# Shell class for a test, inherited by all individual tests
#
# Methods:
#       __init__        initialise
#       initialize      run once for each job
#       setup           run once for each new version of the test installed
#       run             run the test (wrapped by job.run_test())
#
# Data:
#       job             backreference to the job this test instance is part of
#       outputdir       eg. results/<job>/<testname.tag>
#       resultsdir      eg. results/<job>/<testname.tag>/results
#       profdir         eg. results/<job>/<testname.tag>/profiling
#       debugdir        eg. results/<job>/<testname.tag>/debug
#       bindir          eg. tests/<test>
#       src             eg. tests/<test>/src
#       tmpdir          eg. tmp/<tempname>_<testname.tag>

#pylint: disable=C0111

import fcntl, json, os, re, sys, shutil, stat, tempfile, time, traceback
import logging

from autotest_lib.client.bin import utils
from autotest_lib.client.common_lib import error


class base_test(object):
    preserve_srcdir = False
    network_destabilizing = False

    def __init__(self, job, bindir, outputdir):
        self.job = job
        self.pkgmgr = job.pkgmgr
        self.autodir = job.autodir
        self.outputdir = outputdir
        self.tagged_testname = os.path.basename(self.outputdir)
        self.resultsdir = os.path.join(self.outputdir, 'results')
        os.mkdir(self.resultsdir)
        self.profdir = os.path.join(self.outputdir, 'profiling')
        os.mkdir(self.profdir)
        self.debugdir = os.path.join(self.outputdir, 'debug')
        os.mkdir(self.debugdir)
        # TODO(ericli): figure out how autotest crash handler work with cros
        # Once this is re-enabled import getpass. crosbug.com/31232
        # crash handler, we should restore it in near term.
        # if getpass.getuser() == 'root':
        #     self.configure_crash_handler()
        # else:
        self.crash_handling_enabled = False
        self.bindir = bindir
        self.srcdir = os.path.join(self.bindir, 'src')
        self.tmpdir = tempfile.mkdtemp("_" + self.tagged_testname,
                                       dir=job.tmpdir)
        self._keyvals = []
        self._new_keyval = False
        self.failed_constraints = []
        self.iteration = 0
        self.before_iteration_hooks = []
        self.after_iteration_hooks = []

        # Flag to indicate if the test has succeeded or failed.
        self.success = False


    def configure_crash_handler(self):
        pass


    def crash_handler_report(self):
        pass


    def assert_(self, expr, msg='Assertion failed.'):
        if not expr:
            raise error.TestError(msg)


    def write_test_keyval(self, attr_dict):
        utils.write_keyval(self.outputdir, attr_dict)


    @staticmethod
    def _append_type_to_keys(dictionary, typename):
        new_dict = {}
        for key, value in dictionary.iteritems():
            new_key = "%s{%s}" % (key, typename)
            new_dict[new_key] = value
        return new_dict


    def output_perf_value(self, description, value, units=None,
                          higher_is_better=None, graph=None,
                          replacement='_', replace_existing_values=False):
        """
        Records a measured performance value in an output file.

        The output file will subsequently be parsed by the TKO parser to have
        the information inserted into the results database.

        @param description: A string describing the measured perf value. Must
                be maximum length 256, and may only contain letters, numbers,
                periods, dashes, and underscores.  For example:
                "page_load_time", "scrolling-frame-rate".
        @param value: A number representing the measured perf value, or a list
                of measured values if a test takes multiple measurements.
                Measured perf values can be either ints or floats.
        @param units: A string describing the units associated with the
                measured perf value. Must be maximum length 32, and may only
                contain letters, numbers, periods, dashes, and underscores.
                For example: "msec", "fps", "score", "runs_per_second".
        @param higher_is_better: A boolean indicating whether or not a "higher"
                measured perf value is considered to be better. If False, it is
                assumed that a "lower" measured value is considered to be
                better. This impacts dashboard plotting and email notification.
                Pure autotests are expected to specify either True or False!
                This value can be set to "None" to indicate that the perf
                dashboard should apply the rules encoded via Chromium
                unit-info.json. This is only used for tracking Chromium based
                tests (in particular telemetry).
        @param graph: A string indicating the name of the graph on which
                the perf value will be subsequently displayed on the chrome perf
                dashboard. This allows multiple metrics be grouped together on
                the same graphs. Defaults to None, indicating that the perf
                value should be displayed individually on a separate graph.
        @param replacement: string to replace illegal characters in
                |description| and |units| with.
        @param replace_existing_values: A boolean indicating whether or not a
                new added perf value should replace existing perf.
        """
        if len(description) > 256:
            raise ValueError('The description must be at most 256 characters.')
        if units and len(units) > 32:
            raise ValueError('The units must be at most 32 characters.')

