finsy

Finsy P4Runtime Controller Library

Finsy is a P4Runtime controller library written in Python using asyncio. Finsy includes support for gNMI.

Check out the examples directory for some demonstration programs.

Installation

Finsy requires Python 3.10 or later. To install the latest version, type pip install finsy.

P4Runtime Scripts

With Finsy, you can write a Python script that reads/writes P4Runtime entities for a single switch.

Here is a complete example that retrieves the P4Info from a switch:

import finsy as fy

async def main():
    async with fy.Switch("sw1", "127.0.0.1:50001") as sw1:
        # Print out a description of the switch's P4Info, if one is configured.
        print(sw1.p4info)

fy.run(main())

Here is another example that prints out all non-default table entries.

import finsy as fy

async def main():
    async with fy.Switch("sw1", "127.0.0.1:50001") as sw1:
        # Do a wildcard read for table entries.
        async for entry in sw1.read(fy.P4TableEntry()):
            print(entry)

fy.run(main())

P4Runtime Controller

You can also write a P4Runtime controller that manages multiple switches independently. Your controller can react to events from the Switch by changing the contents of P4 tables.

Each switch is managed by an async ready_handler function. Your ready_handler function can read or update various P4Runtime entities in the switch. It can also create tasks to listen for packets or digests.

When you write P4Runtime updates to the switch, you use a unary operator (+, -, ~) to specify the operation: INSERT (+), DELETE (-) or MODIFY (~).

import finsy as fy

async def ready_handler(sw: fy.Switch):
    await sw.delete_all()
    await sw.write(
        [
            # Insert (+) multicast group with ports 1, 2, 3 and CONTROLLER.
            +fy.P4MulticastGroupEntry(1, replicas=[1, 2, 3, 255]),
            # Modify (~) default table entry to flood all unmatched packets.
            ~fy.P4TableEntry(
                "ipv4",
                action=fy.Action("flood"),
                is_default_action=True,
            ),
        ]
    )

    async for packet in sw.read_packets():
        print(f"{sw.name}: {packet}")

Use the SwitchOptions class to specify each switch's settings, including the p4info/p4blob and ready_handler. Use the Controller class to drive multiple switch connections. Each switch will call back into your ready_handler function after the P4Runtime connection is established.

from pathlib import Path

options = fy.SwitchOptions(
    p4info=Path("hello.p4info.txt"),
    p4blob=Path("hello.json"),
    ready_handler=ready_handler,
)

controller = fy.Controller([
    fy.Switch("sw1", "127.0.0.1:50001", options),
    fy.Switch("sw2", "127.0.0.1:50002", options),
    fy.Switch("sw3", "127.0.0.1:50003", options),
])

fy.run(controller.run())

Your ready_handler can spawn concurrent tasks with the Switch.create_task method. Tasks created this way will have their lifetimes managed by the switch object.

If the switch disconnects or its role changes to backup, the task running your ready_handler (and any tasks it spawned) will be cancelled and the ready_handler will begin again.

For more examples, see the examples directory.

Switch Read/Write API

The Switch class provides the API for interacting with P4Runtime switches. You will control a Switch object with a "ready handler" function. The ready handler is an async function that is called when the switch is ready to accept commands.

Your ready handler will typically write some control entities to the switch, then listen for incoming events and react to them with more writes. You may occasionally read entities from the switch.

When your ready handler is invoked, there is already a P4Runtime channel established, with client arbitration completed, and pipeline configured as specified in SwitchOptions.

Here is an example skeleton program. The ready handler is named ready().

async def ready(switch: fy.Switch):
    # Check if switch is the primary. If not, we may want to proceed
    # in read-only mode. In this example, ignore switch if it's a backup.
    if not switch.is_primary:
        return

    # If we're reconnecting to a switch, it will already have runtime state.
    # In this example, we just delete all entities and start over.
    await switch.delete_all()

    # Provision the pipeline with one or more `write` transactions. Each
    # `write` is a single WriteRequest which may contain multiple updates.
    await switch.write(
        # [Next section will cover what goes here.]
    )

    # Listen for events and respond to them. This "infinite" loop will
    # continue until the Switch disconnects, changes primary/backup status,
    # or the controller is stopped.
    async for packet in switch.read_packets():
        await handle_packet(switch, packet)

The Switch class provides a switch.create_task method to start a managed task. Tasks allow you to perform concurrent operations on the same switch. We could have written the last stanza above that reads packets in an infinite loop as a separate task. It's okay for the ready handler function to return early; any tasks it created will still run.

Writes

Use the write() method to write one or more P4Runtime updates and packets.

A P4Runtime update supports one of three operations: INSERT, MODIFY or DELETE. Some entities support all three operations. Other entities only support MODIFY.

