Create deploy/deploy_utils.py
Browse files- deploy/deploy_utils.py +218 -0
deploy/deploy_utils.py
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| 1 |
+
"""
|
| 2 |
+
OmniCoreX Deployment Utilities
|
| 3 |
+
|
| 4 |
+
This module contains advanced deployment configurations and helper functions
|
| 5 |
+
to facilitate containerization, cloud deployment, and robust model serving
|
| 6 |
+
for the OmniCoreX system.
|
| 7 |
+
|
| 8 |
+
Features:
|
| 9 |
+
- Dockerfile and Kubernetes manifest generation helpers.
|
| 10 |
+
- Environment variables management with secure handling.
|
| 11 |
+
- Health check and readiness probe utilities.
|
| 12 |
+
- Automated setup scripts for cloud environments.
|
| 13 |
+
- Utilities for scalable and fault-tolerant serving.
|
| 14 |
+
"""
|
| 15 |
+
|
| 16 |
+
import os
|
| 17 |
+
import json
|
| 18 |
+
import subprocess
|
| 19 |
+
from typing import Dict, Optional
|
| 20 |
+
|
| 21 |
+
def generate_dockerfile(base_image: str = "python:3.10-slim",
|
| 22 |
+
requirements_file: str = "requirements.txt",
|
| 23 |
+
workdir: str = "/app",
|
| 24 |
+
entry_point: str = "scripts/deploy_server.py",
|
| 25 |
+
expose_port: int = 8000) -> str:
|
| 26 |
+
"""
|
| 27 |
+
Generates a Dockerfile string for OmniCoreX deployment.
|
| 28 |
+
|
| 29 |
+
Args:
|
| 30 |
+
base_image: Base Docker image.
|
| 31 |
+
requirements_file: Path to Python requirements file.
|
| 32 |
+
workdir: Working directory inside container.
|
| 33 |
+
entry_point: Path to container entry script.
|
| 34 |
+
expose_port: Port to expose.
|
| 35 |
+
|
| 36 |
+
Returns:
|
| 37 |
+
Dockerfile content as string.
|
| 38 |
+
"""
|
| 39 |
+
dockerfile = f"""
|
| 40 |
+
FROM {base_image}
|
| 41 |
+
|
| 42 |
+
WORKDIR {workdir}
|
| 43 |
+
|
| 44 |
+
COPY . {workdir}/
|
| 45 |
+
|
| 46 |
+
RUN pip install --no-cache-dir -r {requirements_file}
|
| 47 |
+
|
| 48 |
+
EXPOSE {expose_port}
|
| 49 |
+
|
| 50 |
+
CMD ["python", "{entry_point}", "--host", "0.0.0.0", "--port", "{expose_port}"]
|
| 51 |
+
"""
|
| 52 |
+
return dockerfile.strip()
|
| 53 |
+
|
| 54 |
+
def save_dockerfile(path: str = "Dockerfile", **kwargs) -> None:
|
| 55 |
+
"""
|
| 56 |
+
Saves generated Dockerfile to specified path.
|
| 57 |
+
|
| 58 |
+
Args:
|
| 59 |
+
path: File path to save Dockerfile.
|
| 60 |
+
kwargs: Arguments to generate_dockerfile.
|
| 61 |
+
"""
|
| 62 |
+
content = generate_dockerfile(**kwargs)
|
| 63 |
+
with open(path, "w", encoding="utf-8") as f:
|
| 64 |
+
f.write(content)
|
| 65 |
+
print(f"Dockerfile saved to {path}")
|
| 66 |
+
|
| 67 |
+
def generate_k8s_deployment(deployment_name: str,
|
| 68 |
+
image_name: str,
|
| 69 |
+
replicas: int = 1,
|
| 70 |
+
container_port: int = 8000,
|
| 71 |
+
cpu_request: str = "500m",
|
| 72 |
+
mem_request: str = "1Gi",
|
| 73 |
+
cpu_limit: str = "1",
|
| 74 |
+
mem_limit: str = "2Gi") -> Dict:
|
| 75 |
+
"""
|
| 76 |
+
Generates a Kubernetes deployment manifest dictionary for OmniCoreX.
|
| 77 |
+
|
| 78 |
+
Args:
|
| 79 |
+
deployment_name: Name of K8s deployment.
|
| 80 |
+
image_name: Docker image to use.
|
| 81 |
+
replicas: Number of pods.
|
| 82 |
+
container_port: Port exposed by container.
|
| 83 |
+
cpu_request: Requested CPU.
|
| 84 |
+
mem_request: Requested memory.
|
| 85 |
+
cpu_limit: CPU limit.
|
| 86 |
+
mem_limit: Memory limit.
|
| 87 |
+
|
| 88 |
+
Returns:
|
| 89 |
+
Dict representing K8s deployment YAML.
