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cps-import-builder.py
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cps-import-builder.py
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#!/usr/bin/env python
# coding: utf-8
#
# This script reads generic, textual zone, talkgroup, and channel definition
# files (CVS format) and then generates files suitable for import into any
# or all of the supported CPS import formats.
#
# Input files are compatible with those used by K7ABD's Anytone Config Builder.
#
import pandas
import csv
import sys
import os
import time
import glob
import argparse
import re
#
# Our internal channel dictionary contains a set of channel
# attributes which are in stored in a dictionary for that
# channel. Here are the keys available in the attribute dict:
#
# Key Comments
# 'Ch Type' Analog or Digital
# 'RX Freq' Receive frequency of the channel
# 'TX Freq' Transmit frequency of the channel
# 'Power' Power level to operate at Low,Medium,High,Turbo
# (Turbo & High are equivalent when not supported)
# 'Bandwidth' Channel bandwidth 12.5 or 25
# 'CTCSS Decode' Rx tone decode value
# 'CTCSS Encode' Tx tone encode value
# 'RX Only' Make channel receive only if set to "On"
#
# Additional attributes for a digital channel:
#
# Key
# 'Color Code' Integer val 1-14
# 'Talk Group' Contact/TG Name
# 'Time Slot' "1" or "2"
# 'Call Type' "Group Call" or "Private Call"
# 'TX Permit' "Same Color Code" or "Always"
# global lists of all CTCSS values
ctcss_list = ['67','67.0','69.4','71.9','74.4','77','77.0','79.7','82.5','85.4',
'88.5','91.5','94.8','97.4','100','100.0','103.5','107.2',
'110.9','114.8','118.8','123','123.0','127.3','131.8','136.5',
'141.3','146.2','150','150.0','151.4','156.7','159.8',
'162.2','165.5','167.9','171.3','173.8','177.3','179.9',
'183.5','186.2','189.9','192.8','196.6','199.5','203.5',
'206.5','210.7','218.1','225.7','229.1','233.6','241.8',
'250.3','254.1']
cdcss_list = ['D023N','D025N','D026N','D031N','D032N','D043N','D047N','D051N',
'D054N','D065N','D071N','D072N','D073N','D074N','D114N','D115N',
'D116N','D125N','D131N','D132N','D134N','D143N','D152N','D155N',
'D156N','D162N','D165N','D172N','D174N','D205N','D223N','D226N',
'D243N','D244N','D245N','D251N','D261N','D263N','D265N','D271N',
'D306N','D311N','D315N','D331N','D343N','D346N','D351N','D364N',
'D365N','D371N','D411N','D412N','D413N','D423N','D431N','D432N',
'D445N','D464N','D465N','D466N','D503N','D506N','D516N','D532N',
'D546N','D565N','D606N','D612N','D624N','D627N','D631N','D632N',
'D654N','D662N','D664N','D703N','D712N','D723N','D731N','D732N',
'D734N','D743N','D754N']
def anytone_write_zones_export(zones_dict, zones_order_list,
zones_export_file, channels_dict, model, debug=False):
"""This function writes out an Anytone zones import/export file"""
if debug:
print("Preparing Zones Export File...")
# Create a dataframe from the zones dict
header_row_868 = ['No.','Zone Name','Zone Channel Member',
'A Channel','B Channel']
header_row_878 = ['No.','Zone Name','Zone Channel Member',
'Zone Channel Member RX Frequency',
'Zone Channel Member TX Frequency',
'A Channel','A Channel RX Frequency',
'A Channel TX Frequency',
'B Channel','B Channel RX Frequency',
'B Channel TX Frequency']
zones_out_dict = {}
zones_not_ordered_list = []
cnt = 1
for zone_name in zones_dict.keys():
if debug:
print(" Adding zone {} with following members:".format(zone_name))
print(" ", zones_dict[zone_name])
row_list = []
row_list.append(str(cnt))
cnt = cnt + 1
row_list.append(zone_name)
# build Zone Channel Member string from list
zone_member_list = sorted(zones_dict[zone_name])
member_str = '|'.join(zone_member_list)
if debug:
print(" Member string: '{}'".format(member_str))
row_list.append(member_str)
if model != "868":
# build Zone Channel Rx Freq string
rx_freq_list = []
for member in zone_member_list:
channel_rx_freq = str(channels_dict[member]['RX Freq'])
rx_freq_list.append(channel_rx_freq)
rx_freq_str = '|'.join(rx_freq_list)
row_list.append(rx_freq_str)
# build Zone Channel Tx Freq string
tx_freq_list = []
for member in zone_member_list:
channel_tx_freq = str(channels_dict[member]['TX Freq'])