        # If |replacement| is legal replace illegal characters with it.
        string_regex = re.compile(r'[^-\.\w]')
        if replacement is None or re.search(string_regex, replacement):
            raise ValueError('Invalid replacement string to mask illegal '
                             'characters. May only contain letters, numbers, '
                             'periods, dashes, and underscores. '
                             'replacement: %s' % replacement)
        description = re.sub(string_regex, replacement, description)
        units = re.sub(string_regex, replacement, units) if units else None

        charts = {}
        output_file = os.path.join(self.resultsdir, 'results-chart.json')
        if os.path.isfile(output_file):
            with open(output_file, 'r') as fp:
                contents = fp.read()
                if contents:
                     charts = json.loads(contents)

        if graph:
            first_level = graph
            second_level = description
        else:
            first_level = description
            second_level = 'summary'

        direction = 'up' if higher_is_better else 'down'

        # All input should be a number - but at times there are strings
        # representing numbers logged, attempt to convert them to numbers.
        # If a non number string is logged an exception will be thrown.
        if isinstance(value, list):
          value = map(float, value)
        else:
          value = float(value)

        result_type = 'scalar'
        value_key = 'value'
        result_value = value

        # The chart json spec go/telemetry-json differenciates between a single
        # value vs a list of values.  Lists of values get extra processing in
        # the chromeperf dashboard ( mean, standard deviation etc)
        # Tests can log one or more values for the same metric, to adhere stricly
        # to the specification the first value logged is a scalar but if another
        # value is logged the results become a list of scalar.
        # TODO Figure out if there would be any difference of always using list
        # of scalar even if there is just one item in the list.
        if isinstance(value, list):
            result_type = 'list_of_scalar_values'
            value_key = 'values'
            if first_level in charts and second_level in charts[first_level]:
                if 'values' in charts[first_level][second_level]:
                    result_value = charts[first_level][second_level]['values']
                elif 'value' in charts[first_level][second_level]:
                    result_value = [charts[first_level][second_level]['value']]
                if replace_existing_values:
                    result_value = value
                else:
                    result_value.extend(value)
            else:
                result_value = value
        elif (first_level in charts and second_level in charts[first_level] and
              not replace_existing_values):
            result_type = 'list_of_scalar_values'
            value_key = 'values'
            if 'values' in charts[first_level][second_level]:
                result_value = charts[first_level][second_level]['values']
                result_value.append(value)
            else:
                result_value = [charts[first_level][second_level]['value'], value]

        test_data = {
            second_level: {
                 'type': result_type,
                 'units': units,
                 value_key: result_value,
                 'improvement_direction': direction
           }
        }

        if first_level in charts:
            charts[first_level].update(test_data)
        else:
            charts.update({first_level: test_data})

        with open(output_file, 'w') as fp:
            fp.write(json.dumps(charts, indent=2))


    def write_perf_keyval(self, perf_dict):
        self.write_iteration_keyval({}, perf_dict)


    def write_attr_keyval(self, attr_dict):
        self.write_iteration_keyval(attr_dict, {})


    def write_iteration_keyval(self, attr_dict, perf_dict):
        # append the dictionaries before they have the {perf} and {attr} added
        self._keyvals.append({'attr':attr_dict, 'perf':perf_dict})
        self._new_keyval = True

        if attr_dict:
            attr_dict = self._append_type_to_keys(attr_dict, "attr")
            utils.write_keyval(self.resultsdir, attr_dict, type_tag="attr")

        if perf_dict:
            perf_dict = self._append_type_to_keys(perf_dict, "perf")
            utils.write_keyval(self.resultsdir, perf_dict, type_tag="perf")

        keyval_path = os.path.join(self.resultsdir, "keyval")
        print >> open(keyval_path, "a"), ""


    def analyze_perf_constraints(self, constraints):
        if not self._new_keyval:
            return

