|
| 1 | +from collections.abc import Iterator |
| 2 | +from dataclasses import dataclass, fields |
| 3 | +from typing import Generic, Self, TypeVar |
| 4 | + |
| 5 | +from pymc_extras.statespace.core import PyMCStateSpace |
| 6 | +from pymc_extras.statespace.models.structural.core import Component |
| 7 | +from pymc_extras.statespace.utils.constants import ( |
| 8 | + ALL_STATE_AUX_DIM, |
| 9 | + ALL_STATE_DIM, |
| 10 | + OBS_STATE_AUX_DIM, |
| 11 | + OBS_STATE_DIM, |
| 12 | + SHOCK_AUX_DIM, |
| 13 | + SHOCK_DIM, |
| 14 | +) |
| 15 | + |
| 16 | + |
| 17 | +@dataclass(frozen=True) |
| 18 | +class Property: |
| 19 | + def __str__(self) -> str: |
| 20 | + return "\n".join(f"{f.name}: {getattr(self, f.name)}" for f in fields(self)) |
| 21 | + |
| 22 | + |
| 23 | +T = TypeVar("T", bound=Property) |
| 24 | + |
| 25 | + |
| 26 | +@dataclass(frozen=True) |
| 27 | +class Info(Generic[T]): |
| 28 | + items: tuple[T, ...] |
| 29 | + key_field: str = "name" |
| 30 | + _index: dict[str, T] | None = None |
| 31 | + |
| 32 | + def __post_init__(self): |
| 33 | + index = {} |
| 34 | + missing_attr = [] |
| 35 | + for item in self.items: |
| 36 | + if not hasattr(item, self.key_field): |
| 37 | + missing_attr.append(item) |
| 38 | + continue |
| 39 | + key = getattr(item, self.key_field) |
| 40 | + if key in index: |
| 41 | + raise ValueError(f"Duplicate {self.key_field} '{key}' detected.") |
| 42 | + index[key] = item |
| 43 | + if missing_attr: |
| 44 | + raise AttributeError(f"Items missing attribute '{self.key_field}': {missing_attr}") |
| 45 | + object.__setattr__(self, "_index", index) |
| 46 | + |
| 47 | + def _key(self, item: T) -> str: |
| 48 | + return getattr(item, self.key_field) |
| 49 | + |
| 50 | + def get(self, key: str, default=None) -> T | None: |
| 51 | + return self._index.get(key, default) |
| 52 | + |
| 53 | + def __getitem__(self, key: str) -> T: |
| 54 | + try: |
| 55 | + return self._index[key] |
| 56 | + except KeyError as e: |
| 57 | + available = ", ".join(self._index.keys()) |
| 58 | + raise KeyError(f"No {self.key_field} '{key}'. Available: [{available}]") from e |
| 59 | + |
| 60 | + def __contains__(self, key: object) -> bool: |
| 61 | + return key in self._index |
| 62 | + |
| 63 | + def __iter__(self) -> Iterator[str]: |
| 64 | + return iter(self._index) |
| 65 | + |
| 66 | + def __len__(self) -> int: |
| 67 | + return len(self._index) |
| 68 | + |
| 69 | + def __str__(self) -> str: |
| 70 | + return f"{self.key_field}s: {list(self._index.keys())}" |
| 71 | + |
| 72 | + @property |
| 73 | + def names(self) -> tuple[str, ...]: |
| 74 | + return tuple(self._index.keys()) |
| 75 | + |
| 76 | + |
| 77 | +@dataclass(frozen=True) |
| 78 | +class Parameter(Property): |
| 79 | + name: str |
| 80 | + shape: tuple[int, ...] |
| 81 | + dims: tuple[str, ...] |
| 82 | + constraints: str | None = None |
| 83 | + |
| 84 | + |
| 85 | +@dataclass(frozen=True) |
| 86 | +class ParameterInfo(Info[Parameter]): |
| 87 | + def __init__(self, parameters: list[Parameter]): |
| 88 | + super().__init__(items=tuple(parameters), key_field="name") |
| 89 | + |
| 90 | + |
| 91 | +@dataclass(frozen=True) |
| 92 | +class Data(Property): |
| 93 | + name: str |
| 94 | + shape: tuple[int, ...] |
| 95 | + dims: tuple[str, ...] |
| 96 | + is_exogenous: bool |
| 97 | + |
| 98 | + |
| 99 | +@dataclass(frozen=True) |
| 100 | +class DataInfo(Info[Data]): |
| 101 | + def __init__(self, data: list[Data]): |
| 102 | + super().__init__(items=tuple(data), key_field="name") |
| 103 | + |
| 104 | + @property |
| 105 | + def needs_exogenous_data(self) -> bool: |
| 106 | + return any(d.is_exogenous for d in self.items) |
| 107 | + |
| 108 | + def __str__(self) -> str: |
| 109 | + return f"data: {[d.name for d in self.items]}\nneeds exogenous data: {self.needs_exogenous_data}" |
| 110 | + |
| 111 | + |
| 112 | +@dataclass(frozen=True) |
| 113 | +class Coord(Property): |
| 114 | + dimension: str |
| 115 | + labels: tuple[str, ...] |
| 116 | + |
| 117 | + |
| 118 | +@dataclass(frozen=True) |
| 119 | +class CoordInfo(Info[Coord]): |
| 120 | + def __init__(self, coords: list[Coord]): |
| 121 | + super().__init__(items=tuple(coords), key_field="dimension") |
| 122 | + |
| 123 | + def __str__(self) -> str: |
| 124 | + base = "coordinates:" |
| 125 | + for coord in self.items: |
| 126 | + coord_str = str(coord) |
| 127 | + indented = "\n".join(" " + line for line in coord_str.splitlines()) |
| 128 | + base += "\n" + indented + "\n" |
| 129 | + return base |
| 130 | + |
| 131 | + @classmethod |
| 132 | + def default_coords_from_model(cls, model: Component | PyMCStateSpace) -> Self: |
| 133 | + states = tuple(model.state_names) |
| 134 | + obs_states = tuple(model.observed_state_names) |
| 135 | + shocks = tuple(model.shock_names) |
| 136 | + |
| 137 | + dim_to_labels = ( |
| 138 | + (ALL_STATE_DIM, states), |
| 139 | + (ALL_STATE_AUX_DIM, states), |
| 140 | + (OBS_STATE_DIM, obs_states), |
| 141 | + (OBS_STATE_AUX_DIM, obs_states), |
| 142 | + (SHOCK_DIM, shocks), |
| 143 | + (SHOCK_AUX_DIM, shocks), |
| 144 | + ) |
| 145 | + |
| 146 | + coords = [Coord(dimension=dim, labels=labels) for dim, labels in dim_to_labels] |
| 147 | + return cls(coords) |
| 148 | + |
| 149 | + |
| 150 | +@dataclass(frozen=True) |
| 151 | +class State(Property): |
| 152 | + name: str |
| 153 | + observed: bool |
| 154 | + shared: bool |
| 155 | + |
| 156 | + |
| 157 | +@dataclass(frozen=True) |
| 158 | +class StateInfo(Info[State]): |
| 159 | + def __init__(self, states: list[State]): |
| 160 | + super().__init__(items=tuple(states), key_field="name") |
| 161 | + |
| 162 | + def __str__(self) -> str: |
| 163 | + return ( |
| 164 | + f"states: {[s.name for s in self.items]}\nobserved: {[s.observed for s in self.items]}" |
| 165 | + ) |
| 166 | + |
| 167 | + |
| 168 | +@dataclass(frozen=True) |
| 169 | +class Shock(Property): |
| 170 | + name: str |
| 171 | + |
| 172 | + |
| 173 | +@dataclass(frozen=True) |
| 174 | +class ShockInfo(Info[Shock]): |
| 175 | + def __init__(self, shocks: list[Shock]): |
| 176 | + super().__init__(items=tuple(shocks), key_field="name") |
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