90 lines
3.3 KiB
Python
90 lines
3.3 KiB
Python
from decimal import Decimal
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import re
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from PIL import Image as PILImage
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import io
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import asyncio
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from langchain.callbacks import get_openai_callback
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from core.builtins import Bot, Plain, Image
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from core.component import module
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from core.dirty_check import check_bool
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from core.exceptions import NoReportException
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from .agent import agent_executor
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from .formatting import generate_latex, generate_code_snippet
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ONE_K = Decimal('1000')
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# https://openai.com/pricing
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BASE_COST_GPT_3_5 = Decimal('0.002') # gpt-3.5-turbo： $0.002 / 1K tokens
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THIRD_PARTY_MULTIPLIER = Decimal('1.5') # We are not tracking specific tool usage like searches b/c I'm too lazy, use a universal multiplier
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PROFIT_MULTIPLIER = Decimal('1.1') # At the time we are really just trying to break even
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PRICE_PER_1K_TOKEN = BASE_COST_GPT_3_5 * THIRD_PARTY_MULTIPLIER * PROFIT_MULTIPLIER
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# Assuming 1 USD = 7 CNY, 100 petal = 1 CNY
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USD_TO_CNY = 7
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CNY_TO_PETAL = 100
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a = module('ask', developers=['Dianliang233'], desc='{ask.help.desc}', required_superuser=True)
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@a.command('<question> {{ask.help}}')
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@a.regex(r'^(?:ask|问)[\:：]? ?(.+?)[?？]$')
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async def _(msg: Bot.MessageSession):
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is_superuser =msg.checkSuperUser()
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if not is_superuser and msg.data.petal < 100: # refuse
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raise NoReportException(msg.locale.t('petal_'))
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if hasattr(msg, 'parsed_msg'):
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question = msg.parsed_msg['<question>']
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else:
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question = msg.matched_msg[0]
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if await check_bool(question):
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raise NoReportException('https://wdf.ink/6OUp')
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with get_openai_callback() as cb:
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res = await agent_executor.arun(question)
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tokens = cb.total_tokens
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# TODO: REMEMBER TO UNCOMMENT THIS BEFORE LAUNCH!!!!
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# if not is_superuser:
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# price = tokens / ONE_K * PRICE_PER_1K_TOKEN
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# petal = price * USD_TO_CNY * CNY_TO_PETAL
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# await msg.data.modify_petal(-petal)
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price = tokens / ONE_K * PRICE_PER_1K_TOKEN
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petal = price * USD_TO_CNY * CNY_TO_PETAL
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msg.data.modify_petal(-int(petal))
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blocks = parse_markdown(res)
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chain = []
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for block in blocks:
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if block['type'] == 'text':
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chain.append(Plain(block['content']))
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elif block['type'] == 'latex':
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chain.append(Image(PILImage.open(io.BytesIO(await generate_latex(block['content'])))))
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elif block['type'] == 'code':
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chain.append(Image(PILImage.open(io.BytesIO(await generate_code_snippet(block['content']['code'], block['content']['language'])))))
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if await check_bool(res):
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raise NoReportException('https://wdf.ink/6OUp')
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await msg.finish(chain)
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def parse_markdown(md: str):
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regex = r'(```[\s\S]*?\n```|\$\$[\s\S]*?\$\$|[^\n]+)(?:\n|$)'
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blocks = []
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for match in re.finditer(regex, md):
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content = match.group(1)
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print(content)
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if content.startswith('```'):
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block = 'code'
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try:
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language, code = re.match(r'```(.*)\n([\s\S]*?)\n```', content).groups()
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except AttributeError:
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raise ValueError('Code block is missing language or code')
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content = {'language': language, 'code': code}
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elif content.startswith('$$'):
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block = 'latex'
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content = content[2:-2].strip()
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else:
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block = 'text'
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blocks.append({'type': block, 'content': content})
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return blocks
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