How To Call It
Regex is a global table: call its functions with a dot (Regex.<method>(...)), not a colon.
Replaces every match and returns the new text.
Documented for app version 1.0.51Updated:
Regex is a global table: call its functions with a dot (Regex.<method>(...)), not a colon.
In data flow, chaining JSON, Regex, Str, Map, and File steps to normalize intermediate values reduces error risk.
Required: pattern, text, replacement. Returns a string.
When combined with Str, JSON, Regex, Array, Map, and File, data transformation becomes much more readable in script flow.
The snippet below is a starter pattern that can be applied directly in runtime flow.
local result = Regex.replace("[0-9]+", "Level 12, stage 3", "#")From foundation to combined usage, each level is provided as a separate code block so you can copy the level you need and adapt it directly.
local result = Regex.replace("[0-9]+", "Level 12, stage 3", "#")local stepOk = true
local result = Regex.replace("[0-9]+", "Level 12, stage 3", "#")
if stepOk then
wait(200)
endlocal ok, err = pcall(function()
local result = Regex.replace("[0-9]+", "Level 12, stage 3", "#")
end)
if not ok then
print("API step failed: Regex.replace: " .. tostring(err))
requestStop()
end-- In data flow, chaining JSON, Regex, Str, Map, and File steps to normalize intermediate values reduces error risk.
local function run_replace_step()
local result = Regex.replace("[0-9]+", "Level 12, stage 3", "#")
end
local ok, err = pcall(run_replace_step)
if not ok then
toast("Step failed")
print(err)
endlocal result = Regex.replace("[0-9]+", "Level 12, stage 3", "#")
local raw = File.read("macro.log")
local normalized = Str.trim(raw)
print(normalized)