        # create a dict from the keyvals suitable as an environment for eval
        keyval_env = self._keyvals[-1]['perf'].copy()
        keyval_env['__builtins__'] = None
        self._new_keyval = False
        failures = []

        # evaluate each constraint using the current keyvals
        for constraint in constraints:
            logging.info('___________________ constraint = %s', constraint)
            logging.info('___________________ keyvals = %s', keyval_env)

            try:
                if not eval(constraint, keyval_env):
                    failures.append('%s: constraint was not met' % constraint)
            except:
                failures.append('could not evaluate constraint: %s'
                                % constraint)

        # keep track of the errors for each iteration
        self.failed_constraints.append(failures)


    def process_failed_constraints(self):
        msg = ''
        for i, failures in enumerate(self.failed_constraints):
            if failures:
                msg += 'iteration %d:%s  ' % (i, ','.join(failures))

        if msg:
            raise error.TestFail(msg)


    def register_before_iteration_hook(self, iteration_hook):
        """
        This is how we expect test writers to register a before_iteration_hook.
        This adds the method to the list of hooks which are executed
        before each iteration.

        @param iteration_hook: Method to run before each iteration. A valid
                               hook accepts a single argument which is the
                               test object.
        """
        self.before_iteration_hooks.append(iteration_hook)


    def register_after_iteration_hook(self, iteration_hook):
        """
        This is how we expect test writers to register an after_iteration_hook.
        This adds the method to the list of hooks which are executed
        after each iteration. Hooks are executed starting with the most-
        recently registered, in stack fashion.

        @param iteration_hook: Method to run after each iteration. A valid
                               hook accepts a single argument which is the
                               test object.
        """
        self.after_iteration_hooks.append(iteration_hook)


    def initialize(self):
        pass


    def setup(self):
        pass


    def warmup(self, *args, **dargs):
        pass


    def drop_caches_between_iterations(self):
        if self.job.drop_caches_between_iterations:
            utils.drop_caches()


    def _call_run_once_with_retry(self, constraints, profile_only,
                                  postprocess_profiled_run, args, dargs):
        """Thin wrapper around _call_run_once that retries unsuccessful tests.

        If the job object's attribute test_retry is > 0 retry any tests that
        ran unsuccessfully X times.
        *Note this does not competely re-initialize the test, it only
            re-executes code once all the initial job set up (packages,
            sysinfo, etc) is complete.
        """
        if self.job.test_retry != 0:
            logging.info('Test will be retried a maximum of %d times',
                         self.job.test_retry)

        max_runs = self.job.test_retry
        for retry_run in xrange(0, max_runs+1):
            try:
                self._call_run_once(constraints, profile_only,
                                    postprocess_profiled_run, args, dargs)
                break
            except error.TestFailRetry as err:
                if retry_run == max_runs:
                    raise
                self.job.record('INFO', None, None, 'Run %s failed with %s' % (
                        retry_run, err))
        if retry_run > 0:
            self.write_test_keyval({'test_retries_before_success': retry_run})


    def _call_run_once(self, constraints, profile_only,
                       postprocess_profiled_run, args, dargs):
        self.drop_caches_between_iterations()
        # execute iteration hooks
        logging.debug('starting before_iteration_hooks')
        for hook in self.before_iteration_hooks:
            hook(self)
        logging.debug('before_iteration_hooks completed')

        try:
            if profile_only:
                if not self.job.profilers.present():
                    self.job.record('WARN', None, None,
                                    'No profilers have been added but '
                                    'profile_only is set - nothing '
                                    'will be run')
                self.run_once_profiling(postprocess_profiled_run,
                                        *args, **dargs)
            else:
                self.before_run_once()
                logging.debug('starting test(run_once()), test details follow'
                              '\n%r', args)
                self.run_once(*args, **dargs)
                logging.debug('The test has completed successfully')
                self.after_run_once()

            self.postprocess_iteration()
            self.analyze_perf_constraints(constraints)
        # Catch and re-raise to let after_iteration_hooks see the exception.
        except Exception as e:
            logging.debug('Test failed due to %s. Exception log follows the '
                          'after_iteration_hooks.', str(e))
            raise
        finally:
            logging.debug('starting after_iteration_hooks')
            for hook in reversed(self.after_iteration_hooks):
                hook(self)
            logging.debug('after_iteration_hooks completed')


    def execute(self, iterations=None, test_length=None, profile_only=None,
                _get_time=time.time, postprocess_profiled_run=None,
                constraints=(), *args, **dargs):
        """
        This is the basic execute method for the tests inherited from base_test.
        If you want to implement a benchmark test, it's better to implement
        the run_once function, to cope with the profiling infrastructure. For
        other tests, you can just override the default implementation.

