frontend/afe/rpc_utils.py

#pylint: disable-msg=C0111
"""\
Utility functions for rpc_interface.py.  We keep them in a separate file so that
only RPC interface functions go into that file.
"""

__author__ = 'showard@google.com (Steve Howard)'

import datetime
import inspect
import os
import sys
import django.http
from autotest_lib.frontend.afe import models, model_logic
from autotest_lib.client.common_lib import control_data, error
from autotest_lib.client.common_lib import global_config, priorities
from autotest_lib.client.common_lib import time_utils
from autotest_lib.client.common_lib.cros.graphite import autotest_stats
from autotest_lib.server.cros import provision
from autotest_lib.server import frontend
from autotest_lib.server import utils as server_utils

NULL_DATETIME = datetime.datetime.max
NULL_DATE = datetime.date.max

def prepare_for_serialization(objects):
    """
    Prepare Python objects to be returned via RPC.
    @param objects: objects to be prepared.
    """
    if (isinstance(objects, list) and len(objects) and
        isinstance(objects[0], dict) and 'id' in objects[0]):
        objects = gather_unique_dicts(objects)
    return _prepare_data(objects)


def prepare_rows_as_nested_dicts(query, nested_dict_column_names):
    """
    Prepare a Django query to be returned via RPC as a sequence of nested
    dictionaries.

    @param query - A Django model query object with a select_related() method.
    @param nested_dict_column_names - A list of column/attribute names for the
            rows returned by query to expand into nested dictionaries using
            their get_object_dict() method when not None.

    @returns An list suitable to returned in an RPC.
    """
    all_dicts = []
    for row in query.select_related():
        row_dict = row.get_object_dict()
        for column in nested_dict_column_names:
            if row_dict[column] is not None:
                row_dict[column] = getattr(row, column).get_object_dict()
        all_dicts.append(row_dict)
    return prepare_for_serialization(all_dicts)


def _prepare_data(data):
    """
    Recursively process data structures, performing necessary type
    conversions to values in data to allow for RPC serialization:
    -convert datetimes to strings
    -convert tuples and sets to lists
    """
    if isinstance(data, dict):
        new_data = {}
        for key, value in data.iteritems():
            new_data[key] = _prepare_data(value)
        return new_data
    elif (isinstance(data, list) or isinstance(data, tuple) or
          isinstance(data, set)):
        return [_prepare_data(item) for item in data]
    elif isinstance(data, datetime.date):
        if data is NULL_DATETIME or data is NULL_DATE:
            return None
        return str(data)
    else:
        return data


def fetchall_as_list_of_dicts(cursor):
    """
    Converts each row in the cursor to a dictionary so that values can be read
    by using the column name.
    @param cursor: The database cursor to read from.
    @returns: A list of each row in the cursor as a dictionary.
    """
    desc = cursor.description
    return [ dict(zip([col[0] for col in desc], row))
             for row in cursor.fetchall() ]


def raw_http_response(response_data, content_type=None):
    response = django.http.HttpResponse(response_data, mimetype=content_type)
    response['Content-length'] = str(len(response.content))
    return response


def gather_unique_dicts(dict_iterable):
    """\
    Pick out unique objects (by ID) from an iterable of object dicts.
    """
    id_set = set()
    result = []
    for obj in dict_iterable:
        if obj['id'] not in id_set:
            id_set.add(obj['id'])
            result.append(obj)
    return result


def extra_job_status_filters(not_yet_run=False, running=False, finished=False):
    """\
    Generate a SQL WHERE clause for job status filtering, and return it in
    a dict of keyword args to pass to query.extra().  No more than one of
    the parameters should be passed as True.
    * not_yet_run: all HQEs are Queued
    * finished: all HQEs are complete
    * running: everything else
    """
    assert not ((not_yet_run and running) or
                (not_yet_run and finished) or
                (running and finished)), ('Cannot specify more than one '
                                          'filter to this function')

    not_queued = ('(SELECT job_id FROM afe_host_queue_entries '
                  'WHERE status != "%s")'
                  % models.HostQueueEntry.Status.QUEUED)
    not_finished = ('(SELECT job_id FROM afe_host_queue_entries '
                    'WHERE not complete)')

    if not_yet_run:
        where = ['id NOT IN ' + not_queued]
    elif running:
        where = ['(id IN %s) AND (id IN %s)' % (not_queued, not_finished)]
    elif finished:
        where = ['id NOT IN ' + not_finished]
    else:
        return {}
    return {'where': where}


def extra_job_type_filters(extra_args, suite=False,
                           sub=False, standalone=False):
    """\
    Generate a SQL WHERE clause for job status filtering, and return it in
    a dict of keyword args to pass to query.extra().

    param extra_args: a dict of existing extra_args.

