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.gitignore

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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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cover/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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.pybuilder/
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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# For a library or package, you might want to ignore these files since the code is
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# intended to run in multiple environments; otherwise, check them in:
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# .python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# poetry
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# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
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# This is especially recommended for binary packages to ensure reproducibility, and is more
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# commonly ignored for libraries.
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# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
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#poetry.lock
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# pdm
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# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
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#pdm.lock
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# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
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# in version control.
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# https://pdm.fming.dev/#use-with-ide
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.pdm.toml
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# pytype static type analyzer
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.pytype/
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# Cython debug symbols
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cython_debug/
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# PyCharm
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# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
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# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
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# and can be added to the global gitignore or merged into this file. For a more nuclear
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# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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#.idea/

LICENSE

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MIT License
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Copyright (c) 2024 Wyatt Walter
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.

README.md

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# opentelemetry-instrumentation-arangodb
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Auto instrumentation for python-arango

example/application.py

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from arango import ArangoClient
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from opentelemetry import trace
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from opentelemetry.sdk.trace import TracerProvider
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from opentelemetry.sdk.trace.export import (
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BatchSpanProcessor,
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ConsoleSpanExporter,
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)
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provider = TracerProvider()
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processor = BatchSpanProcessor(ConsoleSpanExporter())
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provider.add_span_processor(processor)
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# Sets the global default tracer provider
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trace.set_tracer_provider(provider)
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tracer = trace.get_tracer("example")
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client = ArangoClient()
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db = client.db("test", username="root", password="password")
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# Manually create a root span
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with tracer.start_as_current_span("root-span") as root_span:
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ret = db.aql.execute("FOR doc IN test FILTER doc.test == true RETURN doc")

example/docker-compose.yaml

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version: '3'
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services:
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arangodb:
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image: arangodb
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environment:
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- ARANGO_ROOT_PASSWORD=password
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ports:
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- 8529:8529
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volumes:
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- arangodb_data:/var/lib/arangodb3
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volumes:
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arangodb_data:

opentelemetry_instrumentation_arangodb/__init__.py

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import logging
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import functools
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from opentelemetry import trace
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from opentelemetry.instrumentation.instrumentor import BaseInstrumentor
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from opentelemetry.instrumentation.utils import unwrap
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from opentelemetry.trace import SpanKind
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from arango.aql import AQL
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logging.basicConfig(level=logging.DEBUG)
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logger = logging.getLogger(__name__)
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class ArangoDBInstrumentor(BaseInstrumentor):
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def instrumentation_dependencies(self):
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return []
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def _instrument(self, **kwargs):
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tracer_provider = kwargs.get("tracer_provider", trace.get_tracer_provider())
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self._tracer = trace.get_tracer(__name__, tracer_provider=tracer_provider)
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if hasattr(AQL, "execute"):
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logger.debug("Instrumenting AQL.execute")
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self._original_method = getattr(AQL, "execute")
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setattr(AQL, "execute", self._get_instrumented_execute())
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def _uninstrument(self, **kwargs):
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if hasattr(AQL, "execute"):
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logger.debug("Uninstrumenting AQL.execute")
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unwrap(AQL, "execute")
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def _get_instrumented_execute(self):
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tracer = self._tracer
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@functools.wraps(self._original_method)
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def instrumented_execute(*args, **kwargs):
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query = args[1] if len(args) > 1 else kwargs.get('query', 'Unknown query')
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with tracer.start_as_current_span("ArangoDB Execute", kind=SpanKind.CLIENT) as span:
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span.set_attribute("db.system", "arangodb")
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span.set_attribute("db.query", query)
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if kwargs.get('bind_vars'):
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span.set_attribute("db.bind_vars", kwargs.get('bind_vars'))
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result = self._original_method(*args, **kwargs)
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span.set_attribute("db.cached", result.cached())
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if result.count() is not None:
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span.set_attribute("db.count", result.count())
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if result.statistics() is not None:
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for key, value in result.statistics().items():
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span.set_attribute("db." + key, value)
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if result.warnings():
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span.set_attribute("db.warnings", result.warnings())
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return result
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return instrumented_execute
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arangodb_instrumentor = ArangoDBInstrumentor()

setup.py

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from setuptools import setup, find_packages
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setup(
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name="opentelemetry-instrumentation-arangodb",
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version="0.1.0",
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description="OpenTelemetry instrumentation for python-arango",
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author="Wyatt Walter",
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packages=find_packages(),
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install_requires=[
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"opentelemetry-api",
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"opentelemetry-sdk",
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"opentelemetry-instrumentation",
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"python-arango"
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],
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extras_require={
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"instruments": []
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},
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entry_points={
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"opentelemetry_instrumentor": [
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"arangodb = opentelemetry_instrumentation_arangodb.arangodb_instrumentor:ArangoDBInstrumentor"
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]
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},
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)

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