修改深色模式下结果图片显示异常

app/plots/plot_cct.py

@@ -4,6 +4,7 @@ Step 2 重构：从 pqAutomationApp.PQAutomationApp.plot_cct 原样搬迁。
 """
 
 import numpy as np
+from app.views.modern_styles import get_theme_palette
 
 from typing import TYPE_CHECKING
 
@@ -11,11 +12,36 @@ if TYPE_CHECKING:
     from pqAutomationApp import PQAutomationApp
 
 
+def _is_dark_palette(palette: dict[str, str]) -> bool:
+    """根据主题背景色亮度判断是否深色主题。"""
+    bg = palette.get("bg", "#FFFFFF").lstrip("#")
+    try:
+        r = int(bg[0:2], 16)
+        g = int(bg[2:4], 16)
+        b = int(bg[4:6], 16)
+    except Exception:
+        return False
+    return (r * 299 + g * 587 + b * 114) / 1000 < 128
+
+
 
 def plot_cct(self: "PQAutomationApp", test_type):
     """绘制 x 和 y 坐标分离图 - 每个点标注纵坐标值"""
+    palette = get_theme_palette()
+    dark_mode = _is_dark_palette(palette)
+    x_line_color = "#2F8BFF" if dark_mode else "#0A4BFF"
+    y_line_color = "#FF4D4D" if dark_mode else "#D90429"
+    ideal_line_color = "#00C853" if dark_mode else "#198754"
+    x_tol_color = "#FF7070" if dark_mode else "#C0392B"
+    y_tol_color = "#FFB74D" if dark_mode else "#D68910"
+    grid_color = "#566070" if dark_mode else "#B8BDC3"
+    axis_text = "#EDF2FA" if dark_mode else palette["fg"]
+    axis_sub_text = "#C8D2E0" if dark_mode else "#222222"
+    legend_bg = "#131821" if dark_mode else "#FFFFFF"
+    legend_edge = "#A4B2C6" if dark_mode else palette["border"]
 
     self.cct_fig.clear()
+    self.cct_fig.patch.set_facecolor(palette["bg"])
 
     gray_data = self.results.get_intermediate_data("shared", "gray")
     if not gray_data:
@@ -31,7 +57,7 @@ def plot_cct(self: "PQAutomationApp", test_type):
             ha="center",
             va="center",
             fontsize=14,
-            color="red",
+            color=palette["danger"],
         )
         ax.axis("off")
         self.cct_canvas.draw()
@@ -111,12 +137,20 @@ def plot_cct(self: "PQAutomationApp", test_type):
     # 为所有测试类型创建子图
     ax1 = self.cct_fig.add_subplot(211)
     ax2 = self.cct_fig.add_subplot(212)
+    for ax in (ax1, ax2):
+        ax.set_facecolor(palette["card_bg"])
+        for spine in ax.spines.values():
+            spine.set_color(palette["border"])
+        ax.tick_params(labelsize=8, colors=axis_sub_text)
+        ax.xaxis.label.set_color(axis_text)
+        ax.yaxis.label.set_color(axis_text)
 
     # ========== 上图：x coordinates ==========
     ax1.plot(
         grayscale,
         x_measured,
-        "b-o",
+        color=x_line_color,
+        marker="o",
         label="屏本体",
         linewidth=2,
         markersize=4,
@@ -133,13 +167,13 @@ def plot_cct(self: "PQAutomationApp", test_type):
             ha="center",
             va="bottom",
             fontsize=7,
-            color="blue",
+            color=x_line_color,
             bbox=dict(
                 boxstyle="round,pad=0.2",
-                facecolor="white",
-                edgecolor="blue",
-                alpha=0.8,
-                linewidth=0.5,
+                facecolor=palette["card_bg"],
+                edgecolor=x_line_color,
+                alpha=0.92 if dark_mode else 0.85,
+                linewidth=0.8,
             ),
         )
 
@@ -147,7 +181,7 @@ def plot_cct(self: "PQAutomationApp", test_type):
     full_grayscale = np.linspace(0, 100, 100)
     ax1.axhline(
         y=x_ideal,
-        color="green",
+        color=ideal_line_color,
         linestyle="--",
         linewidth=1.5,
         label=f"x-ideal ({x_ideal:.4f})",
@@ -155,30 +189,34 @@ def plot_cct(self: "PQAutomationApp", test_type):
     )
     ax1.axhline(
         y=x_low,
-        color="red",
+        color=x_tol_color,
         linestyle=":",
         linewidth=1,
-        alpha=0.7,
+        alpha=0.95 if dark_mode else 0.7,
         label=f"x-low ({x_low:.4f})",
         zorder=2,
     )
     ax1.axhline(
         y=x_high,
-        color="red",
+        color=x_tol_color,
         linestyle=":",
         linewidth=1,
-        alpha=0.7,
+        alpha=0.95 if dark_mode else 0.7,
         label=f"x-high ({x_high:.4f})",
         zorder=2,
     )
     ax1.fill_between(
-        full_grayscale, x_low, x_high, alpha=0.15, color="blue", zorder=1
+        full_grayscale,
+        x_low,
+        x_high,
+        alpha=0.22 if dark_mode else 0.15,
+        color=x_line_color,
+        zorder=1,
     )
 
