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# Create a folder for the whole project
mkdir myProject
cd myProject

# Download the repository
git clone <httpshttps://github.com/Cloud-PG/dataset-generator.git>git

# Enter the project folder
cd dataset-generator

# Install dependencies
pip3 install -r requirements.txt

# Back to main project folder
cd ..

...

# Download the repository
git clone --branch v2.0.2 <httpshttps://github.com/Cloud-PG/smart-cache.git>git

# Enter the project folder
cd smart-cache

# Install the Utilities
cd SmartCache/sim/Utilities
pip3 install -e .
cd ../../..

# Install the Probe module
cd Probe
python3 setup.py install
cd ..

# Install general requirements
pip3 install coloredlogs colorama dash_daq biokit

# Back to main project folder
cd ..

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--- # Simulation parameters
sim:
  data: ./dataset
  outputFolder: ./results/
  type: normal
  window:
    start: 0
    stop: 52
  region: it
  overwrite: true
  cache:
		    # Use Reinforcement learning AI
    type: aiRL
    watermarks: false
		    # Create a cache with 10G size
    size:
      value: 10
      unit: G
    bandwidth: 
      value: 1
      redirect: true
  ai:
    rl:
      epsilon:
        decay: 0.001
      addition:
        featuremap: ./smart-cache/featureMaps/rlAdditionFeatureMap.json
      eviction:
        featuremap: ./smart-cache/featureMaps/rlEvictionFeatureMap.json

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cat << EOF > simulation.conf.yaml
--- # Simulation parameters
sim:
  data: $(pwd)/dataset
  outputFolder: $(pwd)/results
  type: normal
  window:
    start: 0
    stop: 52
  region: it
  overwrite: true
  cache:
		    # Use Reinforcement learning AI
    type: aiRL
    watermarks: false
		    # Create a cache with 10G size
    size:
      value: 10
      unit: G
    bandwidth: 
      value: 1
      redirect: true
  ai:
    rl:
      epsilon:
        decay: 0.001
      addition:
        featuremap: $(pwd)/smart-cache/featureMaps/rlAdditionFeatureMap.json
      eviction:
        featuremap: $(pwd)/smart-cache/featureMaps/rlEvictionFeatureMap.json
EOF

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