How To Call It
Collection is a global table: call its functions with a dot (Collection.<method>(...)), not a colon.
Returns the documents whose field equals value (at most limit, never more than 100).
Documented for app version 1.0.51Updated:
Collection is a global table: call its functions with a dot (Collection.<method>(...)), not a colon.
In data flow, chaining JSON, Regex, Str, Map, and File steps to normalize intermediate values reduces error risk.
Required: name, field, value. Optional: limit (omit to pass nil and use the runtime default). Returns a Lua table.
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 players = Collection.find("players", "level", 3, 10)
for _, player in ipairs(players) do
print(player.name)
endFrom 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 players = Collection.find("players", "level", 3, 10)
for _, player in ipairs(players) do
print(player.name)
endlocal stepOk = true
local players = Collection.find("players", "level", 3, 10)
for _, player in ipairs(players) do
print(player.name)
end
if stepOk then
wait(200)
endlocal ok, err = pcall(function()
local players = Collection.find("players", "level", 3, 10)
for _, player in ipairs(players) do
print(player.name)
end
end)
if not ok then
print("API step failed: Collection.find: " .. 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_find_step()
local players = Collection.find("players", "level", 3, 10)
for _, player in ipairs(players) do
print(player.name)
end
end
local ok, err = pcall(run_find_step)
if not ok then
toast("Step failed")
print(err)
endlocal players = Collection.find("players", "level", 3, 10)
for _, player in ipairs(players) do
print(player.name)
end
local raw = File.read("macro.log")
local normalized = Str.trim(raw)
print(normalized)