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>
27 lines
975 B
Python
27 lines
975 B
Python
def working_position_label(ss_idx: int, num_supersets: int) -> str:
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"""Return early/middle/late position label for a working superset index."""
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if num_supersets <= 1 or ss_idx == 0:
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return 'early'
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if ss_idx >= num_supersets - 1:
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return 'late'
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return 'middle'
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def merge_pattern_preferences(position_patterns, rule_patterns):
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"""Combine positional and structure-rule pattern preferences."""
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if rule_patterns and position_patterns:
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overlap = [p for p in position_patterns if p in rule_patterns]
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return overlap or rule_patterns[:3]
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if rule_patterns:
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return rule_patterns[:3]
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return position_patterns
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def rotated_muscle_subset(target_muscles: list[str], ss_idx: int) -> list[str]:
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"""Rotate target muscle emphasis between supersets."""
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if len(target_muscles) <= 1:
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return target_muscles
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start = ss_idx % len(target_muscles)
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return target_muscles[start:] + target_muscles[:start]
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