LSST Applications g00274db5b6+edbf708997,g00d0e8bbd7+edbf708997,g199a45376c+5137f08352,g1fd858c14a+1d4b6db739,g262e1987ae+f4d9505c4f,g29ae962dfc+7156fb1a53,g2cef7863aa+73c82f25e4,g35bb328faa+edbf708997,g3e17d7035e+5b3adc59f5,g3fd5ace14f+852fa6fbcb,g47891489e3+6dc8069a4c,g53246c7159+edbf708997,g64539dfbff+9f17e571f4,g67b6fd64d1+6dc8069a4c,g74acd417e5+ae494d68d9,g786e29fd12+af89c03590,g7ae74a0b1c+a25e60b391,g7aefaa3e3d+536efcc10a,g7cc15d900a+d121454f8d,g87389fa792+a4172ec7da,g89139ef638+6dc8069a4c,g8d7436a09f+28c28d8d6d,g8ea07a8fe4+db21c37724,g92c671f44c+9f17e571f4,g98df359435+b2e6376b13,g99af87f6a8+b0f4ad7b8d,gac66b60396+966efe6077,gb88ae4c679+7dec8f19df,gbaa8f7a6c5+38b34f4976,gbf99507273+edbf708997,gc24b5d6ed1+9f17e571f4,gca7fc764a6+6dc8069a4c,gcc769fe2a4+97d0256649,gd7ef33dd92+6dc8069a4c,gdab6d2f7ff+ae494d68d9,gdbb4c4dda9+9f17e571f4,ge410e46f29+6dc8069a4c,geaed405ab2+e194be0d2b,w.2025.47
LSST Data Management Base Package
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component.py
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1from __future__ import annotations
2
3from abc import ABC, abstractmethod
4from dataclasses import dataclass
5from typing import ClassVar
6
7from numpy.typing import DTypeLike
8
9from ..component import Component
10from ..observation import Observation
11from .utils import PersistenceError
12
13__all__ = ["ScarletComponentBaseData"]
14
15
16@dataclass(kw_only=True)
18 """Base data for a scarlet component
19
20 Attributes
21 ----------
22 component_registry :
23 A registry of all known component types used for deserialization.
24 component_type :
25 The type of component being stored.
26 version :
27 The schema version of the exact data class.
28 """
29
30 component_registry: ClassVar[dict[str, type[ScarletComponentBaseData]]] = {}
31 component_type: str
32 version: str
33
34 @classmethod
35 def register(cls) -> None:
36 """Register a new component type"""
37 ScarletComponentBaseData.component_registry[cls.component_type] = cls
38
39 @abstractmethod
40 def to_component(self, observation: Observation) -> Component:
41 """Convert the storage data model into a scarlet Component
42
43 Parameters
44 ----------
45 observation :
46 The observation that the component is associated with
47
48 Returns
49 -------
50 component :
51 A scarlet component extracted from persisted data.
52 """
53
54 @abstractmethod
55 def as_dict(self) -> dict:
56 """Return the object encoded into a dict for JSON serialization
57
58 Returns
59 -------
60 result :
61 The object encoded as a JSON compatible dict
62 """
63
64 @staticmethod
65 def from_dict(data: dict, dtype: DTypeLike | None = None) -> ScarletComponentBaseData:
66 """Reconstruct `ScarletComponentBaseData` from JSON compatible
67 dict.
68
69 Parameters
70 ----------
71 data :
72 Dictionary representation of the object
73 dtype :
74 Datatype of the resulting model.
75
76 Returns
77 -------
78 result :
79 The reconstructed object
80 """
81 component_type = data.get("component_type", "factorized")
82 # Fix legacy naming
83 if component_type == "component":
84 component_type = "cube"
85 if component_type not in ScarletComponentBaseData.component_registry:
86 raise PersistenceError(f"Unknown component type: {component_type}")
87 cls = ScarletComponentBaseData.component_registry[component_type]
88 return cls.from_dict(data, dtype=dtype)
Component to_component(self, Observation observation)
Definition component.py:40
ScarletComponentBaseData from_dict(dict data, DTypeLike|None dtype=None)
Definition component.py:65