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main ... stable

Author SHA1 Message Date
OpenTelemetry Bot 54e684aa69
[release/v1.28.x-0.49bx] Prepare release 1.28.2/0.49b2 (#3017)
* Prepare release 1.28.2/0.49b2

* Update CORE_REPO_SHA to point to core release branch

---------

Co-authored-by: Aaron Abbott <aaronabbott@google.com>
2024-11-18 13:25:25 -05:00
Aaron Abbott 13f57585b1
Fix eachdist.py patch release to respect "all" and "excluded" (#3016) 2024-11-18 12:03:53 -05:00
Aaron Abbott 29d61aa19a
Fix prepare patch release workflow (#3013) 2024-11-15 16:03:44 -05:00
Aaron Abbott d2e860c56c
[release/v1.28.x-0.49bx] Add openai instrumentation to opentelemetry-bootstrap (#2996) (#3010)
* Add openai instrumentation to opentelemetry-bootstrap (#2996)

* Move changelog entry to Unreleased section

* Run `tox -e generate` to fix bootstrap_gen.py

---------

Co-authored-by: Leighton Chen <lechen@microsoft.com>
2024-11-15 12:10:02 -05:00
Aaron Abbott 934ede51e0
Remove updating CHANGELOG step in release workflow (#3000) (#3009)
Co-authored-by: Leighton Chen <lechen@microsoft.com>
2024-11-15 12:02:43 -05:00
Aaron Abbott 10b23cd9b4
[release/v1.28.x-0.49bx] opentelemetry-instrumentation-httpx: make instrument_client a staticmethod again (#3003) (#3008)
* opentelemetry-instrumentation-httpx: make instrument_client a staticmethod again (#3003)

* opentelemetry-instrumentation-httpx: make instrument_client a staticmethod again

* ADd changelog

* Can be a classmethod

---------

Co-authored-by: Leighton Chen <lechen@microsoft.com>

* Move changelog entry to Unreleased section

---------

Co-authored-by: Riccardo Magliocchetti <riccardo.magliocchetti@gmail.com>
Co-authored-by: Leighton Chen <lechen@microsoft.com>
2024-11-15 11:08:57 -05:00
OpenTelemetry Bot ec1c9ea8a8
[release/v1.28.x-0.49bx] Prepare release 1.28.1/0.49b1 (#2985) 2024-11-08 11:23:16 -08:00
Riccardo Magliocchetti e4ab0d88d0 Drop selective enabled for windows and regenerate workflows (#2964) 2024-11-07 16:53:45 -08:00
Emídio Neto 0855740d8f fix: teach instrument version constraint for sqlalchemy (#2971) 2024-11-07 15:41:02 -08:00
Tammy Baylis 402155e279 Update tests to work with SQLAlchemy 2 (#2976) 2024-11-07 15:28:53 -08:00
Emídio Neto d4c390015d fix: remove opentelemetry-instrumentation-test package from bootstrap_gen (#2969) 2024-11-07 11:41:11 -08:00
OpenTelemetry Bot a4dfeacf76
[release/v1.28.x-0.49bx] Prepare release 1.28.0/0.49b0 (#2955) 2024-11-05 10:59:23 -08:00
666 changed files with 9119 additions and 61108 deletions

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@ -18,7 +18,7 @@ body:
Please describe any aspect of your environment relevant to the problem, including your Python version, [platform](https://docs.python.org/3/library/platform.html), version numbers of installed dependencies, information about your cloud hosting provider, etc. If you're reporting a problem with a specific version of a library in this repo, please check whether the problem has been fixed on main.
value: |
OS: (e.g, Ubuntu)
Python version: (e.g., Python 3.9.10)
Python version: (e.g., Python 3.8.10)
Package version: (e.g., 0.46.0)
- type: textarea

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@ -11,9 +11,6 @@ components:
- oxeye-nikolay
- nikosokolik
instrumentation/opentelemetry-instrumentation-asyncclick:
- jomcgi
instrumentation/opentelemetry-instrumentation-kafka-python:
- nozik
@ -64,9 +61,6 @@ components:
instrumentation/opentelemetry-instrumentation-psycopg:
- federicobond
instrumentation/opentelemetry-instrumentation-pymssql:
- guillaumep
instrumentation/opentelemetry-instrumentation-aiokafka:
- dimastbk
@ -77,7 +71,3 @@ components:
- karthikscale3
- lmolkova
- lzchen
- gyliu513
- nirga
- alizenhom
- codefromthecrypt

View File

@ -10,10 +10,6 @@ jobs:
run_self:
runs-on: ubuntu-latest
name: Auto Assign Owners
permissions:
contents: read # to read changed files
issues: write # to read/write issue assignees
pull-requests: write # to read/write PR reviewers
# Don't fail tests if this workflow fails. Some pending issues:
# - https://github.com/dyladan/component-owners/issues/8
continue-on-error: true

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@ -1,20 +0,0 @@
name: FOSSA scanning
on:
push:
branches:
- main
permissions:
contents: read
jobs:
fossa:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
- uses: fossas/fossa-action@93a52ecf7c3ac7eb40f5de77fd69b1a19524de94 # v1.5.0
with:
api-key: ${{secrets.FOSSA_API_KEY}}
team: OpenTelemetry

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@ -1,7 +1,6 @@
from pathlib import Path
from generate_workflows_lib import (
generate_contrib_workflow,
generate_lint_workflow,
generate_misc_workflow,
generate_test_workflow,
@ -13,4 +12,3 @@ workflows_directory_path = Path(__file__).parent
generate_test_workflow(tox_ini_path, workflows_directory_path, "ubuntu-latest")
generate_lint_workflow(tox_ini_path, workflows_directory_path)
generate_misc_workflow(tox_ini_path, workflows_directory_path)
generate_contrib_workflow(workflows_directory_path)

View File

@ -7,7 +7,7 @@ name = "generate-workflows-lib"
dynamic = ["version"]
description = "A library to generate workflows"
license = "Apache-2.0"
requires-python = ">=3.9"
requires-python = ">=3.8"
authors = [
{ name = "OpenTelemetry Authors", email = "cncf-opentelemetry-contributors@lists.cncf.io" },
]
@ -17,11 +17,11 @@ classifiers = [
"License :: OSI Approved :: Apache Software License",
"Programming Language :: Python",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"Typing :: Typed",
]
dependencies = ["Jinja2", "tox"]

View File

@ -14,7 +14,7 @@ _tox_test_env_regex = re_compile(
)
_tox_lint_env_regex = re_compile(r"lint-(?P<name>[-\w]+)")
_tox_contrib_env_regex = re_compile(
r"py39-test-(?P<name>[-\w]+\w)-?(?P<contrib_requirements>\d+)?"
r"py38-test-(?P<name>[-\w]+\w)-?(?P<contrib_requirements>\d+)?"
)
@ -47,13 +47,12 @@ def get_test_job_datas(tox_envs: list, operating_systems: list) -> list:
os_alias = {"ubuntu-latest": "Ubuntu", "windows-latest": "Windows"}
python_version_alias = {
"pypy3": "pypy-3.9",
"pypy310": "pypy-3.10",
"pypy3": "pypy-3.8",
"py38": "3.8",
"py39": "3.9",
"py310": "3.10",
"py311": "3.11",
"py312": "3.12",
"py313": "3.13",
}
test_job_datas = []
@ -171,14 +170,14 @@ def get_misc_job_datas(tox_envs: list) -> list:
def _generate_workflow(
job_datas: list, name: str, workflow_directory_path: Path, max_jobs=250
job_datas: list, name: str, workflow_directory_path: Path
):
# Github seems to limit the amount of jobs in a workflow file, that is why
# they are split in groups of 250 per workflow file.
for file_number, job_datas in enumerate(
[
job_datas[index : index + max_jobs]
for index in range(0, len(job_datas), max_jobs)
job_datas[index : index + 250]
for index in range(0, len(job_datas), 250)
]
):
with open(
@ -220,7 +219,7 @@ def generate_contrib_workflow(
get_contrib_job_datas(
get_tox_envs(Path(__file__).parent.joinpath("tox.ini"))
),
"core_contrib_test",
"contrib",
workflow_directory_path,
)

View File

@ -1,21 +1,17 @@
# Do not edit this file.
# This file is generated automatically by executing tox -e generate-workflows
name: Core Contrib Test {{ file_number }}
name: Contrib {{ file_number }}
on:
workflow_call:
inputs:
CORE_REPO_SHA:
required: true
type: string
CONTRIB_REPO_SHA:
required: true
type: string
push:
branches-ignore:
- 'release/*'
pull_request:
env:
CORE_REPO_SHA: ${% raw %}{{ inputs.CORE_REPO_SHA }}{% endraw %}
CONTRIB_REPO_SHA: ${% raw %}{{ inputs.CONTRIB_REPO_SHA }}{% endraw %}
CORE_REPO_SHA: ${% raw %}{{ github.sha }}{% endraw %}
CONTRIB_REPO_SHA: main
PIP_EXISTS_ACTION: w
jobs:
@ -24,7 +20,6 @@ jobs:
{{ job_data.tox_env }}:
name: {{ job_data.ui_name }}
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout contrib repo @ SHA - ${% raw %}{{ env.CONTRIB_REPO_SHA }}{% endraw %}
uses: actions/checkout@v4
@ -32,14 +27,20 @@ jobs:
repository: open-telemetry/opentelemetry-python-contrib
ref: ${% raw %}{{ env.CONTRIB_REPO_SHA }}{% endraw %}
- name: Set up Python 3.9
- name: Checkout core repo @ SHA - ${% raw %}{{ github.sha }}{% endraw %}
uses: actions/checkout@v4
with:
repository: open-telemetry/opentelemetry-python
path: opentelemetry-python-core
- name: Set up Python 3.8
uses: actions/setup-python@v5
with:
python-version: "3.9"
python-version: "3.8"
architecture: "x64"
- name: Install tox
run: pip install tox-uv
run: pip install tox
- name: Run tests
run: tox -e {{ job_data.tox_env }} -- -ra

View File

@ -9,20 +9,8 @@ on:
- 'release/*'
pull_request:
concurrency:
group: ${% raw %}{{ github.workflow }}-${{ github.head_ref || github.run_id }}{% endraw %}
cancel-in-progress: true
env:
# Set the SHA to the branch name if the PR has a label 'prepare-release' or 'backport' otherwise, set it to 'main'
# For PRs you can change the inner fallback ('main')
# For pushes you change the outer fallback ('main')
# The logic below is used during releases and depends on having an equivalent branch name in the core repo.
CORE_REPO_SHA: {% raw %}${{ github.event_name == 'pull_request' && (
contains(github.event.pull_request.labels.*.name, 'prepare-release') && github.event.pull_request.head.ref ||
contains(github.event.pull_request.labels.*.name, 'backport') && github.event.pull_request.base.ref ||
'main'
) || 'main' }}{% endraw %}
CORE_REPO_SHA: b9240e73fb4a5c493a753cc9baa865e2d9a817a3
CONTRIB_REPO_SHA: main
PIP_EXISTS_ACTION: w
@ -32,18 +20,17 @@ jobs:
{{ job_data.name }}:
name: {{ job_data.ui_name }}
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${% raw %}{{ github.sha }}{% endraw %}
uses: actions/checkout@v4
- name: Set up Python 3.13
- name: Set up Python 3.12
uses: actions/setup-python@v5
with:
python-version: "3.13"
python-version: "3.12"
- name: Install tox
run: pip install tox-uv
run: pip install tox
- name: Run tests
run: tox -e {{ job_data.tox_env }}

View File

@ -9,20 +9,8 @@ on:
- 'release/*'
pull_request:
concurrency:
group: ${% raw %}{{ github.workflow }}-${{ github.head_ref || github.run_id }}{% endraw %}
cancel-in-progress: true
env:
# Set the SHA to the branch name if the PR has a label 'prepare-release' or 'backport' otherwise, set it to 'main'
# For PRs you can change the inner fallback ('main')
# For pushes you change the outer fallback ('main')
# The logic below is used during releases and depends on having an equivalent branch name in the core repo.
CORE_REPO_SHA: {% raw %}${{ github.event_name == 'pull_request' && (
contains(github.event.pull_request.labels.*.name, 'prepare-release') && github.event.pull_request.head.ref ||
contains(github.event.pull_request.labels.*.name, 'backport') && github.event.pull_request.base.ref ||
'main'
) || 'main' }}{% endraw %}
CORE_REPO_SHA: main
CONTRIB_REPO_SHA: main
PIP_EXISTS_ACTION: w
@ -32,7 +20,6 @@ jobs:
{{ job_data }}:
name: {{ job_data }}
runs-on: ubuntu-latest
timeout-minutes: 30
{%- if job_data == "generate-workflows" %}
if: |
!contains(github.event.pull_request.labels.*.name, 'Skip generate-workflows')
@ -64,13 +51,13 @@ jobs:
run: git checkout ${% raw %}{{ github.event.pull_request.head.sha }}{% endraw %}
{%- endif %}
- name: Set up Python 3.11
- name: Set up Python 3.10
uses: actions/setup-python@v5
with:
python-version: "3.11"
python-version: "3.10"
- name: Install tox
run: pip install tox-uv
run: pip install tox
- name: Run tests
run: tox -e {{ job_data }}

View File

@ -9,20 +9,8 @@ on:
- 'release/*'
pull_request:
concurrency:
group: ${% raw %}{{ github.workflow }}-${{ github.head_ref || github.run_id }}{% endraw %}
cancel-in-progress: true
env:
# Set the SHA to the branch name if the PR has a label 'prepare-release' or 'backport' otherwise, set it to 'main'
# For PRs you can change the inner fallback ('main')
# For pushes you change the outer fallback ('main')
# The logic below is used during releases and depends on having an equivalent branch name in the core repo.
CORE_REPO_SHA: {% raw %}${{ github.event_name == 'pull_request' && (
contains(github.event.pull_request.labels.*.name, 'prepare-release') && github.event.pull_request.head.ref ||
contains(github.event.pull_request.labels.*.name, 'backport') && github.event.pull_request.base.ref ||
'main'
) || 'main' }}{% endraw %}
CORE_REPO_SHA: b9240e73fb4a5c493a753cc9baa865e2d9a817a3
CONTRIB_REPO_SHA: main
PIP_EXISTS_ACTION: w
@ -32,7 +20,6 @@ jobs:
{{ job_data.name }}:
name: {{ job_data.ui_name }}
runs-on: {{ job_data.os }}
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${% raw %}{{ github.sha }}{% endraw %}
uses: actions/checkout@v4
@ -43,7 +30,7 @@ jobs:
python-version: "{{ job_data.python_version }}"
- name: Install tox
run: pip install tox-uv
run: pip install tox
{%- if job_data.os == "windows-latest" %}
- name: Configure git to support long filenames

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@ -9,20 +9,8 @@ on:
- 'release/*'
pull_request:
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }}
cancel-in-progress: true
env:
# Set the SHA to the branch name if the PR has a label 'prepare-release' or 'backport' otherwise, set it to 'main'
# For PRs you can change the inner fallback ('main')
# For pushes you change the outer fallback ('main')
# The logic below is used during releases and depends on having an equivalent branch name in the core repo.
CORE_REPO_SHA: ${{ github.event_name == 'pull_request' && (
contains(github.event.pull_request.labels.*.name, 'prepare-release') && github.event.pull_request.head.ref ||
contains(github.event.pull_request.labels.*.name, 'backport') && github.event.pull_request.base.ref ||
'main'
) || 'main' }}
CORE_REPO_SHA: opentelemetrybot/prepare-release-1.28.2-0.49b2
CONTRIB_REPO_SHA: main
PIP_EXISTS_ACTION: w
@ -31,18 +19,17 @@ jobs:
spellcheck:
name: spellcheck
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.11
- name: Set up Python 3.10
uses: actions/setup-python@v5
with:
python-version: "3.11"
python-version: "3.10"
- name: Install tox
run: pip install tox-uv
run: pip install tox
- name: Run tests
run: tox -e spellcheck
@ -50,18 +37,17 @@ jobs:
docker-tests:
name: docker-tests
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.11
- name: Set up Python 3.10
uses: actions/setup-python@v5
with:
python-version: "3.11"
python-version: "3.10"
- name: Install tox
run: pip install tox-uv
run: pip install tox
- name: Run tests
run: tox -e docker-tests
@ -69,20 +55,19 @@ jobs:
docs:
name: docs
runs-on: ubuntu-latest
timeout-minutes: 30
if: |
github.event.pull_request.user.login != 'opentelemetrybot' && github.event_name == 'pull_request'
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.11
- name: Set up Python 3.10
uses: actions/setup-python@v5
with:
python-version: "3.11"
python-version: "3.10"
- name: Install tox
run: pip install tox-uv
run: pip install tox
- name: Run tests
run: tox -e docs
@ -90,18 +75,17 @@ jobs:
generate:
name: generate
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.11
- name: Set up Python 3.10
uses: actions/setup-python@v5
with:
python-version: "3.11"
python-version: "3.10"
- name: Install tox
run: pip install tox-uv
run: pip install tox
- name: Run tests
run: tox -e generate
@ -112,7 +96,6 @@ jobs:
generate-workflows:
name: generate-workflows
runs-on: ubuntu-latest
timeout-minutes: 30
if: |
!contains(github.event.pull_request.labels.*.name, 'Skip generate-workflows')
&& github.event.pull_request.user.login != 'opentelemetrybot' && github.event_name == 'pull_request'
@ -120,13 +103,13 @@ jobs:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.11
- name: Set up Python 3.10
uses: actions/setup-python@v5
with:
python-version: "3.11"
python-version: "3.10"
- name: Install tox
run: pip install tox-uv
run: pip install tox
- name: Run tests
run: tox -e generate-workflows
@ -137,18 +120,17 @@ jobs:
shellcheck:
name: shellcheck
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.11
- name: Set up Python 3.10
uses: actions/setup-python@v5
with:
python-version: "3.11"
python-version: "3.10"
- name: Install tox
run: pip install tox-uv
run: pip install tox
- name: Run tests
run: tox -e shellcheck
@ -156,37 +138,17 @@ jobs:
ruff:
name: ruff
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.11
- name: Set up Python 3.10
uses: actions/setup-python@v5
with:
python-version: "3.11"
python-version: "3.10"
- name: Install tox
run: pip install tox-uv
run: pip install tox
- name: Run tests
run: tox -e ruff
typecheck:
name: typecheck
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.11
uses: actions/setup-python@v5
with:
python-version: "3.11"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e typecheck

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@ -1,47 +0,0 @@
name: OSSF Scorecard
on:
push:
branches:
- main
schedule:
- cron: "10 6 * * 1" # once a week
workflow_dispatch:
permissions: read-all
jobs:
analysis:
runs-on: ubuntu-latest
permissions:
# Needed for Code scanning upload
security-events: write
# Needed for GitHub OIDC token if publish_results is true
id-token: write
steps:
- uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
with:
persist-credentials: false
- uses: ossf/scorecard-action@f49aabe0b5af0936a0987cfb85d86b75731b0186 # v2.4.1
with:
results_file: results.sarif
results_format: sarif
publish_results: true
# Upload the results as artifacts (optional). Commenting out will disable
# uploads of run results in SARIF format to the repository Actions tab.
# https://docs.github.com/en/actions/advanced-guides/storing-workflow-data-as-artifacts
- name: "Upload artifact"
uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4.6.2
with:
name: SARIF file
path: results.sarif
retention-days: 5
# Upload the results to GitHub's code scanning dashboard (optional).
# Commenting out will disable upload of results to your repo's Code Scanning dashboard
- name: "Upload to code-scanning"
uses: github/codeql-action/upload-sarif@5f8171a638ada777af81d42b55959a643bb29017 # v3.28.12
with:
sarif_file: results.sarif

View File

@ -8,13 +8,8 @@ on:
- opentelemetry-propagator-aws-xray
- opentelemetry-resource-detector-azure
- opentelemetry-sdk-extension-aws
- opentelemetry-instrumentation-openai-v2
- opentelemetry-instrumentation-vertexai
- opentelemetry-instrumentation-google-genai
description: 'Package to be released'
required: true
run-name: "[Package][${{ inputs.package }}] Prepare patch release"
jobs:
prepare-patch-release:
runs-on: ubuntu-latest

View File

@ -8,13 +8,9 @@ on:
- opentelemetry-propagator-aws-xray
- opentelemetry-resource-detector-azure
- opentelemetry-sdk-extension-aws
- opentelemetry-instrumentation-openai-v2
- opentelemetry-instrumentation-vertexai
- opentelemetry-instrumentation-google-genai
description: 'Package to be released'
required: true
run-name: "[Package][${{ inputs.package }}] Prepare release"
jobs:
prereqs:
runs-on: ubuntu-latest

View File

@ -8,12 +8,8 @@ on:
- opentelemetry-propagator-aws-xray
- opentelemetry-resource-detector-azure
- opentelemetry-sdk-extension-aws
- opentelemetry-instrumentation-openai-v2
- opentelemetry-instrumentation-vertexai
- opentelemetry-instrumentation-google-genai
description: 'Package to be released'
required: true
run-name: "[Package][${{ inputs.package }}] Release"
jobs:
release:
runs-on: ubuntu-latest
@ -78,7 +74,7 @@ jobs:
# next few steps publish to pypi
- uses: actions/setup-python@v5
with:
python-version: '3.9'
python-version: '3.8'
- name: Build wheels
run: ./scripts/build_a_package.sh
@ -105,9 +101,9 @@ jobs:
- name: Publish to PyPI
env:
TWINE_USERNAME: '__token__'
TWINE_PASSWORD: ${{ secrets.pypi_password }}
TWINE_PASSWORD: ${{ secrets.test_pypi_token }}
run: |
twine upload --skip-existing --verbose dist/*
twine upload --repository testpypi --skip-existing --verbose dist/*
- name: Generate release notes
env:

View File

@ -71,7 +71,6 @@ jobs:
run: .github/scripts/use-cla-approved-github-bot.sh
- name: Create pull request
id: create_pr
env:
# not using secrets.GITHUB_TOKEN since pull requests from that token do not run workflows
GITHUB_TOKEN: ${{ secrets.OPENTELEMETRYBOT_GITHUB_TOKEN }}
@ -81,15 +80,7 @@ jobs:
git commit -a -m "$message"
git push origin HEAD:$branch
pr_url=$(gh pr create --title "[$GITHUB_REF_NAME] $message" \
gh pr create --title "[$GITHUB_REF_NAME] $message" \
--body "$message." \
--head $branch \
--base $GITHUB_REF_NAME)
echo "pr_url=$pr_url" >> $GITHUB_OUTPUT
- name: Add prepare-release label to PR
if: steps.create_pr.outputs.pr_url != ''
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
run: |
gh pr edit ${{ steps.create_pr.outputs.pr_url }} --add-label "prepare-release"
--base $GITHUB_REF_NAME

View File

@ -94,7 +94,6 @@ jobs:
run: .github/scripts/use-cla-approved-github-bot.sh
- name: Create pull request against the release branch
id: create_release_branch_pr
env:
# not using secrets.GITHUB_TOKEN since pull requests from that token do not run workflows
GITHUB_TOKEN: ${{ secrets.OPENTELEMETRYBOT_GITHUB_TOKEN }}
@ -104,18 +103,10 @@ jobs:
git commit -a -m "$message"
git push origin HEAD:$branch
pr_url=$(gh pr create --title "[$RELEASE_BRANCH_NAME] $message" \
gh pr create --title "[$RELEASE_BRANCH_NAME] $message" \
--body "$message." \
--head $branch \
--base $RELEASE_BRANCH_NAME)
echo "pr_url=$pr_url" >> $GITHUB_OUTPUT
- name: Add prepare-release label to PR
if: steps.create_release_branch_pr.outputs.pr_url != ''
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
run: |
gh pr edit ${{ steps.create_release_branch_pr.outputs.pr_url }} --add-label "prepare-release"
--base $RELEASE_BRANCH_NAME
create-pull-request-against-main:
runs-on: ubuntu-latest
@ -188,7 +179,6 @@ jobs:
run: .github/scripts/use-cla-approved-github-bot.sh
- name: Create pull request against main
id: create_main_pr
env:
# not using secrets.GITHUB_TOKEN since pull requests from that token do not run workflows
GITHUB_TOKEN: ${{ secrets.OPENTELEMETRYBOT_GITHUB_TOKEN }}
@ -199,15 +189,7 @@ jobs:
git commit -a -m "$message"
git push origin HEAD:$branch
pr_url=$(gh pr create --title "$message" \
gh pr create --title "$message" \
--body "$body" \
--head $branch \
--base main)
echo "pr_url=$pr_url" >> $GITHUB_OUTPUT
- name: Add prepare-release label to PR
if: steps.create_main_pr.outputs.pr_url != ''
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
run: |
gh pr edit ${{ steps.create_main_pr.outputs.pr_url }} --add-label "prepare-release"
--base main

