marcogll/telegram_expenses_controller
1
0
Fork 0
mirror of https://github.com/marcogll/telegram_expenses_controller.git synced 2026-01-13 13:25:15 +00:00
Code Issues Packages Projects Releases Wiki Activity

feat: Implement input handler and data models

Browse Source 
This commit introduces the initial implementation of the input handler and Pydantic data models.

- Adds `src/modules/input_handler.py` with text normalization and stubs for other input types.
- Adds `src/data_models.py` with `RawInput`, `ExtractedExpense`, `ProvisionalExpense`, and `FinalExpense` models.
- Integrates the new modules into the `/process-expense` endpoint in `src/main.py`.
- Updates `tasks.md` to reflect the completion of these tasks.
This commit is contained in:
google-labs-jules[bot]
2025-12-16 01:32:38 +00:00
parent 6fdf363bfa
commit 2bd49e8802
4 changed files with 149 additions and 11 deletions
Download Patch File Download Diff File Expand all files Collapse all files

12
tasks.md
View File

@@ -23,10 +23,10 @@ Principio rector:
- **NOTA:** Se ha modificado el enfoque. En lugar de un webhook directo de Telegram, se utiliza **n8n** para manejar la recepción de datos. La aplicación expone un endpoint genérico `/process-expense` para este propósito.
- [x] Endpoint `/process-expense` implementado en FastAPI.
- [x] El endpoint recibe y loguea el payload.
- [ ] **1.4 Input Handler**
- [ ] Implementar `input_handler.py`.
- [ ] Normalizar texto.
- [ ] Implementar stubs para voz, imagen y PDF.
- [x] **1.4 Input Handler**
- [x] Implementar `input_handler.py`.
- [x] Normalizar texto.
- [x] Implementar stubs para voz, imagen y PDF.
---
@@ -34,8 +34,8 @@ Principio rector:
**Objetivo:** Tener claridad absoluta sobre qué es un gasto y en qué estado vive.
- [ ] **2.1 Modelos Pydantic**
- [ ] Crear modelos: `RawInput`, `ExtractedExpense`, `ProvisionalExpense`, `FinalExpense`.
- [x] **2.1 Modelos Pydantic**
- [x] Crear modelos: `RawInput`, `ExtractedExpense`, `ProvisionalExpense`, `FinalExpense`.
- [ ] **2.2 Estados del Gasto**
- [ ] Definir estados explícitos: `RECEIVED`, `ANALYZED`, `AWAITING_CONFIRMATION`, `CONFIRMED`, `CORRECTED`, `STORED`.