So, Im coding a telegram bot using aiogram. His job is to get the news from parser through function trans_news then process it through ChatGPT and then send the processed news to admins pm. Then admin can - delete, edit or post it. If button "post" pressed the bot will send the message to a channel.
THE PROBLEM IS:
Whenever a bot gets news its fine, but when more is being sent without admin doing something to the first one, its being overwritten by a new one. I need something like a queue, so they wont overwrite each other.
dp = Dispatcher(bot, storage=storage)
msg = types.Message
data = {}
class AdmState(StatesGroup):
redacting = State()
afk = State()
@dp.message_handler(commands=['start'], state="*")
async def on_start(msg: msg):
if str(msg.from_user.id) == admin_id:
await bot.send_message(admin_id, 'Вы авторизованы как админ, добро пожаловать!')
dicto = {
"topic":"PA approves new bridge and junction at Manoel Island",
"body":"""The Planning Authority board has approved the construction of a new bridge linking
the Gzira promenade to Manoel Island, as well as a new junction consisting of a roundabout.
The project consists of the construction of a vehicular and pedestrian bridge and the formation
of a new roundabout on Triq ix-Xatt and Triq William Reid, replacing the current junction,
which links Gzira with Manoel Island. The works include the construction of a gateway piazza
and quayside and the construction.""",
"pic":"https://cdn-attachments.timesofmalta.com/01a8df8397080c89230fe933c4fa8e95c2d64c20-1691060877-27a82c39-630x420.jpg"
}
await trans_news(dicto)
else:
await bot.send_message(msg.from_user.id, 'Ваш ID не распознан как системный.')
async def trans_news(dicto: dict):
instruction = 'Paraphrase the news while maintaining its meaning. You cant make a response that is longer than 900 symbols. its illegal!!!'
body_prompt = f"{instruction}.\n{dicto[f'body']}"
topic_prompt = f"{instruction}.\n{dicto[f'topic']}"
response_topic = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=[{"role": "system", "content": topic_prompt}],
max_tokens=500,
temperature=0.8,
top_p=1,
frequency_penalty=0,
presence_penalty=0
)
response_text_topic = response_topic.choices[0].message['content'].strip()
response_body = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=[{"role": "system", "content": body_prompt}],
max_tokens=3000,
temperature=0.8,
top_p=1,
frequency_penalty=0,
presence_penalty=0
)
response_text_body = response_body.choices[0].message['content'].strip()
await check_news(response_text_body, response_text_topic, dicto[f"pic_{id}"])
async def check_news(resp_body, resp_top, pic):
msg_id = await bot.send_photo(admin_id, pic, f"<b>{resp_top}</b>\n\n{resp_body}", reply_markup=nav.admMenu, parse_mode=ParseMode.HTML)
global data
data = {"topic": resp_top, "body": resp_body, "pic": pic, "msg_id":msg_id["message_id"]}
@dp.callback_query_handler(text='btnYPRSD', state=AdmState.on_news)
async def post_news(msg):
global data
await bot.delete_message(admin_id, message_id=data["msg_id"])
await bot.send_photo(channel_id, data["pic"], f"{data['topic']}\n\n{data['body']}")
data = []
print("posting")
await AdmState.afk.set()
@dp.callback_query_handler(text='btnDeletePRSD', state=AdmState.on_news)
async def del_new(msg):
global data
await bot.delete_message(admin_id, data['msg_id'])
data = []
await AdmState.afk.set()
@dp.callback_query_handler(text='btnRedactPRSD', state=AdmState.on_news)
async def red_news(msg):
global data
msg_id = await bot.send_message(admin_id, 'Отправьте измененный текст сообщения.')
await AdmState.redacting.set()
@dp.message_handler(state=AdmState.redacting)
async def red_txt(msg):
global data
data["body"] = msg['text']
await AdmState.afk.set()
await check_news(data["body"], data["topic"], data["pic"])
if __name__ == '__main__':
executor.start_polling(dp, skip_updates=True)
For testing the news is written to dicto.
I tried using dictionaries with random id's, but it seems like i dont have enough iq to make it work as intendet.
