mirror of
https://github.com/GNS3/gns3-server.git
synced 2026-08-29 13:30:12 +03:00
280 lines
9.8 KiB
Python
280 lines
9.8 KiB
Python
# SPDX-License-Identifier: GPL-3.0-or-later
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#
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# GNS3-Copilot - AI-powered Network Lab Assistant for GNS3
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#
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# This file is part of GNS3-Copilot project.
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#
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# GNS3-Copilot is free software: you can redistribute it and/or modify it
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# under the terms of the GNU General Public License as published by the
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# Free Software Foundation, either version 3 of the License, or (at your
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# option) any later version.
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#
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# GNS3-Copilot is distributed in the hope that it will be useful, but
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# WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
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# or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
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# for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with GNS3-Copilot. If not, see <https://www.gnu.org/licenses/>.
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#
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# Copyright (C) 2025 Yue Guobin
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# Author: Yue Guobin
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#
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# Project Home: https://github.com/yueguobin/gns3-copilot
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#
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"""
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Skills Loader
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This module provides functionality to load skills from YAML files.
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Supports loading injection skills and device/feature skills.
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"""
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import logging
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import os
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from pathlib import Path
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from typing import Any, Dict
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try:
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import yaml
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except ImportError:
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yaml = None
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logger = logging.getLogger(__name__)
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class SkillsLoader:
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"""
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Load skills from YAML files in the skills directory.
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This loader reads YAML files and converts them to the skill dictionary
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format expected by the skills registry.
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"""
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def __init__(self, skills_dir: str):
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"""
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Initialize the skills loader.
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Args:
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skills_dir: Path to the skills directory containing YAML files
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"""
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self.skills_dir = Path(skills_dir)
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if not self.skills_dir.exists():
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logger.warning(f"Skills directory does not exist: {self.skills_dir}")
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def load_injection_skills(self) -> Dict[str, Dict[str, Any]]:
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"""
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Load all injection skills from YAML files.
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Returns:
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Dictionary mapping skill keys to skill definitions
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"""
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if yaml is None:
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logger.error("PyYAML is not installed. Cannot load skills from YAML.")
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return {}
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skills = {}
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injection_dir = self.skills_dir / "injection"
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if not injection_dir.exists():
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logger.warning(f"Injection skills directory not found: {injection_dir}")
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return {}
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for yaml_file in injection_dir.glob("*.yaml"):
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try:
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skill_data = self._load_yaml(yaml_file)
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if not skill_data:
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logger.warning(f"Skipping empty YAML file: {yaml_file}")
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continue
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# Generate key from filename (e.g., "ospf_issues.yaml" -> "injection_ospf")
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skill_key = f"injection_{yaml_file.stem}"
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skills[skill_key] = skill_data
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logger.debug(f"Loaded injection skill: {skill_key} from {yaml_file}")
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except Exception as e:
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logger.error(f"Failed to load skill from {yaml_file}: {e}")
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logger.debug(f"Loaded {len(skills)} injection skills from {injection_dir}")
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return skills
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def load_device_skills(self) -> Dict[str, Dict[str, Any]]:
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"""
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Load all device/feature skills from YAML files.
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Returns:
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Dictionary mapping skill keys to skill definitions
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"""
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if yaml is None:
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logger.error("PyYAML is not installed. Cannot load skills from YAML.")
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return {}
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skills = {}
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device_dir = self.skills_dir / "device"
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if not device_dir.exists():
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logger.warning(f"Device skills directory not found: {device_dir}")
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return {}
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for yaml_file in device_dir.glob("*.yaml"):
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try:
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skill_data = self._load_yaml(yaml_file)
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if not skill_data:
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logger.warning(f"Skipping empty YAML file: {yaml_file}")
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continue
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# Use device_type from YAML content as the key
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# Fallback to filename stem if device_type not present
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skill_key = skill_data.get("device_type") if isinstance(skill_data, dict) else None
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if not skill_key:
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skill_key = yaml_file.stem
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logger.warning(f"No device_type in {yaml_file}, using filename '{skill_key}' as key")
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skills[skill_key] = skill_data
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logger.debug(f"Loaded device skill: {skill_key} from {yaml_file}")
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except Exception as e:
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logger.error(f"Failed to load skill from {yaml_file}: {e}")
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logger.debug(f"Loaded {len(skills)} device skills from {device_dir}")
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return skills
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def load_prompt(self, prompt_name: str) -> str:
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"""
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Load a prompt from a markdown file.
