notes

dev/sample mermaid.mmd

@@ -0,0 +1,31 @@
+``` mermaid 
+graph TD
+    A[Common Configuration] --> B[master]
+    A[Common Configuration] --> C[stable]
+    A[Common Configuration] --> D[deployment]
+    A[Common Configuration] --> E[GAT-5073]
+    A[Common Configuration] --> F[GAT-5098]
+
+    B --> B1[Release_ProfessionalTestServer]
+    B --> B2[Release_TestServer]
+    B --> B3[Release_DemoServer]
+    B1 --> G[TESTPRO on master]
+    B2 --> H[TEST on master]
+    B3 --> I[DEMO on master]
+
+    C --> C1[Release_DemoServer]
+    C --> C2[Release_ProfessionalTestServer]
+    C1 --> J[DEMO on stable]
+    C2 --> K[TESTPRO on stable]
+
+    D --> D1[Release_ProductionServer]
+    D --> D2[Release_ProfessionalServer]
+    D1 --> L[PROD Staging on deployment]
+    D2 --> M[PRO on deployment]
+
+    E --> E1[Staging_TestServer]
+    E1 --> N[TEST-Staging on GAT-5073]
+
+    F --> F1[Staging_DemoServer]
+    F1 --> O[DEMO-Staging on GAT-5098]
+```

linux/docker install.md

@@ -28,3 +28,7 @@ sudo docker build -t your-image-name .
 # attach to container
 docker exec -it potainer /bin/sh
 
+# on windows - setup port forwarding
+#netsh interface portproxy add v4tov4 listenaddress=127.0.0.1 listenport=9000 connectaddress=172.29.111.255 connectport=9000
+netsh interface portproxy add v4tov4 listenport=9000 listenaddress=0.0.0.0 connectport=9000 connectaddress=172.29.104.23
+netsh interface portproxy delete v4tov4 listenaddress=127.0.0.1 listenport=9000

linux/setup forticlient.sh

@@ -3,6 +3,19 @@
 apt update
 apt install -y openfortivpn ppp
 openfortivpn  vpn.gateway.one:10443 -u 'dobromir.popov@gateway.one'  --trusted-cert bd26362cc802a27102fcdbf7e7e9328f3dede58aa44c125ede4aadb9e39da8c8
+U6n4A7^8^c7dX&p6s
+
+
+or
+nano /etc/openfortivpn/config
+>
+host = vpn.gateway.one
+port = 10443
+trusted-cert = bd26362cc802a27102fcdbf7e7e9328f3dede58aa44c125ede4aadb9e39da8c8
+pppd-use-peerdns = 1
+set-routes = 1
+username = dobromir.popov@gateway.one
+password = U6n4A7^8^c7dX&p6s
 
 
 #ERROR:  pppd: The kernel does not support PPP, for example, the PPP kernel driver is not included or cannot be loaded.

python/appveyor.mmd

@@ -33,3 +33,44 @@ graph TD
     style C1 fill:#bbf,stroke:#333,stroke-width:2px,stroke-dasharray: 5,5
     style C2 fill:#bbf,stroke:#333,stroke-width:2px,stroke-dasharray: 5,5
 
+
+
+%% graph TD
+%%     A[Branches] --> B[master]
+%%     A --> C[stable]
+%%     A --> D[deployment]
+%%     A --> E[GAT-5073]
+%%     A --> F[GAT-5098]
+
+%%     B --> G[Release_ProfessionalTestServer]
+%%     B --> H[Release_DemoServer]
+    
+%%     C --> I[Release_DemoServer]
+%%     C --> J[Release_ProfessionalTestServer]
+    
+%%     D --> K[Release_ProductionServer]
+%%     D --> L[Release_ProfessionalServer]
+    
+%%     E --> M[Staging_TestServer]
+    
+%%     F --> N[Staging_DemoServer]
+
+%%     G --> O[TESTPRO - production]
+%%     H --> P[DEMO - production]
+    
+%%     I --> Q[DEMO - production]
+%%     J --> R[TESTPRO - production]
+    
+%%     K --> S[PROD - staging]
+%%     L --> T[PRO - production]
+    
+%%     M --> U[TEST - staging]
+    
+%%     N --> V[DEMO - staging]
+
+%%     style A fill:#f9f,stroke:#333,stroke-width:2px
+%%     style B fill:#bbf,stroke:#333,stroke-width:2px
+%%     style C fill:#bbf,stroke:#333,stroke-width:2px
+%%     style D fill:#bbf,stroke:#333,stroke-width:2px
+%%     style E fill:#bbf,stroke:#333,stroke-width:2px
+%%     style F fill:#bbf,stroke:#333,stroke-width:2px