    No more than one of the parameters should be passed as True:
    * suite: job which is parent of other jobs
    * sub: job with a parent job
    * standalone: job with no child or parent jobs
    """
    assert not ((suite and sub) or
                (suite and standalone) or
                (sub and standalone)), ('Cannot specify more than one '
                                        'filter to this function')

    where = extra_args.get('where', [])
    parent_job_id = ('DISTINCT parent_job_id')
    child_job_id = ('id')
    filter_common = ('(SELECT %s FROM afe_jobs '
                     'WHERE parent_job_id IS NOT NULL)')

    if suite:
        where.append('id IN ' + filter_common % parent_job_id)
    elif sub:
        where.append('id IN ' + filter_common % child_job_id)
    elif standalone:
        where.append('NOT EXISTS (SELECT 1 from afe_jobs AS sub_query '
                     'WHERE parent_job_id IS NOT NULL'
                     ' AND (sub_query.parent_job_id=afe_jobs.id'
                     ' OR sub_query.id=afe_jobs.id))')
    else:
        return extra_args

    extra_args['where'] = where
    return extra_args



def extra_host_filters(multiple_labels=()):
    """\
    Generate SQL WHERE clauses for matching hosts in an intersection of
    labels.
    """
    extra_args = {}
    where_str = ('afe_hosts.id in (select host_id from afe_hosts_labels '
                 'where label_id=%s)')
    extra_args['where'] = [where_str] * len(multiple_labels)
    extra_args['params'] = [models.Label.smart_get(label).id
                            for label in multiple_labels]
    return extra_args


def get_host_query(multiple_labels, exclude_only_if_needed_labels,
                   exclude_atomic_group_hosts, valid_only, filter_data):
    if valid_only:
        query = models.Host.valid_objects.all()
    else:
        query = models.Host.objects.all()

    if exclude_only_if_needed_labels:
        only_if_needed_labels = models.Label.valid_objects.filter(
            only_if_needed=True)
        if only_if_needed_labels.count() > 0:
            only_if_needed_ids = ','.join(
                    str(label['id'])
                    for label in only_if_needed_labels.values('id'))
            query = models.Host.objects.add_join(
                query, 'afe_hosts_labels', join_key='host_id',
                join_condition=('afe_hosts_labels_exclude_OIN.label_id IN (%s)'
                                % only_if_needed_ids),
                suffix='_exclude_OIN', exclude=True)

    if exclude_atomic_group_hosts:
        atomic_group_labels = models.Label.valid_objects.filter(
                atomic_group__isnull=False)
        if atomic_group_labels.count() > 0:
            atomic_group_label_ids = ','.join(
                    str(atomic_group['id'])
                    for atomic_group in atomic_group_labels.values('id'))
            query = models.Host.objects.add_join(
                    query, 'afe_hosts_labels', join_key='host_id',
                    join_condition=(
                            'afe_hosts_labels_exclude_AG.label_id IN (%s)'
                            % atomic_group_label_ids),
                    suffix='_exclude_AG', exclude=True)
    try:
        assert 'extra_args' not in filter_data
        filter_data['extra_args'] = extra_host_filters(multiple_labels)
        return models.Host.query_objects(filter_data, initial_query=query)
    except models.Label.DoesNotExist as e:
        return models.Host.objects.none()


class InconsistencyException(Exception):
    'Raised when a list of objects does not have a consistent value'


def get_consistent_value(objects, field):
    if not objects:
        # well a list of nothing is consistent
        return None

    value = getattr(objects[0], field)
    for obj in objects:
        this_value = getattr(obj, field)
        if this_value != value:
            raise InconsistencyException(objects[0], obj)
    return value


def prepare_generate_control_file(tests, kernel, label, profilers):
    test_objects = [models.Test.smart_get(test) for test in tests]
    profiler_objects = [models.Profiler.smart_get(profiler)
                        for profiler in profilers]
    # ensure tests are all the same type
    try:
        test_type = get_consistent_value(test_objects, 'test_type')
    except InconsistencyException, exc:
        test1, test2 = exc.args
        raise model_logic.ValidationError(
            {'tests' : 'You cannot run both server- and client-side '
             'tests together (tests %s and %s differ' % (
            test1.name, test2.name)})

    is_server = (test_type == control_data.CONTROL_TYPE.SERVER)
    if test_objects:
        synch_count = max(test.sync_count for test in test_objects)
    else:
        synch_count = 1
    if label:
        label = models.Label.smart_get(label)

    dependencies = set(label.name for label
                       in models.Label.objects.filter(test__in=test_objects))

    cf_info = dict(is_server=is_server, synch_count=synch_count,
                   dependencies=list(dependencies))
    return cf_info, test_objects, profiler_objects, label


def check_job_dependencies(host_objects, job_dependencies):
    """
    Check that a set of machines satisfies a job's dependencies.
    host_objects: list of models.Host objects
    job_dependencies: list of names of labels
    """
    # check that hosts satisfy dependencies
    host_ids = [host.id for host in host_objects]
    hosts_in_job = models.Host.objects.filter(id__in=host_ids)
    ok_hosts = hosts_in_job
    for index, dependency in enumerate(job_dependencies):
        if not provision.is_for_special_action(dependency):
            ok_hosts = ok_hosts.filter(labels__name=dependency)
    failing_hosts = (set(host.hostname for host in host_objects) -
                     set(host.hostname for host in ok_hosts))
    if failing_hosts:
        raise model_logic.ValidationError(
            {'hosts' : 'Host(s) failed to meet job dependencies (' +
                       (', '.join(job_dependencies)) + '): ' +
                       (', '.join(failing_hosts))})


def check_job_metahost_dependencies(metahost_objects, job_dependencies):
    """
    Check that at least one machine within the metahost spec satisfies the job's
    dependencies.

