nostrdvm/tests/chat_bot.py
2025-01-08 21:42:31 +01:00

100 lines
3.2 KiB
Python

import asyncio
import json
import os
import threading
from pathlib import Path
import dotenv
from duck_chat import ModelType
from nostr_sdk import Keys, Kind
from nostr_dvm.bot import Bot
from nostr_dvm.framework import DVMFramework
from nostr_dvm.tasks.generic_dvm import GenericDVM
from nostr_dvm.utils.admin_utils import AdminConfig
from nostr_dvm.utils.dvmconfig import DVMConfig, build_default_config
from nostr_dvm.utils.nip89_utils import NIP89Config, check_and_set_d_tag
def playground(announce = False):
framework = DVMFramework()
identifier = "bot_test"
bot_config = build_default_config(identifier)
bot_config.CHATBOT = False
bot_config.DVM_KEY = "aa8ab5b774d47e7b29a985dd739cfdcccf93451678bf7977ba1b2e094ecd8b30"
admin_config = AdminConfig()
admin_config.REBROADCAST_NIP65_RELAY_LIST = False
admin_config.UPDATE_PROFILE = False
bot_config.RELAY_LIST = ["wss://relay.primal.net", "wss://relay.nostrdvm.com", "wss://nostr.oxtr.dev"]
x = threading.Thread(target=Bot, args=([bot_config, admin_config]))
x.start()
kind = 5050
admin_config = AdminConfig()
admin_config.REBROADCAST_NIP89 = announce
admin_config.REBROADCAST_NIP65_RELAY_LIST = announce
admin_config.UPDATE_PROFILE = announce
name = "DuckChat"
identifier = "duckduckchat" # Chose a unique identifier in order to get a lnaddress
dvm_config = build_default_config(identifier)
dvm_config.KIND = Kind(kind) # Manually set the Kind Number (see data-vending-machines.org)
dvm_config.SEND_FEEDBACK_EVENTS = False
# Add NIP89
nip89info = {
"name": name,
"picture": "https://image.nostr.build/28da676a19841dcfa7dcf7124be6816842d14b84f6046462d2a3f1268fe58d03.png",
"about": "I'm briding DuckDuckAI'",
"supportsEncryption": True,
"acceptsNutZaps": dvm_config.ENABLE_NUTZAP,
"nip90Params": {
}
}
nip89config = NIP89Config()
nip89config.KIND = Kind(kind)
nip89config.DTAG = check_and_set_d_tag(identifier, name, dvm_config.PRIVATE_KEY, nip89info["picture"])
nip89config.CONTENT = json.dumps(nip89info)
options = {
"input": "",
}
dvm = GenericDVM(name=name, dvm_config=dvm_config, nip89config=nip89config,
admin_config=admin_config, options=options)
async def process(request_form):
# pip install -U https://github.com/mrgick/duckduckgo-chat-ai/archive/master.zip
from duck_chat import DuckChat
options = dvm.set_options(request_form)
async with DuckChat(model=ModelType.GPT4o) as chat:
query = options["input"]
result = await chat.ask_question(query)
print(result)
return result
dvm.process = process # overwrite the process function with the above one
framework.add(dvm)
#framework.run()
if __name__ == '__main__':
env_path = Path('.env')
if not env_path.is_file():
with open('.env', 'w') as f:
print("Writing new .env file")
f.write('')
if env_path.is_file():
print(f'loading environment from {env_path.resolve()}')
dotenv.load_dotenv(env_path, verbose=True, override=True)
else:
raise FileNotFoundError(f'.env file not found at {env_path} ')
playground(False)