Timeouts in Idris

Timeouts are important for programs that connect to external resources or that otherwise need to bound execution time. Implementing timeouts in Idris requires careful handling of concurrent operations and time-based checks.

import Control.Concurrent
import Data.IORef
import System.Timeout

main : IO ()
main = do
    -- For our example, suppose we're executing an external
    -- call that returns its result after 2 seconds.
    -- We'll use an IORef to simulate this delayed result.
    result1 <- newIORef ""
    forkIO $ do
        threadDelay 2000000  -- 2 seconds
        writeIORef result1 "result 1"

    -- Here we implement a timeout using System.Timeout.
    -- If the operation takes more than 1 second, it will timeout.
    maybeResult <- timeout 1000000 $ do  -- 1 second timeout
        threadDelay 500000  -- Wait for 0.5 seconds
        readIORef result1

    case maybeResult of
        Just res -> putStrLn res
        Nothing -> putStrLn "timeout 1"

    -- If we allow a longer timeout of 3 seconds, then the operation
    -- will succeed and we'll print the result.
    result2 <- newIORef ""
    forkIO $ do
        threadDelay 2000000  -- 2 seconds
        writeIORef result2 "result 2"

    maybeResult2 <- timeout 3000000 $ do  -- 3 second timeout
        threadDelay 2500000  -- Wait for 2.5 seconds
        readIORef result2

    case maybeResult2 of
        Just res -> putStrLn res
        Nothing -> putStrLn "timeout 2"

In this Idris implementation:

  1. We use IORef to simulate delayed results, as Idris doesn’t have built-in channels like Go.
  2. forkIO is used to create concurrent operations, similar to goroutines in Go.
  3. threadDelay is used to simulate time-consuming operations.
  4. The timeout function from System.Timeout is used to implement timeouts. It takes a duration in microseconds and an IO action, and returns Maybe a where Nothing indicates a timeout.
  5. We use pattern matching on the result of timeout to handle both successful and timeout cases.

Running this program would show the first operation timing out and the second succeeding:

timeout 1
result 2

Note that Idris’s concurrency model is different from Go’s, and this example is a simplified approximation of the original Go code’s behavior. In practice, more robust error handling and resource management would be necessary for production code.