View File

@ -66,7 +66,7 @@ jobs:
# next few steps publish to pypi
- uses: actions/setup-python@v5
with:
python-version: '3.9'
python-version: '3.8'
- name: Build wheels
run: ./scripts/build.sh
@ -81,13 +81,14 @@ jobs:
# rejected by pypi (e.g "3 - Beta"). This would cause a failure during the
# middle of the package upload causing the action to fail, and certain packages
# might have already been updated, this would be bad.
- name: Publish to TestPyPI
env:
TWINE_USERNAME: '__token__'
TWINE_PASSWORD: ${{ secrets.test_pypi_token }}
run: |
twine upload --repository testpypi --skip-existing --verbose dist/*
# EDIT: 5/31/2024 - TestPypi now requires a verified email. Commenting out as a temporary measure
# until we found TestPypi credentials.
# - name: Publish to TestPyPI
# env:
# TWINE_USERNAME: '__token__'
# TWINE_PASSWORD: ${{ secrets.test_pypi_token }}
# run: |
# twine upload --repository testpypi --skip-existing --verbose dist/*
- name: Publish to PyPI
env:

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@ -1,960 +0,0 @@
# Do not edit this file.
# This file is generated automatically by executing tox -e generate-workflows
name: Test 2
on:
push:
branches-ignore:
- 'release/*'
pull_request:
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }}
cancel-in-progress: true
env:
# Set the SHA to the branch name if the PR has a label 'prepare-release' or 'backport' otherwise, set it to 'main'
# For PRs you can change the inner fallback ('main')
# For pushes you change the outer fallback ('main')
# The logic below is used during releases and depends on having an equivalent branch name in the core repo.
CORE_REPO_SHA: ${{ github.event_name == 'pull_request' && (
contains(github.event.pull_request.labels.*.name, 'prepare-release') && github.event.pull_request.head.ref ||
contains(github.event.pull_request.labels.*.name, 'backport') && github.event.pull_request.base.ref ||
'main'
) || 'main' }}
CONTRIB_REPO_SHA: main
PIP_EXISTS_ACTION: w
jobs:
py312-test-instrumentation-aio-pika-1_ubuntu-latest:
name: instrumentation-aio-pika-1 3.12 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.12
uses: actions/setup-python@v5
with:
python-version: "3.12"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e py312-test-instrumentation-aio-pika-1 -- -ra
py312-test-instrumentation-aio-pika-2_ubuntu-latest:
name: instrumentation-aio-pika-2 3.12 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.12
uses: actions/setup-python@v5
with:
python-version: "3.12"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e py312-test-instrumentation-aio-pika-2 -- -ra
py312-test-instrumentation-aio-pika-3_ubuntu-latest:
name: instrumentation-aio-pika-3 3.12 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.12
uses: actions/setup-python@v5
with:
python-version: "3.12"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e py312-test-instrumentation-aio-pika-3 -- -ra
py313-test-instrumentation-aio-pika-0_ubuntu-latest:
name: instrumentation-aio-pika-0 3.13 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.13
uses: actions/setup-python@v5
with:
python-version: "3.13"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e py313-test-instrumentation-aio-pika-0 -- -ra
py313-test-instrumentation-aio-pika-1_ubuntu-latest:
name: instrumentation-aio-pika-1 3.13 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.13
uses: actions/setup-python@v5
with:
python-version: "3.13"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e py313-test-instrumentation-aio-pika-1 -- -ra
py313-test-instrumentation-aio-pika-2_ubuntu-latest:
name: instrumentation-aio-pika-2 3.13 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.13
uses: actions/setup-python@v5
with:
python-version: "3.13"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e py313-test-instrumentation-aio-pika-2 -- -ra
py313-test-instrumentation-aio-pika-3_ubuntu-latest:
name: instrumentation-aio-pika-3 3.13 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.13
uses: actions/setup-python@v5
with:
python-version: "3.13"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e py313-test-instrumentation-aio-pika-3 -- -ra
pypy3-test-instrumentation-aio-pika-0_ubuntu-latest:
name: instrumentation-aio-pika-0 pypy-3.9 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python pypy-3.9
uses: actions/setup-python@v5
with:
python-version: "pypy-3.9"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e pypy3-test-instrumentation-aio-pika-0 -- -ra
pypy3-test-instrumentation-aio-pika-1_ubuntu-latest:
name: instrumentation-aio-pika-1 pypy-3.9 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python pypy-3.9
uses: actions/setup-python@v5
with:
python-version: "pypy-3.9"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e pypy3-test-instrumentation-aio-pika-1 -- -ra
pypy3-test-instrumentation-aio-pika-2_ubuntu-latest:
name: instrumentation-aio-pika-2 pypy-3.9 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python pypy-3.9
uses: actions/setup-python@v5
with:
python-version: "pypy-3.9"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e pypy3-test-instrumentation-aio-pika-2 -- -ra
pypy3-test-instrumentation-aio-pika-3_ubuntu-latest:
name: instrumentation-aio-pika-3 pypy-3.9 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python pypy-3.9
uses: actions/setup-python@v5
with:
python-version: "pypy-3.9"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e pypy3-test-instrumentation-aio-pika-3 -- -ra
py39-test-instrumentation-aiokafka_ubuntu-latest:
name: instrumentation-aiokafka 3.9 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.9
uses: actions/setup-python@v5
with:
python-version: "3.9"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e py39-test-instrumentation-aiokafka -- -ra
py310-test-instrumentation-aiokafka_ubuntu-latest:
name: instrumentation-aiokafka 3.10 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.10
uses: actions/setup-python@v5
with:
python-version: "3.10"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e py310-test-instrumentation-aiokafka -- -ra
py311-test-instrumentation-aiokafka_ubuntu-latest:
name: instrumentation-aiokafka 3.11 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.11
uses: actions/setup-python@v5
with:
python-version: "3.11"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e py311-test-instrumentation-aiokafka -- -ra
py312-test-instrumentation-aiokafka_ubuntu-latest:
name: instrumentation-aiokafka 3.12 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.12
uses: actions/setup-python@v5
with:
python-version: "3.12"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e py312-test-instrumentation-aiokafka -- -ra
py313-test-instrumentation-aiokafka_ubuntu-latest:
name: instrumentation-aiokafka 3.13 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.13
uses: actions/setup-python@v5
with:
python-version: "3.13"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e py313-test-instrumentation-aiokafka -- -ra
pypy3-test-instrumentation-aiokafka_ubuntu-latest:
name: instrumentation-aiokafka pypy-3.9 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python pypy-3.9
uses: actions/setup-python@v5
with:
python-version: "pypy-3.9"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e pypy3-test-instrumentation-aiokafka -- -ra
py39-test-instrumentation-kafka-python_ubuntu-latest:
name: instrumentation-kafka-python 3.9 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.9
uses: actions/setup-python@v5
with:
python-version: "3.9"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e py39-test-instrumentation-kafka-python -- -ra
py310-test-instrumentation-kafka-python_ubuntu-latest:
name: instrumentation-kafka-python 3.10 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.10
uses: actions/setup-python@v5
with:
python-version: "3.10"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e py310-test-instrumentation-kafka-python -- -ra
py311-test-instrumentation-kafka-python_ubuntu-latest:
name: instrumentation-kafka-python 3.11 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.11
uses: actions/setup-python@v5
with:
python-version: "3.11"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e py311-test-instrumentation-kafka-python -- -ra
py39-test-instrumentation-kafka-pythonng_ubuntu-latest:
name: instrumentation-kafka-pythonng 3.9 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.9
uses: actions/setup-python@v5
with:
python-version: "3.9"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e py39-test-instrumentation-kafka-pythonng -- -ra
py310-test-instrumentation-kafka-pythonng_ubuntu-latest:
name: instrumentation-kafka-pythonng 3.10 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.10
uses: actions/setup-python@v5
with:
python-version: "3.10"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e py310-test-instrumentation-kafka-pythonng -- -ra
py311-test-instrumentation-kafka-pythonng_ubuntu-latest:
name: instrumentation-kafka-pythonng 3.11 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.11
uses: actions/setup-python@v5
with:
python-version: "3.11"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e py311-test-instrumentation-kafka-pythonng -- -ra
py312-test-instrumentation-kafka-pythonng_ubuntu-latest:
name: instrumentation-kafka-pythonng 3.12 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.12
uses: actions/setup-python@v5
with:
python-version: "3.12"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e py312-test-instrumentation-kafka-pythonng -- -ra
py313-test-instrumentation-kafka-pythonng_ubuntu-latest:
name: instrumentation-kafka-pythonng 3.13 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.13
uses: actions/setup-python@v5
with:
python-version: "3.13"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e py313-test-instrumentation-kafka-pythonng -- -ra
pypy3-test-instrumentation-kafka-python_ubuntu-latest:
name: instrumentation-kafka-python pypy-3.9 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python pypy-3.9
uses: actions/setup-python@v5
with:
python-version: "pypy-3.9"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e pypy3-test-instrumentation-kafka-python -- -ra
pypy3-test-instrumentation-kafka-pythonng_ubuntu-latest:
name: instrumentation-kafka-pythonng pypy-3.9 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python pypy-3.9
uses: actions/setup-python@v5
with:
python-version: "pypy-3.9"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e pypy3-test-instrumentation-kafka-pythonng -- -ra
py39-test-instrumentation-confluent-kafka_ubuntu-latest:
name: instrumentation-confluent-kafka 3.9 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.9
uses: actions/setup-python@v5
with:
python-version: "3.9"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e py39-test-instrumentation-confluent-kafka -- -ra
py310-test-instrumentation-confluent-kafka_ubuntu-latest:
name: instrumentation-confluent-kafka 3.10 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.10
uses: actions/setup-python@v5
with:
python-version: "3.10"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e py310-test-instrumentation-confluent-kafka -- -ra
py311-test-instrumentation-confluent-kafka_ubuntu-latest:
name: instrumentation-confluent-kafka 3.11 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.11
uses: actions/setup-python@v5
with:
python-version: "3.11"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e py311-test-instrumentation-confluent-kafka -- -ra
py312-test-instrumentation-confluent-kafka_ubuntu-latest:
name: instrumentation-confluent-kafka 3.12 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.12
uses: actions/setup-python@v5
with:
python-version: "3.12"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e py312-test-instrumentation-confluent-kafka -- -ra
py313-test-instrumentation-confluent-kafka_ubuntu-latest:
name: instrumentation-confluent-kafka 3.13 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.13
uses: actions/setup-python@v5
with:
python-version: "3.13"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e py313-test-instrumentation-confluent-kafka -- -ra
py39-test-instrumentation-asyncio_ubuntu-latest:
name: instrumentation-asyncio 3.9 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.9
uses: actions/setup-python@v5
with:
python-version: "3.9"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e py39-test-instrumentation-asyncio -- -ra
py310-test-instrumentation-asyncio_ubuntu-latest:
name: instrumentation-asyncio 3.10 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.10
uses: actions/setup-python@v5
with:
python-version: "3.10"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e py310-test-instrumentation-asyncio -- -ra
py311-test-instrumentation-asyncio_ubuntu-latest:
name: instrumentation-asyncio 3.11 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.11
uses: actions/setup-python@v5
with:
python-version: "3.11"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e py311-test-instrumentation-asyncio -- -ra
py312-test-instrumentation-asyncio_ubuntu-latest:
name: instrumentation-asyncio 3.12 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.12
uses: actions/setup-python@v5
with:
python-version: "3.12"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e py312-test-instrumentation-asyncio -- -ra
py313-test-instrumentation-asyncio_ubuntu-latest:
name: instrumentation-asyncio 3.13 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.13
uses: actions/setup-python@v5
with:
python-version: "3.13"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e py313-test-instrumentation-asyncio -- -ra
py39-test-instrumentation-cassandra_ubuntu-latest:
name: instrumentation-cassandra 3.9 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.9
uses: actions/setup-python@v5
with:
python-version: "3.9"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e py39-test-instrumentation-cassandra -- -ra
py310-test-instrumentation-cassandra_ubuntu-latest:
name: instrumentation-cassandra 3.10 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.10
uses: actions/setup-python@v5
with:
python-version: "3.10"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e py310-test-instrumentation-cassandra -- -ra
py311-test-instrumentation-cassandra_ubuntu-latest:
name: instrumentation-cassandra 3.11 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.11
uses: actions/setup-python@v5
with:
python-version: "3.11"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e py311-test-instrumentation-cassandra -- -ra
py312-test-instrumentation-cassandra_ubuntu-latest:
name: instrumentation-cassandra 3.12 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.12
uses: actions/setup-python@v5
with:
python-version: "3.12"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e py312-test-instrumentation-cassandra -- -ra
py313-test-instrumentation-cassandra_ubuntu-latest:
name: instrumentation-cassandra 3.13 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.13
uses: actions/setup-python@v5
with:
python-version: "3.13"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e py313-test-instrumentation-cassandra -- -ra
pypy3-test-instrumentation-cassandra_ubuntu-latest:
name: instrumentation-cassandra pypy-3.9 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python pypy-3.9
uses: actions/setup-python@v5
with:
python-version: "pypy-3.9"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e pypy3-test-instrumentation-cassandra -- -ra
py39-test-processor-baggage_ubuntu-latest:
name: processor-baggage 3.9 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.9
uses: actions/setup-python@v5
with:
python-version: "3.9"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e py39-test-processor-baggage -- -ra
py310-test-processor-baggage_ubuntu-latest:
name: processor-baggage 3.10 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.10
uses: actions/setup-python@v5
with:
python-version: "3.10"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e py310-test-processor-baggage -- -ra
py311-test-processor-baggage_ubuntu-latest:
name: processor-baggage 3.11 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.11
uses: actions/setup-python@v5
with:
python-version: "3.11"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e py311-test-processor-baggage -- -ra
py312-test-processor-baggage_ubuntu-latest:
name: processor-baggage 3.12 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.12
uses: actions/setup-python@v5
with:
python-version: "3.12"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e py312-test-processor-baggage -- -ra
py313-test-processor-baggage_ubuntu-latest:
name: processor-baggage 3.13 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python 3.13
uses: actions/setup-python@v5
with:
python-version: "3.13"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e py313-test-processor-baggage -- -ra
pypy3-test-processor-baggage_ubuntu-latest:
name: processor-baggage pypy-3.9 Ubuntu
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- name: Checkout repo @ SHA - ${{ github.sha }}
uses: actions/checkout@v4
- name: Set up Python pypy-3.9
uses: actions/setup-python@v5
with:
python-version: "pypy-3.9"
- name: Install tox
run: pip install tox-uv
- name: Run tests
run: tox -e pypy3-test-processor-baggage -- -ra

View File

@ -1,15 +1,10 @@
repos:
- repo: https://github.com/astral-sh/ruff-pre-commit
# Ruff version.
rev: v0.6.9
hooks:
# Run the linter.
- id: ruff
args: ["--fix", "--show-fixes"]
# Run the formatter.
- id: ruff-format
- repo: https://github.com/astral-sh/uv-pre-commit
# uv version.
rev: 0.6.0
hooks:
- id: uv-lock
- repo: https://github.com/astral-sh/ruff-pre-commit
# Ruff version.
rev: v0.6.9
hooks:
# Run the linter.
- id: ruff
args: ["--fix", "--show-fixes"]
# Run the formatter.
- id: ruff-format

View File

@ -7,7 +7,7 @@ extension-pkg-whitelist=cassandra
# Add list of files or directories to be excluded. They should be base names, not
# paths.
ignore=CVS,gen,Dockerfile,docker-compose.yml,README.md,requirements.txt,docs,.venv,site-packages,.tox
ignore=CVS,gen,Dockerfile,docker-compose.yml,README.md,requirements.txt,docs
# Add files or directories matching the regex patterns to be excluded. The
# regex matches against base names, not paths.
@ -46,7 +46,7 @@ suggestion-mode=yes
unsafe-load-any-extension=no
# Run python dependant checks considering the baseline version
py-version=3.9
py-version=3.8
[MESSAGES CONTROL]

View File

@ -6,10 +6,10 @@ sphinx:
configuration: docs/conf.py
build:
os: "ubuntu-24.04"
os: "ubuntu-22.04"
tools:
python: "3.11"
python: "3.8"
python:
install:
- requirements: rtd-requirements.txt
- requirements: docs-requirements.txt