tx_freq_list.append(channel_tx_freq)
tx_freq_str = '|'.join(tx_freq_list)
row_list.append(tx_freq_str)
# now use first member channel info as the "A" & "B" VFO default
first_member_name = zones_dict[zone_name][0]
attr_dict = channels_dict[first_member_name]
row_list.append(first_member_name)
if model != "868":
row_list.append(attr_dict['RX Freq'])
row_list.append(attr_dict['TX Freq'])
row_list.append(first_member_name)
if model != "868":
row_list.append(attr_dict['RX Freq'])
row_list.append(attr_dict['TX Freq'])
zones_out_dict.update({zone_name:row_list})
if zone_name not in zones_order_list:
zones_not_ordered_list.append(row_list)
# Build zones_out_list to match zones_order_list; all the rest of the zones
# go to bottom of list in the order they were processed
zones_out_list = []
for zone_name in zones_order_list:
if zone_name in zones_out_dict.keys():
if debug:
print(" Adding zone to zones_out_list: {}".format(zone_name))
zones_out_list.append(zones_out_dict[zone_name])
else:
print("Warning: Zone '{}' specified in Zones_Order.csv file not used!".format(zone_name))
for i in range(len(zones_not_ordered_list)):
if debug:
print(" Adding zone to zones_out_list: {}".format(zones_not_ordered_list[i][1]))
zones_out_list.append(zones_not_ordered_list[i])
# Output our Zones dataframe
if model == "868":
zones_out_df = pandas.DataFrame(zones_out_list, columns=header_row_868)
else:
# 578 and 878 zone files are the same
zones_out_df = pandas.DataFrame(zones_out_list, columns=header_row_878)
# renumber the "No." column to match new order
for i in range(len(zones_out_df.index)):
zones_out_df.at[i, 'No.'] = i+1
if debug:
print("Writing output to: ", zones_export_file)
zones_out_df.to_csv(zones_export_file, index=False, header=True, quoting=csv.QUOTE_ALL,
line_terminator='\r\n')
# clean up...
del zones_out_list
del zones_out_df
return
def anytone_write_talk_groups_export(talk_groups_dict,
talk_groups_export_file, debug=False):
"""This function writes out an Anytone D878 talk groups file"""
# Create a dataframe from the talk groups dict and output it...
header_row = ['No.','Radio ID','Name','Call Type','Call Alert']
talk_groups_out_list = []
cnt = 1
for tg_id in sorted(talk_groups_dict.keys()):
row_list = []
row_list.append(str(cnt))
cnt = cnt + 1
row_list.append(tg_id)
tg_name = talk_groups_dict[tg_id][0]
if len(tg_name) > 16:
print("WARNING: TG Name '{}' > 16, truncating to '{}'".format(
tg_name,tg_name[:16]))
row_list.append(tg_name[:16])
tg_call_type = talk_groups_dict[tg_id][1]
row_list.append(tg_call_type)
tg_call_alert = talk_groups_dict[tg_id][2]
row_list.append(tg_call_alert)
talk_groups_out_list.append(row_list)
talk_groups_out_df = pandas.DataFrame(talk_groups_out_list,
columns=header_row)
if debug:
print("Writing output to: ", talk_groups_export_file)
talk_groups_out_df.to_csv(talk_groups_export_file, index=False,
header=True, quoting=csv.QUOTE_ALL, line_terminator='\r\n')
# clean up...
del talk_groups_out_list
del talk_groups_out_df
return
def anytone_write_channels_export(channels_dict, channels_export_file,
model, debug=False):
"""This function writes out an Anytone D878 channels import/export file"""
# Header for Anytone 868
header_row_868 = ['No.','Channel Name','Receive Frequency',
'Transmit Frequency','Channel Type','Transmit Power',
'Band Width','CTCSS/DCS Decode','CTCSS/DCS Encode',
'Contact','Contact Call Type','Radio ID',
'Busy Lock/TX Permit','Squelch Mode','Optional Signal',
"DTMF ID",'2Tone ID','5Tone ID','PTT ID','Color Code',
'Slot','CH Scan List','Receive Group List','TX Prohibit',
'Reverse','Simplex TDMA','TDMA Adaptive',
'Encryption Type','Digital Encryption',
'Call Confirmation','Talk Around','Work Alone',
'Custom CTCSS','2TONE Decode','Ranging','Through Mode',
'APRS Report','APRS Report Channel']
# Header for Anytone 578
header_row_578 = ['No.','Channel Name','Receive Frequency',
'Transmit Frequency','Channel Type','Transmit Power',
'Band Width','CTCSS/DCS Decode','CTCSS/DCS Encode',
'Contact','Contact Call Type','Contact TG/DMR ID','Radio ID',
'Busy Lock/TX Permit','Squelch Mode','Optional Signal',
"DTMF ID",'2Tone ID','5Tone ID','PTT ID','Color Code',
