API Reference#

CLI#

tracarbon.cli.add_containers_generator(location)#

Add metric generators for containers if available

Param:

country for the metric generators of containers

Returns:

the list of metric generators for containers

Parameters:

location (Country) –

Return type:

List[MetricGenerator]

tracarbon.cli.get_exporter(exporter_name, metric_generators, tracarbon_builder=None)#

Get the exporter based on the name with its metrics.

Parameters:

  • exporter_name (str) – the name of the exporter

  • metric_generators (List[MetricGenerator]) – the list of the metrics generators

  • tracarbon_builder (TracarbonBuilder | None) – the configuration of Tracarbon

Returns:

the configured exporter

Return type:

Exporter

tracarbon.cli.list_exporters(displayed=True)#

List all the exporters available.

Parameters:

displayed (bool) –

Return type:

List[str]

tracarbon.cli.run(exporter_name='Stdout', country_code_alpha_iso_2=None, containers=False)#

Run Tracarbon.

Parameters:

  • exporter_name (str) –

  • country_code_alpha_iso_2 (str | None) –

  • containers (bool) –

Return type:

None

tracarbon.cli.run_metrics(exporter_name, country_code_alpha_iso_2=None, running=True, containers=False)#

Run the metrics with the selected exporter

Parameters:

  • country_code_alpha_iso_2 (str | None) – the alpha iso2 country name where it’s running

  • running (bool) – keep running the metrics

  • exporter_name (str) – the exporter name to run

  • containers (bool) – activate the containers feature

Returns:

Return type:

None

Configuration#

class tracarbon.conf.TracarbonConfiguration(metric_prefix_name='tracarbon', interval_in_seconds=60, log_level='INFO', co2signal_api_key='', co2signal_url='https://api.co2signal.com/v1/latest?countryCode=', env_file_path=None)#

The Configuration of Tracarbon.

Parameters:

  • metric_prefix_name (str) –

  • interval_in_seconds (int) –

  • log_level (str) –

  • co2signal_api_key (str) –

  • co2signal_url (str) –

  • env_file_path (str | None) –

tracarbon.conf.logger_configuration(level)#

Configure the logger format.

Parameters:

level (str) –

Return type:

None

Builder#

class tracarbon.builder.Tracarbon(configuration, exporter, location)#

Tracarbon instance.

Parameters:
start()#

Start Tracarbon.

Return type:

None

stop()#

Stop Tracarbon.

Return type:

None

class tracarbon.builder.TracarbonBuilder(*, exporter=None, location=None, configuration=TracarbonConfiguration(metric_prefix_name='test', log_level='INFO', interval_in_seconds=1, co2signal_api_key='', co2signal_url='https://api.co2signal.com/v1/latest?countryCode='))#

Tracarbon builder for building Tracarbon.

Parameters:
build()#

Build Tracarbon with its configuration.

Return type:

Tracarbon

with_exporter(exporter)#

Add an exporter to the builder. :param exporter: the exporter :return:

Parameters:

exporter (Exporter) –

Return type:

TracarbonBuilder

with_location(location)#

Add a location to the builder. :param location: the location :return:

Parameters:

location (Location) –

Return type:

TracarbonBuilder

class tracarbon.builder.TracarbonReport(*, start_time=None, end_time=None, metric_report={})#

Tracarbon report to store running statistics.

Parameters:

  • start_time (datetime | None) –

  • end_time (datetime | None) –

  • metric_report (Dict[str, MetricReport]) –

class Config#

Pydantic configuration.

Hardware#

class tracarbon.hardwares.hardware.HardwareInfo#

Hardware information.

static get_cpu_usage(interval=None)#

Get the CPU load percentage usage.

Parameters:

interval (float | None) – the minimal interval to wait between two consecutive measures

Returns:

the CPU load in %

Return type:

float

classmethod get_gpu_power_usage()#

Get the GPU power usage in watts.

Returns:

the gpu power usage in W

Return type:

float

static get_memory_total()#

Get the total physical memory available.

Returns:

the total physical memory available

Return type:

float

static get_memory_usage()#

Get the local memory usage.

Returns:

the memory used in percentage

Return type:

float

static get_number_of_cores(logical=True)#

Get the number of CPU’s cores.

Param:

logical: core as logical included

Returns:

the number of CPU’s cores

Parameters:

logical (bool) –

Return type:

int

static get_platform()#

Get the platform name.