View File

@ -9,296 +9,28 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
> The following components are released independently and maintain individual CHANGELOG files.
> Use [this search for a list of all CHANGELOG.md files in this repo](https://github.com/search?q=repo%3Aopen-telemetry%2Fopentelemetry-python-contrib+path%3A**%2FCHANGELOG.md&type=code).
## Unreleased
## Version 1.35.0/0.56b0 (2025-07-11)
## Version 1.28.2/0.49b2 (2024-11-18)
### Added
- `opentelemetry-instrumentation-pika` Added instrumentation for All `SelectConnection` adapters
([#3584](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3584))
- `opentelemetry-instrumentation-tornado` Add support for `WebSocketHandler` instrumentation
([#3498](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3498))
- `opentelemetry-util-http` Added support for redacting specific url query string values and url credentials in instrumentations
([#3508](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3508))
- `opentelemetry-instrumentation-pymongo` `aggregate` and `getMore` capture statements support
([#3601](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3601))
### Fixed
- `opentelemetry-instrumentation-asgi`: fix excluded_urls in instrumentation-asgi
([#3567](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3567))
- `opentelemetry-resource-detector-containerid`: make it more quiet on platforms without cgroups
([#3579](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3579))
## Version 1.34.0/0.55b0 (2025-06-04)
### Fixed
- `opentelemetry-instrumentation-system-metrics`: fix loading on Google Cloud Run
([#3533](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3533))
- `opentelemetry-instrumentation-fastapi`: fix wrapping of middlewares
([#3012](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3012))
- `opentelemetry-instrumentation-starlette` Remove max version constraint on starlette
([#3456](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3456))
- `opentelemetry-instrumentation-starlette` Fix memory leak and double middleware
([#3529](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3529))
- `opentelemetry-instrumentation-urllib3`: proper bucket boundaries in stable semconv http duration metrics
([#3518](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3518))
- `opentelemetry-instrumentation-urllib`: proper bucket boundaries in stable semconv http duration metrics
([#3519](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3519))
- `opentelemetry-instrumentation-falcon`: proper bucket boundaries in stable semconv http duration
([#3525](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3525))
- `opentelemetry-instrumentation-wsgi`: add explicit http duration buckets for stable semconv
([#3527](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3527))
- `opentelemetry-instrumentation-asgi`: add explicit http duration buckets for stable semconv
([#3526](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3526))
- `opentelemetry-instrumentation-flask`: proper bucket boundaries in stable semconv http duration
([#3523](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3523))
- `opentelemetry-instrumentation-django`: proper bucket boundaries in stable semconv http duration
([#3524](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3524))
- `opentelemetry-instrumentation-grpc`: support non-list interceptors
([#3520](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3520))
- `opentelemetry-instrumentation-botocore` Ensure spans end on early stream closure for Bedrock Streaming APIs
([#3481](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3481))
- `opentelemetry-instrumentation-sqlalchemy` Respect suppress_instrumentation functionality
([#3477](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3477))
- `opentelemetry-instrumentation-botocore`: fix handling of tool input in Bedrock ConverseStream
([#3544](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3544))
- `opentelemetry-instrumentation-botocore` Add type check when extracting tool use from Bedrock request message content
([#3548](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3548))
- `opentelemetry-instrumentation-dbapi` Respect suppress_instrumentation functionality ([#3460](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3460))
- `opentelemetry-resource-detector-container` Correctly parse container id when using systemd and cgroupsv1
([#3429](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3429))
### Breaking changes
- `opentelemetry-instrumentation-botocore` Use `cloud.region` instead of `aws.region` span attribute as per semantic conventions.
([#3474](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3474))
- `opentelemetry-instrumentation-fastapi`: Drop support for FastAPI versions earlier than `0.92`
([#3012](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3012))
- `opentelemetry-resource-detector-container`: rename package name to `opentelemetry-resource-detector-containerid`
([#3536](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3536))
### Added
- `opentelemetry-instrumentation-aiohttp-client` Add support for HTTP metrics
([#3517](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3517))
- `opentelemetry-instrumentation-httpx` Add support for HTTP metrics
([#3513](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3513))
- `opentelemetry-instrumentation` Allow re-raising exception when instrumentation fails
([#3545](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3545))
- `opentelemetry-instrumentation-aiokafka` Add instrumentation of `consumer.getmany` (batch)
([#3257](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3257))
### Deprecated
- Drop support for Python 3.8, bump baseline to Python 3.9.
([#3399](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3399))
## Version 1.33.0/0.54b0 (2025-05-09)
### Added
- `opentelemetry-instrumentation-requests` Support explicit_bucket_boundaries_advisory in duration metrics
([#3464](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3464))
- `opentelemetry-instrumentation-redis` Add support for redis client-specific instrumentation.
([#3143](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3143))
### Fixed
- `opentelemetry-instrumentation` Catch `ModuleNotFoundError` when the library is not installed
and log as debug instead of exception
([#3423](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3423))
- `opentelemetry-instrumentation-asyncio` Fix duplicate instrumentation
([#3383](https://github.com/open-telemetry/opentelemetry-python-contrib/issues/3383))
- `opentelemetry-instrumentation-botocore` Add GenAI instrumentation for additional Bedrock models for InvokeModel API
([#3419](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3419))
- `opentelemetry-instrumentation` don't print duplicated conflict log error message
([#3432](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3432))
- `opentelemetry-instrumentation-grpc` Check for None result in gRPC
([#3380](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3381))
- `opentelemetry-instrumentation-[asynclick/click]` Add missing opentelemetry-instrumentation dep
([#3447](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3447))
- `opentelemetry-instrumentation-botocore` Capture server attributes for botocore API calls
([#3448](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3448))
## Version 1.32.0/0.53b0 (2025-04-10)
### Added
- `opentelemetry-instrumentation-asyncclick`: new instrumentation to trace asyncclick commands
([#3319](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3319))
- `opentelemetry-instrumentation-botocore` Add support for GenAI tool events using Amazon Nova models and `InvokeModel*` APIs
([#3385](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3385))
- `opentelemetry-instrumentation` Make auto instrumentation use the same dependency resolver as manual instrumentation does
([#3202](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3202))
### Fixed
- `opentelemetry-instrumentation` Fix client address is set to server address in new semconv
([#3354](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3354))
- `opentelemetry-instrumentation-dbapi`, `opentelemetry-instrumentation-django`,
`opentelemetry-instrumentation-sqlalchemy`: Fix sqlcomment for non string query and composable object.
([#3113](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3113))
- `opentelemetry-instrumentation-grpc` Fix error when using gprc versions <= 1.50.0 with unix sockets.
([[#3393](https://github.com/open-telemetry/opentelemetry-python-contrib/issues/3393)])
- `opentelemetry-instrumentation-asyncio` Fix duplicate instrumentation.
([[#3383](https://github.com/open-telemetry/opentelemetry-python-contrib/issues/3383)])
- `opentelemetry-instrumentation-aiokafka` Fix send_and_wait method no headers kwargs error.
([[#3332](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3332)])
## Version 1.31.0/0.52b0 (2025-03-12)
### Added
- `opentelemetry-instrumentation-openai-v2` Update doc for OpenAI Instrumentation to support OpenAI Compatible Platforms
([#3279](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3279))
- `opentelemetry-instrumentation-system-metrics` Add `process` metrics and deprecated `process.runtime` prefixed ones
([#3250](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3250))
- `opentelemetry-instrumentation-botocore` Add support for GenAI user events and lazy initialize tracer
([#3258](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3258))
- `opentelemetry-instrumentation-botocore` Add support for GenAI system events
([#3266](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3266))
- `opentelemetry-instrumentation-botocore` Add support for GenAI choice events
([#3275](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3275))
- `opentelemetry-instrumentation-botocore` Add support for GenAI tool events
([#3302](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3302))
- `opentelemetry-instrumentation-botocore` Add support for GenAI metrics
([#3326](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3326))
- `opentelemetry-instrumentation` make it simpler to initialize auto-instrumentation programmatically
([#3273](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3273))
- Add `opentelemetry-instrumentation-vertexai>=2.0b0` to `opentelemetry-bootstrap`
([#3307](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3307))
- Loosen `opentelemetry-instrumentation-starlette[instruments]` specifier
([#3304](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3304))
### Fixed
- `opentelemetry-instrumentation-redis` Add missing entry in doc string for `def _instrument`
([#3247](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3247))
- `opentelemetry-instrumentation-botocore` sns-extension: Change destination name attribute
to match topic ARN and redact phone number from attributes
([#3249](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3249))
- `opentelemetry-instrumentation-asyncpg` Fix fallback for empty queries.
([#3253](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3253))
- `opentelemetry-instrumentation` Fix a traceback in sqlcommenter when psycopg connection pooling is enabled.
([#3309](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3309))
- `opentelemetry-instrumentation-threading` Fix broken context typehints
([#3322](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3322))
- `opentelemetry-instrumentation-requests` always record span status code in duration metric
([#3323](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3323))
## Version 1.30.0/0.51b0 (2025-02-03)
### Added
- `opentelemetry-instrumentation-confluent-kafka` Add support for confluent-kafka <=2.7.0
([#3100](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3100))
- Add support to database stability opt-in in `_semconv` utilities and add tests
([#3111](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3111))
- `opentelemetry-instrumentation-urllib` Add `py.typed` file to enable PEP 561
([#3131](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3131))
- `opentelemetry-opentelemetry-pymongo` Add `py.typed` file to enable PEP 561
([#3136](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3136))
- `opentelemetry-opentelemetry-requests` Add `py.typed` file to enable PEP 561
([#3135](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3135))
- `opentelemetry-instrumentation-system-metrics` Add `py.typed` file to enable PEP 561
([#3132](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3132))
- `opentelemetry-opentelemetry-sqlite3` Add `py.typed` file to enable PEP 561
([#3133](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3133))
- `opentelemetry-instrumentation-falcon` add support version to v4
([#3086](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3086))
- `opentelemetry-instrumentation-falcon` Implement new HTTP semantic convention opt-in for Falcon
([#2790](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/2790))
- `opentelemetry-instrumentation-wsgi` always record span status code to have it available in metrics
([#3148](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3148))
- add support to Python 3.13
([#3134](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3134))
- `opentelemetry-opentelemetry-wsgi` Add `py.typed` file to enable PEP 561
([#3129](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3129))
- `opentelemetry-util-http` Add `py.typed` file to enable PEP 561
([#3127](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3127))
- `opentelemetry-instrumentation-psycopg2` Add support for psycopg2-binary
([#3186](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3186))
- `opentelemetry-opentelemetry-botocore` Add basic support for GenAI attributes for AWS Bedrock Converse API
([#3161](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3161))
- `opentelemetry-opentelemetry-botocore` Add basic support for GenAI attributes for AWS Bedrock InvokeModel API
([#3200](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3200))
- `opentelemetry-opentelemetry-botocore` Add basic support for GenAI attributes for AWS Bedrock ConverseStream API
([#3204](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3204))
- `opentelemetry-opentelemetry-botocore` Add basic support for GenAI attributes for AWS Bedrock InvokeModelWithStreamResponse API
([#3206](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3206))
- `opentelemetry-instrumentation-pymssql` Add pymssql instrumentation
([#394](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/394))
- `opentelemetry-instrumentation-mysql` Add sqlcommenter support
([#3163](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3163))
### Fixed
- `opentelemetry-instrumentation-httpx` Fix `RequestInfo`/`ResponseInfo` type hints
([#3105](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3105))
- `opentelemetry-instrumentation-dbapi` Move `TracedCursorProxy` and `TracedConnectionProxy` to the module level
([#3068](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3068))
- `opentelemetry-instrumentation-click` Disable tracing of well-known server click commands
([#3174](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3174))
- `opentelemetry-instrumentation` Fix `get_dist_dependency_conflicts` if no distribution requires
([#3168](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3168))
### Breaking changes
- `opentelemetry-exporter-prometheus-remote-write` updated protobuf required version from 4.21 to 5.26 and regenerated protobufs
([#3219](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3219))
- `opentelemetry-instrumentation-sqlalchemy` including sqlcomment in `db.statement` span attribute value is now opt-in
([#3112](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3112))
- `opentelemetry-instrumentation-dbapi` including sqlcomment in `db.statement` span attribute value is now opt-in
([#3115](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3115))
- `opentelemetry-instrumentation-psycopg2`, `opentelemetry-instrumentation-psycopg`, `opentelemetry-instrumentation-mysqlclient`, `opentelemetry-instrumentation-pymysql`: including sqlcomment in `db.statement` span attribute value is now opt-in
([#3121](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3121))
## Version 1.29.0/0.50b0 (2024-12-11)
### Added
- `opentelemetry-instrumentation-starlette` Add type hints to the instrumentation
([#3045](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3045))
- `opentelemetry-distro` default to OTLP log exporter.
([#3042](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3042))
- `opentelemetry-instrumentation-sqlalchemy` Update unit tests to run with SQLALchemy 2
([#2976](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/2976))
- Add `opentelemetry-instrumentation-openai-v2` to `opentelemetry-bootstrap`
([#2996](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/2996))
- `opentelemetry-instrumentation-sqlalchemy` Add sqlcomment to `db.statement` attribute
([#2937](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/2937))
- `opentelemetry-instrumentation-dbapi` Add sqlcomment to `db.statement` attribute
([#2935](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/2935))
- `opentelemetry-instrumentation-dbapi` instrument_connection accepts optional connect_module
([#3027](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3027))
- `opentelemetry-instrumentation-mysqlclient` Add sqlcommenter support
([#2941](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/2941))
- `opentelemetry-instrumentation-pymysql` Add sqlcommenter support
([#2942](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/2942))
- `opentelemetry-instrumentation-click`: new instrumentation to trace click commands
([#2994](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/2994))
### Fixed
- `opentelemetry-instrumentation-starlette`: Retrieve `meter_provider` key instead of `_meter_provider` on `_instrument`
([#3048](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3048))
- `opentelemetry-instrumentation-httpx`: instrument_client is a static method again
([#3003](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3003))
- `opentelemetry-instrumentation-system_metrics`: fix callbacks reading wrong config
([#3025](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3025))
- `opentelemetry-instrumentation-httpx`: Check if mount transport is none before wrap it
([#3022](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3022))
- Replace all instrumentor unit test `assertEqualSpanInstrumentationInfo` calls with `assertEqualSpanInstrumentationScope` calls
([#3037](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3037))
- `opentelemetry-instrumentation-sqlalchemy` Fixes engines from `sqlalchemy.engine_from_config` not being fully instrumented
([#2816](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/2816))
- `opentelemetry-instrumentation-sqlalchemy`: Fix a remaining memory leak in EngineTracer
([#3053](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3053))
- `opentelemetry-instrumentation-sqlite3`: Update documentation on explicit cursor support of tracing
([#3088](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3088))
### Breaking changes
## Version 1.28.1/0.49b1 (2024-11-08)
### Added
- `opentelemetry-instrumentation-sqlalchemy` Update unit tests to run with SQLALchemy 2
([#2976](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/2976))
### Fixed
### Breaking changes
@ -306,8 +38,6 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
([#2971](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/2971))
- Drop `opentelemetry-instrumentation-test` package from default instrumentation list
([#2969](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/2969))
- `opentelemetry-instrumentation-httpx`: remove private unused `_InstrumentedClient` and `_InstrumentedAsyncClient` classes
([#3036](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3036))
## Version 1.28.0/0.49b0 (2024-11-05)

View File

@ -19,31 +19,23 @@ Please also read the [OpenTelemetry Contributor Guide](https://github.com/open-t
## Index
- [Contributing to opentelemetry-python-contrib](#contributing-to-opentelemetry-python-contrib)
- [Index](#index)
- [Find a Buddy and get Started Quickly](#find-a-buddy-and-get-started-quickly)
- [Development](#development)
- [Virtual Environment](#virtual-environment)
- [Troubleshooting](#troubleshooting)
- [Benchmarks](#benchmarks)
- [Pull Requests](#pull-requests)
- [How to Send Pull Requests](#how-to-send-pull-requests)
- [How to Receive Comments](#how-to-receive-comments)
- [How to Get PRs Reviewed](#how-to-get-prs-reviewed)
- [How to Get PRs Merged](#how-to-get-prs-merged)
- [Design Choices](#design-choices)
- [Focus on Capabilities, Not Structure Compliance](#focus-on-capabilities-not-structure-compliance)
- [Running Tests Locally](#running-tests-locally)
- [Testing against a different Core repo branch/commit](#testing-against-a-different-core-repo-branchcommit)
- [Style Guide](#style-guide)
- [Guideline for instrumentations](#guideline-for-instrumentations)
- [Update supported instrumentation package versions](#update-supported-instrumentation-package-versions)
- [Guideline for GenAI instrumentations](#guideline-for-genai-instrumentations)
- [Get Involved](#get-involved)
- [Expectations from contributors](#expectations-from-contributors)
- [Updating supported Python versions](#updating-supported-python-versions)
- [Bumping the Python baseline](#bumping-the-python-baseline)
- [Adding support for a new Python release](#adding-support-for-a-new-python-release)
* [Find a Buddy and get Started Quickly](#find-a-buddy-and-get-started-quickly)
* [Development](#development)
* [Troubleshooting](#troubleshooting)
* [Benchmarks](#benchmarks)
* [Pull requests](#pull-requests)
* [How to Send Pull Requests](#how-to-send-pull-requests)
* [How to Receive Comments](#how-to-receive-comments)
* [How to Get PRs Reviewed](#how-to-get-prs-reviewed)
* [How to Get PRs Merged](#how-to-get-prs-merged)
* [Design Choices](#design-choices)
* [Focus on Capabilities, Not Structure Compliance](#focus-on-capabilities-not-structure-compliance)
* [Running Tests Locally](#running-tests-locally)
* [Testing against a different Core repo branch/commit](#testing-against-a-different-core-repo-branchcommit)
* [Style Guide](#style-guide)
* [Guideline for instrumentations](#guideline-for-instrumentations)
* [Guidance for GenAI instrumentations](#guideline-for-genai-instrumentations)
* [Expectations from contributors](#expectations-from-contributors)
## Find a Buddy and get Started Quickly
@ -64,62 +56,39 @@ some aspects of development, including testing against multiple Python versions.
To install `tox`, run:
```sh
pip install tox
```
You can also run tox with `uv` support. By default [tox.ini](./tox.ini) will automatically create a provisioned tox environment with `tox-uv`, but you can install it at host level:
```sh
pip install tox-uv
$ pip install tox
```
You can run `tox` with the following arguments:
* `tox` to run all existing tox commands, including unit tests for all packages
under multiple Python versions
* `tox -e docs` to regenerate all docs
* `tox -e docs` to regenerate the API docs
* `tox -e py312-test-instrumentation-aiopg` to e.g. run the aiopg instrumentation unit tests under a specific
Python version
* `tox -e spellcheck` to run a spellcheck on all the code
* `tox -e lint-some-package` to run lint checks on `some-package`
* `tox -e generate-workflows` to run creation of new CI workflows if tox environments have been updated
* `tox -e ruff` to run ruff linter and formatter checks against the entire codebase
`ruff check` and `ruff format` are executed when `tox -e ruff` is run. We strongly recommend you to configure [pre-commit](https://pre-commit.com/) locally to run `ruff` automatically before each commit by installing it as git hooks. You just need to [install pre-commit](https://pre-commit.com/#install) in your environment:
```console
pip install pre-commit -c dev-requirements.txt
$ pip install pre-commit -c dev-requirements.txt
```
and run this command inside the git repository:
```console
pre-commit install
$ pre-commit install
```
See
[`tox.ini`](https://github.com/open-telemetry/opentelemetry-python-contrib/blob/main/tox.ini)
for more detail on available tox commands.
### Virtual Environment
You can also create a single virtual environment to make it easier to run local tests.
For that, you'll need to install [`uv`](https://docs.astral.sh/uv/getting-started/installation/).
After installing `uv`, you can run the following command:
```sh
uv sync
```
This will create a virtual environment in the `.venv` directory and install all the necessary dependencies.
### Troubleshooting
Some packages may require additional system-wide dependencies to be installed. For example, you may need to install `libpq-dev` to run the postgresql client libraries instrumentation tests or `libsnappy-dev` to run the prometheus exporter tests. If you encounter a build error, please check the installation instructions for the package you are trying to run tests for.
For `docs` building, you may need to install `mysql-client` and other required dependencies as necessary. Ensure the Python version used in your local setup matches the version used in the [CI](./.github/workflows/) to maintain compatibility when building the documentation.
> Some packages may require additional system wide dependencies to be installed. For example, you may need to install `libpq-dev` to run the postgresql client libraries instrumentation tests. or `libsnappy-dev` to run the prometheus exporter tests. If you encounter a build error, please check the installation instructions for the package you are trying to run tests for.
### Benchmarks
@ -154,45 +123,31 @@ pull requests (PRs).
To create a new PR, fork the project in GitHub and clone the upstream repo:
```sh
git clone https://github.com/open-telemetry/opentelemetry-python-contrib.git
cd opentelemetry-python-contrib
$ git clone https://github.com/open-telemetry/opentelemetry-python-contrib.git
$ cd opentelemetry-python-contrib
```
Add your fork as an origin:
```sh
git remote add fork https://github.com/YOUR_GITHUB_USERNAME/opentelemetry-python-contrib.git
$ git remote add fork https://github.com/YOUR_GITHUB_USERNAME/opentelemetry-python-contrib.git
```
make sure you have all supported versions of Python installed, install `tox` only for the first time:
Run tests:
```sh
pip install tox tox-uv
```
Run tests in the root of the repository (this will run all tox environments and may take some time):
```sh
tox
# make sure you have all supported versions of Python installed
$ pip install tox # only first time.
$ tox # execute in the root of the repository
```
Check out a new branch, make modifications and push the branch to your fork:
```sh
git checkout -b feature
```
After you edit the files, stage changes in the current directory:
```sh
git add .
```
Then run the following to commit the changes:
```sh
git commit
git push fork feature
$ git checkout -b feature
# edit files
$ git commit
$ git push fork feature
```
Open a pull request against the main `opentelemetry-python-contrib` repo.
@ -316,33 +271,15 @@ Below is a checklist of things to be mindful of when implementing a new instrume
- Isolate sync and async test
- For synchronous tests, the typical test case class is inherited from `opentelemetry.test.test_base.TestBase`. However, if you want to write asynchronous tests, the test case class should inherit also from `IsolatedAsyncioTestCase`. Adding asynchronous tests to a common test class can lead to tests passing without actually running, which can be misleading.
- ex. <https://github.com/open-telemetry/opentelemetry-python-contrib/blob/60fb936b7e5371b3e5587074906c49fb873cbd76/instrumentation/opentelemetry-instrumentation-grpc/tests/test_aio_server_interceptor.py#L84>
- Most of the instrumentations have the same version. If you are going to develop a new instrumentation it would probably have `X.Y.dev` version and depends on `opentelemetry-instrumentation` and `opentelemetry-semantic-conventions` for a [compatible version](https://peps.python.org/pep-0440/#compatible-release). That means that you may need to install the instrumentation dependencies from this repo and the core repo from git.
- Documentation
- When adding a new instrumentation remember to add an entry in `docs/instrumentation/` named `<instrumentation>/<instrumentation>.rst` to have the instrumentation documentation referenced from the index. You can use the entry template available [here](./_template/autodoc_entry.rst)
- Testing
- When adding a new instrumentation remember to update `tox.ini` adding appropriate rules in `envlist`, `command_pre` and `commands` sections
- All instrumentations have the same version. If you are going to develop a new instrumentation it would probably have `X.Y.dev` version and depends on `opentelemetry-instrumentation` and `opentelemetry-semantic-conventions` for the same version. That means that if you want to install your instrumentation you need to install its dependencies from this repo and the core repo also from git.
### Update supported instrumentation package versions
## Guidance for GenAI instrumentations
- Navigate to the **instrumentation package directory:**
- Update **`pyproject.toml`** file by modifying _instruments_ entry in the `[project.optional-dependencies]` section with the new version constraint
- Update `_instruments` variable in instrumentation **`package.py`** file with the new version constraint
- At the **root of the project directory**, run `tox -e generate` to regenerate necessary files
If you're adding support for a new version of the instrumentation package, follow these additional steps:
- At the **instrumentation package directory:** Add new test-requirements.txt file with the respective package version required for testing
- At the **root of the project directory**: Add a new test environment entry for the package version in [tox.ini](./tox.ini) and run `tox -e generate-workflows` to regenerate new workflows accordingly. In the same [tox.ini](./tox.ini) file, search for `opentelemetry-instrumentation-{package}/test-requirements` and add a new line to point to the new test-requirements.txt you created in the previous step so tox can install the correct requirements.
Example PRs: [#2976](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/2976), [#2845](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/2845)
## Guideline for GenAI instrumentations
Instrumentations that relate to [Generative AI](https://opentelemetry.io/docs/specs/semconv/gen-ai/) systems will be placed in the [instrumentation-genai](./instrumentation-genai) folder. This section covers contributions related to those instrumentations. Please note that the [guidelines for instrumentations](#guideline-for-instrumentations) and [expectations from contributors](#expectations-from-contributors) still apply.
Instrumentations that relate to [Generative AI](https://opentelemetry.io/docs/specs/semconv/gen-ai/) systems will be placed in the [genai](./instrumentation/genai) folder. This section covers contributions related to those instrumentations. Please note that the [guidelines for instrumentations](#guideline-for-instrumentations) and [expectations from contributors](#expectations-from-contributors) still apply.
### Get Involved
* Reviewing PRs: If you would like to be tagged as reviewer in new PRs related to these instrumentations, please submit a PR to add your GitHub handle to [component_owners.yml](https://github.com/open-telemetry/opentelemetry-python-contrib/blob/main/.github/component_owners.yml) under the corresponding instrumentation folder(s).
* Reviewing PRs: If you would like to be tagged as reviewer in new PRs related to these instrumentations, please submit a PR to add your GitHub handle to [component_owners.yml](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/2944/.github/component_owners.yml) under the corresponding instrumentation folder(s).
* Approving PRs: If you would like to be able to approve PRs related to these instrumentations, you must join [opentelemetry-python-contrib-approvers](https://github.com/orgs/open-telemetry/teams/opentelemetry-python-contrib-approvers) team. Please ask one of the [Python contrib maintainers](https://github.com/orgs/open-telemetry/teams/opentelemetry-python-contrib-maintainers) to be accepted into the team.
@ -360,7 +297,6 @@ When updating the minimum supported Python version remember to:
- Remove the version in `pyproject.toml` trove classifiers
- Remove the version from `tox.ini`
- Update github workflows accordingly with `tox -e generate-workflows`
- Search for `sys.version_info` usage and remove code for unsupported versions
- Bump `py-version` in `.pylintrc` for Python version dependent checks
@ -370,6 +306,6 @@ When adding support for a new Python release remember to:
- Add the version in `tox.ini`
- Add the version in `pyproject.toml` trove classifiers
- Update github workflows accordingly with `tox -e generate-workflows`; lint and benchmarks use the latest supported version
- Update github workflows accordingly; lint and benchmarks use the latest supported version
- Update `.pre-commit-config.yaml`
- Update tox examples in the documentation

View File

@ -33,7 +33,7 @@
<strong>
<a href="CONTRIBUTING.md">Contributing<a/>
&nbsp;&nbsp;&bull;&nbsp;&nbsp;
<a href="https://opentelemetry-python-contrib.readthedocs.io/en/latest/#instrumentations">Instrumentations<a/>
<a href="https://opentelemetry-python-contrib.readthedocs.io/en/stable/#examples">Examples<a/>
</strong>
</p>
@ -48,7 +48,6 @@ The Python auto-instrumentation libraries for [OpenTelemetry](https://openteleme
* [Installation](#installation)
* [Releasing](#releasing)
* [Releasing a package as `1.0` stable](#releasing-a-package-as-10-stable)
* [Semantic Convention status of instrumentations](#semantic-convention-status-of-instrumentations)
* [Contributing](#contributing)
* [Thanks to all the people who already contributed](#thanks-to-all-the-people-who-already-contributed)
@ -101,7 +100,7 @@ To release a package as `1.0` stable, the package:
## Semantic Convention status of instrumentations
In our efforts to maintain optimal user experience and prevent breaking changes for transitioning into stable semantic conventions, OpenTelemetry Python is adopting the semantic convention migration plan for several instrumentations. Currently this plan is only being adopted for [HTTP-related instrumentations](https://github.com/open-telemetry/semantic-conventions/blob/main/docs/non-normative/http-migration.md), but will eventually cover all types. Please refer to the `semconv status` column of the [instrumentation README](instrumentation/README.md) of the current status of instrumentations' semantic conventions. The possible values are `development`, `stable` and `migration` referring to [status](https://github.com/open-telemetry/opentelemetry-specification/blob/v1.31.0/specification/document-status.md#lifecycle-status) of that particular semantic convention. `Migration` refers to an instrumentation that currently supports the migration plan.
In our efforts to maintain optimal user experience and prevent breaking changes for transitioning into stable semantic conventions, OpenTelemetry Python is adopting the [semantic convention migration plan](https://github.com/open-telemetry/semantic-conventions/blob/main/docs/http/migration-guide.md) for several instrumentations. Currently this plan is only being adopted for HTTP-related instrumentations, but will eventually cover all types. Please refer to the `semconv status` column of the [instrumentation README](instrumentation/README.md) of the current status of instrumentations' semantic conventions. The possible values are `experimental`, `stable` and `migration` referring to [status](https://github.com/open-telemetry/opentelemetry-specification/blob/v1.31.0/specification/document-status.md#lifecycle-status) of that particular semantic convention. `Migration` refers to an instrumentation that currently supports the migration plan.
## Contributing
@ -111,18 +110,9 @@ We meet weekly on Thursday at 9AM PT. The meeting is subject to change depending
Meeting notes are available as a public [Google doc](https://docs.google.com/document/d/1CIMGoIOZ-c3-igzbd6_Pnxx1SjAkjwqoYSUWxPY8XIs/edit). For edit access, get in touch on [GitHub Discussions](https://github.com/open-telemetry/opentelemetry-python/discussions).
### Maintainers
Approvers ([@open-telemetry/python-approvers](https://github.com/orgs/open-telemetry/teams/python-approvers)):
- [Aaron Abbott](https://github.com/aabmass), Google
- [Leighton Chen](https://github.com/lzchen), Microsoft
- [Riccardo Magliocchetti](https://github.com/xrmx), Elastic
- [Shalev Roda](https://github.com/shalevr), Cisco
For more information about the maintainer role, see the [community repository](https://github.com/open-telemetry/community/blob/main/guides/contributor/membership.md#maintainer).
### Approvers
- [Emídio Neto](https://github.com/emdneto), PicPay
- [Emídio Neto](https://github.com/emdneto), Zenvia
- [Jeremy Voss](https://github.com/jeremydvoss), Microsoft
- [Owais Lone](https://github.com/owais), Splunk
- [Pablo Collins](https://github.com/pmcollins), Splunk
@ -130,29 +120,34 @@ For more information about the maintainer role, see the [community repository](h
- [Srikanth Chekuri](https://github.com/srikanthccv), signoz.io
- [Tammy Baylis](https://github.com/tammy-baylis-swi), SolarWinds
For more information about the approver role, see the [community repository](https://github.com/open-telemetry/community/blob/main/guides/contributor/membership.md#approver).
Emeritus Approvers:
### Emeritus Maintainers
- [Ashutosh Goel](https://github.com/ashu658), Cisco
- [Héctor Hernández](https://github.com/hectorhdzg), Microsoft
- [Nikolay Sokolik](https://github.com/oxeye-nikolay), Oxeye
- [Nikolay Sokolik](https://github.com/nikosokolik), Oxeye
- [Nathaniel Ruiz Nowell](https://github.com/NathanielRN), AWS
- [Alex Boten](https://github.com/codeboten)
- [Diego Hurtado](https://github.com/ocelotl)
- [Owais Lone](https://github.com/owais)
- [Yusuke Tsutsumi](https://github.com/toumorokoshi)
*Find more about the approver role in [community repository](https://github.com/open-telemetry/community/blob/main/community-membership.md#approver).*
For more information about the emeritus role, see the [community repository](https://github.com/open-telemetry/community/blob/main/guides/contributor/membership.md#emeritus-maintainerapprovertriager).
Maintainers ([@open-telemetry/python-maintainers](https://github.com/orgs/open-telemetry/teams/python-maintainers)):
### Emeritus Approvers
- [Aaron Abbott](https://github.com/aabmass), Google
- [Leighton Chen](https://github.com/lzchen), Microsoft
- [Riccardo Magliocchetti](https://github.com/xrmx), Elastic
- [Shalev Roda](https://github.com/shalevr), Cisco
- [Ashutosh Goel](https://github.com/ashu658)
- [Héctor Hernández](https://github.com/hectorhdzg)
- [Nathaniel Ruiz Nowell](https://github.com/NathanielRN)
- [Nikolay Sokolik](https://github.com/nikosokolik)
- [Nikolay Sokolik](https://github.com/oxeye-nikolay)
Emeritus Maintainers:
For more information about the emeritus role, see the [community repository](https://github.com/open-telemetry/community/blob/main/guides/contributor/membership.md#emeritus-maintainerapprovertriager).
- [Alex Boten](https://github.com/codeboten), Lightstep
- [Diego Hurtado](https://github.com/ocelotl), Lightstep
- [Owais Lone](https://github.com/owais), Splunk
- [Yusuke Tsutsumi](https://github.com/toumorokoshi), Google
### Thanks to all of our contributors!
*Find more about the maintainer role in [community repository](https://github.com/open-telemetry/community/blob/main/community-membership.md#maintainer).*
### Thanks to all the people who already contributed
<a href="https://github.com/open-telemetry/opentelemetry-python-contrib/graphs/contributors">
<img alt="Repo contributors" src="https://contrib.rocks/image?repo=open-telemetry/opentelemetry-python-contrib" />
<img src="https://contributors-img.web.app/image?repo=open-telemetry/opentelemetry-python-contrib" />
</a>

