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https://github.com/open-telemetry/opentelemetry-python-contrib.git
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Add confluent kafka docs (#1668)
* add elasticsearch to docs * add confluent kafka to docs * tox generate fix * tox docs fix --------- Co-authored-by: Srikanth Chekuri <srikanth.chekuri92@gmail.com>
This commit is contained in:
@ -25,6 +25,7 @@ asyncpg>=0.12.0
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boto~=2.0
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botocore~=1.0
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celery>=4.0
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confluent-kafka>= 1.8.2,< 2.0.0
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elasticsearch>=2.0,<9.0
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flask~=2.0
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falcon~=2.0
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25
docs/conf.py
25
docs/conf.py
@ -126,25 +126,14 @@ def getlistcfg(strval):
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]
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if "class_references" in mcfg:
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class_references = getlistcfg(mcfg["class_references"])
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for class_reference in class_references:
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nitpick_ignore.append(
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(
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"py:class",
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class_reference,
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)
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)
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ignore_categories = ["py-class", "py-func", "py-exc", "any"]
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for category in ignore_categories:
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if category in mcfg:
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items = getlistcfg(mcfg[category])
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for item in items:
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nitpick_ignore.append((category.replace("-", ":"), item))
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if "anys" in mcfg:
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anys = getlistcfg(mcfg["anys"])
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for _any in anys:
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nitpick_ignore.append(
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(
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"any",
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_any,
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)
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)
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# Add any paths that contain templates here, relative to this directory.
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templates_path = ["_templates"]
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7
docs/instrumentation/confluent_kafka/confluent_kafka.rst
Normal file
7
docs/instrumentation/confluent_kafka/confluent_kafka.rst
Normal file
@ -0,0 +1,7 @@
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.. include:: ../../../instrumentation/opentelemetry-instrumentation-confluent-kafka/README.rst
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.. automodule:: opentelemetry.instrumentation.confluent_kafka
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:members:
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:undoc-members:
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:show-inheritance:
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:noindex:
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@ -1,5 +1,5 @@
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[default]
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class_references=
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py-class=
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; TODO: Understand why sphinx is not able to find this local class
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opentelemetry.propagators.textmap.CarrierT
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opentelemetry.propagators.textmap.Setter
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@ -11,6 +11,8 @@ class_references=
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opentelemetry.propagators.textmap.Getter
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; - AWSXRayPropagator
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opentelemetry.sdk.trace.id_generator.IdGenerator
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opentelemetry.instrumentation.confluent_kafka.ProxiedProducer
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opentelemetry.instrumentation.confluent_kafka.ProxiedConsumer
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; - AwsXRayIdGenerator
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TextMapPropagator
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CarrierT
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@ -26,8 +28,16 @@ class_references=
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httpx.AsyncByteStream
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httpx.Response
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yarl.URL
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cimpl.Producer
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cimpl.Consumer
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func
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Message
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TopicPartition
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callable
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Consumer
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confluent_kafka.Message
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anys=
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any=
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; API
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opentelemetry.propagators.textmap.TextMapPropagator.fields
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; - AWSXRayPropagator
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@ -44,3 +54,12 @@ anys=
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; - instrumentation.*
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Setter
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httpx
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;
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py-func=
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poll
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flush
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Message.error
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py-exc=
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KafkaException
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KafkaError
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@ -13,12 +13,12 @@
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# limitations under the License.
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"""
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Instrument `confluent-kafka-python` to report instrumentation-confluent-kafka produced and consumed messages
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Instrument confluent-kafka-python to report instrumentation-confluent-kafka produced and consumed messages
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Usage
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-----
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..code:: python
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.. code-block:: python
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from opentelemetry.instrumentation.confluent_kafka import ConfluentKafkaInstrumentor
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from confluent_kafka import Producer, Consumer
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@ -30,12 +30,10 @@ Usage
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conf1 = {'bootstrap.servers': "localhost:9092"}
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producer = Producer(conf1)
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producer.produce('my-topic',b'raw_bytes')
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conf2 = {'bootstrap.servers': "localhost:9092",
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'group.id': "foo",
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'auto.offset.reset': 'smallest'}
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conf2 = {'bootstrap.servers': "localhost:9092", 'group.id': "foo", 'auto.offset.reset': 'smallest'}
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# report a span of type consumer with the default settings
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consumer = Consumer(conf2)
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def basic_consume_loop(consumer, topics):
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try:
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consumer.subscribe(topics)
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@ -43,11 +41,10 @@ Usage
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while running:
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msg = consumer.poll(timeout=1.0)
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if msg is None: continue
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if msg.error():
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if msg.error().code() == KafkaError._PARTITION_EOF:
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# End of partition event
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sys.stderr.write(f"{msg.topic()} [{msg.partition()}] reached end at offset {msg.offset()}}\n")
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sys.stderr.write(f"{msg.topic() [{msg.partition()}] reached end at offset {msg.offset()}}")
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elif msg.error():
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raise KafkaException(msg.error())
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else:
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@ -57,19 +54,26 @@ Usage
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consumer.close()
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basic_consume_loop(consumer, "my-topic")
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---
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The `_instrument` method accepts the following keyword args:
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The _instrument method accepts the following keyword args:
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tracer_provider (TracerProvider) - an optional tracer provider
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instrument_producer (Callable) - a function with extra user-defined logic to be performed before sending the message
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this function signature is:
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def instrument_producer(producer: Producer, tracer_provider=None)
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instrument_consumer (Callable) - a function with extra user-defined logic to be performed after consuming a message
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this function signature is:
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def instrument_consumer(consumer: Consumer, tracer_provider=None)
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for example:
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.. code: python
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.. code:: python
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from opentelemetry.instrumentation.confluent_kafka import ConfluentKafkaInstrumentor
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from confluent_kafka import Producer, Consumer
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inst = ConfluentKafkaInstrumentor()
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@ -85,15 +89,12 @@ for example:
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p = inst.instrument_producer(p, tracer_provider)
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c = inst.instrument_consumer(c, tracer_provider=tracer_provider)
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# Using kafka as normal now will automatically generate spans,
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# including user custom attributes added from the hooks
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conf = {'bootstrap.servers': "localhost:9092"}
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p.produce('my-topic',b'raw_bytes')
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msg = c.poll()
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API
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___
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"""
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from typing import Collection
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