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Args:
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prompt_name: Name of the prompt file (without .md extension)
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Returns:
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Prompt content as string, or empty string if not found
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"""
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prompts_dir = self.skills_dir / "prompts"
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prompt_file = prompts_dir / f"{prompt_name}.md"
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if not prompt_file.exists():
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logger.warning(f"Prompt file not found: {prompt_file}")
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return ""
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try:
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with open(prompt_file, "r", encoding="utf-8") as f:
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content = f.read()
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logger.debug(f"Loaded prompt: {prompt_name} from {prompt_file}")
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return content
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except Exception as e:
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logger.error(f"Failed to load prompt from {prompt_file}: {e}")
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return ""
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def load_forbidden_commands(self) -> list:
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"""
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Load forbidden commands from the config directory.
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Returns:
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List of forbidden command patterns, or empty list if not found
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"""
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config_dir = self.skills_dir / "config"
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config_file = config_dir / "forbidden_commands.txt"
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if not config_file.exists():
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logger.warning(f"Forbidden commands file not found: {config_file}")
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return []
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try:
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commands = []
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with open(config_file, "r", encoding="utf-8") as f:
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for line in f:
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line = line.strip()
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if not line or line.startswith("#"):
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continue
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commands.append(line.lower())
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logger.debug(f"Loaded {len(commands)} forbidden commands from {config_file}")
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return commands
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except Exception as e:
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logger.error(f"Failed to load forbidden commands from {config_file}: {e}")
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return []
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def load_packet_analysis_protocols(self) -> Dict[str, Dict[str, Any]]:
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"""
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Load packet analysis protocol definitions from YAML files.
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Returns:
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Dictionary mapping protocol keys to protocol definitions.
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Each protocol contains tshark_field, display_filter, and filter_examples.
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"""
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if yaml is None:
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logger.error("PyYAML is not installed. Cannot load packet analysis protocols.")
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return {}
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protocols = {}
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packet_analysis_dir = self.skills_dir / "packet_analysis"
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if not packet_analysis_dir.exists():
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logger.debug(f"Packet analysis directory not found: {packet_analysis_dir}")
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return {}
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for yaml_file in packet_analysis_dir.glob("*.yaml"):
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try:
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protocol_data = self._load_yaml(yaml_file)
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if not protocol_data:
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logger.warning(f"Skipping empty YAML file: {yaml_file}")
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continue
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# Use protocol_key field from YAML as the key
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protocol_key = protocol_data.get("protocol_key")
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if not protocol_key:
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logger.warning(f"No 'protocol_key' field in {yaml_file}, skipping")
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continue
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protocols[protocol_key] = protocol_data
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logger.debug(f"Loaded packet analysis protocol: {protocol_key} from {yaml_file}")
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except Exception as e:
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logger.error(f"Failed to load protocol from {yaml_file}: {e}")
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logger.debug(f"Loaded {len(protocols)} packet analysis protocols from {packet_analysis_dir}")
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return protocols
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def _load_yaml(self, file_path: Path) -> Dict[str, Any]:
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"""
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Load a YAML file and return its content.
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Args:
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file_path: Path to the YAML file
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Returns:
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Parsed YAML content as dictionary, or empty dict if file is empty
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"""
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with open(file_path, "r", encoding="utf-8") as f:
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data = yaml.safe_load(f)
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if not isinstance(data, dict):
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logger.warning(f"YAML file {file_path} is empty or has invalid format")
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return {}
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return data
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def validate_skill_format(self, skill_data: Dict[str, Any]) -> bool:
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"""
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Validate that a skill dictionary has the required fields.
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Args:
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skill_data: Skill dictionary to validate
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Returns:
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True if valid, False otherwise
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"""
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required_fields = ["name", "description", "issues"]
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for field in required_fields:
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if field not in skill_data:
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logger.error(f"Skill missing required field: {field}")
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return False
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if not isinstance(skill_data["issues"], dict):
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logger.error("Skill 'issues' field must be a dictionary")
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return False
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for issue_key, issue_data in skill_data["issues"].items():
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if not isinstance(issue_data, dict):
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logger.error(f"Issue '{issue_key}' must be a dictionary")
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return False
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issue_required = ["name", "description"]
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for field in issue_required:
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if field not in issue_data:
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logger.error(f"Issue '{issue_key}' missing required field: {field}")
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return False
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return True
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