feat: add Windows EMI RAPL provider and Windows platform support

Author: MaximilianJahns

GMT_RAPL_EMI_Kontext_neuer_Chat.md

@@ -0,0 +1,304 @@
+postgresql:
+  host: localhost
+  user: postgres
+  dbname: green-coding
+  password: test1234
+  port: 9573
+  retry_timeout: 300  # Total time to retry database connections on outage/failure (5 minutes)
+
+redis:
+  host: localhost
+  port: 6379
+
+security:
+  # Used to encrypt secrets before storing them in the database. Keep this stable;
+  # changing it makes previously encrypted DB values unreadable. If these are empty
+  # no encryption is used.
+  encryption_public_key_file: null
+  encryption_private_key_file: null
+
+smtp:
+  server: SMTP_SERVER
+  sender: SMTP_SENDER
+  port: SMTP_PORT
+  password: SMTP_AUTH_PW
+  user: SMTP_AUTH_USER
+
+admin:
+  # This address will get an email, for notifications in the system like an added job through the interface
+  notification_email: False
+  # Takes a file path to log all the errors to it. This is disabled if False
+  error_file: False
+  # Sends an error notification also via email. This is disabled if False
+  error_email: False
+  # This email will always get a copy of email sent which is not already the receipient, even for user-only mails like the "Your report is ready" mail.
+  email_bcc: False
+
+
+cluster:
+  api_url: http://api.green-coding.internal:9142
+  metrics_url: http://metrics.green-coding.internal:9142
+  cors_allowed_origins:
+      - http://api.green-coding.internal:9142
+      - http://metrics.green-coding.internal:9142
+  client:
+    sleep_time_no_job: 300
+    jobs_processing: "random"
+    update_os_packages: True
+    shutdown_on_job_no: suspend
+    # These two parameters have only effect in cluster mode. When using CLI they will be set via flags --docker-prune and --full-docker-prune only
+    docker_prune: False
+    full_docker_prune: True
+    # define a workload to check cluster noise floor
+    time_between_control_workload_validations: 21600
+    send_control_workload_status_mail: False
+    control_workload:
+      name: "Measurement control Workload"
+      uri: "https://github.com/green-coding-solutions/measurement-control-workload"
+      filename: "usage_scenario.yml"
+      branch: "event-bound"
+      comparison_window: 5
+      phase: "004_[RUNTIME]"
+      metrics:
+        psu_energy_ac_mcp_machine:
+          threshold: 0.01 # 1%
+          type: stddev_rel
+        psu_power_ac_mcp_machine:
+          threshold: 0.01 # 1%
+          type: stddev_rel
+        cpu_power_rapl_msr_component:
+          threshold: 0.01 # 1%
+          type: stddev_rel
+        cpu_energy_rapl_msr_component:
+          threshold: 0.01 # 1%
+          type: stddev_rel
+        psu_carbon_ac_mcp_machine:
+          threshold: 0.01 # 1%
+          type: stddev_rel
+        network_total_cgroup_container:
+          threshold: 10000 # 10 kB
+          type: stddev
+        phase_time_syscall_system:
+          threshold: 0.01 # 1%
+          type: stddev_rel
+
+
+machine:
+  id: 1
+  description: "Development machine for testing"
+  base_temperature_value: False
+  base_temperature_chip: False
+  base_temperature_feature: False
+
+  # Reservations guarantee that GMT always cpu time to execute metric providers and system does not OOM
+  # Not recommended to alter this in development, but when running on a cluster it should be set
+  # host_reserved_cpus must always be >= 1 or GMT will fail
+  host_reserved_cpus: 1
+  host_reserved_memory: 0
+
+measurement:
+  full_docker_prune_whitelist:
+    - martizih/kaniko:slim
+  metric_providers:
+  # Please select the needed providers according to the working ones on your system
+  # More info https://docs.green-coding.io/docs/measuring/metric-providers
+  # Please activate and deactivate any provider in this list by uncommenting it.
+  # Keep in mind that some reporters need separate installation steps to be found @
+  # https://docs.green-coding.io/docs/installation/installation-overview/
+  # You can ignore any line that starts with #---
+    #--- Architecture - Linux Only
+    linux:
+    #--- Always-On - We recommend these providers to be always enabled
+      cpu_utilization_procfs_system:
+        sampling_rate: 99
+    #--- CGroupV2 - Turn these on if you have CGroupsV2 working on your machine
+      cpu_utilization_cgroup_container:
+        sampling_rate: 99
+      memory_used_cgroup_container:
+        sampling_rate: 99
+      network_io_cgroup_container:
+        sampling_rate: 99
+      disk_io_cgroup_container:
+        sampling_rate: 99
+    #--- RAPL - Only enable these if you have RAPL enabled on your machine
+#      cpu_energy_rapl_msr_component:
+#        sampling_rate: 99
+#      memory_energy_rapl_msr_component:
+#        sampling_rate: 99
+    #--- Machine Energy - These providers need special hardware / lab equipment to work
+#      psu_energy_ac_gude_machine:
+#        sampling_rate: 99
+#      psu_energy_ac_powerspy2_machine:
+#        sampling_rate: 250
+#      psu_energy_ac_mcp_machine:
+#        sampling_rate: 99
+#      psu_energy_ac_ipmi_machine:
+#        sampling_rate: 99
+#      psu_energy_dc_rapl_msr_machine:
+#        sampling_rate: 99
+    #--- GPU - Only enable these if you have GPUs with power measurement enabled in your machine
+#      gpu_energy_nvidia_nvml_component:
+#        sampling_rate: 99
+    #--- Sensors - these providers need the lm-sensors package installed
+#      lmsensors_temperature_component:
+#        sampling_rate: 99
+      # Please change these values according to the names in '$ sensors'
+#        chips: ['thinkpad-isa-0000', 'coretemp-isa-0000']
+#        features: ['CPU', 'Package id 0', 'Core 0', 'Core 1', 'Core 2', 'Core 3']
+#      lmsensors_fan_component:
+#        sampling_rate: 99
+      # Please change these values according to the names in '$ sensors'
+#        chips: ['thinkpad-isa-0000']
+#        features: ['fan1', 'fan2']
+    #--- Debug - These providers should only be needed for debugging and introspection purposes
+#      cpu_throttling_msr_component:
+#        sampling_rate: 99
+#      cpu_frequency_msr_core:
+#        sampling_rate: 99
+#        base_ghz: 2.4  # Set to the nominal (non-turbo) base clock of your Intel CPU in GHz
+#      cpu_time_cgroup_container:
+#        sampling_rate: 99
+#      cpu_time_cgroup_system:
+#        sampling_rate: 99
+#      cpu_time_procfs_system:
+#        sampling_rate: 99
+#      disk_io_procfs_system:
