75 lines
2.8 KiB
Python
75 lines
2.8 KiB
Python
# encoding:utf-8
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import json
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import os
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import plugins
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from bridge.context import ContextType
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from bridge.reply import Reply, ReplyType
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from common.log import logger
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from plugins import *
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@plugins.register(
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name="Keyword",
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desire_priority=900,
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hidden=True,
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desc="关键词匹配过滤",
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version="0.1",
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author="fengyege.top",
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)
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class Keyword(Plugin):
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def __init__(self):
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super().__init__()
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try:
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curdir = os.path.dirname(__file__)
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config_path = os.path.join(curdir, "config.json")
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conf = None
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if not os.path.exists(config_path):
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logger.debug(f"[keyword]不存在配置文件{config_path}")
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conf = {"keyword": {}}
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with open(config_path, "w", encoding="utf-8") as f:
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json.dump(conf, f, indent=4)
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else:
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logger.debug(f"[keyword]加载配置文件{config_path}")
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with open(config_path, "r", encoding="utf-8") as f:
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conf = json.load(f)
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# 加载关键词
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self.keyword = conf["keyword"]
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logger.info("[keyword] {}".format(self.keyword))
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self.handlers[Event.ON_HANDLE_CONTEXT] = self.on_handle_context
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logger.info("[keyword] inited.")
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except Exception as e:
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logger.warn("[keyword] init failed, ignore or see https://github.com/zhayujie/chatgpt-on-wechat/tree/master/plugins/keyword .")
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raise e
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def on_handle_context(self, e_context: EventContext):
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if e_context["context"].type != ContextType.TEXT:
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return
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content = e_context["context"].content.strip()
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logger.debug("[keyword] on_handle_context. content: %s" % content)
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if content in self.keyword:
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logger.debug(f"[keyword] 匹配到关键字【{content}】")
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reply_text = self.keyword[content]
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# 判断匹配内容的类型
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if (reply_text.startswith("http://") or reply_text.startswith("https://")) and any(reply_text.endswith(ext) for ext in [".jpg", ".jpeg", ".png", ".gif", ".webp"]):
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# 如果是以 http:// 或 https:// 开头，且.jpg/.jpeg/.png/.gif结尾，则认为是图片 URL
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reply = Reply()
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reply.type = ReplyType.IMAGE_URL
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reply.content = reply_text
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else:
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# 否则认为是普通文本
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reply = Reply()
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reply.type = ReplyType.TEXT
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reply.content = reply_text
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e_context["reply"] = reply
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e_context.action = EventAction.BREAK_PASS # 事件结束，并跳过处理context的默认逻辑
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def get_help_text(self, **kwargs):
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help_text = "关键词过滤"
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return help_text
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