Returns:

the name of the platform

Return type:

str

class tracarbon.hardwares.containers.Container(*, name, cpu_usage, memory_usage)#

Container of Kubernetes.

Parameters:

  • name (str) –

  • cpu_usage (float) –

  • memory_usage (float) –

class tracarbon.hardwares.containers.Kubernetes(*, namespaces=None, api, group='metrics.k8s.io', version='v1beta1')#

Kubernetes client.

Parameters:

  • namespaces (List[str] | None) –

  • api (CustomObjectsApi) –

  • group (str) –

  • version (str) –

class Config#

Pydantic configuration.

get_pods_usage(namespace=None)#

Get Pods with usage.

Param:

namespaces: list of namespaces for getting the pods.

Returns:

an iterator of the pods

Parameters:

namespace (str | None) –

Return type:

Iterator[Pod]

refresh_namespaces()#

Refresh the names of the namespaces.

Return type:

None

class tracarbon.hardwares.containers.Pod(*, name, namespace, containers)#

Pod for Kubernetes.

Parameters:

  • name (str) –

  • namespace (str) –

  • containers (List[Container]) –

class tracarbon.hardwares.energy.EnergyUsage(*, host_energy_usage=0.0, cpu_energy_usage=None, memory_energy_usage=None, gpu_energy_usage=None, unit=EnergyUsageUnit.WATT)#

Energy report in watts.

Parameters:

  • host_energy_usage (float) –

  • cpu_energy_usage (float | None) –

  • memory_energy_usage (float | None) –

  • gpu_energy_usage (float | None) –

  • unit (EnergyUsageUnit) –

convert_unit(unit)#

Convert the EnergyUsage with the right energy usage type

Param:

unit: the energy usage unit for the conversion

Parameters:

unit (EnergyUsageUnit) –

Return type:

None

get_energy_usage_on_type(usage_type)#

Get the energy usage based on the type.

Param:

usage_type: the type of energy to return

Returns:

the energy of the type

Parameters:

usage_type (UsageType) –

Return type:

float | None

class tracarbon.hardwares.energy.EnergyUsageUnit(value)#

Energy usage unit.

class tracarbon.hardwares.energy.Power#

Power utility

static co2g_from_watts_hour(watts_hour, co2g_per_kwh)#

Calculate the CO2g generated using watt-hours and the CO2g/kwh.

Returns:

the CO2g generated by the energy consumption

Parameters:

  • watts_hour (float) –

  • co2g_per_kwh (float) –

Return type:

float

static watts_from_microjoules(uj)#

Get watts from microjoules.

Param:

uj: energy in microjoules

Returns:

watts

Parameters:

uj (float) –

Return type:

float

static watts_to_watt_hours(watts, previous_energy_measurement_time=None)#

Convert current watts to watt-hours W/h using the previous energy measurement.

Parameters:

  • watts (float) – the wattage in W

  • previous_energy_measurement_time (datetime | None) – the previous measurement time

Returns:

watt-hours W/h

Return type:

float

class tracarbon.hardwares.energy.UsageType(value)#

Usage type.

class tracarbon.hardwares.gpu.GPUInfo#

GPU information.

classmethod get_gpu_power_usage()#

Get the GPU power usage in watts.

Returns:

the gpu power usage in W

Return type:

float

class tracarbon.hardwares.gpu.NvidiaGPU#

Nvidia GPU information.

classmethod get_gpu_power_usage()#

Get the GPU power usage in watts.

Returns:

the gpu power usage in W

Return type:

float

classmethod launch_shell_command()#

Launch a shell command.

Returns:

result of the shell command and returncode

Return type:

Tuple[bytes, int]

class tracarbon.hardwares.rapl.RAPL(*, path='/sys/class/powercap/intel-rapl', rapl_separator=':', rapl_results={}, file_list=[])#

RAPL to read energy consumption with Intel hardware

Parameters:

  • path (str) –

  • rapl_separator (str) –

  • rapl_results (Dict[str, RAPLResult]) –

  • file_list (List[str]) –

async get_energy_report()#

Get the energy report based on RAPL.

Returns:

the energy usage report of the RAPL measurements

Return type:

EnergyUsage

get_rapl_files_list()#

Get the list of files containing RAPL energy measurements. Raise error if it’s the hardware is not compatible with RAPL.

Returns:

the list of files path containing RAPL energy measurements.

