tres/lib/openflow/actions/nx_learn2.ex
2017-11-13 22:52:53 +09:00

106 lines
4 KiB
Elixir

defmodule Openflow.Action.NxLearn2 do
defstruct(
idle_timeout: 0,
hard_timeout: 0,
priority: 0,
cookie: 0,
flags: [],
table_id: 0,
fin_idle_timeout: 0,
fin_hard_timeout: 0,
limit: 0,
result_dst_offset: 0,
result_dst: nil,
flow_specs: []
)
@experimenter 0x00002320
@nxast 45
alias __MODULE__
def new(options) do
idle = Keyword.get(options, :idle_timeout, 0)
hard = Keyword.get(options, :hard_timeout, 0)
prio = Keyword.get(options, :priority, 0)
cookie = Keyword.get(options, :cookie, 0)
flags = Keyword.get(options, :flags, [])
table_id = Keyword.get(options, :table_id, 0)
fin_idle = Keyword.get(options, :fin_idle_timeout, 0)
fin_hard = Keyword.get(options, :fin_hard_timeout, 0)
flow_specs = Keyword.get(options, :flow_specs, [])
limit = Keyword.get(options, :limit, 0)
result_dst_offset = Keyword.get(options, :result_dst_offset, 0)
result_dst = Keyword.get(options, :result_dst)
%NxLearn2{idle_timeout: idle,
hard_timeout: hard,
priority: prio,
cookie: cookie,
flags: flags,
table_id: table_id,
fin_idle_timeout: fin_idle,
fin_hard_timeout: fin_hard,
limit: limit,
result_dst_offset: result_dst_offset,
result_dst: result_dst,
flow_specs: flow_specs}
end
def to_binary(%NxLearn2{idle_timeout: idle,
hard_timeout: hard,
priority: prio,
cookie: cookie,
flags: flags,
table_id: table_id,
fin_idle_timeout: fin_idle,
fin_hard_timeout: fin_hard,
limit: limit,
result_dst_offset: result_dst_ofs,
result_dst: result_dst,
flow_specs: flow_specs}) do
flags_int = Openflow.Enums.flags_to_int(flags, :nx_learn_flag)
result_dst_bin = if :write_result in flags do
Openflow.Match.codec_header(result_dst)
else
""
end
flow_specs_bin = Openflow.Action.NxFlowSpec.to_binary(flow_specs)
exp_body = <<@experimenter::32, @nxast::16, idle::16, hard::16,
prio::16, cookie::64, flags_int::16, table_id::8,
0::size(1)-unit(8), fin_idle::16, fin_hard::16,
limit::32, result_dst_ofs::16, 0::size(2)-unit(8),
result_dst_bin::bytes, flow_specs_bin::bitstring>>
exp_body_size = byte_size(exp_body)
padding_length = Openflow.Utils.padding(4 + exp_body_size, 8)
length = 4 + exp_body_size + padding_length
<<0xffff::16, length::16, exp_body::bytes, 0::size(padding_length)-unit(8)>>
end
def read(<<@experimenter::32, @nxast::16, body::bytes>>) do
<<idle::16, hard::16, prio::16, cookie::64, flags_int::16, table_id::8,
0::8, fin_idle::16, fin_hard::16, limit::32,
result_dst_ofs::16, 0::size(2)-unit(8), rest::bytes>> = body
flags = Openflow.Enums.int_to_flags(flags_int, :nx_learn_flag)
learn = %NxLearn2{idle_timeout: idle,
hard_timeout: hard,
priority: prio,
cookie: cookie,
flags: flags,
table_id: table_id,
fin_idle_timeout: fin_idle,
fin_hard_timeout: fin_hard,
limit: limit,
result_dst_offset: result_dst_ofs}
if :write_result in flags do
header_size = Openflow.Match.header_size(rest)
<<result_dst_bin::size(header_size)-bytes, flow_specs_bin::bytes>> = rest
result_dst = Openflow.Match.codec_header(result_dst_bin)
flow_specs = Openflow.Action.NxFlowSpec.read(flow_specs_bin)
struct(learn, %{result_dst: result_dst, flow_specs: flow_specs})
else
<<flow_specs_bin::bytes>> = rest
flow_specs = Openflow.Action.NxFlowSpec.read(flow_specs_bin)
struct(learn, %{flow_specs: flow_specs})
end
end
end