gpt-academicc / 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)