gpt-academic / tests /test_utils.py
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from toolbox import get_conf
from toolbox import set_conf
from toolbox import set_multi_conf
from toolbox import get_plugin_handle
from toolbox import get_plugin_default_kwargs
from toolbox import get_chat_handle
from toolbox import get_chat_default_kwargs
from functools import wraps
import sys
import os
def chat_to_markdown_str(chat):
result = ""
for i, cc in enumerate(chat):
result += f'\n\n{cc[0]}\n\n{cc[1]}'
if i != len(chat)-1:
result += '\n\n---'
return result
def silence_stdout(func):
@wraps(func)
def wrapper(*args, **kwargs):
_original_stdout = sys.stdout
sys.stdout = open(os.devnull, 'w')
sys.stdout.reconfigure(encoding='utf-8')
for q in func(*args, **kwargs):
sys.stdout = _original_stdout
yield q
sys.stdout = open(os.devnull, 'w')
sys.stdout.reconfigure(encoding='utf-8')
sys.stdout.close()
sys.stdout = _original_stdout
return wrapper
def silence_stdout_fn(func):
@wraps(func)
def wrapper(*args, **kwargs):
_original_stdout = sys.stdout
sys.stdout = open(os.devnull, 'w')
sys.stdout.reconfigure(encoding='utf-8')
result = func(*args, **kwargs)
sys.stdout.close()
sys.stdout = _original_stdout
return result
return wrapper
class VoidTerminal():
def __init__(self) -> None:
pass
vt = VoidTerminal()
vt.get_conf = silence_stdout_fn(get_conf)
vt.set_conf = silence_stdout_fn(set_conf)
vt.set_multi_conf = silence_stdout_fn(set_multi_conf)
vt.get_plugin_handle = silence_stdout_fn(get_plugin_handle)
vt.get_plugin_default_kwargs = silence_stdout_fn(get_plugin_default_kwargs)
vt.get_chat_handle = silence_stdout_fn(get_chat_handle)
vt.get_chat_default_kwargs = silence_stdout_fn(get_chat_default_kwargs)
vt.chat_to_markdown_str = (chat_to_markdown_str)
proxies, WEB_PORT, LLM_MODEL, CONCURRENT_COUNT, AUTHENTICATION, CHATBOT_HEIGHT, LAYOUT, API_KEY = \
vt.get_conf('proxies', 'WEB_PORT', 'LLM_MODEL', 'CONCURRENT_COUNT', 'AUTHENTICATION', 'CHATBOT_HEIGHT', 'LAYOUT', 'API_KEY')
def plugin_test(main_input, plugin, advanced_arg=None, debug=True):
from rich.live import Live
from rich.markdown import Markdown
vt.set_conf(key="API_KEY", value=API_KEY)
vt.set_conf(key="LLM_MODEL", value=LLM_MODEL)
plugin = vt.get_plugin_handle(plugin)
plugin_kwargs = vt.get_plugin_default_kwargs()
plugin_kwargs['main_input'] = main_input
if advanced_arg is not None:
plugin_kwargs['plugin_kwargs'] = advanced_arg
if debug:
my_working_plugin = (plugin)(**plugin_kwargs)
else:
my_working_plugin = silence_stdout(plugin)(**plugin_kwargs)
with Live(Markdown(""), auto_refresh=False, vertical_overflow="visible") as live:
for cookies, chat, hist, msg in my_working_plugin:
md_str = vt.chat_to_markdown_str(chat)
md = Markdown(md_str)
live.update(md, refresh=True)