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Strip the incoming query from the slash conversation command (#500)
* Strip the incoming query from the slash conversation command before passing it to the model or for search * Return q when content index not loaded * Remove -n 4 from pytest ini configuration to isolate test failures
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2 changed files with 11 additions and 7 deletions
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@ -112,7 +112,7 @@ warn_unused_ignores = false
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line-length = 120
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[tool.pytest.ini_options]
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addopts = "--strict-markers -n 4"
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addopts = "--strict-markers"
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markers = [
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"chatquality: Evaluate chatbot capabilities and quality",
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]
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@ -702,10 +702,16 @@ async def chat(
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) -> Response:
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perform_chat_checks()
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conversation_command = get_conversation_command(query=q, any_references=True)
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q = q.replace(f"/{conversation_command.value}", "").strip()
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compiled_references, inferred_queries, defiltered_query = await extract_references_and_questions(
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request, q, (n or 5), conversation_command
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)
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conversation_command = get_conversation_command(query=q, any_references=not is_none_or_empty(compiled_references))
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if conversation_command == ConversationCommand.Default and is_none_or_empty(compiled_references):
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conversation_command = ConversationCommand.General
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if conversation_command == ConversationCommand.Help:
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model_type = "offline" if state.processor_config.conversation.enable_offline_chat else "openai"
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formatted_help = help_message.format(model=model_type, version=state.khoj_version)
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@ -768,18 +774,16 @@ async def extract_references_and_questions(
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logger.warning(
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"No content index loaded, so cannot extract references from knowledge base. Please configure your data sources and update the index to chat with your notes."
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)
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return compiled_references, inferred_queries
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return compiled_references, inferred_queries, q
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if conversation_type == ConversationCommand.General:
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return compiled_references, inferred_queries, q
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# Extract filter terms from user message
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defiltered_query = q
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filter_terms = []
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for filter in [DateFilter(), WordFilter(), FileFilter()]:
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filter_terms += filter.get_filter_terms(q)
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defiltered_query = filter.defilter(q)
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filters_in_query = " ".join(filter_terms)
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defiltered_query = filter.defilter(defiltered_query)
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filters_in_query = q.replace(defiltered_query, "").strip()
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# Infer search queries from user message
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with timer("Extracting search queries took", logger):
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