        @param test_length: The minimum test length in seconds. We'll run the
            run_once function for a number of times large enough to cover the
            minimum test length.

        @param iterations: A number of iterations that we'll run the run_once
            function. This parameter is incompatible with test_length and will
            be silently ignored if you specify both.

        @param profile_only: If true run X iterations with profilers enabled.
            If false run X iterations and one with profiling if profiles are
            enabled. If None, default to the value of job.default_profile_only.

        @param _get_time: [time.time] Used for unit test time injection.

        @param postprocess_profiled_run: Run the postprocessing for the
            profiled run.
        """

        # For our special class of tests, the benchmarks, we don't want
        # profilers to run during the test iterations. Let's reserve only
        # the last iteration for profiling, if needed. So let's stop
        # all profilers if they are present and active.
        profilers = self.job.profilers
        if profilers.active():
            profilers.stop(self)
        if profile_only is None:
            profile_only = self.job.default_profile_only
        # If the user called this test in an odd way (specified both iterations
        # and test_length), let's warn them.
        if iterations and test_length:
            logging.debug('Iterations parameter ignored (timed execution)')
        if test_length:
            test_start = _get_time()
            time_elapsed = 0
            timed_counter = 0
            logging.debug('Test started. Specified %d s as the minimum test '
                          'length', test_length)
            while time_elapsed < test_length:
                timed_counter = timed_counter + 1
                if time_elapsed == 0:
                    logging.debug('Executing iteration %d', timed_counter)
                elif time_elapsed > 0:
                    logging.debug('Executing iteration %d, time_elapsed %d s',
                                  timed_counter, time_elapsed)
                self._call_run_once_with_retry(constraints, profile_only,
                                               postprocess_profiled_run, args,
                                               dargs)
                test_iteration_finish = _get_time()
                time_elapsed = test_iteration_finish - test_start
            logging.debug('Test finished after %d iterations, '
                          'time elapsed: %d s', timed_counter, time_elapsed)
        else:
            if iterations is None:
                iterations = 1
            if iterations > 1:
                logging.debug('Test started. Specified %d iterations',
                              iterations)
            for self.iteration in xrange(1, iterations + 1):
                if iterations > 1:
                    logging.debug('Executing iteration %d of %d',
                                  self.iteration, iterations)
                self._call_run_once_with_retry(constraints, profile_only,
                                               postprocess_profiled_run, args,
                                               dargs)

        if not profile_only:
            self.iteration += 1
            self.run_once_profiling(postprocess_profiled_run, *args, **dargs)

        # Do any postprocessing, normally extracting performance keyvals, etc
        self.postprocess()
        self.process_failed_constraints()


    def run_once_profiling(self, postprocess_profiled_run, *args, **dargs):
        profilers = self.job.profilers
        # Do a profiling run if necessary
        if profilers.present():
            self.drop_caches_between_iterations()
            profilers.before_start(self)

            self.before_run_once()
            profilers.start(self)
            logging.debug('Profilers present. Profiling run started')

            try:
                self.run_once(*args, **dargs)

                # Priority to the run_once() argument over the attribute.
                postprocess_attribute = getattr(self,
                                                'postprocess_profiled_run',
                                                False)

                if (postprocess_profiled_run or
                    (postprocess_profiled_run is None and
                     postprocess_attribute)):
                    self.postprocess_iteration()

            finally:
                profilers.stop(self)
                profilers.report(self)

            self.after_run_once()


    def postprocess(self):
        pass


    def postprocess_iteration(self):
        pass


    def cleanup(self):
        pass


    def before_run_once(self):
        """
        Override in tests that need it, will be called before any run_once()
        call including the profiling run (when it's called before starting
        the profilers).
        """
        pass


    def after_run_once(self):
        """
        Called after every run_once (including from a profiled run when it's
        called after stopping the profilers).
        """
        pass


