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962 lines
40 KiB
962 lines
40 KiB
import datetime
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import re
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import traceback
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import aiohttp
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import discord
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from discord.ext import pages
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import unidecode
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from models.embed_statics_model import EmbedStatics
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from services.deletion_service import Deletion
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from models.openai_model import Model, Override
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from models.user_model import EmbeddedConversationItem, RedoUser
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from services.environment_service import EnvService
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from services.moderations_service import Moderation
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BOT_NAME = EnvService.get_custom_bot_name()
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PRE_MODERATE = EnvService.get_premoderate()
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class TextService:
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def __init__(self):
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pass
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@staticmethod
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async def encapsulated_send(
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converser_cog,
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id,
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prompt,
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ctx,
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response_message=None,
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overrides=None,
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instruction=None,
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from_ask_command=False,
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from_edit_command=False,
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codex=False,
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model=None,
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user=None,
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custom_api_key=None,
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edited_request=False,
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redo_request=False,
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from_ask_action=False,
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from_other_action=None,
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from_message_context=None,
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):
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"""General service function for sending and receiving gpt generations
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Args:
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converser_cog (Cog): The conversation cog with our gpt commands
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id (user or thread id): A user or thread id for keeping track of conversations
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prompt (str): The prompt to use for generation
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ctx (ApplicationContext): The interaction which called this
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response_message (discord.Message, optional): For when we're doing redos. Defaults to None.
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temp_override (float, optional): Sets the temperature for the generation. Defaults to None.
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top_p_override (float, optional): Sets the top p for the generation. Defaults to None.
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frequency_penalty_override (float, optional): Sets the frequency penalty for the generation. Defaults to None.
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presence_penalty_override (float, optional): Sets the presence penalty for the generation. Defaults to None.
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instruction (str, optional): Instruction for use with the edit endpoint. Defaults to None.
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from_ask_command (bool, optional): Called from the ask command. Defaults to False.
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from_edit_command (bool, optional): Called from the edit command. Defaults to False.
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codex (bool, optional): Pass along that we want to use a codex model. Defaults to False.
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model (str, optional): Which model to generate output with. Defaults to None.
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user (discord.User, optional): An user object that can be used to set the stop. Defaults to None.
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custom_api_key (str, optional): per-user api key. Defaults to None.
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edited_request (bool, optional): If we're doing an edited message. Defaults to False.
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redo_request (bool, optional): If we're redoing a previous prompt. Defaults to False.
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from_action (bool, optional): If the function is being called from a message action. Defaults to False.
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"""
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new_prompt = (
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prompt + "\n" + BOT_NAME
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if not from_ask_command and not from_edit_command and not redo_request
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else prompt
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)
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stop = f"{ctx.author.display_name if user is None else user.display_name}:"
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from_context = isinstance(ctx, discord.ApplicationContext)
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if not instruction:
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tokens = converser_cog.usage_service.count_tokens(new_prompt)
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else:
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tokens = converser_cog.usage_service.count_tokens(
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new_prompt
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) + converser_cog.usage_service.count_tokens(instruction)
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try:
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# Pinecone is enabled, we will create embeddings for this conversation.
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if (
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converser_cog.pinecone_service
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and ctx.channel.id in converser_cog.conversation_threads
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):
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# Delete "GPTie: <|endofstatement|>" from the user's conversation history if it exists
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for item in converser_cog.conversation_threads[ctx.channel.id].history:
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if item.text.strip() == BOT_NAME + "<|endofstatement|>":
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converser_cog.conversation_threads[
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ctx.channel.id
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].history.remove(item)
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# The conversation_id is the id of the thread
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conversation_id = ctx.channel.id
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# Create an embedding and timestamp for the prompt
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# new_prompt = prompt.encode("ascii", "ignore").decode()
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new_prompt = unidecode.unidecode(new_prompt)
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prompt_less_author = f"{new_prompt} <|endofstatement|>\n"
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user_displayname = (
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ctx.author.display_name if not user else user.display_name
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)
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new_prompt = f"\n{user_displayname}: {new_prompt} <|endofstatement|>\n"
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# new_prompt = new_prompt.encode("ascii", "ignore").decode()
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new_prompt = unidecode.unidecode(new_prompt)
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timestamp = int(
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str(datetime.datetime.now().timestamp()).replace(".", "")
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)
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new_prompt_item = EmbeddedConversationItem(new_prompt, timestamp)
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if not redo_request:
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converser_cog.conversation_threads[conversation_id].history.append(
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new_prompt_item
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)
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if edited_request:
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new_prompt = "".join(
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[
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item.text
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for item in converser_cog.conversation_threads[
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ctx.channel.id
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].history
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]
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)
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converser_cog.redo_users[ctx.author.id].prompt = new_prompt
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else:
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# Create and upsert the embedding for the conversation id, prompt, timestamp
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await converser_cog.pinecone_service.upsert_conversation_embedding(
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converser_cog.model,
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conversation_id,
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new_prompt,
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timestamp,
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custom_api_key=custom_api_key,
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)
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embedding_prompt_less_author = await converser_cog.model.send_embedding_request(
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prompt_less_author, custom_api_key=custom_api_key
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) # Use the version of the prompt without the author's name for better clarity on retrieval.
