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Add OTLP protocol class & protos (#821)
* Add protos under packages for otlp * Add common otlp proto payload methods * Add new oltp protocol class * Remove ML event from log message * Remove params, add api-key header & expose path The params are not relevant to OTLP so remove these. The api-key header is how we provide the license key to OTLP so add this. The path to upload dimensional metrics and events are different in OTLP so expose the path so it can be overriden inside the coresponding data_collector methods. * Add otlp_port and otlp_host settings * Default to JSON if protobuf not available & warn * Move otlp_utils to core * Call encode in protocol class * Patch issues with data collector * Move resource to utils & add log proto imports --------- Co-authored-by: Tim Pansino <timpansino@gmail.com>
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# Copyright 2010 New Relic, Inc. | ||
# | ||
# Licensed under the Apache License, Version 2.0 (the "License"); | ||
# you may not use this file except in compliance with the License. | ||
# You may obtain a copy of the License at | ||
# | ||
# http://www.apache.org/licenses/LICENSE-2.0 | ||
# | ||
# Unless required by applicable law or agreed to in writing, software | ||
# distributed under the License is distributed on an "AS IS" BASIS, | ||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
# See the License for the specific language governing permissions and | ||
# limitations under the License. | ||
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"""This module provides common utilities for interacting with OTLP protocol buffers.""" | ||
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import logging | ||
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_logger = logging.getLogger(__name__) | ||
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try: | ||
from newrelic.packages.opentelemetry_proto.common_pb2 import AnyValue, KeyValue | ||
from newrelic.packages.opentelemetry_proto.logs_pb2 import ( | ||
LogRecord, | ||
ResourceLogs, | ||
ScopeLogs, | ||
) | ||
from newrelic.packages.opentelemetry_proto.metrics_pb2 import ( | ||
AggregationTemporality, | ||
Metric, | ||
MetricsData, | ||
NumberDataPoint, | ||
ResourceMetrics, | ||
ScopeMetrics, | ||
Sum, | ||
Summary, | ||
SummaryDataPoint, | ||
) | ||
from newrelic.packages.opentelemetry_proto.resource_pb2 import Resource | ||
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AGGREGATION_TEMPORALITY_DELTA = AggregationTemporality.AGGREGATION_TEMPORALITY_DELTA | ||
ValueAtQuantile = SummaryDataPoint.ValueAtQuantile | ||
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otlp_encode = lambda payload: payload.SerializeToString() | ||
OTLP_CONTENT_TYPE = "application/x-protobuf" | ||
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except ImportError: | ||
from newrelic.common.encoding_utils import json_encode | ||
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def otlp_encode(*args, **kwargs): | ||
_logger.warn( | ||
"Using OTLP integration while protobuf is not installed. This may result in larger payload sizes and data loss." | ||
) | ||
return json_encode(*args, **kwargs) | ||
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Resource = dict | ||
ValueAtQuantile = dict | ||
AnyValue = dict | ||
KeyValue = dict | ||
NumberDataPoint = dict | ||
SummaryDataPoint = dict | ||
Sum = dict | ||
Summary = dict | ||
Metric = dict | ||
MetricsData = dict | ||
ScopeMetrics = dict | ||
ResourceMetrics = dict | ||
AGGREGATION_TEMPORALITY_DELTA = 1 | ||
ResourceLogs = dict | ||
ScopeLogs = dict | ||
LogRecord = dict | ||
OTLP_CONTENT_TYPE = "application/json" | ||
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def create_key_value(key, value): | ||
if isinstance(value, bool): | ||
return KeyValue(key=key, value=AnyValue(bool_value=value)) | ||
elif isinstance(value, int): | ||
return KeyValue(key=key, value=AnyValue(int_value=value)) | ||
elif isinstance(value, float): | ||
return KeyValue(key=key, value=AnyValue(double_value=value)) | ||
elif isinstance(value, str): | ||
return KeyValue(key=key, value=AnyValue(string_value=value)) | ||
# Technically AnyValue accepts array, kvlist, and bytes however, since | ||
# those are not valid custom attribute types according to our api spec, | ||
# we will not bother to support them here either. | ||
else: | ||
_logger.warn("Unsupported attribute value type %s: %s." % (key, value)) | ||
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def create_key_values_from_iterable(iterable): | ||
if isinstance(iterable, dict): | ||
iterable = iterable.items() | ||
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# The create_key_value list may return None if the value is an unsupported type | ||
# so filter None values out before returning. | ||
return list( | ||
filter( | ||
lambda i: i is not None, | ||
(create_key_value(key, value) for key, value in iterable), | ||
) | ||
) | ||
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def create_resource(attributes=None): | ||
attributes = attributes or {"instrumentation.provider": "nr_performance_monitoring"} | ||
return Resource(attributes=create_key_values_from_iterable(attributes)) |
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