    @staticmethod
    def _make_writable_to_others(directory):
        mode = os.stat(directory).st_mode
        mode = mode | stat.S_IROTH | stat.S_IWOTH | stat.S_IXOTH
        os.chmod(directory, mode)


    def _exec(self, args, dargs):
        self.job.logging.tee_redirect_debug_dir(self.debugdir,
                                                log_name=self.tagged_testname)
        try:
            if self.network_destabilizing:
                self.job.disable_warnings("NETWORK")

            # write out the test attributes into a keyval
            dargs   = dargs.copy()
            run_cleanup = dargs.pop('run_cleanup', self.job.run_test_cleanup)
            keyvals = dargs.pop('test_attributes', {}).copy()
            keyvals['version'] = self.version
            for i, arg in enumerate(args):
                keyvals['param-%d' % i] = repr(arg)
            for name, arg in dargs.iteritems():
                keyvals['param-%s' % name] = repr(arg)
            self.write_test_keyval(keyvals)

            _validate_args(args, dargs, self.initialize, self.setup,
                           self.execute, self.cleanup)

            try:
                # Make resultsdir and tmpdir accessible to everyone. We may
                # output data to these directories as others, e.g., chronos.
                self._make_writable_to_others(self.tmpdir)
                self._make_writable_to_others(self.resultsdir)

                # Initialize:
                _cherry_pick_call(self.initialize, *args, **dargs)

                lockfile = open(os.path.join(self.job.tmpdir, '.testlock'), 'w')
                try:
                    fcntl.flock(lockfile, fcntl.LOCK_EX)
                    # Setup: (compile and install the test, if needed)
                    p_args, p_dargs = _cherry_pick_args(self.setup, args, dargs)
                    utils.update_version(self.srcdir, self.preserve_srcdir,
                                         self.version, self.setup,
                                         *p_args, **p_dargs)
                finally:
                    fcntl.flock(lockfile, fcntl.LOCK_UN)
                    lockfile.close()

                # Execute:
                os.chdir(self.outputdir)

                # call self.warmup cherry picking the arguments it accepts and
                # translate exceptions if needed
                _call_test_function(_cherry_pick_call, self.warmup,
                                    *args, **dargs)

                if hasattr(self, 'run_once'):
                    p_args, p_dargs = _cherry_pick_args(self.run_once,
                                                        args, dargs)
                    # pull in any non-* and non-** args from self.execute
                    for param in _get_nonstar_args(self.execute):
                        if param in dargs:
                            p_dargs[param] = dargs[param]
                else:
                    p_args, p_dargs = _cherry_pick_args(self.execute,
                                                        args, dargs)

                _call_test_function(self.execute, *p_args, **p_dargs)
            except Exception:
                # Save the exception while we run our cleanup() before
                # reraising it, but log it to so actual time of error is known.
                exc_info = sys.exc_info()
                logging.warning('The test failed with the following exception',
                                exc_info=True)

                try:
                    try:
                        if run_cleanup:
                            logging.debug('Running cleanup for test.')
                            _cherry_pick_call(self.cleanup, *args, **dargs)
                    except Exception:
                        logging.error('Ignoring exception during cleanup() '
                                      'phase:')
                        traceback.print_exc()
                        logging.error('Now raising the earlier %s error',
                                      exc_info[0])
                    self.crash_handler_report()
                finally:
                    # Raise exception after running cleanup, reporting crash,
                    # and restoring job's logging, even if the first two
                    # actions fail.
                    self.job.logging.restore()
                    try:
                        raise exc_info[0], exc_info[1], exc_info[2]
                    finally:
                        # http://docs.python.org/library/sys.html#sys.exc_info
                        # Be nice and prevent a circular reference.
                        del exc_info
            else:
                try:
                    if run_cleanup:
                        _cherry_pick_call(self.cleanup, *args, **dargs)
                    self.crash_handler_report()
                finally:
                    self.job.logging.restore()
        except error.AutotestError:
            if self.network_destabilizing:
                self.job.enable_warnings("NETWORK")
            # Pass already-categorized errors on up.
            raise
        except Exception, e:
            if self.network_destabilizing:
                self.job.enable_warnings("NETWORK")
            # Anything else is an ERROR in our own code, not execute().
            raise error.UnhandledTestError(e)
        else:
            if self.network_destabilizing:
                self.job.enable_warnings("NETWORK")


    def runsubtest(self, url, *args, **dargs):
        """
        Execute another autotest test from inside the current test's scope.

