Marius Mutu
c5e051ad80
Consolidate 3 separate applications (reports-app, data-entry-app, telegram-bot) into a unified
architecture with single backend and frontend:
Backend Changes:
- Unified FastAPI backend at backend/ with modular structure
- Modules: reports, data_entry, telegram in backend/modules/
- Centralized config.py and main.py with all routers registered
- Single worker mode (--workers 1) for Telegram bot compatibility
- Shared Oracle connection pool and JWT authentication
- Unified requirements.txt and environment configuration
Frontend Changes:
- Single Vue.js SPA with module-based routing
- Unified frontend at src/ with modules in src/modules/{reports,data-entry}/
- Shared components and stores in src/shared/
- Error boundaries for module isolation
- Dual API proxy in Vite for module communication
Infrastructure:
- New unified startup scripts: start-prod.sh, start-test.sh, start-backend.sh
- Environment templates: .env.dev.example, .env.test.example, .env.prod.example
- Updated deployment scripts for Windows IIS
- Simplified SSH tunnel management
Documentation:
- Comprehensive CLAUDE.md with architecture overview
- Module-specific docs in docs/{data-entry,telegram}/
- Architecture decision records in docs/ARCHITECTURE-DECISIONS.md
- Deployment guides consolidated in deployment/windows/docs/
This migration reduces complexity, improves maintainability, and enables easier
deployment while maintaining all existing functionality.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
90 lines
2.7 KiB
Python
90 lines
2.7 KiB
Python
"""Alembic environment configuration."""
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import os
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from logging.config import fileConfig
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from dotenv import load_dotenv
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from sqlalchemy import engine_from_config
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from sqlalchemy import pool
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from alembic import context
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from sqlmodel import SQLModel
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# Load environment variables from .env file
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load_dotenv()
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# Import all models to ensure they're registered with SQLModel
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from backend.modules.data_entry.db.models.receipt import Receipt, ReceiptAttachment
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from backend.modules.data_entry.db.models.accounting_entry import AccountingEntry
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from backend.modules.data_entry.db.models.nomenclature import SyncedSupplier, LocalSupplier, SyncedCashRegister
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# this is the Alembic Config object, which provides
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# access to the values within the .ini file in use.
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config = context.config
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# Override sqlalchemy.url from environment variable if set
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db_path = os.getenv("SQLITE_DATABASE_PATH", "data/receipts/receipts.db")
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config.set_main_option("sqlalchemy.url", f"sqlite:///{db_path}")
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# Interpret the config file for Python logging.
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# This line sets up loggers basically.
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if config.config_file_name is not None:
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fileConfig(config.config_file_name)
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# add your model's MetaData object here
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# for 'autogenerate' support
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target_metadata = SQLModel.metadata
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def run_migrations_offline() -> None:
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"""Run migrations in 'offline' mode.
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This configures the context with just a URL
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and not an Engine, though an Engine is acceptable
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here as well. By skipping the Engine creation
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we don't even need a DBAPI to be available.
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Calls to context.execute() here emit the given string to the
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script output.
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"""
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url = config.get_main_option("sqlalchemy.url")
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context.configure(
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url=url,
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target_metadata=target_metadata,
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literal_binds=True,
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dialect_opts={"paramstyle": "named"},
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render_as_batch=True, # Required for SQLite ALTER TABLE support
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)
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with context.begin_transaction():
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context.run_migrations()
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def run_migrations_online() -> None:
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"""Run migrations in 'online' mode.
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In this scenario we need to create an Engine
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and associate a connection with the context.
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"""
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connectable = engine_from_config(
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config.get_section(config.config_ini_section, {}),
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prefix="sqlalchemy.",
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poolclass=pool.NullPool,
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)
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with connectable.connect() as connection:
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context.configure(
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connection=connection,
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target_metadata=target_metadata,
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render_as_batch=True, # Required for SQLite ALTER TABLE support
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)
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with context.begin_transaction():
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context.run_migrations()
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if context.is_offline_mode():
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run_migrations_offline()
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else:
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run_migrations_online()
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