View File

@ -9,10 +9,8 @@
(otherwise the workflow will pick up the version from `main` and just remove the `.dev` suffix).
* Review the two pull requests that it creates.
(one is targeted to the release branch and one is targeted to `main`).
* The builds will fail for the release PR because of validation rules. Follow the [release workflow](https://github.com/open-telemetry/opentelemetry-python/blob/main/RELEASING.md) for the core repo up until this same point.
* Close and reopen the PR so that the workflow will take into account the label automation we have in place
* Merge the release PR.
* Merge the PR to main (this can be done separately from [making the release](#making-the-release))
* Merge the one targeted towards the release branch.
* The builds will fail for the `main` pr because of validation rules. Follow the [release workflow](https://github.com/open-telemetry/opentelemetry-python/blob/main/RELEASING.md) for the core repo up until this same point. Change the SHAs of each PR to point at each other to get the `main` builds to pass.
### Preparing a major or minor release for individual package
@ -21,9 +19,6 @@
> - opentelemetry-propagator-aws-xray
> - opentelemetry-resource-detector-azure
> - opentelemetry-sdk-extension-aws
> - opentelemetry-instrumentation-openai-v2
> - opentelemetry-instrumentation-vertexai
> - opentelemetry-instrumentation-google-genai
>
> These libraries are also excluded from the general release.
@ -32,8 +27,6 @@ to pick a specific package to release. It follows the same versioning strategy a
Long-term package release branch follows `package-release/{package-name}/v{major}.{minor}.x` (or `package-release/{package-name}/v{major}.{minor}bx`) naming pattern.
The workflow will create two pull requests, one against the `main` and one against the `package-release/` branch; both should be merged in order to proceed with the release.
## Preparing a new patch release
* Backport pull request(s) to the release branch.
@ -41,8 +34,6 @@ The workflow will create two pull requests, one against the `main` and one again
* Press the "Run workflow" button, then select the release branch from the dropdown list,
e.g. `release/v1.9.x`, then enter the pull request number that you want to backport,
then click the "Run workflow" button below that.
* Add the label `backport` to the generated pull request.
* In case label automation doesn't work, just close and reopen the PR so that the workflow will take into account the label automation we have in place.
* Review and merge the backport pull request that it generates.
* Merge a pull request to the release branch updating the `CHANGELOG.md`.
* The heading for the unreleased entries should be `## Unreleased`.
@ -50,7 +41,6 @@ The workflow will create two pull requests, one against the `main` and one again
* Press the "Run workflow" button, then select the release branch from the dropdown list,
e.g. `release/v1.9.x`, and click the "Run workflow" button below that.
* Review and merge the pull request that it creates for updating the version.
* Note: If you are doing a patch release in `-contrib` repo, you should also do an equivalent patch release in `-core` repo (even if there's no fix to release), otherwise tests in CI will fail.
### Preparing a patch release for individual package
@ -63,8 +53,6 @@ to pick a specific package to release.
The workflow can only be run against long-term release branch such as `package-release/{package-name}/v{major}.{minor}.x` or `package-release/{package-name}/v{major}.{minor}bx`.
The workflow will create a pull request that should be merged in order to proceed with the release.
## Making the release
* Run the [Release workflow](https://github.com/open-telemetry/opentelemetry-python-contrib/actions/workflows/release.yml).
@ -74,7 +62,6 @@ The workflow will create a pull request that should be merged in order to procee
* Review and merge the pull request that it creates for updating the change log in main
(note that if this is not a patch release then the change log on main may already be up-to-date,
in which case no pull request will be created).
* Verify that a new [Github release](https://github.com/open-telemetry/opentelemetry-python-contrib/releases) has been created and that the CHANGELOGs look correct.
### Releasing individual package
@ -83,9 +70,6 @@ The workflow will create a pull request that should be merged in order to procee
> - opentelemetry-propagator-aws-xray
> - opentelemetry-resource-detector-azure
> - opentelemetry-sdk-extension-aws
> - opentelemetry-instrumentation-openai-v2
> - opentelemetry-instrumentation-vertexai
> - opentelemetry-instrumentation-google-genai
>
> These libraries are also excluded from the general patch release.
@ -94,14 +78,6 @@ to pick a specific package to release.
The workflow can only be run against long-term release branch such as `package-release/{package-name}/v{major}.{minor}.x` or `package-release/{package-name}/v{major}.{minor}bx`.
## After the release
* Check PyPI
* This should be handled automatically on release by the [publish action](https://github.com/open-telemetry/opentelemetry-python-contrib/blob/main/.github/workflows/release.yml).
* Check the [action logs](https://github.com/open-telemetry/opentelemetry-python-contrib/actions/workflows/release.yml) to make sure packages have been uploaded to PyPI
* Check the release history (e.g. https://pypi.org/project/opentelemetry-instrumentation/#history) on PyPI
* If for some reason the action failed, see [Publish failed](#publish-failed) below
## Notes about version numbering for stable components
* The version number for stable components in the `main` branch is always `X.Y.0.dev`,
@ -133,6 +109,28 @@ The workflow can only be run against long-term release branch such as `package-r
* The version number for unstable components in the `main` branch will be bumped to the next version,
e.g. `0.{Y+1}b0.dev`.
## After the release
* Check PyPI
* This should be handled automatically on release by the [publish action](https://github.com/open-telemetry/opentelemetry-python-contrib/blob/main/.github/workflows/release.yml).
* Check the [action logs](https://github.com/open-telemetry/opentelemetry-python-contrib/actions/workflows/release.yml) to make sure packages have been uploaded to PyPI
* Check the release history (e.g. https://pypi.org/project/opentelemetry-instrumentation/#history) on PyPI
* If for some reason the action failed, see [Publish failed](#publish-failed) below
* Move stable tag
* Run the following (TODO automate):
```bash
git tag -d stable
git tag stable
git push --delete origin tagname
git push origin stable
```
* This will ensure the docs are pointing at the stable release.
* To validate this worked, ensure the stable build has run successfully:
<https://readthedocs.org/projects/opentelemetry-python/builds/>.
If the build has not run automatically, it can be manually trigger via the readthedocs interface.
## Releasing dev version of new packages to claim namespace
When a contribution introduces a new package, in order to mitigate name-squatting incidents, release the current development version of the new package under the `opentelemetry` user to simply claim the namespace. This should be done shortly after the PR that introduced this package has been merged into `main`.

View File

@ -1,7 +0,0 @@
.. include:: ../../../instrumentation/opentelemetry-instrumentation-<REPLACE ME>/README.rst
:end-before: References
.. automodule:: opentelemetry.instrumentation.<REPLACE ME>
:members:
:undoc-members:
:show-inheritance:

View File

@ -12,7 +12,7 @@ dynamic = ["version"]
description = "<REPLACE ME>"
readme = "README.rst"
license = "Apache-2.0"
requires-python = ">=3.9"
requires-python = ">=3.8"
authors = [
{ name = "OpenTelemetry Authors", email = "cncf-opentelemetry-contributors@lists.cncf.io" },
]
@ -22,11 +22,11 @@ classifiers = [
"License :: OSI Approved :: Apache Software License",
"Programming Language :: Python",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
]
dependencies = [
"opentelemetry-api ~= 1.12",
@ -41,7 +41,6 @@ REPLACE_ME = "opentelemetry.instrumentation.<REPLACE>"
# url of the instrumentation e.g
# Homepage = "https://github.com/open-telemetry/opentelemetry-python-contrib/instrumentation/opentelemetry-instrumentation-sqlalchemy"
Homepage = "<REPLACE ME>"
Repository = "https://github.com/open-telemetry/opentelemetry-python-contrib"
[tool.hatch.version]
# REPLACE ME: the path to the version file e.g

View File

@ -12,4 +12,4 @@
# See the License for the specific language governing permissions and
# limitations under the License.
__version__ = "0.57b0.dev"
__version__ = "0.49b2"

View File

@ -1,6 +1,6 @@
pylint==3.0.2
httpretty==1.1.4
pyright==v1.1.396
mypy==0.931
sphinx==7.1.2
sphinx-rtd-theme==2.0.0rc4
sphinx-autodoc-typehints==1.25.2
@ -8,6 +8,7 @@ pytest==7.4.4
pytest-cov==4.1.0
readme-renderer==42.0
bleach==4.1.0 # transient dependency for readme-renderer
protobuf~=3.13
markupsafe>=2.0.1
codespell==2.1.0
requests==2.32.3

View File

@ -2,6 +2,14 @@ sphinx==7.1.2
sphinx-rtd-theme==2.0.0rc4
sphinx-autodoc-typehints==1.25.2
# Need to install the api/sdk in the venv for autodoc. Modifying sys.path
# doesn't work for pkg_resources.
-e "git+https://github.com/open-telemetry/opentelemetry-python.git#egg=opentelemetry-api&subdirectory=opentelemetry-api"
-e "git+https://github.com/open-telemetry/opentelemetry-python.git#egg=opentelemetry-semantic-conventions&subdirectory=opentelemetry-semantic-conventions"
-e "git+https://github.com/open-telemetry/opentelemetry-python.git#egg=opentelemetry-sdk&subdirectory=opentelemetry-sdk"
-e "git+https://github.com/open-telemetry/opentelemetry-python-contrib.git#egg=opentelemetry-util-http&subdirectory=util/opentelemetry-util-http"
./opentelemetry-instrumentation
# Required by opentelemetry-instrumentation
fastapi>=0.65.2
pymemcache~=1.3
@ -15,7 +23,6 @@ aiohttp~=3.0
aiokafka~=0.11.0
aiopg>=0.13.0,<1.3.0
asyncpg>=0.12.0
asyncclick~=8.0
boto~=2.0
botocore~=1.0
boto3~=1.0
@ -26,23 +33,21 @@ elasticsearch>=6.0,<9.0
flask~=2.0
falcon~=2.0
grpcio~=1.27
httpx>=0.18.0
kafka-python>=2.0,<3.0
mysql-connector-python~=8.0
mysqlclient~=2.1.1
openai >= 1.26.0
psutil>=5
psycopg~=3.1.17
pika>=0.12.0
pymongo~=4.6.3
PyMySQL~=1.1.1
pymssql~=2.3.2
pyramid>=1.7
redis>=2.6
remoulade>=0.50
sqlalchemy>=1.0
tornado>=5.1.1
tortoise-orm>=0.17.0
httpx>=0.18.0
# indirect dependency pins
markupsafe==2.0.1

View File

@ -40,13 +40,6 @@ instr_dirs = [
if isdir(join(instr, f))
]
instr_genai = "../instrumentation-genai"
instr_genai_dirs = [
os.path.abspath("/".join(["../instrumentation-genai", f, "src"]))
for f in listdir(instr_genai)
if isdir(join(instr_genai, f))
]
prop = "../propagator"
prop_dirs = [
os.path.abspath("/".join([prop, f, "src"]))
@ -67,14 +60,7 @@ resource_dirs = [
for f in listdir(resource)
if isdir(join(resource, f))
]
sys.path[:0] = (
exp_dirs
+ instr_dirs
+ instr_genai_dirs
+ sdk_ext_dirs
+ prop_dirs
+ resource_dirs
)
sys.path[:0] = exp_dirs + instr_dirs + sdk_ext_dirs + prop_dirs + resource_dirs
# -- Project information -----------------------------------------------------
@ -122,7 +108,6 @@ intersphinx_mapping = {
"https://opentelemetry-python.readthedocs.io/en/latest/",
None,
),
"redis": ("https://redis.readthedocs.io/en/latest/", None),
}
# http://www.sphinx-doc.org/en/master/config.html#confval-nitpicky

View File

@ -24,7 +24,7 @@ installed separately via pip:
pip install opentelemetry-instrumentation-{instrumentation}
pip install opentelemetry-sdk-extension-{sdk-extension}
A complete list of packages can be found at the
A complete list of packages can be found at the
`Contrib repo instrumentation <https://github.com/open-telemetry/opentelemetry-python-contrib/tree/main/instrumentation>`_
and `Contrib repo exporter <https://github.com/open-telemetry/opentelemetry-python-contrib/tree/main/exporter>`_ directories.
@ -50,9 +50,8 @@ install <https://pip.pypa.io/en/stable/reference/pip_install/#editable-installs>
cd opentelemetry-python-contrib
pip install -e ./instrumentation/opentelemetry-instrumentation-flask
pip install -e ./instrumentation/opentelemetry-instrumentation-botocore
pip install -e ./instrumentation-genai/opentelemetry-instrumentation-openai-v2
pip install -e ./sdk-extension/opentelemetry-sdk-extension-aws
pip install -e ./resource/opentelemetry-resource-detector-containerid
pip install -e ./resource/opentelemetry-resource-detector-container
.. toctree::
@ -63,14 +62,6 @@ install <https://pip.pypa.io/en/stable/reference/pip_install/#editable-installs>
instrumentation/**
.. toctree::
:maxdepth: 2
:caption: OpenTelemetry Generative AI Instrumentations
:name: Generative AI Instrumentations
:glob:
instrumentation-genai/**
.. toctree::
:maxdepth: 2
:caption: OpenTelemetry Propagators

View File

@ -1,7 +0,0 @@
OpenTelemetry Python - OpenAI Instrumentation
=============================================
.. automodule:: opentelemetry.instrumentation.openai_v2
:members:
:undoc-members:
:show-inheritance:

View File

@ -1,7 +0,0 @@
.. include:: ../../../instrumentation/opentelemetry-instrumentation-aiohttp-server/README.rst
:end-before: References
.. automodule:: opentelemetry.instrumentation.aiohttp_server
:members:
:undoc-members:
:show-inheritance:

View File

@ -1,7 +0,0 @@
.. include:: ../../../instrumentation/opentelemetry-instrumentation-asyncclick/README.rst
:end-before: References
.. automodule:: opentelemetry.instrumentation.asyncclick
:members:
:undoc-members:
:show-inheritance:

View File

@ -1,7 +0,0 @@
.. include:: ../../../instrumentation/opentelemetry-instrumentation-click/README.rst
:end-before: References
.. automodule:: opentelemetry.instrumentation.click
:members:
:undoc-members:
:show-inheritance:

View File

@ -1,7 +0,0 @@
OpenTelemetry pymssql Instrumentation
=====================================
.. automodule:: opentelemetry.instrumentation.pymssql
:members:
:undoc-members:
:show-inheritance:

View File

@ -1,10 +1,7 @@
.. include:: ../../../instrumentation/opentelemetry-instrumentation-redis/README.rst
:end-before: References
Usage
-----
OpenTelemetry Redis Instrumentation
===================================
.. automodule:: opentelemetry.instrumentation.redis
:members:
:undoc-members:
:show-inheritance:
:show-inheritance:

View File

@ -24,14 +24,10 @@ py-class=
httpx.Client
httpx.AsyncClient
httpx.BaseTransport
openai.BaseTransport
httpx.AsyncBaseTransport
httpx.SyncByteStream
httpx.AsyncByteStream
httpx.Response
httpx.URL
httpx.Headers
aiohttp.web_request.Request
yarl.URL
cimpl.Producer
cimpl.Consumer
@ -41,10 +37,6 @@ py-class=
callable
Consumer
confluent_kafka.Message
psycopg.Connection
psycopg.AsyncConnection
ObjectProxy
fastapi.applications.FastAPI
any=
; API
@ -72,9 +64,7 @@ any=
py-obj=
opentelemetry.propagators.textmap.CarrierT
opentelemetry.instrumentation.dbapi.ConnectionT
opentelemetry.instrumentation.dbapi.CursorT
py-func=
poll
flush

View File

@ -1,7 +1,7 @@
OpenTelemetry Python - Resource Detector for Containers
=======================================================
.. automodule:: opentelemetry.resource.detector.containerid
.. automodule:: opentelemetry.resource.detector.container
:members:
:undoc-members:
:show-inheritance:

View File

@ -16,7 +16,7 @@ sortfirst=
ext/*
[stable]
version=1.36.0.dev
version=1.28.2
packages=
opentelemetry-sdk
@ -34,7 +34,7 @@ packages=
opentelemetry-api
[prerelease]
version=0.57b0.dev
version=0.49b2
packages=
all
@ -43,15 +43,13 @@ packages=
opentelemetry-instrumentation
opentelemetry-contrib-instrumentations
opentelemetry-distro
opentelemetry-resource-detector-containerid
opentelemetry-resource-detector-container
[exclude_release]
packages=
opentelemetry-resource-detector-azure
opentelemetry-sdk-extension-aws
opentelemetry-propagator-aws-xray
opentelemetry-instrumentation-google-genai
opentelemetry-instrumentation-vertexai
opentelemetry-instrumentation-openai-v2
opentelemetry-instrumentation-test

View File

@ -1,4 +1,4 @@
FROM python:3.9
FROM python:3.8
RUN apt-get update -y && apt-get install libsnappy-dev -y

View File

@ -1,3 +1,3 @@
## Instructions
1. Install protobuf tools. Can use your package manager or download from [GitHub](https://github.com/protocolbuffers/protobuf/releases/tag/v26.0)
2. Run `generate-proto-py.sh` from inside the `proto/` directory
1. Install protobuf tools. Can use your package manager or download from [GitHub](https://github.com/protocolbuffers/protobuf/releases/tag/v21.7)
2. Run `generate-proto-py.sh` from inside the `proto/` directory

View File

@ -49,7 +49,7 @@ sed -i 's/import "gogoproto\/gogo.proto";/import "opentelemetry\/exporter\/prome
echo "Removing clones..."
rm -rf protobuf prometheus
# Used libprotoc 26
# Used libprotoc 3.21.1 & protoc 21.7
echo "Compiling proto files to Python"
protoc -I . --python_out=../src ${SRC_DIR}/gogoproto/gogo.proto ${SRC_DIR}/remote.proto ${SRC_DIR}/types.proto

View File

@ -9,7 +9,7 @@ dynamic = ["version"]
description = "Prometheus Remote Write Metrics Exporter for OpenTelemetry"
readme = "README.rst"
license = "Apache-2.0"
requires-python = ">=3.9"
requires-python = ">=3.8"
authors = [
{ name = "OpenTelemetry Authors", email = "cncf-opentelemetry-contributors@lists.cncf.io" },
]
@ -19,14 +19,14 @@ classifiers = [
"License :: OSI Approved :: Apache Software License",
"Programming Language :: Python",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
]
dependencies = [
"protobuf ~= 5.26",
"protobuf ~= 4.21",
"requests ~= 2.28",
"opentelemetry-api ~= 1.12",
"opentelemetry-sdk ~= 1.12",
@ -35,7 +35,6 @@ dependencies = [
[project.urls]
Homepage = "https://github.com/open-telemetry/opentelemetry-python-contrib/tree/main/exporter/opentelemetry-exporter-prometheus-remote-write"
Repository = "https://github.com/open-telemetry/opentelemetry-python-contrib"
[tool.hatch.version]
path = "src/opentelemetry/exporter/prometheus_remote_write/version.py"