python/deployments_graph.py

@@ -34,10 +34,15 @@ if 'branches' in config:
 # Check for inactive branches and configurations in the comments
 lines = appveyor_yml.splitlines()
 for i, line in enumerate(lines):
+    # Check for commented branches
     if re.match(r'#\s*-\s*(\w+)', line):
-        inactive_configs.setdefault(lines[i-1].strip().split()[1], []).append(re.findall(r'#\s*-\s*(\w+)', line)[0].replace('-', '_'))
+        branch_name = re.findall(r'#\s*-\s*(\w+)', line)[0]
-    if line.strip().startswith('#') and i + 2 < len(lines) and 'branches:' in lines[i + 1] and 'only:' in lines[i + 2]:
+        if 'branches' in lines[i - 1] and 'only:' in lines[i - 2]:
-        inactive_branches.append(lines[i + 2].split(':')[1].strip().replace('-', '_'))
+            inactive_branches.append(branch_name.replace('-', '_'))
+
+    # Check for commented configurations
+    if re.match(r'#\s*-\s*(\w+)', line):
+        inactive_configs.setdefault(lines[i - 1].strip().split()[1], []).append(re.findall(r'#\s*-\s*(\w+)', line)[0].replace('-', '_'))
 
 # Extract deployment configurations
 if 'deploy' in config:
@@ -67,14 +72,18 @@ for branch in branches.keys():
 for branch, configs in branches.items():
     branch_id = branch.replace('-', '_')
     for idx, config in enumerate(configs):
-        config_id = f"{branch_id}{idx+1}"
+        config_id = f"{branch_id}{idx + 1}"
         mermaid_graph += f"    {branch_id} --> {config_id}[{config}]\n"
-        # Add deployments to the configurations
+
-        for deploy in deployments.get(branch, []):
+# Add deployments to the configurations
+for branch, deploys in deployments.items():
+    branch_id = branch.replace('-', '_')
+    for deploy in deploys:
         configuration = deploy.get('configuration')
-            if configuration == config:
+        if configuration:
-                service = deploy.get('service', '')
+            config_id = f"{branch_id}{branches[branch].index(configuration) + 1}"
-                mermaid_graph += f"    {config_id} --> {service_id}[{deploy.get('on', {}).get('configuration', '')} on {branch}]\n"
+            service_id = deploy.get('website', '').replace('-', '_')
+            mermaid_graph += f"    {config_id} --> {service_id}[{deploy.get('provider', '')} on {branch}]\n"
 
 # Highlight inactive branches and configurations with a dotted style
 for branch in inactive_branches:

windows/wsl.cmd

@@ -0,0 +1,76 @@
+@REM run image (alpine) as root user
+ wsl -d Alpine -u root
+
+
+@REM wsl install docker cuda
+# Update the package list and install dependencies
+sudo apt update
+sudo apt install -y ca-certificates curl gnupg lsb-release
+
+# Add Docker’s official GPG key
+sudo mkdir -p /etc/apt/keyrings
+curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg
+
+# Set up the Docker repository
+echo \
+"deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.gpg] https://download.docker.com/linux/ubuntu \
+$(lsb_release -cs) stable" | sudo tee /etc/apt/sources.list.d/docker.list > /dev/null
+
+# Update the package list
+sudo apt update
+
+# Install Docker Engine
+sudo apt install -y docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin
+
+# Start Docker
+sudo service docker start
+
+# Enable Docker to start at boot
+sudo systemctl enable docker
+
+# Allow Docker commands without sudo
+sudo usermod -aG docker $USER
+
+
+@REM Install WSL-Ubuntu Package for CUDA:
+
+@REM Follow the instructions to install the CUDA toolkit specifically designed for WSL. Do not install the default CUDA toolkit that includes the drivers.
+
+
+wget https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64/cuda-wsl-ubuntu.pin
+sudo mv cuda-wsl-ubuntu.pin /etc/apt/preferences.d/cuda-repository-pin-600
+wget https://developer.download.nvidia.com/compute/cuda/12.2.0/local_installers/cuda-repo-wsl-ubuntu-12-2-local_12.2.0-1_amd64.deb
+sudo dpkg -i cuda-repo-wsl-ubuntu-12-2-local_12.2.0-1_amd64.deb
+sudo cp /var/cuda-repo-wsl-ubuntu-12-2-local/cuda-*-keyring.gpg /usr/share/keyrings/
+sudo apt-get update
+sudo apt-get install cuda
+Install NVIDIA Container Toolkit:
+
+@REM Set up the package repository and install the NVIDIA Container Toolkit:
+
+distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
+curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add -
+curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.list
+
+sudo apt-get update
+sudo apt-get install -y nvidia-docker2
+
+
+# Create/update Docker daemon configuration
+mkdir -p /etc/docker
+echo '{
+  "runtimes": {
+    "nvidia": {
+      "path": "nvidia-container-runtime",
+      "runtimeArgs": []
+    }
+  }
+}' > /etc/docker/daemon.json
+
+
+sudo systemctl restart docker
+
+
+@REM Run a test container to ensure everything is set up correctly:
+
+sudo docker run --rm --gpus all nvidia/cuda:11.0-base nvidia-smi