Feature model representing a test case/feature to implement.
| 39 | |
| 40 | |
| 41 | class Feature(Base): |
| 42 | """Feature model representing a test case/feature to implement.""" |
| 43 | |
| 44 | __tablename__ = "features" |
| 45 | |
| 46 | # Composite index for common status query pattern (passes, in_progress) |
| 47 | # Used by feature_get_stats, get_ready_features, and other status queries |
| 48 | __table_args__ = ( |
| 49 | Index('ix_feature_status', 'passes', 'in_progress'), |
| 50 | ) |
| 51 | |
| 52 | id = Column(Integer, primary_key=True, index=True) |
| 53 | priority = Column(Integer, nullable=False, default=999, index=True) |
| 54 | category = Column(String(100), nullable=False) |
| 55 | name = Column(String(255), nullable=False) |
| 56 | description = Column(Text, nullable=False) |
| 57 | steps = Column(JSON, nullable=False) # Stored as JSON array |
| 58 | passes = Column(Boolean, nullable=False, default=False, index=True) |
| 59 | in_progress = Column(Boolean, nullable=False, default=False, index=True) |
| 60 | # Dependencies: list of feature IDs that must be completed before this feature |
| 61 | # NULL/empty = no dependencies (backwards compatible) |
| 62 | dependencies = Column(JSON, nullable=True, default=None) |
| 63 | |
| 64 | def to_dict(self) -> dict: |
| 65 | """Convert feature to dictionary for JSON serialization.""" |
| 66 | return { |
| 67 | "id": self.id, |
| 68 | "priority": self.priority, |
| 69 | "category": self.category, |
| 70 | "name": self.name, |
| 71 | "description": self.description, |
| 72 | "steps": self.steps, |
| 73 | # Handle legacy NULL values gracefully - treat as False |
| 74 | "passes": self.passes if self.passes is not None else False, |
| 75 | "in_progress": self.in_progress if self.in_progress is not None else False, |
| 76 | # Dependencies: NULL/empty treated as empty list for backwards compat |
| 77 | "dependencies": self.dependencies if self.dependencies else [], |
| 78 | } |
| 79 | |
| 80 | def get_dependencies_safe(self) -> list[int]: |
| 81 | """Safely extract dependencies, handling NULL and malformed data.""" |
| 82 | if self.dependencies is None: |
| 83 | return [] |
| 84 | if isinstance(self.dependencies, list): |
| 85 | return [d for d in self.dependencies if isinstance(d, int)] |
| 86 | return [] |
| 87 | |
| 88 | |
| 89 | class Schedule(Base): |
no outgoing calls
no test coverage detected