View File

@ -1,45 +1,58 @@
# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: opentelemetry/exporter/prometheus_remote_write/gen/remote.proto
# Protobuf Python Version: 5.26.0
"""Generated protocol buffer code."""
from google.protobuf.internal import builder as _builder
from google.protobuf import descriptor as _descriptor
from google.protobuf import descriptor_pool as _descriptor_pool
from google.protobuf import symbol_database as _symbol_database
from google.protobuf.internal import builder as _builder
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
from opentelemetry.exporter.prometheus_remote_write.gen import types_pb2 as opentelemetry_dot_exporter_dot_prometheus__remote__write_dot_gen_dot_types__pb2
from opentelemetry.exporter.prometheus_remote_write.gen.gogoproto import gogo_pb2 as opentelemetry_dot_exporter_dot_prometheus__remote__write_dot_gen_dot_gogoproto_dot_gogo__pb2
from opentelemetry.exporter.prometheus_remote_write.gen import (
types_pb2 as opentelemetry_dot_exporter_dot_prometheus__remote__write_dot_gen_dot_types__pb2,
)
from opentelemetry.exporter.prometheus_remote_write.gen.gogoproto import (
gogo_pb2 as opentelemetry_dot_exporter_dot_prometheus__remote__write_dot_gen_dot_gogoproto_dot_gogo__pb2,
)
DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n?opentelemetry/exporter/prometheus_remote_write/gen/remote.proto\x12\nprometheus\x1a>opentelemetry/exporter/prometheus_remote_write/gen/types.proto\x1aGopentelemetry/exporter/prometheus_remote_write/gen/gogoproto/gogo.proto\"z\n\x0cWriteRequest\x12\x30\n\ntimeseries\x18\x01 \x03(\x0b\x32\x16.prometheus.TimeSeriesB\x04\xc8\xde\x1f\x00\x12\x32\n\x08metadata\x18\x03 \x03(\x0b\x32\x1a.prometheus.MetricMetadataB\x04\xc8\xde\x1f\x00J\x04\x08\x02\x10\x03\"\xae\x01\n\x0bReadRequest\x12\"\n\x07queries\x18\x01 \x03(\x0b\x32\x11.prometheus.Query\x12\x45\n\x17\x61\x63\x63\x65pted_response_types\x18\x02 \x03(\x0e\x32$.prometheus.ReadRequest.ResponseType\"4\n\x0cResponseType\x12\x0b\n\x07SAMPLES\x10\x00\x12\x17\n\x13STREAMED_XOR_CHUNKS\x10\x01\"8\n\x0cReadResponse\x12(\n\x07results\x18\x01 \x03(\x0b\x32\x17.prometheus.QueryResult\"\x8f\x01\n\x05Query\x12\x1a\n\x12start_timestamp_ms\x18\x01 \x01(\x03\x12\x18\n\x10\x65nd_timestamp_ms\x18\x02 \x01(\x03\x12*\n\x08matchers\x18\x03 \x03(\x0b\x32\x18.prometheus.LabelMatcher\x12$\n\x05hints\x18\x04 \x01(\x0b\x32\x15.prometheus.ReadHints\"9\n\x0bQueryResult\x12*\n\ntimeseries\x18\x01 \x03(\x0b\x32\x16.prometheus.TimeSeries\"]\n\x13\x43hunkedReadResponse\x12\x31\n\x0e\x63hunked_series\x18\x01 \x03(\x0b\x32\x19.prometheus.ChunkedSeries\x12\x13\n\x0bquery_index\x18\x02 \x01(\x03\x42\x08Z\x06prompbb\x06proto3')
DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(
b'\n?opentelemetry/exporter/prometheus_remote_write/gen/remote.proto\x12\nprometheus\x1a>opentelemetry/exporter/prometheus_remote_write/gen/types.proto\x1aGopentelemetry/exporter/prometheus_remote_write/gen/gogoproto/gogo.proto"z\n\x0cWriteRequest\x12\x30\n\ntimeseries\x18\x01 \x03(\x0b\x32\x16.prometheus.TimeSeriesB\x04\xc8\xde\x1f\x00\x12\x32\n\x08metadata\x18\x03 \x03(\x0b\x32\x1a.prometheus.MetricMetadataB\x04\xc8\xde\x1f\x00J\x04\x08\x02\x10\x03"\xae\x01\n\x0bReadRequest\x12"\n\x07queries\x18\x01 \x03(\x0b\x32\x11.prometheus.Query\x12\x45\n\x17\x61\x63\x63\x65pted_response_types\x18\x02 \x03(\x0e\x32$.prometheus.ReadRequest.ResponseType"4\n\x0cResponseType\x12\x0b\n\x07SAMPLES\x10\x00\x12\x17\n\x13STREAMED_XOR_CHUNKS\x10\x01"8\n\x0cReadResponse\x12(\n\x07results\x18\x01 \x03(\x0b\x32\x17.prometheus.QueryResult"\x8f\x01\n\x05Query\x12\x1a\n\x12start_timestamp_ms\x18\x01 \x01(\x03\x12\x18\n\x10\x65nd_timestamp_ms\x18\x02 \x01(\x03\x12*\n\x08matchers\x18\x03 \x03(\x0b\x32\x18.prometheus.LabelMatcher\x12$\n\x05hints\x18\x04 \x01(\x0b\x32\x15.prometheus.ReadHints"9\n\x0bQueryResult\x12*\n\ntimeseries\x18\x01 \x03(\x0b\x32\x16.prometheus.TimeSeries"]\n\x13\x43hunkedReadResponse\x12\x31\n\x0e\x63hunked_series\x18\x01 \x03(\x0b\x32\x19.prometheus.ChunkedSeries\x12\x13\n\x0bquery_index\x18\x02 \x01(\x03\x42\x08Z\x06prompbb\x06proto3'
)
_globals = globals()
_builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, _globals)
_builder.BuildTopDescriptorsAndMessages(DESCRIPTOR, 'opentelemetry.exporter.prometheus_remote_write.gen.remote_pb2', _globals)
if not _descriptor._USE_C_DESCRIPTORS:
_globals['DESCRIPTOR']._loaded_options = None
_globals['DESCRIPTOR']._serialized_options = b'Z\006prompb'
_globals['_WRITEREQUEST'].fields_by_name['timeseries']._loaded_options = None
_globals['_WRITEREQUEST'].fields_by_name['timeseries']._serialized_options = b'\310\336\037\000'
_globals['_WRITEREQUEST'].fields_by_name['metadata']._loaded_options = None
_globals['_WRITEREQUEST'].fields_by_name['metadata']._serialized_options = b'\310\336\037\000'
_globals['_WRITEREQUEST']._serialized_start=216
_globals['_WRITEREQUEST']._serialized_end=338
_globals['_READREQUEST']._serialized_start=341
_globals['_READREQUEST']._serialized_end=515
_globals['_READREQUEST_RESPONSETYPE']._serialized_start=463
_globals['_READREQUEST_RESPONSETYPE']._serialized_end=515
_globals['_READRESPONSE']._serialized_start=517
_globals['_READRESPONSE']._serialized_end=573
_globals['_QUERY']._serialized_start=576
_globals['_QUERY']._serialized_end=719
_globals['_QUERYRESULT']._serialized_start=721
_globals['_QUERYRESULT']._serialized_end=778
_globals['_CHUNKEDREADRESPONSE']._serialized_start=780
_globals['_CHUNKEDREADRESPONSE']._serialized_end=873
_builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, globals())
_builder.BuildTopDescriptorsAndMessages(
DESCRIPTOR,
"opentelemetry.exporter.prometheus_remote_write.gen.remote_pb2",
globals(),
)
if _descriptor._USE_C_DESCRIPTORS == False:
DESCRIPTOR._options = None
DESCRIPTOR._serialized_options = b"Z\006prompb"
_WRITEREQUEST.fields_by_name["timeseries"]._options = None
_WRITEREQUEST.fields_by_name["timeseries"]._serialized_options = (
b"\310\336\037\000"
)
_WRITEREQUEST.fields_by_name["metadata"]._options = None
_WRITEREQUEST.fields_by_name["metadata"]._serialized_options = (
b"\310\336\037\000"
)
_WRITEREQUEST._serialized_start = 216
_WRITEREQUEST._serialized_end = 338
_READREQUEST._serialized_start = 341
_READREQUEST._serialized_end = 515
_READREQUEST_RESPONSETYPE._serialized_start = 463
_READREQUEST_RESPONSETYPE._serialized_end = 515
_READRESPONSE._serialized_start = 517
_READRESPONSE._serialized_end = 573
_QUERY._serialized_start = 576
_QUERY._serialized_end = 719
_QUERYRESULT._serialized_start = 721
_QUERYRESULT._serialized_end = 778
_CHUNKEDREADRESPONSE._serialized_start = 780
_CHUNKEDREADRESPONSE._serialized_end = 873
# @@protoc_insertion_point(module_scope)

View File

@ -1,66 +1,85 @@
# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: opentelemetry/exporter/prometheus_remote_write/gen/types.proto
# Protobuf Python Version: 5.26.0
"""Generated protocol buffer code."""
from google.protobuf.internal import builder as _builder
from google.protobuf import descriptor as _descriptor
from google.protobuf import descriptor_pool as _descriptor_pool
from google.protobuf import symbol_database as _symbol_database
from google.protobuf.internal import builder as _builder
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
from opentelemetry.exporter.prometheus_remote_write.gen.gogoproto import gogo_pb2 as opentelemetry_dot_exporter_dot_prometheus__remote__write_dot_gen_dot_gogoproto_dot_gogo__pb2
from opentelemetry.exporter.prometheus_remote_write.gen.gogoproto import (
gogo_pb2 as opentelemetry_dot_exporter_dot_prometheus__remote__write_dot_gen_dot_gogoproto_dot_gogo__pb2,
)
DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n>opentelemetry/exporter/prometheus_remote_write/gen/types.proto\x12\nprometheus\x1aGopentelemetry/exporter/prometheus_remote_write/gen/gogoproto/gogo.proto\"\xf8\x01\n\x0eMetricMetadata\x12\x33\n\x04type\x18\x01 \x01(\x0e\x32%.prometheus.MetricMetadata.MetricType\x12\x1a\n\x12metric_family_name\x18\x02 \x01(\t\x12\x0c\n\x04help\x18\x04 \x01(\t\x12\x0c\n\x04unit\x18\x05 \x01(\t\"y\n\nMetricType\x12\x0b\n\x07UNKNOWN\x10\x00\x12\x0b\n\x07\x43OUNTER\x10\x01\x12\t\n\x05GAUGE\x10\x02\x12\r\n\tHISTOGRAM\x10\x03\x12\x12\n\x0eGAUGEHISTOGRAM\x10\x04\x12\x0b\n\x07SUMMARY\x10\x05\x12\x08\n\x04INFO\x10\x06\x12\x0c\n\x08STATESET\x10\x07\"*\n\x06Sample\x12\r\n\x05value\x18\x01 \x01(\x01\x12\x11\n\ttimestamp\x18\x02 \x01(\x03\"U\n\x08\x45xemplar\x12\'\n\x06labels\x18\x01 \x03(\x0b\x32\x11.prometheus.LabelB\x04\xc8\xde\x1f\x00\x12\r\n\x05value\x18\x02 \x01(\x01\x12\x11\n\ttimestamp\x18\x03 \x01(\x03\"\x8f\x01\n\nTimeSeries\x12\'\n\x06labels\x18\x01 \x03(\x0b\x32\x11.prometheus.LabelB\x04\xc8\xde\x1f\x00\x12)\n\x07samples\x18\x02 \x03(\x0b\x32\x12.prometheus.SampleB\x04\xc8\xde\x1f\x00\x12-\n\texemplars\x18\x03 \x03(\x0b\x32\x14.prometheus.ExemplarB\x04\xc8\xde\x1f\x00\"$\n\x05Label\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\r\n\x05value\x18\x02 \x01(\t\"1\n\x06Labels\x12\'\n\x06labels\x18\x01 \x03(\x0b\x32\x11.prometheus.LabelB\x04\xc8\xde\x1f\x00\"\x82\x01\n\x0cLabelMatcher\x12+\n\x04type\x18\x01 \x01(\x0e\x32\x1d.prometheus.LabelMatcher.Type\x12\x0c\n\x04name\x18\x02 \x01(\t\x12\r\n\x05value\x18\x03 \x01(\t\"(\n\x04Type\x12\x06\n\x02\x45Q\x10\x00\x12\x07\n\x03NEQ\x10\x01\x12\x06\n\x02RE\x10\x02\x12\x07\n\x03NRE\x10\x03\"|\n\tReadHints\x12\x0f\n\x07step_ms\x18\x01 \x01(\x03\x12\x0c\n\x04\x66unc\x18\x02 \x01(\t\x12\x10\n\x08start_ms\x18\x03 \x01(\x03\x12\x0e\n\x06\x65nd_ms\x18\x04 \x01(\x03\x12\x10\n\x08grouping\x18\x05 \x03(\t\x12\n\n\x02\x62y\x18\x06 \x01(\x08\x12\x10\n\x08range_ms\x18\x07 \x01(\x03\"\x8b\x01\n\x05\x43hunk\x12\x13\n\x0bmin_time_ms\x18\x01 \x01(\x03\x12\x13\n\x0bmax_time_ms\x18\x02 \x01(\x03\x12(\n\x04type\x18\x03 \x01(\x0e\x32\x1a.prometheus.Chunk.Encoding\x12\x0c\n\x04\x64\x61ta\x18\x04 \x01(\x0c\" \n\x08\x45ncoding\x12\x0b\n\x07UNKNOWN\x10\x00\x12\x07\n\x03XOR\x10\x01\"a\n\rChunkedSeries\x12\'\n\x06labels\x18\x01 \x03(\x0b\x32\x11.prometheus.LabelB\x04\xc8\xde\x1f\x00\x12\'\n\x06\x63hunks\x18\x02 \x03(\x0b\x32\x11.prometheus.ChunkB\x04\xc8\xde\x1f\x00\x42\x08Z\x06prompbb\x06proto3')
DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(
b'\n>opentelemetry/exporter/prometheus_remote_write/gen/types.proto\x12\nprometheus\x1aGopentelemetry/exporter/prometheus_remote_write/gen/gogoproto/gogo.proto"\xf8\x01\n\x0eMetricMetadata\x12\x33\n\x04type\x18\x01 \x01(\x0e\x32%.prometheus.MetricMetadata.MetricType\x12\x1a\n\x12metric_family_name\x18\x02 \x01(\t\x12\x0c\n\x04help\x18\x04 \x01(\t\x12\x0c\n\x04unit\x18\x05 \x01(\t"y\n\nMetricType\x12\x0b\n\x07UNKNOWN\x10\x00\x12\x0b\n\x07\x43OUNTER\x10\x01\x12\t\n\x05GAUGE\x10\x02\x12\r\n\tHISTOGRAM\x10\x03\x12\x12\n\x0eGAUGEHISTOGRAM\x10\x04\x12\x0b\n\x07SUMMARY\x10\x05\x12\x08\n\x04INFO\x10\x06\x12\x0c\n\x08STATESET\x10\x07"*\n\x06Sample\x12\r\n\x05value\x18\x01 \x01(\x01\x12\x11\n\ttimestamp\x18\x02 \x01(\x03"U\n\x08\x45xemplar\x12\'\n\x06labels\x18\x01 \x03(\x0b\x32\x11.prometheus.LabelB\x04\xc8\xde\x1f\x00\x12\r\n\x05value\x18\x02 \x01(\x01\x12\x11\n\ttimestamp\x18\x03 \x01(\x03"\x8f\x01\n\nTimeSeries\x12\'\n\x06labels\x18\x01 \x03(\x0b\x32\x11.prometheus.LabelB\x04\xc8\xde\x1f\x00\x12)\n\x07samples\x18\x02 \x03(\x0b\x32\x12.prometheus.SampleB\x04\xc8\xde\x1f\x00\x12-\n\texemplars\x18\x03 \x03(\x0b\x32\x14.prometheus.ExemplarB\x04\xc8\xde\x1f\x00"$\n\x05Label\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\r\n\x05value\x18\x02 \x01(\t"1\n\x06Labels\x12\'\n\x06labels\x18\x01 \x03(\x0b\x32\x11.prometheus.LabelB\x04\xc8\xde\x1f\x00"\x82\x01\n\x0cLabelMatcher\x12+\n\x04type\x18\x01 \x01(\x0e\x32\x1d.prometheus.LabelMatcher.Type\x12\x0c\n\x04name\x18\x02 \x01(\t\x12\r\n\x05value\x18\x03 \x01(\t"(\n\x04Type\x12\x06\n\x02\x45Q\x10\x00\x12\x07\n\x03NEQ\x10\x01\x12\x06\n\x02RE\x10\x02\x12\x07\n\x03NRE\x10\x03"|\n\tReadHints\x12\x0f\n\x07step_ms\x18\x01 \x01(\x03\x12\x0c\n\x04\x66unc\x18\x02 \x01(\t\x12\x10\n\x08start_ms\x18\x03 \x01(\x03\x12\x0e\n\x06\x65nd_ms\x18\x04 \x01(\x03\x12\x10\n\x08grouping\x18\x05 \x03(\t\x12\n\n\x02\x62y\x18\x06 \x01(\x08\x12\x10\n\x08range_ms\x18\x07 \x01(\x03"\x8b\x01\n\x05\x43hunk\x12\x13\n\x0bmin_time_ms\x18\x01 \x01(\x03\x12\x13\n\x0bmax_time_ms\x18\x02 \x01(\x03\x12(\n\x04type\x18\x03 \x01(\x0e\x32\x1a.prometheus.Chunk.Encoding\x12\x0c\n\x04\x64\x61ta\x18\x04 \x01(\x0c" \n\x08\x45ncoding\x12\x0b\n\x07UNKNOWN\x10\x00\x12\x07\n\x03XOR\x10\x01"a\n\rChunkedSeries\x12\'\n\x06labels\x18\x01 \x03(\x0b\x32\x11.prometheus.LabelB\x04\xc8\xde\x1f\x00\x12\'\n\x06\x63hunks\x18\x02 \x03(\x0b\x32\x11.prometheus.ChunkB\x04\xc8\xde\x1f\x00\x42\x08Z\x06prompbb\x06proto3'
)
_globals = globals()
_builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, _globals)
_builder.BuildTopDescriptorsAndMessages(DESCRIPTOR, 'opentelemetry.exporter.prometheus_remote_write.gen.types_pb2', _globals)
if not _descriptor._USE_C_DESCRIPTORS:
_globals['DESCRIPTOR']._loaded_options = None
_globals['DESCRIPTOR']._serialized_options = b'Z\006prompb'
_globals['_EXEMPLAR'].fields_by_name['labels']._loaded_options = None
_globals['_EXEMPLAR'].fields_by_name['labels']._serialized_options = b'\310\336\037\000'
_globals['_TIMESERIES'].fields_by_name['labels']._loaded_options = None
_globals['_TIMESERIES'].fields_by_name['labels']._serialized_options = b'\310\336\037\000'
_globals['_TIMESERIES'].fields_by_name['samples']._loaded_options = None
_globals['_TIMESERIES'].fields_by_name['samples']._serialized_options = b'\310\336\037\000'
_globals['_TIMESERIES'].fields_by_name['exemplars']._loaded_options = None
_globals['_TIMESERIES'].fields_by_name['exemplars']._serialized_options = b'\310\336\037\000'
_globals['_LABELS'].fields_by_name['labels']._loaded_options = None
_globals['_LABELS'].fields_by_name['labels']._serialized_options = b'\310\336\037\000'
_globals['_CHUNKEDSERIES'].fields_by_name['labels']._loaded_options = None
_globals['_CHUNKEDSERIES'].fields_by_name['labels']._serialized_options = b'\310\336\037\000'
_globals['_CHUNKEDSERIES'].fields_by_name['chunks']._loaded_options = None
_globals['_CHUNKEDSERIES'].fields_by_name['chunks']._serialized_options = b'\310\336\037\000'
_globals['_METRICMETADATA']._serialized_start=152
_globals['_METRICMETADATA']._serialized_end=400
_globals['_METRICMETADATA_METRICTYPE']._serialized_start=279
_globals['_METRICMETADATA_METRICTYPE']._serialized_end=400
_globals['_SAMPLE']._serialized_start=402
_globals['_SAMPLE']._serialized_end=444
_globals['_EXEMPLAR']._serialized_start=446
_globals['_EXEMPLAR']._serialized_end=531
_globals['_TIMESERIES']._serialized_start=534
_globals['_TIMESERIES']._serialized_end=677
_globals['_LABEL']._serialized_start=679
_globals['_LABEL']._serialized_end=715
_globals['_LABELS']._serialized_start=717
_globals['_LABELS']._serialized_end=766
_globals['_LABELMATCHER']._serialized_start=769
_globals['_LABELMATCHER']._serialized_end=899
_globals['_LABELMATCHER_TYPE']._serialized_start=859
_globals['_LABELMATCHER_TYPE']._serialized_end=899
_globals['_READHINTS']._serialized_start=901
_globals['_READHINTS']._serialized_end=1025
_globals['_CHUNK']._serialized_start=1028
_globals['_CHUNK']._serialized_end=1167
_globals['_CHUNK_ENCODING']._serialized_start=1135
_globals['_CHUNK_ENCODING']._serialized_end=1167
_globals['_CHUNKEDSERIES']._serialized_start=1169
_globals['_CHUNKEDSERIES']._serialized_end=1266
_builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, globals())
_builder.BuildTopDescriptorsAndMessages(
DESCRIPTOR,
"opentelemetry.exporter.prometheus_remote_write.gen.types_pb2",
globals(),
)
if _descriptor._USE_C_DESCRIPTORS == False:
DESCRIPTOR._options = None
DESCRIPTOR._serialized_options = b"Z\006prompb"
_EXEMPLAR.fields_by_name["labels"]._options = None
_EXEMPLAR.fields_by_name["labels"]._serialized_options = (
b"\310\336\037\000"
)
_TIMESERIES.fields_by_name["labels"]._options = None
_TIMESERIES.fields_by_name["labels"]._serialized_options = (
b"\310\336\037\000"
)
_TIMESERIES.fields_by_name["samples"]._options = None
_TIMESERIES.fields_by_name["samples"]._serialized_options = (
b"\310\336\037\000"
)
_TIMESERIES.fields_by_name["exemplars"]._options = None
_TIMESERIES.fields_by_name["exemplars"]._serialized_options = (
b"\310\336\037\000"
)
_LABELS.fields_by_name["labels"]._options = None
_LABELS.fields_by_name["labels"]._serialized_options = b"\310\336\037\000"
_CHUNKEDSERIES.fields_by_name["labels"]._options = None
_CHUNKEDSERIES.fields_by_name["labels"]._serialized_options = (
b"\310\336\037\000"
)
_CHUNKEDSERIES.fields_by_name["chunks"]._options = None
_CHUNKEDSERIES.fields_by_name["chunks"]._serialized_options = (
b"\310\336\037\000"
)
_METRICMETADATA._serialized_start = 152
_METRICMETADATA._serialized_end = 400
_METRICMETADATA_METRICTYPE._serialized_start = 279
_METRICMETADATA_METRICTYPE._serialized_end = 400
_SAMPLE._serialized_start = 402
_SAMPLE._serialized_end = 444
_EXEMPLAR._serialized_start = 446
_EXEMPLAR._serialized_end = 531
_TIMESERIES._serialized_start = 534
_TIMESERIES._serialized_end = 677
_LABEL._serialized_start = 679
_LABEL._serialized_end = 715
_LABELS._serialized_start = 717
_LABELS._serialized_end = 766
_LABELMATCHER._serialized_start = 769
_LABELMATCHER._serialized_end = 899
_LABELMATCHER_TYPE._serialized_start = 859
_LABELMATCHER_TYPE._serialized_end = 899
_READHINTS._serialized_start = 901
_READHINTS._serialized_end = 1025
_CHUNK._serialized_start = 1028
_CHUNK._serialized_end = 1167
_CHUNK_ENCODING._serialized_start = 1135
_CHUNK_ENCODING._serialized_end = 1167
_CHUNKEDSERIES._serialized_start = 1169
_CHUNKEDSERIES._serialized_end = 1266
# @@protoc_insertion_point(module_scope)

View File

@ -12,4 +12,4 @@
# See the License for the specific language governing permissions and
# limitations under the License.
__version__ = "0.57b0.dev"
__version__ = "0.49b2"

View File

@ -1,13 +1,15 @@
asgiref==3.8.1
certifi==2024.7.4
charset-normalizer==3.3.2
cramjam==2.8.4
# We can drop this after bumping baseline to pypy-39
cramjam==2.1.0; platform_python_implementation == "PyPy"
cramjam==2.8.1; platform_python_implementation != "PyPy"
Deprecated==1.2.14
idna==3.7
iniconfig==2.0.0
packaging==24.0
pluggy==1.5.0
protobuf==5.26
protobuf==4.25.3
py-cpuinfo==9.0.0
pytest==7.4.4
python-snappy==0.7.1

View File

@ -8,7 +8,7 @@ dynamic = ["version"]
description = "Rich Console Exporter for OpenTelemetry"
readme = "README.rst"
license = "Apache-2.0"
requires-python = ">=3.9"
requires-python = ">=3.8"
authors = [
{ name = "OpenTelemetry Authors", email = "cncf-opentelemetry-contributors@lists.cncf.io" },
]
@ -18,22 +18,21 @@ classifiers = [
"License :: OSI Approved :: Apache Software License",
"Programming Language :: Python",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
]
dependencies = [
"opentelemetry-api ~= 1.12",
"opentelemetry-sdk ~= 1.12",
"opentelemetry-semantic-conventions == 0.57b0.dev",
"opentelemetry-semantic-conventions == 0.49b2",
"rich>=10.0.0",
]
[project.urls]
Homepage = "https://github.com/open-telemetry/opentelemetry-python-contrib/tree/main/exporter/opentelemetry-exporter-richconsole"
Repository = "https://github.com/open-telemetry/opentelemetry-python-contrib"
[tool.hatch.version]
path = "src/opentelemetry/exporter/richconsole/version.py"

View File

@ -64,15 +64,11 @@ from rich.tree import Tree
import opentelemetry.trace
from opentelemetry.sdk.trace import ReadableSpan
from opentelemetry.sdk.trace.export import SpanExporter, SpanExportResult
from opentelemetry.semconv._incubating.attributes.db_attributes import (
DB_STATEMENT,
)
from opentelemetry.semconv.trace import SpanAttributes
def _ns_to_time(nanoseconds):
ts = datetime.datetime.fromtimestamp(
nanoseconds / 1e9, datetime.timezone.utc
)
ts = datetime.datetime.utcfromtimestamp(nanoseconds / 1e9)
return ts.strftime("%H:%M:%S.%f")
@ -122,7 +118,7 @@ def _child_add_optional_attributes(child: Tree, span: ReadableSpan):
label=Text.from_markup("[bold cyan]Attributes :[/bold cyan] ")
)
for attribute in span.attributes:
if attribute == DB_STATEMENT:
if attribute == SpanAttributes.DB_STATEMENT:
attributes.add(
Text.from_markup(f"[bold cyan]{attribute} :[/bold cyan] ")
)

