library(dplyr)
library(readr)
library(tidyr)
library(forcats)
library(ggplot2)
theme_set(theme_bw())

timings <- read_csv("n1_timings.csv") %>%
  mutate(paper = fct_rev(factor(paper, levels=paper)))

timings_long_period1 <- timings %>%
  pivot_longer(c(start, end), names_to="type", values_to="x")

timings_long_period2 <- timings %>%
  pivot_longer(c(period2_start, period2_end), names_to="type", values_to="x")

timing_pl <- timings_long_period1 %>%
  ggplot() +
  geom_rect(
    aes(xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax),
    fill="steelblue3", alpha=0.3,
    data=tibble(xmin=120, xmax=200, ymin=-Inf, ymax=Inf)
  ) +
  geom_line(aes(x = x, y = paper), linewidth=4) +
  geom_line(aes(x = x, y = paper), linewidth=4, data=timings_long_period2, colour="grey60") +
  labs(
    x = "Latency (ms)",
    y = NULL
  ) +
  scale_x_continuous(breaks = seq(120, 270, 20))

ggsave("n1_timing.png", timing_pl, width=6.5, height=3.25, device="png", type="cairo", dpi=600)
ggsave("n1_timing.pdf", timing_pl, width=6.5, height=3.25, device="pdf")