Write sentinal file to help with freshness check. Add minutes of duration in STOQS link text.

.vscode/launch.json

@@ -502,10 +502,11 @@
             // Test a month with fewer plots to make
             //"args": ["--auv_name", "daphne", "--start", "20260101", "--end", "20260131", "-v", "2", "--clobber"]
             // Test pyxis and cbit_amphoursused plot
-            "args": ["--auv_name", "pyxis", "--start", "20260501", "--end", "20260531", "-v", "1", "--clobber"]
+            //"args": ["--auv_name", "pyxis", "--start", "20260501", "--end", "20260531", "-v", "1", "--clobber"]
             // Test --current_month
-            //"args": ["--current_month", "-v", "1"]
-            // Test reading downwelling_photosynthetic_photon_flux_in_sea_water from the root group of the netCDF file instead of the instrument group, which was the case for some early daphne log files
+            "args": ["--current_month", "-v", "1"]
+            // Test reading downwelling_photosynthetic
+            // _photon_flux_in_sea_water from the root group of the netCDF file instead of the instrument group, which was the case for some early daphne log files
             //"args": ["--auv_name", "daphne", "--start", "20260501", "--end", "20260531", "-v", "1", "--clobber"]
         },
         {

src/data/lrauv_deployment_plots.py

@@ -837,6 +837,13 @@ def _duration_min_from_nc_url(self, nc_url: str) -> int | None:
         except ValueError:
             return None
 
+    def _resolve_dur_min(self, nc_url: str, nc_durations: dict[str, int] | None) -> int | None:
+        """Return duration in minutes for nc_url, trying filename parse then nc_durations."""
+        d = self._duration_min_from_nc_url(nc_url)
+        if d is None and nc_durations:
+            d = nc_durations.get(nc_url)
+        return d
+
     def _per_log_png_links(self, nc_urls: list[str]) -> list[tuple[str, str]]:
         """Return (url, label) pairs for each existing per-log PNG."""
         parts: list[tuple[str, str]] = []
@@ -858,6 +865,7 @@ def _write_per_png_html(  # noqa: C901, PLR0913
         auv_name: str = "",
         png_file_path: Path | None = None,
         other_png_paths: list[str] | None = None,
+        nc_durations: dict[str, int] | None = None,
     ) -> None:
         """Write a plain HTML page for one deployment PNG.
 
@@ -895,7 +903,7 @@ def _write_per_png_html(  # noqa: C901, PLR0913
                     (
                         d
                         for nc_url in nc_urls
-                        if (d := self._duration_min_from_nc_url(nc_url)) is not None
+                        if (d := self._resolve_dur_min(nc_url, nc_durations)) is not None
                     ),
                     None,
                 )

src/data/process_lrauv_sbd.py

@@ -201,12 +201,10 @@ def _make_per_log_plots(
 ) -> None:
     """Create per-log plots for each shore_1S.nc in month_files."""
     for p in month_files:
-        out_png = p.parent / f"shore_{FREQ}_2column_cmocean.png"
-        if out_png.exists() and not args.clobber:
-            if p.stat().st_mtime <= out_png.stat().st_mtime:
-                logger.info(
-                    "Per-log plot up to date, skipping: %s", _rel(out_png, args.vehicle_dir)
-                )
+        sentinel = p.parent / f"shore_{FREQ}.plotted"
+        if sentinel.exists() and not args.clobber:
+            if p.stat().st_mtime <= sentinel.stat().st_mtime:
+                logger.info("Per-log plots up to date, skipping: %s", _rel(p, args.vehicle_dir))
                 continue
             logger.info("shore_1S.nc is newer — replotting: %s", _rel(p, args.vehicle_dir))
         else:
@@ -231,6 +229,7 @@ def _make_per_log_plots(
                 cp.plot_cbit_2column()
         except Exception as e:  # noqa: BLE001
             logger.warning("Per-log plot failed for %s: %s", p.name, e)
+        sentinel.touch()
 
 
 def _make_products(
@@ -302,6 +301,14 @@ def _make_products(
         html_title = f"Interpolated realtime SBD data for {args.auv_name} in {month_year}"
 
         nc_file_strs = [_to_opendap_url(p, args.vehicle_dir) for p in month_files]
+        nc_durations: dict[str, int] = {}
+        for p, url in zip(month_files, nc_file_strs, strict=True):
+            with xr.open_dataset(p) as d:
+                times = d.cf["time"].to_numpy()
+                if len(times) > 1:
+                    nc_durations[url] = int(
+                        (times[-1] - times[0]).astype("timedelta64[m]").astype(int)
+                    )
         html_paths = []
         for png_path in png_paths:
             html_path = png_path.with_suffix(".html")
@@ -316,6 +323,7 @@ def _make_products(
                 auv_name=args.auv_name,
                 png_file_path=png_path,
                 other_png_paths=other_pngs,
+                nc_durations=nc_durations,
             )
             html_paths.append(html_path)