def _get_usage_info(service, date, verbose=False):
    """date should be a YYYY-MM-DD string.  Returns a list of dicts."""
    # The info we want is at, e.g.
    # https://console.developers.google.com/m/cloudstorage/b/ka_billing_export/o/khanacademy.org-2015-07-27.csv
    bucketname = 'ka_billing_export'
    filename = 'khanacademy.org-%s.csv' % date
    if verbose:
        print 'Fetching %s from bucket %s' % (filename, bucketname)
    try:
        csv_contents = cloudmonitoring_util.execute_with_retries(
            service.objects().get_media(bucket=bucketname, object=filename))
    except apiclient.errors.HttpError as e:
        if e.resp['status'] == '404':
            raise UsageRecordNotFound(date)
        raise

    return list(csv.DictReader(cStringIO.StringIO(csv_contents)))
def _get_usage_info(service, date, verbose=False):
    """date should be a YYYY-MM-DD string.  Returns a list of dicts."""
    # The info we want is at, e.g.
    # https://console.developers.google.com/m/cloudstorage/b/ka_billing_export/o/khanacademy.org-2015-07-27.csv
    bucketname = "ka_billing_export"
    filename = "khanacademy.org-%s.csv" % date
    if verbose:
        print "Fetching %s from bucket %s" % (filename, bucketname)
    try:
        csv_contents = cloudmonitoring_util.execute_with_retries(
            service.objects().get_media(bucket=bucketname, object=filename)
        )
    except apiclient.errors.HttpError as e:
        if e.resp["status"] == "404":
            raise UsageRecordNotFound(date)
        raise

    return list(csv.DictReader(cStringIO.StringIO(csv_contents)))
def _get_timeseries(metric, project_id, start_time_t, end_time_t):
    """service.timeseries().list(), but with caching and auto-paging."""
    global _TIMESERIES

    cache_key = (project_id, metric, start_time_t, end_time_t)
    if cache_key in _TIMESERIES_CACHE:
        return _TIMESERIES_CACHE[cache_key]

    if _TIMESERIES is None:
        service = cloudmonitoring_util.get_cloudmonitoring_service()
        _TIMESERIES = service.timeseries()

    retval = {'timeseries': []}
    page_token = None
    while True:
        # TODO(csilvers): do I want to set 'window'?
        r = cloudmonitoring_util.execute_with_retries(
            _TIMESERIES.list(
                project=project_id,
                metric=metric,
                oldest=cloudmonitoring_util.to_rfc3339(start_time_t),
                youngest=cloudmonitoring_util.to_rfc3339(end_time_t),
                pageToken=page_token,
                count=10000))

        # Merge these fields into retval.
        retval['kind'] = r['kind']
        # Luckily, RFC3339 dates can be lexicographically compared.
        if 'youngest' not in retval or r['youngest'] > retval['youngest']:
            retval['youngest'] = r['youngest']
        if 'oldest' not in retval or r['oldest'] < retval['oldest']:
            retval['oldest'] = r['oldest']

        retval['timeseries'].extend(r.get('timeseries', []))

        # Go to the next page of results, if necessary.
        if 'nextPageToken' in r:
            page_token = r['nextPageToken']
        else:
            break

    _TIMESERIES_CACHE[cache_key] = retval
    return _TIMESERIES_CACHE[cache_key]
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def _get_serial_port_output_lines_from_cloud_compute(service, project_id,
                                                     gce_instance):
    """Return a list of serial port output lines for the gce instance.

    List of serial port output lines for the gce instance is ordered from
    least recent to most recent. With each port output as a separate list
    entry.

    Documentation: cloud.google.com/compute/docs/reference/latest/instances
    Examples of expected serial_port_output lines:

    Failed instance:
        gcm-StatusUpdate:TIME=1467830173000;STATUS=HEALTH_CHECK_UNHEALTHY;
            STATUS_MESSAGE=0
        gcm-Heartbeat:1467830173000
        gcm-StatusUpdate:TIME=1467830178000;STATUS=HEALTH_CHECK_UNHEALTHY;
            STATUS_MESSAGE=0
        gcm-StatusUpdate:TIME=1467830183000;STATUS=HEALTH_CHECK_UNHEALTHY;
            STATUS_MESSAGE=0

    Healthy instance:
        gcm-StatusUpdate:TIME=1467826034000;STATUS=ALL_COMMANDS_SUCCEEDED
        gcm-Heartbeat:1467830669000
        gcm-StatusUpdate:TIME=1467826034000;STATUS=ALL_COMMANDS_SUCCEEDED
        gcm-Heartbeat:1467830699000
        gcm-StatusUpdate:TIME=1467826034000;STATUS=ALL_COMMANDS_SUCCEEDED
    """
    request = service.instances().getSerialPortOutput(
        project=project_id,
        zone=gce_instance.zone_name,
        instance=gce_instance.instance_name)
    try:
        response = cloudmonitoring_util.execute_with_retries(request)
    # This can fail, for example when an instance is spinning up.
    except apiclient.errors.HttpError:
        return []
    return response['contents'].split('\n')
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def _get_timeseries(metric, project_id, start_time_t, end_time_t):
    """service.projects().timeSeries().list() plus caching and auto-paging."""
    global _TIMESERIES

    cache_key = (project_id, metric, start_time_t, end_time_t)
    if cache_key in _TIMESERIES_CACHE:
        return _TIMESERIES_CACHE[cache_key]

    if _TIMESERIES is None:
        service = cloudmonitoring_util.get_cloud_service('monitoring', 'v3')
        _TIMESERIES = service.projects().timeSeries()

    retval = {'timeSeries': []}
    page_token = None
    while True:
        # TODO(csilvers): do I want to set 'window'?
        r = cloudmonitoring_util.execute_with_retries(
            _TIMESERIES.list(
                name='projects/%s' % project_id,
                filter='metric.type = "%s"' % metric,
                interval_startTime=cloudmonitoring_util.to_rfc3339(
                    start_time_t),
                interval_endTime=cloudmonitoring_util.to_rfc3339(end_time_t),
                pageToken=page_token,
                pageSize=10000))

        retval['timeSeries'].extend(r.get('timeSeries', []))

        # Go to the next page of results, if necessary.
        if 'nextPageToken' in r:
            page_token = r['nextPageToken']
        else:
            break

    _TIMESERIES_CACHE[cache_key] = retval
    return _TIMESERIES_CACHE[cache_key]
def _get_serial_port_output_lines_from_cloud_compute(service, project_id,
                                                     gce_instance):
    """Return a list of serial port output lines for the gce instance.

    List of serial port output lines for the gce instance is ordered from
    least recent to most recent. With each port output as a separate list
    entry.

    Documentation: cloud.google.com/compute/docs/reference/latest/instances
    Examples of expected serial_port_output lines:

    Failed instance:
        gcm-StatusUpdate:TIME=1467830173000;STATUS=HEALTH_CHECK_UNHEALTHY;
            STATUS_MESSAGE=0
        gcm-Heartbeat:1467830173000
        gcm-StatusUpdate:TIME=1467830178000;STATUS=HEALTH_CHECK_UNHEALTHY;
            STATUS_MESSAGE=0
        gcm-StatusUpdate:TIME=1467830183000;STATUS=HEALTH_CHECK_UNHEALTHY;
            STATUS_MESSAGE=0

    Healthy instance:
        gcm-StatusUpdate:TIME=1467826034000;STATUS=ALL_COMMANDS_SUCCEEDED
        gcm-Heartbeat:1467830669000
        gcm-StatusUpdate:TIME=1467826034000;STATUS=ALL_COMMANDS_SUCCEEDED
        gcm-Heartbeat:1467830699000
        gcm-StatusUpdate:TIME=1467826034000;STATUS=ALL_COMMANDS_SUCCEEDED
    """
    request = service.instances().getSerialPortOutput(
        project=project_id, zone=gce_instance.zone_name,
        instance=gce_instance.instance_name)
    try:
        response = cloudmonitoring_util.execute_with_retries(request)
    # This can fail, for example when an instance is spinning up.
    except apiclient.errors.HttpError:
        return []
    return response['contents'].split('\n')
def _get_timeseries(metric, project_id, start_time_t, end_time_t):
    """service.projects().timeSeries().list() plus caching and auto-paging."""
    global _TIMESERIES

    cache_key = (project_id, metric, start_time_t, end_time_t)
    if cache_key in _TIMESERIES_CACHE:
        return _TIMESERIES_CACHE[cache_key]

    if _TIMESERIES is None:
        service = cloudmonitoring_util.get_cloudmonitoring_service()
        _TIMESERIES = service.projects().timeSeries()

    retval = {'timeSeries': []}
    page_token = None
    while True:
        # TODO(csilvers): do I want to set 'window'?
        r = cloudmonitoring_util.execute_with_retries(
            _TIMESERIES.list(
                name='projects/%s' % project_id,
                filter='metric.type = "%s"' % metric,
                interval_startTime=cloudmonitoring_util.to_rfc3339(
                    start_time_t),
                interval_endTime=cloudmonitoring_util.to_rfc3339(end_time_t),
                pageToken=page_token,
                pageSize=10000))

        retval['timeSeries'].extend(r.get('timeSeries', []))

        # Go to the next page of results, if necessary.
        if 'nextPageToken' in r:
            page_token = r['nextPageToken']
        else:
            break

    _TIMESERIES_CACHE[cache_key] = retval
    return _TIMESERIES_CACHE[cache_key]
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def _get_instances_list_from_cloud_compute(service, project_id):
    """Get the aggregated GCE instances list via cloud compute API."""
    request = service.instances().aggregatedList(project=project_id)
    response = cloudmonitoring_util.execute_with_retries(request)
    return response
def _get_instances_list_from_cloud_compute(service, project_id):
    """Get the aggregated GCE instances list via cloud compute API."""
    request = service.instances().aggregatedList(project=project_id)
    response = cloudmonitoring_util.execute_with_retries(request)
    return response