故事引擎接入模糊搜索，提供缺省帮助

OlivaStoryCore/msgCustom.py

@@ -28,7 +28,8 @@
  'strStoryCoreStoryTall': '{tStoryCoreResult}\n\n{tStoryCoreSelection}',
  'strStoryCoreStoryTallNone': '故事不存在',
  'strStoryCoreStoryTallBreak': '故事中断了',
- 'strStoryCoreStoryTallEnd': '故事结束了'
+ 'strStoryCoreStoryTallEnd': '故事结束了',
+ 'strStoryCoreStoryRecommend': '未找到故事，您可能想要的是：\n{tStoryCoreRecommend}'
 }
 
 dictStrConst = {}
@@ -37,9 +38,27 @@
 
 dictTValue = {
  'tStoryCoreResult': 'N/A',
- 'tStoryCoreSelection': 'N/A'
+ 'tStoryCoreSelection': 'N/A',
+ 'tStoryCoreRecommend': 'N/A'
 }
 
-dictHelpDocTemp = {}
+dictHelpDocTemp = {
+ 'story': '''故事引擎模块:
+[.story [故事名称]] 开启对应的故事
+[.story end] 结束故事''',
+
+ 'OlivaStoryCore': '''[OlivaStoryCore]
+OlivaStory核心模块
+本模块为青果跑团掷骰机器人(OlivaDice)的故事引擎模块，新一代文游引擎，它的设计初衷是为了让骰主能够更加方便地进行文游的设计，以文游的方式进行带团。
+核心开发者: lunzhiPenxil仑质
+[.help OlivaStoryCore更新] 查看本模块更新日志
+注: 本模块为可选模块。''',
+
+ 'OlivaStoryCore更新': '''[OlivaStoryCore]
+3.0.1: 优化体验
+3.0.0: 初始化项目''',
+
+ '故事引擎': '&story',
+}
 
 dictUserConfigNoteDefault = {}

OlivaStoryCore/msgReply.py

@@ -249,14 +249,29 @@ def unity_reply(plugin_event, Proc):
  storyName = tmp_story_name,
  chatToken = tmp_chat_token
  )
- tmp_reply_str = getStoryTall(
- plugin_event = plugin_event,
- dictStrCustom = dictStrCustom,
- dictTValue = dictTValue,
- nodeData = tmp_nodeData,
- flagIsStart = True,
- noteList = tmp_noteList
- )
+ if tmp_nodeData is not None:
+ tmp_reply_str = getStoryTall(
+ plugin_event = plugin_event,
+ dictStrCustom = dictStrCustom,
+ dictTValue = dictTValue,
+ nodeData = tmp_nodeData,
+ flagIsStart = True,
+ noteList = tmp_noteList
+ )
+ else:
+ tmp_reply_str = None
+ searchList = getStorySearchList(tmp_story_name, tmp_botHash)
+ if len(searchList) > 0:
+ dictTValue['tStoryCoreRecommend'] = '\n'.join([f'[.story {storyName_this}]' for storyName_this in searchList])
+ tmp_reply_str = OlivaDiceCore.msgCustomManager.formatReplySTR(dictStrCustom['strStoryCoreStoryRecommend'], dictTValue)
+ else:
+ tmp_reply_str = OlivaDiceCore.msgCustomManager.formatReplySTR(dictStrCustom['strStoryCoreStoryTallNone'], dictTValue)
+ if tmp_reply_str != None:
+ replyMsg(plugin_event, tmp_reply_str)
+ else:
+ tmp_reply_str = OlivaDiceCore.helpDoc.getHelp('story', plugin_event.bot_info.hash)
+ if tmp_reply_str != None:
+ replyMsg(plugin_event, tmp_reply_str)
  else:
  tmp_platform = plugin_event.platform['platform']
  tmp_botHash = plugin_event.bot_info.hash
@@ -483,3 +498,25 @@ def getStoryTall(
  except Exception as e:
  traceback.print_exc()
  return res
+
+def getStorySearchList(storyName_search:str, botHash:str):
+ res = []
+ tmp_RecommendRank_list = []
+ if botHash in OlivaStoryCore.storyEngine.storyList:
+ for storyName_this in OlivaStoryCore.storyEngine.storyList[botHash]:
+ tmp_RecommendRank_list.append([
+ OlivaDiceCore.helpDoc.getRecommendRank(
+ storyName_search,
+ storyName_this
+ ),
+ storyName_this
+ ])
+ tmp_RecommendRank_list.sort(key = lambda x : x[0])
+ tmp_count_max = min(8, len(tmp_RecommendRank_list))
+ count = 0
+ while count < tmp_count_max:
+ if tmp_RecommendRank_list[count][0] < 1000:
+ if len(tmp_RecommendRank_list[count][1]) < 25:
+ res.append(tmp_RecommendRank_list[count][1])
+ count += 1
+ return res