View File

@ -12,4 +12,4 @@
# See the License for the specific language governing permissions and
# limitations under the License.
__version__ = "0.57b0.dev"
__version__ = "0.49b2"

View File

@ -1,6 +1,6 @@
-c dev-requirements.txt
astor==0.8.1
jinja2==3.1.6
jinja2==3.1.4
markupsafe==2.0.1
ruff==0.6.9
requests

View File

@ -1,6 +0,0 @@
| Instrumentation | Supported Packages | Metrics support | Semconv status |
| --------------- | ------------------ | --------------- | -------------- |
| [opentelemetry-instrumentation-google-genai](./opentelemetry-instrumentation-google-genai) | google-genai >= 1.0.0 | No | development
| [opentelemetry-instrumentation-openai-v2](./opentelemetry-instrumentation-openai-v2) | openai >= 1.26.0 | Yes | development
| [opentelemetry-instrumentation-vertexai](./opentelemetry-instrumentation-vertexai) | google-cloud-aiplatform >= 1.64 | No | development

View File

@ -1,4 +0,0 @@
.build
.test
dist

View File

@ -1,28 +0,0 @@
# Changelog
All notable changes to this project will be documented in this file.
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
## Unreleased
## Version 0.3b0 (2025-07-08)
- Add automatic instrumentation to tool call functions ([#3446](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3446))
## Version 0.2b0 (2025-04-28)
- Add more request configuration options to the span attributes ([#3374](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3374))
- Restructure tests to keep in line with repository conventions ([#3344](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3344))
- Fix [bug](https://github.com/open-telemetry/opentelemetry-python-contrib/issues/3416) where
span attribute `gen_ai.response.finish_reasons` is empty ([#3417](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3417))
## Version 0.1b0 (2025-03-05)
- Add support for async and streaming.
([#3298](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3298))
Create an initial version of Open Telemetry instrumentation for github.com/googleapis/python-genai.
([#3256](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3256))

View File

@ -1,203 +0,0 @@
Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
1. Definitions.
"License" shall mean the terms and conditions for use, reproduction,
and distribution as defined by Sections 1 through 9 of this document.
"Licensor" shall mean the copyright owner or entity authorized by
the copyright owner that is granting the License.
"Legal Entity" shall mean the union of the acting entity and all
other entities that control, are controlled by, or are under common
control with that entity. For the purposes of this definition,
"control" means (i) the power, direct or indirect, to cause the
direction or management of such entity, whether by contract or
otherwise, or (ii) ownership of fifty percent (50%) or more of the
outstanding shares, or (iii) beneficial ownership of such entity.
"You" (or "Your") shall mean an individual or Legal Entity
exercising permissions granted by this License.
"Source" form shall mean the preferred form for making modifications,
including but not limited to software source code, documentation
source, and configuration files.
"Object" form shall mean any form resulting from mechanical
transformation or translation of a Source form, including but
not limited to compiled object code, generated documentation,
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@ -1,92 +0,0 @@
OpenTelemetry Google GenAI SDK Instrumentation
==============================================
|pypi|
.. |pypi| image:: https://badge.fury.io/py/opentelemetry-instrumentation-google-genai.svg
:target: https://pypi.org/project/opentelemetry-instrumentation-google-genai/
This library adds instrumentation to the `Google GenAI SDK library <https://pypi.org/project/google-genai/>`_
to emit telemetry data following `Semantic Conventions for GenAI systems <https://opentelemetry.io/docs/specs/semconv/gen-ai/>`_.
It adds trace spans for GenAI operations, events/logs for recording prompts/responses, and emits metrics that describe the
GenAI operations in aggregate.
Experimental
------------
This package is still experimental. The instrumentation may not be complete or correct just yet.
Please see "TODOS.md" for a list of known defects/TODOs that are blockers to package stability.
Installation
------------
If your application is already instrumented with OpenTelemetry, add this
package to your requirements.
::
pip install opentelemetry-instrumentation-google-genai
If you don't have a Google GenAI SDK application, yet, try our `examples <examples>`_.
Check out `zero-code example <examples/zero-code>`_ for a quick start.
Usage
-----
This section describes how to set up Google GenAI SDK instrumentation if you're setting OpenTelemetry up manually.
Check out the `manual example <examples/manual>`_ for more details.
Instrumenting all clients
*************************
When using the instrumentor, all clients will automatically trace GenAI `generate_content` operations.
You can also optionally capture prompts and responses as log events.
Make sure to configure OpenTelemetry tracing, logging, metrics, and events to capture all telemetry emitted by the instrumentation.
.. code-block:: python
from opentelemetry.instrumentation.google_genai import GoogleGenAiSdkInstrumentor
from google.genai import Client
GoogleGenAiSdkInstrumentor().instrument()
client = Client()
response = client.models.generate_content(
model="gemini-1.5-flash-002",
contents="Write a short poem on OpenTelemetry.")
Enabling message content
*************************
Message content such as the contents of the prompt and response
are not captured by default. To capture message content as log events, set the environment variable
`OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT` to `true`.
Uninstrument
************
To uninstrument clients, call the uninstrument method:
.. code-block:: python
from opentelemetry.instrumentation.google_genai import GoogleGenAiSdkInstrumentor
GoogleGenAiSdkInstrumentor().instrument()
# ...
# Uninstrument all clients
GoogleGenAiSdkInstrumentor().uninstrument()
References
----------
* `Google Gen AI SDK Documentation <https://ai.google.dev/gemini-api/docs/sdks>`_
* `Google Gen AI SDK on GitHub <https://github.com/googleapis/python-genai>`_
* `Using Vertex AI with Google Gen AI SDK <https://cloud.google.com/vertex-ai/generative-ai/docs/sdks/overview>`_
* `OpenTelemetry Project <https://opentelemetry.io/>`_
* `OpenTelemetry Python Examples <https://github.com/open-telemetry/opentelemetry-python/tree/main/docs/examples>`_

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@ -1,19 +0,0 @@
# TODOs
## Fundamentals
Here are some TODO items required to achieve stability for this package:
- Add more span-level attributes for response information
- Verify and correct formatting of events:
- Including the 'role' field for message events
- Including tool invocation information
- Emit events for safety ratings when they block responses
- Additional cleanup/improvement tasks such as:
- Adoption of 'wrapt' instead of 'functools.wraps'
- Bolstering test coverage
## Future
Beyond the above TODOs, it would also be desirable to extend the
instrumentation beyond `generate_content` to other API surfaces.

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# 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.
# Uncomment and change to your OTLP endpoint
# OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4317
# OTEL_EXPORTER_OTLP_PROTOCOL=grpc
# Uncomment to change parameters used to configure 'google.genai'
# GOOGLE_GENAI_USE_VERTEXAI=1
# GOOGLE_API_KEY=<your api key>
# GOOGLE_CLOUD_PROJECT=<your cloud project>
# GOOGLE_CLOUD_LOCATION=<your cloud location>
OTEL_SERVICE_NAME=opentelemetry-python-google-genai
# Change to 'false' to hide prompt and completion content
OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT=true

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OpenTelemetry Google GenAI SDK Manual Instrumentation Example
============================================
This is an example of how to instrument Google GenAI SDK calls when configuring
OpenTelemetry SDK and Instrumentations manually.
When `main.py <main.py>`_ is run, it exports traces, logs, and metrics to an OTLP
compatible endpoint. Traces include details such as the model used and the
duration of the chat request. Logs capture the chat request and the generated
response, providing a comprehensive view of the performance and behavior of
your GenAI SDK requests. Metrics include aggregate statistics such as the aggregate
token usage as well as the latency distribution of the GenAI operations.
Note: `.env <.env>`_ file configures additional environment variables:
- `OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT=true`
... configures Google GenAI SDK instrumentation to capture prompt/response content.
Setup
-----
An OTLP compatible endpoint should be listening for traces, logs, and metrics on
http://localhost:4317. If not, update "OTEL_EXPORTER_OTLP_ENDPOINT" as well.
Next, set up a virtual environment like this:
::
python3 -m venv .venv
source .venv/bin/activate
pip install "python-dotenv[cli]"
pip install -r requirements.txt
Run
---
Run the example like this:
::
export PROMPT="Your prompt here"
dotenv run -- python main.py

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# 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.
# We skip linting this file with pylint, because the linter is not
# configured with the "requirements.txt" dependencies and therefore
# will give multiple "no-name-in-module" errors for the imports.
#
# pylint: skip-file
import os
import google.genai
# NOTE: OpenTelemetry Python Logs and Events APIs are in beta
from opentelemetry import _events as otel_events
from opentelemetry import _logs as otel_logs
from opentelemetry import metrics as otel_metrics
from opentelemetry import trace as otel_trace
from opentelemetry.exporter.otlp.proto.grpc._log_exporter import (
OTLPLogExporter,
)
from opentelemetry.exporter.otlp.proto.grpc.metric_exporter import (
OTLPMetricExporter,
)
from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import (
OTLPSpanExporter,
)
from opentelemetry.instrumentation.google_genai import (
GoogleGenAiSdkInstrumentor,
)
from opentelemetry.instrumentation.requests import RequestsInstrumentor
from opentelemetry.sdk._events import EventLoggerProvider
from opentelemetry.sdk._logs import LoggerProvider
from opentelemetry.sdk._logs.export import BatchLogRecordProcessor
from opentelemetry.sdk.metrics import MeterProvider
from opentelemetry.sdk.metrics.export import PeriodicExportingMetricReader
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import BatchSpanProcessor
def setup_otel_tracing():
otel_trace.set_tracer_provider(TracerProvider())
otel_trace.get_tracer_provider().add_span_processor(
BatchSpanProcessor(OTLPSpanExporter())
)
def setup_otel_logs_and_events():
otel_logs.set_logger_provider(LoggerProvider())
otel_logs.get_logger_provider().add_log_record_processor(
BatchLogRecordProcessor(OTLPLogExporter())
)
otel_events.set_event_logger_provider(EventLoggerProvider())
def setup_otel_metrics():
meter_provider = MeterProvider(
metric_readers=[
PeriodicExportingMetricReader(
OTLPMetricExporter(),
),
]
)
otel_metrics.set_meter_provider(meter_provider)
def setup_opentelemetry():
setup_otel_tracing()
setup_otel_logs_and_events()
setup_otel_metrics()
def instrument_google_genai():
GoogleGenAiSdkInstrumentor().instrument()
RequestsInstrumentor().instrument()
def main():
setup_opentelemetry()
instrument_google_genai()
client = google.genai.Client()
response = client.models.generate_content(
model=os.getenv("MODEL", "gemini-2.0-flash-001"),
contents=os.getenv("PROMPT", "Why is the sky blue?"),
)
print(response.text)
if __name__ == "__main__":
main()

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@ -1,20 +0,0 @@
# 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.
google-genai ~= 1.0.0
opentelemetry-api ~= 1.30.0
opentelemetry-sdk ~= 1.30.0
opentelemetry-exporter-otlp-proto-grpc ~= 1.30.0
opentelemetry-instrumentation-requests ~= 0.51b0
opentelemetry-instrumentation-google-genai ~= 0.0.1.dev

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@ -1,30 +0,0 @@
# 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.
# Update to change exporter configuration as desired.
# See: https://opentelemetry.io/docs/zero-code/python/configuration/
OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4317
OTEL_EXPORTER_OTLP_PROTOCOL=grpc
# Uncomment to change parameters used to configure 'google.genai'
# GOOGLE_GENAI_USE_VERTEXAI=1
# GOOGLE_API_KEY=<your api key>
# GOOGLE_CLOUD_PROJECT=<your cloud project>
# GOOGLE_CLOUD_LOCATION=<your cloud location>
OTEL_SERVICE_NAME=opentelemetry-python-google-genai
# Change to 'false' to hide prompt and completion content
OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT=true

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@ -1,46 +0,0 @@
OpenTelemetry Google GenAI SDK Manual Instrumentation Example
============================================
This is an example of how to instrument Google GenAI SDK calls with zero code changes,
using `opentelemetryh-instrument`.
When `main.py <main.py>`_ is run, it exports traces, logs, and metrics to an OTLP
compatible endpoint. Traces include details such as the model used and the
duration of the chat request. Logs capture the chat request and the generated
response, providing a comprehensive view of the performance and behavior of
your GenAI SDK requests. Metrics include aggregate statistics such as the aggregate
token usage as well as the latency distribution of the GenAI operations.
Note: `.env <.env>`_ file configures additional environment variables:
- `OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT=true`
... configures Google GenAI SDK instrumentation to capture prompt/response content.
Setup
-----
An OTLP compatible endpoint should be listening for traces, logs, and metrics on
http://localhost:4317. If not, update "OTEL_EXPORTER_OTLP_ENDPOINT" as well.
Next, set up a virtual environment like this:
::
python3 -m venv .venv
source .venv/bin/activate
pip install "python-dotenv[cli]"
pip install -r requirements.txt
opentelemetry-bootstrap -a install
Run
---
Run the example like this:
::
export PROMPT="Your prompt here"
dotenv run -- opentelemetry-instrument python main.py

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@ -1,30 +0,0 @@
# 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.
import os
import google.genai
def main():
client = google.genai.Client()
response = client.models.generate_content(
model=os.getenv("MODEL", "gemini-2.0-flash-001"),
contents=os.getenv("PROMPT", "Why is the sky blue?"),
)
print(response.text)
if __name__ == "__main__":
main()

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@ -1,23 +0,0 @@
# 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.
google-genai ~= 1.0.0
opentelemetry-api ~= 1.30.0
opentelemetry-sdk ~= 1.30.0
opentelemetry-exporter-otlp-proto-grpc ~= 1.30.0
opentelemetry-instrumentation ~= 0.51b0
opentelemetry-instrumentation-requests ~= 0.51b0
opentelemetry-instrumentation-google-genai ~= 0.0.1.dev
opentelemetry-contrib-instrumentations ~= 0.51b0
opentelemetry-distro[otlp] ~= 0.51b0

View File

@ -1,79 +0,0 @@
# 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.
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[project]
name = "opentelemetry-instrumentation-google-genai"
dynamic = ["version"]
description = "OpenTelemetry"
readme = "README.rst"
license = "Apache-2.0"
requires-python = ">=3.9"
authors = [
{ name = "OpenTelemetry Authors", email = "cncf-opentelemetry-contributors@lists.cncf.io" },
]
classifiers = [
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"License :: OSI Approved :: Apache Software License",
"Programming Language :: Python",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12"
]
dependencies = [
"opentelemetry-api >=1.31.1, <2",
"opentelemetry-instrumentation >=0.52b1, <2",
"opentelemetry-semantic-conventions >=0.52b1, <2"
]
[project.optional-dependencies]
instruments = [
"google-genai >= 1.0.0"
]
[project.entry-points.opentelemetry_instrumentor]
google-genai = "opentelemetry.instrumentation.google_genai:GoogleGenAiSdkInstrumentor"
[project.urls]
Homepage = "https://github.com/open-telemetry/opentelemetry-python-contrib/tree/main/instrumentation-genai/opentelemetry-instrumentation-google-genai"
Repository = "https://github.com/open-telemetry/opentelemetry-python-contrib"
[tool.hatch.version]
path = "src/opentelemetry/instrumentation/google_genai/version.py"
[tool.hatch.build.targets.sdist]
include = [
"/src",
"/tests",
]
[tool.hatch.build.targets.wheel]
packages = ["src/opentelemetry"]
[tool.pyright]
include = [
"src",
]
exclude = [
"**/__pycache__",
]
stubPath = "types"
reportMissingImports = "error"
reportMissingTypeStubs = false
pythonVersion = "3.9"

View File

@ -1,47 +0,0 @@
# 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.
"""
Google Gen AI SDK client instrumentation supporting the `google-genai` package.
It can be enabled using ``GoogleGenAiSdkInstrumentor``.
.. _google-genai: https://pypi.org/project/google-genai/
Usage
-----
.. code:: python
import os
import google.genai
from opentelemetry.instrumentation.google_genai import GoogleGenAiSdkInstrumentor
GoogleGenAiSdkInstrumentor().instrument()
model = os.getenv('MODEL', 'gemini-2.0-flash-001')
client = google.genai.Client()
response = client.models.generate_content(
model=model,
contents='why is the sky blue?'
)
print(response.text)
API
---
"""
from .instrumentor import GoogleGenAiSdkInstrumentor
from .version import __version__
__all__ = ["GoogleGenAiSdkInstrumentor", "__version__"]

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@ -1,97 +0,0 @@
# 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.
import os
import re
from typing import Iterable, Optional, Set
ALLOWED = True
DENIED = False
def _parse_env_list(s: str) -> Set[str]:
result = set()
for entry in s.split(","):
stripped_entry = entry.strip()
if not stripped_entry:
continue
result.add(stripped_entry)
return result
class _CompoundMatcher:
def __init__(self, entries: Set[str]):
self._match_all = "*" in entries
self._entries = entries
self._regex_matcher = None
regex_entries = []
for entry in entries:
if "*" not in entry:
continue
if entry == "*":
continue
entry = entry.replace("[", "\\[")
entry = entry.replace("]", "\\]")
entry = entry.replace(".", "\\.")
entry = entry.replace("*", ".*")
regex_entries.append(f"({entry})")
if regex_entries:
joined_regex = "|".join(regex_entries)
regex_str = f"^({joined_regex})$"
self._regex_matcher = re.compile(regex_str)
@property
def match_all(self):
return self._match_all
def matches(self, x):
if self._match_all:
return True
if x in self._entries:
return True
if (self._regex_matcher is not None) and (
self._regex_matcher.fullmatch(x)
):
return True
return False
class AllowList:
def __init__(
self,
includes: Optional[Iterable[str]] = None,
excludes: Optional[Iterable[str]] = None,
):
self._includes = _CompoundMatcher(set(includes or []))
self._excludes = _CompoundMatcher(set(excludes or []))
assert (not self._includes.match_all) or (
not self._excludes.match_all
), "Can't have '*' in both includes and excludes."
def allowed(self, x: str):
if self._excludes.match_all:
return self._includes.matches(x)
if self._includes.match_all:
return not self._excludes.matches(x)
return self._includes.matches(x) and not self._excludes.matches(x)
@staticmethod
def from_env(
includes_env_var: str, excludes_env_var: Optional[str] = None
):
includes = _parse_env_list(os.getenv(includes_env_var) or "")
excludes = set()
if excludes_env_var:
excludes = _parse_env_list(os.getenv(excludes_env_var) or "")
return AllowList(includes=includes, excludes=excludes)

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@ -1,18 +0,0 @@
# 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.
# Semantic Convention still being defined in:
# https://github.com/open-telemetry/semantic-conventions/pull/2125
GCP_GENAI_OPERATION_CONFIG = "gcp.gen_ai.operation.config"

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@ -1,301 +0,0 @@
# 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.
import json
import logging
from typing import (
Any,
Dict,
Optional,
Protocol,
Sequence,
Set,
Tuple,
Union,
)
Primitive = Union[bool, str, int, float]
BoolList = list[bool]
StringList = list[str]
IntList = list[int]
FloatList = list[float]
HomogenousPrimitiveList = Union[BoolList, StringList, IntList, FloatList]
FlattenedValue = Union[Primitive, HomogenousPrimitiveList]
FlattenedDict = Dict[str, FlattenedValue]
class FlattenFunc(Protocol):
def __call__(
self,
key: str,
value: Any,
exclude_keys: Set[str],
rename_keys: Dict[str, str],
flatten_functions: Dict[str, "FlattenFunc"],
**kwargs: Any,
) -> Any:
return None
_logger = logging.getLogger(__name__)
def _concat_key(prefix: Optional[str], suffix: str):
if not prefix:
return suffix
return f"{prefix}.{suffix}"
def _is_primitive(v):
for t in [str, bool, int, float]:
if isinstance(v, t):
return True
return False
def _is_homogenous_primitive_list(v):
if not isinstance(v, list):
return False
if len(v) == 0:
return True
if not _is_primitive(v[0]):
return False
first_entry_value_type = type(v[0])
for entry in v[1:]:
if not isinstance(entry, first_entry_value_type):
return False
return True
def _get_flatten_func(
flatten_functions: Dict[str, FlattenFunc], key_names: set[str]
) -> Optional[FlattenFunc]:
for key in key_names:
flatten_func = flatten_functions.get(key)
if flatten_func is not None:
return flatten_func
return None
def _flatten_with_flatten_func(
key: str,
value: Any,
exclude_keys: Set[str],
rename_keys: Dict[str, str],
flatten_functions: Dict[str, FlattenFunc],
key_names: Set[str],
) -> Tuple[bool, Any]:
flatten_func = _get_flatten_func(flatten_functions, key_names)
if flatten_func is None:
return False, value
func_output = flatten_func(
key,
value,
exclude_keys=exclude_keys,
rename_keys=rename_keys,
flatten_functions=flatten_functions,
)
if func_output is None:
return True, {}
if _is_primitive(func_output) or _is_homogenous_primitive_list(
func_output
):
return True, {key: func_output}
return False, func_output
def _flatten_compound_value_using_json(
key: str,
value: Any,
exclude_keys: Set[str],
rename_keys: Dict[str, str],
flatten_functions: Dict[str, FlattenFunc],
_from_json=False,
) -> FlattenedDict:
if _from_json:
_logger.debug(
"Cannot flatten value with key %s; value: %s", key, value
)
return {}
try:
json_string = json.dumps(value)
except TypeError:
_logger.debug(
"Cannot flatten value with key %s; value: %s. Not JSON serializable.",
key,
value,
)
return {}
json_value = json.loads(json_string)
return _flatten_value(
key,
json_value,
exclude_keys=exclude_keys,
rename_keys=rename_keys,
flatten_functions=flatten_functions,
# Ensure that we don't recurse indefinitely if "json.loads()" somehow returns
# a complex, compound object that does not get handled by the "primitive", "list",
# or "dict" cases. Prevents falling back on the JSON serialization fallback path.
_from_json=True,
)
def _flatten_compound_value(
key: str,
value: Any,
exclude_keys: Set[str],
rename_keys: Dict[str, str],
flatten_functions: Dict[str, FlattenFunc],
key_names: Set[str],
_from_json=False,
) -> FlattenedDict:
fully_flattened_with_flatten_func, value = _flatten_with_flatten_func(
key=key,
value=value,
exclude_keys=exclude_keys,
rename_keys=rename_keys,
flatten_functions=flatten_functions,
key_names=key_names,
)
if fully_flattened_with_flatten_func:
return value
if isinstance(value, dict):
return _flatten_dict(
value,
key_prefix=key,
exclude_keys=exclude_keys,
rename_keys=rename_keys,
flatten_functions=flatten_functions,
)
if isinstance(value, list):
if _is_homogenous_primitive_list(value):
return {key: value}
return _flatten_list(
value,
key_prefix=key,
exclude_keys=exclude_keys,
rename_keys=rename_keys,
flatten_functions=flatten_functions,
)
if hasattr(value, "model_dump"):
return _flatten_dict(
value.model_dump(),
key_prefix=key,
exclude_keys=exclude_keys,
rename_keys=rename_keys,
flatten_functions=flatten_functions,
)
return _flatten_compound_value_using_json(
key,
value,
exclude_keys=exclude_keys,
rename_keys=rename_keys,
flatten_functions=flatten_functions,
_from_json=_from_json,
)
def _flatten_value(
key: str,
value: Any,
exclude_keys: Set[str],
rename_keys: Dict[str, str],
flatten_functions: Dict[str, FlattenFunc],
_from_json=False,
) -> FlattenedDict:
if value is None:
return {}
key_names = set([key])
renamed_key = rename_keys.get(key)
if renamed_key is not None:
key_names.add(renamed_key)
key = renamed_key
if key_names & exclude_keys:
return {}
if _is_primitive(value):
return {key: value}
return _flatten_compound_value(
key=key,
value=value,
exclude_keys=exclude_keys,
rename_keys=rename_keys,
flatten_functions=flatten_functions,
key_names=key_names,
_from_json=_from_json,
)
def _flatten_dict(
d: Dict[str, Any],
key_prefix: str,
exclude_keys: Set[str],
rename_keys: Dict[str, str],
flatten_functions: Dict[str, FlattenFunc],
) -> FlattenedDict:
result = {}
for key, value in d.items():
if key in exclude_keys:
continue
full_key = _concat_key(key_prefix, key)
flattened = _flatten_value(
full_key,
value,
exclude_keys=exclude_keys,
rename_keys=rename_keys,
flatten_functions=flatten_functions,
)
result.update(flattened)
return result
def _flatten_list(
lst: list[Any],
key_prefix: str,
exclude_keys: Set[str],
rename_keys: Dict[str, str],
flatten_functions: Dict[str, FlattenFunc],
) -> FlattenedDict:
result = {}
result[_concat_key(key_prefix, "length")] = len(lst)
for index, value in enumerate(lst):
full_key = f"{key_prefix}[{index}]"
flattened = _flatten_value(
full_key,
value,
exclude_keys=exclude_keys,
rename_keys=rename_keys,
flatten_functions=flatten_functions,
)
result.update(flattened)
return result
def flatten_dict(
d: Dict[str, Any],
key_prefix: Optional[str] = None,
exclude_keys: Optional[Sequence[str]] = None,
rename_keys: Optional[Dict[str, str]] = None,
flatten_functions: Optional[Dict[str, FlattenFunc]] = None,
):
key_prefix = key_prefix or ""
exclude_keys = set(exclude_keys or [])
rename_keys = rename_keys or {}
flatten_functions = flatten_functions or {}
return _flatten_dict(
d,
key_prefix=key_prefix,
exclude_keys=exclude_keys,
rename_keys=rename_keys,
flatten_functions=flatten_functions,
)

