Files
llm-tricks/synopsis_generator.lua
T
2026-09-14 19:08:49 -06:00

127 lines
4.6 KiB
Lua
Executable File

#!/usr/bin/env luajit
package.path = (arg[0]:match("@?(.*/)") or arg[0]:match("@?(.*\\)")) .. "lib" .. package.config:sub(1, 1) .. "?.lua;" .. package.path
local utility = require "utility"
local json = utility.require("dkjson")
local prompts = utility.require("prompts")
local text_processing = utility.require("text_processing")
local model = "gemma4:12b-mlx"
local minimum_bytes = 1000
local maximum_bytes = 40000
local files
if utility.path_exists("PRIVATE_DATA/file_list.json") then
files = utility.load_data("PRIVATE_DATA/file_list.json")
else
files = {}
end
local refresh_file_list = function()
local new_files_list = {}
utility.tree("PRIVATE_DATA/notebook", {
blacklist = utility.enumerate{ ".git", ".gitattributes", ".gitignore", ".gitkeep", ".DS_Store", },
extension_blacklist = utility.enumerate{ "gif", "jpg", "jpeg", "mp4", "pdf", "png", "webp", },
}, function(file_name)
new_files_list[#new_files_list + 1] = file_name
end)
files = new_files_list
utility.save_data(new_files_list, "PRIVATE_DATA/file_list.json")
end
local generate_and_score = function(file_name, text)
print("Writing synopsis...")
local synopsis = utility.llm_prompt(prompts.synopsis_prompt .. text, model)
print(synopsis)
print("Scoring synopsis...")
local scoring, thinking = utility.llm_prompt(prompts.scoring_prompt .. synopsis, model)
print(scoring)
local scoring_decoded = json.decode(scoring) -- likely will not work because it consistently returns Markdown instead of JSON
if not scoring_decoded then
scoring_decoded = json.decode(text_processing.strip_markdown_codeblock(scoring))
end
local object = {
synopsis = synopsis,
scoring = scoring_decoded or scoring, -- either the correct values or a string of output that isn't JSON
thinking = thinking,
}
utility.save_data(object, "PRIVATE_DATA/synopses/" .. utility.uuid() .. ".json")
end
os.execute("mkdir -p PRIVATE_DATA/synopses")
if arg[1] == "refresh_file_list" then
print("Refresing file list...")
refresh_file_list()
end
if arg[1] == "export_ordered_list_of_prompts" then
local path = "PRIVATE_DATA/synopses"
local items = {}
local item_order = {}
utility.list(path, function(path_name)
local full_path = path .. utility.path_separator .. path_name
if path_name:find("%.json") then
local object = utility.load_data(full_path)
items[path_name] = object
if type(object.scoring) == "table" then
local s = object.scoring
local total_score = s.conflict_potential + s.emotional_potential + s.character_potential + s.worldbuilding_potential + s.expansion_potential + s.overall_promise + s.memorability + s.originality + s.curiosity + s.hook
item_order[#item_order + 1] = { path_name = path_name, total_score = total_score, }
end
end
end)
table.sort(item_order, function(A,B) return A.total_score > B.total_score end)
-- for k,v in pairs(item_order) do print(v.path_name,v.total_score) end
local output = {
"---",
"title: Ordered Synopses (" .. #item_order .. " items)",
"author: [\"Gemma4:12b-mlx\", \"Tangent\", \"Ollama\"]",
"publisher: Tangent",
"---",
"",
}
for _, v in pairs(item_order) do
local item = items[v.path_name]
local text = item.synopsis
local tab = text:split("\n")
for index, line in ipairs(tab) do
if line:sub(1, 1) == "#" then
tab[index] = "#" .. tab[index]
end
end
-- output[#output + 1] = "# " .. v.path_name .. " (" .. v.total_score .. ")\n\n" .. item.synopsis .. "\n"
output[#output + 1] = "# " .. v.path_name .. " (" .. v.total_score .. ")\n\n" .. table.concat(tab, "\n") .. "\n"
output[#output + 1] = "## Scoring\n\n```json\n" .. json.encode(item.scoring, { indent = true, }) .. "\n```\n"
end
utility.write_file("PRIVATE_DATA/Ordered Synopses.md", table.concat(output, "\n"))
os.execute("pandoc \"PRIVATE_DATA/Ordered Synopses.md\" -o \"PRIVATE_DATA/Ordered Synopses.epub\"")
os.exit(0)
end
print(#files .. " files to select from.")
if #files == 0 then
print("Run \"./synopsis_generator.lua refresh_file_list\" first.")
os.exit(1)
end
while true do
print("Selecting a file...")
local file_name = files[math.random(1, #files)]
local file_size = utility.file_size(file_name)
if file_size > minimum_bytes and file_size <= maximum_bytes then
local text = utility.read_file(file_name)
text = text_processing.strip_frontmatter(text)
if #text > minimum_bytes and #text <= maximum_bytes then
print(file_name .. " chosen.")
generate_and_score(file_name, text) -- kind of the main function, innit?
-- os.exit(0)
end
end
end