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from typing import Any, Dict, List, Optional
from abc import ABC, abstractmethod
import logging
logger = logging.getLogger(__name__)
class Plugin(ABC):
"""
插件基类
所有插件必须继承此类并实现必要的方法
"""
def __init__(self, name: str, version: str = "1.0.0"):
self.name = name
self.version = version
self.enabled = True
self.logger = logging.getLogger(f"conventionalrp.plugins.{name}")
@abstractmethod
def initialize(self, config: Optional[Dict[str, Any]] = None):
pass
@abstractmethod
def process(self, data: Any) -> Any:
pass
def on_enable(self):
"""插件启用时调用"""
self.logger.info(f"Plugin {self.name} enabled")
def on_disable(self):
"""插件禁用时调用"""
self.logger.info(f"Plugin {self.name} disabled")
def get_metadata(self) -> Dict[str, Any]:
return {
"name": self.name,
"version": self.version,
"enabled": self.enabled,
"type": self.__class__.__name__,
}
def __repr__(self) -> str:
return f"Plugin(name={self.name}, version={self.version}, enabled={self.enabled})"
class ParserPlugin(Plugin):
def __init__(self, name: str, version: str = "1.0.0"):
super().__init__(name, version)
self.priority = 50
@abstractmethod
def can_parse(self, text: str) -> bool:
"""
判断是否可以解析给定文本
"""
pass
@abstractmethod
def parse(self, text: str) -> List[Dict[str, Any]]:
"""
解析文本
"""
pass
class ProcessorPlugin(Plugin):
@abstractmethod
def process_token(self, token: Dict[str, Any]) -> Dict[str, Any]:
"""
处理单个 token
"""
pass
def process(self, data: Any) -> Any:
"""
处理数据（实现基类方法）
"""
if isinstance(data, dict):
return self.process_token(data)
elif isinstance(data, list):
return [self.process_token(token) for token in data]
return data
class RendererPlugin(Plugin):
@abstractmethod
def render(self, data: Any) -> str:
pass
def process(self, data: Any) -> Any:
return self.render(data)
class AnalyzerPlugin(Plugin):
@abstractmethod
def analyze(self, data: Any) -> Dict[str, Any]:
pass
def process(self, data: Any) -> Any:
return self.analyze(data)
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