'Slot','Scan List','Receive Group List','PTT Prohibit',
'Reverse','TDMA','TDMA Adaptive',
'AES Digital Encryption','Digital Encryption',
'Call Confirmation','Talk Around(Simplex)','Work Alone',
'Custom CTCSS','2TONE Decode','Ranging','Simplex',
'Digi APRS RX','Analog APRS PTT Mode',
'Digital APRS PTT Mode','APRS Report Type',
'Digital APRS Report Channel','Correct Frequency[Hz]',
'SMS Confirmation','Exclude channel from roaming',
'DMR MODE','DataACK Disable','R5toneBot','R5ToneEot']
# Header for Anytone 878
header_row_878 = ['No.','Channel Name','Receive Frequency',
'Transmit Frequency','Channel Type','Transmit Power',
'Band Width','CTCSS/DCS Decode','CTCSS/DCS Encode',
'Contact','Contact Call Type','Contact TG/DMR ID','Radio ID',
'Busy Lock/TX Permit','Squelch Mode','Optional Signal',
"DTMF ID",'2Tone ID','5Tone ID','PTT ID','Color Code',
'Slot','Scan List','Receive Group List','PTT Prohibit',
'Reverse','Simplex TDMA','Slot Suit',
'AES Digital Encryption','Digital Encryption',
'Call Confirmation','Talk Around(Simplex)','Work Alone',
'Custom CTCSS','2TONE Decode','Ranging','Through Mode',
'Digi APRS RX','Analog APRS PTT Mode',
'Digital APRS PTT Mode','APRS Report Type',
'Digital APRS Report Channel','Correct Frequency[Hz]',
'SMS Confirmation','Exclude channel from roaming',
'DMR MODE','DataACK Disable','R5toneBot','R5ToneEot']
# Create a dataframe from the channels dict and output it...
channels_out_list = []
cnt = 1
for ch_name in channels_dict.keys():
# get channel attributes dictionary
attr_dict = channels_dict[ch_name]
# now fill out this row in correct order for Anytone 878
row_list = []
row_list.append(str(cnt))
cnt = cnt + 1
row_list.append(ch_name)
row_list.append(attr_dict['RX Freq']) # Receive Frequency
row_list.append(attr_dict['TX Freq']) # Transmit Frequency
ch_type = attr_dict['Ch Type']
if ch_type == "Analog":
row_list.append("A-Analog")
else:
row_list.append("D-Digital") # Channel Type
# get power and translate "High" to "Turbo"
rf_power = attr_dict['Power']
if rf_power == "High":
rf_power = "Turbo"
row_list.append(rf_power) # Transmit Power
row_list.append(attr_dict['Bandwidth']) # Bandwidth
row_list.append(attr_dict['CTCSS Decode']) # CTCSS/DCS Decode
row_list.append(attr_dict['CTCSS Encode']) # CTCSS/DCS Encode
if ch_type == "Analog":
# use fixed items
row_list.append("0_Analog") # Talk Group
row_list.append("Group Call") # Contact Call Type
if model != "868":
row_list.append("0") # Contact TG/DMR ID
row_list.append("none") # Radio ID
row_list.append("0") # Busy Lock/TX Permit
else:
# use digital channel attributes
row_list.append(attr_dict['Talk Group'])# Talk Group
row_list.append(attr_dict['Call Type']) # Contact Call Type
if model != "868":
row_list.append(attr_dict['TG Number']) # Contact TG/DMR ID
row_list.append("My_DMR_ID") # Radio ID
row_list.append(attr_dict['TX Permit']) # Busy Lock/TX Permit
row_list.append("Carrier") # Squelch Mode
row_list.append("Off") # Optional Signal
row_list.append("1") # DTMF ID
row_list.append("1") # 2Tone ID
row_list.append("1") # 5Tone ID
row_list.append("Off") # PTT ID
if ch_type == "Analog":
# use fixed items
row_list.append("1") # Color Code
row_list.append("1") # Time Slot
else:
# use digital channel attributes
row_list.append(attr_dict['Color Code'])# Color Code
row_list.append(attr_dict['Time Slot']) # Time Slot
row_list.append("None") # Scan List
row_list.append("None") # Receive Group List
row_list.append(attr_dict['RX Only']) # PTT Prohibit
row_list.append("Off") # Reverse
row_list.append("Off") # Simplex TDMA
row_list.append("Off") # TDMA Adaptive
row_list.append("Normal Encryption") # AES Digital Encryption
row_list.append("Off") # Digital Encryption
row_list.append("Off") # Call Confirmation
row_list.append("Off") # Talk Around
row_list.append("Off") # Work Alone
row_list.append("251.1") # Custom CTCSS
row_list.append("1") # 2TONE Decode
row_list.append("Off") # Ranging
row_list.append("Off") # Through Mode
if model == "868":
row_list.append("Off") # APRS Report
row_list.append("1") # APRS Channel
else:
row_list.append("Off") # Digi APRS RX
row_list.append("Off") # Analog APRS PTT Mode
