dmrids-gd77.py
· 3.4 KiB · Python
Raw
#!/usr/bin/env python3
"""Fetches the DMRID database from radioid.net
This script fetches the database of DMRIDs directly from
radioid.net and creates a CSV file to import it into
the GD77 running OpenGD77.
Author: Dominic Reich “OE7DRT”
<quick.hat4396@qtztsjosmprqmgtunjyf.com>
Usage:
------
./dmrids.py
No arguments are needed. Specify the folders in the
source below.
"""
import os
from datetime import datetime, timedelta
import requests
import pandas as pd
def main():
"""main function
Runs if script is run by itself.
"""
# User configuration --------------------------------
database_url = 'https://www.radioid.net/static/user.csv'
local_folder = '/home/dominic/.hamradio/'
output_filename = 'DMR-IDS-GD77.csv'
tmpfile = '/tmp/dmrids.download'
regions = ['232', '262', '263', '264', '228', '222']
# regions = ['232']
fav_filename = 'Favorites.txt'
# blacklist_filename = 'BlacklistedCalls.txt'
# End of User configuration -------------------------
if os.path.isfile(local_folder + output_filename) and os.access(local_folder + output_filename, os.R_OK):
print('Local file found. Will overwrite the file if it\'s old enough.')
one_day_ago = datetime.now() - timedelta(days=1)
filetime = datetime.fromtimestamp(
os.path.getctime(local_folder + output_filename))
if not filetime < one_day_ago:
print('Nope, the file is quite actual ({})\n'.format(filetime))
a = input(
'Do you really want to fetch the database? (y/n): ')
if a.lower() != 'y':
exit(0)
# read favorites
favorites = []
if os.path.isfile(local_folder + fav_filename) and os.access(local_folder + fav_filename, os.R_OK):
with open(local_folder + fav_filename, 'r') as file:
for line in file:
line = line.strip()
favorites.append(line)
else:
# This is because the program will create weird resuls otherwise.
# Needs some error handling but is not finished yet. So there we use this
# now until fixed.
print('Could not open favorites file.')
exit(1)
print('Downloading database (this may take some time)')
r = requests.get(database_url)
if r.status_code == 200:
with open(tmpfile, "wb") as file:
file.write(r.content)
else:
print('Download failed. Exiting')
exit(1)
# Damn this took so long to figure out that I have to escape them with \\
# and not only with \ ... *grml*
searchstr = '\\b(?:' + '|'.join(regions) + ')\\d+\\b'
favsearchstr = '|'.join(favorites)
# Open full csv file and create two DataFrames with filtered users and favorites
csv_full = pd.read_csv(tmpfile, dtype=str, usecols=['RADIO_ID', 'CALLSIGN', 'FIRST_NAME'])
csv_filt = csv_full[csv_full['RADIO_ID'].str.contains(searchstr)]
csv_favs = csv_full[csv_full['CALLSIGN'].str.contains(favsearchstr, na=False)]
# Merge regional and whitelist, sort and remove dupes
csv_fin = pd.concat([csv_filt, csv_favs], ignore_index=True)
csv_fin.sort_values('RADIO_ID', inplace=True)
csv_fin.drop_duplicates(subset=['RADIO_ID'], inplace=True)
# Write the final csv file
csv_fin.to_csv(local_folder + output_filename, index=False)
# print(csv_fin[csv_fin['CALLSIGN'].isin(['DD7MH'])])
if __name__ == "__main__":
main()
| 1 | #!/usr/bin/env python3 |
| 2 | |
| 3 | """Fetches the DMRID database from radioid.net |
| 4 | |
| 5 | This script fetches the database of DMRIDs directly from |
| 6 | radioid.net and creates a CSV file to import it into |
| 7 | the GD77 running OpenGD77. |
| 8 | |
| 9 | Author: Dominic Reich “OE7DRT” |
| 10 | <quick.hat4396@qtztsjosmprqmgtunjyf.com> |
| 11 | |
| 12 | |
| 13 | Usage: |
| 14 | ------ |
| 15 | ./dmrids.py |