    @param metahost_objects A list of label objects representing the metahosts.
    @param job_dependencies A list of strings of the required label names.
    @raises NoEligibleHostException If a metahost cannot run the job.
    """
    for metahost in metahost_objects:
        hosts = models.Host.objects.filter(labels=metahost)
        for label_name in job_dependencies:
            if not provision.is_for_special_action(label_name):
                hosts = hosts.filter(labels__name=label_name)
        if not any(hosts):
            raise error.NoEligibleHostException("No hosts within %s satisfy %s."
                    % (metahost.name, ', '.join(job_dependencies)))


def _execution_key_for(host_queue_entry):
    return (host_queue_entry.job.id, host_queue_entry.execution_subdir)


def check_abort_synchronous_jobs(host_queue_entries):
    # ensure user isn't aborting part of a synchronous autoserv execution
    count_per_execution = {}
    for queue_entry in host_queue_entries:
        key = _execution_key_for(queue_entry)
        count_per_execution.setdefault(key, 0)
        count_per_execution[key] += 1

    for queue_entry in host_queue_entries:
        if not queue_entry.execution_subdir:
            continue
        execution_count = count_per_execution[_execution_key_for(queue_entry)]
        if execution_count < queue_entry.job.synch_count:
            raise model_logic.ValidationError(
                {'' : 'You cannot abort part of a synchronous job execution '
                      '(%d/%s), %d included, %d expected'
                      % (queue_entry.job.id, queue_entry.execution_subdir,
                         execution_count, queue_entry.job.synch_count)})


def check_atomic_group_create_job(synch_count, host_objects, metahost_objects,
                                  dependencies, atomic_group):
    """
    Attempt to reject create_job requests with an atomic group that
    will be impossible to schedule.  The checks are not perfect but
    should catch the most obvious issues.

    @param synch_count - The job's minimum synch count.
    @param host_objects - A list of models.Host instances.
    @param metahost_objects - A list of models.Label instances.
    @param dependencies - A list of job dependency label names.
    @param labels_by_name - A dictionary mapping label names to models.Label
            instance.  Used to look up instances for dependencies.

    @raises model_logic.ValidationError - When an issue is found.
    """
    # If specific host objects were supplied with an atomic group, verify
    # that there are enough to satisfy the synch_count.
    minimum_required = synch_count or 1
    if (host_objects and not metahost_objects and
        len(host_objects) < minimum_required):
        raise model_logic.ValidationError(
                {'hosts':
                 'only %d hosts provided for job with synch_count = %d' %
                 (len(host_objects), synch_count)})

    # Check that the atomic group has a hope of running this job
    # given any supplied metahosts and dependancies that may limit.

    # Get a set of hostnames in the atomic group.
    possible_hosts = set()
    for label in atomic_group.label_set.all():
        possible_hosts.update(h.hostname for h in label.host_set.all())

    # Filter out hosts that don't match all of the job dependency labels.
    for label in models.Label.objects.filter(name__in=dependencies):
        hosts_in_label = (h.hostname for h in label.host_set.all())
        possible_hosts.intersection_update(hosts_in_label)

    if not host_objects and not metahost_objects:
        # No hosts or metahosts are required to queue an atomic group Job.
        # However, if they are given, we respect them below.
        host_set = possible_hosts
    else:
        host_set = set(host.hostname for host in host_objects)
        unusable_host_set = host_set.difference(possible_hosts)
        if unusable_host_set:
            raise model_logic.ValidationError(
                {'hosts': 'Hosts "%s" are not in Atomic Group "%s"' %
                 (', '.join(sorted(unusable_host_set)), atomic_group.name)})

    # Lookup hosts provided by each meta host and merge them into the
    # host_set for final counting.
    for meta_host in metahost_objects:
        meta_possible = possible_hosts.copy()
        hosts_in_meta_host = (h.hostname for h in meta_host.host_set.all())
        meta_possible.intersection_update(hosts_in_meta_host)

        # Count all hosts that this meta_host will provide.
        host_set.update(meta_possible)

    if len(host_set) < minimum_required:
        raise model_logic.ValidationError(
                {'atomic_group_name':
                 'Insufficient hosts in Atomic Group "%s" with the'
                 ' supplied dependencies and meta_hosts.' %
                 (atomic_group.name,)})


def check_modify_host(update_data):
    """
    Sanity check modify_host* requests.

    @param update_data: A dictionary with the changes to make to a host
            or hosts.
    """
    # Only the scheduler (monitor_db) is allowed to modify Host status.
    # Otherwise race conditions happen as a hosts state is changed out from
    # beneath tasks being run on a host.
    if 'status' in update_data:
        raise model_logic.ValidationError({
                'status': 'Host status can not be modified by the frontend.'})


def check_modify_host_locking(host, update_data):
    """
    Checks when locking/unlocking has been requested if the host is already
    locked/unlocked.

    @param host: models.Host object to be modified
    @param update_data: A dictionary with the changes to make to the host.
    """
    locked = update_data.get('locked', None)
    lock_reason = update_data.get('lock_reason', None)
    if locked is not None:
        if locked and host.locked:
            raise model_logic.ValidationError({
                    'locked': 'Host already locked by %s on %s.' %
                    (host.locked_by, host.lock_time)})
        if not locked and not host.locked:
            raise model_logic.ValidationError({
                    'locked': 'Host already unlocked.'})
        if locked and not lock_reason and not host.locked:
            raise model_logic.ValidationError({
                    'locked': 'Please provide a reason for locking'})


def get_motd():
    dirname = os.path.dirname(__file__)
    filename = os.path.join(dirname, "..", "..", "motd.txt")
    text = ''
    try:
        fp = open(filename, "r")
        try:
            text = fp.read()
        finally:
            fp.close()
    except:
        pass

    return text


def _get_metahost_counts(metahost_objects):
    metahost_counts = {}
    for metahost in metahost_objects:
        metahost_counts.setdefault(metahost, 0)
        metahost_counts[metahost] += 1
    return metahost_counts


