Exclude indoor/virtual activities from records and power curve

bincio/extract/writer.py

@@ -277,9 +277,12 @@ def write_athlete_json(summaries: list[dict], output_dir: Path, athlete_config:
                     best[d] = w
         return [[d, w] for d, w in sorted(best.items())]
 
-    all_mmps = [s["mmp"] for s in summaries if s.get("mmp")]
-    mmps_365 = [s["mmp"] for s in summaries if s.get("mmp") and s["started_at"] >= cutoff_365]
-    mmps_90  = [s["mmp"] for s in summaries if s.get("mmp") and s["started_at"] >= cutoff_90]
+    def _is_outdoor(s: dict) -> bool:
+        return s.get("sub_sport") != "indoor"
+
+    all_mmps = [s["mmp"] for s in summaries if s.get("mmp") and _is_outdoor(s)]
+    mmps_365 = [s["mmp"] for s in summaries if s.get("mmp") and _is_outdoor(s) and s["started_at"] >= cutoff_365]
+    mmps_90  = [s["mmp"] for s in summaries if s.get("mmp") and _is_outdoor(s) and s["started_at"] >= cutoff_90]
 
     # ── Personal records aggregation ──────────────────────────────────────────
     # records[sport][distance_km] = {time_s, activity_id, started_at, title}
@@ -290,6 +293,8 @@ def write_athlete_json(summaries: list[dict], output_dir: Path, athlete_config:
     best_climb: list[dict] = []   # top 10 best climbs for cycling
 
     for s in summaries:
+        if not _is_outdoor(s):
+            continue
         sport = s.get("sport", "other")
         act_id = s.get("id", "")
         started = s.get("started_at", "")