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# Now, build the new prompt by getting the X most similar with pinecone
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similar_prompts = converser_cog.pinecone_service.get_n_similar(
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conversation_id,
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embedding_prompt_less_author,
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n=converser_cog.model.num_conversation_lookback,
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)
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# When we are in embeddings mode, only the pre-text is contained in converser_cog.conversation_threads[message.channel.id].history, so we
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# can use that as a base to build our new prompt
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prompt_with_history = [
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converser_cog.conversation_threads[ctx.channel.id].history[0]
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]
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# Append the similar prompts to the prompt with history
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prompt_with_history += [
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EmbeddedConversationItem(prompt, timestamp)
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for prompt, timestamp in similar_prompts
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]
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# iterate UP TO the last X prompts in the history
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for i in range(
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1,
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min(
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len(
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converser_cog.conversation_threads[
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ctx.channel.id
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].history
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),
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converser_cog.model.num_static_conversation_items,
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),
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):
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prompt_with_history.append(
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converser_cog.conversation_threads[ctx.channel.id].history[
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-i
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]
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)
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# remove duplicates from prompt_with_history and set the conversation history
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prompt_with_history = list(dict.fromkeys(prompt_with_history))
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# Sort the prompt_with_history by increasing timestamp if pinecone is enabled
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if converser_cog.pinecone_service:
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prompt_with_history.sort(key=lambda x: x.timestamp)
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# Remove the last two entries after sort, this is from the end of the list as prompt(redo), answer, prompt(original), leaving only prompt(original) and further history
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if redo_request:
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prompt_with_history = prompt_with_history[:-2]
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converser_cog.conversation_threads[
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ctx.channel.id
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].history = prompt_with_history
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# Ensure that the last prompt in this list is the prompt we just sent (new_prompt_item)
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if prompt_with_history[-1].text != new_prompt_item.text:
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try:
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prompt_with_history.remove(new_prompt_item)
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except ValueError:
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pass
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prompt_with_history.append(new_prompt_item)
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prompt_with_history = "".join(
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[item.text for item in prompt_with_history]
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)
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new_prompt = prompt_with_history + "\n" + BOT_NAME
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tokens = converser_cog.usage_service.count_tokens(new_prompt)
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# No pinecone, we do conversation summarization for long term memory instead
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elif (
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id in converser_cog.conversation_threads
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and tokens > converser_cog.model.summarize_threshold
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and not from_ask_command
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and not from_edit_command
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and not converser_cog.pinecone_service # This should only happen if we are not doing summarizations.
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):
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# We don't need to worry about the differences between interactions and messages in this block,
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# because if we are in this block, we can only be using a message object for ctx
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if converser_cog.model.summarize_conversations:
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await ctx.reply(
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"I'm currently summarizing our current conversation so we can keep chatting, "
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"give me one moment!"
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)
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await converser_cog.summarize_conversation(ctx, new_prompt)
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# Check again if the prompt is about to go past the token limit
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new_prompt = (
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"".join(
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[
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item.text
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for item in converser_cog.conversation_threads[
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id
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].history
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]
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)
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+ "\n"
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+ BOT_NAME
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)
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tokens = converser_cog.usage_service.count_tokens(new_prompt)
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if (
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tokens > converser_cog.model.summarize_threshold - 150
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): # 150 is a buffer for the second stage
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await ctx.reply(
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"I tried to summarize our current conversation so we could keep chatting, "
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"but it still went over the token "
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"limit. Please try again later."
