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Add true auto-instrumentation support to opentelemetry-instrument
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This commit extends the instrument command so it automatically
configures tracing with a provider, span processor and exporter. Most of
the component used can be customized with env vars or CLI arguments.

Details can be found on opentelemetry-instrumentation's README package.

Fixes #663
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owais committed Nov 10, 2020
1 parent 2701445 commit 762fa1b
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Showing 12 changed files with 437 additions and 28 deletions.
4 changes: 4 additions & 0 deletions exporter/opentelemetry-exporter-jaeger/setup.cfg
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Expand Up @@ -48,3 +48,7 @@ where = src

[options.extras_require]
test =

[options.entry_points]
opentelemetry_exporter =
jaeger = opentelemetry.exporter.jaeger:JaegerSpanExporter
4 changes: 4 additions & 0 deletions exporter/opentelemetry-exporter-opencensus/setup.cfg
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Expand Up @@ -50,3 +50,7 @@ where = src

[options.extras_require]
test =

[options.entry_points]
opentelemetry_exporter =
opencensus = opentelemetry.exporter.opencensus.trace_exporter:OpenCensusSpanExporter
5 changes: 5 additions & 0 deletions exporter/opentelemetry-exporter-otlp/setup.cfg
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Expand Up @@ -52,3 +52,8 @@ test =

[options.packages.find]
where = src

[options.entry_points]
opentelemetry_exporter =
otlp_span = opentelemetry.exporter.otlp.trace_exporter:OTLPSpanExporter
otlp_metric = opentelemetry.exporter.otlp.metrics_exporter:OTLPMetricsExporter
4 changes: 4 additions & 0 deletions exporter/opentelemetry-exporter-prometheus/setup.cfg
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Expand Up @@ -48,3 +48,7 @@ where = src

[options.extras_require]
test =

[options.entry_points]
opentelemetry_exporter =
prometheus = opentelemetry.exporter.prometheus:PrometheusMetricsExporter
4 changes: 4 additions & 0 deletions exporter/opentelemetry-exporter-zipkin/setup.cfg
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Expand Up @@ -48,3 +48,7 @@ where = src

[options.extras_require]
test =

[options.entry_points]
opentelemetry_exporter =
zipkin = opentelemetry.exporter.zipkin:ZipkinSpanExporter
3 changes: 2 additions & 1 deletion opentelemetry-instrumentation/CHANGELOG.md
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Expand Up @@ -6,7 +6,8 @@

Released 2020-10-13

- Fixed boostrap command to correctly install opentelemetry-instrumentation-falcon instead of opentelemetry-instrumentation-flask
- Fixed boostrap command to correctly install opentelemetry-instrumentation-falcon instead of opentelemetry-instrumentation-flask. ([#1138](https://github.com/open-telemetry/opentelemetry-python/pull/1138))
- Added support for `OTEL_EXPORTER` to the `opentelemetry-instrument` command ([#1036](https://github.com/open-telemetry/opentelemetry-python/pull/1036))

## Version 0.13b0

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55 changes: 47 additions & 8 deletions opentelemetry-instrumentation/README.rst
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Expand Up @@ -16,30 +16,69 @@ Installation

This package provides a couple of commands that help automatically instruments a program:


opentelemetry-instrument
------------------------

::

opentelemetry-instrument python program.py

The instrument command will try to automatically detect packages used by your python program
and when possible, apply automatic tracing instrumentation on them. This means your program
will get automatic distributed tracing for free without having to make any code changes
at all. This will also configure a global tracer and tracing exporter without you having to
make any code changes. By default, the instrument command will use the OTLP exporter but
this can be overriden when needed.

The command supports the following configuration options as CLI arguments and environment vars:


* ``--exporter`` or ``OTEL_EXPORTER``

Used to specify which trace exporter to use. Can be set to one or more
of the well-known exporter names (see below) or a fully
qualified Python import path to a span exporter implementation.