def get_job_info(job, preserve_metahosts=False, queue_entry_filter_data=None):
    hosts = []
    one_time_hosts = []
    meta_hosts = []
    atomic_group = None
    hostless = False

    queue_entries = job.hostqueueentry_set.all()
    if queue_entry_filter_data:
        queue_entries = models.HostQueueEntry.query_objects(
            queue_entry_filter_data, initial_query=queue_entries)

    for queue_entry in queue_entries:
        if (queue_entry.host and (preserve_metahosts or
                                  not queue_entry.meta_host)):
            if queue_entry.deleted:
                continue
            if queue_entry.host.invalid:
                one_time_hosts.append(queue_entry.host)
            else:
                hosts.append(queue_entry.host)
        elif queue_entry.meta_host:
            meta_hosts.append(queue_entry.meta_host)
        else:
            hostless = True

        if atomic_group is None:
            if queue_entry.atomic_group is not None:
                atomic_group = queue_entry.atomic_group
        else:
            assert atomic_group.name == queue_entry.atomic_group.name, (
                    'DB inconsistency.  HostQueueEntries with multiple atomic'
                    ' groups on job %s: %s != %s' % (
                        id, atomic_group.name, queue_entry.atomic_group.name))

    meta_host_counts = _get_metahost_counts(meta_hosts)

    info = dict(dependencies=[label.name for label
                              in job.dependency_labels.all()],
                hosts=hosts,
                meta_hosts=meta_hosts,
                meta_host_counts=meta_host_counts,
                one_time_hosts=one_time_hosts,
                atomic_group=atomic_group,
                hostless=hostless)
    return info


def check_for_duplicate_hosts(host_objects):
    host_ids = set()
    duplicate_hostnames = set()
    for host in host_objects:
        if host.id in host_ids:
            duplicate_hostnames.add(host.hostname)
        host_ids.add(host.id)

    if duplicate_hostnames:
        raise model_logic.ValidationError(
                {'hosts' : 'Duplicate hosts: %s'
                 % ', '.join(duplicate_hostnames)})


def create_new_job(owner, options, host_objects, metahost_objects,
                   atomic_group=None):
    all_host_objects = host_objects + metahost_objects
    metahost_counts = _get_metahost_counts(metahost_objects)
    dependencies = options.get('dependencies', [])
    synch_count = options.get('synch_count')

    if atomic_group:
        check_atomic_group_create_job(
                synch_count, host_objects, metahost_objects,
                dependencies, atomic_group)
    else:
        if synch_count is not None and synch_count > len(all_host_objects):
            raise model_logic.ValidationError(
                    {'hosts':
                     'only %d hosts provided for job with synch_count = %d' %
                     (len(all_host_objects), synch_count)})
        atomic_hosts = models.Host.objects.filter(
                id__in=[host.id for host in host_objects],
                labels__atomic_group=True)
        unusable_host_names = [host.hostname for host in atomic_hosts]
        if unusable_host_names:
            raise model_logic.ValidationError(
                    {'hosts':
                     'Host(s) "%s" are atomic group hosts but no '
                     'atomic group was specified for this job.' %
                     (', '.join(unusable_host_names),)})

    check_for_duplicate_hosts(host_objects)

    for label_name in dependencies:
        if provision.is_for_special_action(label_name):
            # TODO: We could save a few queries
            # if we had a bulk ensure-label-exists function, which used
            # a bulk .get() call. The win is probably very small.
            _ensure_label_exists(label_name)

    # This only checks targeted hosts, not hosts eligible due to the metahost
    check_job_dependencies(host_objects, dependencies)
    check_job_metahost_dependencies(metahost_objects, dependencies)

    options['dependencies'] = list(
            models.Label.objects.filter(name__in=dependencies))

    for label in metahost_objects + options['dependencies']:
        if label.atomic_group and not atomic_group:
            raise model_logic.ValidationError(
                    {'atomic_group_name':
                     'Dependency %r requires an atomic group but no '
                     'atomic_group_name or meta_host in an atomic group was '
                     'specified for this job.' % label.name})
        elif (label.atomic_group and
              label.atomic_group.name != atomic_group.name):
            raise model_logic.ValidationError(
                    {'atomic_group_name':
                     'meta_hosts or dependency %r requires atomic group '
                     '%r instead of the supplied atomic_group_name=%r.' %
                     (label.name, label.atomic_group.name, atomic_group.name)})

    job = models.Job.create(owner=owner, options=options,
                            hosts=all_host_objects)
    job.queue(all_host_objects, atomic_group=atomic_group,
              is_template=options.get('is_template', False))
    return job.id


def _ensure_label_exists(name):
    """
    Ensure that a label called |name| exists in the Django models.

    This function is to be called from within afe rpcs only, as an
    alternative to server.cros.provision.ensure_label_exists(...). It works
    by Django model manipulation, rather than by making another create_label
    rpc call.

    @param name: the label to check for/create.
    @raises ValidationError: There was an error in the response that was
                             not because the label already existed.
    @returns True is a label was created, False otherwise.
    """
    try:
        models.Label.objects.get(name=name)
    except models.Label.DoesNotExist:
        new_label = models.Label.objects.create(name=name)
        new_label.save()
        return True
    return False


def find_platform_and_atomic_group(host):
    """
    Figure out the platform name and atomic group name for the given host
    object.  If none, the return value for either will be None.

