Felipe Cardoso
742ce4c9c8
Infrastructure: - Add Redis and Celery workers to all docker-compose files - Fix celery migration race condition in entrypoint.sh - Add healthchecks and resource limits to dev compose - Update .env.template with Redis/Celery variables Backend Models & Schemas: - Rename Sprint.completed_points to velocity (per requirements) - Add AgentInstance.name as required field - Rename Issue external tracker fields for consistency - Add IssueSource and TrackerType enums - Add Project.default_tracker_type field Backend Fixes: - Add Celery retry configuration with exponential backoff - Remove unused sequence counter from EventBus - Add mypy overrides for test dependencies - Fix test file using wrong schema (UserUpdate -> dict) Frontend Fixes: - Fix memory leak in useProjectEvents (proper cleanup) - Fix race condition with stale closure in reconnection - Sync TokenWithUser type with regenerated API client - Fix expires_in null handling in useAuth - Clean up unused imports in prototype pages - Add ESLint relaxed rules for prototype files CI/CD: - Add E2E testing stage with Testcontainers - Add security scanning with Trivy and pip-audit - Add dependency caching for faster builds Tests: - Update all tests to use renamed fields (velocity, name, etc.) - Fix 14 schema test failures - All 1500 tests pass with 91% coverage 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
112 lines
3.3 KiB
Python
112 lines
3.3 KiB
Python
# app/models/syndarix/agent_instance.py
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"""
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AgentInstance model for Syndarix AI consulting platform.
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An AgentInstance is a spawned instance of an AgentType, assigned to a
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specific project to perform work.
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"""
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from sqlalchemy import (
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BigInteger,
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Column,
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DateTime,
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Enum,
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ForeignKey,
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Index,
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Integer,
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Numeric,
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String,
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Text,
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)
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from sqlalchemy.dialects.postgresql import (
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JSONB,
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UUID as PGUUID,
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)
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from sqlalchemy.orm import relationship
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from app.models.base import Base, TimestampMixin, UUIDMixin
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from .enums import AgentStatus
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class AgentInstance(Base, UUIDMixin, TimestampMixin):
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"""
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AgentInstance model representing a spawned agent working on a project.
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Tracks:
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- Current status and task
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- Memory (short-term in DB, long-term reference to vector store)
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- Session information for MCP connections
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- Usage metrics (tasks completed, tokens, cost)
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"""
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__tablename__ = "agent_instances"
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# Foreign keys
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agent_type_id = Column(
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PGUUID(as_uuid=True),
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ForeignKey("agent_types.id", ondelete="RESTRICT"),
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nullable=False,
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index=True,
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)
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project_id = Column(
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PGUUID(as_uuid=True),
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ForeignKey("projects.id", ondelete="CASCADE"),
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nullable=False,
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index=True,
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)
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# Agent instance name (e.g., "Dave", "Eve") for personality
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name = Column(String(100), nullable=False, index=True)
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# Status tracking
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status: Column[AgentStatus] = Column(
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Enum(AgentStatus),
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default=AgentStatus.IDLE,
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nullable=False,
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index=True,
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)
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# Current task description (brief summary of what agent is doing)
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current_task = Column(Text, nullable=True)
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# Short-term memory stored in database (conversation context, recent decisions)
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short_term_memory = Column(JSONB, default=dict, nullable=False)
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# Reference to long-term memory in vector store (e.g., "project-123/agent-456")
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long_term_memory_ref = Column(String(500), nullable=True)
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# Session ID for active MCP connections
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session_id = Column(String(255), nullable=True, index=True)
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# Activity tracking
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last_activity_at = Column(DateTime(timezone=True), nullable=True, index=True)
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terminated_at = Column(DateTime(timezone=True), nullable=True, index=True)
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# Usage metrics
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tasks_completed = Column(Integer, default=0, nullable=False)
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tokens_used = Column(BigInteger, default=0, nullable=False)
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cost_incurred = Column(Numeric(precision=10, scale=4), default=0, nullable=False)
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# Relationships
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agent_type = relationship("AgentType", back_populates="instances")
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project = relationship("Project", back_populates="agent_instances")
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assigned_issues = relationship(
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"Issue",
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back_populates="assigned_agent",
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foreign_keys="Issue.assigned_agent_id",
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)
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__table_args__ = (
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Index("ix_agent_instances_project_status", "project_id", "status"),
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Index("ix_agent_instances_type_status", "agent_type_id", "status"),
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Index("ix_agent_instances_project_type", "project_id", "agent_type_id"),
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)
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def __repr__(self) -> str:
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return (
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f"<AgentInstance {self.name} ({self.id}) type={self.agent_type_id} "
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f"project={self.project_id} status={self.status.value}>"
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)
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