Add extended health metrics and trends UI

tests/test_storage.py

@@ -32,7 +32,54 @@ def test_init_health_db_is_idempotent(tmp_path: Path) -> None:
             row["name"]
             for row in conn.execute("SELECT name FROM sqlite_master WHERE type = 'table'").fetchall()
         }
-    assert {"steps_daily", "sleep_daily", "heart_rate", "blood_oxygen"}.issubset(tables)
+    assert {
+        "steps_daily",
+        "sleep_daily",
+        "heart_rate",
+        "blood_oxygen",
+        "stress",
+        "calories_daily",
+        "weight",
+        "workouts",
+    }.issubset(tables)
+
+
+def test_extended_health_tables_have_expected_columns(tmp_path: Path) -> None:
+    db_path = tmp_path / "miband_123.db"
+    storage.init_health_db(db_path)
+
+    with storage.sqlite_conn(db_path, row_factory=False) as conn:
+        columns = {
+            table: {
+                row[1]
+                for row in conn.execute(f"PRAGMA table_info({table})").fetchall()
+            }
+            for table in ("stress", "calories_daily", "weight", "workouts")
+        }
+
+    assert columns["stress"] == {"timestamp", "value"}
+    assert {
+        "date",
+        "total_cal",
+        "active_cal",
+        "valid_stand_hours",
+        "intensity_minutes",
+        "last_sync",
+    }.issubset(columns["calories_daily"])
+    assert {"timestamp", "weight_kg", "bmi", "body_fat_pct"}.issubset(columns["weight"])
+    assert {
+        "workout_id",
+        "sport_type",
+        "start_time",
+        "end_time",
+        "duration_sec",
+        "calories",
+        "avg_hr",
+        "max_hr",
+        "min_hr",
+        "watermark",
+        "raw_json",
+    }.issubset(columns["workouts"])
 
 
 def test_zip_export_includes_non_empty_tables_only(tmp_path: Path) -> None:
@@ -44,9 +91,24 @@ def test_zip_export_includes_non_empty_tables_only(tmp_path: Path) -> None:
             "INSERT INTO steps_daily (date, total_steps, calories, distance_m, last_sync) VALUES (?, ?, ?, ?, ?)",
             ("2026-05-24", 1000, 10.0, 800.0, 1),
         )
+        conn.execute(
+            "INSERT INTO stress (timestamp, value) VALUES (?, ?)",
+            (1779760000, 42),
+        )
+        conn.execute(
+            """
+            INSERT INTO workouts
+                (workout_id, sport_type, start_time, end_time, duration_sec,
+                 calories, avg_hr, max_hr, min_hr, watermark, raw_json)
+            VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
+            """,
+            ("w1", "free_training", 1779760000, 1779760600, 600, 55.0, 110, 130, 90, 1, "{}"),
+        )
         conn.commit()
 
     archive = storage.zip_export(settings)
 
     assert archive.getbuffer().nbytes > 0
     assert b"steps_daily.csv" in archive.getvalue()
+    assert b"stress.csv" in archive.getvalue()
+    assert b"workouts.csv" in archive.getvalue()