Feature/SK-1102 | Simplify ClientAPI and add support for inference

.ci/tests/examples/print_logs.sh

@@ -1,7 +1,7 @@
 #!/bin/bash
-service = $1
-example = $2
-helper = $3
+service="$1"
+example="$2"
+helper="$3"
 
 if [ "$service" == "minio" ]; then
     echo "Minio logs"

.ci/tests/examples/wait_for.py

@@ -40,7 +40,7 @@ def _test_rounds(n_rounds):
 def _test_nodes(n_nodes, node_type, reducer_host='localhost', reducer_port='8092'):
     try:
 
-        endpoint = "list_clients" if node_type == "client" else "list_combiners"
+        endpoint = "api/v1/clients/" if node_type == "client" else "api/v1/combiners/"
 
         response = requests.get(
             f'http://{reducer_host}:{reducer_port}/{endpoint}', verify=False)

docker-compose.yaml

@@ -143,7 +143,7 @@ services:
       - ${HOST_REPO_DIR:-.}/fedn:/app/fedn
     entrypoint: [ "sh", "-c" ]
     command:
-      - "/venv/bin/pip install --no-cache-dir -e . && /venv/bin/fedn client start --init config/settings-client.yaml"
+      - "/venv/bin/pip install --no-cache-dir -e . && /venv/bin/fedn client start --api-url http://api-server:8092"
     deploy:
       replicas: 0
     depends_on:

fedn/__init__.py

@@ -3,6 +3,7 @@
 from os.path import basename, dirname, isfile
 
 from fedn.network.api.client import APIClient
+from fedn.network.clients.fedn_client import FednClient
 
 # flake8: noqa
 

fedn/cli/client_cmd.py

@@ -70,7 +70,7 @@ def list_clients(ctx, protocol: str, host: str, port: str, token: str = None, n_
         click.echo(f"Error: Could not connect to {url}")
 
 
-@client_cmd.command("start")
+@client_cmd.command("start-v1")
 @click.option("-d", "--discoverhost", required=False, help="Hostname for discovery services(reducer).")
 @click.option("-p", "--discoverport", required=False, help="Port for discovery services (reducer).")
 @click.option("--token", required=False, help="Set token provided by reducer if enabled")
@@ -208,7 +208,7 @@ def _complement_client_params(config: dict):
         click.echo(f"Protocol missing, complementing api_url with protocol: {result}")
 
 
-@client_cmd.command("start-v2")
+@client_cmd.command("start")
 @click.option("-u", "--api-url", required=False, help="Hostname for fedn api.")
 @click.option("-p", "--api-port", required=False, help="Port for discovery services (reducer).")
 @click.option("--token", required=False, help="Set token provided by reducer if enabled")
@@ -239,8 +239,6 @@ def client_start_v2_cmd(
     helper_type: str,
     init: str,
 ):
-    click.echo(click.style("\n*** fedn client start-v2 is experimental ***\n", blink=True, bold=True, fg="red"))
-
     package = "local" if local_package else "remote"
 
     config = {

fedn/network/clients/README.rst

@@ -0,0 +1,121 @@
+Creating Your Own Client
+========================
+
+This guide will help you create your own client for the FEDn network.
+
+Step-by-Step Instructions
+-------------------------
+
+1. **Create a virutal environment**: Start by creating a virtual environment and activating it.
+
+.. code-block:: bash
+
+    python3 -m venv fedn-env
+    source fedn-env/bin/activate
+
+
+2. **Install FEDn**: Install the FEDn package by running the following command:
+
+.. code-block:: bash
+
+    pip install fedn
+
+3. **Create your client**: Copy and paste the code Below into a new file called `client_example.py`.
+
+.. code-block:: python
+
+    import argparse
+
+    from fedn.network.clients.fedn_client import FednClient, ConnectToApiResult
+
+
+    def get_api_url(api_url: str, api_port: int):
+        url = f"{api_url}:{api_port}" if api_port else api_url
+        if not url.endswith("/"):
+            url += "/"
+        return url
+
+    def on_train(in_model):
+        training_metadata = {
+            "num_examples": 1,
+            "batch_size": 1,
+            "epochs": 1,
+            "lr": 1,
+        }
+
+        metadata = {"training_metadata": training_metadata}
+
+        # Do your training here, out_model is your result...
+        out_model = in_model
+
+        return out_model, metadata
+
+    def on_validate(in_model):
+        # Calculate metrics here...
+        metrics = {
+            "test_accuracy": 0.9,
+            "test_loss": 0.1,
+            "train_accuracy": 0.8,
+            "train_loss": 0.2,
+        }
+        return metrics
+
+    def on_predict(in_model):
+        # Do your prediction here...
+        prediction = {
+            "prediction": 1,
+            "confidence": 0.9,
+        }
+        return prediction
+
+
+    def main(api_url: str, api_port: int, token: str = None):
+        fedn_client = FednClient(train_callback=on_train, validate_callback=on_validate, predict_callback=on_predict)
+
+        url = get_api_url(api_url, api_port)
+
+        name = input("Enter Client Name: ")
+        fedn_client.set_name(name)
+
+        client_id = str(uuid.uuid4())
+        fedn_client.set_client_id(client_id)
+
+        controller_config = {
+            "name": name,
+            "client_id": client_id,
+            "package": "local",
+            "preferred_combiner": "",
+        }
+
+        result, combiner_config = fedn_client.connect_to_api(url, token, controller_config)
+
+        if result != ConnectToApiResult.Assigned:
+            print("Failed to connect to API, exiting.")
+            return
+
+        result: bool = fedn_client.init_grpchandler(config=combiner_config, client_name=client_id, token=token)
+
+        if not result:
+            return
+
+        fedn_client.run()
+
+    if __name__ == "__main__":
+        parser = argparse.ArgumentParser(description="Client Example")
+        parser.add_argument("--api-url", type=str, required=True, help="The API URL")
+        parser.add_argument("--api-port", type=int, required=False, help="The API Port")
+        parser.add_argument("--token", type=str, required=False, help="The API Token")
+
+        args = parser.parse_args()
+        main(args.api_url, args.api_port, args.token)
+
+
+4. **Run the client**: Run the client by executing the following command:
+
+.. code-block:: bash
+
+    python client_example.py --api-url <full-api-url> --token <api-token>
+
+Replace `<api-url>` and `<api-token>` with the URL and token of the FEDn API. *Example when running a local FEDn instance: python client_example.py --api-url http://localhost:8092*
+
+5. **Start training**: Create a session and start training by using either the FEDn CLI or the FEDn UI.