row_list.append("Off") # Digital APRS PTT Mode
row_list.append("Off") # APRS Report Type
row_list.append("1") # Digtial APRS Report Channel
row_list.append("0") # Correct Frequency[Hz]
row_list.append("Off") # SMS Confirmation
row_list.append("0") # Exclude channel from roaming
# calculate DMR Mode
if (attr_dict['RX Freq'] == attr_dict['TX Freq']):
# assume simplex mode
row_list.append(0)
else:
row_list.append(1)
row_list.append("0") # DataACK Disable
row_list.append("0") # R5toneBot
row_list.append("0") # R5ToneEot
# now add this row to the channels list
channels_out_list.append(row_list)
if model == "868":
channels_out_df = pandas.DataFrame(channels_out_list,
columns=header_row_868)
elif model == "578":
channels_out_df = pandas.DataFrame(channels_out_list,
columns=header_row_578)
else:
channels_out_df = pandas.DataFrame(channels_out_list,
columns=header_row_878)
# Group channels by Channel Type (analog then digital)
channels_out_df.sort_values(by=['Channel Type','Channel Name'],
inplace=True)
channels_out_df.reset_index(drop=True, inplace=True)
# renumber the "No." column to match new order
for i in range(len(channels_out_df.index)):
channels_out_df.at[i, 'No.'] = i+1
if debug:
print("Writing output to: ", channels_export_file)
channels_out_df.to_csv(channels_export_file, index=False,
header=True, quoting=csv.QUOTE_ALL, line_terminator='\r\n')
return
def cs800d_write_channels_export(channels_dict, channels_export_file,
debug=False):
"""This function writes out a CS800D CPS formatted channels file"""
analog_header_row = ['No','Channel Alias','Squelch Level',
'Channel Band[KHz]','Personality List','Scan List',
'Auto Scan Start','Rx Only','Talk Around',
'Lone Worker','VOX','Scrambler','Emp De-emp',
'Receive Frequency',
'RX CTCSS/CDCSS Type','CTCSS/CDCSS',
'RX Ref Frequency','Rx Squelch Mode',
'Monitor Squelch Mode',
'Channel Switch Squelch Mode',
'Transmit Frequency',
'TX CTCSS/CDCSS Type','CTCSS/CDCSS',
'TX Ref Frequency','Power Level','Tx Admit',
'Reverse Burst/Turn off code',
'TX Time-out Time[s]','TOT Re-key Time[s]',
'TOT Pre-Alert Time[s]',
'CTCSS Tail Revert Option']
digital_header_row = ['No','Channel Alias','Digital Id', 'Color Code',
'Time Slot','Scan List','Auto Scan Start','Rx Only',
'Talk Around', 'Lone Worker', 'VOX',
'Receive Frequency',
'RX Ref Frequency', 'RX Group List',
'Emergency Alarm Indication',
'Emergency Alarm Ack','Emergency Call Indication',
'Transmit Frequency',
'TX Ref Frequency','TX Contact',
'Emergency System', 'Power Level','Tx Admit',
'TX Time-out Time[s]','TOT Re-key Time[s]',
'TOT Pre-Alert Time[s]','Private Call Confirmed',
'Data Call Confirmed','Encrypt']
# setup analog channels dataframe
analog_channels_out_list = []
cnt = 1
total_channel_cnt = 0
for ch_name in sorted(channels_dict.keys()):
ch_type = channels_dict[ch_name]['Ch Type']
# skip non-analog channels
if ch_type != 'Analog':
continue
# get channel attributes dictionary
attr_dict = channels_dict[ch_name]
# now fill out this row in correct order for cs800d
row_list = []
row_list.append(str(cnt))
cnt = cnt + 1
row_list.append(ch_name) # Channel Alias
row_list.append("Normal") # Squelch level
row_list.append(attr_dict['Bandwidth']) # Channel Bandwidth
row_list.append("Personality 1") # Personality
row_list.append("None") # scan list
row_list.append("Off") # auto scan start
row_list.append(attr_dict['RX Only']) # Rx Only
row_list.append("Off") # Talk around
row_list.append("Off") # Lone Worker
row_list.append("Off") # VOX
row_list.append("Off") # Scrambler
row_list.append("Off") # Emp De-emp
row_list.append(attr_dict['RX Freq']) # Receive Frequency
# RX CTCSS/CDCSS Type & set rx_squelch_mode
ctcss_dcs_decode_val = str(attr_dict['CTCSS Decode'])
if ctcss_dcs_decode_val == "Off":
row_list.append("NONE")
row_list.append("NONE")
rx_squelch_mode = "CTCSS/DCS and Audio"
elif ctcss_dcs_decode_val in ctcss_list:
row_list.append("CTCSS")
row_list.append(float(ctcss_dcs_decode_val))
rx_squelch_mode = "CTCSS/DCS and Audio"
elif ctcss_dcs_decode_val in cdcss_list:
row_list.append("CDCSS")
row_list.append(ctcss_dcs_decode_val[1:4])
rx_squelch_mode = "CTCSS/DCS and Audio"
else:
# we should never get here!
print("ERROR: Invalid ctcss_dcs_decode_val '{}'".format(
ctcss_dcs_decode_val))
sys.exit(-1)
# Compute RX Ref Frequency
if float(attr_dict['RX Freq']) > 180.0:
row_list.append("Low") # RX Ref Frequency (VHF/2 meters)
else:
row_list.append("Low") # RX Ref Frequency (UHF/70cm )
row_list.append(rx_squelch_mode) # Rx squelch mode
row_list.append("Carrier") # Monitor squelch mode
row_list.append("RX Squelch Mode") # Channel switch squelch mode
row_list.append(attr_dict['TX Freq']) # Transmit Frequency
# TX CTCSS/CDCSS Type
ctcss_dcs_encode_val = str(attr_dict['CTCSS Encode'])
if ctcss_dcs_encode_val == "Off":
row_list.append("NONE")
row_list.append("NONE")
elif ctcss_dcs_encode_val in ctcss_list:
row_list.append("CTCSS")
row_list.append(float(ctcss_dcs_encode_val))
elif ctcss_dcs_encode_val in cdcss_list:
row_list.append("CDCSS")
row_list.append(ctcss_dcs_encode_val[1:4])
else:
# we should never get here!
print("ERROR: Invalid ctcss_dcs_encode_val '{}'".format(
ctcss_dcs_encode_val))
sys.exit(-1)
# Compute TX Ref Frequency
if float(attr_dict['TX Freq']) > 180.0:
row_list.append("Middle") # TX Ref Frequency (VHF/2 meters)
else:
row_list.append("Low") # TX Ref Frequency (UHF/70cm )
# Power level
power_level = attr_dict['Power']
if power_level in ['Turbo','High']:
row_list.append("High")
else:
row_list.append("Low")
row_list.append("Always Allow") # TX Admit
row_list.append("Off") # Reverse Burst/Turn off code
row_list.append("180") # TX Time-out Time[s]
row_list.append("0") # TOT Re-key Time[s]
row_list.append("10") # TOT Pre-Alert Time[s]
row_list.append("120") # CTCSS Tail Revert Option
# now add the row for this channel to our analog channels list
analog_channels_out_list.append(row_list)
# Need to ensure max channel count isn't reached
total_channel_cnt += 1
if total_channel_cnt > 2000:
print(" ERROR: Maximum channel count (2000) exceeded.")
print("Aborting...")
sys.exit(-1)
# create the analog channels data frame
analog_channels_out_df = pandas.DataFrame(analog_channels_out_list,
columns=analog_header_row)
# setup digital channels dataframe
digital_channels_out_list = []
cnt = 1
for ch_name in sorted(channels_dict.keys()):
ch_type = channels_dict[ch_name]['Ch Type']
# skip analog channels
if ch_type != 'Digital':
continue
# get channel attributes dictionary
attr_dict = channels_dict[ch_name]
# now fill out this row in correct order for cs800d
row_list = []
row_list.append(str(cnt))
cnt = cnt + 1
row_list.append(ch_name) # Channel Alias
row_list.append("0") # Digital ID
row_list.append(attr_dict['Color Code']) # Color Code
if str(attr_dict['Time Slot']) == '1': # Time Slot
row_list.append("Slot 1")
else:
row_list.append("Slot 2")
row_list.append("None") # Scan List
row_list.append("Off") # Auto Scan Start
row_list.append(attr_dict['RX Only']) # Rx Only
row_list.append("Off") # Talk around
row_list.append("Off") # Lone Worker
row_list.append("Off") # VOX
row_list.append(attr_dict['RX Freq']) # Receive Frequency
# compute RX Ref Frequency
if float(attr_dict['RX Freq']) > 180.0:
row_list.append("Middle") # RX Ref Frequency (VHF/2 meters)
else:
row_list.append("Middle") # RX Ref Frequency (UHF/70cm )
row_list.append("None") # RX Receive Group
row_list.append("Off") # Emergency Alarm Indication
row_list.append("Off") # Emergency Alarm Ack
row_list.append("Off") # Emergency Call Indication
row_list.append(attr_dict['TX Freq']) # Transmit Frequency
# compute TX Ref Frequency
if float(attr_dict['TX Freq']) > 180.0:
row_list.append("Middle") # TX Ref Frequency (VHF/2 meters)
else:
row_list.append("Middle") # TX Ref Frequency (UHF/70cm )
# Need to translate non-alphanumeric characters to spaces
talk_group_str = re.sub('[^0-9a-zA-Z~ ]+', ' ', attr_dict['Talk Group'])
row_list.append(talk_group_str) # TX Contact
row_list.append("None") # Emergency System
# Power level
power_level = attr_dict['Power']
if power_level in ['Turbo','High']:
row_list.append("High")
else:
row_list.append(power_level)
# TX Admit (admit criteria)
dict_admit_criteria = attr_dict['TX Permit']
admit_criteria = "ERROR!" # just in case...