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)
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await converser_cog.end_conversation(ctx)
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converser_cog.remove_awaiting(ctx.author.id, ctx.channel.id)
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return
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else:
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await ctx.reply("The conversation context limit has been reached.")
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await converser_cog.end_conversation(ctx)
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return
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# Send the request to the model
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if from_edit_command:
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response = await converser_cog.model.send_edit_request(
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text=new_prompt,
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instruction=instruction,
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temp_override=overrides.temperature,
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top_p_override=overrides.top_p,
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codex=codex,
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custom_api_key=custom_api_key,
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)
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else:
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response = await converser_cog.model.send_request(
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new_prompt,
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tokens=tokens,
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temp_override=overrides.temperature,
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top_p_override=overrides.top_p,
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frequency_penalty_override=overrides.frequency_penalty,
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presence_penalty_override=overrides.presence_penalty,
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model=model,
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stop=stop if not from_ask_command else None,
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custom_api_key=custom_api_key,
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)
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# Clean the request response
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response_text = converser_cog.cleanse_response(
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str(response["choices"][0]["text"])
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)
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if from_message_context:
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response_text = f"{response_text}"
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elif from_other_action:
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response_text = f"***{from_other_action}*** {response_text}"
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elif from_ask_command or from_ask_action:
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response_text = f"***{prompt}***{response_text}"
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elif from_edit_command:
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if codex:
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response_text = response_text.strip()
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response_text = f"***Prompt: {prompt}***\n***Instruction: {instruction}***\n\n```\n{response_text}\n```"
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else:
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response_text = response_text.strip()
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response_text = f"***Prompt: {prompt}***\n***Instruction: {instruction}***\n\n{response_text}\n"
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# If gpt3 tries writing a user mention try to replace it with their name
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response_text = await converser_cog.mention_to_username(ctx, response_text)
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# If the user is conversing, add the GPT response to their conversation history.
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if (
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ctx.channel.id in converser_cog.conversation_threads
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and not from_ask_command
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and not converser_cog.pinecone_service
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):
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if not redo_request:
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converser_cog.conversation_threads[ctx.channel.id].history.append(
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EmbeddedConversationItem(
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"\n"
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+ BOT_NAME
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+ str(response_text)
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+ "<|endofstatement|>\n",
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0,
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)
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)
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# Embeddings case!
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elif (
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ctx.channel.id in converser_cog.conversation_threads
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and not from_ask_command
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and not from_edit_command
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and converser_cog.pinecone_service
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):
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conversation_id = ctx.channel.id
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# Create an embedding and timestamp for the prompt
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response_text = (
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"\n" + BOT_NAME + str(response_text) + "<|endofstatement|>\n"
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)
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# response_text = response_text.encode("ascii", "ignore").decode()
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response_text = unidecode.unidecode(response_text)
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# Print the current timestamp
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timestamp = int(
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str(datetime.datetime.now().timestamp()).replace(".", "")
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)
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converser_cog.conversation_threads[conversation_id].history.append(
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EmbeddedConversationItem(response_text, timestamp)
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)
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# Create and upsert the embedding for the conversation id, prompt, timestamp
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embedding = (
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await converser_cog.pinecone_service.upsert_conversation_embedding(
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converser_cog.model,
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conversation_id,
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response_text,
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timestamp,
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custom_api_key=custom_api_key,
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)
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)
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# Cleanse again
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response_text = converser_cog.cleanse_response(response_text)
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# escape any other mentions like @here or @everyone
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response_text = discord.utils.escape_mentions(response_text)
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# If we don't have a response message, we are not doing a redo, send as a new message(s)
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if not response_message:
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if len(response_text) > converser_cog.TEXT_CUTOFF:
|
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if not from_context:
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paginator = None
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await converser_cog.paginate_and_send(response_text, ctx)
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else:
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embed_pages = await converser_cog.paginate_embed(
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response_text, codex, prompt, instruction
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)
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view = ConversationView(
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ctx,
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converser_cog,
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ctx.channel.id,
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model,
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from_ask_command,
|
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from_edit_command,
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custom_api_key=custom_api_key,
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)
|
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paginator = pages.Paginator(
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pages=embed_pages,
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timeout=None,
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custom_view=view,
|
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author_check=True,
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)
|
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response_message = await paginator.respond(ctx.interaction)
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else:
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paginator = None
|
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if not from_context:
|
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response_message = await ctx.reply(
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response_text,
|
|
view=ConversationView(
|
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ctx,
|
|
converser_cog,
|
|
ctx.channel.id,
|
|
model,
|
|
custom_api_key=custom_api_key,
|
|
),
|
|
)
|
|
elif from_edit_command:
|
|
response_message = await ctx.respond(
|
|
response_text,
|
|
view=ConversationView(
|
|
ctx,
|
|
converser_cog,
|
|
ctx.channel.id,
|
|
model,
|
|
from_edit_command=from_edit_command,
|
|
custom_api_key=custom_api_key,
|
|
),
|
|
)
|
|
else:
|
|
response_message = await ctx.respond(
|
|
response_text,
|
|
view=ConversationView(
|
|
ctx,
|
|
converser_cog,
|
|
ctx.channel.id,
|
|
model,
|
|
from_ask_command=from_ask_command,
|
|
custom_api_key=custom_api_key,
|
|
),
|
|
)
|
|
converser_cog.redo_users[ctx.author.id] = RedoUser(
|
|
prompt=new_prompt if not converser_cog.pinecone_service else prompt,
|
|
instruction=instruction,
|
|
ctx=ctx,
|
|
message=ctx,
|
|
response=response_message,
|
|
codex=codex,
|
|
paginator=paginator,
|
|
)
|
|
converser_cog.redo_users[ctx.author.id].add_interaction(
|
|
response_message.id
|
|
)
|
|
|
|
# We are doing a redo, edit the message.
|
|
else:
|
|
paginator = converser_cog.redo_users.get(ctx.author.id).paginator
|
|
if isinstance(paginator, pages.Paginator):
|
|
embed_pages = await converser_cog.paginate_embed(
|
|
response_text, codex, prompt, instruction
|
|
)
|
|
view = ConversationView(
|
|
ctx,
|
|
converser_cog,
|
|
ctx.channel.id,
|
|
model,
|
|
from_ask_command,
|
|
from_edit_command,
|
|
custom_api_key=custom_api_key,
|
|
)
|
|
await paginator.update(pages=embed_pages, custom_view=view)
|
|
elif len(response_text) > converser_cog.TEXT_CUTOFF:
|
|
if not from_context:
|
|
await response_message.channel.send(
|
|
"Over 2000 characters", delete_after=5
|
|
)
|
|
else:
|
|
await response_message.edit(content=response_text)
|
|
|
|
await converser_cog.send_debug_message(
|
|
converser_cog.generate_debug_message(prompt, response),
|
|
converser_cog.debug_channel,
|
|
)
|
|
|
|
converser_cog.remove_awaiting(
|
|
ctx.author.id, ctx.channel.id, from_ask_command, from_edit_command
|
|
)
|
|
|
|
# Error catching for AIOHTTP Errors
|
|
except aiohttp.ClientResponseError as e:
|
|
embed = EmbedStatics.get_invalid_api_response_embed(e)
|
|
if from_context:
|
|
await ctx.send_followup(embed=embed)
|
|
else:
|
|
await ctx.reply(embed=embed)
|
|
converser_cog.remove_awaiting(
|
|
ctx.author.id, ctx.channel.id, from_ask_command, from_edit_command
|
|
)
|
|
|
|
# Error catching for OpenAI model value errors
|
|
except ValueError as e:
|
|
embed = EmbedStatics.get_invalid_value_embed(e)
|
|
if from_ask_action:
|
|
await ctx.respond(embed=embed, ephemeral=True)
|
|
elif from_context:
|
|
await ctx.send_followup(embed=embed, ephemeral=True)
|
|
else:
|
|
await ctx.reply(e)
|
|
converser_cog.remove_awaiting(
|
|
ctx.author.id, ctx.channel.id, from_ask_command, from_edit_command
|
|
)
|
|
|
|
# General catch case for everything
|
|
except Exception as e:
|
|
embed = EmbedStatics.get_general_error_embed(e)
|
|
|
|
if not from_context:
|
|
await ctx.send_followup(embed=embed)
|
|
elif from_ask_command:
|
|
await ctx.respond(embed=embed)
|
|
else:
|
|
await ctx.reply(embed=embed)
|
|
|
|
converser_cog.remove_awaiting(
|
|
ctx.author.id, ctx.channel.id, from_ask_command, from_edit_command
|
|
)
|
|
traceback.print_exc()
|
|
|
|
try:
|
|
await converser_cog.end_conversation(ctx)
|
|
except Exception:
|
|
pass
|
|
return
|
|
|
|
@staticmethod
|
|
async def process_conversation_message(
|
|
converser_cog, message, USER_INPUT_API_KEYS, USER_KEY_DB
|
|
):
|
|
content = message.content.strip()
|
|
conversing = converser_cog.check_conversing(message.channel.id, content)
