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add scaphandre
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lamya1baidouri
parent
62d9fde5a1
commit
47fae9625c
1 changed files with 67 additions and 18 deletions
85
.github/workflows/pipeline.yml
vendored
85
.github/workflows/pipeline.yml
vendored
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@ -14,6 +14,17 @@ jobs:
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steps:
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- uses: actions/checkout@v4
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- name: Setup Rust and Scaphandre
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run: |
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# Installer Rust si nécessaire
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if ! command -v cargo &> /dev/null; then
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curl https://sh.rustup.rs -sSf | sh -s -- -y
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source "$HOME/.cargo/env"
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fi
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# Installer Scaphandre via Cargo
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cargo install scaphandre
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- name: Setup directories and install dependencies
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run: |
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set -eo pipefail
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@ -29,13 +40,8 @@ jobs:
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linux-tools-common \
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linux-tools-generic \
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python3-pip \
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python3-psutil \
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wget
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# Installer Scaphandre
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wget https://github.com/hubblo-org/scaphandre/releases/download/v0.5.0/scaphandre_0.5.0_amd64.deb
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sudo dpkg -i scaphandre_0.5.0_amd64.deb
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python3-psutil
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# Installer dépendances Python
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pip3 install pandas numpy
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@ -45,9 +51,11 @@ jobs:
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import subprocess
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import csv
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import os
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import sys
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import time
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import json
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from datetime import datetime
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def monitor_energy(command, output_file):
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# Créer le répertoire si nécessaire
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os.makedirs(os.path.dirname(output_file), exist_ok=True)
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@ -61,17 +69,19 @@ jobs:
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'Component'
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])
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# Commande scaphandre pour la sortie CSV
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# Commande scaphandre pour la sortie JSON
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scaphandre_cmd = [
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'scaphandre', 'record',
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'-f', output_file,
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'-m', 'csv',
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'--max-power-filter', '0.1', # Filtrer les valeurs insignifiantes
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'--timeout', '120' # Timeout de 2 minutes max
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'scaphandre', 'json',
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'-t', '120' # Timeout de 2 minutes max
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]
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# Lancer le monitoring en arrière-plan
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monitor_process = subprocess.Popen(scaphandre_cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
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monitor_process = subprocess.Popen(
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scaphandre_cmd,
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stdout=subprocess.PIPE,
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stderr=subprocess.PIPE,
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universal_newlines=True
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)
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try:
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# Attendre un court instant pour que Scaphandre démarre
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@ -81,15 +91,45 @@ jobs:
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main_process = subprocess.Popen(command, shell=True)
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main_process.wait()
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# Attendre et traiter les données de Scaphandre
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try:
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monitor_output, _ = monitor_process.communicate(timeout=10)
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process_scaphandre_output(monitor_output, output_file)
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except subprocess.TimeoutExpired:
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print("Scaphandre monitoring timed out", file=sys.stderr)
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finally:
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# Arrêter le monitoring
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monitor_process.terminate()
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monitor_process.wait()
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def main():
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import sys
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def process_scaphandre_output(output, output_file):
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try:
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# Diviser le flux JSON en objets individuels
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json_objects = output.strip().split('\n')
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# Vérifier si une commande est fournie
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with open(output_file, 'a', newline='') as csvfile:
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writer = csv.writer(csvfile)
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for json_str in json_objects:
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try:
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data = json.loads(json_str)
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# Extraire les informations pertinentes
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timestamp = data.get('timestamp', datetime.now().isoformat())
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power = data.get('power', {}).get('total_power', 0)
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writer.writerow([
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timestamp,
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power,
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'System'
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])
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except json.JSONDecodeError:
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print(f"Could not parse JSON: {json_str}", file=sys.stderr)
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except Exception as e:
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print(f"Error processing Scaphandre output: {e}", file=sys.stderr)
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def main():
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if len(sys.argv) < 3:
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print("Usage: python energy_monitor.py 'command' output_file.csv")
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sys.exit(1)
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@ -144,6 +184,9 @@ jobs:
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run: |
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set -eo pipefail
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# Ajouter Cargo et Scaphandre au PATH
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source "$HOME/.cargo/env"
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start_time=$(date +%s%N)
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# Collecter les métriques avant build
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@ -172,6 +215,9 @@ jobs:
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run: |
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set -eo pipefail
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# Ajouter Cargo et Scaphandre au PATH
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source "$HOME/.cargo/env"
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start_time=$(date +%s%N)
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# Collecter les métriques pré-tests
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@ -200,6 +246,9 @@ jobs:
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run: |
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set -eo pipefail
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# Ajouter Cargo et Scaphandre au PATH
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source "$HOME/.cargo/env"
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start_time=$(date +%s%N)
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# Collecter les métriques pré-docker
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