
"""Package subcommand parser."""
from .base import SubcommandParser
@@ -20,27 +21,72 @@ class PackageParser(SubcommandParser):
def add_arguments(self, parser):
"""Add package-specific arguments."""
parser.add_argument("skill_directory", help="Skill directory path (e.g., output/react/)")
parser.add_argument("--no-open", action="store_true", help="Don't open output folder after packaging")
parser.add_argument("--skip-quality-check", action="store_true", help="Skip quality checks before packaging")
parser.add_argument(
"--no-open", action="store_true", help="Don't open output folder after packaging"
)
parser.add_argument(
"--skip-quality-check", action="store_true", help="Skip quality checks before packaging"
)
parser.add_argument(
"--target",
choices=[
"claude", "gemini", "openai", "markdown",
"langchain", "llama-index", "haystack",
"weaviate", "chroma", "faiss", "qdrant"
"claude",
"gemini",
"openai",
"markdown",
"langchain",
"llama-index",
"haystack",
"weaviate",
"chroma",
"faiss",
"qdrant",
],
default="claude",
help="Target LLM platform (default: claude)",
)
parser.add_argument("--upload", action="store_true", help="Automatically upload after packaging (requires platform API key)")
parser.add_argument(
"--upload",
action="store_true",
help="Automatically upload after packaging (requires platform API key)",
)
# Streaming options
parser.add_argument("--streaming", action="store_true", help="Use streaming ingestion for large docs (memory-efficient)")
parser.add_argument("--chunk-size", type=int, default=4000, help="Maximum characters per chunk (streaming mode, default: 4000)")
parser.add_argument("--chunk-overlap", type=int, default=200, help="Overlap between chunks (streaming mode, default: 200)")
parser.add_argument("--batch-size", type=int, default=100, help="Number of chunks per batch (streaming mode, default: 100)")
parser.add_argument(
"--streaming",
action="store_true",
help="Use streaming ingestion for large docs (memory-efficient)",
)
parser.add_argument(
"--chunk-size",
type=int,
default=4000,
help="Maximum characters per chunk (streaming mode, default: 4000)",
)
parser.add_argument(
"--chunk-overlap",
type=int,
default=200,
help="Overlap between chunks (streaming mode, default: 200)",
)
parser.add_argument(
"--batch-size",
type=int,
default=100,
help="Number of chunks per batch (streaming mode, default: 100)",
)
# RAG chunking options
parser.add_argument("--chunk", action="store_true", help="Enable intelligent chunking for RAG platforms (auto-enabled for RAG adaptors)")
parser.add_argument("--chunk-tokens", type=int, default=512, help="Maximum tokens per chunk (default: 512)")
parser.add_argument("--no-preserve-code", action="store_true", help="Allow code block splitting (default: code blocks preserved)")
parser.add_argument(
"--chunk",
action="store_true",
help="Enable intelligent chunking for RAG platforms (auto-enabled for RAG adaptors)",
)
parser.add_argument(
"--chunk-tokens", type=int, default=512, help="Maximum tokens per chunk (default: 512)"
)
parser.add_argument(
"--no-preserve-code",
action="store_true",
help="Allow code block splitting (default: code blocks preserved)",
)