Public and private APIs#

In Python, everything is public. To enable developers to understand which components can be relied upon, Flower declares a public API. Components that are part of the public API can be relied upon. Changes to the public API are announced in the release notes and are subject to deprecation policies.

Everything that is not part of the public API is part of the private API. Even though Python allows accessing them, user code should never use those components. Private APIs can change at any time, even in patch releases.

How can you determine whether a component is part of the public API or not? Easy:

Everything listed in the reference documentation is part of the public API. This document explains how Flower maintainers define the public API and how you can determine whether a component is part of the public API or not by reading the Flower source code.

Flower public API#

Flower has a well-defined public API. Let's look at this in more detail.

重要

Every component that is reachable by recursively following __init__.__all__ starting from the root package (flwr) is part of the public API.

If you want to determine whether a component (class/function/generator/...) is part of the public API or not, you need to start at the root of the flwr package. Let's use tree -L 1 -d src/py/flwr to look at the Python sub-packages contained flwr:

flwr
├── cli
├── client
├── common
├── proto
├── server
└── simulation

Contrast this with the definition of __all__ in the root src/py/flwr/__init__.py:

# From `flwr/__init__.py`
__all__ = [
    "client",
    "common",
    "server",
    "simulation",
]

You can see that flwr has six subpackages (cli, client, common, proto, server, simulation), but only four of them are "exported" via __all__ (client, common, server, simulation).

What does this mean? It means that client, common, server and simulation are part of the public API, but cli and proto are not. The flwr subpackages cli and proto are private APIs. A private API can change completely from one release to the next (even in patch releases). It can change in a breaking way, it can be renamed (for example, flwr.cli could be renamed to flwr.command) and it can even be removed completely.

Therefore, as a Flower user:

  • from flwr import client ✅ Ok, you're importing a public API.

  • from flwr import proto ❌ Not recommended, you're importing a private API.

What about components that are nested deeper in the hierarchy? Let's look at Flower strategies to see another typical pattern. Flower strategies like FedAvg are often imported using from flwr.server.strategy import FedAvg. Let's look at src/py/flwr/server/strategy/__init__.py:

from .fedavg import FedAvg as FedAvg
# ... more imports

__all__ = [
    "FedAvg",
    # ... more exports
]

What's notable here is that all strategies are implemented in dedicated modules (e.g., fedavg.py). In __init__.py, we import the components we want to make part of the public API and then export them via __all__. Note that we export the component itself (for example, the FedAvg class), but not the module it is defined in (for example, fedavg.py). This allows us to move the definition of FedAvg into a different module (or even a module in a subpackage) without breaking the public API (as long as we update the import path in __init__.py).

Therefore:

  • from flwr.server.strategy import FedAvg ✅ Ok, you're importing a class that is part of the public API.

  • from flwr.server.strategy import fedavg ❌ Not recommended, you're importing a private module.

This approach is also implemented in the tooling that automatically builds API reference docs.

Flower public API of private packages#

We also use this to define the public API of private subpackages. Public, in this context, means the API that other flwr subpackages should use. For example, flwr.server.driver is a private subpackage (it's not exported via src/py/flwr/server/__init__.py's __all__).

Still, the private sub-package flwr.server.driver defines a "public" API using __all__ in src/py/flwr/server/driver/__init__.py:

from .driver import Driver
from .grpc_driver import GrpcDriver
from .inmemory_driver import InMemoryDriver

__all__ = [
    "Driver",
    "GrpcDriver",
    "InMemoryDriver",
]

The interesting part is that both GrpcDriver and InMemoryDriver are never used by Flower framework users, only by other parts of the Flower framework codebase. Those other parts of the codebase import, for example, InMemoryDriver using from flwr.server.driver import InMemoryDriver (i.e., the InMemoryDriver exported via __all__), not from flwr.server.driver.in_memory_driver import InMemoryDriver (in_memory_driver.py is the module containing the actual InMemoryDriver class definition).

This is because flwr.server.driver defines a public interface for other flwr subpackages. This allows codeowners of flwr.server.driver to refactor the package without breaking other flwr-internal users.