- Defaults to `otlp`.
- Can be set to `none` to disbale automatic tracer initialization.

You can pass multiple values to configure multiple exporters e.g, ``zipkin,prometheus``

Well known trace exporter names:

- jaeger
- opencensus
- otlp
- otlp_span
- otlp_metric
- zipkin

``otlp`` is an alias for ``otlp_span,otlp_metric``.

* ``--service-name`` or ``OTEL_SERVICE_NAME``

When present the value is passed on to the relevant exporter initializer as ``service_name`` argument.

The code in ``program.py`` needs to use one of the packages for which there is
an OpenTelemetry integration. For a list of the available integrations please
check `here <https://opentelemetry-python.readthedocs.io/en/stable/index.html#integrations>`_

Examples
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

::

opentelemetry-instrument -e otlp flask run --port=3000

opentelemetry-bootstrap
-----------------------
The above command will pass ``-e otlp`` to the instrument command and ``--port=3000`` to ``flask run``.

::

opentelemetry-bootstrap --action=install|requirements
opentelemetry-instrument -e zipkin,otlp celery -A tasks worker --loglevel=info

This commands inspects the active Python site-packages and figures out which
instrumentation packages the user might want to install. By default it prints out
a list of the suggested instrumentation packages which can be added to a requirements.txt
file. It also supports installing the suggested packages when run with :code:`--action=install`
flag.
The above command will configure global trace provider, attach zipkin and otlp exporters to it and then
start celery with the rest of the arguments.

References
----------
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Expand Up @@ -14,16 +14,67 @@
# See the License for the specific language governing permissions and
# limitations under the License.

import argparse
from logging import getLogger
from os import environ, execl, getcwd
from os.path import abspath, dirname, pathsep
from shutil import which
from sys import argv

logger = getLogger(__file__)


def parse_args():
parser = argparse.ArgumentParser(
description="""
opentelemetry-instrument automatically instruments a Python
program and it's dependencies and then runs the program.
"""
)

parser.add_argument(
"-e",
"--exporter",
required=False,
help="""
Uses the specified exporter to export spans or metrics.
Accepts multiple exporters as comma separated values.
Examples:
-e=otlp
-e=otlp_span,prometheus
-e=jaeger,otlp_metric
""",
)

parser.add_argument(
"-s",
"--service-name",
required=False,
help="""
The service name that should be passed to a trace exporter.
""",
)

parser.add_argument("command", help="Your Python application.")
parser.add_argument(
"command_args",
help="Arguments for your application.",
nargs=argparse.REMAINDER,
)
return parser.parse_args()


def load_config_from_cli_args(args):
if args.exporter:
environ["OTEL_EXPORTER"] = args.exporter
if args.service_name:
environ["OTEL_SERVICE_NAME"] = args.service_name


def run() -> None:
args = parse_args()
load_config_from_cli_args(args)

python_path = environ.get("PYTHONPATH")

Expand All @@ -49,6 +100,5 @@ def run() -> None:

environ["PYTHONPATH"] = pathsep.join(python_path)

executable = which(argv[1])

execl(executable, executable, *argv[2:])
executable = which(args.command)
execl(executable, executable, *args.command_args)
Original file line number Diff line number Diff line change
@@ -0,0 +1,121 @@
# Copyright The 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.

from logging import getLogger
from typing import Sequence, Tuple

from pkg_resources import iter_entry_points

from opentelemetry import trace
from opentelemetry.configuration import Configuration
from opentelemetry.sdk.metrics.export import MetricsExporter
from opentelemetry.sdk.resources import Resource
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import (
BatchExportSpanProcessor,
SpanExporter,
)

logger = getLogger(__file__)

