YueGuobin b7a0b611df
fix: demote loader-level load logs to DEBUG, info already reported by manager
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-12 13:52:05 +08:00

280 lines
9.8 KiB
Python

# SPDX-License-Identifier: GPL-3.0-or-later
#
# GNS3-Copilot - AI-powered Network Lab Assistant for GNS3
#
# This file is part of GNS3-Copilot project.
#
# GNS3-Copilot is free software: you can redistribute it and/or modify it
# under the terms of the GNU General Public License as published by the
# Free Software Foundation, either version 3 of the License, or (at your
# option) any later version.
#
# GNS3-Copilot is distributed in the hope that it will be useful, but
# WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
# or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
# for more details.
#
# You should have received a copy of the GNU General Public License
# along with GNS3-Copilot. If not, see <https://www.gnu.org/licenses/>.
#
# Copyright (C) 2025 Yue Guobin
# Author: Yue Guobin
#
# Project Home: https://github.com/yueguobin/gns3-copilot
#
"""
Skills Loader
This module provides functionality to load skills from YAML files.
Supports loading injection skills and device/feature skills.
"""
import logging
import os
from pathlib import Path
from typing import Any, Dict
try:
import yaml
except ImportError:
yaml = None
logger = logging.getLogger(__name__)
class SkillsLoader:
"""
Load skills from YAML files in the skills directory.
This loader reads YAML files and converts them to the skill dictionary
format expected by the skills registry.
"""
def __init__(self, skills_dir: str):
"""
Initialize the skills loader.
Args:
skills_dir: Path to the skills directory containing YAML files
"""
self.skills_dir = Path(skills_dir)
if not self.skills_dir.exists():
logger.warning(f"Skills directory does not exist: {self.skills_dir}")
def load_injection_skills(self) -> Dict[str, Dict[str, Any]]:
"""
Load all injection skills from YAML files.
Returns:
Dictionary mapping skill keys to skill definitions
"""
if yaml is None:
logger.error("PyYAML is not installed. Cannot load skills from YAML.")
return {}
skills = {}
injection_dir = self.skills_dir / "injection"
if not injection_dir.exists():
logger.warning(f"Injection skills directory not found: {injection_dir}")
return {}
for yaml_file in injection_dir.glob("*.yaml"):
try:
skill_data = self._load_yaml(yaml_file)
if not skill_data:
logger.warning(f"Skipping empty YAML file: {yaml_file}")
continue
# Generate key from filename (e.g., "ospf_issues.yaml" -> "injection_ospf")
skill_key = f"injection_{yaml_file.stem}"
skills[skill_key] = skill_data
logger.debug(f"Loaded injection skill: {skill_key} from {yaml_file}")
except Exception as e:
logger.error(f"Failed to load skill from {yaml_file}: {e}")
logger.debug(f"Loaded {len(skills)} injection skills from {injection_dir}")
return skills
def load_device_skills(self) -> Dict[str, Dict[str, Any]]:
"""
Load all device/feature skills from YAML files.
Returns:
Dictionary mapping skill keys to skill definitions
"""
if yaml is None:
logger.error("PyYAML is not installed. Cannot load skills from YAML.")
return {}
skills = {}
device_dir = self.skills_dir / "device"
if not device_dir.exists():
logger.warning(f"Device skills directory not found: {device_dir}")
return {}
for yaml_file in device_dir.glob("*.yaml"):
try:
skill_data = self._load_yaml(yaml_file)
if not skill_data:
logger.warning(f"Skipping empty YAML file: {yaml_file}")
continue
# Use device_type from YAML content as the key
# Fallback to filename stem if device_type not present
skill_key = skill_data.get("device_type") if isinstance(skill_data, dict) else None
if not skill_key:
skill_key = yaml_file.stem
logger.warning(f"No device_type in {yaml_file}, using filename '{skill_key}' as key")
skills[skill_key] = skill_data
logger.debug(f"Loaded device skill: {skill_key} from {yaml_file}")
except Exception as e:
logger.error(f"Failed to load skill from {yaml_file}: {e}")
logger.debug(f"Loaded {len(skills)} device skills from {device_dir}")
return skills
def load_prompt(self, prompt_name: str) -> str:
"""
Load a prompt from a markdown file.