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@ -1,23 +0,0 @@
# 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.
import os
_CONTENT_RECORDING_ENV_VAR = (
"OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT"
)
def is_content_recording_enabled():
return os.getenv(_CONTENT_RECORDING_ENV_VAR, "false").lower() == "true"

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@ -1,790 +0,0 @@
# 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.
import copy
import functools
import json
import logging
import os
import time
from typing import Any, AsyncIterator, Awaitable, Iterator, Optional, Union
from google.genai.models import AsyncModels, Models
from google.genai.types import (
BlockedReason,
Candidate,
Content,
ContentListUnion,
ContentListUnionDict,
ContentUnion,
ContentUnionDict,
GenerateContentConfig,
GenerateContentConfigOrDict,
GenerateContentResponse,
)
from opentelemetry import trace
from opentelemetry.semconv._incubating.attributes import (
code_attributes,
gen_ai_attributes,
)
from opentelemetry.semconv.attributes import error_attributes
from .allowlist_util import AllowList
from .custom_semconv import GCP_GENAI_OPERATION_CONFIG
from .dict_util import flatten_dict
from .flags import is_content_recording_enabled
from .otel_wrapper import OTelWrapper
from .tool_call_wrapper import wrapped as wrapped_tool
_logger = logging.getLogger(__name__)
# Constant used to make the absence of content more understandable.
_CONTENT_ELIDED = "<elided>"
# Constant used for the value of 'gen_ai.operation.name".
_GENERATE_CONTENT_OP_NAME = "generate_content"
class _MethodsSnapshot:
def __init__(self):
self._original_generate_content = Models.generate_content
self._original_generate_content_stream = Models.generate_content_stream
self._original_async_generate_content = AsyncModels.generate_content
self._original_async_generate_content_stream = (
AsyncModels.generate_content_stream
)
@property
def generate_content(self):
return self._original_generate_content
@property
def generate_content_stream(self):
return self._original_generate_content_stream
@property
def async_generate_content(self):
return self._original_async_generate_content
@property
def async_generate_content_stream(self):
return self._original_async_generate_content_stream
def restore(self):
Models.generate_content = self._original_generate_content
Models.generate_content_stream = self._original_generate_content_stream
AsyncModels.generate_content = self._original_async_generate_content
AsyncModels.generate_content_stream = (
self._original_async_generate_content_stream
)
def _get_vertexai_system_name():
return gen_ai_attributes.GenAiSystemValues.VERTEX_AI.name.lower()
def _get_gemini_system_name():
return gen_ai_attributes.GenAiSystemValues.GEMINI.name.lower()
def _guess_genai_system_from_env():
if os.environ.get("GOOGLE_GENAI_USE_VERTEXAI", "0").lower() in [
"true",
"1",
]:
return _get_vertexai_system_name()
return _get_gemini_system_name()
def _get_is_vertexai(models_object: Union[Models, AsyncModels]):
# Since commit 8e561de04965bb8766db87ad8eea7c57c1040442 of "googleapis/python-genai",
# it is possible to obtain the information using a documented property.
if hasattr(models_object, "vertexai"):
vertexai_attr = getattr(models_object, "vertexai")
if vertexai_attr is not None:
return vertexai_attr
# For earlier revisions, it is necessary to deeply inspect the internals.
if hasattr(models_object, "_api_client"):
client = getattr(models_object, "_api_client")
if not client:
return None
if hasattr(client, "vertexai"):
return getattr(client, "vertexai")
return None
def _determine_genai_system(models_object: Union[Models, AsyncModels]):
vertexai_attr = _get_is_vertexai(models_object)
if vertexai_attr is None:
return _guess_genai_system_from_env()
if vertexai_attr:
return _get_vertexai_system_name()
return _get_gemini_system_name()
def _to_dict(value: object):
if isinstance(value, dict):
return value
if hasattr(value, "model_dump"):
return value.model_dump()
return json.loads(json.dumps(value))
def _add_request_options_to_span(
span, config: Optional[GenerateContentConfigOrDict], allow_list: AllowList
):
if config is None:
return
span_context = span.get_span_context()
if not span_context.trace_flags.sampled:
# Avoid potentially costly traversal of config
# options if the span will be dropped, anyway.
return
# Automatically derive attributes from the contents of the
# config object. This ensures that all relevant parameters
# are captured in the telemetry data (except for those
# that are excluded via "exclude_keys"). Dynamic attributes (those
# starting with "gcp.gen_ai." instead of simply "gen_ai.request.")
# are filtered with the "allow_list" before inclusion in the span.
attributes = flatten_dict(
_to_dict(config),
# A custom prefix is used, because the names/structure of the
# configuration is likely to be specific to Google Gen AI SDK.
key_prefix=GCP_GENAI_OPERATION_CONFIG,
exclude_keys=[
# System instruction can be overly long for a span attribute.
# Additionally, it is recorded as an event (log), instead.
"gcp.gen_ai.operation.config.system_instruction",
],
# Although a custom prefix is used by default, some of the attributes
# are captured in common, standard, Semantic Conventions. For the
# well-known properties whose values align with Semantic Conventions,
# we ensure that the key name matches the standard SemConv name.
rename_keys={
# TODO: add more entries here as more semantic conventions are
# generalized to cover more of the available config options.
"gcp.gen_ai.operation.config.temperature": gen_ai_attributes.GEN_AI_REQUEST_TEMPERATURE,
"gcp.gen_ai.operation.config.top_k": gen_ai_attributes.GEN_AI_REQUEST_TOP_K,
"gcp.gen_ai.operation.config.top_p": gen_ai_attributes.GEN_AI_REQUEST_TOP_P,
"gcp.gen_ai.operation.config.candidate_count": gen_ai_attributes.GEN_AI_REQUEST_CHOICE_COUNT,
"gcp.gen_ai.operation.config.max_output_tokens": gen_ai_attributes.GEN_AI_REQUEST_MAX_TOKENS,
"gcp.gen_ai.operation.config.stop_sequences": gen_ai_attributes.GEN_AI_REQUEST_STOP_SEQUENCES,
"gcp.gen_ai.operation.config.frequency_penalty": gen_ai_attributes.GEN_AI_REQUEST_FREQUENCY_PENALTY,
"gcp.gen_ai.operation.config.presence_penalty": gen_ai_attributes.GEN_AI_REQUEST_PRESENCE_PENALTY,
"gcp.gen_ai.operation.config.seed": gen_ai_attributes.GEN_AI_REQUEST_SEED,
},
)
for key, value in attributes.items():
if key.startswith(
GCP_GENAI_OPERATION_CONFIG
) and not allow_list.allowed(key):
# The allowlist is used to control inclusion of the dynamic keys.
continue
span.set_attribute(key, value)
def _get_response_property(response: GenerateContentResponse, path: str):
path_segments = path.split(".")
current_context = response
for path_segment in path_segments:
if current_context is None:
return None
if isinstance(current_context, dict):
current_context = current_context.get(path_segment)
else:
current_context = getattr(current_context, path_segment)
return current_context
def _coerce_config_to_object(
config: GenerateContentConfigOrDict,
) -> GenerateContentConfig:
if isinstance(config, GenerateContentConfig):
return config
# Input must be a dictionary; convert by invoking the constructor.
return GenerateContentConfig(**config)
def _wrapped_config_with_tools(
otel_wrapper: OTelWrapper,
config: GenerateContentConfig,
**kwargs,
):
if not config.tools:
return config
result = copy.copy(config)
result.tools = [
wrapped_tool(tool, otel_wrapper, **kwargs) for tool in config.tools
]
return result
class _GenerateContentInstrumentationHelper:
def __init__(
self,
models_object: Union[Models, AsyncModels],
otel_wrapper: OTelWrapper,
model: str,
generate_content_config_key_allowlist: Optional[AllowList] = None,
):
self._start_time = time.time_ns()
self._otel_wrapper = otel_wrapper
self._genai_system = _determine_genai_system(models_object)
self._genai_request_model = model
self._finish_reasons_set = set()
self._error_type = None
self._input_tokens = 0
self._output_tokens = 0
self._content_recording_enabled = is_content_recording_enabled()
self._response_index = 0
self._candidate_index = 0
self._generate_content_config_key_allowlist = (
generate_content_config_key_allowlist or AllowList()
)
def wrapped_config(
self, config: Optional[GenerateContentConfigOrDict]
) -> Optional[GenerateContentConfig]:
if config is None:
return None
return _wrapped_config_with_tools(
self._otel_wrapper,
_coerce_config_to_object(config),
extra_span_attributes={"gen_ai.system": self._genai_system},
)
def start_span_as_current_span(
self, model_name, function_name, end_on_exit=True
):
return self._otel_wrapper.start_as_current_span(
f"{_GENERATE_CONTENT_OP_NAME} {model_name}",
start_time=self._start_time,
attributes={
code_attributes.CODE_FUNCTION_NAME: function_name,
gen_ai_attributes.GEN_AI_SYSTEM: self._genai_system,
gen_ai_attributes.GEN_AI_REQUEST_MODEL: self._genai_request_model,
gen_ai_attributes.GEN_AI_OPERATION_NAME: _GENERATE_CONTENT_OP_NAME,
},
end_on_exit=end_on_exit,
)
def process_request(
self,
contents: Union[ContentListUnion, ContentListUnionDict],
config: Optional[GenerateContentConfigOrDict],
):
span = trace.get_current_span()
_add_request_options_to_span(
span, config, self._generate_content_config_key_allowlist
)
self._maybe_log_system_instruction(config=config)
self._maybe_log_user_prompt(contents)
def process_response(self, response: GenerateContentResponse):
# TODO: Determine if there are other response properties that
# need to be reflected back into the span attributes.
#
# See also: TODOS.md.
self._update_finish_reasons(response)
self._maybe_update_token_counts(response)
self._maybe_update_error_type(response)
self._maybe_log_response(response)
self._response_index += 1
def process_error(self, e: Exception):
self._error_type = str(e.__class__.__name__)
def finalize_processing(self):
span = trace.get_current_span()
span.set_attribute(
gen_ai_attributes.GEN_AI_USAGE_INPUT_TOKENS, self._input_tokens
)
span.set_attribute(
gen_ai_attributes.GEN_AI_USAGE_OUTPUT_TOKENS, self._output_tokens
)
span.set_attribute(
gen_ai_attributes.GEN_AI_RESPONSE_FINISH_REASONS,
sorted(self._finish_reasons_set),
)
self._record_token_usage_metric()
self._record_duration_metric()
def _update_finish_reasons(self, response):
if not response.candidates:
return
for candidate in response.candidates:
finish_reason = candidate.finish_reason
if finish_reason is None:
continue
finish_reason_str = finish_reason.name.lower().removeprefix(
"finish_reason_"
)
self._finish_reasons_set.add(finish_reason_str)
def _maybe_update_token_counts(self, response: GenerateContentResponse):
input_tokens = _get_response_property(
response, "usage_metadata.prompt_token_count"
)
output_tokens = _get_response_property(
response, "usage_metadata.candidates_token_count"
)
if input_tokens and isinstance(input_tokens, int):
self._input_tokens += input_tokens
if output_tokens and isinstance(output_tokens, int):
self._output_tokens += output_tokens
def _maybe_update_error_type(self, response: GenerateContentResponse):
if response.candidates:
return
if (
(not response.prompt_feedback)
or (not response.prompt_feedback.block_reason)
or (
response.prompt_feedback.block_reason
== BlockedReason.BLOCKED_REASON_UNSPECIFIED
)
):
self._error_type = "NO_CANDIDATES"
return
# TODO: in the case where there are no candidate responses due to
# safety settings like this, it might make sense to emit an event
# that contains more details regarding the safety settings, their
# thresholds, etc. However, this requires defining an associated
# semantic convention to capture this. Follow up with SemConv to
# establish appropriate data modelling to capture these details,
# and then emit those details accordingly. (For the time being,
# we use the defined 'error.type' semantic convention to relay
# just the minimum amount of error information here).
#
# See also: "TODOS.md"
block_reason = response.prompt_feedback.block_reason.name.upper()
self._error_type = f"BLOCKED_{block_reason}"
def _maybe_log_system_instruction(
self, config: Optional[GenerateContentConfigOrDict] = None
):
system_instruction = None
if config is not None:
if isinstance(config, dict):
system_instruction = config.get("system_instruction")
else:
system_instruction = config.system_instruction
if not system_instruction:
return
attributes = {
gen_ai_attributes.GEN_AI_SYSTEM: self._genai_system,
}
# TODO: determine if "role" should be reported here or not. It is unclear
# since the caller does not supply a "role" and since this comes through
# a property named "system_instruction" which would seem to align with
# the default "role" that is allowed to be omitted by default.
#
# See also: "TODOS.md"
body = {}
if self._content_recording_enabled:
body["content"] = _to_dict(system_instruction)
else:
body["content"] = _CONTENT_ELIDED
self._otel_wrapper.log_system_prompt(
attributes=attributes,
body=body,
)
def _maybe_log_user_prompt(
self, contents: Union[ContentListUnion, ContentListUnionDict]
):
if isinstance(contents, list):
total = len(contents)
index = 0
for entry in contents:
self._maybe_log_single_user_prompt(
entry, index=index, total=total
)
index += 1
else:
self._maybe_log_single_user_prompt(contents)
def _maybe_log_single_user_prompt(
self, contents: Union[ContentUnion, ContentUnionDict], index=0, total=1
):
# TODO: figure out how to report the index in a manner that is
# aligned with the OTel semantic conventions.
attributes = {
gen_ai_attributes.GEN_AI_SYSTEM: self._genai_system,
}
# TODO: determine if "role" should be reported here or not and, if so,
# what the value ought to be. It is not clear whether there is always
# a role supplied (and it looks like there could be cases where there
# is more than one role present in the supplied contents)?
#
# See also: "TODOS.md"
body = {}
if self._content_recording_enabled:
logged_contents = contents
if isinstance(contents, list):
logged_contents = Content(parts=contents)
body["content"] = _to_dict(logged_contents)
else:
body["content"] = _CONTENT_ELIDED
self._otel_wrapper.log_user_prompt(
attributes=attributes,
body=body,
)
def _maybe_log_response_stats(self, response: GenerateContentResponse):
# TODO: Determine if there is a way that we can log a summary
# of the overall response in a manner that is aligned with
# Semantic Conventions. For example, it would be natural
# to report an event that looks something like:
#
# gen_ai.response.stats {
# response_index: 0,
# candidate_count: 3,
# parts_per_candidate: [
# 3,
# 1,
# 5
# ]
# }
#
pass
def _maybe_log_response_safety_ratings(
self, response: GenerateContentResponse
):
# TODO: Determine if there is a way that we can log
# the "prompt_feedback". This would be especially useful
# in the case where the response is blocked.
pass
def _maybe_log_response(self, response: GenerateContentResponse):
self._maybe_log_response_stats(response)
self._maybe_log_response_safety_ratings(response)
if not response.candidates:
return
candidate_in_response_index = 0
for candidate in response.candidates:
self._maybe_log_response_candidate(
candidate,
flat_candidate_index=self._candidate_index,
candidate_in_response_index=candidate_in_response_index,
response_index=self._response_index,
)
self._candidate_index += 1
candidate_in_response_index += 1
def _maybe_log_response_candidate(
self,
candidate: Candidate,
flat_candidate_index: int,
candidate_in_response_index: int,
response_index: int,
):
# TODO: Determine if there might be a way to report the
# response index and candidate response index.
attributes = {
gen_ai_attributes.GEN_AI_SYSTEM: self._genai_system,
}
# TODO: determine if "role" should be reported here or not and, if so,
# what the value ought to be.
#
# TODO: extract tool information into a separate tool message.
#
# TODO: determine if/when we need to emit a 'gen_ai.assistant.message' event.
#
# TODO: determine how to report other relevant details in the candidate that
# are not presently captured by Semantic Conventions. For example, the
# "citation_metadata", "grounding_metadata", "logprobs_result", etc.
#
# See also: "TODOS.md"
body = {
"index": flat_candidate_index,
}
if self._content_recording_enabled:
if candidate.content:
body["content"] = _to_dict(candidate.content)
else:
body["content"] = _CONTENT_ELIDED
if candidate.finish_reason is not None:
body["finish_reason"] = candidate.finish_reason.name
self._otel_wrapper.log_response_content(
attributes=attributes,
body=body,
)
def _record_token_usage_metric(self):
self._otel_wrapper.token_usage_metric.record(
self._input_tokens,
attributes={
gen_ai_attributes.GEN_AI_TOKEN_TYPE: "input",
gen_ai_attributes.GEN_AI_SYSTEM: self._genai_system,
gen_ai_attributes.GEN_AI_REQUEST_MODEL: self._genai_request_model,
gen_ai_attributes.GEN_AI_OPERATION_NAME: _GENERATE_CONTENT_OP_NAME,
},
)
self._otel_wrapper.token_usage_metric.record(
self._output_tokens,
attributes={
gen_ai_attributes.GEN_AI_TOKEN_TYPE: "output",
gen_ai_attributes.GEN_AI_SYSTEM: self._genai_system,
gen_ai_attributes.GEN_AI_REQUEST_MODEL: self._genai_request_model,
gen_ai_attributes.GEN_AI_OPERATION_NAME: _GENERATE_CONTENT_OP_NAME,
},
)
def _record_duration_metric(self):
attributes = {
gen_ai_attributes.GEN_AI_SYSTEM: self._genai_system,
gen_ai_attributes.GEN_AI_REQUEST_MODEL: self._genai_request_model,
gen_ai_attributes.GEN_AI_OPERATION_NAME: _GENERATE_CONTENT_OP_NAME,
}
if self._error_type is not None:
attributes[error_attributes.ERROR_TYPE] = self._error_type
duration_nanos = time.time_ns() - self._start_time
duration_seconds = duration_nanos / 1e9
self._otel_wrapper.operation_duration_metric.record(
duration_seconds,
attributes=attributes,
)
def _create_instrumented_generate_content(
snapshot: _MethodsSnapshot,
otel_wrapper: OTelWrapper,
generate_content_config_key_allowlist: Optional[AllowList] = None,
):
wrapped_func = snapshot.generate_content
@functools.wraps(wrapped_func)
def instrumented_generate_content(
self: Models,
*,
model: str,
contents: Union[ContentListUnion, ContentListUnionDict],
config: Optional[GenerateContentConfigOrDict] = None,
**kwargs: Any,
) -> GenerateContentResponse:
helper = _GenerateContentInstrumentationHelper(
self,
otel_wrapper,
model,
generate_content_config_key_allowlist=generate_content_config_key_allowlist,
)
with helper.start_span_as_current_span(
model, "google.genai.Models.generate_content"
):
helper.process_request(contents, config)
try:
response = wrapped_func(
self,
model=model,
contents=contents,
config=helper.wrapped_config(config),
**kwargs,
)
helper.process_response(response)
return response
except Exception as error:
helper.process_error(error)
raise
finally:
helper.finalize_processing()
return instrumented_generate_content
def _create_instrumented_generate_content_stream(
snapshot: _MethodsSnapshot,
otel_wrapper: OTelWrapper,
generate_content_config_key_allowlist: Optional[AllowList] = None,
):
wrapped_func = snapshot.generate_content_stream
@functools.wraps(wrapped_func)
def instrumented_generate_content_stream(
self: Models,
*,
model: str,
contents: Union[ContentListUnion, ContentListUnionDict],
config: Optional[GenerateContentConfigOrDict] = None,
**kwargs: Any,
) -> Iterator[GenerateContentResponse]:
helper = _GenerateContentInstrumentationHelper(
self,
otel_wrapper,
model,
generate_content_config_key_allowlist=generate_content_config_key_allowlist,
)
with helper.start_span_as_current_span(
model, "google.genai.Models.generate_content_stream"
):
helper.process_request(contents, config)
try:
for response in wrapped_func(
self,
model=model,
contents=contents,
config=helper.wrapped_config(config),
**kwargs,
):
helper.process_response(response)
yield response
except Exception as error:
helper.process_error(error)
raise
finally:
helper.finalize_processing()
return instrumented_generate_content_stream
def _create_instrumented_async_generate_content(
snapshot: _MethodsSnapshot,
otel_wrapper: OTelWrapper,
generate_content_config_key_allowlist: Optional[AllowList] = None,
):
wrapped_func = snapshot.async_generate_content
@functools.wraps(wrapped_func)
async def instrumented_generate_content(
self: AsyncModels,
*,
model: str,
contents: Union[ContentListUnion, ContentListUnionDict],
config: Optional[GenerateContentConfigOrDict] = None,
**kwargs: Any,
) -> GenerateContentResponse:
helper = _GenerateContentInstrumentationHelper(
self,
otel_wrapper,
model,
generate_content_config_key_allowlist=generate_content_config_key_allowlist,
)
with helper.start_span_as_current_span(
model, "google.genai.AsyncModels.generate_content"
):
helper.process_request(contents, config)
try:
response = await wrapped_func(
self,
model=model,
contents=contents,
config=helper.wrapped_config(config),
**kwargs,
)
helper.process_response(response)
return response
except Exception as error:
helper.process_error(error)
raise
finally:
helper.finalize_processing()
return instrumented_generate_content
# Disabling type checking because this is not yet implemented and tested fully.
def _create_instrumented_async_generate_content_stream( # type: ignore
snapshot: _MethodsSnapshot,
otel_wrapper: OTelWrapper,
generate_content_config_key_allowlist: Optional[AllowList] = None,
):
wrapped_func = snapshot.async_generate_content_stream
@functools.wraps(wrapped_func)
async def instrumented_generate_content_stream(
self: AsyncModels,
*,
model: str,
contents: Union[ContentListUnion, ContentListUnionDict],
config: Optional[GenerateContentConfigOrDict] = None,
**kwargs: Any,
) -> Awaitable[AsyncIterator[GenerateContentResponse]]: # type: ignore
helper = _GenerateContentInstrumentationHelper(
self,
otel_wrapper,
model,
generate_content_config_key_allowlist=generate_content_config_key_allowlist,
)
with helper.start_span_as_current_span(
model,
"google.genai.AsyncModels.generate_content_stream",
end_on_exit=False,
) as span:
helper.process_request(contents, config)
try:
response_async_generator = await wrapped_func(
self,
model=model,
contents=contents,
config=helper.wrapped_config(config),
**kwargs,
)
except Exception as error: # pylint: disable=broad-exception-caught
helper.process_error(error)
helper.finalize_processing()
with trace.use_span(span, end_on_exit=True):
raise
async def _response_async_generator_wrapper():
with trace.use_span(span, end_on_exit=True):
try:
async for response in response_async_generator:
helper.process_response(response)
yield response
except Exception as error:
helper.process_error(error)
raise
finally:
helper.finalize_processing()
return _response_async_generator_wrapper()
return instrumented_generate_content_stream
def uninstrument_generate_content(snapshot: object):
assert isinstance(snapshot, _MethodsSnapshot)
snapshot.restore()
def instrument_generate_content(
otel_wrapper: OTelWrapper,
generate_content_config_key_allowlist: Optional[AllowList] = None,
) -> object:
snapshot = _MethodsSnapshot()
Models.generate_content = _create_instrumented_generate_content(
snapshot,
otel_wrapper,
generate_content_config_key_allowlist=generate_content_config_key_allowlist,
)
Models.generate_content_stream = _create_instrumented_generate_content_stream(
snapshot,
otel_wrapper,
generate_content_config_key_allowlist=generate_content_config_key_allowlist,
)
AsyncModels.generate_content = _create_instrumented_async_generate_content(
snapshot,
otel_wrapper,
generate_content_config_key_allowlist=generate_content_config_key_allowlist,
)
AsyncModels.generate_content_stream = _create_instrumented_async_generate_content_stream(
snapshot,
otel_wrapper,
generate_content_config_key_allowlist=generate_content_config_key_allowlist,
)
return snapshot