        @param test: Parent test.
        @param url: Url of new test.
        @param tag: Tag added to test name.
        @param args: Args for subtest.
        @param dargs: Dictionary with args for subtest.
        @iterations: Number of subtest iterations.
        @profile_only: If true execute one profiled run.
        """
        dargs["profile_only"] = dargs.get("profile_only", False)
        test_basepath = self.outputdir[len(self.job.resultdir + "/"):]
        return self.job.run_test(url, master_testpath=test_basepath,
                                 *args, **dargs)


def _get_nonstar_args(func):
    """Extract all the (normal) function parameter names.

    Given a function, returns a tuple of parameter names, specifically
    excluding the * and ** parameters, if the function accepts them.

    @param func: A callable that we want to chose arguments for.

    @return: A tuple of parameters accepted by the function.
    """
    return func.func_code.co_varnames[:func.func_code.co_argcount]


def _cherry_pick_args(func, args, dargs):
    """Sanitize positional and keyword arguments before calling a function.

    Given a callable (func), an argument tuple and a dictionary of keyword
    arguments, pick only those arguments which the function is prepared to
    accept and return a new argument tuple and keyword argument dictionary.

    Args:
      func: A callable that we want to choose arguments for.
      args: A tuple of positional arguments to consider passing to func.
      dargs: A dictionary of keyword arguments to consider passing to func.
    Returns:
      A tuple of: (args tuple, keyword arguments dictionary)
    """
    # Cherry pick args:
    if func.func_code.co_flags & 0x04:
        # func accepts *args, so return the entire args.
        p_args = args
    else:
        p_args = ()

    # Cherry pick dargs:
    if func.func_code.co_flags & 0x08:
        # func accepts **dargs, so return the entire dargs.
        p_dargs = dargs
    else:
        # Only return the keyword arguments that func accepts.
        p_dargs = {}
        for param in _get_nonstar_args(func):
            if param in dargs:
                p_dargs[param] = dargs[param]

    return p_args, p_dargs


def _cherry_pick_call(func, *args, **dargs):
    """Cherry picks arguments from args/dargs based on what "func" accepts
    and calls the function with the picked arguments."""
    p_args, p_dargs = _cherry_pick_args(func, args, dargs)
    return func(*p_args, **p_dargs)


def _validate_args(args, dargs, *funcs):
    """Verify that arguments are appropriate for at least one callable.

    Given a list of callables as additional parameters, verify that
    the proposed keyword arguments in dargs will each be accepted by at least
    one of the callables.

    NOTE: args is currently not supported and must be empty.

    Args:
      args: A tuple of proposed positional arguments.
      dargs: A dictionary of proposed keyword arguments.
      *funcs: Callables to be searched for acceptance of args and dargs.
    Raises:
      error.AutotestError: if an arg won't be accepted by any of *funcs.
    """
    all_co_flags = 0
    all_varnames = ()
    for func in funcs:
        all_co_flags |= func.func_code.co_flags
        all_varnames += func.func_code.co_varnames[:func.func_code.co_argcount]

    # Check if given args belongs to at least one of the methods below.
    if len(args) > 0:
        # Current implementation doesn't allow the use of args.
        raise error.TestError('Unnamed arguments not accepted. Please '
                              'call job.run_test with named args only')

    # Check if given dargs belongs to at least one of the methods below.
    if len(dargs) > 0:
        if not all_co_flags & 0x08:
            # no func accepts *dargs, so:
            for param in dargs:
                if not param in all_varnames:
                    raise error.AutotestError('Unknown parameter: %s' % param)


def _installtest(job, url):
    (group, name) = job.pkgmgr.get_package_name(url, 'test')

    # Bail if the test is already installed
    group_dir = os.path.join(job.testdir, "download", group)
    if os.path.exists(os.path.join(group_dir, name)):
        return (group, name)

