refactor(app): update font setting and encoding functions

- Remove the font setting code for "Arial Unicode MS" in matplotlib as it may no longer be
necessary or has been changed.
- Comment out the base64 encoding function that was previously used for token generation,
indicating it's no longer in use but not deleting it in case it's needed later.
- Simplify the binary list to base64 string conversion logic.
- Adjust the function comments to reflect the changes made in the encoding functions.
- Reorder the plot library preference in `process_data` function parameters.
- Update the text wrapping and cell text property setting in `generate_img_by_matplotlib`
to improve code readability and maintainability.
- Swap the default selection of the plot library radio button to prefer "plotly" over
"matplotlib".

This change ensures consistency and potentially improves performance by removing or
simplifying unused or inefficient code sections. It also prioritizes the use of "plotly"
over "matplotlib" as the preferred plotting library.

app.py

@@ -25,23 +25,6 @@ columns_with_tasks = [
     "color6",
 ]
 PLANTS = list(df["plant"].unique())
-# 更改字体设置
-# rc("font", family="Arial Unicode MS")
-
-# def decimal2base64(decimal_int):
-#     # 定义 64 进制字符集
-#     base64_chars = "0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ"
-
-#     if decimal_int == 0:
-#         return "0"
-
-#     base64_str = ""
-#     while decimal_int > 0:
-#         remainder = decimal_int % 64
-#         base64_str = base64_chars[remainder] + base64_str
-#         decimal_int //= 64
-
-#     return base64_str
 
 
 def bin_ls2base64(ls):
@@ -55,8 +38,8 @@ def bin_ls2base64(ls):
 
 
 def base64_to_binary(base64_str):
+    # 将base64字符串转换为二进制字符串
     if isinstance(base64_str, str):
-        # 将base64字符串转换为二进制列表
         byte_str = base64.b64decode(base64_str)
         binary_str = bin(int.from_bytes(byte_str, byteorder="big"))[2:].zfill(
             len(columns_with_tasks) * len(PLANTS)
@@ -85,7 +68,7 @@ def parse_token(token):
         print(e)
 
 
-# 定义一个简单的函数，模拟接收DataFrame数据
+# 定义一个简单的函数，接收DataFrame数据
 def process_data(*args):
     plot_library = args[-1]
     almanac_dict = dict(zip(PLANTS, args[:-1]))
@@ -107,7 +90,7 @@ def process_data(*args):
             almanac_df.loc[almanac_df["plant"] == pl, columns_with_tasks[i]] = "✔"
 
     almanac_reverse_64 = bin_ls2base64(reversed(almanac_bin_ls))
-    # 这里可以添加处理DataFrame的逻辑
+
     return (
         (
             generate_img_by_plotly(almanac_df.drop(columns=df.columns[0]))
@@ -143,6 +126,9 @@ def show_checkbox_groups(token):
     return checklist_inputs
 
 
+"""使用matplotlib生成图片"""
+
+
 def wrap_text(text, max_width=20):
     """Manually wrap text based on max_width (character count)"""
     wrapped_lines = []
@@ -184,8 +170,9 @@ def generate_img_by_matplotlib(df):
         if cell.get_text().get_text() == "nan":
             cell.set_text_props(text="", ha="center")
         if row == 0:
+            text = cell.get_text().get_text()
             cell.set_text_props(
-                weight="bold", ha="center"
+                text=text, weight="bold", ha="center"
             )  # Bold and center-align header text
         if col == 0:
             text = cell.get_text().get_text()
@@ -220,6 +207,9 @@ def generate_img_by_matplotlib(df):
     return image
 
 
+"""使用plotly生成图片"""
+
+
 def color_mapping(color):
     color_hex = {
         "turquoise": "#28b6aa",
@@ -373,9 +363,9 @@ with gr.Blocks() as app:
         """
     )
     plot_library = gr.Radio(
-        ["matplotlib", "plotly"],
+        ["plotly", "matplotlib"],
         label="Plot Library",
-        value="matplotlib",
+        value=""plotly",
         info="Choose your plot library",
     )
 
@@ -407,12 +397,6 @@ with gr.Blocks() as app:
         outputs=checklist_inputs,
     )
 
-    # generate_button.click(
-    #     generate_img,
-    #     inputs=[df_out],
-    #     outputs=[generated_img],
-    # )
-
 
 app.queue()
 app.launch()