    @returns (platform name, atomic group name) for the given host.
    """
    platforms = [label.name for label in host.label_list if label.platform]
    if not platforms:
        platform = None
    else:
        platform = platforms[0]
    if len(platforms) > 1:
        raise ValueError('Host %s has more than one platform: %s' %
                         (host.hostname, ', '.join(platforms)))
    for label in host.label_list:
        if label.atomic_group:
            atomic_group_name = label.atomic_group.name
            break
    else:
        atomic_group_name = None
    # Don't check for multiple atomic groups on a host here.  That is an
    # error but should not trip up the RPC interface.  monitor_db_cleanup
    # deals with it.  This just returns the first one found.
    return platform, atomic_group_name


# support for get_host_queue_entries_and_special_tasks()

def _common_entry_to_dict(entry, type, job_dict, exec_path, status, started_on):
    return dict(type=type,
                host=entry['host'],
                job=job_dict,
                execution_path=exec_path,
                status=status,
                started_on=started_on,
                id=str(entry['id']) + type,
                oid=entry['id'])


def _special_task_to_dict(task, queue_entries):
    """Transforms a special task dictionary to another form of dictionary.

    @param task           Special task as a dictionary type
    @param queue_entries  Host queue entries as a list of dictionaries.

    @return Transformed dictionary for a special task.
    """
    job_dict = None
    if task['queue_entry']:
        # Scan queue_entries to get the job detail info.
        for qentry in queue_entries:
            if task['queue_entry']['id'] == qentry['id']:
                job_dict = qentry['job']
                break
        # If not found, get it from DB.
        if job_dict is None:
            job = models.Job.objects.get(id=task['queue_entry']['job'])
            job_dict = job.get_object_dict()

    exec_path = server_utils.get_special_task_exec_path(
            task['host']['hostname'], task['id'], task['task'],
            time_utils.time_string_to_datetime(task['time_requested']))
    status = server_utils.get_special_task_status(
            task['is_complete'], task['success'], task['is_active'])
    return _common_entry_to_dict(task, task['task'], job_dict,
            exec_path, status, task['time_started'])


def _queue_entry_to_dict(queue_entry):
    job_dict = queue_entry['job']
    tag = server_utils.get_job_tag(job_dict['id'], job_dict['owner'])
    exec_path = server_utils.get_hqe_exec_path(tag,
                                               queue_entry['execution_subdir'])
    return _common_entry_to_dict(queue_entry, 'Job', job_dict, exec_path,
            queue_entry['status'], queue_entry['started_on'])


def prepare_host_queue_entries_and_special_tasks(interleaved_entries,
                                                 queue_entries):
    """
    Prepare for serialization the interleaved entries of host queue entries
    and special tasks.
    Each element in the entries is a dictionary type.
    The special task dictionary has only a job id for a job and lacks
    the detail of the job while the host queue entry dictionary has.
    queue_entries is used to look up the job detail info.

    @param interleaved_entries  Host queue entries and special tasks as a list
                                of dictionaries.
    @param queue_entries        Host queue entries as a list of dictionaries.

    @return A post-processed list of dictionaries that is to be serialized.
    """
    dict_list = []
    for e in interleaved_entries:
        # Distinguish the two mixed entries based on the existence of
        # the key "task". If an entry has the key, the entry is for
        # special task. Otherwise, host queue entry.
        if 'task' in e:
            dict_list.append(_special_task_to_dict(e, queue_entries))
        else:
            dict_list.append(_queue_entry_to_dict(e))
    return prepare_for_serialization(dict_list)


def _compute_next_job_for_tasks(queue_entries, special_tasks):
    """
    For each task, try to figure out the next job that ran after that task.
    This is done using two pieces of information:
    * if the task has a queue entry, we can use that entry's job ID.
    * if the task has a time_started, we can try to compare that against the
      started_on field of queue_entries. this isn't guaranteed to work perfectly
      since queue_entries may also have null started_on values.
    * if the task has neither, or if use of time_started fails, just use the
      last computed job ID.

    @param queue_entries    Host queue entries as a list of dictionaries.
    @param special_tasks    Special tasks as a list of dictionaries.
    """
    next_job_id = None # most recently computed next job
    hqe_index = 0 # index for scanning by started_on times
    for task in special_tasks:
        if task['queue_entry']:
            next_job_id = task['queue_entry']['job']
        elif task['time_started'] is not None:
            for queue_entry in queue_entries[hqe_index:]:
                if queue_entry['started_on'] is None:
                    continue
                t1 = time_utils.time_string_to_datetime(
                        queue_entry['started_on'])
                t2 = time_utils.time_string_to_datetime(task['time_started'])
                if t1 < t2:
                    break
                next_job_id = queue_entry['job']['id']

        task['next_job_id'] = next_job_id

        # advance hqe_index to just after next_job_id
        if next_job_id is not None:
            for queue_entry in queue_entries[hqe_index:]:
                if queue_entry['job']['id'] < next_job_id:
                    break
                hqe_index += 1


def interleave_entries(queue_entries, special_tasks):
    """
    Both lists should be ordered by descending ID.
    """
    _compute_next_job_for_tasks(queue_entries, special_tasks)

    # start with all special tasks that've run since the last job
    interleaved_entries = []
    for task in special_tasks:
        if task['next_job_id'] is not None:
            break
        interleaved_entries.append(task)

    # now interleave queue entries with the remaining special tasks
    special_task_index = len(interleaved_entries)
    for queue_entry in queue_entries:
        interleaved_entries.append(queue_entry)
        # add all tasks that ran between this job and the previous one
        for task in special_tasks[special_task_index:]:
            if task['next_job_id'] < queue_entry['job']['id']:
                break
            interleaved_entries.append(task)
            special_task_index += 1

    return interleaved_entries


def bucket_hosts_by_shard(host_objs, rpc_hostnames=False):
    """Figure out which hosts are on which shards.

