docs(examples) Add table and improve design

dev/build-docs.sh

@@ -8,9 +8,7 @@ cd $ROOT
 ./dev/build-baseline-docs.sh
 
 cd $ROOT
-./dev/update-examples.sh
-cd examples/doc
-make docs
+python dev/build-example-docs.py
 
 cd $ROOT
 ./datasets/dev/build-flwr-datasets-docs.sh

dev/build-example-docs.py

@@ -0,0 +1,236 @@
+# Copyright 2024 Flower Labs GmbH. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# ==============================================================================
+"""Build the Flower Example docs."""
+
+import os
+import shutil
+import re
+import subprocess
+from pathlib import Path
+
+ROOT = os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))
+INDEX = os.path.join(ROOT, "examples", "doc", "source", "index.rst")
+
+initial_text = """
+Flower Examples Documentation
+-----------------------------
+
+Welcome to Flower Examples' documentation. `Flower <https://flower.ai>`_ is
+a friendly federated learning framework.
+
+Join the Flower Community
+-------------------------
+
+The Flower Community is growing quickly - we're a friendly group of researchers,
+engineers, students, professionals, academics, and other enthusiasts.
+
+.. button-link:: https://flower.ai/join-slack
+    :color: primary
+    :shadow:
+
+    Join us on Slack
+
+Quickstart Examples
+-------------------
+
+Flower Quickstart Examples are a collection of demo projects that show how you
+can use Flower in combination with other existing frameworks or technologies.
+
+"""
+
+table_headers = (
+    "\n.. list-table::\n   :widths: 50 15 15 15\n   "
+    ":header-rows: 1\n\n   * - Title\n     - Framework\n     - Dataset\n     - Tags\n\n"
+)
+
+categories = {
+    "quickstart": {"table": table_headers, "list": ""},
+    "advanced": {"table": table_headers, "list": ""},
+    "other": {"table": table_headers, "list": ""},
+}
+
+
+def _convert_to_link(search_result):
+    if "|" in search_result:
+        if "," in search_result:
+            result = ""
+            for part in search_result.split(","):
+                result += f"{_convert_to_link(part)}, "
+            return result[:-2]
+
+        name, url = search_result.replace('"', "").split("|")
+        return f"`{name.strip()} <{url.strip()}>`_"
+
+    return search_result
+
+
+def _read_metadata(example):
+    with open(os.path.join(example, "README.md")) as f:
+        content = f.read()
+
+    metadata_match = re.search(r"^---(.*?)^---", content, re.DOTALL | re.MULTILINE)
+    if not metadata_match:
+        raise ValueError("Metadata block not found")
+    metadata = metadata_match.group(1)
+
+    title_match = re.search(r"^title:\s*(.+)$", metadata, re.MULTILINE)
+    if not title_match:
+        raise ValueError("Title not found in metadata")
+    title = title_match.group(1).strip()
+
+    labels_match = re.search(r"^labels:\s*\[(.+?)\]$", metadata, re.MULTILINE)
+    if not labels_match:
+        raise ValueError("Labels not found in metadata")
+    labels = labels_match.group(1).strip()
+
+    dataset_match = re.search(
+        r"^dataset:\s*\[(.*?)\]$", metadata, re.DOTALL | re.MULTILINE
+    )
+    if not dataset_match:
+        raise ValueError("Dataset not found in metadata")
+    dataset = dataset_match.group(1).strip()
+
+    framework_match = re.search(
+        r"^framework:\s*\[(.*?|)\]$", metadata, re.DOTALL | re.MULTILINE
+    )
+    if not framework_match:
+        raise ValueError("Framework not found in metadata")
+    framework = framework_match.group(1).strip()
+
+    dataset = _convert_to_link(re.sub(r"\s+", " ", dataset).strip())
+    framework = _convert_to_link(re.sub(r"\s+", " ", framework).strip())
+    return title, labels, dataset, framework
+
+
+def _add_table_entry(example, label, table_var):
+    title, labels, dataset, framework = _read_metadata(example)
+    example_name = Path(example).stem
+    table_entry = (
+        f"   * - `{title} <{example_name}.html>`_ \n     "
+        f"- {framework} \n     - {dataset} \n     - {labels}\n\n"
+    )
+    if label in labels:
+        categories[table_var]["table"] += table_entry
+        categories[table_var]["list"] += f"  {example_name}\n"
+        return True
+    return False
+
+
+def _copy_markdown_files(example):
+    for file in os.listdir(example):
+        if file.endswith(".md"):
+            src = os.path.join(example, file)
+            dest = os.path.join(
+                ROOT, "examples", "doc", "source", os.path.basename(example) + ".md"
+            )
+            shutil.copyfile(src, dest)
+
+
+def _add_gh_button(example):
+    gh_text = f'[<img src="_static/view-gh.png" alt="View on GitHub" width="200"/>](https://github.com/adap/flower/blob/main/examples/{example})'
+    readme_file = os.path.join(ROOT, "examples", "doc", "source", example + ".md")
+    with open(readme_file, "r+") as f:
+        content = f.read()
+        if gh_text not in content:
+            content = re.sub(
+                r"(^# .+$)", rf"\1\n\n{gh_text}", content, count=1, flags=re.MULTILINE
+            )
+            f.seek(0)
+            f.write(content)
+            f.truncate()
+
+
+def _copy_images(example):
+    static_dir = os.path.join(example, "_static")
+    dest_dir = os.path.join(ROOT, "examples", "doc", "source", "_static")
+    if os.path.isdir(static_dir):
+        for file in os.listdir(static_dir):
+            if file.endswith((".jpg", ".png", ".jpeg")):
+                shutil.copyfile(
+                    os.path.join(static_dir, file), os.path.join(dest_dir, file)
+                )
+
+
+def _add_all_entries(index_file):
+    examples_dir = os.path.join(ROOT, "examples")
+    for example in sorted(os.listdir(examples_dir)):
+        example_path = os.path.join(examples_dir, example)
+        if os.path.isdir(example_path) and example != "doc":
+            _copy_markdown_files(example_path)
+            _add_gh_button(example)
+            _copy_images(example)
+
+
+def _main():
+    if os.path.exists(INDEX):
+        os.remove(INDEX)
+
+    with open(INDEX, "w") as index_file:
+        index_file.write(initial_text)
+
+    examples_dir = os.path.join(ROOT, "examples")
+    for example in sorted(os.listdir(examples_dir)):
+        example_path = os.path.join(examples_dir, example)
+        if os.path.isdir(example_path) and example != "doc":
+            _copy_markdown_files(example_path)
+            _add_gh_button(example)
+            _copy_images(example_path)
+            if not _add_table_entry(example_path, "quickstart", "quickstart"):
+                if not _add_table_entry(example_path, "comprehensive", "comprehensive"):
+                    if not _add_table_entry(example_path, "advanced", "advanced"):
+                        _add_table_entry(example_path, "", "other")
+
+    with open(INDEX, "a") as index_file:
+        index_file.write(categories["quickstart"]["table"])
+
+        index_file.write("\nAdvanced Examples\n-----------------\n")
+        index_file.write(
+            "Advanced Examples are mostly for users that are both familiar with "
+            "Federated Learning but also somewhat familiar with Flower's main "
+            "features.\n"
+        )
+        index_file.write(categories["advanced"]["table"])
+
+        index_file.write("\nOther Examples\n--------------\n")
+        index_file.write(
+            "Flower Examples are a collection of example projects written with "
+            "Flower that explore different domains and features. You can check "
+            "which examples already exist and/or contribute your own example.\n"
+        )
+        index_file.write(categories["other"]["table"])
+
+        _add_all_entries(index_file)
+
+        index_file.write(
+            "\n.. toctree::\n  :maxdepth: 1\n  :caption: Quickstart\n  :hidden:\n\n"
+        )
+        index_file.write(categories["quickstart"]["list"])
+
+        index_file.write(
+            "\n.. toctree::\n  :maxdepth: 1\n  :caption: Advanced\n  :hidden:\n\n"
+        )
+        index_file.write(categories["advanced"]["list"])
+
+        index_file.write(
+            "\n.. toctree::\n  :maxdepth: 1\n  :caption: Others\n  :hidden:\n\n"
+        )
+        index_file.write(categories["other"]["list"])
+
+        index_file.write("\n")
+
+
+if __name__ == "__main__":
+    _main()
+    subprocess.call(f"cd {ROOT}/examples/doc && make html", shell=True)

