Data Models

1@dataclass(frozen=True, slots=True)
2class ProfileResult:
3    dataset_summary: DatasetSummary
4    column_profiles: Mapping[str, ColumnProfile]
5    numeric_profiles: Mapping[str, NumericProfile]
6    categorical_profiles: Mapping[str, CategoricalProfile]
7    datetime_profiles: Mapping[str, DatetimeProfile]
8    text_profiles: Mapping[str, TextProfile]
9    missing_value_summary: MissingValueSummary
10    duplicate_summary: DuplicateSummary
11    correlation_summary: CorrelationSummary
12    dataset_metadata: DatasetMetadata
13    execution_metadata: ExecutionMetadata
14
15    def to_dict(self) -> dict[str, Any]:
16        """Convert result to a standard serializable dictionary."""

1@dataclass(frozen=True, slots=True)
2class RuleFinding:
3    rule_id: str
4    rule_name: str
5    category: str  # "quality" | "statistical" | "leakage"
6    severity: str  # "info" | "warning" | "critical"
7    column_name: str | None
8    title: str
9    description: str
10    evidence: Mapping[str, Any]
11    confidence: float = 1.0
12    id: str = ...  # Auto-generated UUID string
13    metadata: Mapping[str, Any] = ...  # Extra key-value metadata

1@dataclass(frozen=True, slots=True)
2class RuleResult:
3    profile: ProfileResult
4    findings: Sequence[RuleFinding]
5    executed_rules: Sequence[str]
6    execution_time_ms: float
7    failed_rules: Mapping[str, str]  # Rule ID -> Exception traceback mapping
8
9    def to_dict(self) -> dict[str, Any]:
10        """Convert result to a standard serializable dictionary."""