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feat: Implement LLM and scheduler functionalities

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This commit finalizes Phase 4 of the project by implementing the
LLM and scheduler integrations.

- Implements `get_smart_response` in `app/llm.py` to generate
  AI-powered responses using the OpenAI API.
- Implements a daily summary scheduler in `app/scheduler.py` using
  the `JobQueue` from `python-telegram-bot` for better integration
  with the application's event loop.
- Adds `get_events_for_day` to `app/calendar.py` to fetch daily
  events for the summary.
- Integrates the scheduler into the main application loop in
  `app/main.py`.
- Improves the date formatting in the daily summary for better
  readability.
- Updates `tasks.md` to reflect the completion of Phase 4.
This commit is contained in:
google-labs-jules[bot]
2025-12-15 23:25:52 +00:00
parent 2a8f8dd537
commit 99faa1eecb
5 changed files with 89 additions and 24 deletions
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tasks.md
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@@ -30,8 +30,8 @@ This file tracks the development tasks for the Talía project.
## Phase 4: Integrations
- [x] Implement `calendar.py` for Google Calendar integration.
- [ ] Implement `llm.py` for AI-powered responses.
- [ ] Implement `scheduler.py` for daily summaries.
- [x] Implement `llm.py` for AI-powered responses.
- [x] Implement `scheduler.py` for daily summaries.
## Log