if dict_admit_criteria == "Always":
admit_criteria = "Always"
elif dict_admit_criteria in ['ChannelFree','Different Color Code']:
admit_criteria = "Channel Idle"
elif dict_admit_criteria == "Same Color Code":
admit_criteria = "Color Code Free"
row_list.append(admit_criteria) # TX Admit
row_list.append("180") # TX Time-out Time[s]
row_list.append("0") # TOT Re-key Time[s]
row_list.append("10") # TOT Pre-Alert Time[s]
row_list.append("Off") # Private Call Confirmed
row_list.append("Off") # Data Call Confirmed
row_list.append("Off") # Encrypt
# now add the row for this channel to our digital channels list
digital_channels_out_list.append(row_list)
# Need to ensure max channel count isn't reached
total_channel_cnt += 1
if total_channel_cnt > 2000:
print(" ERROR: Maximum channel count (2000) exceeded.")
print("Aborting...")
sys.exit(-1)
# create the digital channels data frame
digital_channels_out_df = pandas.DataFrame(digital_channels_out_list,
columns=digital_header_row)
# Create a Pandas Excel writer using XlsxWriter as the engine.
if debug:
print("Writing output to: ", channels_export_file)
writer = pandas.ExcelWriter(channels_export_file, engine='xlsxwriter')
analog_channels_out_df.to_excel(writer,
sheet_name="Analog Channel", index=False)
digital_channels_out_df.to_excel(writer,
sheet_name="Digital Channel", index=False)
writer.save()
return
def cs800d_write_talk_groups_export(talk_groups_dict,talk_groups_export_file, debug=False):
"""This function writes out a Connect Systems CS800D formatted talk groups import file."""
# Create a dataframe from the talk groups dict and output it...
header_row = ['No','Call Alias','Call Type','Call ID','Receive Tone']
talk_groups_out_list = []
cnt = 1
for tg_id in sorted(talk_groups_dict.keys()):
row_list = []
#row_list.append(str(cnt))
row_list.append(cnt)
cnt = cnt + 1
tg_name = talk_groups_dict[tg_id][0]
# Need to translate non-alphanumeric characters to spaces
tg_name = re.sub('[^0-9a-zA-Z~ ]+', ' ', tg_name)
tg_name.strip()
if len(tg_name) > 16:
print("WARNING: TG Name '{}' > 16, truncating to '{}'".format(tg_name,tg_name[:16]))
row_list.append(tg_name[:16])
tg_call_type = talk_groups_dict[tg_id][1]
row_list.append(tg_call_type)
row_list.append(tg_id)
tg_call_alert = talk_groups_dict[tg_id][2]
if tg_call_alert == "None":
tg_call_alert = "No"
else:
tg_call_alert = "Yes"
row_list.append(tg_call_alert)
talk_groups_out_list.append(row_list)
talk_groups_out_df = pandas.DataFrame(talk_groups_out_list, columns=header_row)
if debug:
print("Writing output to: ", talk_groups_export_file)
# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pandas.ExcelWriter(talk_groups_export_file, engine='xlsxwriter')
talk_groups_out_df.to_excel(writer, sheet_name="DMR_Contacts", index=False)
writer.save()
return
def opengd77_write_talk_groups_export(talk_groups_dict,talk_groups_export_file,
debug=False):
"""This function writes out an Open GD77 formatted talk groups import file."""
return
def opengd77_write_channels_export(channels_dict, channels_export_file,
debug=False):
"""This function writes out an Open GD77 CPS formatted channels file"""
return
def uv380_write_talk_groups_export(talk_groups_dict,talk_groups_export_file,
tytera_tg_index_dict, debug=False):
"""This function writes out a Tytera uv380 CPS formatted talk groups import file."""
# Prepare a dataframe from the talk groups dict
header_row = ['Contact Name','Call Type','Call ID','Call Receive Tone']
talk_groups_out_list = []
cnt = 1
for tg_id in sorted(talk_groups_dict.keys()):
row_list = []
# Contact Name
tg_name = talk_groups_dict[tg_id][0]
if len(tg_name) > 16:
print("WARNING: TG Name '{}' > 16, truncating to '{}'".format(
tg_name,tg_name[:16]))
row_list.append(tg_name[:16])
# Call Type
tytera_call_type_dict = {'Group Call':'1','Private Call':'2'}
tg_call_type = talk_groups_dict[tg_id][1]
if tg_call_type not in tytera_call_type_dict.keys():
print("ERROR: Can't convert '{}' to Tytera call type!".format(
tg_call_type))
print(" Aborting.")
sys.exit(-1)
row_list.append(tytera_call_type_dict[tg_call_type])
# Call ID
row_list.append(tg_id)
# Call Receive Tone
tytera_call_alert_dict = {'None':'0','Yes':'1'}
tg_call_alert = talk_groups_dict[tg_id][2]
if tg_call_alert not in tytera_call_alert_dict.keys():
print("ERROR: Can't convert '{}' to Tytera call alert!".format(
tg_call_alert))
print(" Aborting.")
sys.exit(-1)
row_list.append(tytera_call_alert_dict[tg_call_alert])
# append the row to our list
talk_groups_out_list.append(row_list)
# Update tytera_tg_index_dict so we can translate in channels file
tytera_tg_index_dict.update({tg_name[:16]:cnt})
cnt = cnt + 1
# Create the data frame
talk_groups_out_df = pandas.DataFrame(talk_groups_out_list,
columns=header_row)
# Output the data frame as CSV file
if debug:
print("Writing output to: ", talk_groups_export_file)
talk_groups_out_df.to_csv(talk_groups_export_file, index=False,
header=True, quoting=csv.QUOTE_NONE, line_terminator='\r\n')
# clean up...
del talk_groups_out_list
del talk_groups_out_df
return
def uv380_write_channels_export(channels_dict, channels_export_file,
tytera_tg_index_dict, debug=False):
"""This function writes out a Tytera uv380 CPS formatted channels file"""
header_row = ['Channel Mode','Channel Name','RX Frequency(MHz)',
'TX Frequency(MHz)','Band Width','Scan List','Squelch',
'RX Ref Frequency','TX Ref Frequency','TOT[s]',
'TOT Rekey Delay[s]','Power','Admit Criteria',
'Auto Scan','Rx Only','Lone Worker','VOX',
'Allow Talkaround','Send GPS Info','Receive GPS Info',
'Private Call Confirmed','Emergency Alarm Ack',
'Data Call Confirmed','Allow Interrupt','DCDM Switch',
'Leader/MS','Emergency System','Contact Name',
'Group List','Color Code','Repeater Slot',
'In Call Criteria','Privacy','Privacy No.',
'GPS System','CTCSS/DCS Dec','CTCSS/DCS Enc',
'Rx Signaling System','Tx Signaling System',
'QT Reverse','Non-QT/DQT Turn-off Freq',
'Display PTT ID','Reverse Burst/Turn-off Code',
'Decode 1','Decode 2','Decode 3','Decode 4',
'Decode 5','Decode 6','Decode 7','Decode 8'
]
# Create a dataframe from the channels dict and output it...
channels_out_list = []
cnt = 1
for ch_name in channels_dict.keys():
# get channel attributes dictionary
attr_dict = channels_dict[ch_name]
# now fill out this row in correct order for Tytera uv380
row_list = []
ch_type = attr_dict['Ch Type']
if ch_type == "Analog":
row_list.append('1') # Channel Mode
else:
row_list.append('2') # Channel Mode
row_list.append(ch_name) # Channel Name
row_list.append(attr_dict['RX Freq']) # Receive Frequency(MHz)
row_list.append(attr_dict['TX Freq']) # Transmit Frequency(MHz)
# translate bandwidth to Tytera 0 (12.5K), 1 (20), or 2 (25K)
if ch_type == "Analog":
tytera_bandwidth_dict = {'12.5K':'0', '20K':'1', '25K':'2'}
bandwidth = attr_dict['Bandwidth']
if bandwidth not in tytera_bandwidth_dict.keys():
print("ERROR: Can't convert '{}' to Tytera bandwidth!".format(
bandwidth))
print(" Aborting.")
sys.exit(-1)
row_list.append(tytera_bandwidth_dict[bandwidth])
else:
row_list.append('0')
row_list.append('0') # Scan List
row_list.append('1') # Squelch
row_list.append('0') # RX Ref Frequency
row_list.append('0') # TX Ref Frequency
row_list.append('8') # TOT[s] (index 8 = 120s)
row_list.append('0') # TOT Rekey Delay[s]
# translate power to Tytera 0 (Low), 1 (Middle), or 2 (High)
tytera_power_dict = {'Low':'0', 'Medium':'1',
'High':'2', 'Turbo':'2' }
power = attr_dict['Power']
if power not in tytera_power_dict.keys():
print("ERROR: Can't convert '{}' to Tytera power!".format(
power))
print(" Aborting.")
