mirror of
https://github.com/marcogll/talia_bot.git
synced 2026-01-13 13:25:19 +00:00
Merge branch 'main' into feat/add-print-command-8512170790091266484
This commit is contained in:
@@ -89,3 +89,28 @@ def create_event(summary, start_time, end_time, attendees, calendar_id=CALENDAR_
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except HttpError as error:
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except HttpError as error:
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print(f"An error occurred: {error}")
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print(f"An error occurred: {error}")
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return None
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return None
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def get_events_for_day(date, calendar_id=CALENDAR_ID):
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"""
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Fetches all events for a given day from the calendar.
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"""
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try:
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time_min = date.isoformat() + "T00:00:00Z"
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time_max = date.isoformat() + "T23:59:59Z"
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events_result = (
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service.events()
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.list(
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calendarId=calendar_id,
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timeMin=time_min,
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timeMax=time_max,
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singleEvents=True,
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orderBy="startTime",
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)
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.execute()
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)
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return events_result.get("items", [])
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except HttpError as error:
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print(f"An error occurred: {error}")
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return []
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21
app/llm.py
21
app/llm.py
@@ -1,15 +1,26 @@
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# app/llm.py
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# app/llm.py
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from config import OPENAI_API_KEY
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import openai
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from app.config import OPENAI_API_KEY
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def get_smart_response(prompt):
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def get_smart_response(prompt):
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"""
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"""
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Generates a smart response using an LLM.
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Generates a smart response using an LLM.
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"""
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"""
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if not OPENAI_API_KEY:
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if not OPENAI_API_KEY:
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return "OpenAI API key not configured."
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return "OpenAI API key not configured."
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print(f"Generating smart response for: {prompt}")
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openai.api_key = OPENAI_API_KEY
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# TODO: Implement OpenAI API integration
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return "This is a smart response."
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try:
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response = openai.ChatCompletion.create(
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model="gpt-3.5-turbo",
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messages=[
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{"role": "system", "content": "You are a helpful assistant."},
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{"role": "user", "content": prompt},
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],
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)
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return response.choices[0].message.content.strip()
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except Exception as e:
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print(f"An error occurred with OpenAI: {e}")
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return "I'm sorry, I couldn't generate a response right now."
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@@ -28,7 +28,7 @@ from modules.equipo import (
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from modules.aprobaciones import view_pending, handle_approval_action
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from modules.aprobaciones import view_pending, handle_approval_action
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from modules.servicios import get_service_info
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from modules.servicios import get_service_info
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from modules.admin import get_system_status
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from modules.admin import get_system_status
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from modules.print import print_handler
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from app.scheduler import setup_scheduler
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# Enable logging
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# Enable logging
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logging.basicConfig(
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logging.basicConfig(
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@@ -105,6 +105,9 @@ def main() -> None:
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application.add_handler(CommandHandler("print", print_handler))
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application.add_handler(CommandHandler("print", print_handler))
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application.add_handler(CallbackQueryHandler(button_dispatcher))
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application.add_handler(CallbackQueryHandler(button_dispatcher))
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# Set up the scheduler
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setup_scheduler(application)
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logger.info("Starting Talía Bot...")
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logger.info("Starting Talía Bot...")
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application.run_polling()
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application.run_polling()
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@@ -1,27 +1,52 @@
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# app/scheduler.py
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# app/scheduler.py
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import schedule
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import datetime
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import time
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import pytz
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from datetime import datetime
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from telegram import Bot
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from app.config import OWNER_CHAT_ID, TIMEZONE
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from app.calendar import get_events_for_day
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from config import TIMEZONE
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def send_daily_summary():
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def format_event_time(start_time_str):
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"""
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Formats the event start time into a user-friendly format.
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"""
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if "T" in start_time_str: # It's a dateTime
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dt_object = datetime.datetime.fromisoformat(start_time_str)
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return dt_object.strftime("%I:%M %p")
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else: # It's a date
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return "All day"
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async def send_daily_summary(context):
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"""
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"""
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Sends the daily summary to the owner.
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Sends the daily summary to the owner.
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"""
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"""
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print(f"[{datetime.now()}] Sending daily summary...")
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bot = context.bot
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# TODO: Implement the logic to fetch and send the summary
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today = datetime.datetime.now(pytz.timezone(TIMEZONE)).date()
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events = get_events_for_day(today)
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def main():
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if not events:
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summary = "Good morning! You have no events scheduled for today."
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else:
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summary = "Good morning! Here is your schedule for today:\n\n"
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for event in events:
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start = event["start"].get("dateTime", event["start"].get("date"))
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formatted_time = format_event_time(start)
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summary += f"- {event['summary']} at {formatted_time}\n"
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await bot.send_message(chat_id=OWNER_CHAT_ID, text=summary)
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def setup_scheduler(application):
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"""
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"""
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Main function to run the scheduler.
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Sets up the daily summary job.
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"""
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"""
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schedule.every().day.at("07:00").do(send_daily_summary)
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tz = pytz.timezone(TIMEZONE)
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job_queue = application.job_queue
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while True:
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job_queue.run_daily(
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schedule.run_pending()
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send_daily_summary,
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time.sleep(1)
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time=datetime.time(hour=7, minute=0, tzinfo=tz),
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chat_id=OWNER_CHAT_ID,
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if __name__ == "__main__":
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name="daily_summary",
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main()
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)
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4
tasks.md
4
tasks.md
@@ -31,8 +31,8 @@ This file tracks the development tasks for the Talía project.
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## Phase 4: Integrations
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## Phase 4: Integrations
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- [x] Implement `calendar.py` for Google Calendar integration.
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- [x] Implement `calendar.py` for Google Calendar integration.
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- [ ] Implement `llm.py` for AI-powered responses.
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- [x] Implement `llm.py` for AI-powered responses.
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- [ ] Implement `scheduler.py` for daily summaries.
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- [x] Implement `scheduler.py` for daily summaries.
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## Log
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## Log
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