Return type:

None

async get_rapl_power_usage()#

Read the RAPL energy measurements files on paths provided.

If energy_uj is greater than max_energy_range_uj, the value is set to 0. In this case, max_energy_range_uj contanst must be returned.

Returns:

a list of the RAPL results.

Return type:

List[RAPLResult]

is_rapl_compatible()#

Check if the path of the hardware for reading RAPL energy measurements exists. :return: if the RAPL files path exists

Return type:

bool

class tracarbon.hardwares.rapl.RAPLResult(*, name, energy_uj, max_energy_uj, timestamp)#

RAPL result after reading the RAPL registry.

Parameters:

  • name (str) –

  • energy_uj (float) –

  • max_energy_uj (float) –

  • timestamp (datetime) –

class tracarbon.hardwares.sensors.AWSEC2EnergyConsumption(instance_type, *, init=False, cpu_idle, cpu_at_10, cpu_at_50, cpu_at_100, memory_idle, memory_at_10, memory_at_50, memory_at_100, has_gpu, delta_full_machine)#

The AWS EC2 Energy Consumption.

Parameters:

  • instance_type (str) –

  • init (bool) –

  • cpu_idle (float) –

  • cpu_at_10 (float) –

  • cpu_at_50 (float) –

  • cpu_at_100 (float) –

  • memory_idle (float) –

  • memory_at_10 (float) –

  • memory_at_50 (float) –

  • memory_at_100 (float) –

  • has_gpu (bool) –

  • delta_full_machine (float) –

async get_energy_usage()#

Run the sensor and generate energy usage.

Returns:

the generated energy usage.

Return type:

EnergyUsage

class tracarbon.hardwares.sensors.EnergyConsumption(*, init=False)#

A sensor to calculate the energy consumption.

Parameters:

init (bool) –

static from_platform(platform='Linux')#

Get the energy consumption from the local platform or cloud provider.

Returns:

the Energy Consumption

Parameters:

platform (str) –

Return type:

EnergyConsumption

abstract async get_energy_usage()#

Run the sensor and generate energy usage.

Returns:

the generated energy usage.

Return type:

EnergyUsage

class tracarbon.hardwares.sensors.LinuxEnergyConsumption(*, init=False, rapl=RAPL(path='/sys/class/powercap/intel-rapl', rapl_separator=':', rapl_results={}, file_list=[]))#

Energy Consumption of a Linux device: fvaleye/tracarbon#1

Parameters:

  • init (bool) –

  • rapl (RAPL) –

async get_energy_usage()#

Run the sensor and generate energy usage.

Returns:

the generated energy usage.

Return type:

EnergyUsage

class tracarbon.hardwares.sensors.MacEnergyConsumption(*, init=False, shell_command='/usr/sbin/ioreg -rw0 -c AppleSmartBattery | grep BatteryData | grep -o \'"AdapterPower"=[0-9]*\' | cut -c 16- | xargs -I %  lldb --batch -o "print/f %" | grep -o \'$0 = [0-9.]*\' | cut -c 6-')#

Energy Consumption of the Mac, working only if it’s plugged into plugged-in wall adapter, in watts.

Parameters:

  • init (bool) –

  • shell_command (str) –

async get_energy_usage()#

Run the sensor and generate energy usage.

Returns:

the generated energy usage.

Return type:

EnergyUsage

class tracarbon.hardwares.sensors.Sensor#

The Sensor contract.

class Config#

Pydantic configuration.

abstract async get_energy_usage()#

Run the sensor and generate energy usage in watt.

Returns:

the generated energy usage.

Return type:

EnergyUsage

class tracarbon.hardwares.sensors.WindowsEnergyConsumption(*, init=False)#

Energy Consumption of a Windows device: fvaleye/tracarbon#2

Parameters:

init (bool) –

async get_energy_usage()#

Run the sensor and generate energy usage.

Returns:

the generated energy usage.

Return type:

EnergyUsage

Exporters#

class tracarbon.exporters.exporter.Exporter(*, metric_generators, event=None, stopped=False, metric_prefix_name=None, metric_report={})#

The Exporter interface.

Parameters:

  • metric_generators (List[MetricGenerator]) –

  • event (Event | None) –

  • stopped (bool) –

  • metric_prefix_name (str | None) –

  • metric_report (Dict[str, MetricReport]) –

class Config#

Pydantic configuration.

async add_metric_to_report(metric, value)#

Add the generated metric to the report asynchronously.

