#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright 2017 <+YOU OR YOUR COMPANY+>.
#
# This is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 3, or (at your option)
# any later version.
#
# This software is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this software; see the file COPYING.  If not, write to
# the Free Software Foundation, Inc., 51 Franklin Street,
# Boston, MA 02110-1301, USA.
#

import numpy as np
from gnuradio import gr
import pmt

class set_gain(gr.basic_block):
    """
    docstring for block set_gain
    """
    def __init__(self, num_values, max_gain, min_gain, def_gain):
        gr.basic_block.__init__(self,
            name="set_gain",
            in_sig=[np.complex64],
            out_sig=[])
        self.message_port_register_out(pmt.intern("gain_port"))  ##name must match
                                                            ##name in XML file, I think
        self.num_values = num_values
        self.max_gain = max_gain
        self.min_gain = min_gain
        self.cur_gain = def_gain
        self.seen = 0       #keeps a count of how many samples have been seen

    def forecast(self, noutput_items, ninput_items_required):
        #setup size of input_items[i] for work call
        for i in range(len(ninput_items_required)):
            ninput_items_required[i] = noutput_items

    def general_work(self, input_items, output_items):
        in0 = input_items[0]
        self.seen+=in0.shape[0]
        if self.seen>self.num_values:
            self.cur_gain = (self.cur_gain + 1)%self.max_gain
            self.cur_gain = max(self.min_gain, self.cur_gain)
            key = pmt.to_pmt("gain")
            value = pmt.to_pmt(self.cur_gain)
            self.message_port_pub(pmt.intern('gain_port'), pmt.cons(key, value))
            self.seen = 0

        self.consume_each(in0.shape[0]) #consume everything you've account for
                                    # tell system to move on to next samples

        return 0        ##return 0 samples generated
                        ## as the block doesn't have an output stream