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https://github.com/ipnet-mesh/meshcore-hub.git
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3c1625d4c9
This commit establishes the complete foundation for the MeshCore Hub project: - Project setup with pyproject.toml (Python 3.11+, all dependencies) - Development tools: black, flake8, mypy, pytest configuration - Pre-commit hooks for code quality - Package structure with all components (interface, collector, api, web) Common package includes: - Pydantic settings for all component configurations - SQLAlchemy models for nodes, messages, advertisements, traces, telemetry - Pydantic schemas for events, API requests/responses, commands - MQTT client utilities with topic builder - Logging configuration Database infrastructure: - Alembic setup with initial migration for all tables - Database manager with session handling CLI entry point: - Click-based CLI with subcommands for all components - Database migration commands (upgrade, downgrade, revision) Tests: - Basic test suite for config and models - pytest fixtures for in-memory database testing
86 lines
2.3 KiB
Python
86 lines
2.3 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 alembic import context
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from sqlalchemy import engine_from_config, pool
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from meshcore_hub.common.models import Base
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# this is the Alembic Config object
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config = context.config
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# Interpret the config file for Python logging.
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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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# Model's MetaData object for 'autogenerate' support
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target_metadata = Base.metadata
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def get_database_url() -> str:
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"""Get database URL from environment or config."""
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# First try environment variable
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url = os.environ.get("DATABASE_URL")
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if url:
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return url
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# Fall back to alembic.ini
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return config.get_main_option("sqlalchemy.url", "sqlite:///./meshcore.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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render_as_batch=True, # SQLite batch mode for ALTER TABLE
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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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configuration = config.get_section(config.config_ini_section, {})
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configuration["sqlalchemy.url"] = get_database_url()
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connectable = 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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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, # SQLite batch mode for ALTER TABLE
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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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