From 7d166644db70d1412b1bea35e203d638cd79c9e7 Mon Sep 17 00:00:00 2001
From: Steve Pothier <pothiers@gmail.com>
Date: Fri, 27 Dec 2024 16:50:56 -0700
Subject: [PATCH] DM-48131 add time-loss from narrativelog API

---
 notebooks_tsqr/dashboard.ipynb                   |  8 ++++++++
 .../lsst/ts/logging_and_reporting/all_sources.py | 16 ++++++++++++++--
 2 files changed, 22 insertions(+), 2 deletions(-)

diff --git a/notebooks_tsqr/dashboard.ipynb b/notebooks_tsqr/dashboard.ipynb
index e52e431..c8ce831 100644
--- a/notebooks_tsqr/dashboard.ipynb
+++ b/notebooks_tsqr/dashboard.ipynb
@@ -149,6 +149,14 @@
    "source": [
     "print(f\"Finished {str(datetime.now())}\")"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "13",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
diff --git a/python/lsst/ts/logging_and_reporting/all_sources.py b/python/lsst/ts/logging_and_reporting/all_sources.py
index 999c557..1496020 100644
--- a/python/lsst/ts/logging_and_reporting/all_sources.py
+++ b/python/lsst/ts/logging_and_reporting/all_sources.py
@@ -258,8 +258,20 @@ def night_tally_observation_gaps(self, verbose=False):
             # These need join between exposures and messages.
             # But in messages, they aren't reliable numbers anyhow.
             # TODO despite unreliability, use messages values.
-            loss_fault = pd.NA  # hours
-            loss_weather = pd.NA  # hours
+            ltypes = set([r["time_lost_type"] for r in self.nar_src.records])
+            ltime = defaultdict(int)
+            for t in ltypes:
+                for r in self.nar_src.records:
+                    ltime[t] += r["time_lost"]
+            if "fault" in ltypes:
+                loss_fault = ltime["fault"]  # hours
+            else:
+                loss_fault = pd.NA  # hours
+
+            if "weather" in ltypes:
+                loss_weather = ltime["weather"]  # hours
+            else:
+                loss_weather = pd.NA  # hours
 
             used_hours = exposure_hours + readout_hours
             if pd.notna(slew_hours):