    @param host_objs: A list of host objects.
    @param rpc_hostnames: If True, the rpc_hostnames of a shard are returned
        instead of the 'real' shard hostnames. This only matters for testing
        environments.

    @return: A map of shard hostname: list of hosts on the shard.
    """
    shard_host_map = {}
    for host in host_objs:
        if host.shard:
            shard_name = (host.shard.rpc_hostname() if rpc_hostnames
                          else host.shard.hostname)
            shard_host_map.setdefault(shard_name, []).append(host.hostname)
    return shard_host_map


def get_create_job_common_args(local_args):
    """
    Returns a dict containing only the args that apply for create_job_common

    Returns a subset of local_args, which contains only the arguments that can
    be passed in to create_job_common().
    """
    # This code is only here to not kill suites scheduling tests when priority
    # becomes an int instead of a string.
    if isinstance(local_args['priority'], str):
        local_args['priority'] = priorities.Priority.DEFAULT
    # </migration hack>
    arg_names, _, _, _ = inspect.getargspec(create_job_common)
    return dict(item for item in local_args.iteritems() if item[0] in arg_names)


def create_job_common(name, priority, control_type, control_file=None,
                      hosts=(), meta_hosts=(), one_time_hosts=(),
                      atomic_group_name=None, synch_count=None,
                      is_template=False, timeout=None, timeout_mins=None,
                      max_runtime_mins=None, run_verify=True, email_list='',
                      dependencies=(), reboot_before=None, reboot_after=None,
                      parse_failed_repair=None, hostless=False, keyvals=None,
                      drone_set=None, parameterized_job=None,
                      parent_job_id=None, test_retry=0, run_reset=True,
                      require_ssp=None):
    #pylint: disable-msg=C0111
    """
    Common code between creating "standard" jobs and creating parameterized jobs
    """
    user = models.User.current_user()
    owner = user.login

    # input validation
    if not (hosts or meta_hosts or one_time_hosts or atomic_group_name
            or hostless):
        raise model_logic.ValidationError({
            'arguments' : "You must pass at least one of 'hosts', "
                          "'meta_hosts', 'one_time_hosts', "
                          "'atomic_group_name', or 'hostless'"
            })

    if hostless:
        if hosts or meta_hosts or one_time_hosts or atomic_group_name:
            raise model_logic.ValidationError({
                    'hostless': 'Hostless jobs cannot include any hosts!'})
        server_type = control_data.CONTROL_TYPE_NAMES.SERVER
        if control_type != server_type:
            raise model_logic.ValidationError({
                    'control_type': 'Hostless jobs cannot use client-side '
                                    'control files'})

    atomic_groups_by_name = dict((ag.name, ag)
                                 for ag in models.AtomicGroup.objects.all())
    label_objects = list(models.Label.objects.filter(name__in=meta_hosts))

    # Schedule on an atomic group automagically if one of the labels given
    # is an atomic group label and no explicit atomic_group_name was supplied.
    if not atomic_group_name:
        for label in label_objects:
            if label and label.atomic_group:
                atomic_group_name = label.atomic_group.name
                break
    # convert hostnames & meta hosts to host/label objects
    host_objects = models.Host.smart_get_bulk(hosts)
    if not server_utils.is_shard():
        shard_host_map = bucket_hosts_by_shard(host_objects)
        num_shards = len(shard_host_map)
        if (num_shards > 1 or (num_shards == 1 and
                len(shard_host_map.values()[0]) != len(host_objects))):
            # We disallow the following jobs on master:
            #   num_shards > 1: this is a job spanning across multiple shards.
            #   num_shards == 1 but number of hosts on shard is less
            #   than total number of hosts: this is a job that spans across
            #   one shard and the master.
            raise ValueError(
                    'The following hosts are on shard(s), please create '
                    'seperate jobs for hosts on each shard: %s ' %
                    shard_host_map)
    metahost_objects = []
    meta_host_labels_by_name = {label.name: label for label in label_objects}
    for label_name in meta_hosts or []:
        if label_name in meta_host_labels_by_name:
            metahost_objects.append(meta_host_labels_by_name[label_name])
        elif label_name in atomic_groups_by_name:
            # If given a metahost name that isn't a Label, check to
            # see if the user was specifying an Atomic Group instead.
            atomic_group = atomic_groups_by_name[label_name]
            if atomic_group_name and atomic_group_name != atomic_group.name:
                raise model_logic.ValidationError({
                        'meta_hosts': (
                                'Label "%s" not found.  If assumed to be an '
                                'atomic group it would conflict with the '
                                'supplied atomic group "%s".' % (
                                        label_name, atomic_group_name))})
            atomic_group_name = atomic_group.name
        else:
            raise model_logic.ValidationError(
                {'meta_hosts' : 'Label "%s" not found' % label_name})

