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""" |
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CommandLineArgumentsHandling - a command line arguments handling library |
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This library allows handling pre-configured arguments to be received from command line and use them |
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to call the main package functions |
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Potential changes to implement: |
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argparse = Alternative command line option and argument parsing library. |
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https://www.programcreek.com/python/example/748/argparse.ArgumentParser |
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""" |
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# standard Python packages |
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import getopt |
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import sys |
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# additional Python packages available from PyPi |
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import pandas as pd |
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# Custom classes specific to this package |
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from .TableauHyperApiExtraLogic import ClassBN |
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from .TableauHyperApiExtraLogic import TableauHyperApiExtraLogic as ClassTHAEL |
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View Code Duplication |
class CommandLineArgumentsHandling: |
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@staticmethod |
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def fn_assess_option(current_option, str_meaning, given_default_value): |
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if ClassBN.cfg_dtls['options'][current_option]['default_value'] == given_default_value: |
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str_feedback_parts = { |
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'prefix': 'Fatal Error', |
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'verdict': 'Expected -' + current_option + '|--' |
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+ ClassBN.cfg_dtls['options'][current_option]['option_long'] |
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+ ' <' |
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+ ClassBN.cfg_dtls['options'][current_option]['option_sample_value'] |
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+ '> but nothing of that sort has been seen...', |
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'suffix': ':-(' |
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} |
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ln = len(str_feedback_parts['verdict']) - len(str_feedback_parts['prefix']) |
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ClassBN.fn_timestamped_print(ClassBN, str_feedback_parts['prefix'] + '_'*ln) |
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print(str_feedback_parts['verdict'] + ' ' + str_feedback_parts['suffix']) |
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sys.exit(2) |
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ClassBN.fn_timestamped_print(ClassBN, str_meaning + ' is "' + given_default_value + '"') |
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@staticmethod |
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def fn_build_combined_options(): |
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str_combined_opts = '' |
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for option_index, crt_opt in enumerate(ClassBN.cfg_dtls['options']): |
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if crt_opt is not None: |
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str_option_crt = '-' + crt_opt + '|--'\ |
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+ ClassBN.cfg_dtls['options'][crt_opt]['option_long'] |
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if 'option_sample_value' in ClassBN.cfg_dtls['options'][crt_opt]: |
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str_option_crt += ' <'\ |
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+ ClassBN.cfg_dtls['options'][crt_opt]['option_sample_value']\ |
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+ '>' |
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if ClassBN.cfg_dtls['options'][crt_opt]['option_type'] == 'optional': |
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str_combined_opts += ' [' + str_option_crt\ |
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+ '|if omitted, default value will be considered: '\ |
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+ str(ClassBN.cfg_dtls['options'][crt_opt]['default_value'])\ |
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+ ']' |
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else: |
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str_combined_opts += ' ' + str_option_crt |
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return str_combined_opts |
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@staticmethod |
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def fn_build_long_options(): |
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str_opts = [] |
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for option_index, crt_lng_opt in enumerate(ClassBN.cfg_dtls['options']): |
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if crt_lng_opt is not None: |
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str_opts.append(option_index) |
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str_opts[option_index] = ClassBN.cfg_dtls['options'][crt_lng_opt]['option_long']\ |
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+ '=' |
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return str_opts |
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@staticmethod |
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def fn_build_short_options(): |
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str_short_options = 'h' |
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for crt_short_opt in ClassBN.cfg_dtls['options']: |
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if crt_short_opt is not None: |
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if ClassBN.cfg_dtls['options'][crt_short_opt]['option_type'] == 'mandatory': |
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str_short_options += crt_short_opt + ':' |
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else: |
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str_short_options += crt_short_opt |
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return str_short_options |
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def fn_command_line_argument_digest(self, help_feedback): |
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try: |
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opts, args = getopt.getopt(sys.argv[1:], |
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self.fn_build_short_options(), |
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self.fn_build_long_options()) |
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return opts |
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except getopt.GetoptError: |
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print(help_feedback) |
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sys.exit(2) |
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def fn_command_line_argument_interpretation(self): |
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print('#' * 120) |
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input_file = '' |
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csv_field_separator = ',' |
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output_file = '' |
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verbose = False |
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help_feedback = __file__ + self.fn_build_combined_options() |
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opts = self.fn_command_line_argument_digest(self, help_feedback) |
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for opt, arg in opts: |
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if opt in ("-h", "--help"): |
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print(help_feedback) |
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sys.exit() |
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elif opt in ("-i", "--input-file"): |
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input_file = arg |
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elif opt in ("-s", "--csv-field-separator"): |
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csv_field_separator = arg |
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elif opt in ("-o", "--output-file"): |
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output_file = arg |
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elif opt in ("-v", "--verbose"): |
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verbose = True |
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else: |
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assert False, "Unhandled Option: " + arg |
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self.fn_assess_option('i', 'Input file', input_file) |
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ClassBN.fn_timestamped_print(ClassBN, 'CSV field separator is "' |
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+ csv_field_separator + '"') |
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self.fn_assess_option('o', 'Output file', output_file) |
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print('#' * 120) |
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csv_content_df = pd.read_csv(filepath_or_buffer=input_file, |
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delimiter=csv_field_separator, |
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cache_dates=True, |
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index_col=None, |
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memory_map=True, |
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encoding='utf-8') |
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ClassTHAEL.fn_run_hyper_creation(ClassTHAEL, |
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csv_content_df, |
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ClassBN.cfg_dtls['data_types'], |
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output_file, verbose) |
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danielgp /
tableau-hyper-management
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