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Version bump for 0.5.dev0 on master (open-telemetry#443)
Rename TracerSource to TracerProvider (open-telemetry#441) Following discussion in open-telemetry#434, align the name with the specification. Co-authored-by: Chris Kleinknecht <[email protected]> Fix new ext READMEs (open-telemetry#444) Some of the new ext packages had ReStructuredText errors. PyPI rejected the uploads for these packages with: HTTPError: 400 Client Error: The description failed to render for 'text/x-rst'. See https://pypi.org/help/#description-content-type for more information. for url: https://upload.pypi.org/legacy/ Adding attach/detach methods as per spec (open-telemetry#429) This change updates the Context API with the following: - removes the remove_value method - removes the set_current method - adds attach and detach methods Fixes open-telemetry#420 Co-authored-by: Chris Kleinknecht <[email protected]> Make Counter and MinMaxSumCount aggregators thread safe (open-telemetry#439) OT Collector trace exporter (open-telemetry#405) Based on the OpenCensus agent exporter. Fixes open-telemetry#343 Co-authored-by: Chris Kleinknecht <[email protected]> API: Renaming TraceOptions to TraceFlags (open-telemetry#450) Renaming TraceOptions to TraceFlags, which is the term used to describe the flags associated with the trace in the OpenTelemetry specification. Closes open-telemetry#434 api: Implement "named" meters + Remove "Batcher" from Meter constructor (open-telemetry#431) Implements open-telemetry#221. Also fixes open-telemetry#394. Stateful.py and stateless.py in metrics example folder are not changed to use the new loader in anticipation of open-telemetry#422 being merged first and removing them. Lastly, moves InstrumentationInfo from trace.py in the sdk to utils. Prepare to host on readthedocs.org (open-telemetry#452) sdk: Implement observer instrument (open-telemetry#425) Observer instruments are used to capture a current set of values at a point in time [1]. This commit extends the Meter interface to allow to register an observer instrument by pasing a callback that will be executed at collection time. The logic inside collection is updated to consider these instruments and a new ObserverAggregator is implemented. [1] https://github.com/open-telemetry/opentelemetry-specification/blob/master/specification/api-metrics.md#observer-instruments sdk: fix ConsoleSpanExporter (open-telemetry#455) 19d573a ("Add io and formatter options to console exporter (open-telemetry#412)") changed the way spans are printed by using write() instead of print(). In Python 3.x sys.stdout is line-buffered, so the spans were not being printed to the console at the right timing. This commit fixes that by adding an explicit flush() call at the end of the export function , it also changes the default formatter to include a line break. To be precise, only one of the changes was needed to solve the problem, but as a matter of completness both are included, i.e, to handle the case where the formatter chosen by the user doesn't append a line break. jaeger: Usage README Update for opentelemetry-ext-jaeger (open-telemetry#459) Usage docs for opentelemetry-ext-jaeger need to be updated after the change to `TracerSource` with v0.4. Looks like it was partially updated already. Users following the usage docs will currently run into this error: `AttributeError: 'Tracer' object has no attribute 'add_span_processor'` api: Implementing Propagators API to use Context (open-telemetry#446) Implementing Propagators API to use Context. Moving tracecontexthttptextformat to trace/propagation, as TraceContext is specific to trace rather that broader context propagation. Using attach/detach for wsgi and flask extensions, enabling activation of the full context rather that activating of a sub component such as traces. Adding a composite propagator. Co-authored-by: Mauricio Vásquez <[email protected]>
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# Read the Docs configuration file | ||
# See https://docs.readthedocs.io/en/stable/config-file/v2.html for details | ||
version: 2 | ||
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sphinx: | ||
configuration: docs/conf.py | ||
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build: | ||
image: latest | ||
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python: | ||
version: 3.8 | ||
install: | ||
- requirements: docs-requirements.txt |
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sphinx~=2.4 | ||
sphinx-rtd-theme~=0.4 | ||
sphinx-autodoc-typehints~=1.10.2 | ||
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# Required by ext packages | ||
opentracing~=2.2.0 | ||
Deprecated>=1.2.6 | ||
thrift>=0.10.0 | ||
pymongo~=3.1 | ||
flask~=1.0 |
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opentelemetry.sdk.util.instrumentation | ||
========================================== | ||
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.. automodule:: opentelemetry.sdk.util.instrumentation |
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receivers: | ||
opencensus: | ||
endpoint: "0.0.0.0:55678" | ||
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exporters: | ||
jaeger_grpc: | ||
endpoint: jaeger-all-in-one:14250 | ||
logging: {} | ||
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processors: | ||
batch: | ||
queued_retry: | ||
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service: | ||
pipelines: | ||
traces: | ||
receivers: [opencensus] | ||
exporters: [jaeger_grpc, logging] | ||
processors: [batch, queued_retry] |
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version: "2" | ||
services: | ||
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# Collector | ||
collector: | ||
image: omnition/opentelemetry-collector-contrib:latest | ||
command: ["--config=/conf/collector-config.yaml", "--log-level=DEBUG"] | ||
volumes: | ||
- ./collector-config.yaml:/conf/collector-config.yaml | ||
ports: | ||
- "55678:55678" | ||
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jaeger-all-in-one: | ||
image: jaegertracing/all-in-one:latest | ||
ports: | ||
- "16686:16686" | ||
- "6831:6831/udp" | ||
- "6832:6832/udp" | ||
- "14268" | ||
- "14250" |
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# Copyright 2020, OpenTelemetry Authors | ||
# | ||
# 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. | ||
# | ||
""" | ||
This example shows how the Observer metric instrument can be used to capture | ||
asynchronous metrics data. | ||
""" | ||
import psutil | ||
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from opentelemetry import metrics | ||
from opentelemetry.sdk.metrics import LabelSet, MeterProvider | ||
from opentelemetry.sdk.metrics.export import ConsoleMetricsExporter | ||
from opentelemetry.sdk.metrics.export.batcher import UngroupedBatcher | ||
from opentelemetry.sdk.metrics.export.controller import PushController | ||
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# Configure a stateful batcher | ||
batcher = UngroupedBatcher(stateful=True) | ||
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metrics.set_preferred_meter_provider_implementation(lambda _: MeterProvider()) | ||
meter = metrics.get_meter(__name__) | ||
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# Exporter to export metrics to the console | ||
exporter = ConsoleMetricsExporter() | ||
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# Configure a push controller | ||
controller = PushController(meter=meter, exporter=exporter, interval=2) | ||
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# Callback to gather cpu usage | ||
def get_cpu_usage_callback(observer): | ||
for (number, percent) in enumerate(psutil.cpu_percent(percpu=True)): | ||
label_set = meter.get_label_set({"cpu_number": str(number)}) | ||
observer.observe(percent, label_set) | ||
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meter.register_observer( | ||
callback=get_cpu_usage_callback, | ||
name="cpu_percent", | ||
description="per-cpu usage", | ||
unit="1", | ||
value_type=float, | ||
label_keys=("cpu_number",), | ||
) | ||
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# Callback to gather RAM memory usage | ||
def get_ram_usage_callback(observer): | ||
ram_percent = psutil.virtual_memory().percent | ||
observer.observe(ram_percent, LabelSet()) | ||
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meter.register_observer( | ||
callback=get_ram_usage_callback, | ||
name="ram_percent", | ||
description="RAM memory usage", | ||
unit="1", | ||
value_type=float, | ||
label_keys=(), | ||
) | ||
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input("Press a key to finish...\n") |
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