make_data_for_plots.R

# Copyright (C) 2020-2024 Martin Edström

# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.

# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.

# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.

# ------------------------------------------------------------------------

source("init.R")

if (!"weight_dataset" %in% ls()) {
  stop("Please define weight_dataset via elisp ess-execute")
}

if (!"mood_dataset" %in% ls()) {
  stop("Please define mood_dataset via elisp ess-execute")
}

# Projected daily weight loss. Sobering to see how slow the result...
daily_change <- -0.1

if (!dir.exists("/tmp/eva"))
  dir.create("/tmp/eva")

wt <- read_tsv(weight_dataset,
               col_names = c("posted", "weighed", "weight_kg")) %>%
  mutate(weighed = as_date(weighed)) %>%
  select(-posted) %>%
  write_delim("/tmp/eva/weight.dat", col_names = FALSE)

projected_wt <-
  tibble(weight_kg = seq(from = tail(wt$weight_kg, 1),
                         to = 60,
                         by = daily_change)) %>%
  mutate(weighed = today() + days(row_number())) %>%
  select(weighed, weight_kg) %>%
  write_delim("/tmp/eva/weight_projected.dat", col_names = FALSE)

# --------------

mood <- read_tsv(mood_dataset,
                 col_names = c("posted", "time", "mood_score", "mood_desc")) %>%
  mutate(time = as_datetime(time)) %>%
  drop_na(mood_score) %>%
  select(-posted) %>%
  write_delim("/tmp/eva/mood.dat", col_names = FALSE)

mood$mood_desc %>%
  write_lines("/tmp/eva/mood_desc.txt")