sys.exit(-1)
row_list.append(tytera_power_dict[power]) # Power
# Admit Criteria
if ch_type == 'Analog':
row_list.append('0')
else:
# translate Admit Criteria to Tytera 0 (Always), 3 (Color Code)
tytera_admit_criteria_dict = {'Always':'0', 'Same Color Code':'3'}
admit_criteria = attr_dict['TX Permit']
if admit_criteria not in tytera_admit_criteria_dict.keys():
print("ERROR: Can't convert '{}' to Tytera admit criteria!".format(
admit_criteria))
print(" Aborting.")
sys.exit(-1)
row_list.append(tytera_admit_criteria_dict[admit_criteria])
row_list.append('0') # Auto Scan
if attr_dict['RX Only'] == "On":
row_list.append('1') # Rx Only
else:
row_list.append('0') # Rx Only
row_list.append('0') # Lone Worker
row_list.append('0') # VOX
row_list.append('0') # Allow Talkaround
row_list.append('0') # Send GPS
row_list.append('0') # Receive GPS Info
row_list.append('0') # Private Call Confirmed
row_list.append('0') # Emergency Alarm Ack
row_list.append('0') # Data Call Confirmed
row_list.append('0') # Allow Interrupt
row_list.append('0') # DCDM Switch
row_list.append('1') # Leader/MS
row_list.append('0') # Emergency System
# Contact Name
if ch_type == 'Analog':
row_list.append('0')
else:
talk_group_str = attr_dict['Talk Group']
if talk_group_str not in tytera_tg_index_dict.keys():
print("ERROR: Can't convert '{}' to Tytera TG Index!".format(
talk_group_str))
print(" Aborting.")
sys.exit(-1)
row_list.append(tytera_tg_index_dict[talk_group_str])
row_list.append('0') # Group List
# Color Code
if ch_type == 'Analog':
row_list.append('1')
else:
row_list.append(attr_dict['Color Code'])
# Repeater Slot
if ch_type == 'Analog':
row_list.append('0')
else:
# translate Repeater Slot to Tytera 0 (Slot 1), 1 (Slot 2)
tytera_time_slot_dict = {'1':'0', '2':'1'}
time_slot = str(attr_dict['Time Slot'])
if time_slot not in tytera_time_slot_dict.keys():
print("ERROR: Can't convert '{}' to Tytera time slot!".format(
time_slot))
print(" Channel name = {}".format(ch_name))
print(" Aborting.")
sys.exit(-1)
row_list.append(tytera_time_slot_dict[time_slot])
# In Call Criteria
if ch_type == 'Analog':
row_list.append('0')
else:
row_list.append('1') # force "Follow Admit Criteria"
row_list.append('0') # Privacy
row_list.append('0') # Privacy No.
row_list.append('0') # GPS System
row_list.append(attr_dict['CTCSS Decode']) # CTCSS/DCS Dec
row_list.append(attr_dict['CTCSS Encode']) # CTCSS/DCS Enc
row_list.append('0') # Rx Signaling System
row_list.append('0') # Tx Signaling System
row_list.append('0') # QT Reverse
row_list.append('2') # Non-QT/DQT Turn-off Freq
row_list.append('1') # Display PTT ID
row_list.append('1') # Reverse Burst/Turn-off Code
row_list.append('0') # Decode 1
row_list.append('0') # Decode 2
row_list.append('0') # Decode 3
row_list.append('0') # Decode 4
row_list.append('0') # Decode 5
row_list.append('0') # Decode 6
row_list.append('0') # Decode 7
row_list.append('0') # Decode 8
# now add this row to the channels list
channels_out_list.append(row_list)
# Create data frame
channels_out_df = pandas.DataFrame(channels_out_list, columns=header_row)
# Group channels by Channel Type (analog then digital)
channels_out_df.sort_values(by=['Channel Mode','Channel Name'],
inplace=True)
channels_out_df.reset_index(drop=True, inplace=True)
# Write CSV file
if debug:
print("Writing output to: {}".format(channels_export_file))
channels_out_df.to_csv(channels_export_file, index=False,
header=True, quoting=csv.QUOTE_NONE, line_terminator='\r\n')
return
def read_zone_order_file(file_path, debug=False):
"""This function reads the Zone_Order.csv file and builds the zones_order_list."""
# read in the Zone_Order.csv file
if debug:
print("Processing: {}".format(file_path))
zones_order_df = pandas.read_csv(file_path)
# loop through k7abd file rows
zones_order_list = []
for i,row in zones_order_df.iterrows():
# get zone
zone_name = row['Zone Name']
zones_order_list.append(zone_name)
if debug:
print(" Returning zones_order_list: {}".format(zones_order_list))
return zones_order_list
def read_tg_filter_file(file_path, debug=False):