Deprecate Python Native API (#1156)

* deprecate python native api Signed-off-by: yes <[email protected]> * syntax issue fix Signed-off-by: yes <[email protected]> --------- Signed-off-by: yes <[email protected]>
securefederatedai · Nov 19, 2024 · 1b586cb · 1b586cb
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diff --git a/docs/about/features_index/pynative.rst b/docs/about/features_index/pynative.rst
@@ -7,7 +7,7 @@
 :orphan:
 
 =================
-Python Native API
+Python Native API (Deprecated)
 =================
 
 TODO

diff --git a/docs/developer_guide/advanced_topics/overriding_agg_fn.rst b/docs/developer_guide/advanced_topics/overriding_agg_fn.rst
@@ -10,7 +10,7 @@ Override Aggregation Function
 With the aggregator-based workflow, you can use custom aggregation functions for each task via Python\*\  API or command line interface.
 
 
-Python API
+Python API (Deprecated)
 ==========
 
 1. Create an implementation of :class:`openfl.interface.aggregation_functions.core.AggregationFunction`.

diff --git a/docs/developer_guide/advanced_topics/overriding_plan_settings.rst b/docs/developer_guide/advanced_topics/overriding_plan_settings.rst
@@ -11,7 +11,7 @@ With the director-based workflow, you can use custom plan settings before starti
 When using Python API or Director Envoy based interactive API (Deprecated), **override_config** can be used to update plan settings. 
 
 
-Python API
+Python API (Deprecated)
 ==========
 
 Modify the plan settings:

diff --git a/docs/developer_guide/running_the_federation.notebook.rst b/docs/developer_guide/running_the_federation.notebook.rst
@@ -4,7 +4,7 @@
 .. _running_notebook:
 
 **********************************
-Aggregator-Based Workflow Tutorial
+Aggregator-Based Workflow Tutorial (Deprecated)
 **********************************
 
 You will start a Jupyter\* \  lab server and receive a URL you can use to access the tutorials. Jupyter notebooks are provided for PyTorch\* \  and TensorFlow\* \  that simulate a federation on a local machine.

diff --git a/docs/developer_guide/utilities/splitters_data.rst b/docs/developer_guide/utilities/splitters_data.rst
@@ -13,7 +13,7 @@ Dataset Splitters
 You may apply data splitters differently depending on the |productName| workflow that you follow. 
 
 
-OPTION 1: Use **Native Python API** (Aggregator-Based Workflow) Functions to Split the Data
+OPTION 1: Use **Native Python API** (Aggregator-Based Workflow) Functions to Split the Data (Deprecated)
 ===========================================================================================
 
 Predefined |productName| data splitters functions are as follows:

diff --git a/docs/get_started/examples.rst b/docs/get_started/examples.rst
@@ -30,7 +30,7 @@ See :ref:`running_the_task_runner`
     :ref:`running_the_task_runner`
 
 -------------------------
-Python Native API
+Python Native API (Deprecated)
 -------------------------
 Intended for quick simulation purposes
 

diff --git a/docs/get_started/examples/python_native_pytorch_mnist.rst b/docs/get_started/examples/python_native_pytorch_mnist.rst
@@ -4,7 +4,7 @@
 .. _python_native_pytorch_mnist:
 
 ==========================================
-Python Native API: Federated PyTorch MNIST
+Python Native API: Federated PyTorch MNIST (Deprecated)
 ==========================================
 
 In this tutorial, we will set up a federation and train a basic PyTorch model on the MNIST dataset using the Python Native API.

diff --git a/docs/source/api/openfl_native.rst b/docs/source/api/openfl_native.rst
@@ -2,7 +2,7 @@
 .. # SPDX-License-Identifier: Apache-2.0
 
 *************************************************
-Native Module
+Native Module (Deprecated)
 *************************************************
 
 Native modules reference:

diff --git a/...erated_FedProx_Keras_MNIST_Tutorial.ipynb → ...erated_FedProx_Keras_MNIST_Tutorial.ipynb b/...erated_FedProx_Keras_MNIST_Tutorial.ipynb → ...erated_FedProx_Keras_MNIST_Tutorial.ipynb
diff --git a/...ated_FedProx_PyTorch_MNIST_Tutorial.ipynb → ...ated_FedProx_PyTorch_MNIST_Tutorial.ipynb b/...ated_FedProx_PyTorch_MNIST_Tutorial.ipynb → ...ated_FedProx_PyTorch_MNIST_Tutorial.ipynb
diff --git a/...ials/Federated_Keras_MNIST_Tutorial.ipynb → ..._api/Federated_Keras_MNIST_Tutorial.ipynb b/...ials/Federated_Keras_MNIST_Tutorial.ipynb → ..._api/Federated_Keras_MNIST_Tutorial.ipynb
diff --git a/...ials/Federated_PyTorch_TinyImageNet.ipynb → ..._api/Federated_PyTorch_TinyImageNet.ipynb b/...ials/Federated_PyTorch_TinyImageNet.ipynb → ..._api/Federated_PyTorch_TinyImageNet.ipynb
diff --git a/...als/Federated_PyTorch_UNET_Tutorial.ipynb → ...api/Federated_PyTorch_UNET_Tutorial.ipynb b/...als/Federated_PyTorch_UNET_Tutorial.ipynb → ...api/Federated_PyTorch_UNET_Tutorial.ipynb
diff --git a/...ls/Federated_Pytorch_MNIST_Tutorial.ipynb → ...pi/Federated_Pytorch_MNIST_Tutorial.ipynb b/...ls/Federated_Pytorch_MNIST_Tutorial.ipynb → ...pi/Federated_Pytorch_MNIST_Tutorial.ipynb
diff --git a/...h_MNIST_custom_aggregation_Tutorial.ipynb → ...h_MNIST_custom_aggregation_Tutorial.ipynb b/...h_MNIST_custom_aggregation_Tutorial.ipynb → ...h_MNIST_custom_aggregation_Tutorial.ipynb
diff --git a/openfl-workspace/torch_llm_horovod/src/InHorovodrun.py b/openfl-workspace/torch_llm_horovod/src/InHorovodrun.py
@@ -9,7 +9,7 @@
 
 import horovod.torch as hvd
 
-import openfl.native as fx
+from openfl.interface.cli import setup_logging
 
 SCRIPT_DIR = os.path.dirname(os.path.abspath(__file__))
 sys.path.append(os.path.dirname(SCRIPT_DIR))
@@ -50,7 +50,7 @@ def get_args():
 
 def main():
     logger = getLogger(__name__)
-    fx.setup_logging(level="INFO", log_file=None)
+    setup_logging()
     try:
         logger.info("starting horovod")
         hvd.init()