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Convert Avid ALE files to CSV
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| #!/usr/bin/env python | |
| from collections import OrderedDict | |
| from itertools import dropwhile | |
| import csv | |
| import argparse | |
| import os.path | |
| argparser = argparse.ArgumentParser() | |
| argparser.add_argument("ale_file", metavar="ALE", type=argparse.FileType(mode="r"), nargs="+") | |
| def main(): | |
| args = argparser.parse_args() | |
| for f in args.ale_file: | |
| columns, data = convert_ale_to_dict(f) | |
| f.close() | |
| if columns is not None: | |
| pre, ext = os.path.splitext(f.name) | |
| csv_path = pre + ".csv" | |
| csv_file = open(csv_path, mode="wb") | |
| dump_csv(csv_file, columns, data) | |
| csv_file.close() | |
| def convert_ale_to_dict(f): | |
| try: | |
| f_iter = f.read().splitlines() | |
| f_iter = dropwhile(lambda line: "Column" not in line.rstrip(), f_iter) | |
| column_line = next_or_none(f_iter) | |
| if column_line is None: | |
| raise Exception("No columns found " + f.name) | |
| column_names_line = next_or_none(f_iter) | |
| if column_names_line is None: | |
| raise Exception("No values for columns " + f.name) | |
| columns = column_names_line.replace("\n", "").split("\t") | |
| f_iter = dropwhile(lambda line: "Data" not in line.rstrip(), f_iter) | |
| data_line = next_or_none(f_iter) | |
| if data_line is None: | |
| raise Exception("No data found " + f.name) | |
| data = [] | |
| for data_values_line in f_iter: | |
| values = data_values_line.replace("\n", "").split("\t") | |
| values_dict = OrderedDict(zip(columns, values)) | |
| data.append(values_dict) | |
| return columns, data | |
| except Exception as e: | |
| print(e) | |
| return None, None | |
| def dump_csv(f, columns, data): | |
| dw = csv.DictWriter(f, fieldnames=columns) | |
| dw.writeheader() | |
| dw.writerows(data) | |
| def next_or_none(iter_obj): | |
| try: | |
| return next(iter_obj) | |
| except StopIteration: | |
| return None | |
| if __name__ == "__main__": | |
| main() |
Use awk '(NR == 1) || (FNR > 1)' file*.csv > bigfile.csv to combine all csv in terminal.
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Updated to iterate through multiple ALE args. Added functionality to handle Avid ALEs (previously only handled Resolve ALEs).