category axis and shapes not playing well when data representing numbers and xref = "x"

Providing a list of strings representing numbers for category axis converts them to number rather than keeping them as strings.
This for me results in the inability to use shapes to shade part of the graph.

Example of what is not working:

library(plotly)

# Sample data
x <- c("1234", "2345", "3456", "4567")
y <- c(10, 15, 8, 12)

# Create a Plotly chart with a bar plot
fig <- plot_ly(x = ~x, y = ~y)

# Define a rectangle shape
shapes <- list(
  list(
    type = "rect",
    line = list(color = "red"),
    x0 = "1234", x1 = "2345",
    y0 = 0, y1 = 1,
    xref = "x",
    yref = "paper"
  )
)

# Add the rectangle shape to the layout
fig <- fig %>% layout(
  title = 'Highlighting with Lines', 
  xaxis = list(
    type = 'category',
    autotypenumbers = 'strict'
  ),
  shapes = shapes
)

# Display the chart
fig

Example of what is working:

library(plotly)

# Sample data
x <- c("#1234", "#2345", "#3456", "#4567")
y <- c(10, 15, 8, 12)

# Create a Plotly chart with a bar plot
fig <- plot_ly(x = ~x, y = ~y)

# Define a rectangle shape
shapes <- list(
  list(
    type = "rect",
    line = list(color = "red"),
    x0 = "#1234", x1 = "#2345",
    y0 = 0, y1 = 1,
    xref = "x",
    yref = "paper"
  )
)

# Add the rectangle shape to the layout
fig <- fig %>% layout(
  title = 'Highlighting with Lines', 
  xaxis = list(
    type = 'category',
    autotypenumbers = 'strict'
  ),
  shapes = shapes
)

# Display the chart
fig

首先运行随附的 R 复现代码，使用 plot_ly() 和 layout()，比较看起来像数字的类别标签与前缀为 '#' 的正常标签。跟踪 xaxis type='category' 和 autotypenumbers='strict' 如何分别处理条形数据以及带有 xref='x' 的 shapes；完成标准是看起来像数字的字符串仍保持为类别，并且矩形覆盖预期的类别。