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https://github.com/hwchase17/langchain
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Improve ConversationKGMemory and its function load_memory_variables (#1999)
1. Removed the `summaries` dictionary in favor of directly appending to the summary_strings list, which avoids the unnecessary double-loop. 2. Simplified the logic for populating the `context` variable. Co-created with GPT-4 @agihouse
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@ -41,27 +41,23 @@ class ConversationKGMemory(BaseChatMemory, BaseModel):
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def load_memory_variables(self, inputs: Dict[str, Any]) -> Dict[str, Any]:
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def load_memory_variables(self, inputs: Dict[str, Any]) -> Dict[str, Any]:
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"""Return history buffer."""
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"""Return history buffer."""
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entities = self._get_current_entities(inputs)
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entities = self._get_current_entities(inputs)
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summaries = {}
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summary_strings = []
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for entity in entities:
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for entity in entities:
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knowledge = self.kg.get_entity_knowledge(entity)
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knowledge = self.kg.get_entity_knowledge(entity)
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if knowledge:
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if knowledge:
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summaries[entity] = ". ".join(knowledge) + "."
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summary = f"On {entity}: {'. '.join(knowledge)}."
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summary_strings.append(summary)
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context: Union[str, List]
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context: Union[str, List]
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if summaries:
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if not summary_strings:
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summary_strings = [
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context = [] if self.return_messages else ""
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f"On {entity}: {summary}" for entity, summary in summaries.items()
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elif self.return_messages:
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]
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if self.return_messages:
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context = [
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context = [
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self.summary_message_cls(content=text) for text in summary_strings
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self.summary_message_cls(content=text) for text in summary_strings
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]
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]
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else:
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else:
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context = "\n".join(summary_strings)
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context = "\n".join(summary_strings)
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else:
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if self.return_messages:
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context = []
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else:
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context = ""
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return {self.memory_key: context}
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return {self.memory_key: context}
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@property
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@property
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