Add kubernetes.YAML support to ramalama serverve

Signed-off-by: Daniel J Walsh <dwalsh@redhat.com>

docs/ramalama-serve.1.md

@@ -23,9 +23,14 @@ The default is TRUE. The --nocontainer option forces this option to False.
 
 Use the `ramalama stop` command to stop the container running the served ramalama Model.
 
-#### **--generate**=quadlet
+#### **--generate**=type
 Generate specified configuration format for running the AI Model as a service
 
+| Key       | Description                                                      |
+| --------- | ---------------------------------------------------------------- |
+|  quadlet  | Podman supported container definition for running AI Model under systemd |
+|  kube     | Kubernetes YAML definition for running the AI MOdel as a service |
+
 #### **--help**, **-h**
 show this help message and exit
 
@@ -36,10 +41,9 @@ Name of the container to run the Model in.
 port for AI Model server to listen on
 
 ## EXAMPLES
-
-Run two AI Models at the same time, notice that they are running within Podman Containers.
-
+### Run two AI Models at the same time. Notice both are running within Podman Containers.
 ```
+
 $ ramalama serve -p 8080 --name mymodel ollama://tiny-llm:latest
 09b0e0d26ed28a8418fb5cd0da641376a08c435063317e89cf8f5336baf35cfa
 
@@ -52,8 +56,7 @@ CONTAINER ID  IMAGE                             COMMAND               CREATED
 3f64927f11a5  quay.io/ramalama/ramalama:latest  /usr/bin/ramalama...  17 seconds ago  Up 17 seconds  0.0.0.0:8082->8082/tcp  ramalama_YMPQvJxN97
 ```
 
-Generate a quadlet for running the AI Model service
-
+### Generate a quadlet for running the AI Model service
 ```
 $ ramalama serve --name MyGraniteServer --generate=quadlet granite > $HOME/.config/containers/systemd/MyGraniteServer.container
 $ cat $HOME/.config/containers/systemd/MyGraniteServer.container
@@ -91,6 +94,43 @@ CONTAINER ID  IMAGE                             COMMAND               CREATED
 7bb35b97a0fe  quay.io/ramalama/ramalama:latest  llama-server --po...  3 minutes ago  Up 3 minutes  0.0.0.0:43869->8080/tcp  MyGraniteServer
 ```
 
+### Generate a kubernetes YAML file named tini
+```
+$ ramalama --nocontainer serve --name tini --generate kube tiny
+
+# Save the output of this file and use kubectl create -f to import
+# it into Kubernetes.
+#
+# Created with ramalama-0.0.17
+apiVersion: v1
+kind: Pod
+metadata:
+  labels:
+    app: tini-pod
+  name: tini-pod
+spec:
+  containers:
+  - name: tini
+    image:   quay.io/ramalama/ramalama:latest
+    command: [ "llama-server" ]
+    args:    ['--port', '8080', '-m', '/run/model']
+    ports:
+    - containerPort: 8080
+      hostPort: 8080
+    volumeMounts:
+        - mountPath: /run/model
+          name: model
+        - mountPath: /dev/dri
+          name: dri
+  volumes:
+  - name model
+    hostPath:
+      path: /home/dwalsh/.local/share/ramalama/models/ollama/tinyllama:latest"
+  - name model
+    hostPath:
+      path: /dev/dri
+```
+
 ## SEE ALSO
 **[ramalama(1)](ramalama.1.md)**, **[ramalama-stop(1)](ramalama-stop.1.md)**, **quadlet(1)**, **systemctl(1)**, **podman-ps(1)**
 

ramalama/cli.py

@@ -3,21 +3,20 @@
 import glob
 import json
 import os
-import random
-import string
 import subprocess
 import sys
 import time
 
 from ramalama.huggingface import Huggingface
 from ramalama.common import (
-    in_container,
     container_manager,
-    exec_cmd,
-    run_cmd,
     default_image,
+    exec_cmd,
     find_working_directory,
+    genname,
+    in_container,
     perror,
+    run_cmd,
 )
 from ramalama.oci import OCI
 from ramalama.ollama import Ollama
@@ -409,10 +408,6 @@ def push_cli(args):
     model.push(source, args)
 
 
-def _name():
-    return "ramalama_" + "".join(random.choices(string.ascii_letters + string.digits, k=10))
-
-
 def run_parser(subparsers):
     parser = subparsers.add_parser("run", help="run specified AI Model as a chatbot")
     parser.add_argument("-n", "--name", dest="name", help="name of container in which the Model will be run")
@@ -435,7 +430,7 @@ def serve_parser(subparsers):
     parser.add_argument("-p", "--port", default="8080", help="port for AI Model server to listen on")
     parser.add_argument(
         "--generate",
-        choices=["quadlet"],
+        choices=["quadlet", "kube"],
         help="generate specified configuration format for running the AI Model as a service",
     )
     parser.add_argument("MODEL")  # positional argument
@@ -578,7 +573,7 @@ def run_container(args):
     if hasattr(args, "name") and args.name:
         name = args.name
     else:
-        name = _name()
+        name = genname()
 
     wd = find_working_directory()
     conman_args = [

ramalama/common.py

@@ -2,7 +2,9 @@
 
 import hashlib
 import os
+import random
 import shutil
+import string
 import subprocess
 import sys
 
@@ -148,3 +150,7 @@ def default_image():
     if image:
         return image
     return "quay.io/ramalama/ramalama:latest"
+
+
+def genname():
+    return "ramalama_" + "".join(random.choices(string.ascii_letters + string.digits, k=10))

ramalama/model.py

@@ -1,6 +1,7 @@
 import os
 import sys
-from ramalama.common import exec_cmd, default_image, in_container
+from ramalama.common import exec_cmd, default_image, in_container, genname
+from ramalama.version import version
 
 
 file_not_found = """\
@@ -12,8 +13,8 @@
 file_not_found_in_container = """\
 RamaLama requires the "%s" command to be installed inside of the container.
 RamaLama requires the server application be installed in the container images.
-Either install a package containing the "%s" command in the container or run with the default
-RamaLama image.
+Either install a package containing the "%s" command in the container or run
+with the default RamaLama image.
 """
 
 
@@ -128,13 +129,16 @@ def run(self, args):
 
     def serve(self, args):
         symlink_path = self.pull(args)
-        exec_args = ["llama-server", "--port", args.port, "-m", symlink_path]
+        exec_args = ["llama-server", "--port", args.port, "-m", "/run/model"]
         if args.runtime == "vllm":
-            exec_args = ["vllm", "serve", "--port", args.port, symlink_path]
+            exec_args = ["vllm", "serve", "--port", args.port, "/run/model"]
 
         if args.generate == "quadlet":
             return self.quadlet(symlink_path, args, exec_args)
 
+        if args.generate == "kube":
+            return self.kube(symlink_path, args, exec_args)
+
         try:
             exec_cmd(exec_args)
         except FileNotFoundError as e:
@@ -162,7 +166,7 @@ def quadlet(self, model, args, exec_args):
 AddDevice=-/dev/kfd
 Exec={" ".join(exec_args)}
 Image={default_image()}
-Volume={model}:{model}:ro,z
+Volume={model}:/run/model:ro,z
 {name_string}
 {port_string}
 
@@ -171,3 +175,78 @@ def quadlet(self, model, args, exec_args):
 WantedBy=multi-user.target default.target
 """
         )
+
+    def _gen_ports(self, args):
+        if not hasattr(args, "port"):
+            return ""
+
+        ports = args.port.split(":", 2)
+        container_port = ports[0]
+        host_port = ports[0]
+        if len(ports) > 1:
+            host_port = ports[1]
+        return f"""\
+    ports:
+    - containerPort: {container_port}
+      hostPort: {host_port}"""
+
+    def _gen_volumes(self, model, args):
+        mounts = """\
+    volumeMounts:
+        - mountPath: /run/model
+          name: model"""
+
+        volumes = f"""
+  volumes:
+  - name model
+    hostPath:
+      path: {model}"""
+
+        for dev in ["dri", "kfd"]:
+            if os.path.exists("/dev/" + dev):
+                mounts = (
+                    mounts
+                    + f"""
+        - mountPath: /dev/{dev}
+          name: dri"""
+                )
+                volumes = (
+                    volumes
+                    + f""""
+  - name model
+    hostPath:
+      path: /dev/{dev}"""
+                )
+
+        return mounts + volumes
+
+    def kube(self, model, args, exec_args):
+        port_string = self._gen_ports(args)
+        volume_string = self._gen_volumes(model, args)
+        _version = version()
+        if hasattr(args, "name") and args.name:
+            name = args.name
+        else:
+            name = genname()
+
+        print(
+            f"""\
+# Save the output of this file and use kubectl create -f to import
+# it into Kubernetes.
+#
+# Created with ramalama-{_version}
+apiVersion: v1
+kind: Pod
+metadata:
+  labels:
+    app: {name}-pod
+  name: {name}-pod
+spec:
+  containers:
+  - name: {name}
+    image:   {args.image}
+    command: [ "{exec_args[0]}" ]
+    args:    {exec_args[1:]}
+{port_string}
+{volume_string}"""
+        )