EXPORTER_OTLP = "otlp"
EXPORTER_OTLP_SPAN = "otlp_span"
EXPORTER_OTLP_METRIC = "otlp_metric"
_DEFAULT_EXPORTER = EXPORTER_OTLP


def get_service_name() -> str:
return Configuration().SERVICE_NAME or ""


def get_exporter_names() -> Sequence[str]:
exporter = Configuration().EXPORTER or _DEFAULT_EXPORTER
if exporter.lower().strip() == "none":
return []

names = []
for exp in exporter.split(","):
name = exp.strip()
if name == EXPORTER_OTLP:
names.append(EXPORTER_OTLP_SPAN)
names.append(EXPORTER_OTLP_METRIC)
else:
names.append(name)
return names


def init_tracing(exporters: Sequence[SpanExporter]):
service_name = get_service_name()
provider = TracerProvider(
resource=Resource.create({"service.name": service_name}),
)
trace.set_tracer_provider(provider)

for exporter_name, exporter_class in exporters.items():
exporter_args = {}
if exporter_name not in [
EXPORTER_OTLP,
EXPORTER_OTLP_SPAN,
]:
exporter_args["service_name"] = service_name

provider.add_span_processor(
BatchExportSpanProcessor(exporter_class(**exporter_args))
)


def init_metrics(exporters: Sequence[MetricsExporter]):
if exporters:
logger.warning("automatic metric initialization is not supported yet.")


def import_exporters(
exporter_names: Sequence[str],
) -> Tuple[Sequence[SpanExporter], Sequence[MetricsExporter]]:
trace_exporters, metric_exporters = {}, {}

exporters = {
ep.name: ep for ep in iter_entry_points("opentelemetry_exporter")
}

for exporter_name in exporter_names:
entry_point = exporters.get(exporter_name, None)
if not entry_point:
raise RuntimeError(
"Requested exporter not found: {0}".format(exporter_name)
)

exporter_impl = entry_point.load()
if issubclass(exporter_impl, SpanExporter):
trace_exporters[exporter_name] = exporter_impl
elif issubclass(exporter_impl, MetricsExporter):
metric_exporters[exporter_name] = exporter_impl
else:
raise RuntimeError(
"{0} is neither a trace exporter nor a metric exporter".format(
exporter_name
)
)
return trace_exporters, metric_exporters


def initialize_components():
exporter_names = get_exporter_names()
trace_exporters, metric_exporters = import_exporters(exporter_names)
init_tracing(trace_exporters)

# We don't support automatic initialization for metric yet but have added
# some boilerplate in order to make sure current implementation does not
# lock us out of supporting metrics later without major surgery.
init_metrics(metric_exporters)
Original file line number Diff line number Diff line change
Expand Up @@ -12,17 +12,48 @@
# See the License for the specific language governing permissions and
# limitations under the License.

import os
import sys
from logging import getLogger

from pkg_resources import iter_entry_points

from opentelemetry.instrumentation.auto_instrumentation.components import (
initialize_components,
)

logger = getLogger(__file__)


for entry_point in iter_entry_points("opentelemetry_instrumentor"):
try:
entry_point.load()().instrument() # type: ignore
logger.debug("Instrumented %s", entry_point.name)
def auto_instrument():
for entry_point in iter_entry_points("opentelemetry_instrumentor"):
try:
entry_point.load()().instrument() # type: ignore
logger.debug("Instrumented %s", entry_point.name)

except Exception: # pylint: disable=broad-except
logger.exception("Instrumenting of %s failed", entry_point.name)


def initialize():
try:
initialize_components()
auto_instrument()
except Exception: # pylint: disable=broad-except
logger.exception("Instrumenting of %s failed", entry_point.name)
logger.exception("Failed to auto initialize opentelemetry")


if (
hasattr(sys, "argv")
and sys.argv[0].split(os.path.sep)[-1] == "celery"
and "worker" in sys.argv
):
from celery.signals import worker_process_init # pylint:disable=E0401

@worker_process_init.connect(weak=False)
def init_celery(*args, **kwargs):
initialize()


else:
initialize()
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