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Major feature implementation for parallel agent execution with dependency-aware scheduling and an engaging multi-agent UI experience. Backend Changes: - Add parallel_orchestrator.py for concurrent feature processing - Add api/dependency_resolver.py with cycle detection (Kahn's algorithm + DFS) - Add atomic feature_claim_next() with retry limit and exponential backoff - Fix circular dependency check arguments in 4 locations - Add AgentTracker class for parsing agent output and emitting updates - Add browser isolation with --isolated flag for Playwright MCP - Extend WebSocket protocol with agent_update messages and log attribution - Add WSAgentUpdateMessage schema with agent states and mascot names - Fix WSProgressMessage to include in_progress field New UI Components: - AgentMissionControl: Dashboard showing active agents with collapsible activity - AgentCard: Individual agent status with avatar and thought bubble - AgentAvatar: SVG mascots (Spark, Fizz, Octo, Hoot, Buzz) with animations - ActivityFeed: Recent activity stream with stable keys (no flickering) - CelebrationOverlay: Confetti animation with click/Escape dismiss - DependencyGraph: Interactive node graph visualization with dagre layout - DependencyBadge: Visual indicator for feature dependencies - ViewToggle: Switch between Kanban and Graph views - KeyboardShortcutsHelp: Help overlay accessible via ? key UI/UX Improvements: - Celebration queue system to handle rapid success messages - Accessibility attributes on AgentAvatar (role, aria-label, aria-live) - Collapsible Recent Activity section with persisted preference - Agent count display in header - Keyboard shortcut G to toggle Kanban/Graph view - Real-time thought bubbles and state animations Bug Fixes: - Fix circular dependency validation (swapped source/target arguments) - Add MAX_CLAIM_RETRIES=10 to prevent stack overflow under contention - Fix THOUGHT_PATTERNS to match actual [Tool: name] format - Fix ActivityFeed key prop to prevent re-renders on new items - Add featureId/agentIndex to log messages for proper attribution Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
171 lines
5.9 KiB
Python
171 lines
5.9 KiB
Python
"""
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Database Models and Connection
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==============================
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SQLite database schema for feature storage using SQLAlchemy.
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"""
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from pathlib import Path
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from typing import Optional
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from sqlalchemy import Boolean, Column, Integer, String, Text, create_engine, text
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from sqlalchemy.ext.declarative import declarative_base
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from sqlalchemy.orm import Session, sessionmaker
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from sqlalchemy.types import JSON
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Base = declarative_base()
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class Feature(Base):
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"""Feature model representing a test case/feature to implement."""
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__tablename__ = "features"
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id = Column(Integer, primary_key=True, index=True)
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priority = Column(Integer, nullable=False, default=999, index=True)
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category = Column(String(100), nullable=False)
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name = Column(String(255), nullable=False)
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description = Column(Text, nullable=False)
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steps = Column(JSON, nullable=False) # Stored as JSON array
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passes = Column(Boolean, nullable=False, default=False, index=True)
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in_progress = Column(Boolean, nullable=False, default=False, index=True)
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# Dependencies: list of feature IDs that must be completed before this feature
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# NULL/empty = no dependencies (backwards compatible)
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dependencies = Column(JSON, nullable=True, default=None)
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def to_dict(self) -> dict:
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"""Convert feature to dictionary for JSON serialization."""
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return {
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"id": self.id,
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"priority": self.priority,
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"category": self.category,
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"name": self.name,
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"description": self.description,
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"steps": self.steps,
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# Handle legacy NULL values gracefully - treat as False
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"passes": self.passes if self.passes is not None else False,
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"in_progress": self.in_progress if self.in_progress is not None else False,
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# Dependencies: NULL/empty treated as empty list for backwards compat
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"dependencies": self.dependencies if self.dependencies else [],
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}
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def get_dependencies_safe(self) -> list[int]:
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"""Safely extract dependencies, handling NULL and malformed data."""
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if self.dependencies is None:
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return []
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if isinstance(self.dependencies, list):
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return [d for d in self.dependencies if isinstance(d, int)]
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return []
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def get_database_path(project_dir: Path) -> Path:
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"""Return the path to the SQLite database for a project."""
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return project_dir / "features.db"
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def get_database_url(project_dir: Path) -> str:
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"""Return the SQLAlchemy database URL for a project.
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Uses POSIX-style paths (forward slashes) for cross-platform compatibility.
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"""
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db_path = get_database_path(project_dir)
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return f"sqlite:///{db_path.as_posix()}"
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def _migrate_add_in_progress_column(engine) -> None:
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"""Add in_progress column to existing databases that don't have it."""
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with engine.connect() as conn:
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# Check if column exists
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result = conn.execute(text("PRAGMA table_info(features)"))
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columns = [row[1] for row in result.fetchall()]
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if "in_progress" not in columns:
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# Add the column with default value
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conn.execute(text("ALTER TABLE features ADD COLUMN in_progress BOOLEAN DEFAULT 0"))
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conn.commit()
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def _migrate_fix_null_boolean_fields(engine) -> None:
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"""Fix NULL values in passes and in_progress columns."""
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with engine.connect() as conn:
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# Fix NULL passes values
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conn.execute(text("UPDATE features SET passes = 0 WHERE passes IS NULL"))
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# Fix NULL in_progress values
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conn.execute(text("UPDATE features SET in_progress = 0 WHERE in_progress IS NULL"))
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conn.commit()
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def _migrate_add_dependencies_column(engine) -> None:
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"""Add dependencies column to existing databases that don't have it.
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Uses NULL default for backwards compatibility - existing features
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without dependencies will have NULL which is treated as empty list.
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"""
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with engine.connect() as conn:
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# Check if column exists
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result = conn.execute(text("PRAGMA table_info(features)"))
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columns = [row[1] for row in result.fetchall()]
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if "dependencies" not in columns:
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# Use TEXT for SQLite JSON storage, NULL default for backwards compat
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conn.execute(text("ALTER TABLE features ADD COLUMN dependencies TEXT DEFAULT NULL"))
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conn.commit()
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def create_database(project_dir: Path) -> tuple:
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"""
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Create database and return engine + session maker.
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Args:
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project_dir: Directory containing the project
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Returns:
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Tuple of (engine, SessionLocal)
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"""
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db_url = get_database_url(project_dir)
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engine = create_engine(db_url, connect_args={
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"check_same_thread": False,
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"timeout": 30 # Wait up to 30s for locks
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})
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Base.metadata.create_all(bind=engine)
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# Enable WAL mode for better concurrent read/write performance
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with engine.connect() as conn:
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conn.execute(text("PRAGMA journal_mode=WAL"))
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conn.execute(text("PRAGMA busy_timeout=30000"))
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conn.commit()
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# Migrate existing databases
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_migrate_add_in_progress_column(engine)
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_migrate_fix_null_boolean_fields(engine)
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_migrate_add_dependencies_column(engine)
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SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
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return engine, SessionLocal
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# Global session maker - will be set when server starts
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_session_maker: Optional[sessionmaker] = None
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def set_session_maker(session_maker: sessionmaker) -> None:
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"""Set the global session maker."""
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global _session_maker
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_session_maker = session_maker
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def get_db() -> Session:
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"""
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Dependency for FastAPI to get database session.
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Yields a database session and ensures it's closed after use.
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"""
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if _session_maker is None:
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raise RuntimeError("Database not initialized. Call set_session_maker first.")
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db = _session_maker()
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try:
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yield db
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finally:
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db.close()
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