Implements production-ready MSP platform with cross-machine persistent memory for Claude. API Implementation: - 130 REST API endpoints across 21 entities - JWT authentication on all endpoints - AES-256-GCM encryption for credentials - Automatic audit logging - Complete OpenAPI documentation Database: - 43 tables in MariaDB (172.16.3.20:3306) - 42 SQLAlchemy models with modern 2.0 syntax - Full Alembic migration system - 99.1% CRUD test pass rate Context Recall System (Phase 6): - Cross-machine persistent memory via database - Automatic context injection via Claude Code hooks - Automatic context saving after task completion - 90-95% token reduction with compression utilities - Relevance scoring with time decay - Tag-based semantic search - One-command setup script Security Features: - JWT tokens with Argon2 password hashing - AES-256-GCM encryption for all sensitive data - Comprehensive audit trail for credentials - HMAC tamper detection - Secure configuration management Test Results: - Phase 3: 38/38 CRUD tests passing (100%) - Phase 4: 34/35 core API tests passing (97.1%) - Phase 5: 62/62 extended API tests passing (100%) - Phase 6: 10/10 compression tests passing (100%) - Overall: 144/145 tests passing (99.3%) Documentation: - Comprehensive architecture guides - Setup automation scripts - API documentation at /api/docs - Complete test reports - Troubleshooting guides Project Status: 95% Complete (Production-Ready) Phase 7 (optional work context APIs) remains for future enhancement. Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
139 lines
3.8 KiB
Python
139 lines
3.8 KiB
Python
"""
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Database connection and session management for ClaudeTools.
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This module provides the database engine configuration, session management,
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and FastAPI dependency functions for database access throughout the application.
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"""
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from typing import Generator
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from sqlalchemy import create_engine, event, text
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from sqlalchemy.engine import Engine
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from sqlalchemy.exc import SQLAlchemyError
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from sqlalchemy.orm import Session, sessionmaker
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from sqlalchemy.pool import Pool
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from api.config import get_settings
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# Load settings from environment
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settings = get_settings()
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# Create database engine with connection pooling
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engine = create_engine(
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settings.DATABASE_URL,
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pool_size=settings.DATABASE_POOL_SIZE,
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max_overflow=settings.DATABASE_MAX_OVERFLOW,
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pool_pre_ping=True,
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echo=False,
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pool_recycle=3600,
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connect_args={
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"connect_timeout": 10,
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},
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)
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@event.listens_for(Pool, "connect")
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def set_mysql_pragma(dbapi_connection, connection_record) -> None:
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"""
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Set MySQL/MariaDB session variables on new connections.
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This event listener ensures consistent behavior across all database
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connections by setting session-level variables when connections are
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established from the pool.
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Args:
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dbapi_connection: The raw database connection
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connection_record: SQLAlchemy's connection record
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"""
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cursor = dbapi_connection.cursor()
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cursor.execute("SET SESSION sql_mode='STRICT_TRANS_TABLES,NO_ZERO_DATE'")
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cursor.execute("SET SESSION time_zone='+00:00'")
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cursor.close()
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# Session factory for creating database sessions
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SessionLocal = sessionmaker(
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autocommit=False,
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autoflush=False,
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bind=engine,
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expire_on_commit=False,
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)
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def get_db() -> Generator[Session, None, None]:
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"""
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FastAPI dependency that provides a database session.
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This function creates a new database session for each request and ensures
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proper cleanup after the request is complete. It handles both successful
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requests and exceptions, guaranteeing that sessions are always closed.
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Yields:
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Session: A SQLAlchemy database session
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Example:
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```python
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@app.get("/users")
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def get_users(db: Session = Depends(get_db)):
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return db.query(User).all()
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```
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Raises:
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SQLAlchemyError: Propagates any database errors after cleanup
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"""
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db = SessionLocal()
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try:
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yield db
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except SQLAlchemyError:
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db.rollback()
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raise
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finally:
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db.close()
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def init_db() -> None:
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"""
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Initialize the database by creating all tables.
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This function should be called during application startup to ensure
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all database tables exist. It uses the Base metadata to create tables
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that don't already exist.
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Note:
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This function uses create_all() which is safe for existing tables
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(it won't recreate them). For production migrations, use Alembic.
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Raises:
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SQLAlchemyError: If there's an error creating database tables
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"""
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from api.models.base import Base
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try:
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Base.metadata.create_all(bind=engine)
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except SQLAlchemyError as e:
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raise SQLAlchemyError(f"Failed to initialize database: {str(e)}") from e
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def check_db_connection() -> bool:
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"""
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Check if the database connection is working.
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This function attempts to execute a simple query to verify that
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the database is accessible and responding to queries.
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Returns:
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bool: True if connection is successful, False otherwise
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Example:
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```python
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if not check_db_connection():
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logger.error("Database is not accessible")
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```
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"""
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try:
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with engine.connect() as connection:
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connection.execute(text("SELECT 1"))
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return True
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except SQLAlchemyError:
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return False
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