6ed69a3d48
Major changes: - Organized Python v1 implementation into v1/ subdirectory - Created Rust workspace with 9 modular crates: - wifi-densepose-core: Core types, traits, errors - wifi-densepose-signal: CSI processing, phase sanitization, FFT - wifi-densepose-nn: Neural network inference (ONNX/Candle/tch) - wifi-densepose-api: Axum-based REST/WebSocket API - wifi-densepose-db: SQLx database layer - wifi-densepose-config: Configuration management - wifi-densepose-hardware: Hardware abstraction - wifi-densepose-wasm: WebAssembly bindings - wifi-densepose-cli: Command-line interface Documentation: - ADR-001: Workspace structure - ADR-002: Signal processing library selection - ADR-003: Neural network inference strategy - DDD domain model with bounded contexts Testing: - 69 tests passing across all crates - Signal processing: 45 tests - Neural networks: 21 tests - Core: 3 doc tests Performance targets: - 10x faster CSI processing (~0.5ms vs ~5ms) - 5x lower memory usage (~100MB vs ~500MB) - WASM support for browser deployment
109 lines
3.0 KiB
Python
109 lines
3.0 KiB
Python
"""Alembic environment configuration for WiFi-DensePose API."""
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import asyncio
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import os
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import sys
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from logging.config import fileConfig
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from pathlib import Path
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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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# Add the project root to the Python path
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project_root = Path(__file__).parent.parent.parent.parent
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sys.path.insert(0, str(project_root))
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# Import the models and settings
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from src.database.models import Base
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from src.config.settings import get_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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# 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 get_database_url():
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"""Get the database URL from settings."""
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try:
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settings = get_settings()
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return settings.get_database_url()
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except Exception:
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# Fallback to SQLite if settings can't be loaded
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return "sqlite:///./data/wifi_densepose_fallback.db"
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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 = get_database_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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"""Run migrations with a database 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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"""Run migrations in async mode."""
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configuration = config.get_section(config.config_ini_section)
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configuration["sqlalchemy.url"] = get_database_url()
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connectable = async_engine_from_config(
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configuration,
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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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"""Run migrations in 'online' mode."""
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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() |