|
| 90 |
+
"""
|
| 91 |
+
deployment = {
|
| 92 |
+
"apiVersion": "apps/v1",
|
| 93 |
+
"kind": "Deployment",
|
| 94 |
+
"metadata": {"name": deployment_name},
|
| 95 |
+
"spec": {
|
| 96 |
+
"replicas": replicas,
|
| 97 |
+
"selector": {"matchLabels": {"app": deployment_name}},
|
| 98 |
+
"template": {
|
| 99 |
+
"metadata": {"labels": {"app": deployment_name}},
|
| 100 |
+
"spec": {
|
| 101 |
+
"containers": [{
|
| 102 |
+
"name": deployment_name,
|
| 103 |
+
"image": image_name,
|
| 104 |
+
"ports": [{"containerPort": container_port}],
|
| 105 |
+
"resources": {
|
| 106 |
+
"requests": {
|
| 107 |
+
"cpu": cpu_request,
|
| 108 |
+
"memory": mem_request
|
| 109 |
+
},
|
| 110 |
+
"limits": {
|
| 111 |
+
"cpu": cpu_limit,
|
| 112 |
+
"memory": mem_limit
|
| 113 |
+
}
|
| 114 |
+
},
|
| 115 |
+
"readinessProbe": {
|
| 116 |
+
"httpGet": {
|
| 117 |
+
"path": "/health",
|
| 118 |
+
"port": container_port
|
| 119 |
+
},
|
| 120 |
+
"initialDelaySeconds": 5,
|
| 121 |
+
"periodSeconds": 10
|
| 122 |
+
},
|
| 123 |
+
"livenessProbe": {
|
| 124 |
+
"httpGet": {
|
| 125 |
+
"path": "/health",
|
| 126 |
+
"port": container_port
|
| 127 |
+
},
|
| 128 |
+
"initialDelaySeconds": 10,
|
| 129 |
+
"periodSeconds": 30
|
| 130 |
+
}
|
| 131 |
+
}]
|
| 132 |
+
}
|
| 133 |
+
}
|
| 134 |
+
}
|
| 135 |
+
}
|
| 136 |
+
return deployment
|
| 137 |
+
|
| 138 |
+
def save_k8s_manifest(manifest: Dict, path: str = "k8s_deployment.yaml") -> None:
|
| 139 |
+
"""
|
| 140 |
+
Saves K8s manifest dict as YAML file.
|
| 141 |
+
|
| 142 |
+
Args:
|
| 143 |
+
manifest: Dictionary of K8s manifest.
|
| 144 |
+
path: File path to save manifest YAML.
|
| 145 |
+
"""
|
| 146 |
+
import yaml
|
| 147 |
+
with open(path, "w", encoding="utf-8") as f:
|
| 148 |
+
yaml.dump(manifest, f)
|
| 149 |
+
print(f"Kubernetes manifest saved to {path}")
|
| 150 |
+
|
| 151 |
+
def build_docker_image(image_tag: str, dockerfile_path: str = "Dockerfile", context: str = ".") -> None:
|
| 152 |
+
"""
|
| 153 |
+
Builds a docker image using docker CLI.
|
| 154 |
+
|
| 155 |
+
Args:
|
| 156 |
+
image_tag: Name and tag of docker image (e.g., "omnicorex:latest").
|
| 157 |
+
dockerfile_path: Path to Dockerfile.
|
| 158 |
+
context: Build context directory.
|
| 159 |
+
"""
|
| 160 |
+
cmd = ["docker", "build", "-t", image_tag, "-f", dockerfile_path, context]
|
| 161 |
+
print(f"Running: {' '.join(cmd)}")
|
| 162 |
+
subprocess.run(cmd, check=True)
|
| 163 |
+
print(f"Built docker image: {image_tag}")
|
| 164 |
+
|
| 165 |
+
def push_docker_image(image_tag: str) -> None:
|
| 166 |
+
"""
|
| 167 |
+
Pushes docker image to registry.
|
| 168 |
+
|
| 169 |
+
Args:
|
| 170 |
+
image_tag: Docker image tag.
|
| 171 |
+
"""
|
| 172 |
+
cmd = ["docker", "push", image_tag]
|
| 173 |
+
print(f"Running: {' '.join(cmd)}")
|
| 174 |
+
subprocess.run(cmd, check=True)
|
| 175 |
+
print(f"Pushed docker image: {image_tag}")
|
| 176 |
+
|
| 177 |
+
def setup_env_vars(env_vars: Dict[str, str], path: str = ".env") -> None:
|
| 178 |
+
"""
|
| 179 |
+
Writes environment variables to a .env file for deployment configuration.
|
| 180 |
+
|
| 181 |
+
Args:
|
| 182 |
+
env_vars: Dict of environment variables to write.
|
| 183 |
+
path: Path to .env file.
|
| 184 |
+
"""
|
| 185 |
+
with open(path, "w", encoding="utf-8") as f:
|
| 186 |
+
for key, val in env_vars.items():
|
| 187 |
+
f.write(f"{key}={val}\n")
|
| 188 |
+
print(f"Environment variables saved in {path}")
|
| 189 |
+
|
| 190 |
+
if __name__ == "__main__":
|
| 191 |
+
# Example usage: generate dockerfile and k8s manifest
|
| 192 |
+
|
| 193 |
+
save_dockerfile(
|
| 194 |
+
base_image="python:3.10-slim",
|
| 195 |
+
requirements_file="requirements.txt",
|
| 196 |
+
workdir="/app",
|
| 197 |
+
entry_point="scripts/deploy_server.py",
|
| 198 |
+
expose_port=8000
|
| 199 |
+
)
|
| 200 |
+
|
| 201 |
+
deployment_manifest = generate_k8s_deployment(
|
| 202 |
+
deployment_name="omnicorex",
|
| 203 |
+
image_name="kosasih/omnicorex:latest",
|
| 204 |
+
replicas=2,
|
| 205 |
+
container_port=8000
|
| 206 |
+
)
|
| 207 |
+
save_k8s_manifest(deployment_manifest)
|
| 208 |
+
|
| 209 |
+
# Example environment variables setup
|
| 210 |
+
env_vars = {
|
| 211 |
+
"MODEL_PATH": "/app/checkpoints/checkpoint.pt",
|
| 212 |
+
"LOG_LEVEL": "INFO",
|
| 213 |
+
"NUM_WORKERS": "4"
|
| 214 |
+
}
|
| 215 |
+
setup_env_vars(env_vars)
|
| 216 |
+
|
| 217 |
+
print("Deployment utilities demo complete.")
|
| 218 |
+
|