Add saved analysis workspace and live dashboard statistics

scripts/preview-fixture.py

@@ -12,7 +12,7 @@ from waitress import serve
 from app import create_app
 from app.display import persist_analysis
 from app.extensions import db
-from app.models import Activity, User
+from app.models import Activity, SavedAnalysis, User
 from app.records import persist_efforts
 
 app = create_app(
@@ -33,14 +33,20 @@ with app.app_context():
     )
     db.session.add(user)
     db.session.flush()
-    for i in range(5):
+    analysis_preview = "--analysis" in sys.argv
+    for i in range(70 if analysis_preview else 5):
+        effort_hr = 157 + i % 3 if i < 8 else 141 + i % 5
         samples = [
             {
                 "point": [51.507 + 0.007 * math.sin(n / 70), -0.14 + n / 25000],
-                "distance": n * 20,
+                "distance": n * (15 if analysis_preview else 20),
                 "time": n * 5,
-                "speed": 2.8 + 0.3 * math.sin(n / 20),
-                "heart_rate": 140 + 12 * math.sin(n / 30),
+                "speed": 3 + 0.02 * math.sin(n / 20)
+                if analysis_preview
+                else 2.8 + 0.3 * math.sin(n / 20),
+                "heart_rate": effort_hr + math.sin(n / 30)
+                if analysis_preview
+                else 140 + 12 * math.sin(n / 30),
                 "elevation": 10 + n / 30,
             }
             for n in range(300)
@@ -55,12 +61,12 @@ with app.app_context():
                     "Easy Sunday",
                     "Tempo session",
                     "Evening loop",
-                ][i],
-                started_at=datetime.now(UTC) - timedelta(days=i * 5),
-                distance_m=6000 + i * 700,
-                duration_s=2100 + i * 200,
-                elevation_m=38 + i * 7,
-                avg_hr=145,
+                ][i % 5],
+                started_at=datetime.now(UTC) - timedelta(days=i * (2 if analysis_preview else 5)),
+                distance_m=6000 if analysis_preview else 6000 + i * 700,
+                duration_s=1980 if analysis_preview else 2100 + i * 200,
+                elevation_m=30 if analysis_preview else 38 + i * 7,
+                avg_hr=effort_hr if analysis_preview else 145,
                 sport="running",
                 visibility="friends",
                 samples=samples,
@@ -71,6 +77,30 @@ with app.app_context():
         if isinstance(row, Activity):
             persist_efforts(row)
             persist_analysis(row)
+    if analysis_preview:
+        from app.stats_presets import PRESETS
+
+        names = [
+            "HR at comparable pace",
+            "Workload context",
+            "HR in steady segments",
+            "Easy and harder volume",
+        ]
+        for position, name in enumerate(names):
+            preset = next(preset for preset in PRESETS if preset["name"] == name)
+            db.session.add(
+                SavedAnalysis(
+                    owner_id=user.id,
+                    name=name,
+                    collection="Effort investigation",
+                    query=preset["query"],
+                    pinned=True,
+                    position=position,
+                    width="half",
+                    view="chart",
+                    notes="Synthetic preview data.",
+                )
+            )
     db.session.commit()
 
 # Test-only auto-login, isolated to this ephemeral process/database.