192 lines
5.9 KiB
Python
192 lines
5.9 KiB
Python
# -*- coding: utf-8 -*-
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"""
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意图解析模块 - Intent Parser
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将自然语言指令转换为结构化任务
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"""
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import re
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from typing import Dict, Optional
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class IntentParser:
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"""意图解析器"""
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# 指令模式定义
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PATTERNS = {
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"code_review": {
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"keywords": ["审查", "review", "代码审查", "review code"],
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"target": "yunce",
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"action": "code_review",
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"param_extractor": "extract_repo_info"
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},
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"deploy": {
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"keywords": ["部署", "deploy", "发布"],
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"target": "prometheus",
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"action": "deploy",
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"param_extractor": "extract_deploy_info"
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},
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"status_check": {
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"keywords": ["检查状态", "status", "查看状态", "状态"],
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"target": "atlas",
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"action": "status_check",
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"param_extractor": "extract_target"
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},
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"data_analysis": {
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"keywords": ["分析", "analysis", "数据分析"],
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"target": "atlas",
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"action": "data_analysis",
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"param_extractor": "extract_data_info"
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},
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"file_operation": {
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"keywords": ["复制", "移动", "删除", "copy", "move", "delete"],
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"target": "oracle",
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"action": "file_operation",
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"param_extractor": "extract_file_info"
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}
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}
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def parse_intent(self, user_input: str) -> Dict:
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"""
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解析用户输入，返回结构化意图
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Args:
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user_input: 用户输入的自然语言
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Returns:
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{
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"action": "code_review",
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"target": "yunce",
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"params": {...}
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}
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"""
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user_input = user_input.strip()
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# 遍历所有模式，匹配关键词
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for pattern_name, pattern_config in self.PATTERNS.items():
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for keyword in pattern_config["keywords"]:
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if keyword in user_input:
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# 提取参数
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extractor_name = pattern_config["param_extractor"]
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extractor = getattr(self, extractor_name)
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params = extractor(user_input)
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return {
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"action": pattern_config["action"],
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"target": pattern_config["target"],
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"params": params
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}
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# 无法识别
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return {
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"error": "无法理解指令",
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"original_input": user_input
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}
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def extract_repo_info(self, text: str) -> Dict:
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"""从文本中提取仓库信息"""
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result = {}
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# 提取仓库名
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repo_match = re.search(r'(?:仓库|repo|项目)[:\s]*(\S+)', text)
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if not repo_match:
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repo_match = re.search(r'(?:审查|review)\s+(\S+)', text)
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if repo_match:
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result["repo"] = repo_match.group(1).strip('，。')
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# 提取分支
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branch_match = re.search(r'(?:分支|branch)[:\s]*(\S+)', text)
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if branch_match:
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result["branch"] = branch_match.group(1).strip('，。')
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else:
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result["branch"] = "main"
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return result
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def extract_deploy_info(self, text: str) -> Dict:
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"""从文本中提取部署信息"""
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result = {}
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# 提取服务名
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service_match = re.search(r'(?:服务|service|部署)[:\s]*(\S+)', text)
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if not service_match:
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service_match = re.search(r'部署\s+(\S+)', text)
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if service_match:
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result["service"] = service_match.group(1).strip('，。')
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# 提取环境
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if "生产" in text or "prod" in text.lower():
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result["env"] = "prod"
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elif "测试" in text or "test" in text.lower():
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result["env"] = "test"
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else:
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result["env"] = "dev"
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return result
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def extract_target(self, text: str) -> Dict:
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"""提取目标信息"""
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result = {}
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# 尝试提取目标名称
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target_match = re.search(r'(?:服务器|server|目标)[:\s]*(\S+)', text)
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if not target_match:
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target_match = re.search(r'检查\s+(\S+)', text)
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if target_match:
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result["target"] = target_match.group(1).strip('，。')
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return result
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def extract_data_info(self, text: str) -> Dict:
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"""提取数据分析信息"""
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result = {}
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# 提取数据源
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data_match = re.search(r'(?:数据|data|分析)[:\s]*(\S+)', text)
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if not data_match:
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data_match = re.search(r'分析\s+(\S+)', text)
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if data_match:
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result["data"] = data_match.group(1).strip('，。')
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return result
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def extract_file_info(self, text: str) -> Dict:
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"""提取文件操作信息"""
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result = {}
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# 提取文件路径
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path_match = re.search(r'[:\s](\S+\.\S+)', text)
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if path_match:
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result["path"] = path_match.group(1)
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# 提取操作类型
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if "复制" in text or "copy" in text.lower():
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result["operation"] = "copy"
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elif "移动" in text or "move" in text.lower():
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result["operation"] = "move"
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elif "删除" in text or "delete" in text.lower():
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result["operation"] = "delete"
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return result
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# 测试
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if __name__ == "__main__":
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parser = IntentParser()
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test_cases = [
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"帮我审查 my-project 仓库",
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"部署 test-server 到生产",
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"检查服务器状态",
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"分析销售数据"
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]
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for test in test_cases:
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result = parser.parse_intent(test)
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print(f"输入: {test}")
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print(f"输出: {result}")
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print("-" * 40)
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