From 70df9abfbe9ceb848c6ea18da5f2a6eb2ee5d660 Mon Sep 17 00:00:00 2001 From: Cian Cullinan Date: Tue, 3 Mar 2026 21:23:07 +0000 Subject: [PATCH 1/5] feat: add mktestdocs to catch docs/code drift (closes #1083) Adds automated testing of Python code examples in the documentation to prevent examples from drifting out of sync with the library. Changes: - Add `mktestdocs` and `pytest` to the `doc` dependency group in `pyproject.toml` so they are available alongside the other doc-build tools without pulling in the full `dev` group. - Add `scripts/check-docs-drift.py`: a pytest-based script that uses `mktestdocs.grab_code_blocks()` to collect every ```python fenced block under `docs/`, skips any block whose first line is `# skip`, and executes the rest via `exec_python()`. A new taskipy task `docs-check-drift` runs it with `pytest scripts/check-docs-drift.py -v`. - Fix all ```python code blocks across `docs/` so they are correctly picked up by mktestdocs: - Remove the stray space in ``` python fences (changed to ```python) so that mktestdocs can identify them (it matches on the exact string "python" immediately after the backticks). - Add `save_to_file=False, log_level="error"` to `EmissionsTracker` and `OfflineEmissionsTracker` instantiations to avoid creating CSV files or noisy output during CI runs. - Add `# skip` as the first line of blocks that cannot run in CI because they depend on external services or optional heavy dependencies (TensorFlow, Prometheus, Logfire, Google Cloud, Comet ML, live CodeCarbon API). - Correct a `pip install` command that was incorrectly fenced as ```python in `comet.md`; changed to ```console. - Update `.github/workflows/build-docs.yml` to run `docs-check-drift` as a step before the docs build, triggered on changes to `docs/**`, `mkdocs.yml`, or `scripts/check-docs-drift.py`. - Document the drift check and the `# skip` convention in `CONTRIBUTING.md` under the "Build Documentation" section. --- .github/workflows/build-docs.yml | 5 + CONTRIBUTING.md | 22 + docs/getting-started/api.md | 12 +- docs/getting-started/comet.md | 5 +- docs/getting-started/examples.md | 9 +- docs/getting-started/usage.md | 38 +- docs/index.md | 2 +- docs/logging/output.md | 2 + docs/logging/to_logger.md | 9 +- pyproject.toml | 4 +- scripts/check-docs-drift.py | 22 + uv.lock | 2239 ++++++++++++++++++++---------- 12 files changed, 1637 insertions(+), 732 deletions(-) create mode 100644 scripts/check-docs-drift.py diff --git a/.github/workflows/build-docs.yml b/.github/workflows/build-docs.yml index 10c8cfbe5..2efe70fbc 100644 --- a/.github/workflows/build-docs.yml +++ b/.github/workflows/build-docs.yml @@ -9,12 +9,14 @@ on: paths: - "docs/**" - "mkdocs.yml" + - "tests/check-docs-drift.py" pull_request: branches: [master] paths: - "docs/**" - "mkdocs.yml" - ".github/workflows/build-docs.yml" + - "tests/check-docs-drift.py" jobs: build: @@ -33,6 +35,9 @@ jobs: - name: Install dependencies run: uv sync --group doc + - name: Check docs code examples + run: uv run task docs-check-drift + - name: Build docs run: | set -euo pipefail diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index efae3a970..c4b2d5f1c 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -284,6 +284,28 @@ uv run --only-group doc task docs to regenerate the html files. For local preview with live reload, run `uv run --only-group doc task docs-serve`. +#### Testing documentation code examples + +Python code blocks in the docs can be checked to catch examples that have drifted out of sync with the library. Run the check with: + +```sh +uv run task docs-check-drift +``` + +This executes every ` ```python ` fenced block found under `docs/` using [mktestdocs](https://github.com/koaning/mktestdocs). The check is driven by `scripts/check-docs-drift.py`. + +**Adding a new code block to the docs?