Parameters:

  • metric (Metric) – the metric to add

  • value (float) – the metric value to add

Returns:

Return type:

MetricReport

abstract classmethod get_name()#

Get the name of the exporter.

Returns:

the Exporter’s name

Return type:

str

abstract async launch(metric_generator)#

Launch the exporter. Add the metric generator to the metric reporter.

Parameters:

metric_generator (MetricGenerator) – the metric generator

Return type:

None

start(interval_in_seconds)#

Start the exporter and a dedicated timer configured with the configured timeout.

Param:

interval_in_seconds: the interval for the timer

Parameters:

interval_in_seconds (int) –

Return type:

None

stop()#

Stop the explorer and the associated timer.

Returns:

Return type:

None

class tracarbon.exporters.exporter.Metric(*, name, value, tags=[])#

Global metric to use for the exporters.

Parameters:

  • name (str) –

  • value (Callable[[], Awaitable[float]]) –

  • tags (List[Tag]) –

format_name(metric_prefix_name=None, separator='.')#

Format the name of the metric with a prefix and separator.

Parameters:

  • metric_prefix_name (str | None) – the prefix to insert before the separator and the name.

  • separator (str) – the separator to use between the prefix and the name.

Return type:

str

format_tags(separator=':')#

Format tags with a separator.

Parameters:

separator (str) – the separator to insert between the key and value.

Return type:

List[str]

class tracarbon.exporters.exporter.MetricGenerator(*, metrics, platform='Linux', location=None)#

MetricGenerator generates metrics for the Exporter.

Parameters:

  • metrics (List[Metric]) –

  • platform (str) –

  • location (Location | None) –

async generate()#

Generate a metric.

Return type:

AsyncGenerator[Metric, None]

class tracarbon.exporters.exporter.MetricReport(*, exporter_name, metric, average_interval_in_seconds=None, last_report_time=None, total=0.0, average=0.0, minimum=1.7976931348623157e+308, maximum=0.0, call_count=0)#

MetricReport is a report of the generated metrics.

Parameters:

  • exporter_name (str) –

  • metric (Metric) –

  • average_interval_in_seconds (float | None) –

  • last_report_time (datetime | None) –

  • total (float) –

  • average (float) –

  • minimum (float) –

  • maximum (float) –

  • call_count (int) –

class Config#

Pydantic configuration.

class tracarbon.exporters.exporter.Tag(*, key, value)#

Tag for a metric.

Parameters:

  • key (str) –

  • value (str) –

class tracarbon.exporters.stdout.StdoutExporter(*, metric_generators, event=None, stopped=False, metric_prefix_name=None, metric_report={})#

Print the metrics to Stdout.

Parameters:

  • metric_generators (List[MetricGenerator]) –

  • event (Event | None) –

  • stopped (bool) –

  • metric_prefix_name (str | None) –

  • metric_report (Dict[str, MetricReport]) –

classmethod get_name()#

Get the name of the exporter.

Returns:

the Exporter’s name

Return type:

str

async launch(metric_generator)#

Launch the Stdout exporter with the metrics.

Parameters:

metric_generator (MetricGenerator) – the metric generator

Return type:

None

class tracarbon.exporters.datadog_exporter.DatadogExporter(*, metric_generators, event=None, stopped=False, metric_prefix_name=None, metric_report={}, api_key=None, app_key=None, stats=None, disable_buffering=False, datadog_flush_interval=10)#

Datadog exporter for the metrics.

Parameters:

  • metric_generators (List[MetricGenerator]) –

  • event (Event | None) –

  • stopped (bool) –

  • metric_prefix_name (str | None) –

  • metric_report (Dict[str, MetricReport]) –

  • api_key (str | None) –

  • app_key (str | None) –

  • stats (ThreadStats | None) –

  • disable_buffering (bool) –

  • datadog_flush_interval (int) –

classmethod get_name()#

Get the name of the exporter.

Returns:

the Exporter’s name

Return type:

str

async launch(metric_generator)#

Launch the Datadog exporter with the metrics.

Parameters:

metric_generator (MetricGenerator) – the metric generators

Returns:

Return type:

None

class tracarbon.exporters.json_exporter.JSONExporter(*, metric_generators, event=None, stopped=False, metric_prefix_name=None, metric_report={}, path='tracarbon_export_13_11_2024.json', indent=4)#

Write the metrics to a local JSON file.