|
|
|
|
# If the user is conversing and they want to end it, end it immediately before we continue any further.
|
|
if conversing and message.content.lower() in converser_cog.END_PROMPTS:
|
|
await converser_cog.end_conversation(message)
|
|
return
|
|
|
|
if conversing:
|
|
# Pre-moderation check
|
|
if PRE_MODERATE:
|
|
if await Moderation.simple_moderate_and_respond(
|
|
message.content, message
|
|
):
|
|
await message.delete()
|
|
return
|
|
|
|
user_api_key = None
|
|
if USER_INPUT_API_KEYS:
|
|
user_api_key = await TextService.get_user_api_key(
|
|
message.author.id, message, USER_KEY_DB
|
|
)
|
|
if not user_api_key:
|
|
return
|
|
|
|
prompt = await converser_cog.mention_to_username(message, content)
|
|
|
|
if await converser_cog.check_conversation_limit(message):
|
|
return
|
|
|
|
# If the user is in a conversation thread
|
|
if message.channel.id in converser_cog.conversation_threads:
|
|
# Since this is async, we don't want to allow the user to send another prompt while a conversation
|
|
# prompt is processing, that'll mess up the conversation history!
|
|
if message.author.id in converser_cog.awaiting_responses:
|
|
message = await message.reply(
|
|
embed=discord.Embed(
|
|
title=f"You are already waiting for a response, please wait and speak afterwards.",
|
|
color=0x808080,
|
|
)
|
|
)
|
|
|
|
# get the current date, add 10 seconds to it, and then turn it into a timestamp.
|
|
# we need to use our deletion service because this isn't an interaction, it's a regular message.
|
|
deletion_time = datetime.datetime.now() + datetime.timedelta(
|
|
seconds=10
|
|
)
|
|
deletion_time = deletion_time.timestamp()
|
|
|
|
deletion_message = Deletion(message, deletion_time)
|
|
await converser_cog.deletion_queue.put(deletion_message)
|
|
|
|
return
|
|
|
|
if message.channel.id in converser_cog.awaiting_thread_responses:
|
|
message = await message.reply(
|
|
embed=discord.Embed(
|
|
title=f"This thread is already waiting for a response, please wait and speak afterwards.",
|
|
color=0x808080,
|
|
)
|
|
)
|
|
|
|
# get the current date, add 10 seconds to it, and then turn it into a timestamp.
|
|
# we need to use our deletion service because this isn't an interaction, it's a regular message.
|
|
deletion_time = datetime.datetime.now() + datetime.timedelta(
|
|
seconds=10
|
|
)
|
|
deletion_time = deletion_time.timestamp()
|
|
|
|
deletion_message = Deletion(message, deletion_time)
|
|
await converser_cog.deletion_queue.put(deletion_message)
|
|
|
|
return
|
|
|
|
converser_cog.awaiting_responses.append(message.author.id)
|
|
converser_cog.awaiting_thread_responses.append(message.channel.id)
|
|
|
|
if not converser_cog.pinecone_service:
|
|
converser_cog.conversation_threads[
|
|
message.channel.id
|
|
].history.append(
|
|
EmbeddedConversationItem(
|
|
f"\n{message.author.display_name}: {prompt} <|endofstatement|>\n",
|
|
0,
|
|
)
|
|
)
|
|
|
|
# increment the conversation counter for the user
|
|
converser_cog.conversation_threads[message.channel.id].count += 1
|
|
|
|
# Send the request to the model
|
|
# If conversing, the prompt to send is the history, otherwise, it's just the prompt
|
|
if (
|
|
converser_cog.pinecone_service
|
|
or message.channel.id not in converser_cog.conversation_threads
|
|
):
|
|
primary_prompt = prompt
|
|
else:
|
|
primary_prompt = "".join(
|
|
[
|
|
item.text
|
|
for item in converser_cog.conversation_threads[
|
|
message.channel.id
|
|
].history
|
|
]
|
|
)
|
|
|
|
# set conversation overrides
|
|
conversation_overrides = converser_cog.conversation_threads[
|
|
message.channel.id
|
|
].get_overrides()
|
|
overrides = Override(
|
|
conversation_overrides["temperature"],
|
|
conversation_overrides["top_p"],
|
|
conversation_overrides["frequency_penalty"],
|
|
conversation_overrides["presence_penalty"],
|
|
)
|
|
|
|
# Send an embed that tells the user that the bot is thinking
|
|
thinking_embed = discord.Embed(
|
|
title=f"🤖💬 Thinking...",
|
|
color=0x808080,
|
|
)
|
|
thinking_embed.set_footer(text="This may take a few seconds.")
|
|
thinking_message = await message.reply(embed=thinking_embed)
|
|
|
|
await TextService.encapsulated_send(
|
|
converser_cog,
|
|
message.channel.id,
|
|
primary_prompt,
|
|
message,
|
|
overrides=overrides,
|
|
model=converser_cog.conversation_threads[message.channel.id].model,
|
|
custom_api_key=user_api_key,
|
|
)
|
|
|
|
# Delete the thinking embed
|
|
await thinking_message.delete()
|
|
|
|
return True
|
|
|
|
@staticmethod
|
|
async def get_user_api_key(user_id, ctx, USER_KEY_DB):
|
|
user_api_key = None if user_id not in USER_KEY_DB else USER_KEY_DB[user_id]
|
|
if user_api_key is None or user_api_key == "":
|
|
modal = SetupModal(user_key_db=USER_KEY_DB)
|
|
if isinstance(ctx, discord.ApplicationContext):
|
|
await ctx.send_modal(modal)
|
|
await ctx.send_followup(
|
|
"You must set up your API key before using this command."
|
|
)
|
|
else:
|
|
await ctx.reply(
|
|
"You must set up your API key before typing in a GPT3 powered channel, type `/setup` to enter your API key."
|
|
)
|
|
return user_api_key
|
|
|
|
@staticmethod
|
|
async def process_conversation_edit(converser_cog, after, original_message):
|
|
if after.author.id in converser_cog.redo_users:
|
|
if after.id == original_message[after.author.id]:
|
|
response_message = converser_cog.redo_users[after.author.id].response
|
|
ctx = converser_cog.redo_users[after.author.id].ctx
|
|
await response_message.edit(content="Redoing prompt 🔄...")
|
|
|
|
edited_content = await converser_cog.mention_to_username(
|
|
after, after.content
|
|
)
|
|
|
|
if after.channel.id in converser_cog.conversation_threads:
|
|
# Remove the last two elements from the history array and add the new <username>: prompt
|
|
converser_cog.conversation_threads[
|
|
after.channel.id
|
|
].history = converser_cog.conversation_threads[
|
|
after.channel.id
|
|
].history[
|
|
:-2
|
|
]
|
|
|
|
pinecone_dont_reinsert = None
|
|
if not converser_cog.pinecone_service:
|
|
converser_cog.conversation_threads[
|
|
after.channel.id
|
|
].history.append(
|
|
EmbeddedConversationItem(
|
|
f"\n{after.author.display_name}: {after.content}<|endofstatement|>\n",
|
|
0,
|
|
)
|
|
)
|
|
|
|
converser_cog.conversation_threads[after.channel.id].count += 1
|
|
|
|
overrides = converser_cog.conversation_threads[
|
|
after.channel.id
|
|
].get_overrides()
|
|
|
|
await TextService.encapsulated_send(
|
|
converser_cog,
|
|
id=after.channel.id,
|
|
prompt=edited_content,
|
|
ctx=ctx,
|
|
response_message=response_message,
|
|
temp_override=overrides["temperature"],
|
|
top_p_override=overrides["top_p"],
|
|
frequency_penalty_override=overrides["frequency_penalty"],
|
|
presence_penalty_override=overrides["presence_penalty"],
|
|
model=converser_cog.conversation_threads[after.channel.id].model,
|
|
edited_request=True,
|
|
)
|
|
|
|
if not converser_cog.pinecone_service:
|
|
converser_cog.redo_users[after.author.id].prompt = edited_content
|
|
|
|
|
|
#
|
|
# Conversation interaction buttons
|
|
#
|
|
|
|
|
|
class ConversationView(discord.ui.View):
|
|
def __init__(
|
|
self,
|
|
ctx,
|
|
converser_cog,
|
|
id,
|
|
model,
|
|
from_ask_command=False,
|
|
from_edit_command=False,
|
|
custom_api_key=None,
|
|
):
|
|
super().__init__(timeout=3600) # 1 hour interval to redo.
|
|
self.converser_cog = converser_cog
|
|
self.ctx = ctx
|
|
self.model = model
|
|
self.from_ask_command = from_ask_command
|
|
self.from_edit_command = from_edit_command
|
|
self.custom_api_key = custom_api_key
|
|
self.add_item(
|
|
RedoButton(
|
|
self.converser_cog,
|
|
model=model,
|
|
from_ask_command=from_ask_command,
|
|
from_edit_command=from_edit_command,
|
|
custom_api_key=self.custom_api_key,
|
|
)
|
|
)
|
|
|
|
if id in self.converser_cog.conversation_threads:
|
|
self.add_item(EndConvoButton(self.converser_cog))
|
|
|
|
async def on_timeout(self):
|
|
# Remove the button from the view/message
|
|
self.clear_items()
|
|
# Send a message to the user saying the view has timed out
|
|
if self.message:
|
|
# check if the timeout happens in a thread and if it's locked
|
|
if isinstance(self.message.channel, discord.Thread):
|
|
if self.message.channel.locked:
|
|
return
|
|
await self.message.edit(
|
|
view=None,
|
|
)
|
|
else:
|
|
await self.ctx.edit(
|
|
view=None,
|
|
)
|
|
|
|
|
|
class EndConvoButton(discord.ui.Button["ConversationView"]):
|
|
def __init__(self, converser_cog):
|
|
super().__init__(
|
|
style=discord.ButtonStyle.danger,
|
|
label="End Conversation",
|
|
custom_id="conversation_end",
|
|
)
|
|
self.converser_cog = converser_cog
|
|
|
|
async def callback(self, interaction: discord.Interaction):
|
|
# Get the user
|
|
user_id = interaction.user.id
|
|
if (
|
|
user_id in self.converser_cog.conversation_thread_owners
|
|
and interaction.channel.id
|
|
in self.converser_cog.conversation_thread_owners[user_id]
|
|
):
|
|
try:
|
|
await self.converser_cog.end_conversation(
|
|
interaction, opener_user_id=interaction.user.id
|
|
)
|
|
except Exception as e:
|
|
print(e)
|
|
traceback.print_exc()
|
|
await interaction.response.send_message(
|
|
e, ephemeral=True, delete_after=30
|
|
)
|
|
else:
|
|
await interaction.response.send_message(
|
|
"This is not your conversation to end!", ephemeral=True, delete_after=10
|
|
)
|
|
|
|
|
|
class RedoButton(discord.ui.Button["ConversationView"]):
|
|
def __init__(
|
|
self, converser_cog, model, from_ask_command, from_edit_command, custom_api_key
|
|
):
|
|
super().__init__(
|
|
style=discord.ButtonStyle.danger,
|
|
label="Retry",
|
|
custom_id="conversation_redo",
|
|
)
|
|
self.converser_cog = converser_cog
|
|
self.model = model
|
|
self.from_ask_command = from_ask_command
|
|
self.from_edit_command = from_edit_command
|
|
self.custom_api_key = custom_api_key
|
|
|
|
async def callback(self, interaction: discord.Interaction):
|
|
# Get the user
|
|
user_id = interaction.user.id
|
|
if user_id in self.converser_cog.redo_users and self.converser_cog.redo_users[
|
|
user_id
|
|
].in_interaction(interaction.message.id):
|
|
# Get the message and the prompt and call encapsulated_send
|
|
prompt = self.converser_cog.redo_users[user_id].prompt
|
|
instruction = self.converser_cog.redo_users[user_id].instruction
|
|
ctx = self.converser_cog.redo_users[user_id].ctx
|
|
response_message = self.converser_cog.redo_users[user_id].response
|
|
codex = self.converser_cog.redo_users[user_id].codex
|
|
|
|
await interaction.response.send_message(
|
|
"Retrying your original request...", ephemeral=True, delete_after=15
|
|
)
|
|
|
|
await TextService.encapsulated_send(
|
|
self.converser_cog,
|
|
overrides=Override(None, None, None, None),
|
|
id=user_id,
|
|
prompt=prompt,
|
|
instruction=instruction,
|
|
ctx=ctx,
|
|
model=self.model,
|
|
response_message=response_message,
|
|
codex=codex,
|
|
custom_api_key=self.custom_api_key,
|
|
redo_request=True,
|
|
from_ask_command=self.from_ask_command,
|
|
from_edit_command=self.from_edit_command,
|
|
)
|
|
else:
|
|
await interaction.response.send_message(
|
|
"You can only redo the most recent prompt that you sent yourself.",
|
|
ephemeral=True,
|
|
delete_after=10,
|
|
)
|
|
|
|
|
|
#
|
|
# The setup modal when using user input API keys
|
|
#
|
|
|
|
|
|
class SetupModal(discord.ui.Modal):
|
|
def __init__(self, user_key_db) -> None:
|
|
super().__init__(title="API Key Setup")
|
|
# Get the argument named "user_key_db" and save it as USER_KEY_DB
|
|
self.USER_KEY_DB = user_key_db
|
|
|
|
self.add_item(
|
|
discord.ui.InputText(
|
|
label="OpenAI API Key",
|
|
placeholder="sk--......",
|
|
)
|
|
)
|
|
|
|
async def callback(self, interaction: discord.Interaction):
|
|
user = interaction.user
|
|
api_key = self.children[0].value
|
|
# Validate that api_key is indeed in this format
|
|
if not re.match(r"sk-[a-zA-Z0-9]{32}", api_key):
|
|
await interaction.response.send_message(
|
|
"Your API key looks invalid, please check that it is correct before proceeding. Please run the /setup command to set your key.",
|
|
ephemeral=True,
|
|
delete_after=100,
|
|
)
|
|
else:
|
|
# We can save the key for the user to the database.
|
|
|
|
# Make a test request using the api key to ensure that it is valid.
|
|
try:
|
|
await Model.send_test_request(api_key)
|
|
await interaction.response.send_message(
|
|
"Your API key was successfully validated.",
|
|
ephemeral=True,
|
|
delete_after=10,
|
|
)
|
|
|
|
except aiohttp.ClientResponseError as e:
|
|
await interaction.response.send_message(
|
|
embed=EmbedStatics.get_invalid_api_response_embed(e),
|
|
ephemeral=True,
|
|
delete_after=30,
|
|
)
|
|
return
|
|
|
|
except Exception as e:
|
|
await interaction.response.send_message(
|
|
f"Your API key looks invalid, the API returned: {e}. Please check that your API key is correct before proceeding",
|
|
ephemeral=True,
|
|
delete_after=30,
|
|
)
|
|
return
|
|
|
|
# Save the key to the database
|
|
try:
|
|
self.USER_KEY_DB[user.id] = api_key
|
|
self.USER_KEY_DB.commit()
|
|
await interaction.followup.send(
|
|
"Your API key was successfully saved.",
|
|
ephemeral=True,
|
|
delete_after=10,
|
|
)
|
|
except Exception:
|
|
traceback.print_exc()
|
|
await interaction.followup.send(
|
|
"There was an error saving your API key.",
|
|
ephemeral=True,
|
|
delete_after=30,
|
|
)
|
|
return
|