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talia_bot/tasks.md
google-labs-jules[bot] 99faa1eecb feat: Implement LLM and scheduler functionalities
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.
2025-12-15 23:25:52 +00:00

1.6 KiB

Talía Development Tasks

This file tracks the development tasks for the Talía project.

Phase 1: Project Scaffolding

  • Create tasks.md to track project development.
  • Create the basic directory structure (app, app/modules).
  • Create placeholder files in the root directory (docker-compose.yml, Dockerfile, .env.example).
  • Create placeholder files in the app directory.
  • Create placeholder files in the app/modules directory.

Phase 2: Core Logic Implementation

  • Implement main.py as the central orchestrator.
  • Implement config.py to handle environment variables.
  • Implement permissions.py for role-based access control.
  • Implement webhook_client.py for n8n communication.

Phase 3: Module Implementation

  • Implement onboarding.py module.
  • Implement agenda.py module.
  • Implement citas.py module.
  • Implement equipo.py module.
  • Implement aprobaciones.py module.
  • Implement servicios.py module.
  • Implement admin.py module.

Phase 4: Integrations

  • Implement calendar.py for Google Calendar integration.
  • Implement llm.py for AI-powered responses.
  • Implement scheduler.py for daily summaries.

Log

2024-05-22

  • Created tasks.md to begin tracking development.
  • Completed initial project scaffolding.
  • Implemented the core logic for the bot, including the central orchestrator, permissions, and onboarding.
  • Implemented the agenda and citas modules.
  • Implemented the conversational flow for proposing and approving activities.
  • Completed Phase 3 by implementing all modules and refactoring the main dispatcher.