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Log message metadata along with Khoj message instead of user message

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References should be attached to khoj chat messsage rather than the
users message in the chat interface
This commit is contained in:
Debanjum Singh Solanky
2023-03-08 18:45:13 -06:00
parent 87d1e1341d
commit 2739a492b4
2 changed files with 6 additions and 8 deletions
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12
src/khoj/processor/conversation/gpt.py
View File

@@ -186,22 +186,20 @@ def message_to_prompt(
return f"{conversation_history}{restart_sequence} {user_message}{start_sequence}{gpt_message}"
def message_to_log(user_message, gpt_message, user_message_metadata={}, conversation_log=[]):
def message_to_log(user_message, gpt_message, khoj_message_metadata={}, conversation_log=[]):
"""Create json logs from messages, metadata for conversation log"""
default_user_message_metadata = {
default_khoj_message_metadata = {
"intent": {"type": "remember", "memory-type": "notes", "query": user_message},
"trigger-emotion": "calm",
}
current_dt = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
# Create json log from Human's message
human_log = merge_dicts(user_message_metadata, default_user_message_metadata)
human_log["message"] = user_message
human_log["by"] = "you"
human_log["created"] = current_dt
human_log = {"message": user_message, "by": "you", "created": current_dt}
# Create json log from GPT's response
khoj_log = {"message": gpt_message, "by": "khoj", "created": current_dt}
khoj_log = merge_dicts(khoj_message_metadata, default_khoj_message_metadata)
khoj_log = merge_dicts({"message": gpt_message, "by": "khoj", "created": current_dt}, khoj_log)
conversation_log.extend([human_log, khoj_log])
return conversation_log

2
src/khoj/routers/api_beta.py
View File

@@ -101,7 +101,7 @@ def chat(q: Optional[str] = None):
# Update Conversation History
state.processor_config.conversation.chat_session = message_to_prompt(q, chat_session, gpt_message=gpt_response)
state.processor_config.conversation.meta_log["chat"] = message_to_log(
q, gpt_response, user_message_metadata={"context": collated_result}, conversation_log=meta_log.get("chat", [])
q, gpt_response, khoj_message_metadata={"context": collated_result}, conversation_log=meta_log.get("chat", [])
)
return {"status": status, "response": gpt_response, "context": collated_result}