Args:
prompt_name: Name of the prompt file (without .md extension)
Returns:
Prompt content as string, or empty string if not found
"""
prompts_dir = self.skills_dir / "prompts"
prompt_file = prompts_dir / f"{prompt_name}.md"
if not prompt_file.exists():
logger.warning(f"Prompt file not found: {prompt_file}")
return ""
try:
with open(prompt_file, "r", encoding="utf-8") as f:
content = f.read()
logger.debug(f"Loaded prompt: {prompt_name} from {prompt_file}")
return content
except Exception as e:
logger.error(f"Failed to load prompt from {prompt_file}: {e}")
return ""
def load_forbidden_commands(self) -> list:
"""
Load forbidden commands from the config directory.
Returns:
List of forbidden command patterns, or empty list if not found
"""
config_dir = self.skills_dir / "config"
config_file = config_dir / "forbidden_commands.txt"
if not config_file.exists():
logger.warning(f"Forbidden commands file not found: {config_file}")
return []
try:
commands = []
with open(config_file, "r", encoding="utf-8") as f:
for line in f:
line = line.strip()
if not line or line.startswith("#"):
continue
commands.append(line.lower())
logger.debug(f"Loaded {len(commands)} forbidden commands from {config_file}")
return commands
except Exception as e:
logger.error(f"Failed to load forbidden commands from {config_file}: {e}")
return []
def load_packet_analysis_protocols(self) -> Dict[str, Dict[str, Any]]:
"""
Load packet analysis protocol definitions from YAML files.
Returns:
Dictionary mapping protocol keys to protocol definitions.
Each protocol contains tshark_field, display_filter, and filter_examples.
"""
if yaml is None:
logger.error("PyYAML is not installed. Cannot load packet analysis protocols.")
return {}
protocols = {}
packet_analysis_dir = self.skills_dir / "packet_analysis"
if not packet_analysis_dir.exists():
logger.debug(f"Packet analysis directory not found: {packet_analysis_dir}")
return {}
for yaml_file in packet_analysis_dir.glob("*.yaml"):
try:
protocol_data = self._load_yaml(yaml_file)
if not protocol_data:
logger.warning(f"Skipping empty YAML file: {yaml_file}")
continue
# Use protocol_key field from YAML as the key
protocol_key = protocol_data.get("protocol_key")
if not protocol_key:
logger.warning(f"No 'protocol_key' field in {yaml_file}, skipping")
continue
protocols[protocol_key] = protocol_data
logger.debug(f"Loaded packet analysis protocol: {protocol_key} from {yaml_file}")
except Exception as e:
logger.error(f"Failed to load protocol from {yaml_file}: {e}")
logger.debug(f"Loaded {len(protocols)} packet analysis protocols from {packet_analysis_dir}")
return protocols
def _load_yaml(self, file_path: Path) -> Dict[str, Any]:
"""
Load a YAML file and return its content.
Args:
file_path: Path to the YAML file
Returns:
Parsed YAML content as dictionary, or empty dict if file is empty
"""
with open(file_path, "r", encoding="utf-8") as f:
data = yaml.safe_load(f)
if not isinstance(data, dict):
logger.warning(f"YAML file {file_path} is empty or has invalid format")
return {}
return data
def validate_skill_format(self, skill_data: Dict[str, Any]) -> bool:
"""
Validate that a skill dictionary has the required fields.
Args:
skill_data: Skill dictionary to validate
Returns:
True if valid, False otherwise
"""
required_fields = ["name", "description", "issues"]
for field in required_fields:
if field not in skill_data:
logger.error(f"Skill missing required field: {field}")
return False
if not isinstance(skill_data["issues"], dict):
logger.error("Skill 'issues' field must be a dictionary")
return False
for issue_key, issue_data in skill_data["issues"].items():
if not isinstance(issue_data, dict):
logger.error(f"Issue '{issue_key}' must be a dictionary")
return False
issue_required = ["name", "description"]
for field in issue_required:
if field not in issue_data:
logger.error(f"Issue '{issue_key}' missing required field: {field}")
return False
return True