+#        sampling_rate: 99
+#      network_io_procfs_system:
+#        sampling_rate: 99
+#        remove_virtual_interfaces: True
+#      disk_used_statvfs_system:
+#        sampling_rate: 99
+#      memory_used_procfs_system:
+#        sampling_rate: 99
+    #--- Cgroup system monitoring - These providers can be used to monitor background processes
+#      cpu_utilization_cgroup_system:
+#        sampling_rate: 99
+#        cgroups:
+#            "org.gnome.Shell@wayland.service":
+#                name: "Window Manager incl. X11"
+#            "session-2.scope":
+#                name: "GNOME Desktop"
+#      memory_used_cgroup_system:
+#        sampling_rate: 99
+#        cgroups:
+#            "org.gnome.Shell@wayland.service":
+#                name: "Window Manager incl. X11"
+#            "session-2.scope":
+#                name: "GNOME Desktop"
+#      disk_io_cgroup_system:
+#        sampling_rate: 99
+#        cgroups:
+#            "org.gnome.Shell@wayland.service":
+#                name: "Window Manager incl. X11"
+#            "session-2.scope":
+#                name: "GNOME Desktop"
+#      network_io_cgroup_system:
+#        sampling_rate: 99
+#        cgroups:
+#            "org.gnome.Shell@wayland.service":
+#                name: "Window Manager incl. X11"
+#            "session-2.scope":
+#                name: "GNOME Desktop"
+
+    #--- Architecture - MacOS
+    macos:
+    #--- MacOS: On Mac you only need this provider. Please remove all others!
+      powermetrics:
+        sampling_rate: 499 # If you set this value too low powermetrics will not be able to accommodate the timing. We recommend no lower than 199 ms
+      cpu_utilization_mach_system:
+        sampling_rate: 99
+    #--- Architecture - Windows
+    #--- Windows: Python runs natively, Docker Desktop runs Linux containers.
+    windows:
+    #--- RAPL - Requires the ScaphandreDrv kernel driver to be installed and running.
+      cpu_energy_rapl_scaphandre_component:
+        sampling_rate: 99
+        # Optionally disable individual RAPL domains (cpu_package, cpu_cores, cpu_gpu, dram, psys)
+        # domains:
+        #   cpu_gpu: False
+        #   dram: False
+      cpu_utilization_windows_system:
+         sampling_rate: 99
+    #--- Architecture - Common
+    common:
+#      network_connections_proxy_container:
+##        host_ip: 192.168.1.2 # This only needs to be enabled if automatic detection fails
+
+    #--- Model based - These providers estimate rather than measure. Helpful where measuring is not possible, like in VMs
+#      psu_energy_ac_sdia_machine:
+      #-- This is a default configuration. Please change this to your system!
+#        CPUChips: 1
+#        TDP: 65
+#      psu_energy_ac_xgboost_machine:
+      #-- This is a default configuration. Please change this to your system!
+#        CPUChips: 1
+#        HW_CPUFreq: 3200
+#        CPUCores: 4
+#        CPUThreads: 4
+#        TDP: 65
+######### The value for memory must be in GB not in GiB
+#        HW_MemAmountGB: 16
+#        Hardware_Availability_Year: 2011
+######### vhost_ratio is the virtualization degree of the machine. For Bare Metal this is 1. For 1 out of 4 VMs this would be 0.25 etc.
+#        VHost_Ratio: 1
+#
+###### DEBUG
+#      network_connections_tcpdump_system:
+#        split_ports: True
+#--- END
+
+
+sci:
+    # https://github.com/Green-Software-Foundation/sci/blob/main/Software_Carbon_Intensity/Software_Carbon_Intensity_Specification.md
+
+    # The values specific to the machine will be set here. The values that are specific to the
+    # software, like R (functional unit), will be set in the usage_scenario.yml
+
+    # EL Expected Lifespan; the anticipated time that the equipment will be installed. Value is in years
+    # The number 3.5 comes from a typical developer machine (Pro Laptop - https://dataviz.boavizta.org/terminalimpact)
+    EL: 4
+    # RS Resource-share; the share of the total available resources of the hardware reserved for use by the software.
+    # This ratio is typically 1 with the Green Metrics Tool unless you use a custom distributed orchestrator
+    RS: 1
+    # TE Total Embodied Emissions; the sum of Life Cycle Assessment (LCA) emissions for all hardware components.
+    # Value is in gCO2eq
+    # The value has to be identified from vendor datasheets. Here are some example sources:
+    # https://dataviz.boavizta.org/manufacturerdata
+    # https://tco.exploresurface.com/sustainability/calculator
+    # https://www.delltechnologies.com/asset/en-us/products/servers/technical-support/Full_LCA_Dell_R740.pdf
+    # The default is the value for a developer machine (Pro Laptop - https://dataviz.boavizta.org/terminalimpact)
+    TE: 181000
+    # I is the Carbon Intensity at the location of this machine
+    # The value can either be a number in gCO2e/kWh or a carbon intensity provider that fetches this number dynamically
+    # https://docs.green-coding.io/docs/measuring/carbon-intensity-providers/carbon-intensity-providers-overview/ (TODO)
+    # For fixed world-wide values get the number from https://ember-climate.org/insights/research/global-electricity-review-2025/
+    # The number worldwide for 2024 is 473
+    # The number 334 that comes as default is for Germany from 2024 and comes from https://app.electricitymaps.com/zone/DE/all/yearly
+    I: 334
+    # N is not technically part of the SCI, but we keep the value here for better clustering.
+    # N is the network energy intensity per transferred data. It transforms values like GB to kWh
+    # See https://www.green-coding.io/co2-formulas/ for details
+    N: 0.04106063
+
+#optimization:
+#  ignore:
+#    - example_optimization_test
+
+# In order to get the carbon intensity we use electricity maps which requires a token.
+# You can get this under https://api-portal.electricitymaps.com/
+# This is a free service please note that you need to pay if you want to use this commercially!
+#electricity_maps_token: '123'
+
+# Modules API / Frontend
+# GMT can selectively activate some API and frontend components. This is asked in the install process and should NOT
+# only be changed here as files in different locations are changed too. Please re-run the install process.
+activate_scenario_runner: True
+activate_eco_ci: True
+activate_power_hog: True
+activate_carbon_db: True
+activate_ai: False
+
+# GMT can activate additional enterprise only functionality
+# If you have a subscription insert your token here
+ee_token: False

