a8151fbe66
Backend Tests: - Add pytest configuration with async support (conftest.py) - Add model tests: User, Conversation, Message, TokenUsage, Session, UserMemory - Add configuration tests: Settings validation and environment variables - Add API tests: Health endpoint and future endpoint stubs - Add database tests: Connection, transactions, query execution Phase 1 Foundation: - FastAPI application structure with main.py - SQLAlchemy async models for all entities - Alembic migrations setup - Configuration management via Pydantic Settings - Logging system (English only) - Docker multi-stage builds for backend - Docker Compose orchestration (PostgreSQL, Redis, backend) - Frontend React + TypeScript structure - Dark & Gold theme CSS implementation - Environment configuration examples All code and comments in English as per requirements. Tests cover model relationships, cascade deletes, and constraints. Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
103 lines
2.8 KiB
Python
103 lines
2.8 KiB
Python
"""
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Alembic environment configuration
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This module is called by Alembic when running migrations.
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It sets up the database connection and model metadata.
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"""
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from logging.config import fileConfig
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from sqlalchemy import pool
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from sqlalchemy.engine import Connection
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from sqlalchemy.ext.asyncio import async_engine_from_config
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from alembic import context
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import asyncio
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# Import the Base and all models
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from app.database import Base
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from app.models import * # noqa - Import all models
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from app.config import settings
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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 with value from settings
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config.set_main_option("sqlalchemy.url", settings.DATABASE_URL)
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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 = Base.metadata
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# other values from the config, defined by the needs of env.py,
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# can be acquired:
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# my_important_option = config.get_main_option("my_important_option")
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# ... etc.
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def run_migrations_offline() -> None:
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"""
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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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)
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with context.begin_transaction():
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context.run_migrations()
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def do_run_migrations(connection: Connection) -> None:
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"""Helper function to run migrations with a connection"""
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context.configure(connection=connection, target_metadata=target_metadata)
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with context.begin_transaction():
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context.run_migrations()
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async def run_async_migrations() -> None:
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"""
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Run migrations in 'online' mode with async engine
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"""
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connectable = async_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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async with connectable.connect() as connection:
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await connection.run_sync(do_run_migrations)
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await connectable.dispose()
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def run_migrations_online() -> None:
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"""
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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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asyncio.run(run_async_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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