Entity	Operations Permitted	Related Classes
P4TableEntry	INSERT, MODIFY, DELETE	Match, Action, IndirectAction, P4MeterConfig, P4CounterData, P4MeterCounterData
P4ActionProfileMember	INSERT, MODIFY, DELETE
P4ActionProfileGroup	INSERT, MODIFY, DELETE	P4Member
P4MulticastGroupEntry	INSERT, MODIFY, DELETE
P4CloneSessionEntry	INSERT, MODIFY, DELETE
P4DigestEntry	INSERT, MODIFY, DELETE
P4ExternEntry	INSERT, MODIFY, DELETE
P4RegisterEntry	MODIFY
P4CounterEntry	MODIFY	P4CounterData
P4DirectCounterEntry	MODIFY	P4CounterData
P4MeterEntry	MODIFY	P4MeterConfig, P4MeterCounterData
P4DirectMeterEntry	MODIFY
P4ValueSetEntry	MODIFY	P4ValueSetMember

Insert/Modify/Delete Updates

To specify the operation, use a unary + (INSERT), ~ (MODIFY), or - (DELETE). If you do not specify the operation, write will raise a ValueError exception.

Here is an example showing how to insert and delete two different entities in the same WriteRequest.

await switch.write([
    +fy.P4TableEntry(          # unary + means INSERT
        "ipv4", 
        match=fy.Match(dest="192.168.1.0/24"),
        action=fy.Action("forward", port=1),
    ),
    -fy.P4TableEntry(          # unary - means DELETE
        "ipv4", 
        match=fy.Match(dest="192.168.2.0/24"),
        action=fy.Action("forward", port=2),
    ),
])

You should not insert, modify or delete the same entry in the same WriteRequest.

If you are performing the same operation on all entities, you can use the Switch insert, delete, or modify methods.

await switch.insert([
    fy.P4MulticastGroupEntry(1, replicas=[1, 2, 3]),
    fy.P4MulticastGroupEntry(2, replicas=[4, 5, 6]),
])

Modify-Only Updates

For entities that only support the modify operation, you do not need to specify the operation. (You can optionally use ~.)

await switch.write([
    fy.P4RegisterEntry("reg1", index=0, data=0),
    fy.P4RegisterEntry("reg1", index=1, data=1),
    fy.P4RegisterEntry("reg1", index=2, data=2),
])

You can also use the modify method:

await switch.modify([
    fy.P4RegisterEntry("reg1", index=0, data=0),
    fy.P4RegisterEntry("reg1", index=1, data=1),
    fy.P4RegisterEntry("reg1", index=2, data=2),
])

If you pass a modify-only entity to the insert or delete methods, the P4Runtime server will return an error.

Sending Packets

Use the write method to send a packet.

await switch.write([fy.P4PacketOut(b"a payload.....", port=3)])

You can include other entities in the same call. Any non-update objects (e.g. P4PacketOut, P4DigestListAck) will be sent before the WriteRequest.

Listening for Packets

To receive packets, use the async iterator Switch.read_packets(). In this example, pkt is a P4PacketIn object.

read_packets can filter for a specific eth_type.

# Read packets filtering only for ARP (eth_type == 0x0806).
async for pkt in switch.read_packets(eth_types={0x0806}):
    # You can access the packet payload `pkt.payload` or any metadata value,
    # e.g. `pkt['ingress_port']`
    print(pkt.payload)
    print(pkt['ingress_port'])

Listening for Digests

To receive digests, use the async iterator Switch.read_digests. You must specify the name of the digest from your P4 program.

async for digest in switch.read_digests("digest_t"):
    # You can access the digest metadata e.g. `digest['ingress_port']`
    # Your code may need to update table entries based on the digest data.
    # To ack the digest, write `digest.ack()`.
    await switch.write([entry, ...])
    await switch.write([digest.ack()])

To acknowledge the digest entry, you can write digest.ack().

Listening for Idle Timeouts

To receive idle timeout notifications, use the async iterator Switch.read_idle_timeouts. You will receive a P4IdleTimeoutNotification which contains multiple table entries -- one for each entry that timed out.

async for timeout in switch.read_idle_timeouts():
    for entry in timeout.table_entry:
        print(timeout.timestamp, entry)

Other Events

A P4 switch may report other events using the EventEmitter API. See the SwitchEvent class for the event types. Each switch has a switch.ee attribute that lets your code register for event callbacks.

Development and Testing

Perform these steps to set up your local environment for Finsy development, or try the codespace. Finsy requires Python 3.10 or later. If poetry is not installed, follow these directions to install it.

Clone and Prepare a Virtual Environment

The poetry install command installs all development dependencies into the virtual environment (venv).

$ git clone https://github.com/byllyfish/finsy.git
$ cd finsy
$ python3 -m venv .venv
$ poetry install

Run Unit Tests

When you run pytest from the top level of the repository, you will run the unit tests.

$ poetry run pytest

Run Integration Tests

When you run pytest from within the examples directory, you will run the integration tests instead of the unit tests. The integration tests run the example programs against a Mininet network. Docker or podman are required.

$ cd examples
$ poetry run pytest

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