config.yml.backup

@@ -270,13 +270,18 @@ measurement:
     #--- Architecture - Windows
     #--- Windows: Python runs natively, Docker Desktop runs Linux containers.
     windows:
-    #--- RAPL - Requires the ScaphandreDrv kernel driver to be installed and running.
-      cpu_energy_rapl_scaphandre_component:
+    #--- RAPL via EMI - No kernel driver required. Works on Windows 11 with Intel/AMD CPUs.
+    #--- Uses the Windows Energy Meter Interface (inbox PPM driver bridges RAPL MSRs).
+    #--- Both EMI and Scaphandre can run simultaneously for cross-validation.
+      cpu_energy_rapl_emi_component:
         sampling_rate: 99
-        # Optionally disable individual RAPL domains (cpu_package, cpu_cores, cpu_gpu, dram, psys)
-        # domains:
-        #   cpu_gpu: False
-        #   dram: False
+    #--- RAPL via Scaphandre - Requires the ScaphandreDrv kernel driver (test-mode or signed).
+#      cpu_energy_rapl_scaphandre_component:
+#        sampling_rate: 99
+#        # Optionally disable individual RAPL domains (cpu_package, cpu_cores, cpu_gpu, dram, psys)
+#        # domains:
+#        #   cpu_gpu: False
+#        #   dram: False
     #--- Architecture - Common
     common:
 #      network_connections_proxy_container: