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Added examples
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‎examples/README.md‎

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PyADIF-File Examples
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====================
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For all examples it is expected that PyADIF-File is installed properly in the system wide site-packages
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and you run Python >= 3.10 as well
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# pip install pyadif-file
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**Have fun!**
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gen_big_adi
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-----------
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This tool generates huge ADIF files in ADI or ADX format.
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This files can be used for performance testing your code.
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gen_big_adi.py [NUMBER_QSOS] [-x]
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Per default it generates a 1000 QSO sized ADI file
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# gen_big_adi.py -x 10000
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This will generate a 10000 QSO ADX file.
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csv2adi
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-------
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This tool converts an ADI file to CSV or vice versa.
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As CSV field seperator `;` is used.
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csv2adi.py [INPUT] [OUTPUT] [-n]
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Generate ADI from CSV (use `-n` to omit a header)
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# csv2adi.py file.csv file.adi
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Generate CSV from ADI
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# csv2adi.py file.adi file.csv
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nu_plugin_adi
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-------------
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This one provides a plugin to use ADI format inside [Nushell](https://www.nushell.sh/) easily.
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The plugin provides `to adi` and `from adi`.
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It's just the start of development so do not be afraid of some misbehaviour.
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I learned Nushell just two weeks ago and couldn't resist.
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Register plugin in running Nushell
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# plugin add ./nu_plugin_adi.py
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# plugin use adi
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Show the first 10 QSOs from ADI file as table (`from adi` is automatically run from `open` on .adi files)
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# open file.adi | first 10
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Once information is represented as a table, all Nushell doors are wide open...
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Find all QSO with a portable station in ADI, select some columns only
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and store them to CSV (using non default separator `;`)
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# open file.adi | where CALL =~ "/P" | select QSO_DATE TIME_ON CALL BAND MODE | to csv -s ";" | save file.csv
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Convert CSV to ADI (using non default separator `;`)
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# open file.csv --raw | from csv -s ";" | to adi | save file.adi
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You get it? Be amazed! I am! Totally!

‎examples/csv2adi.py‎

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#!/usr/bin/env python
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import sys
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import csv
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from adif_file import adi
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CSV_SEPARATOR = ';'
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def csv2adi(csv_file: str, adi_file: str, header=True):
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doc = {'RECORDS': []}
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if header:
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doc['HEADER'] = {}
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with open(csv_file) as csv_f:
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for row in csv.DictReader(csv_f, delimiter=CSV_SEPARATOR):
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doc['RECORDS'].append(row)
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adi.dump(adi_file, doc)
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def adi2csv(adi_file: str, csv_file: str):
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with open(adi_file) as adi_f:
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adi_str = adi_f.read()
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fieldnames = ['QSO_DATE', 'TIME_ON', 'CALL', 'BAND', 'MODE', 'RST_SENT', 'RST_RCVD']
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for i, rec in enumerate(adi.loadi(adi_str)):
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if i == 0:
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continue
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for k in rec.keys():
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if k not in fieldnames:
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fieldnames.append(k)
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with open(csv_file, 'w', newline='') as csv_f:
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csv_w = csv.DictWriter(csv_f, fieldnames, delimiter=CSV_SEPARATOR)
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csv_w.writeheader()
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for i, rec in enumerate(adi.loadi(adi_str)):
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if i == 0:
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continue
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csv_w.writerow(rec)
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if __name__ == '__main__':
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import os
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if len(sys.argv) > 2:
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fin = sys.argv.pop(1)
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fout = sys.argv.pop(1)
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ftype = os.path.splitext(fin)[1]
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if not os.path.isfile(fin):
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sys.exit(f'Unable to read file "{fin}"')
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if ftype == '.csv':
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csv2adi(fin, fout, not (len(sys.argv) > 1 and sys.argv[1] == '-n'))
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elif ftype == '.adi':
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adi2csv(fin, fout)
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else:
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sys.exit(f'Unable to determin filetype from extension "{ftype}".\nUse .adi or .csv files only.')
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else:
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sys.exit(f'Requires an .adi or .csv file as parameter\nUsage: {sys.argv[0]} INPUT OUTPUT [-n]')

‎examples/data/bands.json‎

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}

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