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calibre.lua

@@ -0,0 +1,75 @@
+#!/usr/bin/env luajit
+
+math.randomseed(os.time())
+
+local books = {
+  read = 514,
+  unread = 2682,
+  per_calibre_page = 6,
+}
+books.total = books.read + books.unread
+
+local ratings = {
+  47, 51, 84, 76, 31
+}
+local average_rating = (function()
+  local count, rating = 0, 0
+  for i = 1, #ratings do
+    count = count + ratings[i]
+    rating = rating + ratings[i] * i
+  end
+  return rating / count
+end)()
+
+-- based on StoryGraph read, to-read, dnf, and owned stats
+books.average_page_count = (90487 + 146938 + 14796 + 145380) / (434 + 419 + 59 + 668)
+-- at time of coding, this estimated 113492 pages read, instead of the 90487 I actually read
+-- this also doesn't have any way to account for many of those pages being not ebooks
+-- so I'm adding an adjustment factor here to make estimates more accurate:
+books.average_page_count = books.average_page_count / (113492/90487)
+-- according to StoryGraph, 75% of my reading is ebooks, so I'm adding another adjustment:
+books.average_page_count = books.average_page_count * 0.75
+-- the calculated number here now PERFECTLY matches my read pages on StoryGraph, despite 17% print books..
+-- so I guess I should do one more adjustment!
+books.average_page_count = books.average_page_count * (1 - 0.17)
+
+local function to_calibre_pages(count)
+  return math.ceil(count / books.per_calibre_page)
+end
+
+local calibre_pages = {
+  total = to_calibre_pages(books.total),
+  read = to_calibre_pages(books.read),
+  unread = to_calibre_pages(books.unread),
+}
+local calibre_links = {
+  total = "https://calibre.tangentfox.com/page/",
+  read = "https://calibre.tangentfox.com/read/stored/1/",
+  unread = "https://calibre.tangentfox.com/unread/stored/1/",
+}
+
+local function open_random_links(_type, count)
+  for i = 1, count do
+    local page_number = math.random(calibre_pages[_type])
+    os.execute("open \"" .. calibre_links[_type] .. page_number .. "\"")
+    os.execute("sleep 1")
+  end
+end
+
+local function estimate_pages(count)
+  return math.floor(books.average_page_count * count)
+end
+
+print(books.total .. " books: " .. books.read .. " read (" .. string.format("%.2f", books.read / books.total * 100) .. "%), " .. books.unread .. " unread. Average rating: " .. string.format("%.2f", average_rating))
+-- print("Calibre pages: " .. calibre_pages.total .. " pages. " .. calibre_pages.read .. " read pages, " .. calibre_pages.unread .. " unread pages.")
+print("Estimated pages: " .. estimate_pages(books.total) .. " total, " .. estimate_pages(books.read) .. " read, " .. estimate_pages(books.unread) .. " unread.")
+print("")
+-- 2025's reading rate is 115.792 pages/day. Some pages are double-counted though, so I presume the 100/day rate is correct.
+-- 2024's reading rate was 83.485 pages/day. Some were double-counted, and only part of the year is when I set a 100/day goal average.
+print("In theory, it will take " .. string.format("%.1f", estimate_pages(books.unread) / 100 / 365) .. " years to read all unread books.")
+print(" (Between " .. string.format("%.1f", estimate_pages(books.unread) / 116 / 365) .. " and " .. string.format("%.1f", estimate_pages(books.unread) / 83 / 365) .. " years.)")
+print("")
+print("Press enter to open 9 random pages on Calibre. :D Or close this window / Ctrl+C to skip that.")
+io.read("*line")
+
+open_random_links("unread", 9)