Add rainfall subplot and label NWS hero row with the actual hour

- src/ecowitt.py: HISTORY_FIELDS gains rain_in_hr (rainfall_piezo.rain_rate).
- app.py: include rainfall_piezo channel in the call_back; add 'Rainfall
rate' as a fourth metric (above humidity, between temperature and
humidity in the stacked plot). NWS doesn't expose rain rate so the
rainfall subplot shows Ecowitt past + Toto forecast only.
- src/weather_ui.py: hero second row now reads e.g. 'NWS forecast for
4 PM EDT' instead of 'this hour' so the comparison time is unambiguous.
- src/weather_ui.py: bump combined plot height 720 → 900 to fit 4 panels.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

app.py

@@ -42,9 +42,10 @@ CYCLE_CONFIG: dict[str, tuple[str, str, int]] = {
 HORIZON_CONFIG: dict[str, int] = {"24 h": 24, "48 h": 48, "72 h": 72}
 
 METRICS = [
-    {"col": "temp_f",        "title": "Outdoor temperature", "y": "°F",   "nws_col": "temp_f"},
-    {"col": "humidity",      "title": "Outdoor humidity",    "y": "%",    "nws_col": "humidity"},
-    {"col": "pressure_inhg", "title": "Barometric pressure", "y": "inHg", "nws_col": None},
+    {"col": "temp_f",        "title": "Outdoor temperature", "y": "°F",     "nws_col": "temp_f"},
+    {"col": "rain_in_hr",    "title": "Rainfall rate",       "y": "in/hr",  "nws_col": None},
+    {"col": "humidity",      "title": "Outdoor humidity",    "y": "%",      "nws_col": "humidity"},
+    {"col": "pressure_inhg", "title": "Barometric pressure", "y": "inHg",   "nws_col": None},
 ]
 
 
@@ -73,7 +74,10 @@ def fetch_history(cycle_type: str, resample: str, days: int) -> pd.DataFrame:
     cfg = ecowitt.EcowittConfig.from_env()
     end = datetime.now(timezone.utc).replace(tzinfo=None)
     start = end - timedelta(days=days)
-    raw = ecowitt.fetch_history(cfg, start, end, cycle_type=cycle_type, call_back="outdoor,pressure")
+    raw = ecowitt.fetch_history(
+        cfg, start, end, cycle_type=cycle_type,
+        call_back="outdoor,pressure,rainfall_piezo",
+    )
     return ecowitt.history_to_dataframe(raw, resample=resample)
 
 

src/ecowitt.py

@@ -32,6 +32,7 @@ HISTORY_FIELDS: dict[str, tuple[str, str]] = {
     "temp_f": ("outdoor", "temperature"),
     "humidity": ("outdoor", "humidity"),
     "pressure_inhg": ("pressure", "relative"),
+    "rain_in_hr": ("rainfall_piezo", "rain_rate"),
 }
 
 # Outdoor temp/humidity live under common.outdoor; pressure under pressure.

src/weather_ui.py

@@ -76,7 +76,11 @@ def hero_markdown(
     nws_short = ""
     glyph = "🌡"
     gap_str = ""
+    nws_hour_label = "this hour"
     if nws_first is not None and not nws_first.empty:
+        idx0 = nws_first.index[0] if isinstance(nws_first, pd.DataFrame) else nws_first.name
+        if isinstance(idx0, pd.Timestamp):
+            nws_hour_label = idx0.tz_convert(tz).strftime("%-I %p %Z")
         row = nws_first.iloc[0] if isinstance(nws_first, pd.DataFrame) else nws_first
         if isinstance(row, pd.Series):
             if "temp_f" in row and pd.notna(row["temp_f"]):
@@ -92,7 +96,7 @@ def hero_markdown(
         "| Source | Temperature |\n"
         "|---|---|\n"
         f"| 📡 Ecowitt (measured) | **{cur['temp_f']:.1f}°F** |\n"
-        f"| 🌎 NWS forecast for this hour | {nws_temp_str}{gap_str} |"
+        f"| 🌎 NWS forecast for {nws_hour_label} | {nws_temp_str}{gap_str} |"
     )
     return (
         f"### {glyph} {place}\n\n"
@@ -233,7 +237,7 @@ def combined_figure(
         showlegend = False  # only first subplot shows legend entries
 
     fig.update_layout(
-        height=720,
+        height=900,
         hovermode="x unified",
         margin=dict(l=50, r=20, t=50, b=40),
         legend=dict(orientation="h", yanchor="bottom", y=1.04, xanchor="right", x=1),