Refactor chart x-axis configuration in report generation to improve tick interval handling. Introduce a new function for dynamic tick configuration based on time range, enhancing clarity in chart displays. Update related chart layout settings for better date formatting.

src/reporting/docx_sections.py

@@ -76,6 +76,24 @@ def _chart_xaxis_range(time_values: np.ndarray) -> tuple[pd.Timestamp, pd.Timest
 	return x_min - padding, x_max + padding
 
 
+def _chart_xaxis_tick_config(
+	x_min: pd.Timestamp,
+	x_max: pd.Timestamp,
+	max_ticks: int = 6,
+) -> tuple[int, str]:
+	span_minutes = max(1.0, (x_max - x_min).total_seconds() / 60.0)
+	nice_intervals_min = (1, 2, 5, 10, 15, 30, 60, 120, 180, 240, 360, 720, 1440)
+
+	dtick_min = nice_intervals_min[-1]
+	for interval in nice_intervals_min:
+		if span_minutes / interval <= max_ticks:
+			dtick_min = interval
+			break
+
+	tickformat = "%H:%M" if x_min.date() == x_max.date() else "%d-%m-%Y %H:%M"
+	return dtick_min * 60 * 1000, tickformat
+
+
 def _build_current_vs_distance_chart(
 	lightning_df: pd.DataFrame,
 	dists_km: np.ndarray,
@@ -158,13 +176,7 @@ def _build_current_vs_distance_chart(
 
 	timezone_label = config.timezone or "UTC"
 	x_min, x_max = _chart_xaxis_range(time_values)
-	span_minutes = max(1.0, (x_max - x_min).total_seconds() / 60.0)
-	if span_minutes <= 15:
-		dtick = 60 * 1000
-	elif span_minutes <= 60:
-		dtick = 5 * 60 * 1000
-	else:
-		dtick = 10 * 60 * 1000
+	dtick, tickformat = _chart_xaxis_tick_config(x_min, x_max)
 
 	fig.update_layout(
 		font=dict(size=16),
@@ -179,7 +191,7 @@ def _build_current_vs_distance_chart(
 			gridcolor="lightgray",
 			zeroline=False,
 			range=[x_min, x_max],
-			tickformat="%d-%m-%Y %H:%M",
+			tickformat=tickformat,
 			dtick=dtick,
 			tickangle=-25,
 			tickfont=dict(size=22),