sfm/report_pdf.py

@@ -638,14 +638,7 @@ def _draw_channel_stats_waveform(ax, rd: ReportData) -> None:
         ("Sensor Check",         "sensor_check",   ""),
     ]
     _draw_stats_table(ax, rd, rows_spec)
-    if rd.peak_vector_sum_ips is not None:
-        line = f"Peak Vector Sum   {rd.peak_vector_sum_ips:.3f} in/s"
-        if rd.peak_vector_sum_time_s is not None:
-            line += f" At {rd.peak_vector_sum_time_s:.3f} sec."
-        ax.text(0.0, -0.08, line, fontsize=9, weight="bold",
-                ha="left", va="top", transform=ax.transAxes)
-        ax.text(0.0, -0.18, "NA: Not Applicable", fontsize=7, color="#888",
-                ha="left", va="top", transform=ax.transAxes)
+    _draw_pvs_summary(ax, rd, n_data_rows=len(rows_spec))
 
 
 def _draw_channel_stats_histogram(ax, rd: ReportData) -> None:
@@ -663,20 +656,54 @@ def _draw_channel_stats_histogram(ax, rd: ReportData) -> None:
         ("Sensor Check", "sensor_check",    ""),
     ]
     _draw_stats_table(ax, rd, rows_spec)
-    if rd.peak_vector_sum_ips is not None:
-        line = f"Peak Vector Sum   {rd.peak_vector_sum_ips:.3f} in/s"
-        # Histograms: "0.091 in/s on May 27, 2026 At 06:06:14"
-        # The when_str is "HH:MM:SS Month DD, YYYY" — reformat for BW match.
-        if rd.peak_vector_sum_when_str:
-            parts = rd.peak_vector_sum_when_str.split(" ", 1)
-            if len(parts) == 2:
-                line += f" on {parts[1]} At {parts[0]}"
-            else:
-                line += f" on {rd.peak_vector_sum_when_str}"
-        ax.text(0.0, -0.08, line, fontsize=9, weight="bold",
-                ha="left", va="top", transform=ax.transAxes)
-        ax.text(0.0, -0.18, "NA: Not Applicable", fontsize=7, color="#888",
-                ha="left", va="top", transform=ax.transAxes)
+    _draw_pvs_summary(ax, rd, n_data_rows=len(rows_spec), histogram_when=True)
+
+
+def _draw_pvs_summary(
+    ax,
+    rd: ReportData,
+    *,
+    n_data_rows: int,
+    histogram_when: bool = False,
+) -> None:
+    """Render the Peak Vector Sum + 'NA: Not Applicable' caption below the
+    stats table.
+
+    Reads ``ax._stats_table_bottom`` (set by ``_draw_stats_table`` when
+    it pins the table via an explicit ``bbox``) so the PVS line lands
+    just below the table's known bottom edge instead of guessing at the
+    geometry.
+
+    Centered horizontally for visual balance (the previous left-aligned
+    x=0 landed under the label column, not the data, which looked off).
+    """
+    if rd.peak_vector_sum_ips is None:
+        return
+
+    line = f"Peak Vector Sum   {rd.peak_vector_sum_ips:.3f} in/s"
+    if histogram_when and rd.peak_vector_sum_when_str:
+        # Histogram absolute date+time.  when_str is "HH:MM:SS Month DD, YYYY";
+        # reformat to "<value> on <date> At <time>" to match BW.
+        parts = rd.peak_vector_sum_when_str.split(" ", 1)
+        if len(parts) == 2:
+            line += f" on {parts[1]} At {parts[0]}"
+        else:
+            line += f" on {rd.peak_vector_sum_when_str}"
+    elif not histogram_when and rd.peak_vector_sum_time_s is not None:
+        line += f" At {rd.peak_vector_sum_time_s:.3f} sec."
+
+    # _draw_stats_table stashes the bbox bottom on the axes so we don't
+    # have to guess geometry.  Falls back to a conservative default if
+    # the bbox approach hasn't run.
+    table_bottom_y = getattr(ax, "_stats_table_bottom", -0.10)
+    pvs_y = table_bottom_y - 0.04   # small gap below the table border
+
+    # Centered for visual balance — looks intentional rather than offset.
+    # The original BW-replica had a "NA: Not Applicable" caption below
+    # this line; dropped because we use "—" for missing values and the
+    # legend was always squished against the PVS line.
+    ax.text(0.5, pvs_y, line, fontsize=9, weight="bold",
+            ha="center", va="top", transform=ax.transAxes)
 
 
 def _draw_stats_table(ax, rd: ReportData, rows_spec: list[tuple[str, str, str]]) -> None:
@@ -711,16 +738,28 @@ def _draw_stats_table(ax, rd: ReportData, rows_spec: list[tuple[str, str, str]])
             _cell(field_name, "Long"),
             unit,
         ])
+    # Pin the table's position+size via bbox so we know exactly where
+    # the bottom edge lands.  Lets _draw_pvs_summary place the PVS line
+    # just below the table without guessing at row heights.
+    #
+    # bbox = [x, y, width, height] in axes coords.  Header + data rows
+    # at row_h each; horizontal extent matches sum(colWidths).
+    n_rows = len(table_data)        # header + data rows
+    row_h  = 0.12                   # axes-fraction per row (fits fontsize=8)
+    table_height = n_rows * row_h
+    table_bottom = 1.0 - table_height
     tbl = ax.table(
-        cellText=table_data, loc="upper left",
+        cellText=table_data,
         colWidths=[0.28, 0.14, 0.14, 0.14, 0.10],
         cellLoc="left", edges="open",
+        bbox=[0.0, table_bottom, 0.80, table_height],
     )
     tbl.auto_set_font_size(False)
     tbl.set_fontsize(8)
-    tbl.scale(1, 1.4)
     for j in range(5):
         tbl[(0, j)].set_text_props(weight="bold", color="#555")
+    # Stash the bottom Y so _draw_pvs_summary can position itself below.
+    ax._stats_table_bottom = table_bottom
 
 
 def _channel_axis_color(ch: str) -> str: