def create_log_metric(
self,
request: logging_metrics.CreateLogMetricRequest = None,
*,
parent: str = None,
metric: logging_metrics.LogMetric = None,
retry: retries.Retry = gapic_v1.method.DEFAULT,
timeout: float = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> logging_metrics.LogMetric:
r"""Creates a logs-based metric.
Args:
request (google.cloud.logging_v2.types.CreateLogMetricRequest):
The request object. The parameters to CreateLogMetric.
parent (str):
Required. The resource name of the project in which to
create the metric:
::
"projects/[PROJECT_ID]"
The new metric must be provided in the request.
This corresponds to the ``parent`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
metric (google.cloud.logging_v2.types.LogMetric):
Required. The new logs-based metric,
which must not have an identifier that
already exists.
This corresponds to the ``metric`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
retry (google.api_core.retry.Retry): Designation of what errors, if any,
should be retried.
timeout (float): The timeout for this request.
metadata (Sequence[Tuple[str, str]]): Strings which should be
sent along with the request as metadata.
Returns:
google.cloud.logging_v2.types.LogMetric:
Describes a logs-based metric. The
value of the metric is the number of log
entries that match a logs filter in a
given time interval.
Logs-based metrics can also be used to
extract values from logs and create a
distribution of the values. The
distribution records the statistics of
the extracted values along with an
optional histogram of the values as
specified by the bucket options.
"""
# Create or coerce a protobuf request object.
# Sanity check: If we got a request object, we should *not* have
# gotten any keyword arguments that map to the request.
has_flattened_params = any([parent, metric])
if request is not None and has_flattened_params:
raise ValueError('If the `request` argument is set, then none of '
'the individual field arguments should be set.')
# Minor optimization to avoid making a copy if the user passes
# in a logging_metrics.CreateLogMetricRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, logging_metrics.CreateLogMetricRequest):
request = logging_metrics.CreateLogMetricRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if parent is not None:
request.parent = parent
if metric is not None:
request.metric = metric
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[
self._transport.create_log_metric]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (gapic_v1.routing_header.to_grpc_metadata(
(("parent", request.parent), )), )
# Send the request.
response = rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
async def create_log_metric(
self,
request: Union[logging_metrics.CreateLogMetricRequest, dict] = None,
*,
parent: str = None,
metric: logging_metrics.LogMetric = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: float = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> logging_metrics.LogMetric:
r"""Creates a logs-based metric.
.. code-block:: python
from google.cloud import logging_v2
def sample_create_log_metric():
# Create a client
client = logging_v2.MetricsServiceV2Client()
# Initialize request argument(s)
metric = logging_v2.LogMetric()
metric.name = "name_value"
metric.filter = "filter_value"
request = logging_v2.CreateLogMetricRequest(
parent="parent_value",
metric=metric,
)
# Make the request
response = client.create_log_metric(request=request)
# Handle the response
print(response)
Args:
request (Union[google.cloud.logging_v2.types.CreateLogMetricRequest, dict]):
The request object. The parameters to CreateLogMetric.
parent (:class:`str`):
Required. The resource name of the project in which to
create the metric:
::
"projects/[PROJECT_ID]"
The new metric must be provided in the request.
This corresponds to the ``parent`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
metric (:class:`google.cloud.logging_v2.types.LogMetric`):
Required. The new logs-based metric,
which must not have an identifier that
already exists.
This corresponds to the ``metric`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
retry (google.api_core.retry.Retry): Designation of what errors, if any,
should be retried.
timeout (float): The timeout for this request.
metadata (Sequence[Tuple[str, str]]): Strings which should be
sent along with the request as metadata.
Returns:
google.cloud.logging_v2.types.LogMetric:
Describes a logs-based metric. The
value of the metric is the number of log
entries that match a logs filter in a
given time interval.
Logs-based metrics can also be used to
extract values from logs and create a
distribution of the values. The
distribution records the statistics of
the extracted values along with an
optional histogram of the values as
specified by the bucket options.
"""
# Create or coerce a protobuf request object.
# Quick check: If we got a request object, we should *not* have
# gotten any keyword arguments that map to the request.
has_flattened_params = any([parent, metric])
if request is not None and has_flattened_params:
raise ValueError("If the `request` argument is set, then none of "
"the individual field arguments should be set.")
request = logging_metrics.CreateLogMetricRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if parent is not None:
request.parent = parent
if metric is not None:
request.metric = metric
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = gapic_v1.method_async.wrap_method(
self._client._transport.create_log_metric,
default_timeout=60.0,
client_info=DEFAULT_CLIENT_INFO,
)
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (gapic_v1.routing_header.to_grpc_metadata(
(("parent", request.parent), )), )
# Send the request.
response = await rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response