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@ -1,67 +0,0 @@
# 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 typing import Any, Collection, Optional
from opentelemetry._events import get_event_logger_provider
from opentelemetry.instrumentation.instrumentor import BaseInstrumentor
from opentelemetry.metrics import get_meter_provider
from opentelemetry.trace import get_tracer_provider
from .allowlist_util import AllowList
from .generate_content import (
instrument_generate_content,
uninstrument_generate_content,
)
from .otel_wrapper import OTelWrapper
class GoogleGenAiSdkInstrumentor(BaseInstrumentor):
def __init__(
self, generate_content_config_key_allowlist: Optional[AllowList] = None
):
self._generate_content_snapshot = None
self._generate_content_config_key_allowlist = (
generate_content_config_key_allowlist
or AllowList.from_env(
"OTEL_GOOGLE_GENAI_GENERATE_CONTENT_CONFIG_INCLUDES",
excludes_env_var="OTEL_GOOGLE_GENAI_GENERATE_CONTENT_CONFIG_EXCLUDES",
)
)
# Inherited, abstract function from 'BaseInstrumentor'. Even though 'self' is
# not used in the definition, a method is required per the API contract.
def instrumentation_dependencies(self) -> Collection[str]: # pylint: disable=no-self-use
return ["google-genai>=1.0.0,<2"]
def _instrument(self, **kwargs: Any):
tracer_provider = (
kwargs.get("tracer_provider") or get_tracer_provider()
)
event_logger_provider = (
kwargs.get("event_logger_provider") or get_event_logger_provider()
)
meter_provider = kwargs.get("meter_provider") or get_meter_provider()
otel_wrapper = OTelWrapper.from_providers(
tracer_provider=tracer_provider,
event_logger_provider=event_logger_provider,
meter_provider=meter_provider,
)
self._generate_content_snapshot = instrument_generate_content(
otel_wrapper,
generate_content_config_key_allowlist=self._generate_content_config_key_allowlist,
)
def _uninstrument(self, **kwargs: Any):
uninstrument_generate_content(self._generate_content_snapshot)

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@ -1,92 +0,0 @@
# 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.
import logging
import google.genai
from opentelemetry._events import Event
from opentelemetry.semconv._incubating.metrics import gen_ai_metrics
from opentelemetry.semconv.schemas import Schemas
from .version import __version__ as _LIBRARY_VERSION
_logger = logging.getLogger(__name__)
_SCOPE_NAME = "opentelemetry.instrumentation.google_genai"
_PYPI_PACKAGE_NAME = "opentelemetry-instrumentation-google-genai"
_SCHEMA_URL = Schemas.V1_30_0.value
_SCOPE_ATTRIBUTES = {
"gcp.client.name": "google.genai",
"gcp.client.repo": "googleapis/python-genai",
"gcp.client.version": google.genai.__version__,
"pypi.package.name": _PYPI_PACKAGE_NAME,
}
class OTelWrapper:
def __init__(self, tracer, event_logger, meter):
self._tracer = tracer
self._event_logger = event_logger
self._meter = meter
self._operation_duration_metric = (
gen_ai_metrics.create_gen_ai_client_operation_duration(meter)
)
self._token_usage_metric = (
gen_ai_metrics.create_gen_ai_client_token_usage(meter)
)
@staticmethod
def from_providers(tracer_provider, event_logger_provider, meter_provider):
return OTelWrapper(
tracer_provider.get_tracer(
_SCOPE_NAME, _LIBRARY_VERSION, _SCHEMA_URL, _SCOPE_ATTRIBUTES
),
event_logger_provider.get_event_logger(
_SCOPE_NAME, _LIBRARY_VERSION, _SCHEMA_URL, _SCOPE_ATTRIBUTES
),
meter=meter_provider.get_meter(
_SCOPE_NAME, _LIBRARY_VERSION, _SCHEMA_URL, _SCOPE_ATTRIBUTES
),
)
def start_as_current_span(self, *args, **kwargs):
return self._tracer.start_as_current_span(*args, **kwargs)
@property
def operation_duration_metric(self):
return self._operation_duration_metric
@property
def token_usage_metric(self):
return self._token_usage_metric
def log_system_prompt(self, attributes, body):
_logger.debug("Recording system prompt.")
event_name = "gen_ai.system.message"
self._log_event(event_name, attributes, body)
def log_user_prompt(self, attributes, body):
_logger.debug("Recording user prompt.")
event_name = "gen_ai.user.message"
self._log_event(event_name, attributes, body)
def log_response_content(self, attributes, body):
_logger.debug("Recording response.")
event_name = "gen_ai.choice"
self._log_event(event_name, attributes, body)
def _log_event(self, event_name, attributes, body):
event = Event(event_name, body=body, attributes=attributes)
self._event_logger.emit(event)

View File

@ -1,15 +0,0 @@
# 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.
_instruments = ("google-genai >= 1.0.0",)

View File

@ -1,220 +0,0 @@
# 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.
import functools
import inspect
import json
from typing import Any, Callable, Optional, Union
from google.genai.types import (
ToolListUnion,
ToolListUnionDict,
ToolOrDict,
)
from opentelemetry import trace
from opentelemetry.semconv._incubating.attributes import (
code_attributes,
)
from .flags import is_content_recording_enabled
from .otel_wrapper import OTelWrapper
ToolFunction = Callable[..., Any]
def _is_primitive(value):
return isinstance(value, (str, int, bool, float))
def _to_otel_value(python_value):
"""Coerces parameters to something representable with Open Telemetry."""
if python_value is None or _is_primitive(python_value):
return python_value
if isinstance(python_value, list):
return [_to_otel_value(x) for x in python_value]
if isinstance(python_value, dict):
return {
key: _to_otel_value(val) for (key, val) in python_value.items()
}
if hasattr(python_value, "model_dump"):
return python_value.model_dump()
if hasattr(python_value, "__dict__"):
return _to_otel_value(python_value.__dict__)
return repr(python_value)
def _is_homogenous_primitive_list(value):
if not isinstance(value, list):
return False
if not value:
return True
if not _is_primitive(value[0]):
return False
first_type = type(value[0])
for entry in value[1:]:
if not isinstance(entry, first_type):
return False
return True
def _to_otel_attribute(python_value):
otel_value = _to_otel_value(python_value)
if _is_primitive(otel_value) or _is_homogenous_primitive_list(otel_value):
return otel_value
return json.dumps(otel_value)
def _create_function_span_name(wrapped_function):
"""Constructs the span name for a given local function tool call."""
function_name = wrapped_function.__name__
return f"execute_tool {function_name}"
def _create_function_span_attributes(
wrapped_function, function_args, function_kwargs, extra_span_attributes
):
"""Creates the attributes for a tool call function span."""
result = {}
if extra_span_attributes:
result.update(extra_span_attributes)
result["gen_ai.operation.name"] = "execute_tool"
result["gen_ai.tool.name"] = wrapped_function.__name__
if wrapped_function.__doc__:
result["gen_ai.tool.description"] = wrapped_function.__doc__
result[code_attributes.CODE_FUNCTION_NAME] = wrapped_function.__name__
result["code.module"] = wrapped_function.__module__
result["code.args.positional.count"] = len(function_args)
result["code.args.keyword.count"] = len(function_kwargs)
return result
def _record_function_call_argument(
span, param_name, param_value, include_values
):
attribute_prefix = f"code.function.parameters.{param_name}"
type_attribute = f"{attribute_prefix}.type"
span.set_attribute(type_attribute, type(param_value).__name__)
if include_values:
value_attribute = f"{attribute_prefix}.value"
span.set_attribute(value_attribute, _to_otel_attribute(param_value))
def _record_function_call_arguments(
otel_wrapper, wrapped_function, function_args, function_kwargs
):
"""Records the details about a function invocation as span attributes."""
include_values = is_content_recording_enabled()
span = trace.get_current_span()
signature = inspect.signature(wrapped_function)
params = list(signature.parameters.values())
for index, entry in enumerate(function_args):
param_name = f"args[{index}]"
if index < len(params):
param_name = params[index].name
_record_function_call_argument(span, param_name, entry, include_values)
for key, value in function_kwargs.items():
_record_function_call_argument(span, key, value, include_values)
def _record_function_call_result(otel_wrapper, wrapped_function, result):
"""Records the details about a function result as span attributes."""
include_values = is_content_recording_enabled()
span = trace.get_current_span()
span.set_attribute("code.function.return.type", type(result).__name__)
if include_values:
span.set_attribute(
"code.function.return.value", _to_otel_attribute(result)
)
def _wrap_sync_tool_function(
tool_function: ToolFunction,
otel_wrapper: OTelWrapper,
extra_span_attributes: Optional[dict[str, str]] = None,
**unused_kwargs,
):
@functools.wraps(tool_function)
def wrapped_function(*args, **kwargs):
span_name = _create_function_span_name(tool_function)
attributes = _create_function_span_attributes(
tool_function, args, kwargs, extra_span_attributes
)
with otel_wrapper.start_as_current_span(
span_name, attributes=attributes
):
_record_function_call_arguments(
otel_wrapper, tool_function, args, kwargs
)
result = tool_function(*args, **kwargs)
_record_function_call_result(otel_wrapper, tool_function, result)
return result
return wrapped_function
def _wrap_async_tool_function(
tool_function: ToolFunction,
otel_wrapper: OTelWrapper,
extra_span_attributes: Optional[dict[str, str]] = None,
**unused_kwargs,
):
@functools.wraps(tool_function)
async def wrapped_function(*args, **kwargs):
span_name = _create_function_span_name(tool_function)
attributes = _create_function_span_attributes(
tool_function, args, kwargs, extra_span_attributes
)
with otel_wrapper.start_as_current_span(
span_name, attributes=attributes
):
_record_function_call_arguments(
otel_wrapper, tool_function, args, kwargs
)
result = await tool_function(*args, **kwargs)
_record_function_call_result(otel_wrapper, tool_function, result)
return result
return wrapped_function
def _wrap_tool_function(
tool_function: ToolFunction, otel_wrapper: OTelWrapper, **kwargs
):
if inspect.iscoroutinefunction(tool_function):
return _wrap_async_tool_function(tool_function, otel_wrapper, **kwargs)
return _wrap_sync_tool_function(tool_function, otel_wrapper, **kwargs)
def wrapped(
tool_or_tools: Optional[
Union[ToolFunction, ToolOrDict, ToolListUnion, ToolListUnionDict]
],
otel_wrapper: OTelWrapper,
**kwargs,
):
if tool_or_tools is None:
return None
if isinstance(tool_or_tools, list):
return [
wrapped(item, otel_wrapper, **kwargs) for item in tool_or_tools
]
if isinstance(tool_or_tools, dict):
return {
key: wrapped(value, otel_wrapper, **kwargs)
for (key, value) in tool_or_tools.items()
}
if callable(tool_or_tools):
return _wrap_tool_function(tool_or_tools, otel_wrapper, **kwargs)
return tool_or_tools

View File

@ -1,20 +0,0 @@
# 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.
# **IMPORTANT**:
#
# This version should stay below "1.0" until the fundamentals
# in "TODOS.md" have been addressed. Please revisit the TODOs
# listed there before bumping to a stable version.
__version__ = "0.4b0.dev"

View File

@ -1,20 +0,0 @@
# 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.
import google.auth.credentials
class FakeCredentials(google.auth.credentials.AnonymousCredentials):
def refresh(self, request):
pass

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@ -1,84 +0,0 @@
# 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.
import os
import unittest
import google.genai
from .auth import FakeCredentials
from .instrumentation_context import InstrumentationContext
from .otel_mocker import OTelMocker
class TestCase(unittest.TestCase):
def setUp(self):
self._otel = OTelMocker()
self._otel.install()
self._instrumentation_context = None
self._api_key = "test-api-key"
self._project = "test-project"
self._location = "test-location"
self._client = None
self._uses_vertex = False
self._credentials = FakeCredentials()
self._instrumentor_args = {}
def _lazy_init(self):
self._instrumentation_context = InstrumentationContext(
**self._instrumentor_args
)
self._instrumentation_context.install()
def set_instrumentor_constructor_kwarg(self, key, value):
self._instrumentor_args[key] = value
@property
def client(self):
if self._client is None:
self._client = self._create_client()
return self._client
@property
def otel(self):
return self._otel
def set_use_vertex(self, use_vertex):
self._uses_vertex = use_vertex
def reset_client(self):
self._client = None
def reset_instrumentation(self):
if self._instrumentation_context is None:
return
self._instrumentation_context.uninstall()
self._instrumentation_context = None
def _create_client(self):
self._lazy_init()
if self._uses_vertex:
os.environ["GOOGLE_API_KEY"] = self._api_key
return google.genai.Client(
vertexai=True,
project=self._project,
location=self._location,
credentials=self._credentials,
)
return google.genai.Client(vertexai=False, api_key=self._api_key)
def tearDown(self):
if self._instrumentation_context is not None:
self._instrumentation_context.uninstall()
self._otel.uninstall()

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@ -1,28 +0,0 @@
# 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 opentelemetry.instrumentation.google_genai import (
GoogleGenAiSdkInstrumentor,
)
class InstrumentationContext:
def __init__(self, **kwargs):
self._instrumentor = GoogleGenAiSdkInstrumentor(**kwargs)
def install(self):
self._instrumentor.instrument()
def uninstall(self):
self._instrumentor.uninstrument()

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@ -1,232 +0,0 @@
# 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.
import opentelemetry._events
import opentelemetry._logs._internal
import opentelemetry.metrics._internal
import opentelemetry.trace
from opentelemetry._events import (
get_event_logger_provider,
set_event_logger_provider,
)
from opentelemetry._logs import get_logger_provider, set_logger_provider
from opentelemetry.metrics import get_meter_provider, set_meter_provider
from opentelemetry.sdk._events import EventLoggerProvider
from opentelemetry.sdk._logs import LoggerProvider
from opentelemetry.sdk._logs.export import (
InMemoryLogExporter,
SimpleLogRecordProcessor,
)
from opentelemetry.sdk.metrics import MeterProvider
from opentelemetry.sdk.metrics._internal.export import InMemoryMetricReader
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import SimpleSpanProcessor
from opentelemetry.sdk.trace.export.in_memory_span_exporter import (
InMemorySpanExporter,
)
from opentelemetry.trace import get_tracer_provider, set_tracer_provider
from opentelemetry.util._once import Once
def _bypass_otel_once():
opentelemetry.trace._TRACER_PROVIDER_SET_ONCE = Once()
opentelemetry._logs._internal._LOGGER_PROVIDER_SET_ONCE = Once()
opentelemetry._events._EVENT_LOGGER_PROVIDER_SET_ONCE = Once()
opentelemetry.metrics._internal._METER_PROVIDER_SET_ONCE = Once()
class OTelProviderSnapshot:
def __init__(self):
self._tracer_provider = get_tracer_provider()
self._logger_provider = get_logger_provider()
self._event_logger_provider = get_event_logger_provider()
self._meter_provider = get_meter_provider()
def restore(self):
_bypass_otel_once()
set_tracer_provider(self._tracer_provider)
set_logger_provider(self._logger_provider)
set_event_logger_provider(self._event_logger_provider)
set_meter_provider(self._meter_provider)
class _LogWrapper:
def __init__(self, log_data):
self._log_data = log_data
@property
def scope(self):
return self._log_data.instrumentation_scope
@property
def resource(self):
return self._log_data.log_record.resource
@property
def attributes(self):
return self._log_data.log_record.attributes
@property
def body(self):
return self._log_data.log_record.body
def __str__(self):
return self._log_data.log_record.to_json()
class _MetricDataPointWrapper:
def __init__(self, resource, scope, metric):
self._resource = resource
self._scope = scope
self._metric = metric
@property
def resource(self):
return self._resource
@property
def scope(self):
return self._scope
@property
def metric(self):
return self._metric
@property
def name(self):
return self._metric.name
@property
def data(self):
return self._metric.data
class OTelMocker:
def __init__(self):
self._snapshot = None
self._logs = InMemoryLogExporter()
self._traces = InMemorySpanExporter()
self._metrics = InMemoryMetricReader()
self._spans = []
self._finished_logs = []
self._metrics_data = []
def install(self):
self._snapshot = OTelProviderSnapshot()
_bypass_otel_once()
self._install_logs()
self._install_metrics()
self._install_traces()
def uninstall(self):
self._snapshot.restore()
def get_finished_logs(self):
for log_data in self._logs.get_finished_logs():
self._finished_logs.append(_LogWrapper(log_data))
return self._finished_logs
def get_finished_spans(self):
for span in self._traces.get_finished_spans():
self._spans.append(span)
return self._spans
def get_metrics_data(self):
data = self._metrics.get_metrics_data()
if data is not None:
for resource_metric in data.resource_metrics:
resource = resource_metric.resource
for scope_metrics in resource_metric.scope_metrics:
scope = scope_metrics.scope
for metric in scope_metrics.metrics:
wrapper = _MetricDataPointWrapper(
resource, scope, metric
)
self._metrics_data.append(wrapper)
return self._metrics_data
def get_span_named(self, name):
for span in self.get_finished_spans():
if span.name == name:
return span
return None
def assert_has_span_named(self, name):
span = self.get_span_named(name)
finished_spans = [span.name for span in self.get_finished_spans()]
assert (
span is not None
), f'Could not find span named "{name}"; finished spans: {finished_spans}'
def assert_does_not_have_span_named(self, name):
span = self.get_span_named(name)
assert span is None, f"Found unexpected span named {name}"
def get_event_named(self, event_name):
for event in self.get_finished_logs():
event_name_attr = event.attributes.get("event.name")
if event_name_attr is None:
continue
if event_name_attr == event_name:
return event
return None
def get_events_named(self, event_name):
result = []
for event in self.get_finished_logs():
event_name_attr = event.attributes.get("event.name")
if event_name_attr is None:
continue
if event_name_attr == event_name:
result.append(event)
return result
def assert_has_event_named(self, name):
event = self.get_event_named(name)
finished_logs = self.get_finished_logs()
assert (
event is not None
), f'Could not find event named "{name}"; finished logs: {finished_logs}'
def assert_does_not_have_event_named(self, name):
event = self.get_event_named(name)
assert event is None, f"Unexpected event: {event}"
def get_metrics_data_named(self, name):
results = []
for entry in self.get_metrics_data():
if entry.name == name:
results.append(entry)
return results
def assert_has_metrics_data_named(self, name):
data = self.get_metrics_data_named(name)
assert len(data) > 0
def _install_logs(self):
provider = LoggerProvider()
provider.add_log_record_processor(SimpleLogRecordProcessor(self._logs))
set_logger_provider(provider)
event_provider = EventLoggerProvider(logger_provider=provider)
set_event_logger_provider(event_provider)
def _install_metrics(self):
provider = MeterProvider(metric_readers=[self._metrics])
set_meter_provider(provider)
def _install_traces(self):
provider = TracerProvider()
provider.add_span_processor(SimpleSpanProcessor(self._traces))
set_tracer_provider(provider)

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@ -1,163 +0,0 @@
# 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.
import unittest
import unittest.mock
from google.genai.models import AsyncModels, Models
from ..common.base import TestCase as CommonTestCaseBase
from .util import convert_to_response, create_response
# Helper used in "_install_mocks" below.
def _wrap_output(mock_generate_content):
def _wrapped(*args, **kwargs):
return convert_to_response(mock_generate_content(*args, **kwargs))
return _wrapped
# Helper used in "_install_mocks" below.
def _wrap_output_stream(mock_generate_content_stream):
def _wrapped(*args, **kwargs):
for output in mock_generate_content_stream(*args, **kwargs):
yield convert_to_response(output)
return _wrapped
# Helper used in "_install_mocks" below.
def _async_wrapper(mock_generate_content):
async def _wrapped(*args, **kwargs):
return mock_generate_content(*args, **kwargs)
return _wrapped
# Helper used in "_install_mocks" below.
def _async_stream_wrapper(mock_generate_content_stream):
async def _wrapped(*args, **kwargs):
async def _internal_generator():
for result in mock_generate_content_stream(*args, **kwargs):
yield result
return _internal_generator()
return _wrapped
class TestCase(CommonTestCaseBase):
# The "setUp" function is defined by "unittest.TestCase" and thus
# this name must be used. Uncertain why pylint doesn't seem to
# recognize that this is a unit test class for which this is inherited.
def setUp(self): # pylint: disable=invalid-name
super().setUp()
if self.__class__ == TestCase:
raise unittest.SkipTest("Skipping testcase base.")
self._generate_content_mock = None
self._generate_content_stream_mock = None
self._original_generate_content = Models.generate_content
self._original_generate_content_stream = Models.generate_content_stream
self._original_async_generate_content = AsyncModels.generate_content
self._original_async_generate_content_stream = (
AsyncModels.generate_content_stream
)
self._responses = []
self._response_index = 0
@property
def mock_generate_content(self):
if self._generate_content_mock is None:
self._create_and_install_mocks()
return self._generate_content_mock
@property
def mock_generate_content_stream(self):
if self._generate_content_stream_mock is None:
self._create_and_install_mocks()
return self._generate_content_stream_mock
def configure_valid_response(self, **kwargs):
self._create_and_install_mocks()
response = create_response(**kwargs)
self._responses.append(response)
def _create_and_install_mocks(self):
if self._generate_content_mock is not None:
return
self.reset_client()
self.reset_instrumentation()
self._generate_content_mock = self._create_nonstream_mock()
self._generate_content_stream_mock = self._create_stream_mock()
self._install_mocks()
def _create_nonstream_mock(self):
mock = unittest.mock.MagicMock()
def _default_impl(*args, **kwargs):
if not self._responses:
return create_response(text="Some response")
index = self._response_index % len(self._responses)
result = self._responses[index]
self._response_index += 1
return result
mock.side_effect = _default_impl
return mock
def _create_stream_mock(self):
mock = unittest.mock.MagicMock()
def _default_impl(*args, **kwargs):
for response in self._responses:
yield response
mock.side_effect = _default_impl
return mock
def _install_mocks(self):
output_wrapped = _wrap_output(self._generate_content_mock)
output_wrapped_stream = _wrap_output_stream(
self._generate_content_stream_mock
)
Models.generate_content = output_wrapped
Models.generate_content_stream = output_wrapped_stream
AsyncModels.generate_content = _async_wrapper(output_wrapped)
AsyncModels.generate_content_stream = _async_stream_wrapper(
output_wrapped_stream
)
def tearDown(self):
super().tearDown()
if self._generate_content_mock is None:
assert Models.generate_content == self._original_generate_content
assert (
Models.generate_content_stream
== self._original_generate_content_stream
)
assert (
AsyncModels.generate_content
== self._original_async_generate_content
)
assert (
AsyncModels.generate_content_stream
== self._original_async_generate_content_stream
)
Models.generate_content = self._original_generate_content
Models.generate_content_stream = self._original_generate_content_stream
AsyncModels.generate_content = self._original_async_generate_content
AsyncModels.generate_content_stream = (
self._original_async_generate_content_stream
)

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@ -1,94 +0,0 @@
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