Parameters:

  • metric_generators (List[MetricGenerator]) –

  • event (Event | None) –

  • stopped (bool) –

  • metric_prefix_name (str | None) –

  • metric_report (Dict[str, MetricReport]) –

  • path (str) –

  • indent (int) –

flush()#

Flush the file and add the closing bracket.

Return type:

None

classmethod get_name()#

Get the name of the exporter.

Returns:

the Exporter’s name

Return type:

str

async launch(metric_generator)#

Launch the Stdout exporter with the metrics.

Parameters:

metric_generator (MetricGenerator) – the metric generator

Return type:

None

class tracarbon.exporters.prometheus_exporter.PrometheusExporter(*, metric_generators, event=None, stopped=False, metric_prefix_name=None, metric_report={}, prometheus_metrics={}, address=None, port=None)#

Send the metrics to Prometheus by running an HTTP server for the metrics exposure.

Parameters:

  • metric_generators (List[MetricGenerator]) –

  • event (Event | None) –

  • stopped (bool) –

  • metric_prefix_name (str | None) –

  • metric_report (Dict[str, MetricReport]) –

  • prometheus_metrics (Dict[str, Gauge]) –

  • address (str | None) –

  • port (int | None) –

classmethod get_name()#

Get the name of the exporter.

Returns:

the Exporter’s name

Return type:

str

async launch(metric_generator)#

Launch the Prometheus exporter with the metrics.

Parameters:

metric_generator (MetricGenerator) – the metric generator

Return type:

None

Emissions#

class tracarbon.emissions.carbon_emissions.CarbonEmission(*, location, energy_consumption, previous_energy_consumption_time=None)#

Carbon Metric sensor in watts per second to calculate the CO2g/kwh emitted.

Parameters:
async get_co2_usage()#

Run the Carbon Emission sensor and get the carbon emission generated.

Returns:

the carbon usage.

Return type:

CarbonUsage

async get_energy_usage()#

Generate energy usage.

Returns:

the generated energy usage.

Return type:

EnergyUsage

class tracarbon.emissions.carbon_emissions.CarbonUsage(*, host_carbon_usage=0.0, cpu_carbon_usage=None, memory_carbon_usage=None, gpu_carbon_usage=None, unit=CarbonUsageUnit.CO2_G)#

Carbon Usage of the different types.

Parameters:

  • host_carbon_usage (float) –

  • cpu_carbon_usage (float | None) –

  • memory_carbon_usage (float | None) –

  • gpu_carbon_usage (float | None) –

  • unit (CarbonUsageUnit) –

convert_unit(unit)#

Convert the carbon usage with the right carbon usage type.

Param:

unit: the carbon usage unit for the conversion

Parameters:

unit (CarbonUsageUnit) –

Return type:

None

get_carbon_usage_on_type(usage_type)#

Get the carbon usage based on the type.

Param:

usage_type: the type of energy to return

Returns:

the carbon of the type

Parameters:

usage_type (UsageType) –

Return type:

float | None

class tracarbon.emissions.carbon_emissions.CarbonUsageUnit(value)#

Carbon usage unit.

Locations#

class tracarbon.locations.location.CarbonIntensitySource(value)#

An enumeration.

class tracarbon.locations.location.Location(*, name, co2g_kwh_source=CarbonIntensitySource.FILE, co2signal_api_key=None, co2signal_url=None, co2g_kwh=0.0)#

Generic Location.

Parameters:

  • name (str) –

  • co2g_kwh_source (CarbonIntensitySource) –

  • co2signal_api_key (str | None) –

  • co2signal_url (str | None) –

  • co2g_kwh (float) –

abstract async get_latest_co2g_kwh()#

Get the latest co2g_kwh for France.

Returns:

the latest co2g_kwh

Return type:

float

async classmethod request(url, headers=None)#

Launch an async request.

Parameters:

  • url (str) – url to request

  • headers (Dict[str, str] | None) – headers to add to the request

Returns:

the response

Return type:

Dict[str, Any]

class tracarbon.locations.country.AWSLocation(region_name, *, name, co2g_kwh_source=CarbonIntensitySource.FILE, co2signal_api_key=None, co2signal_url=None, co2g_kwh=0.0)#

AWS Location.

