c80c66c2e5
Deep audit identified 106 findings; 102 fixed, 4 deferred. Covers 8 areas: - Settings & deploy: env-gated DEBUG/SECRET_KEY, HTTPS headers, gunicorn, celery worker - Auth (registered_user): password write_only, request.data fixes, transaction safety, proper HTTP status codes - Workout app: IDOR protection, get_object_or_404, prefetch_related N+1 fixes, transaction.atomic - Video/scripts: path traversal sanitization, HLS trigger guard, auth on cache wipe - Models (exercise/equipment/muscle/superset): null-safe __str__, stable IDs, prefetch support - Generator views: helper for registered_user lookup, logger.exception, bulk_update, transaction wrapping - Generator core (rules/selector/generator): push-pull ratio, type affinity normalization, modality checks, side-pair exact match, word-boundary regex, equipment cache clearing - Generator services (plan_builder/analyzer/normalizer): transaction.atomic, muscle cache, bulk_update, glutes classification fix Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
32 lines
1.1 KiB
Python
32 lines
1.1 KiB
Python
def apply_fitness_scaling(
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params: dict,
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*,
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fitness_level: int,
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scaling_config: dict,
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min_reps: int,
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min_reps_strength: int,
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is_strength: bool = False,
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) -> dict:
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"""Scale workout params based on fitness level."""
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out = dict(params)
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level = fitness_level or 2
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scaling = scaling_config.get(level, scaling_config[2])
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rep_floor = min_reps_strength if is_strength else min_reps
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out['rep_min'] = max(rep_floor, int(out['rep_min'] * scaling['rep_min_mult']))
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out['rep_max'] = max(out['rep_min'], int(out['rep_max'] * scaling['rep_max_mult']))
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rounds_min, rounds_max = out['rounds']
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rounds_min = max(1, rounds_min + scaling['rounds_adj'])
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rounds_max = max(rounds_min, rounds_max + scaling['rounds_adj'])
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out['rounds'] = (rounds_min, rounds_max)
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rest = out.get('rest_between_rounds', 45)
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out['rest_between_rounds'] = max(15, rest + scaling['rest_adj'])
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if level <= 1 and is_strength:
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out['rep_min'] = max(5, out['rep_min'])
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out['rep_max'] = max(out['rep_min'], out['rep_max'])
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return out
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