REE MCP Server

"""Indicator data aggregate.""" from dataclasses import dataclass from .indicator import Indicator from .indicator_value import IndicatorValue @dataclass class IndicatorData: """Aggregate root containing indicator metadata and values. Attributes: indicator: The indicator metadata values: List of time-series values """ indicator: Indicator values: list[IndicatorValue] def __len__(self) -> int: """Return number of values.""" return len(self.values) def is_empty(self) -> bool: """Check if there are no values.""" return len(self.values) == 0 def min_value(self) -> float | None: """Get minimum value.""" if self.is_empty(): return None return min(v.value for v in self.values) def max_value(self) -> float | None: """Get maximum value.""" if self.is_empty(): return None return max(v.value for v in self.values) def avg_value(self) -> float | None: """Get average value.""" if self.is_empty(): return None return sum(v.value for v in self.values) / len(self.values) def get_values_for_geo(self, geo_scope: str) -> list[IndicatorValue]: """Filter values by geographic scope. Args: geo_scope: Geographic scope to filter by Returns: List of values matching the geographic scope. """ return [v for v in self.values if v.geo_scope.value == geo_scope]