    # Create and sanity check an AtomicGroup object if requested.
    if atomic_group_name:
        if one_time_hosts:
            raise model_logic.ValidationError(
                    {'one_time_hosts':
                     'One time hosts cannot be used with an Atomic Group.'})
        atomic_group = models.AtomicGroup.smart_get(atomic_group_name)
        if synch_count and synch_count > atomic_group.max_number_of_machines:
            raise model_logic.ValidationError(
                    {'atomic_group_name' :
                     'You have requested a synch_count (%d) greater than the '
                     'maximum machines in the requested Atomic Group (%d).' %
                     (synch_count, atomic_group.max_number_of_machines)})
    else:
        atomic_group = None

    for host in one_time_hosts or []:
        this_host = models.Host.create_one_time_host(host)
        host_objects.append(this_host)

    options = dict(name=name,
                   priority=priority,
                   control_file=control_file,
                   control_type=control_type,
                   is_template=is_template,
                   timeout=timeout,
                   timeout_mins=timeout_mins,
                   max_runtime_mins=max_runtime_mins,
                   synch_count=synch_count,
                   run_verify=run_verify,
                   email_list=email_list,
                   dependencies=dependencies,
                   reboot_before=reboot_before,
                   reboot_after=reboot_after,
                   parse_failed_repair=parse_failed_repair,
                   keyvals=keyvals,
                   drone_set=drone_set,
                   parameterized_job=parameterized_job,
                   parent_job_id=parent_job_id,
                   test_retry=test_retry,
                   run_reset=run_reset,
                   require_ssp=require_ssp)
    return create_new_job(owner=owner,
                          options=options,
                          host_objects=host_objects,
                          metahost_objects=metahost_objects,
                          atomic_group=atomic_group)


def encode_ascii(control_file):
    """Force a control file to only contain ascii characters.

    @param control_file: Control file to encode.

    @returns the control file in an ascii encoding.

    @raises error.ControlFileMalformed: if encoding fails.
    """
    try:
        return control_file.encode('ascii')
    except UnicodeDecodeError as e:
        raise error.ControlFileMalformed(str(e))


def get_wmatrix_url():
    """Get wmatrix url from config file.

    @returns the wmatrix url or an empty string.
    """
    return global_config.global_config.get_config_value('AUTOTEST_WEB',
                                                        'wmatrix_url',
                                                        default='')


def inject_times_to_filter(start_time_key=None, end_time_key=None,
                         start_time_value=None, end_time_value=None,
                         **filter_data):
    """Inject the key value pairs of start and end time if provided.

    @param start_time_key: A string represents the filter key of start_time.
    @param end_time_key: A string represents the filter key of end_time.
    @param start_time_value: Start_time value.
    @param end_time_value: End_time value.

    @returns the injected filter_data.
    """
    if start_time_value:
        filter_data[start_time_key] = start_time_value
    if end_time_value:
        filter_data[end_time_key] = end_time_value
    return filter_data


def inject_times_to_hqe_special_tasks_filters(filter_data_common,
                                              start_time, end_time):
    """Inject start and end time to hqe and special tasks filters.

    @param filter_data_common: Common filter for hqe and special tasks.
    @param start_time_key: A string represents the filter key of start_time.
    @param end_time_key: A string represents the filter key of end_time.

    @returns a pair of hqe and special tasks filters.
    """
    filter_data_special_tasks = filter_data_common.copy()
    return (inject_times_to_filter('started_on__gte', 'started_on__lte',
                                   start_time, end_time, **filter_data_common),
           inject_times_to_filter('time_started__gte', 'time_started__lte',
                                  start_time, end_time,
                                  **filter_data_special_tasks))


def retrieve_shard(shard_hostname):
    """
    Retrieves the shard with the given hostname from the database.

    @param shard_hostname: Hostname of the shard to retrieve

    @raises models.Shard.DoesNotExist, if no shard with this hostname was found.

    @returns: Shard object
    """
    timer = autotest_stats.Timer('shard_heartbeat.retrieve_shard')
    with timer:
        return models.Shard.smart_get(shard_hostname)


def find_records_for_shard(shard, known_job_ids, known_host_ids):
    """Find records that should be sent to a shard.

    @param shard: Shard to find records for.
    @param known_job_ids: List of ids of jobs the shard already has.
    @param known_host_ids: List of ids of hosts the shard already has.

    @returns: Tuple of three lists for hosts, jobs, and suite job keyvals:
              (hosts, jobs, suite_job_keyvals).
    """
    timer = autotest_stats.Timer('shard_heartbeat')
    with timer.get_client('find_hosts'):
        hosts = models.Host.assign_to_shard(shard, known_host_ids)
    with timer.get_client('find_jobs'):
        jobs = models.Job.assign_to_shard(shard, known_job_ids)
    with timer.get_client('find_suite_job_keyvals'):
        parent_job_ids = [job.parent_job_id for job in jobs]
        suite_job_keyvals = models.JobKeyval.objects.filter(
                job_id__in=parent_job_ids)
    return hosts, jobs, suite_job_keyvals


def _persist_records_with_type_sent_from_shard(
    shard, records, record_type, *args, **kwargs):
    """
    Handle records of a specified type that were sent to the shard master.

    @param shard: The shard the records were sent from.
    @param records: The records sent in their serialized format.
    @param record_type: Type of the objects represented by records.
    @param args: Additional arguments that will be passed on to the sanity
                 checks.
    @param kwargs: Additional arguments that will be passed on to the sanity
                  checks.

    @raises error.UnallowedRecordsSentToMaster if any of the sanity checks fail.

    @returns: List of primary keys of the processed records.
    """
    pks = []
    for serialized_record in records:
        pk = serialized_record['id']
        try:
            current_record = record_type.objects.get(pk=pk)
        except record_type.DoesNotExist:
            raise error.UnallowedRecordsSentToMaster(
                'Object with pk %s of type %s does not exist on master.' % (
                    pk, record_type))

        current_record.sanity_check_update_from_shard(
            shard, serialized_record, *args, **kwargs)

        current_record.update_from_serialized(serialized_record)
        pks.append(pk)
    return pks


def persist_records_sent_from_shard(shard, jobs, hqes):
    """
    Sanity checking then saving serialized records sent to master from shard.