| 16 | |
| 17 | No arguments are needed. Specify the folders in the |
| 18 | source below. |
| 19 | """ |
| 20 | |
| 21 | import os |
| 22 | from datetime import datetime, timedelta |
| 23 | import requests |
| 24 | import pandas as pd |
| 25 | |
| 26 | |
| 27 | def main(): |
| 28 | """main function |
| 29 | |
| 30 | Runs if script is run by itself. |
| 31 | """ |
| 32 | |
| 33 | # User configuration -------------------------------- |
| 34 | database_url = 'https://www.radioid.net/static/user.csv' |
| 35 | local_folder = '/home/dominic/.hamradio/' |
| 36 | output_filename = 'DMR-IDS-GD77.csv' |
| 37 | tmpfile = '/tmp/dmrids.download' |
| 38 | regions = ['232', '262', '263', '264', '228', '222'] |
| 39 | # regions = ['232'] |
| 40 | fav_filename = 'Favorites.txt' |
| 41 | # blacklist_filename = 'BlacklistedCalls.txt' |
| 42 | |
| 43 | # End of User configuration ------------------------- |
| 44 | |
| 45 | if os.path.isfile(local_folder + output_filename) and os.access(local_folder + output_filename, os.R_OK): |
| 46 | print('Local file found. Will overwrite the file if it\'s old enough.') |
| 47 | one_day_ago = datetime.now() - timedelta(days=1) |
| 48 | filetime = datetime.fromtimestamp( |
| 49 | os.path.getctime(local_folder + output_filename)) |
| 50 | if not filetime < one_day_ago: |
| 51 | print('Nope, the file is quite actual ({})\n'.format(filetime)) |
| 52 | a = input( |
| 53 | 'Do you really want to fetch the database? (y/n): ') |
| 54 | if a.lower() != 'y': |
| 55 | exit(0) |
| 56 | |
| 57 | # read favorites |
| 58 | favorites = [] |
| 59 | if os.path.isfile(local_folder + fav_filename) and os.access(local_folder + fav_filename, os.R_OK): |
| 60 | with open(local_folder + fav_filename, 'r') as file: |
| 61 | for line in file: |
| 62 | line = line.strip() |
| 63 | favorites.append(line) |
| 64 | else: |
| 65 | # This is because the program will create weird resuls otherwise. |
| 66 | # Needs some error handling but is not finished yet. So there we use this |
| 67 | # now until fixed. |
| 68 | print('Could not open favorites file.') |
| 69 | exit(1) |
| 70 | |
| 71 | print('Downloading database (this may take some time)') |
| 72 | r = requests.get(database_url) |
| 73 | if r.status_code == 200: |
| 74 | with open(tmpfile, "wb") as file: |
| 75 | file.write(r.content) |
| 76 | else: |
| 77 | print('Download failed. Exiting') |
| 78 | exit(1) |
| 79 | |
| 80 | # Damn this took so long to figure out that I have to escape them with \\ |
| 81 | # and not only with \ ... *grml* |
| 82 | searchstr = '\\b(?:' + '|'.join(regions) + ')\\d+\\b' |
| 83 | favsearchstr = '|'.join(favorites) |
| 84 | |
| 85 | # Open full csv file and create two DataFrames with filtered users and favorites |
| 86 | csv_full = pd.read_csv(tmpfile, dtype=str, usecols=['RADIO_ID', 'CALLSIGN', 'FIRST_NAME']) |
| 87 | csv_filt = csv_full[csv_full['RADIO_ID'].str.contains(searchstr)] |
| 88 | csv_favs = csv_full[csv_full['CALLSIGN'].str.contains(favsearchstr, na=False)] |
| 89 | |
| 90 | # Merge regional and whitelist, sort and remove dupes |
| 91 | csv_fin = pd.concat([csv_filt, csv_favs], ignore_index=True) |
| 92 | csv_fin.sort_values('RADIO_ID', inplace=True) |
| 93 | csv_fin.drop_duplicates(subset=['RADIO_ID'], inplace=True) |
| 94 | |
| 95 | # Write the final csv file |
| 96 | csv_fin.to_csv(local_folder + output_filename, index=False) |
| 97 | # print(csv_fin[csv_fin['CALLSIGN'].isin(['DD7MH'])]) |
| 98 | |
| 99 | |
| 100 | if __name__ == "__main__": |
| 101 | main() |
| 102 |