135 lines
4.6 KiB
Python
135 lines
4.6 KiB
Python
import datetime
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from quart import Blueprint, jsonify, request
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from quart_jwt_extended import (
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get_jwt_identity,
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jwt_refresh_token_required,
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)
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import blueprints.users.models
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from .agents import main_agent
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from .logic import (
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add_message_to_conversation,
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get_conversation_by_id,
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get_conversation_transcript,
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rename_conversation,
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)
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from .models import (
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Conversation,
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PydConversation,
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PydListConversation,
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)
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conversation_blueprint = Blueprint(
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"conversation_api", __name__, url_prefix="/api/conversation"
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)
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@conversation_blueprint.post("/query")
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@jwt_refresh_token_required
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async def query():
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current_user_uuid = get_jwt_identity()
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user = await blueprints.users.models.User.get(id=current_user_uuid)
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data = await request.get_json()
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query = data.get("query")
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conversation_id = data.get("conversation_id")
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conversation = await get_conversation_by_id(conversation_id)
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await conversation.fetch_related("messages")
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await add_message_to_conversation(
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conversation=conversation,
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message=query,
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speaker="user",
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user=user,
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)
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transcript = await get_conversation_transcript(user=user, conversation=conversation)
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transcript_prompt = f"Here is the message transcript thus far {transcript}."
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prompt = f"""Answer the user in as if you were a cat named Simba. Don't act too catlike. Be assertive.
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{transcript_prompt if len(transcript) > 0 else ""}
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Respond to this prompt: {query}"""
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payload = {
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"messages": [
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{
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"role": "system",
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"content": "You are a helpful cat assistant named Simba that understands veterinary terms. When there are questions to you specifically, they are referring to Simba the cat. Answer the user in as if you were a cat named Simba. Don't act too catlike. Be assertive.\n\nIMPORTANT: When users ask factual questions about Simba's health, medical history, veterinary visits, medications, weight, or any information that would be in documents, you MUST use the simba_search tool to retrieve accurate information before answering. Do not rely on general knowledge - always search the documents for factual questions.",
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},
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{"role": "user", "content": prompt},
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]
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}
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response = await main_agent.ainvoke(payload)
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message = response.get("messages", [])[-1].content
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await add_message_to_conversation(
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conversation=conversation,
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message=message,
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speaker="simba",
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user=user,
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)
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return jsonify({"response": message})
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@conversation_blueprint.route("/<conversation_id>")
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@jwt_refresh_token_required
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async def get_conversation(conversation_id: str):
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conversation = await Conversation.get(id=conversation_id)
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current_user_uuid = get_jwt_identity()
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user = await blueprints.users.models.User.get(id=current_user_uuid)
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await conversation.fetch_related("messages")
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# Manually serialize the conversation with messages
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messages = []
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for msg in conversation.messages:
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messages.append(
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{
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"id": str(msg.id),
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"text": msg.text,
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"speaker": msg.speaker.value,
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"created_at": msg.created_at.isoformat(),
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}
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)
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name = conversation.name
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if len(messages) > 8 and "datetime" in name.lower():
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name = await rename_conversation(
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user=user,
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conversation=conversation,
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)
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print(name)
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return jsonify(
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{
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"id": str(conversation.id),
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"name": name,
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"messages": messages,
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"created_at": conversation.created_at.isoformat(),
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"updated_at": conversation.updated_at.isoformat(),
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}
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)
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@conversation_blueprint.post("/")
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@jwt_refresh_token_required
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async def create_conversation():
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user_uuid = get_jwt_identity()
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user = await blueprints.users.models.User.get(id=user_uuid)
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conversation = await Conversation.create(
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name=f"{user.username} {datetime.datetime.now().timestamp}",
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user=user,
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)
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serialized_conversation = await PydConversation.from_tortoise_orm(conversation)
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return jsonify(serialized_conversation.model_dump())
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@conversation_blueprint.get("/")
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@jwt_refresh_token_required
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async def get_all_conversations():
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user_uuid = get_jwt_identity()
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user = await blueprints.users.models.User.get(id=user_uuid)
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conversations = Conversation.filter(user=user)
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serialized_conversations = await PydListConversation.from_queryset(conversations)
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return jsonify(serialized_conversations.model_dump())
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