Lars
f0e6fd04fb
- Introduced new routes and API endpoints for managing personal reference values. - Updated the SettingsPage to include a section for reference values with navigation to manage them. - Enhanced the backend to support reference values in the data layer and versioning. - Added necessary imports and UI components for a seamless user experience.
48 lines
1.3 KiB
Python
48 lines
1.3 KiB
Python
"""
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Registry for built-in algorithm ids → callables.
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Only code registers algorithms; templates reference ids declared here.
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"""
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from __future__ import annotations
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from typing import Any, Callable, Dict, Mapping
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from data_layer.training_profile.algorithms.builtin.linear_range import (
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ALGORITHM_ID as LINEAR_RANGE_ID,
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linear_range_score,
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)
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from data_layer.training_profile.algorithms.builtin.threshold_band import (
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ALGORITHM_ID as THRESHOLD_BAND_ID,
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threshold_band_score,
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)
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from data_layer.training_profile.models import AlgorithmRunResult
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AlgorithmFn = Callable[..., AlgorithmRunResult]
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_REGISTRY: Dict[str, AlgorithmFn] = {}
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def register_algorithm(algorithm_id: str, fn: AlgorithmFn) -> None:
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if algorithm_id in _REGISTRY:
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raise ValueError(f"Algorithm already registered: {algorithm_id}")
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_REGISTRY[algorithm_id] = fn
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def get_algorithm(algorithm_id: str) -> AlgorithmFn:
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if algorithm_id not in _REGISTRY:
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raise KeyError(f"Unknown algorithm_id: {algorithm_id}")
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return _REGISTRY[algorithm_id]
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def list_algorithm_ids() -> tuple[str, ...]:
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return tuple(sorted(_REGISTRY.keys()))
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def _register_defaults() -> None:
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register_algorithm(THRESHOLD_BAND_ID, threshold_band_score)
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register_algorithm(LINEAR_RANGE_ID, linear_range_score)
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_register_defaults()
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