import multiprocessing
import time

import lit.Test
import lit.util
import lit.worker

# No-operation semaphore for supporting `None` for parallelism_groups.
#   lit_config.parallelism_groups['my_group'] = None
class NopSemaphore(object):
    def acquire(self): pass
    def release(self): pass

def create_run(tests, lit_config, workers, progress_callback, max_time):
    # TODO(yln) assert workers > 0
    if workers == 1:
        return SerialRun(tests, lit_config, progress_callback, max_time)
    return ParallelRun(tests, lit_config, progress_callback, max_time, workers)

class Run(object):
    """A concrete, configured testing run."""

    def __init__(self, tests, lit_config, progress_callback, max_time):
        self.tests = tests
        self.lit_config = lit_config
        self.progress_callback = progress_callback
        self.max_time = max_time

    def execute(self):
        """
        Execute the tests in the run using up to the specified number of
        parallel tasks, and inform the caller of each individual result. The
        provided tests should be a subset of the tests available in this run
        object.

        The progress_callback will be invoked for each completed test.

        If max_time is non-None, it should be a time in seconds after which to
        stop executing tests.

        Returns the elapsed testing time.

        Upon completion, each test in the run will have its result
        computed. Tests which were not actually executed (for any reason) will
        be given an UNRESOLVED result.
        """
        if not self.tests:
            return 0.0

        self.failure_count = 0
        self.hit_max_failures = False

        start = time.time()
        self._execute()
        end = time.time()

        # Mark any tests that weren't run as UNRESOLVED.
        for test in self.tests:
            if test.result is None:
                test.setResult(lit.Test.Result(lit.Test.UNRESOLVED, '', 0.0))

        return end - start

    def _consume_test_result(self, pool_result):
        """Test completion callback for lit.worker.run_one_test

        Updates the test result status in the parent process. Each task in the
        pool returns the test index and the result, and we use the index to look
        up the original test object. Also updates the progress bar as tasks
        complete.
        """
        # Don't add any more test results after we've hit the maximum failure
        # count.  Otherwise we're racing with the main thread, which is going
        # to terminate the process pool soon.
        if self.hit_max_failures:
            return

        (test_index, test_with_result) = pool_result
        # Update the parent process copy of the test. This includes the result,
        # XFAILS, REQUIRES, and UNSUPPORTED statuses.
        assert self.tests[test_index].file_path == test_with_result.file_path, \
                "parent and child disagree on test path"
        self.tests[test_index] = test_with_result
        self.progress_callback(test_with_result)

        # If we've finished all the tests or too many tests have failed, notify
        # the main thread that we've stopped testing.
        self.failure_count += (test_with_result.result.code == lit.Test.FAIL)
        if self.lit_config.maxFailures and \
                self.failure_count == self.lit_config.maxFailures:
            self.hit_max_failures = True

class SerialRun(Run):
    def __init__(self, tests, lit_config, progress_callback, max_time):
        super(SerialRun, self).__init__(tests, lit_config, progress_callback, max_time)

    def _execute(self):
        # TODO(yln): ignores max_time
        for test_index, test in enumerate(self.tests):
            lit.worker._execute_test(test, self.lit_config)
            self._consume_test_result((test_index, test))
            if self.hit_max_failures:
                break

class ParallelRun(Run):
    def __init__(self, tests, lit_config, progress_callback, max_time, workers):
        super(ParallelRun, self).__init__(tests, lit_config, progress_callback, max_time)
        self.workers = workers

    def _execute(self):
        one_year = 365 * 24 * 60 * 60  # days * hours * minutes * seconds
        max_time = self.max_time or one_year
        deadline = time.time() + max_time

        semaphores = {
            k: NopSemaphore() if v is None else
            multiprocessing.BoundedSemaphore(v) for k, v in
            self.lit_config.parallelism_groups.items()}

        # Start a process pool. Copy over the data shared between all test runs.
        # FIXME: Find a way to capture the worker process stderr. If the user
        # interrupts the workers before we make it into our task callback, they
        # will each raise a KeyboardInterrupt exception and print to stderr at
        # the same time.
        pool = multiprocessing.Pool(self.workers, lit.worker.initializer,
                                    (self.lit_config, semaphores))

        # Install a console-control signal handler on Windows.
        if lit.util.win32api is not None:
            def console_ctrl_handler(type):
                print('\nCtrl-C detected, terminating.')
                pool.terminate()
                pool.join()
                lit.util.abort_now()
                return True
            lit.util.win32api.SetConsoleCtrlHandler(console_ctrl_handler, True)

        try:
            async_results = [pool.apply_async(lit.worker.run_one_test,
                                              args=(test_index, test),
                                              callback=self._consume_test_result)
                             for test_index, test in enumerate(self.tests)]
            pool.close()

            # Wait for all results to come in. The callback that runs in the
            # parent process will update the display.
            for a in async_results:
                timeout = deadline - time.time()
                a.wait(timeout)
                if not a.successful():
                    # TODO(yln): this also raises on a --max-time time
                    a.get() # Exceptions raised here come from the worker.
                if self.hit_max_failures:
                    break
        except:
            # Stop the workers and wait for any straggling results to come in
            # if we exited without waiting on every async result.
            pool.terminate()
            raise
        finally:
            pool.join()