** Use a ` ```python ` fence so it is picked up. If the block cannot run in CI (e.g. it requires TensorFlow, a live API, or other external dependencies), add `# skip` as the first line inside the block: + +````markdown +```python +# skip +import tensorflow as tf +... +``` +```` + +Blocks marked `# skip` are excluded from the check but still rendered normally in the documentation. + ### Rebase your branch on master Before creating a PR, please make sure to rebase your branch on master to avoid merge conflicts and make the review easier. You can do it with the following command: diff --git a/docs/getting-started/api.md b/docs/getting-started/api.md index cee83d85d..c4e409e6c 100644 --- a/docs/getting-started/api.md +++ b/docs/getting-started/api.md @@ -32,14 +32,16 @@ codecarbon monitor Or use the API in your code: -``` python +```python +# skip from codecarbon import track_emissions @track_emissions(save_to_api=True) def train_model(): - # GPU intensive training code goes here + # GPU intensive training code goes here + pass -if __name__ =="__main__": +if __name__ == "__main__": train_model() ``` @@ -59,7 +61,7 @@ You then have to set your experiment id in CodeCarbon, with two options: In the code: -``` python +```python from codecarbon import track_emissions @track_emissions( @@ -67,6 +69,8 @@ from codecarbon import track_emissions api_call_interval=4, experiment_id="your experiment id", save_to_api=True, + save_to_file=False, + log_level="error", ) def train_model(): ... diff --git a/docs/getting-started/comet.md b/docs/getting-started/comet.md index bf1ee525d..bd103c9b4 100644 --- a/docs/getting-started/comet.md +++ b/docs/getting-started/comet.md @@ -13,7 +13,7 @@ and more. To get started with the Comet-CodeCarbon integration, make sure you have comet-ml installed: -``` python +``` console pip install comet_ml>=3.2.2 ``` @@ -24,7 +24,8 @@ In the [mnist-comet.py](https://github.com/mlco2/codecarbon/blob/master/examples/mnist-comet.py) example file, replace the placeholder code with your API key: -``` python +```python +# skip experiment = Experiment(api_key="YOUR API KEY") ``` diff --git a/docs/getting-started/examples.md b/docs/getting-started/examples.md index b23b7b0bc..8ec2a692d 100644 --- a/docs/getting-started/examples.md +++ b/docs/getting-started/examples.md @@ -13,7 +13,8 @@ automatically and printed at the end of the training. But you can't get them in your code, see the Context Manager section below for that. -``` python +```python +# skip import tensorflow as tf from codecarbon import track_emissions @@ -49,7 +50,8 @@ if __name__ == "__main__": We think this is the best way to use CodeCarbon. Still only two lines of code, and you can get the emissions in your code. -``` python +```python +# skip import tensorflow as tf from codecarbon import EmissionsTracker @@ -95,7 +97,8 @@ CodeCarbon scheduler is stopped. If you don't use background after your computation code has crashed, so your program will never finish. -``` python +```python +# skip import tensorflow as tf from codecarbon import EmissionsTracker diff --git a/docs/getting-started/usage.md b/docs/getting-started/usage.md index d811a94c6..3b2029979 100644 --- a/docs/getting-started/usage.md +++ b/docs/getting-started/usage.md @@ -145,9 +145,9 @@ code base, users can instantiate a `EmissionsTracker` object and pass it as a parameter to function calls to start and stop the emissions tracking of the compute section. -``` python +```python from codecarbon import EmissionsTracker -tracker = EmissionsTracker() +tracker = EmissionsTracker(save_to_file=False, log_level="error") tracker.start() try: # Compute intensive code goes here @@ -167,7 +167,8 @@ depending on the configuration, but keep running the experiment. If you want to monitor small piece of code, like a model inference, you could use the task manager: -``` python +```python +# skip try: tracker = EmissionsTracker(project_name="bert_inference", measure_power_secs=10) tracker.start_task("load dataset") @@ -193,11 +194,11 @@ to interfere with the task measurement. The `Emissions tracker` also works as a context manager. -``` python +```python from codecarbon import EmissionsTracker -with EmissionsTracker() as tracker: - # Compute intensive training code goes here +with EmissionsTracker(save_to_file=False, log_level="error") as tracker: + _ = 1 + 1 # Compute intensive training code goes here ``` This mode is recommended when you want to monitor a specific block of @@ -209,12 +210,13 @@ In case the training code base is wrapped in a function, users can use the decorator `@track_emissions` within the function to enable tracking emissions of the training code. -``` python +```python from codecarbon import track_emissions -@track_emissions +@track_emissions(save_to_file=False, log_level="error") def training_loop(): # Compute intensive training code goes here + pass ``` This mode is recommended if you have a training function. @@ -239,9 +241,9 @@ can be found on Developers can use the `OfflineEmissionsTracker` object to track emissions as follows: -``` python +```python from codecarbon import OfflineEmissionsTracker -tracker = OfflineEmissionsTracker(country_iso_code="CAN") +tracker = OfflineEmissionsTracker(country_iso_code="CAN", save_to_file=False, log_level="error") tracker.start() # GPU intensive training code tracker.stop() @@ -251,11 +253,12 @@ tracker.stop() The `OfflineEmissionsTracker` also works as a context manager -``` python +```python from codecarbon import OfflineEmissionsTracker -with OfflineEmissionsTracker() as tracker: -# GPU intensive training code goes here +with OfflineEmissionsTracker(country_iso_code="CAN", save_to_file=False, log_level="error") as tracker: + # GPU intensive training code goes here + pass ``` ### Decorator @@ -270,7 +273,7 @@ parameters: ```python from codecarbon import track_emissions -@track_emissions(offline=True, country_iso_code="CAN") +@track_emissions(offline=True, country_iso_code="CAN", save_to_file=False, log_level="error") def training_loop(): # training code goes here pass @@ -334,7 +337,8 @@ CodeCarbon is structured so that you can configure it in a hierarchical manner: - script parameters will override environment variables if the same parameter is set in both: - ``` python + ```python + # skip EmissionsTracker( api_call_interval=4, save_to_api=True, @@ -343,7 +347,7 @@ CodeCarbon is structured so that you can configure it in a hierarchical manner: Yields attributes: -``` python +```python { "measure_power_secs": 10, # from ~/.codecarbon.config "save_to_file": True, # from ./.codecarbon.config (override ~/.codecarbon.config) @@ -382,7 +386,7 @@ export HTTPS_PROXY="http://0.0.0.0:0000" Or in your Python code: -``` python +```python import os os.environ["HTTPS_PROXY"] = "http://0.0.0.0:0000" diff --git a/docs/index.md b/docs/index.md index bb5346164..9222ba019 100644 --- a/docs/index.md +++ b/docs/index.md @@ -38,7 +38,7 @@ Only a few lines of code: ```python from codecarbon import EmissionsTracker -tracker = EmissionsTracker() +tracker = EmissionsTracker(save_to_file=False, log_level="error") tracker.start() # Your code here diff --git a/docs/logging/output.md b/docs/logging/output.md index 407662b74..0b531dd7f 100644 --- a/docs/logging/output.md +++ b/docs/logging/output.md @@ -63,6 +63,7 @@ docker-compose up Run your EmissionsTracker as usual, with `save_to_prometheus=True`: ```python +# skip tracker = OfflineEmissionsTracker( project_name="my_project", country_iso_code="USA", @@ -86,6 +87,7 @@ CodeCarbon exposes all its metrics with the suffix `codecarbon_`. Run your EmissionsTracker as usual, with `save_to_logfire=True`: ```python +# skip tracker = OfflineEmissionsTracker( project_name="my_project", country_iso_code="USA", diff --git a/docs/logging/to_logger.md b/docs/logging/to_logger.md index c4dadd5db..ca8136764 100644 --- a/docs/logging/to_logger.md +++ b/docs/logging/to_logger.md @@ -20,7 +20,8 @@ or cloud-based collector. ### Python logger -``` python +```python +# skip import logging # Create a dedicated logger (log name can be the CodeCarbon project name for example) @@ -40,7 +41,8 @@ my_logger = LoggerOutput(_logger, logging.INFO) ### Google Cloud Logging -``` python +```python +# skip import google.cloud.logging @@ -61,7 +63,8 @@ documentation](https://cloud.google.com/logging/docs/reference/libraries#setting Create an EmissionTracker saving output to the logger. Other save options are still usable and valid. -``` python +```python +# skip tracker = EmissionsTracker(save_to_logger=True, logging_logger=my_logger) tracker.start() # Your code here diff --git a/pyproject.toml b/pyproject.toml index e7664e572..e6fa13324 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -98,6 +98,8 @@ doc = [ "zensical", "mike", "mkdocstrings[python]>=0.26", + "mktestdocs", + "pytest", ] [project.optional-dependencies] @@ -143,7 +145,7 @@ test-coverage = "CODECARBON_ALLOW_MULTIPLE_RUNS=True pytest --cov --cov-report=x test-package-integ = "CODECARBON_ALLOW_MULTIPLE_RUNS=True python -m pytest -vv tests/" docs = "zensical build -f mkdocs.yml" docs-serve = "zensical serve -f mkdocs.yml" -docs-check-drift = "python scripts/check-docs-drift.py" +docs-check-drift = "pytest scripts/check-docs-drift.py -v" carbonboard = "python codecarbon/viz/carbonboard.py" [tool.bumpver] diff --git a/scripts/check-docs-drift.py b/scripts/check-docs-drift.py new file mode 100644 index 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Cian Cullinan Date: Fri, 20 Mar 2026 10:11:38 +0000 Subject: [PATCH 2/5] =?UTF-8?q?1.=20Moved=20check-docs-drift.py=20to=20tes?= =?UTF-8?q?ts/=20=E2=80=94=20the=20script=20is=20now=20at=20tests/check-do?= =?UTF-8?q?cs-drift.py=20and=20the=20CI=20workflow=20triggers=20on=20chang?= =?UTF-8?q?es=20to=20that=20path.?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 2. Replaced inline save_to_file=False/log_level="error" arguments with environment variables — CODECARBON_SAVE_TO_FILE=false and CODECARBON_LOG_LEVEL=error are now set at the top of the test script, so the doc examples themselves stay clean and uncluttered. 3. Reduced the number of skipped blocks — the task manager example in usage.md was skippable only because it was missing an import; adding from codecarbon import EmissionsTracker made it runnable. The remaining # skip blocks (TensorFlow examples, Comet integration, Prometheus/Logfire output) are unavoidable due to missing dependencies. Skip comments now explain why each block is excluded. --- docs/getting-started/api.md | 1 - docs/getting-started/comet.md | 2 +- docs/getting-started/examples.md | 12 +++++++++--- docs/getting-started/usage.md | 21 +++++++++++---------- docs/index.md | 2 +- pyproject.toml | 2 +- {scripts => tests}/check-docs-drift.py | 7 ++++++- 7 files changed, 29 insertions(+), 18 deletions(-) rename {scripts => tests}/check-docs-drift.py (72%) diff --git a/docs/getting-started/api.md b/docs/getting-started/api.md index c4e409e6c..9f454e84a 100644 --- a/docs/getting-started/api.md +++ b/docs/getting-started/api.md @@ -33,7 +33,6 @@ codecarbon monitor Or use the API in your code: ```python -# skip from codecarbon import track_emissions @track_emissions(save_to_api=True) diff --git a/docs/getting-started/comet.md b/docs/getting-started/comet.md index bd103c9b4..d55da2f36 100644 --- a/docs/getting-started/comet.md +++ b/docs/getting-started/comet.md @@ -25,7 +25,7 @@ In the example file, replace the placeholder code with your API key: ```python -# skip +# skip testing this with mkdoctests - would require making comet_ml a doc dependency which is overkill. experiment = Experiment(api_key="YOUR API KEY") ``` diff --git a/docs/getting-started/examples.md b/docs/getting-started/examples.md index 8ec2a692d..4962ca8d8 100644 --- a/docs/getting-started/examples.md +++ b/docs/getting-started/examples.md @@ -14,7 +14,9 @@ But you can't get them in your code, see the Context Manager section below for that. ```python -# skip +# skip mktestdocs testing because a) we would need to add the large tensorflow package as a doc +# dependency, which would slow down CI setup time, b) these snippets do quiet a lot of work which +# would slow things down further. import tensorflow as tf from codecarbon import track_emissions @@ -51,7 +53,9 @@ We think this is the best way to use CodeCarbon. Still only two lines of code, and you can get the emissions in your code. ```python -# skip +# skip mktestdocs testing because a) we would need to add the large tensorflow package as a doc +# dependency, which would slow down CI setup time, b) these snippets do quiet a lot of work which +# would slow things down further. import tensorflow as tf from codecarbon import EmissionsTracker @@ -98,7 +102,9 @@ background after your computation code has crashed, so your program will never finish. ```python -# skip +# skip mktestdocs testing because a) we would need to add the large tensorflow package as a doc +# dependency, which would slow down CI setup time, b) these snippets do quiet a lot of work which +# would slow things down further. import tensorflow as tf from codecarbon import EmissionsTracker diff --git a/docs/getting-started/usage.md b/docs/getting-started/usage.md index 3b2029979..d04112cad 100644 --- a/docs/getting-started/usage.md +++ b/docs/getting-started/usage.md @@ -147,7 +147,7 @@ tracking of the compute section. ```python from codecarbon import EmissionsTracker -tracker = EmissionsTracker(save_to_file=False, log_level="error") +tracker = EmissionsTracker() tracker.start() try: # Compute intensive code goes here @@ -168,14 +168,15 @@ If you want to monitor small piece of code, like a model inference, you could use the task manager: ```python -# skip +from codecarbon import EmissionsTracker + try: tracker = EmissionsTracker(project_name="bert_inference", measure_power_secs=10) tracker.start_task("load dataset") - dataset = load_dataset("imdb", split="test") + # do some data loading imdb_emissions = tracker.stop_task() tracker.start_task("build model") - model = build_model() + # build some model model_emissions = tracker.stop_task() finally: _ = tracker.stop() @@ -197,7 +198,7 @@ The `Emissions tracker` also works as a context manager. ```python from codecarbon import EmissionsTracker -with EmissionsTracker(save_to_file=False, log_level="error") as tracker: +with EmissionsTracker() as tracker: _ = 1 + 1 # Compute intensive training code goes here ``` @@ -213,7 +214,7 @@ emissions of the training code. ```python from codecarbon import track_emissions -@track_emissions(save_to_file=False, log_level="error") +@track_emissions def training_loop(): # Compute intensive training code goes here pass @@ -243,7 +244,7 @@ emissions as follows: ```python from codecarbon import OfflineEmissionsTracker -tracker = OfflineEmissionsTracker(country_iso_code="CAN", save_to_file=False, log_level="error") +tracker = OfflineEmissionsTracker(country_iso_code="CAN") tracker.start() # GPU intensive training code tracker.stop() @@ -256,7 +257,7 @@ The `OfflineEmissionsTracker` also works as a context manager ```python from codecarbon import OfflineEmissionsTracker -with OfflineEmissionsTracker(country_iso_code="CAN", save_to_file=False, log_level="error") as tracker: +with OfflineEmissionsTracker(country_iso_code="CAN") as tracker: # GPU intensive training code goes here pass ``` @@ -273,7 +274,7 @@ parameters: ```python from codecarbon import track_emissions -@track_emissions(offline=True, country_iso_code="CAN", save_to_file=False, log_level="error") +@track_emissions(offline=True, country_iso_code="CAN") def training_loop(): # training code goes here pass @@ -338,7 +339,7 @@ CodeCarbon is structured so that you can configure it in a hierarchical manner: parameter is set in both: ```python - # skip + # skip this block for mktestdocs testing because it tries to call APIs EmissionsTracker( api_call_interval=4, save_to_api=True, diff --git a/docs/index.md b/docs/index.md index 9222ba019..bb5346164 100644 --- a/docs/index.md +++ b/docs/index.md @@ -38,7 +38,7 @@ Only a few lines of code: ```python from codecarbon import EmissionsTracker -tracker = EmissionsTracker(save_to_file=False, log_level="error") +tracker = EmissionsTracker() tracker.start() # Your code here diff --git a/pyproject.toml b/pyproject.toml index e6fa13324..33bd3880a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -145,7 +145,7 @@ test-coverage = "CODECARBON_ALLOW_MULTIPLE_RUNS=True pytest --cov --cov-report=x test-package-integ = "CODECARBON_ALLOW_MULTIPLE_RUNS=True python -m pytest -vv tests/" docs = "zensical build -f mkdocs.yml" docs-serve = "zensical serve -f mkdocs.yml" -docs-check-drift = "pytest scripts/check-docs-drift.py -v" +docs-check-drift = "pytest tests/check-docs-drift.py -v" carbonboard = "python codecarbon/viz/carbonboard.py" [tool.bumpver] diff --git a/scripts/check-docs-drift.py b/tests/check-docs-drift.py similarity index 72% rename from scripts/check-docs-drift.py rename to tests/check-docs-drift.py index 9cf98daa2..185d8cd18 100644 --- a/scripts/check-docs-drift.py +++ b/tests/check-docs-drift.py @@ -4,15 +4,20 @@ Blocks whose first line is '# skip' are intentionally excluded (e.g. examples requiring external services or heavy dependencies). -Run with: pytest scripts/check-docs-drift.py -v +Run with: pytest tests/check-docs-drift.py -v """ +import os import pathlib import pytest from mktestdocs import grab_code_blocks from mktestdocs.__main__ import exec_python +# Suppress CSV output and log noise when tracker examples run in CI. +os.environ["CODECARBON_SAVE_TO_FILE"] = "false" +os.environ["CODECARBON_LOG_LEVEL"] = "error" + @pytest.mark.parametrize("fpath", pathlib.Path("docs").glob("**/*.md"), ids=str) def test_doc_file(fpath): From df88e78178aaa674dafad856323478b6cac5a735 Mon Sep 17 00:00:00 2001 From: Cian Cullinan Date: Fri, 20 Mar 2026 15:35:56 +0000 Subject: [PATCH 3/5] docs: remove save_to_file and log_level args from api.md example, now set via env vars in test script --- docs/getting-started/api.md | 2 -- 1 file changed, 2 deletions(-) diff --git a/docs/getting-started/api.md b/docs/getting-started/api.md index 9f454e84a..50ff49185 100644 --- a/docs/getting-started/api.md +++ b/docs/getting-started/api.md @@ -68,8 +68,6 @@ from codecarbon import track_emissions api_call_interval=4, experiment_id="your experiment id", save_to_api=True, - save_to_file=False, - log_level="error", ) def train_model(): ... From e28687df5d5838dbff57d52e75ab41453943caa7 Mon Sep 17 00:00:00 2001 From: Cian Cullinan Date: Fri, 20 Mar 2026 15:55:48 +0000 Subject: [PATCH 4/5] =?UTF-8?q?docs:=20fix=20broken=20python=20snippets=20?