examples/advanced-pytorch/README.md

@@ -1,3 +1,10 @@
+---
+title: Advanced Flower Example using PyTorch
+labels: [advanced, vision, fds]
+dataset: [CIFAR-10 | https://huggingface.co/datasets/uoft-cs/cifar10]
+framework: [torch | https://pytorch.org/, torchvision | https://pytorch.org/vision/stable/index.html]
+---
+
 # Advanced Flower Example (PyTorch)
 
 This example demonstrates an advanced federated learning setup using Flower with PyTorch. This example uses [Flower Datasets](https://flower.ai/docs/datasets/) and it differs from the quickstart example in the following ways:

examples/advanced-tensorflow/README.md

@@ -1,3 +1,10 @@
+---
+title: Advanced Flower Example using TensorFlow/Keras
+labels: [advanced, vision, fds]
+dataset: [CIFAR-10 | https://huggingface.co/datasets/uoft-cs/cifar10]
+framework: [tensorflow | https://www.tensorflow.org/, Keras | https://keras.io/]
+---
+
 # Advanced Flower Example (TensorFlow/Keras)
 
 This example demonstrates an advanced federated learning setup using Flower with TensorFlow/Keras. This example uses [Flower Datasets](https://flower.ai/docs/datasets/) and it differs from the quickstart example in the following ways:

examples/android-kotlin/README.md

@@ -1,3 +1,11 @@
+---
+title: Flower Android Example using Kotlin and TF Lite
+labels: [basic, vision, fds]
+dataset: [CIFAR-10 | https://huggingface.co/datasets/uoft-cs/cifar10]
+framework: [Android | https://www.android.com/, Kotlin | https://kotlinlang.org/,
+  TensorFlowLite | https://www.tensorflow.org/lite]
+---
+
 # Flower Android Client Example with Kotlin and TensorFlow Lite 2022
 
 This example is similar to the Flower Android Example in Java:

examples/android/README.md

@@ -1,3 +1,11 @@
+---
+title: Flower Android Example using Java and TF Lite
+labels: [basic, vision, fds]
+dataset: [CIFAR-10 | https://huggingface.co/datasets/uoft-cs/cifar10]
+framework: [Android | https://www.android.com/, Java | https://www.java.com/, TensorFlowLite
+      | https://www.tensorflow.org/lite]
+---
+
 # Flower Android Example (TensorFlowLite)
 
 This example demonstrates a federated learning setup with Android clients in a background thread. The training on Android is done on a CIFAR10 dataset using TensorFlow Lite. The setup is as follows:

examples/app-pytorch/README.md

@@ -1,3 +1,10 @@
+---
+title: Example Flower App using PyTorch
+labels: [basic, vision, fds]
+dataset: [CIFAR-10 | https://huggingface.co/datasets/uoft-cs/cifar10]
+framework: [torch | https://pytorch.org/, torchvision | https://pytorch.org/vision/stable/index.html]
+---
+
 # Flower App (PyTorch) 🧪
 
 > 🧪 = This example covers experimental features that might change in future versions of Flower