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557ee65 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 | from core.intelligence.runner_intelligence_snapshot import RunnerIntelligenceSnapshot
def build_intelligence_snapshot(context) -> RunnerIntelligenceSnapshot:
"""
Builds a RunnerIntelligenceSnapshot from a PipelineContext.
This is an aggregation layer only. It uses safe accessors (`getattr`)
to extract already-computed values without introducing new business logic.
"""
summary = context.summary
# Helper to safely extract depending on whether summary is a dict, WeeklySnapshot, or WeeklySummary
def _extract_summary_val(dict_key, attr_names, default, transform=None):
if not summary:
return default
val = default
if isinstance(summary, dict):
val = summary.get(dict_key, default)
else:
for attr in attr_names:
if hasattr(summary, attr):
val = getattr(summary, attr, default)
break
return transform(val) if transform and val != default else val
return RunnerIntelligenceSnapshot(
week_start=_extract_summary_val("week_start", ["week_start_date", "week_start"], None),
training_state=getattr(context, "training_state", None),
health_signal=getattr(context, "health_signal", None),
positioning_status=getattr(context, "positioning_status", None),
positioning_change=getattr(context, "positioning_change", None),
goal_trajectory=getattr(context, "goal_trajectory", None),
goal_progress_pct=getattr(context, "goal_progress_pct", None),
next_run=getattr(context, "next_run", None),
training_focus=getattr(context, "training_focus", None),
key_insight=getattr(context, "key_insight", None),
forward_focus=getattr(context, "forward_focus", None),
weekly_distance_km=_extract_summary_val(
"total_distance_m",
["total_distance_km", "total_distance_m"],
0.0,
transform=lambda x: x / 1000.0 if not hasattr(summary, "total_distance_km") else x
),
run_count=_extract_summary_val("num_runs", ["run_count", "num_runs"], 0),
consistency_score=_extract_summary_val("consistency_score", ["consistency_score"], 0),
)
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