-    ax1.set_xlabel("灰阶 (%)", fontsize=9)
-    ax1.set_ylabel("CIE x", fontsize=9)
-    ax1.grid(True, linestyle="--", alpha=0.3)
-    ax1.tick_params(labelsize=8)
+    ax1.set_xlabel("灰阶 (%)", fontsize=9, color=axis_text)
+    ax1.set_ylabel("CIE x", fontsize=9, color=axis_text)
+    ax1.grid(True, linestyle="--", alpha=0.45 if dark_mode else 0.3, color=grid_color)
     ax1.set_xlim(0, 105)
 
     # 纵坐标范围由用户参数控制
@@ -211,7 +249,8 @@ def plot_cct(self: "PQAutomationApp", test_type):
     ax2.plot(
         grayscale,
         y_measured,
-        "r-o",
+        color=y_line_color,
+        marker="o",
         label="屏本体",
         linewidth=2,
         markersize=4,
@@ -228,19 +267,19 @@ def plot_cct(self: "PQAutomationApp", test_type):
             ha="center",
             va="bottom",
             fontsize=7,
-            color="red",
+            color=y_line_color,
             bbox=dict(
                 boxstyle="round,pad=0.2",
-                facecolor="white",
-                edgecolor="red",
-                alpha=0.8,
-                linewidth=0.5,
+                facecolor=palette["card_bg"],
+                edgecolor=y_line_color,
+                alpha=0.92 if dark_mode else 0.85,
+                linewidth=0.8,
             ),
         )
 
     ax2.axhline(
         y=y_ideal,
-        color="green",
+        color=ideal_line_color,
         linestyle="--",
         linewidth=1.5,
         label=f"y-ideal ({y_ideal:.4f})",
@@ -248,30 +287,34 @@ def plot_cct(self: "PQAutomationApp", test_type):
     )
     ax2.axhline(
         y=y_low,
-        color="orange",
+        color=y_tol_color,
         linestyle=":",
         linewidth=1,
-        alpha=0.7,
+        alpha=0.95 if dark_mode else 0.7,
         label=f"y-low ({y_low:.4f})",
         zorder=2,
     )
     ax2.axhline(
         y=y_high,
-        color="orange",
+        color=y_tol_color,
         linestyle=":",
         linewidth=1,
-        alpha=0.7,
+        alpha=0.95 if dark_mode else 0.7,
         label=f"y-high ({y_high:.4f})",
         zorder=2,
     )
     ax2.fill_between(
-        full_grayscale, y_low, y_high, alpha=0.15, color="orange", zorder=1
+        full_grayscale,
+        y_low,
+        y_high,
+        alpha=0.22 if dark_mode else 0.15,
+        color=y_tol_color,
+        zorder=1,
     )
 
-    ax2.set_xlabel("灰阶 (%)", fontsize=9)
-    ax2.set_ylabel("CIE y", fontsize=9)
-    ax2.grid(True, linestyle="--", alpha=0.3)
-    ax2.tick_params(labelsize=8)
+    ax2.set_xlabel("灰阶 (%)", fontsize=9, color=axis_text)
+    ax2.set_ylabel("CIE y", fontsize=9, color=axis_text)
+    ax2.grid(True, linestyle="--", alpha=0.45 if dark_mode else 0.3, color=grid_color)
     ax2.set_xlim(0, 105)
 
     # 纵坐标范围由用户参数控制
@@ -307,6 +350,7 @@ def plot_cct(self: "PQAutomationApp", test_type):
         fontsize=12,
         y=0.98,
         fontweight="bold",
+        color=palette["fg"],
     )
 
     self.cct_fig.subplots_adjust(
@@ -317,12 +361,25 @@ def plot_cct(self: "PQAutomationApp", test_type):
         hspace=0.30,
     )
 
-    ax1.legend(
-        fontsize=7, loc="center left", bbox_to_anchor=(1.05, 0.5), framealpha=1.0
+    legend1 = ax1.legend(
+        fontsize=7,
+        loc="center left",
+        bbox_to_anchor=(1.05, 0.5),
+        framealpha=0.92 if dark_mode else 1.0,
+        facecolor=legend_bg,
+        edgecolor=legend_edge,
     )
-    ax2.legend(
-        fontsize=7, loc="center left", bbox_to_anchor=(1.05, 0.5), framealpha=1.0
+    legend2 = ax2.legend(
+        fontsize=7,
+        loc="center left",
+        bbox_to_anchor=(1.05, 0.5),
+        framealpha=0.92 if dark_mode else 1.0,
+        facecolor=legend_bg,
+        edgecolor=legend_edge,
     )
+    for legend in (legend1, legend2):
+        for text in legend.get_texts():
+            text.set_color(axis_text)
 
     self.cct_canvas.draw()
     self.chart_notebook.select(self.cct_chart_frame)