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.
97 lines
2.8 KiB
Python
97 lines
2.8 KiB
Python
"""
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Example calculation templates — declarative only; algorithms are referenced by id.
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These are scaffolding examples, not production coaching rules.
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"""
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from __future__ import annotations
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from typing import Dict
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from data_layer.training_profile.models import CalculationTemplate, DimensionSpec, FocusAreaMapping
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_TEMPLATES: Dict[str, CalculationTemplate] = {}
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def _register(t: CalculationTemplate) -> None:
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if t.id in _TEMPLATES:
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raise ValueError(f"Duplicate template id: {t.id}")
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_TEMPLATES[t.id] = t
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def get_calculation_template(template_id: str) -> CalculationTemplate:
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if template_id not in _TEMPLATES:
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raise KeyError(f"Unknown calculation template: {template_id}")
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return _TEMPLATES[template_id]
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def list_calculation_template_ids() -> tuple[str, ...]:
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return tuple(sorted(_TEMPLATES.keys()))
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# --- Example templates (illustrative) ---
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_example_aerobic = CalculationTemplate(
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id="scaffold_example_aerobic_v1",
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version="1",
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label="Scaffold: aerobic-style intensity + volume (example)",
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dimensions=(
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DimensionSpec(
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key="intensity",
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algorithm_id="threshold_band",
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inputs=("avg_hr", "duration_min"),
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params={
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"value_key": "avg_hr",
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"bands": [
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{"max": 120, "score": 0.25},
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{"max": 140, "score": 0.55},
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{"max": 160, "score": 0.85},
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{"max": None, "score": 1.0},
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],
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},
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maps_to=(
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FocusAreaMapping("aerobic_endurance", 0.7),
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FocusAreaMapping("cardiovascular_health", 0.3),
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),
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),
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DimensionSpec(
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key="volume",
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algorithm_id="linear_range",
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inputs=("duration_min", "distance_km"),
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params={
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"value_key": "duration_min",
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"min_value": 10.0,
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"max_value": 90.0,
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"invert": False,
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},
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maps_to=(FocusAreaMapping("aerobic_endurance", 0.8),),
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),
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),
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)
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_example_strength = CalculationTemplate(
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id="scaffold_example_strength_v1",
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version="1",
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label="Scaffold: strength session load (example)",
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dimensions=(
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DimensionSpec(
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key="effort",
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algorithm_id="linear_range",
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inputs=("duration_min",),
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params={
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"value_key": "duration_min",
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"min_value": 20.0,
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"max_value": 75.0,
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"invert": False,
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},
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maps_to=(
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FocusAreaMapping("strength", 0.9),
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FocusAreaMapping("strength_endurance", 0.1),
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),
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),
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),
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)
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_register(_example_aerobic)
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_register(_example_strength)
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