Add saved analysis workspace and live dashboard statistics

2026-10-03 12:27:20 +10:00
parent 5ede1a01d2
commit e6e2f22479
31 changed files with 1986 additions and 131 deletions
@@ -0,0 +1,61 @@
+"""Expand persisted compact laps or moving segments without reading raw recordings."""
+
+from copy import copy
+
+from .stats_analysis import evaluate, expression_tree, valid
+from .stats_dsl import QueryError
+
+
+def expand(history, q, catalog):
+    rows = []
+    trees = [
+        (spec["name"], expression_tree(spec["expression"], catalog)[0]) for spec in q["derived"]
+    ]
+    for activity in history:
+        for index, unit in enumerate((activity.analysis_summary or {}).get(q["source"], [])):
+            if (
+                not isinstance(unit, dict)
+                or not valid(unit.get("distance"))
+                or not valid(unit.get("duration"))
+                or unit["duration"] <= 0
+                or unit["distance"] <= 0
+            ):
+                continue
+            row = copy(activity)
+            row.activity_id = activity.id
+            row.id = activity.id * 1000000 + index
+            row.title = (
+                f"{activity.title} · {'lap' if q['source'] == 'laps' else 'segment'} {index + 1}"
+            )
+            row.distance_m, row.duration_s = unit["distance"], unit["duration"]
+            row.elevation_m = unit.get("elevation")
+            row.avg_hr = (
+                unit.get("heart_rate")
+                if valid(unit.get("heart_rate")) and unit["heart_rate"] > 0
+                else None
+            )
+            row.values = {key: None for key in catalog}
+            row.values.update(
+                count=1,
+                distance=row.distance_m / 1000,
+                duration=row.duration_s / 3600,
+                pace=row.duration_s * 1000 / row.distance_m,
+                speed=row.distance_m / row.duration_s * 3.6,
+                heart_rate=row.avg_hr,
+                elevation=row.elevation_m,
+                elevation_per_km=row.elevation_m / (row.distance_m / 1000)
+                if valid(row.elevation_m)
+                else None,
+            )
+            for key in ("gap", "pace_variability", "heart_rate_drift", "sensor_coverage"):
+                row.values[key] = unit.get(key)
+            row.analysis_summary = row.values
+            row.previous = None
+            for name, tree in trees:
+                row.values[name] = evaluate(tree, row.values)
+            rows.append(row)
+            if len(rows) > 100000:
+                raise QueryError(
+                    "This expands over 100,000 recording units. Use a shorter date range."
+                )
+    return rows