    # If the group directory is missing create it and add
    # an empty  __init__.py so that sub-directories are
    # considered for import.
    if not os.path.exists(group_dir):
        os.makedirs(group_dir)
        f = file(os.path.join(group_dir, '__init__.py'), 'w+')
        f.close()

    logging.debug("%s: installing test url=%s", name, url)
    tarball = os.path.basename(url)
    tarball_path = os.path.join(group_dir, tarball)
    test_dir = os.path.join(group_dir, name)
    job.pkgmgr.fetch_pkg(tarball, tarball_path,
                         repo_url = os.path.dirname(url))

    # Create the directory for the test
    if not os.path.exists(test_dir):
        os.mkdir(os.path.join(group_dir, name))

    job.pkgmgr.untar_pkg(tarball_path, test_dir)

    os.remove(tarball_path)

    # For this 'sub-object' to be importable via the name
    # 'group.name' we need to provide an __init__.py,
    # so link the main entry point to this.
    os.symlink(name + '.py', os.path.join(group_dir, name,
                            '__init__.py'))

    # The test is now installed.
    return (group, name)


def _call_test_function(func, *args, **dargs):
    """Calls a test function and translates exceptions so that errors
    inside test code are considered test failures."""
    try:
        return func(*args, **dargs)
    except error.AutotestError:
        raise
    except Exception, e:
        # Other exceptions must be treated as a FAIL when
        # raised during the test functions
        raise error.UnhandledTestFail(e)


def runtest(job, url, tag, args, dargs,
            local_namespace={}, global_namespace={},
            before_test_hook=None, after_test_hook=None,
            before_iteration_hook=None, after_iteration_hook=None):
    local_namespace = local_namespace.copy()
    global_namespace = global_namespace.copy()
    # if this is not a plain test name then download and install the
    # specified test
    if url.endswith('.tar.bz2'):
        (testgroup, testname) = _installtest(job, url)
        bindir = os.path.join(job.testdir, 'download', testgroup, testname)
        importdir = os.path.join(job.testdir, 'download')
        modulename = '%s.%s' % (re.sub('/', '.', testgroup), testname)
        classname = '%s.%s' % (modulename, testname)
        path = testname
    else:
        # If the test is local, it may be under either testdir or site_testdir.
        # Tests in site_testdir override tests defined in testdir
        testname = path = url
        testgroup = ''
        path = re.sub(':', '/', testname)
        modulename = os.path.basename(path)
        classname = '%s.%s' % (modulename, modulename)

        # Try installing the test package
        # The job object may be either a server side job or a client side job.
        # 'install_pkg' method will be present only if it's a client side job.
        if hasattr(job, 'install_pkg'):
            try:
                bindir = os.path.join(job.testdir, testname)
                job.install_pkg(testname, 'test', bindir)
            except error.PackageInstallError:
                # continue as a fall back mechanism and see if the test code
                # already exists on the machine
                pass

        bindir = None
        for dir in [job.testdir, getattr(job, 'site_testdir', None)]:
            if dir is not None and os.path.exists(os.path.join(dir, path)):
                importdir = bindir = os.path.join(dir, path)
        if not bindir:
            raise error.TestError(testname + ': test does not exist')

    subdir = os.path.join(dargs.pop('master_testpath', ""), testname)
    outputdir = os.path.join(job.resultdir, subdir)
    if tag:
        outputdir += '.' + tag

    local_namespace['job'] = job
    local_namespace['bindir'] = bindir
    local_namespace['outputdir'] = outputdir

    sys.path.insert(0, importdir)
    try:
        exec ('import %s' % modulename, local_namespace, global_namespace)
        exec ("mytest = %s(job, bindir, outputdir)" % classname,
              local_namespace, global_namespace)
    finally:
        sys.path.pop(0)

    pwd = os.getcwd()
    os.chdir(outputdir)

    try:
        mytest = global_namespace['mytest']
        mytest.success = False
        if before_test_hook:
            before_test_hook(mytest)

        # we use the register iteration hooks methods to register the passed
        # in hooks
        if before_iteration_hook:
            mytest.register_before_iteration_hook(before_iteration_hook)
        if after_iteration_hook:
            mytest.register_after_iteration_hook(after_iteration_hook)
        mytest._exec(args, dargs)
        mytest.success = True
    finally:
        os.chdir(pwd)
        if after_test_hook:
            after_test_hook(mytest)
        shutil.rmtree(mytest.tmpdir, ignore_errors=True)