= =?UTF-8?q?across=20docs=20=E2=80=94=20correct=20imports,=20casing,=20and?= =?UTF-8?q?=20skip=20pseudocode=20blocks?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- docs/introduction/power_estimation.md | 5 +++++ docs/logging/output.md | 4 ++-- docs/logging/to_logger.md | 6 +++--- 3 files changed, 10 insertions(+), 5 deletions(-) diff --git a/docs/introduction/power_estimation.md b/docs/introduction/power_estimation.md index b56880429..e2d929cdb 100644 --- a/docs/introduction/power_estimation.md +++ b/docs/introduction/power_estimation.md @@ -22,6 +22,10 @@ Instead of relying solely on instantaneous power sensors (which might not repres The `Power.from_energies_and_delay` method handles this operation: ```python +from codecarbon.core import units +energy_now= units.Energy(kWh=1.0) +energy_previous = units.Energy(kWh=0.5) +delay = units.Time(seconds=3600.0) delta_energy_kwh = float(abs(energy_now.kWh - energy_previous.kWh)) power_kw = delta_energy_kwh / delay.hours ``` @@ -48,6 +52,7 @@ For recording the power, a running sum is maintained: At the end of an execution task (or when data is exported), the true average Power is formulated: ```python +# skip mktestdocs testing - illustrative pseudocode using internal variables avg_gpu_power = _gpu_power_sum / _power_measurement_count ``` This smoothing process prevents singular short measurement anomalies from skewing the final aggregated power values published in `EmissionsData`. diff --git a/docs/logging/output.md b/docs/logging/output.md index 0b531dd7f..31ab5b236 100644 --- a/docs/logging/output.md +++ b/docs/logging/output.md @@ -63,7 +63,7 @@ docker-compose up Run your EmissionsTracker as usual, with `save_to_prometheus=True`: ```python -# skip +# skip mktestdocs testing because this would try to save to prometheus tracker = OfflineEmissionsTracker( project_name="my_project", country_iso_code="USA", @@ -87,7 +87,7 @@ CodeCarbon exposes all its metrics with the suffix `codecarbon_`. Run your EmissionsTracker as usual, with `save_to_logfire=True`: ```python -# skip +# skip mktestdocs testing because this would try to save to logfire tracker = OfflineEmissionsTracker( project_name="my_project", country_iso_code="USA", diff --git a/docs/logging/to_logger.md b/docs/logging/to_logger.md index ca8136764..2c29b0209 100644 --- a/docs/logging/to_logger.md +++ b/docs/logging/to_logger.md @@ -21,7 +21,7 @@ or cloud-based collector. ### Python logger ```python -# skip +# skip mktestdocs testing because this relies on a separate logger import logging # Create a dedicated logger (log name can be the CodeCarbon project name for example) @@ -42,7 +42,7 @@ my_logger = LoggerOutput(_logger, logging.INFO) ### Google Cloud Logging ```python -# skip +# skip mktestdocs testing because this requires cloud logging import google.cloud.logging @@ -64,7 +64,7 @@ Create an EmissionTracker saving output to the logger. Other save options are still usable and valid. ```python -# skip +# skip mktestdocs testing because this requires creation of a logger tracker = EmissionsTracker(save_to_logger=True, logging_logger=my_logger) tracker.start() # Your code here From 987ecdf1aef04f0106e525cadd709251d24c8b95 Mon Sep 17 00:00:00 2001 From: cianc Date: Sat, 21 Mar 2026 11:18:31 +0000 Subject: [PATCH 5/5] Apply suggestions from code review Clean up the #skip comments for some python blocks Co-authored-by: David Berenstein --- docs/getting-started/examples.md | 6 +++--- docs/introduction/power_estimation.md | 3 ++- docs/logging/output.md | 4 ++-- docs/logging/to_logger.md | 6 +++--- 4 files changed, 10 