Files
claudetools/api/models/database_change.py
Mike Swanson 390b10b32c Complete Phase 6: MSP Work Tracking with Context Recall System
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>
2026-01-17 06:00:26 -07:00

153 lines
4.8 KiB
Python

"""
Database change model for tracking database schema and data modifications.
Tracks database changes including schema modifications, data updates, index
creation, optimizations, and cleanup operations with backup tracking.
"""
from datetime import datetime
from typing import TYPE_CHECKING, Optional
from sqlalchemy import BigInteger, Boolean, CHAR, CheckConstraint, ForeignKey, Index, String, Text, TIMESTAMP
from sqlalchemy.orm import Mapped, mapped_column, relationship
from sqlalchemy.sql import func
from .base import Base, UUIDMixin
if TYPE_CHECKING:
from .infrastructure import Infrastructure
from .session import Session
from .work_item import WorkItem
class DatabaseChange(Base, UUIDMixin):
"""
Database change model for tracking database modifications.
Records all database schema and data changes including DDL operations,
data modifications, index management, optimizations, and cleanup tasks.
Tracks affected rows, backup status, and freed space for audit and
rollback purposes.
Attributes:
work_item_id: Foreign key to work_items table (required)
session_id: Foreign key to sessions table (required)
database_name: Name of the database that was modified
infrastructure_id: Foreign key to infrastructure table
change_type: Type of database change
sql_executed: SQL statements that were executed
rows_affected: Number of rows affected by the change
size_freed_bytes: Bytes freed by cleanup operations
backup_taken: Whether a backup was taken before the change
backup_location: Path or identifier of the backup
created_at: When the change was made
work_item: Relationship to WorkItem model
session: Relationship to Session model
infrastructure: Relationship to Infrastructure model
"""
__tablename__ = "database_changes"
# Foreign keys
work_item_id: Mapped[str] = mapped_column(
CHAR(36),
ForeignKey("work_items.id", ondelete="CASCADE"),
nullable=False,
doc="Foreign key to work_items table (required)"
)
session_id: Mapped[str] = mapped_column(
CHAR(36),
ForeignKey("sessions.id", ondelete="CASCADE"),
nullable=False,
doc="Foreign key to sessions table (required)"
)
database_name: Mapped[str] = mapped_column(
String(255),
nullable=False,
doc="Name of the database that was modified"
)
infrastructure_id: Mapped[Optional[str]] = mapped_column(
CHAR(36),
ForeignKey("infrastructure.id", ondelete="SET NULL"),
doc="Foreign key to infrastructure table"
)
# Change details
change_type: Mapped[Optional[str]] = mapped_column(
String(50),
doc="Type of change: schema, data, index, optimization, cleanup, migration"
)
sql_executed: Mapped[Optional[str]] = mapped_column(
Text,
doc="SQL statements that were executed"
)
rows_affected: Mapped[Optional[int]] = mapped_column(
BigInteger,
doc="Number of rows affected by the change"
)
size_freed_bytes: Mapped[Optional[int]] = mapped_column(
BigInteger,
doc="Bytes freed by cleanup operations"
)
# Backup tracking
backup_taken: Mapped[bool] = mapped_column(
Boolean,
default=False,
server_default="0",
nullable=False,
doc="Whether a backup was taken before the change"
)
backup_location: Mapped[Optional[str]] = mapped_column(
String(500),
doc="Path or identifier of the backup"
)
# Timestamp
created_at: Mapped[datetime] = mapped_column(
TIMESTAMP,
nullable=False,
server_default=func.now(),
doc="When the change was made"
)
# Relationships
work_item: Mapped["WorkItem"] = relationship(
"WorkItem",
back_populates="database_changes",
doc="Relationship to WorkItem model"
)
session: Mapped["Session"] = relationship(
"Session",
back_populates="database_changes",
doc="Relationship to Session model"
)
infrastructure: Mapped[Optional["Infrastructure"]] = relationship(
"Infrastructure",
back_populates="database_changes",
doc="Relationship to Infrastructure model"
)
# Constraints and indexes
__table_args__ = (
CheckConstraint(
"change_type IN ('schema', 'data', 'index', 'optimization', 'cleanup', 'migration')",
name="ck_database_changes_type"
),
Index("idx_db_changes_work_item", "work_item_id"),
Index("idx_db_changes_database", "database_name"),
)
def __repr__(self) -> str:
"""String representation of the database change."""
return f"<DatabaseChange(database='{self.database_name}', type='{self.change_type}', rows={self.rows_affected})>"