    During heartbeats shards upload jobs and hostqueuentries. This performs
    some sanity checks on these and then updates the existing records for those
    entries with the updated ones from the heartbeat.

    The sanity checks include:
    - Checking if the objects sent already exist on the master.
    - Checking if the objects sent were assigned to this shard.
    - hostqueueentries must be sent together with their jobs.

    @param shard: The shard the records were sent from.
    @param jobs: The jobs the shard sent.
    @param hqes: The hostqueuentries the shart sent.

    @raises error.UnallowedRecordsSentToMaster if any of the sanity checks fail.
    """
    timer = autotest_stats.Timer('shard_heartbeat')
    with timer.get_client('persist_jobs'):
        job_ids_sent = _persist_records_with_type_sent_from_shard(
                shard, jobs, models.Job)

    with timer.get_client('persist_hqes'):
        _persist_records_with_type_sent_from_shard(
                shard, hqes, models.HostQueueEntry, job_ids_sent=job_ids_sent)


def forward_single_host_rpc_to_shard(func):
    """This decorator forwards rpc calls that modify a host to a shard.

    If a host is assigned to a shard, rpcs that change his attributes should be
    forwarded to the shard.

    This assumes the first argument of the function represents a host id.

    @param func: The function to decorate

    @returns: The function to replace func with.
    """
    def replacement(**kwargs):
        # Only keyword arguments can be accepted here, as we need the argument
        # names to send the rpc. serviceHandler always provides arguments with
        # their keywords, so this is not a problem.
        host = models.Host.smart_get(kwargs['id'])
        if host.shard and not server_utils.is_shard():
            run_rpc_on_multiple_hostnames(func.func_name,
                                          [host.shard.rpc_hostname()],
                                          **kwargs)
        return func(**kwargs)

    return replacement


def fanout_rpc(host_objs, rpc_name, include_hostnames=True, **kwargs):
    """Fanout the given rpc to all shards.

    @param host_objs: Host objects for the rpc.
    @param rpc_name: The name of the rpc.
    @param include_hostnames: If True, include the hostnames in the kwargs.
        Hostnames are not always necessary, this functions is designed to
        send rpcs to the shard a host is on, the rpcs themselves could be
        related to labels, acls etc.
    @param kwargs: The kwargs for the rpc.
    """
    # Fanout should only happen from the master to the shards.
    if server_utils.is_shard():
        return

    # Figure out which hosts are on which shards.
    shard_host_map = bucket_hosts_by_shard(
            host_objs, rpc_hostnames=True)

    # Execute the rpc against the appropriate shards.
    for shard, hostnames in shard_host_map.iteritems():
        if include_hostnames:
            kwargs['hosts'] = hostnames
        try:
            run_rpc_on_multiple_hostnames(rpc_name, [shard], **kwargs)
        except:
            ei = sys.exc_info()
            new_exc = error.RPCException('RPC %s failed on shard %s due to '
                    '%s: %s' % (rpc_name, shard, ei[0].__name__, ei[1]))
            raise new_exc.__class__, new_exc, ei[2]


def forward_multi_host_rpc_to_shards(func):
    """This decorator forwards rpc calls that modify multiple hosts.

    If a host is assigned to a shard, rpcs that change his attributes should be
    forwarded to the shard. Some calls however, take a list of hosts and a
    single id to modify, eg: label_add_hosts. This wrapper will sift through
    the list of hosts, find each of their shards, and forward the rpc for
    those hosts to that shard before calling the local version of the given rpc.

    This assumes:
        1. The rpc call uses `smart_get` to retrieve host objects, not the
           stock django `get` call. This is true for most, if not all rpcs in
           the rpc_interface.
        2. The kwargs to the function contain either a list of host ids or
           hostnames, keyed under 'hosts'. This is true for all the rpc
           functions that use 'smart_get'.

    @param func: The function to decorate

    @returns: The function to replace func with.
    """
    def replacement(**kwargs):
        fanout_rpc(
                models.Host.smart_get_bulk(kwargs['hosts']),
                func.func_name, **kwargs)
        return func(**kwargs)

    return replacement


def run_rpc_on_multiple_hostnames(rpc_call, shard_hostnames, **kwargs):
    """Runs an rpc to multiple AFEs

    This is i.e. used to propagate changes made to hosts after they are assigned
    to a shard.

    @param rpc_call: Name of the rpc endpoint to call.
    @param shard_hostnames: List of hostnames to run the rpcs on.
    @param **kwargs: Keyword arguments to pass in the rpcs.
    """
    for shard_hostname in shard_hostnames:
        afe = frontend.AFE(server=shard_hostname)
        afe.run(rpc_call, **kwargs)


def get_label(name):
    """Gets a label object using a given name.

    @param name: Label name.
    @raises model.Label.DoesNotExist: when there is no label matching
                                      the given name.
    @return: a label object matching the given name.
    """
    try:
        label = models.Label.smart_get(name)
    except models.Label.DoesNotExist:
        return None
    return label


def get_global_afe_hostname():
    """Read the hostname of the global AFE from the global configuration."""
    return global_config.global_config.get_config_value(
            'SHARD', 'global_afe_hostname')


def route_rpc_to_master(rpc_name, **kwargs):
    """Route RPC to master AFE.

    @param rpc_name: The name of the rpc.
    @param **kwargs: The kwargs for the rpc.

    """
    master_afe = frontend.AFE(server=get_global_afe_hostname())
    return master_afe.run(rpc_name, **kwargs)