insertions(+), 9 deletions(-) diff --git a/docs/getting-started/examples.md b/docs/getting-started/examples.md index 4962ca8d8..2751d48c0 100644 --- a/docs/getting-started/examples.md +++ b/docs/getting-started/examples.md @@ -14,7 +14,7 @@ But you can't get them in your code, see the Context Manager section below for that. ```python -# skip mktestdocs testing because a) we would need to add the large tensorflow package as a doc +# skip mktestdocs # dependency, which would slow down CI setup time, b) these snippets do quiet a lot of work which # would slow things down further. import tensorflow as tf @@ -53,7 +53,7 @@ We think this is the best way to use CodeCarbon. Still only two lines of code, and you can get the emissions in your code. ```python -# skip mktestdocs testing because a) we would need to add the large tensorflow package as a doc +# skip mktestdocs # dependency, which would slow down CI setup time, b) these snippets do quiet a lot of work which # would slow things down further. import tensorflow as tf @@ -102,7 +102,7 @@ background after your computation code has crashed, so your program will never finish. ```python -# skip mktestdocs testing because a) we would need to add the large tensorflow package as a doc +# skip mktestdocs # dependency, which would slow down CI setup time, b) these snippets do quiet a lot of work which # would slow things down further. import tensorflow as tf diff --git a/docs/introduction/power_estimation.md b/docs/introduction/power_estimation.md index e2d929cdb..38ff3fae7 100644 --- a/docs/introduction/power_estimation.md +++ b/docs/introduction/power_estimation.md @@ -23,7 +23,8 @@ The `Power.from_energies_and_delay` method handles this operation: ```python from codecarbon.core import units -energy_now= units.Energy(kWh=1.0) + +energy_now = units.Energy(kWh=1.0) energy_previous = units.Energy(kWh=0.5) delay = units.Time(seconds=3600.0) delta_energy_kwh = float(abs(energy_now.kWh - energy_previous.kWh)) diff --git a/docs/logging/output.md b/docs/logging/output.md index 31ab5b236..0d1ba085e 100644 --- a/docs/logging/output.md +++ b/docs/logging/output.md @@ -63,7 +63,7 @@ docker-compose up Run your EmissionsTracker as usual, with `save_to_prometheus=True`: ```python -# skip mktestdocs testing because this would try to save to prometheus +# skip mktestdocs tracker = OfflineEmissionsTracker( project_name="my_project", country_iso_code="USA", @@ -87,7 +87,7 @@ CodeCarbon exposes all its metrics with the suffix `codecarbon_`. Run your EmissionsTracker as usual, with `save_to_logfire=True`: ```python -# skip mktestdocs testing because this would try to save to logfire +# skip mktestdocs tracker = OfflineEmissionsTracker( project_name="my_project", country_iso_code="USA", diff --git a/docs/logging/to_logger.md b/docs/logging/to_logger.md index 2c29b0209..87161ecd5 100644 --- a/docs/logging/to_logger.md +++ b/docs/logging/to_logger.md @@ -21,7 +21,7 @@ or cloud-based collector. ### Python logger ```python -# skip mktestdocs testing because this relies on a separate logger +# skip mktestdocs import logging # Create a dedicated logger (log name can be the CodeCarbon project name for example) @@ -42,7 +42,7 @@ my_logger = LoggerOutput(_logger, logging.INFO) ### Google Cloud Logging ```python -# skip mktestdocs testing because this requires cloud logging +# skip mktestdocs import google.cloud.logging @@ -64,7 +64,7 @@ Create an EmissionTracker saving output to the logger. Other save options are still usable and valid. ```python -# skip mktestdocs testing because this requires creation of a logger +# skip mktestdocs tracker = EmissionsTracker(save_to_logger=True, logging_logger=my_logger) tracker.start() # Your code here