Parameters:

  • region_name (str) –

  • name (str) –

  • co2g_kwh_source (CarbonIntensitySource) –

  • co2signal_api_key (str | None) –

  • co2signal_url (str | None) –

  • co2g_kwh (float) –

async get_co2g_kwh()#

Get the Co2g per kwh.

Returns:

the co2g/kwh value

Return type:

float

async get_latest_co2g_kwh()#

Get the latest co2g_kwh for AWS.

Returns:

the latest co2g_kwh

Return type:

float

class tracarbon.locations.country.Country(*, name, co2g_kwh_source=CarbonIntensitySource.FILE, co2signal_api_key=None, co2signal_url=None, co2g_kwh=0.0)#

Country definition.

Parameters:

  • name (str) –

  • co2g_kwh_source (CarbonIntensitySource) –

  • co2signal_api_key (str | None) –

  • co2signal_url (str | None) –

  • co2g_kwh (float) –

classmethod from_eu_file(country_code_alpha_iso_2)#

Get the country from the file.

Parameters:

country_code_alpha_iso_2 (str) – the alpha_iso_2 name of the country

Returns:

Return type:

Country

classmethod get_current_country(url='http://ipinfo.io/json', timeout=300)#

Get the client’s country using an internet access.

Parameters:

  • url (str) – the url to fetch the country from IP

  • timeout (int) – the timeout for the request

Returns:

the client’s country alpha_iso_2 name.

Return type:

str

async get_latest_co2g_kwh()#

Get the latest CO2g_kwh for the Location from https://www.co2signal.com/.

Returns:

the latest CO2g_kwh

Return type:

float

classmethod get_location(co2signal_api_key=None, co2signal_url=None, country_code_alpha_iso_2=None)#

Get the current location automatically: on cloud provider or a country.

Parameters:

  • country_code_alpha_iso_2 (str | None) – the alpha iso 2 country name.

  • co2signal_api_key (str | None) – api key for fetching CO2 Signal API.

  • co2signal_url (str | None) – api url for fetching CO2 Signal API endpoint.

Returns:

the country

Return type:

Country

Exceptions#

exception tracarbon.exceptions.AWSSensorException#

Error in the AWS Sensor Error.

exception tracarbon.exceptions.CO2SignalAPIKeyIsMissing#

The C02 Signal API key is missing.

exception tracarbon.exceptions.CloudProviderRegionIsMissing#

The region of the cloud provider is missing.

exception tracarbon.exceptions.CountryIsMissing#

The country is missing.

exception tracarbon.exceptions.HardwareNoGPUDetectedException#

The hardware does not have a GPU.

exception tracarbon.exceptions.HardwareRAPLException#

The hardware is not compatible with RAPL.

exception tracarbon.exceptions.TracarbonException#

General Tracarbon Exception.

General Metrics#

class tracarbon.general_metrics.CarbonEmissionGenerator(location=None, *, metrics, platform='Linux', carbon_emission, co2signal_api_key=None)#

Carbon emission generator to generate carbon emissions.

Parameters:

  • location (Location | None) –

  • metrics (List[Metric]) –

  • platform (str) –

  • carbon_emission (CarbonEmission) –

  • co2signal_api_key (str | None) –

async generate()#

Generate metrics for the carbon emission.

Returns:

an async generator of the metrics

Return type:

AsyncGenerator[Metric, None]

class tracarbon.general_metrics.CarbonEmissionKubernetesGenerator(location, *, metrics, platform='Linux', carbon_emission, kubernetes, co2signal_api_key=None)#

Carbon emission generator to generate carbon emissions of the containers.

Parameters:
async generate()#

Generate metrics for the carbon emission with Kubernetes.

Returns:

an async generator of the metrics

Return type:

AsyncGenerator[Metric, None]

class tracarbon.general_metrics.EnergyConsumptionGenerator(location=None, *, metrics, platform='Linux', energy_consumption)#

Energy consumption generator for energy consumption.

Parameters:
async generate()#

Generate a metric for energy consumption.

Returns:

an async generator of the metrics

Return type:

AsyncGenerator[Metric, None]

class tracarbon.general_metrics.EnergyConsumptionKubernetesGenerator(*, metrics, platform='Linux', location=None, energy_consumption, kubernetes)#

Energy consumption generator for energy consumption of the containers.

Parameters:
async generate()#

Generate metrics for the energy consumption with Kubernetes.

Returns:

an async generator of the metrics

Return type:

AsyncGenerator[Metric, None]