Files
vibe-coding-cn/assets/repos/Skill_Seekers-development/src/skill_seekers/cli/utils.py
T

225 lines
6.1 KiB
Python
Raw Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
#!/usr/bin/env python3
"""
Utility functions for Skill Seeker CLI tools
"""
import os
import sys
import subprocess
import platform
from pathlib import Path
from typing import Optional, Tuple, Dict, Union
def open_folder(folder_path: Union[str, Path]) -> bool:
"""
Open a folder in the system file browser
Args:
folder_path: Path to folder to open
Returns:
bool: True if successful, False otherwise
"""
folder_path = Path(folder_path).resolve()
if not folder_path.exists():
print(f"⚠️ Folder not found: {folder_path}")
return False
system = platform.system()
try:
if system == "Linux":
# Try xdg-open first (standard)
subprocess.run(["xdg-open", str(folder_path)], check=True)
elif system == "Darwin": # macOS
subprocess.run(["open", str(folder_path)], check=True)
elif system == "Windows":
subprocess.run(["explorer", str(folder_path)], check=True)
else:
print(f"⚠️ Unknown operating system: {system}")
return False
return True
except subprocess.CalledProcessError:
print(f"⚠️ Could not open folder automatically")
return False
except FileNotFoundError:
print(f"⚠️ File browser not found on system")
return False
def has_api_key() -> bool:
"""
Check if ANTHROPIC_API_KEY is set in environment
Returns:
bool: True if API key is set, False otherwise
"""
api_key = os.environ.get('ANTHROPIC_API_KEY', '').strip()
return len(api_key) > 0
def get_api_key() -> Optional[str]:
"""
Get ANTHROPIC_API_KEY from environment
Returns:
str: API key or None if not set
"""
api_key = os.environ.get('ANTHROPIC_API_KEY', '').strip()
return api_key if api_key else None
def get_upload_url() -> str:
"""
Get the Claude skills upload URL
Returns:
str: Claude skills upload URL
"""
return "https://claude.ai/skills"
def print_upload_instructions(zip_path: Union[str, Path]) -> None:
"""
Print clear upload instructions for manual upload
Args:
zip_path: Path to the .zip file to upload
"""
zip_path = Path(zip_path)
print()
print("╔══════════════════════════════════════════════════════════╗")
print("║ NEXT STEP ║")
print("╚══════════════════════════════════════════════════════════╝")
print()
print(f"📤 Upload to Claude: {get_upload_url()}")
print()
print(f"1. Go to {get_upload_url()}")
print("2. Click \"Upload Skill\"")
print(f"3. Select: {zip_path}")
print("4. Done! ✅")
print()
def format_file_size(size_bytes: int) -> str:
"""
Format file size in human-readable format
Args:
size_bytes: Size in bytes
Returns:
str: Formatted size (e.g., "45.3 KB")
"""
if size_bytes < 1024:
return f"{size_bytes} bytes"
elif size_bytes < 1024 * 1024:
return f"{size_bytes / 1024:.1f} KB"
else:
return f"{size_bytes / (1024 * 1024):.1f} MB"
def validate_skill_directory(skill_dir: Union[str, Path]) -> Tuple[bool, Optional[str]]:
"""
Validate that a directory is a valid skill directory
Args:
skill_dir: Path to skill directory
Returns:
tuple: (is_valid, error_message)
"""
skill_path = Path(skill_dir)
if not skill_path.exists():
return False, f"Directory not found: {skill_dir}"
if not skill_path.is_dir():
return False, f"Not a directory: {skill_dir}"
skill_md = skill_path / "SKILL.md"
if not skill_md.exists():
return False, f"SKILL.md not found in {skill_dir}"
return True, None
def validate_zip_file(zip_path: Union[str, Path]) -> Tuple[bool, Optional[str]]:
"""
Validate that a file is a valid skill .zip file
Args:
zip_path: Path to .zip file
Returns:
tuple: (is_valid, error_message)
"""
zip_path = Path(zip_path)
if not zip_path.exists():
return False, f"File not found: {zip_path}"
if not zip_path.is_file():
return False, f"Not a file: {zip_path}"
if not zip_path.suffix == '.zip':
return False, f"Not a .zip file: {zip_path}"
return True, None
def read_reference_files(skill_dir: Union[str, Path], max_chars: int = 100000, preview_limit: int = 40000) -> Dict[str, str]:
"""Read reference files from a skill directory with size limits.
This function reads markdown files from the references/ subdirectory
of a skill, applying both per-file and total content limits.
Args:
skill_dir (str or Path): Path to skill directory
max_chars (int): Maximum total characters to read (default: 100000)
preview_limit (int): Maximum characters per file (default: 40000)
Returns:
dict: Dictionary mapping filename to content
Example:
>>> refs = read_reference_files('output/react/', max_chars=50000)
>>> len(refs)
5
"""
from pathlib import Path
skill_path = Path(skill_dir)
references_dir = skill_path / "references"
references: Dict[str, str] = {}
if not references_dir.exists():
print(f"⚠ No references directory found at {references_dir}")
return references
total_chars = 0
for ref_file in sorted(references_dir.glob("*.md")):
if ref_file.name == "index.md":
continue
content = ref_file.read_text(encoding='utf-8')
# Limit size per file
if len(content) > preview_limit:
content = content[:preview_limit] + "\n\n[Content truncated...]"
references[ref_file.name] = content
total_chars += len(content)
# Stop if we've read enough
if total_chars > max_chars:
print(f" Limiting input to {max_chars:,} characters")
break
return references