Marius Mutu
6b13ffa183
Modern ERP Reports Application with microservices architecture Tech Stack: - Backend: FastAPI + python-oracledb (Oracle DB integration) - Frontend: Vue.js 3 + PrimeVue + Vite - Telegram Bot: python-telegram-bot + SQLite - Infrastructure: Shared database pool, JWT authentication, SSH tunnel Features: - FastAPI backend with async Oracle connection pool - Vue.js 3 responsive frontend with PrimeVue components - Telegram bot alternative interface - Microservices architecture with shared components - Complete deployment support (Linux Docker + Windows IIS) - Comprehensive testing (Playwright E2E + pytest) Repository Structure: - reports-app/ - Main application (backend, frontend, telegram-bot) - shared/ - Shared components (database pool, auth, utils) - deployment/ - Deployment scripts (Linux & Windows) - docs/ - Project documentation - security/ - Security scanning and git hooks
37 lines
1011 B
Python
37 lines
1011 B
Python
from pydantic import BaseModel
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from decimal import Decimal
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from datetime import datetime
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from typing import Optional, List
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class BankCashRegister(BaseModel):
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"""Model pentru Registrul de Casă și Bancă"""
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nume: str
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nract: int
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dataact: datetime
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nume_cont_bancar: str # din vbalanta_parteneri.nume
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incasari: Decimal
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plati: Decimal
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sold: Decimal
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valuta: str
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tip_registru: str # "BANCA LEI", "CASA VALUTA" etc
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explicatia: str
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class RegisterFilter(BaseModel):
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"""Filtre pentru registrul de casă și bancă"""
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company: str
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date_from: Optional[datetime] = None
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date_to: Optional[datetime] = None
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partner_name: Optional[str] = None
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page: int = 1
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page_size: int = 50
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class RegisterListResponse(BaseModel):
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"""Răspuns pentru lista din registru"""
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registers: List[BankCashRegister]
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total_count: int
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filtered_count: int
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total_incasari: Decimal
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total_plati: Decimal
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page: int
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page_size: int
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has_more: bool |